OrsoEric · May 24, 2025 10:19
diff --git a/gistfile1.txt b/gistfile1.txt
 ```
 #!/bin/bash
 cd
 cd ComfyUI
 #activate UV virtual environment
 source Dreamy/bin/activate

 #Set ROCm FLAGS

 #??? something to do with acceleration to use
 #export MIOPEN_FIND_MODE=2

 export MIOPEN_DEBUG_CONV_DIRECT_NAIVE_CONV_FWD=0

 export MIOPEN_LOG_LEVEL=5
 export MIOPEN_ENABLE_LOGGING=1
 export MIOPEN_ENABLE_LOGGING_CMD=1

 #Run ComfyUI
 python main.py
 ```


 <details>
 <summary>Flux debug</summary>

 ```

 got prompt
 Using split attention in VAE
 Using split attention in VAE
 VAE load device: cuda:0, offload device: cpu, dtype: torch.float32
 Requested to load FluxClipModel_
 loaded completely 9.5367431640625e+25 9319.23095703125 True
 CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cuda:0, dtype: torch.float16
 clip missing: ['text_projection.weight']
 model weight dtype torch.float8_e4m3fn, manual cast: torch.bfloat16
 model_type FLUX
 Using split attention in VAE
 Using split attention in VAE
 VAE load device: cuda:0, offload device: cpu, dtype: torch.float32
 CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16
 Requested to load Flux
 loaded partially 10632.809355468751 10632.642578125 0
 20%|████████████████▊                                                                   | 4/20 [00:10<00:40,  2.50s/it 25%|█████████████████████                                                               | 5/20 [00:12<00:34,  2.32s/it]
 30%|█████████████████████████▏                                                          | 6/20 [00:13<00:30,  2.19s 35%|█████████████████████████████▍                                                      | 7/20 [00:15<00:27,  2.11s 40%|█████████████████████████████████▌                                                  | 8/20 [00:17<00:24,  2.05s 45%|█████████████████████████████████████▊                                              | 9/20 [00:19<00:22,  2.02s 50%|█████████████████████████████████████████▌                                         | 10/20 [00:21<00:20,  2.01s 55%|█████████████████████████████████████████████▋                                     | 11/20 [00:23<00:18,  2.01s 60%|█████████████████████████████████████████████████▊                                 | 12/20 [00:25<00:16,  2.01s 65%|█████████████████████████████████████████████████████▉                             | 13/20 [00:27<00:14,  2.04s 70%|██████████████████████████████████████████████████████████                         | 14/20 [00:29<00:12,  2.03s 75%|██████████████████████████████████████████████████████████████▎                    | 15/20 [00:31<00:10,  2.02s 80%|██████████████████████████████████████████████████████████████████▍                | 16/20 [00:33<00:08,  2.01s 85%|██████████████████████████████████████████████████████████████████████▌            | 17/20 [00:35<00:06,  2.02s 90%|██████████████████████████████████████████████████████████████████████████▋        | 18/20 [00:37<00:04,  2.01s 95%|██████████████████████████████████████████████████████████████████████████████▊    | 19/20 [00:41<00:02,  2.46s100%|███████████████████████████████████████████████████████████████████████████████████| 20/20 [00:43<00:00,  2.32s100%|███████████████████████████████████████████████████████████████████████████████████| 20/20 [00:43<00:00,  2.17s/it]
 Requested to load AutoencodingEngine
 0 models unloaded.
 loaded completely 3667.815625 319.7467155456543 True
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [Handle] stream: 0, device_id: 0
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fad4f7d7440
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 16 128 128 }
 MIOpen(HIP):    stride.values = { 262144 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa920
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 16 3 3 }
 MIOpen(HIP):    stride.values = { 144 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa980
 MIOpen(HIP): }
 MIOpen(HIP): Info [] MIOPEN_FIND_MODE = DYNAMIC_HYBRID(5)
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {512, 16, 3, 3}, {144, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 16, 128, 128}, {262144, 16384, 128, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [AmdRocmMetadataVersionDetect] ROCm MD version AMDHSA_COv3, HIP version 6.3.42134, MIOpen version3.3.0.d22d5a13f-dirty
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [IsNetworkedFilesystem] Filesystem type at '"/home/meridia/.config/miopen/"' is: 0xef53 'EXT2/3/4_SUPER_MAGIC'
 MIOpen(HIP): Info [Measure] ReadonlyRamDb::Prefetch time: 0.000163 ms
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.408126 ms
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 16, 128, 128}, {262144, 16384, 128, 1}, packed,
 MIOpen(HIP):    x = 0x7fc78f700000
 MIOpen(HIP):    wDesc = {512, 16, 3, 3}, {144, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7907b0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    y = 0x7fca33c00000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 16 -H 128 -W 128 -k 512 -y 3 -x 3 -p 1-q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [Prefetch] File is unreadable: "/home/meridia/.config/miopen/gfx1100_48.HIP.3_3_0_d22d5a13f-dirty.udb.txt"
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.013989 ms
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [IsNetworkedFilesystem] Filesystem type at '"/home/meridia/.cache/miopen/3.3.0.d22d5a13f-dirty"' is: 0xef53 'EXT2/3/4_SUPER_MAGIC'
 MIOpen(HIP): Info [KernDb] database not present
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    0.067965        0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 0.067965
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa6e8
 MIOpen(HIP):    xDesc = {1, 16, 128, 128}, {262144, 16384, 128, 1}, packed,
 MIOpen(HIP):    x = 0x7fc78f700000
 MIOpen(HIP):    wDesc = {512, 16, 3, 3}, {144, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7907b0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa6f0
 MIOpen(HIP):    yDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    y = 0x7fca33c00000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 16 -H 128 -W 128 -k 512 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 16, 3, 3}, {144, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 16, 128, 128}, {262144, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb705b433a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    x = 0x7fca37c00000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc959a00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    y = 0x7fc95dc00000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 128 -W 128 -k 512 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    1.3416  0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 1.3416
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    x = 0x7fca37c00000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc959a00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    y = 0x7fc95dc00000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 128 -W 128 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb705b43160
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    x = 0x7fca37c00000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc959100000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    y = 0x7fc95dc00000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 128 -W 128 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb705b433a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 1 1 }
 MIOpen(HIP):    stride.values = { 512 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    x = 0x7fc95dc00000
 MIOpen(HIP):    wDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc797600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    y = 0x7fca33c00000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 128 -W 128 -k 512 -y 1 -x 1 -p 0 -q 0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwd1x1_0_1 (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoGEMM        0.315153        0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: GemmFwd1x1_0_1 , 0, 0.315153
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    x = 0x7fc95dc00000
 MIOpen(HIP):    wDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc797600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    y = 0x7fca33c00000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 128 -W 128 -k 512 -y 1 -x 1 -p 0 -q0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb705b423d0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 1 1 }
 MIOpen(HIP):    stride.values = { 512 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    x = 0x7fc95dc00000
 MIOpen(HIP):    wDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7a7600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    y = 0x7fca72000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 128 -W 128 -k 512 -y 1 -x 1 -p 0 -q0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fad4f7dbdd0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 1 1 }
 MIOpen(HIP):    stride.values = { 512 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    x = 0x7fc95dc00000
 MIOpen(HIP):    wDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc790100000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    y = 0x7fca74000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 128 -W 128 -k 512 -y 1 -x 1 -p 0 -q0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb688900250
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 1 1 }
 MIOpen(HIP):    stride.values = { 512 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    x = 0x7fca76000000
 MIOpen(HIP):    wDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc797700000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    y = 0x7fc95dc00000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 128 -W 128 -k 512 -y 1 -x 1 -p 0 -q0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb688901f90
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    x = 0x7fc95dc00000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc958800000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    y = 0x7fca33c00000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 128 -W 128 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb688900250
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    x = 0x7fc95dc00000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc956e00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    y = 0x7fca33c00000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 128 -W 128 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb688901f90
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    x = 0x7fca33c00000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc952400000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    y = 0x7fca37c00000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 128 -W 128 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb688900250
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    x = 0x7fca33c00000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc951a00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    y = 0x7fca37c00000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 128 -W 128 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb688901f90
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    x = 0x7fc95dc00000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc951100000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    y = 0x7fca37c00000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 128 -W 128 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb688900250
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    x = 0x7fc95dc00000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc950800000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    y = 0x7fca37c00000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 128 -W 128 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb688901f90
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    x = 0x7fca33c00000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc94ee00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    y = 0x7fca37c00000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 128 -W 128 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb688900250
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 128 128 }
 MIOpen(HIP):    stride.values = { 8388608 16384 128 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    x = 0x7fca33c00000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc94e500000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP):    y = 0x7fca37c00000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 128 -W 128 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 128, 128}, {8388608, 16384, 128, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb688970330
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 256 256 }
 MIOpen(HIP):    stride.values = { 33554432 65536 256 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 256 256 }
 MIOpen(HIP):    stride.values = { 33554432 65536 256 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP):    x = 0x7fca8a000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc94dc00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP):    y = 0x7fca92000000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 256 -W 256 -k 512 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    5.64657 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 5.64657
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP):    x = 0x7fca8a000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc94dc00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP):    y = 0x7fca92000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 256 -W 256 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb688979f60
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 256 256 }
 MIOpen(HIP):    stride.values = { 33554432 65536 256 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 256 256 }
 MIOpen(HIP):    stride.values = { 33554432 65536 256 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP):    x = 0x7fca8a000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc956500000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP):    y = 0x7fca9a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 256 -W 256 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb688970330
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 256 256 }
 MIOpen(HIP):    stride.values = { 33554432 65536 256 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 256 256 }
 MIOpen(HIP):    stride.values = { 33554432 65536 256 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP):    x = 0x7fca8a000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc955c00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP):    y = 0x7fca9a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 256 -W 256 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb688979f60
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 256 256 }
 MIOpen(HIP):    stride.values = { 33554432 65536 256 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 256 256 }
 MIOpen(HIP):    stride.values = { 33554432 65536 256 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP):    x = 0x7fca92000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc955200000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP):    y = 0x7fca9a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 256 -W 256 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb688970330
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 256 256 }
 MIOpen(HIP):    stride.values = { 33554432 65536 256 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 256 256 }
 MIOpen(HIP):    stride.values = { 33554432 65536 256 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP):    x = 0x7fca92000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc954900000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP):    y = 0x7fca9a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 256 -W 256 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb688979f60
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 256 256 }
 MIOpen(HIP):    stride.values = { 33554432 65536 256 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 256 256 }
 MIOpen(HIP):    stride.values = { 33554432 65536 256 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP):    x = 0x7fca8a000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc954000000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP):    y = 0x7fca9a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 256 -W 256 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb688970330
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 256 256 }
 MIOpen(HIP):    stride.values = { 33554432 65536 256 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 256 256 }
 MIOpen(HIP):    stride.values = { 33554432 65536 256 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP):    x = 0x7fca8a000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc953600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP):    y = 0x7fca9a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 256 -W 256 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 256, 256}, {33554432, 65536, 256, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb688979f60
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 512 512 }
 MIOpen(HIP):    stride.values = { 134217728 262144 512 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 512 512 }
 MIOpen(HIP):    stride.values = { 134217728 262144 512 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 512, 512, 512}, {134217728, 262144, 512, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 512, 512}, {134217728, 262144, 512, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 512, 512, 512}, {134217728, 262144, 512, 1}, packed,
 MIOpen(HIP):    x = 0x7fca92000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc952d00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 512, 512}, {134217728, 262144, 512, 1}, packed,
 MIOpen(HIP):    y = 0x7fcaca000000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 512 -W 512 -k 512 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    22.4071 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 22.4071
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 512, 512}, {134217728, 262144, 512, 1}, packed,
 MIOpen(HIP):    x = 0x7fca92000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc952d00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 512, 512}, {134217728, 262144, 512, 1}, packed,
 MIOpen(HIP):    y = 0x7fcaca000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 512 -W 512 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 512, 512}, {134217728, 262144, 512, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 512, 512}, {134217728, 262144, 512, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb688979770
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 512 512 }
 MIOpen(HIP):    stride.values = { 134217728 262144 512 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 512 512 }
 MIOpen(HIP):    stride.values = { 67108864 262144 512 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {256, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 512, 512, 512}, {134217728, 262144, 512, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 512, 512, 512}, {134217728, 262144, 512, 1}, packed,
 MIOpen(HIP):    x = 0x7fca8a000000
 MIOpen(HIP):    wDesc = {256, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95a880000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP):    y = 0x7fcaaa000000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 512 -W 512 -k 256 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    12.2668 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 12.2668
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 512, 512}, {134217728, 262144, 512, 1}, packed,
 MIOpen(HIP):    x = 0x7fca8a000000
 MIOpen(HIP):    wDesc = {256, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95a880000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP):    y = 0x7fcaaa000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 512 -W 512 -k 256 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 512, 512}, {134217728, 262144, 512, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68896c3e0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 512 512 }
 MIOpen(HIP):    stride.values = { 67108864 262144 512 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 512 512 }
 MIOpen(HIP):    stride.values = { 67108864 262144 512 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP):    x = 0x7fcaba000000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95c240000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP):    y = 0x7fca8a000000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 512 -W 512 -k 256 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    5.79605 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 5.79605
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP):    x = 0x7fcaba000000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95c240000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP):    y = 0x7fca8a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 512 -W 512 -k 256 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb705b402a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 512 512 }
 MIOpen(HIP):    stride.values = { 134217728 262144 512 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 512 1 1 }
 MIOpen(HIP):    stride.values = { 512 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 512 512 }
 MIOpen(HIP):    stride.values = { 67108864 262144 512 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {256, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 512, 512, 512}, {134217728, 262144, 512, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 512, 512, 512}, {134217728, 262144, 512, 1}, packed,
 MIOpen(HIP):    x = 0x7fcaca000000
 MIOpen(HIP):    wDesc = {256, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc78f680000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP):    y = 0x7fca9a000000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 512 -W 512 -k 256 -y 1 -x 1 -p 0 -q 0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwd1x1_0_1 (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoGEMM        2.73638 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: GemmFwd1x1_0_1 , 0, 2.73638
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 512, 512}, {134217728, 262144, 512, 1}, packed,
 MIOpen(HIP):    x = 0x7fcaca000000
 MIOpen(HIP):    wDesc = {256, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc78f680000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP):    y = 0x7fca9a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 512 -W 512 -k 256 -y 1 -x 1 -p 0 -q0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 512, 512}, {134217728, 262144, 512, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68896fce0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 512 512 }
 MIOpen(HIP):    stride.values = { 67108864 262144 512 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 512 512 }
 MIOpen(HIP):    stride.values = { 67108864 262144 512 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP):    x = 0x7fcaba000000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95c000000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP):    y = 0x7fca8a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 512 -W 512 -k 256 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb705b402a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 512 512 }
 MIOpen(HIP):    stride.values = { 67108864 262144 512 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 512 512 }
 MIOpen(HIP):    stride.values = { 67108864 262144 512 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP):    x = 0x7fca9a000000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95bcc0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP):    y = 0x7fca8a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 512 -W 512 -k 256 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68896fce0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 512 512 }
 MIOpen(HIP):    stride.values = { 67108864 262144 512 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 512 512 }
 MIOpen(HIP):    stride.values = { 67108864 262144 512 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP):    x = 0x7fca8a000000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95ba80000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP):    y = 0x7fcaaa000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 512 -W 512 -k 256 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb705b402a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 512 512 }
 MIOpen(HIP):    stride.values = { 67108864 262144 512 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 512 512 }
 MIOpen(HIP):    stride.values = { 67108864 262144 512 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP):    x = 0x7fca8a000000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95b840000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP):    y = 0x7fcaaa000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 512 -W 512 -k 256 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 512, 512}, {67108864, 262144, 512, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb688979770
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 1024 1024 }
 MIOpen(HIP):    stride.values = { 268435456 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 1024 1024 }
 MIOpen(HIP):    stride.values = { 268435456 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fcaea000000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95b600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fcb2a000000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 1024 -W 1024 -k 256 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    22.8937 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 22.8937
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fcaea000000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95b600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fcb2a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 1024 -W 1024 -k 256 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb704351fb0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 1024 1024 }
 MIOpen(HIP):    stride.values = { 268435456 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {128, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fca8a000000
 MIOpen(HIP):    wDesc = {128, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95c5a0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fcaea000000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 1024 -W 1024 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    13.1433 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 13.1433
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fca8a000000
 MIOpen(HIP):    wDesc = {128, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95c5a0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fcaea000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 1024 -W 1024 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb705b46060
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fcb0a000000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7a0690000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fcaea000000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1024 -W 1024 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    6.2633  0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 6.2633
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fcb0a000000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7a0690000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fcaea000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1024 -W 1024 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68890ee80
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 1024 1024 }
 MIOpen(HIP):    stride.values = { 268435456 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 256 1 1 }
 MIOpen(HIP):    stride.values = { 256 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {128, 256, 1, 1}, {256, 1, 1, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fcb2a000000
 MIOpen(HIP):    wDesc = {128, 256, 1, 1}, {256, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7a07b0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fcb0a000000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 1024 -W 1024 -k 128 -y 1 -x 1 -p 0 -q 0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwd1x1_0_1 (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoGEMM        2.78934 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: GemmFwd1x1_0_1 , 0, 2.78934
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fcb2a000000
 MIOpen(HIP):    wDesc = {128, 256, 1, 1}, {256, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7a07b0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fcb0a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 1024 -W 1024 -k 128 -y 1 -x 1 -p 0 -q 0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 256, 1, 1}, {256, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb6889704a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fcaea000000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7a0600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fcb0a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1024 -W 1024 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb705b422b0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fcaea000000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc790720000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fcb0a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1024 -W 1024 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb6889704a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fca8a000000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc790690000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fcb0a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1024 -W 1024 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb705b422b0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fca8a000000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc790600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fcb0a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1024 -W 1024 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb6889704a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa920
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 3 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 3 1024 1024 }
 MIOpen(HIP):    stride.values = { 3145728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa980
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {3, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 3, 1024, 1024}, {3145728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fcb0a000000
 MIOpen(HIP):    wDesc = {3, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7907fc600
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 3, 1024, 1024}, {3145728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fc95c6c0000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1024 -W 1024 -k 3 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    1.43226 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 1.43226
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa6e8
 MIOpen(HIP):    xDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fcb0a000000
 MIOpen(HIP):    wDesc = {3, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7907fc600
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa6f0
 MIOpen(HIP):    yDesc = {1, 3, 1024, 1024}, {3145728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fc95c6c0000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1024 -W 1024 -k 3 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {3, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 3, 1024, 1024}, {3145728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }

 ```
 </details><br>


 <details>
 <summary>VAE decode 1536 px works (barely)</summary>

 ```
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {128, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fca8a000000
 MIOpen(HIP):    wDesc = {128, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95c5a0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fcaea000000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 1024 -W 1024 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    13.1433 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 13.1433
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fca8a000000
 MIOpen(HIP):    wDesc = {128, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95c5a0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fcaea000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 1024 -W 1024 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb705b46060
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fcb0a000000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7a0690000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fcaea000000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1024 -W 1024 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    6.2633  0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 6.2633
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fcb0a000000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7a0690000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fcaea000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1024 -W 1024 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68890ee80
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 1024 1024 }
 MIOpen(HIP):    stride.values = { 268435456 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 256 1 1 }
 MIOpen(HIP):    stride.values = { 256 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {128, 256, 1, 1}, {256, 1, 1, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fcb2a000000
 MIOpen(HIP):    wDesc = {128, 256, 1, 1}, {256, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7a07b0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fcb0a000000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 1024 -W 1024 -k 128 -y 1 -x 1 -p 0 -q 0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwd1x1_0_1 (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoGEMM        2.78934 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: GemmFwd1x1_0_1 , 0, 2.78934
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fcb2a000000
 MIOpen(HIP):    wDesc = {128, 256, 1, 1}, {256, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7a07b0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fcb0a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 1024 -W 1024 -k 128 -y 1 -x 1 -p 0 -q 0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 256, 1, 1}, {256, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 1024, 1024}, {268435456, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb6889704a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fcaea000000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7a0600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fcb0a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1024 -W 1024 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb705b422b0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fcaea000000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc790720000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fcb0a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1024 -W 1024 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb6889704a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fca8a000000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc790690000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fcb0a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1024 -W 1024 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb705b422b0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fca8a000000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc790600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fcb0a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1024 -W 1024 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb6889704a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1024 1024 }
 MIOpen(HIP):    stride.values = { 134217728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa920
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 3 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 3 1024 1024 }
 MIOpen(HIP):    stride.values = { 3145728 1048576 1024 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa980
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {3, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 3, 1024, 1024}, {3145728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fcb0a000000
 MIOpen(HIP):    wDesc = {3, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7907fc600
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 3, 1024, 1024}, {3145728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fc95c6c0000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1024 -W 1024 -k 3 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    1.43226 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 1.43226
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa6e8
 MIOpen(HIP):    xDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    x = 0x7fcb0a000000
 MIOpen(HIP):    wDesc = {3, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7907fc600
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa6f0
 MIOpen(HIP):    yDesc = {1, 3, 1024, 1024}, {3145728, 1048576, 1024, 1}, packed,
 MIOpen(HIP):    y = 0x7fc95c6c0000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1024 -W 1024 -k 3 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {3, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 3, 1024, 1024}, {3145728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1024, 1024}, {134217728, 1048576, 1024, 1}, packed,
 MIOpen(HIP): }
 Prompt executed in 60.96 seconds
 got prompt
 0 models unloaded.
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a95d6e0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 3 1536 1536 }
 MIOpen(HIP):    stride.values = { 7077888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fac00
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 3 3 3 }
 MIOpen(HIP):    stride.values = { 27 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fac60
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {128, 3, 3, 3}, {27, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 3, 1536, 1536}, {7077888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 254803968
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 3, 1536, 1536}, {7077888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7fc77d400000
 MIOpen(HIP):    wDesc = {128, 3, 3, 3}, {27, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7907f8e00
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7fc820800000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = 0x7fc960800000
 MIOpen(HIP):    workSpaceSize = 254803968
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 3 -H 1536 -W 1536 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 254803968
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [TryLoad] Find-db regenerating.
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwdRest (not searchable)
 MIOpen(HIP): Info [KernDb] database not present
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [KernDb] database not present
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [EvaluateInvokers] GemmFwdRest: : 4.53159 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] Selected: GemmFwdRest: : 4.53159, workspace_sz = 254803968
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 2.96672 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 2.27527 < 2.96672
 MIOpen(HIP): Info [EvaluateInvokers] Selected: ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 2.27527, workspace_sz = 0
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    2.27527 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 2.27527
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa9c8
 MIOpen(HIP):    xDesc = {1, 3, 1536, 1536}, {7077888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7fc77d400000
 MIOpen(HIP):    wDesc = {128, 3, 3, 3}, {27, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7907f8e00
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa9d0
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7fc820800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 3 -H 1536 -W 1536 -k 128 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 3, 3, 3}, {27, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 3, 1536, 1536}, {7077888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a8f6dd0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.054327 ms
 MIOpen(HIP): Info [GetWorkSpaceSize] 10871635968
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7fc868800000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7b7720000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7fc8b0800000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = 0x7fca7a000000
 MIOpen(HIP):    workSpaceSize = 10871635968
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1536 -W 1536 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 10871635968
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [TryLoad] Find-db regenerating.
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwdRest (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [KernDb] database not present
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [EvaluateInvokers] GemmFwdRest: : 124.589 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] Selected: GemmFwdRest: : 124.589, workspace_sz = 10871635968
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 19.6496 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 11.9198 < 19.6496
 MIOpen(HIP): Info [EvaluateInvokers] Selected: ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 11.9198, workspace_sz = 0
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    11.9198 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 11.9198
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7fc868800000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7b7720000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7fc8b0800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1536 -W 1536 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a8e2cc0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7fc868800000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7b7690000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7fc8b0800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1536 -W 1536 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a8f6dd0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7fc820800000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7b7600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7fc8b0800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1536 -W 1536 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a8e2cc0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7fc820800000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7a7700000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7fc8b0800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1536 -W 1536 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a95cb30
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1537 1537 }
 MIOpen(HIP):    stride.values = { 302383232 2362369 1537 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 768 768 }
 MIOpen(HIP):    stride.values = { 75497472 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 2 2 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 128, 1537, 1537}, {302383232, 2362369, 1537, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.068983 ms
 MIOpen(HIP): Info [GetWorkSpaceSize] 2717908992
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 128, 1537, 1537}, {302383232, 2362369, 1537, 1}, packed,
 MIOpen(HIP):    x = 0x7fca7a000000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc787f41a00
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7fc868800000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = 0x7fcac2200000
 MIOpen(HIP):    workSpaceSize = 2717908992
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1537 -W 1537 -k 128 -y 3 -x 3 -p 0 -q 0 -u 2 -v 2 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 2717908992
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [TryLoad] Find-db regenerating.
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwdRest (not searchable)
 MIOpen(HIP): Info [KernDb] database not present
 MIOpen(HIP): Info [KernDb] database not present
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [KernDb] database not present
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [EvaluateInvokers] GemmFwdRest: : 13.9478 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] Selected: GemmFwdRest: : 13.9478, workspace_sz = 2717908992
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride2: 5.86553 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride2: 13.1012 >= 5.86553
 MIOpen(HIP): Info [EvaluateInvokers] Selected: ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride2: 5.86553, workspace_sz = 0
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    5.86553 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf3x2 , 0, 5.86553
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 128, 1537, 1537}, {302383232, 2362369, 1537, 1}, packed,
 MIOpen(HIP):    x = 0x7fca7a000000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc787f41a00
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7fc868800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1537 -W 1537 -k 128 -y 3 -x 3 -p 0 -q 0 -u 2 -v 2 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1537, 1537}, {302383232, 2362369, 1537, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a8c8d80
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 768 768 }
 MIOpen(HIP):    stride.values = { 75497472 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {256, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.070521 ms
 MIOpen(HIP): Info [GetWorkSpaceSize] 2717908992
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7fc87a800000
 MIOpen(HIP):    wDesc = {256, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95c480000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7fc88c800000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = 0x7fcac2200000
 MIOpen(HIP):    workSpaceSize = 2717908992
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 768 -W 768 -k 256 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 2717908992
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [TryLoad] Find-db regenerating.
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwdRest (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [EvaluateInvokers] GemmFwdRest: : 19.6874 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] Selected: GemmFwdRest: : 19.6874, workspace_sz = 2717908992
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 11.0099 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 6.47121 < 11.0099
 MIOpen(HIP): Info [EvaluateInvokers] Selected: ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 6.47121, workspace_sz = 0
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    6.47121 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 6.47121
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7fc87a800000
 MIOpen(HIP):    wDesc = {256, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95c480000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7fc88c800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 768 -W 768 -k 256 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a8b79d0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.03916 ms
 MIOpen(HIP): Info [GetWorkSpaceSize] 5435817984
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7b8800000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95b3c0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7fc87a800000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = 0x7fca7a000000
 MIOpen(HIP):    workSpaceSize = 5435817984
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 768 -W 768 -k 256 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 5435817984
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [TryLoad] Find-db regenerating.
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwdRest (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [EvaluateInvokers] GemmFwdRest: : 39.4249 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] Selected: GemmFwdRest: : 39.4249, workspace_sz = 5435817984
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 21.1425 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 12.1743 < 21.1425
 MIOpen(HIP): Info [EvaluateInvokers] Selected: ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 12.1743, workspace_sz = 0
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    12.1743 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 12.1743
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7b8800000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95b3c0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7fc87a800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 768 -W 768 -k 256 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a8a6fc0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 768 768 }
 MIOpen(HIP):    stride.values = { 75497472 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 128 1 1 }
 MIOpen(HIP):    stride.values = { 128 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {256, 128, 1, 1}, {128, 1, 1, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.039402 ms
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7fc868800000
 MIOpen(HIP):    wDesc = {256, 128, 1, 1}, {128, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc787fd3c00
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7b8800000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 768 -W 768 -k 256 -y 1 -x 1 -p 0 -q 0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [TryLoad] Find-db regenerating.
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwd1x1_0_1 (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [EvaluateInvokers] GemmFwd1x1_0_1: : 1.72234 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] Selected: GemmFwd1x1_0_1: : 1.72234, workspace_sz = 0
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 2.99109 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 6.31472 >= 2.99109
 MIOpen(HIP): Info [EvaluateInvokers] Selected: ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 2.99109, workspace_sz = 0
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoGEMM        1.72234 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: GemmFwd1x1_0_1 , 0, 1.72234
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7fc868800000
 MIOpen(HIP):    wDesc = {256, 128, 1, 1}, {128, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc787fd3c00
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7b8800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 768 -W 768 -k 256 -y 1 -x 1 -p 0 -q0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 128, 1, 1}, {128, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a89a0d0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7b8800000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95b180000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7fc868800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 768 -W 768 -k 256 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a8a6c50
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7b8800000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95af40000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7fc868800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 768 -W 768 -k 256 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a89a700
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 769 769 }
 MIOpen(HIP):    stride.values = { 151388416 591361 769 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 384 384 }
 MIOpen(HIP):    stride.values = { 37748736 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 2 2 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 256, 769, 769}, {151388416, 591361, 769, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.038454 ms
 MIOpen(HIP): Info [GetWorkSpaceSize] 1358954496
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 256, 769, 769}, {151388416, 591361, 769, 1}, packed,
 MIOpen(HIP):    x = 0x7fc868800000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95ad00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7fc88c980400
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = 0x7fc8b0800000
 MIOpen(HIP):    workSpaceSize = 1358954496
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 769 -W 769 -k 256 -y 3 -x 3 -p 0 -q 0 -u 2 -v 2 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 1358954496
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [TryLoad] Find-db regenerating.
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwdRest (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [EvaluateInvokers] GemmFwdRest: : 10.7359 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] Selected: GemmFwdRest: : 10.7359, workspace_sz = 1358954496
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride2: 6.23539 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride2: 13.3995 >= 6.23539
 MIOpen(HIP): Info [EvaluateInvokers] Selected: ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride2: 6.23539, workspace_sz = 0
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    6.23539 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf3x2 , 0, 6.23539
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 256, 769, 769}, {151388416, 591361, 769, 1}, packed,
 MIOpen(HIP):    x = 0x7fc868800000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95ad00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7fc88c980400
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 769 -W 769 -k 256 -y 3 -x 3 -p 0 -q0 -u 2 -v 2 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 769, 769}, {151388416, 591361, 769, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a88a480
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 384 384 }
 MIOpen(HIP):    stride.values = { 37748736 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {512, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.038891 ms
 MIOpen(HIP): Info [GetWorkSpaceSize] 1358954496
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP):    x = 0x7fc895980400
 MIOpen(HIP):    wDesc = {512, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95a400000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7b8800000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = 0x7fc8b0800000
 MIOpen(HIP):    workSpaceSize = 1358954496
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 384 -W 384 -k 512 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 1358954496
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [TryLoad] Find-db regenerating.
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwdRest (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [EvaluateInvokers] GemmFwdRest: : 18.0517 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] Selected: GemmFwdRest: : 18.0517, workspace_sz = 1358954496
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 11.0149 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 6.22426 < 11.0149
 MIOpen(HIP): Info [EvaluateInvokers] Selected: ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 6.22426, workspace_sz = 0
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    6.22426 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 6.22426
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP):    x = 0x7fc895980400
 MIOpen(HIP):    wDesc = {512, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95a400000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7b8800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 384 -W 384 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a87a4c0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.040044 ms
 MIOpen(HIP): Info [GetWorkSpaceSize] 2717908992
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7ca800000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc94d200000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7b8800000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = 0x7fca7a000000
 MIOpen(HIP):    workSpaceSize = 2717908992
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 384 -W 384 -k 512 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 2717908992
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [TryLoad] Find-db regenerating.
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwdRest (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [EvaluateInvokers] GemmFwdRest: : 36.6709 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] Selected: GemmFwdRest: : 36.6709, workspace_sz = 2717908992
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 21.5024 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 12.5398 < 21.5024
 MIOpen(HIP): Info [EvaluateInvokers] Selected: ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 12.5398, workspace_sz = 0
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    12.5398 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 12.5398
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7ca800000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc94d200000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7b8800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 384 -W 384 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a869740
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 384 384 }
 MIOpen(HIP):    stride.values = { 37748736 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 256 1 1 }
 MIOpen(HIP):    stride.values = { 256 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {512, 256, 1, 1}, {256, 1, 1, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.041094 ms
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP):    x = 0x7fc88c980400
 MIOpen(HIP):    wDesc = {512, 256, 1, 1}, {256, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc78f600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7ca800000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 384 -W 384 -k 512 -y 1 -x 1 -p 0 -q 0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [TryLoad] Find-db regenerating.
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwd1x1_0_1 (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [EvaluateInvokers] GemmFwd1x1_0_1: : 1.59412 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] Selected: GemmFwd1x1_0_1: : 1.59412, workspace_sz = 0
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 2.7599 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 5.99271 >= 2.7599
 MIOpen(HIP): Info [EvaluateInvokers] Selected: ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 2.7599, workspace_sz = 0
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoGEMM        1.59412 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: GemmFwd1x1_0_1 , 0, 1.59412
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP):    x = 0x7fc88c980400
 MIOpen(HIP):    wDesc = {512, 256, 1, 1}, {256, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc78f600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7ca800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 384 -W 384 -k 512 -y 1 -x 1 -p 0 -q0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 256, 1, 1}, {256, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a85c7a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7b8800000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc94c900000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7ca800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 384 -W 384 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a869740
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7b8800000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc94c000000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7ca800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 384 -W 384 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a85d350
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 385 385 }
 MIOpen(HIP):    stride.values = { 75891200 148225 385 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 2 2 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 512, 385, 385}, {75891200, 148225, 385, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.039039 ms
 MIOpen(HIP): Info [GetWorkSpaceSize] 679477248
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 512, 385, 385}, {75891200, 148225, 385, 1}, packed,
 MIOpen(HIP):    x = 0x7fc868800000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc94b600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7ca800000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = 0x7fc87a980800
 MIOpen(HIP):    workSpaceSize = 679477248
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 385 -W 385 -k 512 -y 3 -x 3 -p 0 -q 0 -u 2 -v 2 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 679477248
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [TryLoad] Find-db regenerating.
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwdRest (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [EvaluateInvokers] GemmFwdRest: : 8.74634 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] Selected: GemmFwdRest: : 8.74634, workspace_sz = 679477248
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride2: 7.15828 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride2: 13.0561 >= 7.15828
 MIOpen(HIP): Info [EvaluateInvokers] Selected: ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride2: 7.15828, workspace_sz = 0
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    7.15828 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf3x2 , 0, 7.15828
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 512, 385, 385}, {75891200, 148225, 385, 1}, packed,
 MIOpen(HIP):    x = 0x7fc868800000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc94b600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7ca800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 385 -W 385 -k 512 -y 3 -x 3 -p 0 -q0 -u 2 -v 2 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 385, 385}, {75891200, 148225, 385, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a84cc00
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.043669 ms
 MIOpen(HIP): Info [GetWorkSpaceSize] 679477248
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7cf000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc94ad00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7d3800000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = 0x7fc868800000
 MIOpen(HIP):    workSpaceSize = 679477248
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 679477248
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [TryLoad] Find-db regenerating.
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwdRest (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [EvaluateInvokers] GemmFwdRest: : 8.28047 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] Selected: GemmFwdRest: : 8.28047, workspace_sz = 679477248
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 5.52016 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 3.07412 < 5.52016
 MIOpen(HIP): Info [EvaluateInvokers] Selected: ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 3.07412, workspace_sz = 0
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    3.07412 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 3.07412
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7cf000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc94ad00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7d3800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a83dcc0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7cf000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc94a400000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7d3800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a84cc00
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7d3800000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc949a00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7d8000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a83dcc0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7d3800000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc949100000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7d8000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a84cc00
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7d8000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc948800000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7b8800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a83dcc0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7d8000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc946e00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7b8800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a84cc00
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 1 1 }
 MIOpen(HIP):    stride.values = { 512 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.041042 ms
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7b8800000
 MIOpen(HIP):    wDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fca79e00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7bd000000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 1 -x 1 -p 0 -q 0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [TryLoad] Find-db regenerating.
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwd1x1_0_1 (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [EvaluateInvokers] GemmFwd1x1_0_1: : 0.807003 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] Selected: GemmFwd1x1_0_1: : 0.807003, workspace_sz = 0
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 1.4021 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 3.26168 >= 1.4021
 MIOpen(HIP): Info [EvaluateInvokers] Selected: ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 1.4021, workspace_sz = 0
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoGEMM        0.807003        0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: GemmFwd1x1_0_1 , 0, 0.807003
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7b8800000
 MIOpen(HIP):    wDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fca79e00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7bd000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 1 -x 1 -p 0 -q0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a830d20
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 1 1 }
 MIOpen(HIP):    stride.values = { 512 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7b8800000
 MIOpen(HIP):    wDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc790000000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7c1800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 1 -x 1 -p 0 -q0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a82fca0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 1 1 }
 MIOpen(HIP):    stride.values = { 512 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7b8800000
 MIOpen(HIP):    wDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc787e3da00
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7c6000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 1 -x 1 -p 0 -q0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a82afa0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 1 1 }
 MIOpen(HIP):    stride.values = { 512 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7ca800000
 MIOpen(HIP):    wDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fca79f00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7b8800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 1 -x 1 -p 0 -q0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a8299a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7cf000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc946500000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7d3800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a82afa0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa0e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7cf000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc945c00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa0f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7d3800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a8299a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fac00
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 32 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 32 192 192 }
 MIOpen(HIP):    stride.values = { 1179648 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fac60
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {32, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 32, 192, 192}, {1179648, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.043416 ms
 MIOpen(HIP): Info [GetWorkSpaceSize] 679477248
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7b8800000
 MIOpen(HIP):    wDesc = {32, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7a0720000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 32, 192, 192}, {1179648, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc95c6c0000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = 0x7fca7a000000
 MIOpen(HIP):    workSpaceSize = 679477248
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 32 -y 3 -x 3 -p 1-q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 679477248
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [TryLoad] Find-db regenerating.
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwdRest (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [EvaluateInvokers] GemmFwdRest: : 2.03961 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] Selected: GemmFwdRest: : 2.03961, workspace_sz = 679477248
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 0.42322 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 0.182296 < 0.42322
 MIOpen(HIP): Info [EvaluateInvokers] Selected: ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 0.182296, workspace_sz = 0
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    0.182296        0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 0.182296
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa9c8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7b8800000
 MIOpen(HIP):    wDesc = {32, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7a0720000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa9d0
 MIOpen(HIP):    yDesc = {1, 32, 192, 192}, {1179648, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc95c6c0000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 32 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {32, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 32, 192, 192}, {1179648, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 0 models unloaded.
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a816b20
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 16 192 192 }
 MIOpen(HIP):    stride.values = { 589824 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa920
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 16 3 3 }
 MIOpen(HIP):    stride.values = { 144 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa980
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {512, 16, 3, 3}, {144, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 16, 192, 192}, {589824, 36864, 192, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.054983 ms
 MIOpen(HIP): Info [GetWorkSpaceSize] 21233664
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 16, 192, 192}, {589824, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc95c6c0000
 MIOpen(HIP):    wDesc = {512, 16, 3, 3}, {144, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7907b0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7b8800000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = 0x7fca37c00000
 MIOpen(HIP):    workSpaceSize = 21233664
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 16 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1-q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 21233664
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [TryLoad] Find-db regenerating.
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwdRest (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [EvaluateInvokers] GemmFwdRest: : 0.530672 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] Selected: GemmFwdRest: : 0.530672, workspace_sz = 21233664
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 0.352528 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 0.196943 < 0.352528
 MIOpen(HIP): Info [EvaluateInvokers] Selected: ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 0.196943, workspace_sz = 0
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    0.196943        0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 0.196943
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa6e8
 MIOpen(HIP):    xDesc = {1, 16, 192, 192}, {589824, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc95c6c0000
 MIOpen(HIP):    wDesc = {512, 16, 3, 3}, {144, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7907b0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa6f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7b8800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 16 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 16, 3, 3}, {144, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 16, 192, 192}, {589824, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a805140
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7bd000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc959a00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7c1800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a816b20
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7bd000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc959100000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7c1800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a805140
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 1 1 }
 MIOpen(HIP):    stride.values = { 512 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7b8800000
 MIOpen(HIP):    wDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc797600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7c1800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 1 -x 1 -p 0 -q0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a803ca0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 1 1 }
 MIOpen(HIP):    stride.values = { 512 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7b8800000
 MIOpen(HIP):    wDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7a7600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7c6000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 1 -x 1 -p 0 -q0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a802c20
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 1 1 }
 MIOpen(HIP):    stride.values = { 512 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7b8800000
 MIOpen(HIP):    wDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc790100000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7ca800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 1 -x 1 -p 0 -q0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a800860
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 1 1 }
 MIOpen(HIP):    stride.values = { 512 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7cf000000
 MIOpen(HIP):    wDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc797700000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7b8800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 1 -x 1 -p 0 -q0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7ff520
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7d3800000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc958800000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7d8000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a800860
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7d3800000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc956e00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7d8000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7ff520
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7d8000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc952400000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7b8800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a800860
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7d8000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc951a00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7b8800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7ff520
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7b8800000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc951100000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7bd000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a800860
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7b8800000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc950800000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7bd000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7ff520
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7bd000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc94ee00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7c1800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a800860
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7bd000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc94e500000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7c1800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7ff520
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7c1800000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc94dc00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7fca7a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 384 -W 384 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a800860
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7b8800000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc956500000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7ca800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 384 -W 384 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7ff520
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7b8800000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc955c00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7ca800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 384 -W 384 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a800860
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7ca800000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc955200000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7fca7a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 384 -W 384 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7ff520
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7ca800000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc954900000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7fca7a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 384 -W 384 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a800860
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7b8800000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc954000000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7fca7a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 384 -W 384 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7ff520
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7b8800000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc953600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7fca7a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 384 -W 384 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a800860
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 768 768 }
 MIOpen(HIP):    stride.values = { 301989888 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 768 768 }
 MIOpen(HIP):    stride.values = { 301989888 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 512, 768, 768}, {301989888, 589824, 768, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 768, 768}, {301989888, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.041483 ms
 MIOpen(HIP): Info [GetWorkSpaceSize] 10871635968
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 512, 768, 768}, {301989888, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7fca7a000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc952d00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 768, 768}, {301989888, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7fcac2000000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = 0x7fcd02000000
 MIOpen(HIP):    workSpaceSize = 10871635968
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 768 -W 768 -k 512 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 10871635968
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [TryLoad] Find-db regenerating.
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwdRest (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [EvaluateInvokers] GemmFwdRest: : 136.516 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] Selected: GemmFwdRest: : 136.516, workspace_sz = 10871635968
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 87.7526 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 50.9208 < 87.7526
 MIOpen(HIP): Info [EvaluateInvokers] Selected: ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 50.9208, workspace_sz = 0
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    50.9208 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 50.9208
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 768, 768}, {301989888, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7fca7a000000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc952d00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 512, 768, 768}, {301989888, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7fcac2000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 768 -W 768 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 768, 768}, {301989888, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 768, 768}, {301989888, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7ee640
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 768 768 }
 MIOpen(HIP):    stride.values = { 301989888 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {256, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 512, 768, 768}, {301989888, 589824, 768, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.052536 ms
 MIOpen(HIP): Info [GetWorkSpaceSize] 10871635968
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 512, 768, 768}, {301989888, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7fca7a000000
 MIOpen(HIP):    wDesc = {256, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95a880000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7b8800000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = 0x7fcbbe000000
 MIOpen(HIP):    workSpaceSize = 10871635968
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 768 -W 768 -k 256 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 10871635968
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [TryLoad] Find-db regenerating.
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwdRest (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [EvaluateInvokers] GemmFwdRest: : 82.4215 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] Selected: GemmFwdRest: : 82.4215, workspace_sz = 10871635968
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 45.4787 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 25.8866 < 45.4787
 MIOpen(HIP): Info [EvaluateInvokers] Selected: ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 25.8866, workspace_sz = 0
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    25.8866 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 25.8866
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 768, 768}, {301989888, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7fca7a000000
 MIOpen(HIP):    wDesc = {256, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95a880000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7b8800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 768 -W 768 -k 256 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 768, 768}, {301989888, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7dd8c0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7fca7a000000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95c240000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7fc7b8800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 768 -W 768 -k 256 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7ee640
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 768 768 }
 MIOpen(HIP):    stride.values = { 301989888 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 512 1 1 }
 MIOpen(HIP):    stride.values = { 512 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {256, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 512, 768, 768}, {301989888, 589824, 768, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.047084 ms
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 512, 768, 768}, {301989888, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7fcac2000000
 MIOpen(HIP):    wDesc = {256, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc78f680000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7fca7a000000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 768 -W 768 -k 256 -y 1 -x 1 -p 0 -q 0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [TryLoad] Find-db regenerating.
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwd1x1_0_1 (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [EvaluateInvokers] GemmFwd1x1_0_1: : 6.61218 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] Selected: GemmFwd1x1_0_1: : 6.61218, workspace_sz = 0
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 11.6935 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 25.7458 >= 11.6935
 MIOpen(HIP): Info [EvaluateInvokers] Selected: ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 11.6935, workspace_sz = 0
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoGEMM        6.61218 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: GemmFwd1x1_0_1 , 0, 6.61218
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 512, 768, 768}, {301989888, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7fcac2000000
 MIOpen(HIP):    wDesc = {256, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc78f680000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7fca7a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 768 -W 768 -k 256 -y 1 -x 1 -p 0 -q0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 768, 768}, {301989888, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7d0920
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7b8800000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95c000000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7fca7a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 768 -W 768 -k 256 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7ee640
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7fc7b8800000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95bcc0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7fca7a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 768 -W 768 -k 256 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7d0920
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7fca7a000000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95ba80000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7fca9e000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 768 -W 768 -k 256 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7ee640
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7fca7a000000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95b840000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7fca9e000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 768 -W 768 -k 256 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7d0920
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 1536 1536 }
 MIOpen(HIP):    stride.values = { 603979776 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 1536 1536 }
 MIOpen(HIP):    stride.values = { 603979776 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 256, 1536, 1536}, {603979776, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 1536, 1536}, {603979776, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.043636 ms
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 256, 1536, 1536}, {603979776, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7fca9e000000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95b600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 1536, 1536}, {603979776, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7fcb2e000000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 1536 -W 1536 -k 256 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [TryLoad] Find-db regenerating.
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 91.7026 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 51.893 < 91.7026
 MIOpen(HIP): Info [EvaluateInvokers] Selected: ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 51.893, workspace_sz = 0
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    51.893  0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 51.893
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 256, 1536, 1536}, {603979776, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7fca9e000000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95b600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 256, 1536, 1536}, {603979776, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7fcb2e000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 1536 -W 1536 -k 256 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 1536, 1536}, {603979776, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 1536, 1536}, {603979776, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7ce090
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 1536 1536 }
 MIOpen(HIP):    stride.values = { 603979776 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {128, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 256, 1536, 1536}, {603979776, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.051313 ms
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 256, 1536, 1536}, {603979776, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7fca7a000000
 MIOpen(HIP):    wDesc = {128, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95c5a0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7fc960800000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 1536 -W 1536 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [TryLoad] Find-db regenerating.
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 46.7374 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 26.9719 < 46.7374
 MIOpen(HIP): Info [EvaluateInvokers] Selected: ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 26.9719, workspace_sz = 0
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    26.9719 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 26.9719
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 256, 1536, 1536}, {603979776, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7fca7a000000
 MIOpen(HIP):    wDesc = {128, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc95c5a0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7fc960800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 1536 -W 1536 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 1536, 1536}, {603979776, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7caf10
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7fca7a000000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7a0690000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7fc960800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1536 -W 1536 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7ce090
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 1536 1536 }
 MIOpen(HIP):    stride.values = { 603979776 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 256 1 1 }
 MIOpen(HIP):    stride.values = { 256 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {128, 256, 1, 1}, {256, 1, 1, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 256, 1536, 1536}, {603979776, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.048054 ms
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 256, 1536, 1536}, {603979776, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7fcb2e000000
 MIOpen(HIP):    wDesc = {128, 256, 1, 1}, {256, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7a07b0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7fca7a000000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 1536 -W 1536 -k 128 -y 1 -x 1 -p 0 -q 0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [TryLoad] Find-db regenerating.
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwd1x1_0_1 (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [EvaluateInvokers] GemmFwd1x1_0_1: : 23.171 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] Selected: GemmFwd1x1_0_1: : 23.171, workspace_sz = 0
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 11.7923 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 24.9992 >= 11.7923
 MIOpen(HIP): Info [EvaluateInvokers] Selected: ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 11.7923, workspace_sz = 0
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    11.7923 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf3x2 , 0, 11.7923
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 256, 1536, 1536}, {603979776, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7fcb2e000000
 MIOpen(HIP):    wDesc = {128, 256, 1, 1}, {256, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7a07b0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7fca7a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 1536 -W 1536 -k 128 -y 1 -x 1 -p 0 -q 0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 256, 1, 1}, {256, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 1536, 1536}, {603979776, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7be700
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7fc960800000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7a0600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7fca7a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1536 -W 1536 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7ce090
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7fc960800000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc790720000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7fca7a000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1536 -W 1536 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7be700
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7fca7a000000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc790690000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7fcac2000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1536 -W 1536 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7ce090
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa0a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177f9e08
 MIOpen(HIP):    xDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7fca7a000000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc790600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177f9e10
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7fcac2000000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1536 -W 1536 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb68a7be700
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fb7177fa920
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 3 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7fe1a9fe00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 3 1536 1536 }
 MIOpen(HIP):    stride.values = { 7077888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7fb7177fa980
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {3, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 3, 1536, 1536}, {7077888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.04563 ms
 MIOpen(HIP): Info [GetWorkSpaceSize] 10871635968
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7fcac2000000
 MIOpen(HIP):    wDesc = {3, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7907fc600
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 3, 1536, 1536}, {7077888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7fc960800000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32695
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = 0x7fcbbe000000
 MIOpen(HIP):    workSpaceSize = 10871635968
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1536 -W 1536 -k 3 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 10871635968
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [TryLoad] Find-db regenerating.
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwdRest (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): auto miopen::solver::conv::GemmFwdRest::GetSolution(const ExecutionContext &, const ProblemDescription&)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, constAnyInvokeParams &) const{
 MIOpen(HIP):    name + ", non 1x1" = convolution, non 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [EvaluateInvokers] GemmFwdRest: : 39.4315 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] Selected: GemmFwdRest: : 39.4315, workspace_sz = 10871635968
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf3x2: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f3x2_stride1: 4.95778 < 3.40282e+38
 MIOpen(HIP): Info [EvaluateInvokers] ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 3.12238 < 4.95778
 MIOpen(HIP): Info [EvaluateInvokers] Selected: ConvBinWinogradRxSf2x3g1: miopenSp3AsmConv_v30_3_1_gfx11_fp32_f2x3_stride1: 3.12238, workspace_sz = 0
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    3.12238 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 3.12238
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7fb7177fa6e8
 MIOpen(HIP):    xDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7fcac2000000
 MIOpen(HIP):    wDesc = {3, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7fc7907fc600
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7fb7177fa6f0
 MIOpen(HIP):    yDesc = {1, 3, 1536, 1536}, {7077888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7fc960800000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1536 -W 1536 -k 3 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {3, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 3, 1536, 1536}, {7077888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 Prompt executed in 58.07 seconds

 ```

 </details><br>


 ```
 #!/bin/bash
 cd
 cd ComfyUI
 #activate UV virtual environment
 source Dreamy/bin/activate

 #Set ROCm FLAGS

 #??? something to do with acceleration to use
 #export MIOPEN_FIND_MODE=2

 #export MIOPEN_DEBUG_CONV_DIRECT_NAIVE_CONV_FWD=0

 export MIOPEN_LOG_LEVEL=5
 export MIOPEN_ENABLE_LOGGING=1
 export MIOPEN_ENABLE_LOGGING_CMD=1

 #Run ComfyUI
 python main.py
 ```


 <details>
 <summary>VAE decode 1536 px works a lot better</summary>

 ```
 got prompt
 Using split attention in VAE
 Using split attention in VAE
 VAE load device: cuda:0, offload device: cpu, dtype: torch.float32
 Requested to load AutoencodingEngine
 loaded completely 8610.371875 319.7467155456543 True
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [Handle] stream: 0, device_id: 0
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a2e06a540
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 3 1536 1536 }
 MIOpen(HIP):    stride.values = { 7077888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8c00
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 3 3 3 }
 MIOpen(HIP):    stride.values = { 27 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8c60
 MIOpen(HIP): }
 MIOpen(HIP): Info [] MIOPEN_FIND_MODE = DYNAMIC_HYBRID(5)
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {128, 3, 3, 3}, {27, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 3, 1536, 1536}, {7077888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [AmdRocmMetadataVersionDetect] ROCm MD version AMDHSA_COv3, HIP version 6.3.42134, MIOpen version3.3.0.d22d5a13f-dirty
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [IsNetworkedFilesystem] Filesystem type at '"/home/meridia/.config/miopen/"' is: 0xef53 'EXT2/3/4_SUPER_MAGIC'
 MIOpen(HIP): Info [Measure] ReadonlyRamDb::Prefetch time: 4.7e-05 ms
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.05749 ms
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 3, 1536, 1536}, {7077888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7f3ad5200000
 MIOpen(HIP):    wDesc = {128, 3, 3, 3}, {27, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3acb3fa800
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7f3adb600000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32554
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 3 -H 1536 -W 1536 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [Prefetch] File is unreadable: "/home/meridia/.config/miopen/gfx1100_48.HIP.3_3_0_d22d5a13f-dirty.udb.txt"
 MIOpen(HIP): Info [Measure] RamDb::Prefetch time: 0.013282 ms
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [IsNetworkedFilesystem] Filesystem type at '"/home/meridia/.cache/miopen/3.3.0.d22d5a13f-dirty"' is: 0xef53 'EXT2/3/4_SUPER_MAGIC'
 MIOpen(HIP): Info [KernDb] database not present
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    2.27527 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 2.27527
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f89c8
 MIOpen(HIP):    xDesc = {1, 3, 1536, 1536}, {7077888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7f3ad5200000
 MIOpen(HIP):    wDesc = {128, 3, 3, 3}, {27, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3acb3fa800
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f89d0
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7f3adb600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 3 -H 1536 -W 1536 -k 128 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 3, 3, 3}, {27, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 3, 1536, 1536}, {7077888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a2cbf2360
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7f3b23600000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3acb320000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7f3b6b600000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32554
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1536 -W 1536 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    11.9198 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 11.9198
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7f3b23600000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3acb320000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7f3b6b600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1536 -W 1536 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a2cc03950
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7f3b23600000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3acb290000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7f3b6b600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1536 -W 1536 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a2cbf2360
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7f3adb600000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3acb200000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7f3b6b600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1536 -W 1536 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a2cc03950
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1536 1536 }
 MIOpen(HIP):    stride.values = { 301989888 2359296 1536 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    x = 0x7f3adb600000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3acb100000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP):    y = 0x7f3b6b600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1536 -W 1536 -k 128 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1536, 1536}, {301989888, 2359296, 1536, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a480956b0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 1537 1537 }
 MIOpen(HIP):    stride.values = { 302383232 2362369 1537 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 128 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 768 768 }
 MIOpen(HIP):    stride.values = { 75497472 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 2 2 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 128, 1537, 1537}, {302383232, 2362369, 1537, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 128, 1537, 1537}, {302383232, 2362369, 1537, 1}, packed,
 MIOpen(HIP):    x = 0x7f3bb3600000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3abcd16a00
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7f3b23600000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32554
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1537 -W 1537 -k 128 -y 3 -x 3 -p 0 -q 0 -u 2 -v 2 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [KernDb] database not present
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    5.86553 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf3x2 , 0, 5.86553
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 128, 1537, 1537}, {302383232, 2362369, 1537, 1}, packed,
 MIOpen(HIP):    x = 0x7f3bb3600000
 MIOpen(HIP):    wDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3abcd16a00
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7f3b23600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 1537 -W 1537 -k 128 -y 3 -x 3 -p 0 -q 0 -u 2 -v 2 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {128, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 1537, 1537}, {302383232, 2362369, 1537, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a48094f40
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 768 768 }
 MIOpen(HIP):    stride.values = { 75497472 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 128 3 3 }
 MIOpen(HIP):    stride.values = { 1152 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {256, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7f3b35600000
 MIOpen(HIP):    wDesc = {256, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3abc800000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7f3b47600000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32554
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 768 -W 768 -k 256 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    6.47121 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 6.47121
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7f3b35600000
 MIOpen(HIP):    wDesc = {256, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3abc800000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7f3b47600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 768 -W 768 -k 256 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 128, 3, 3}, {1152, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a480950c0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7f3adb600000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3ad01c0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7f3b35600000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32554
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 768 -W 768 -k 256 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    12.1743 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 12.1743
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7f3adb600000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3ad01c0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7f3b35600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 768 -W 768 -k 256 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a48090340
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 128 768 768 }
 MIOpen(HIP):    stride.values = { 75497472 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 128 1 1 }
 MIOpen(HIP):    stride.values = { 128 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {256, 128, 1, 1}, {128, 1, 1, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7f3b23600000
 MIOpen(HIP):    wDesc = {256, 128, 1, 1}, {128, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7f3acb5b0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7f3adb600000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32554
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 768 -W 768 -k 256 -y 1 -x 1 -p 0 -q 0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwd1x1_0_1 (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoGEMM        1.72234 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: GemmFwd1x1_0_1 , 0, 1.72234
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7f3b23600000
 MIOpen(HIP):    wDesc = {256, 128, 1, 1}, {128, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7f3acb5b0000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7f3adb600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 128 -H 768 -W 768 -k 256 -y 1 -x 1 -p 0 -q0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 128, 1, 1}, {128, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 128, 768, 768}, {75497472, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a45ce7260
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7f3adb600000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3acff80000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7f3b23600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 768 -W 768 -k 256 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a480b0d90
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 768 768 }
 MIOpen(HIP):    stride.values = { 150994944 589824 768 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    x = 0x7f3adb600000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3acfd40000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP):    y = 0x7f3b23600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 768 -W 768 -k 256 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 768, 768}, {150994944, 589824, 768, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a45cf72a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 769 769 }
 MIOpen(HIP):    stride.values = { 151388416 591361 769 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 256 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 384 384 }
 MIOpen(HIP):    stride.values = { 37748736 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 2 2 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 256, 769, 769}, {151388416, 591361, 769, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 256, 769, 769}, {151388416, 591361, 769, 1}, packed,
 MIOpen(HIP):    x = 0x7f3b23600000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3acfb00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7f3b47780400
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32554
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 769 -W 769 -k 256 -y 3 -x 3 -p 0 -q 0 -u 2 -v 2 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    6.23539 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf3x2 , 0, 6.23539
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 256, 769, 769}, {151388416, 591361, 769, 1}, packed,
 MIOpen(HIP):    x = 0x7f3b23600000
 MIOpen(HIP):    wDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3acfb00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7f3b47780400
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 769 -W 769 -k 256 -y 3 -x 3 -p 0 -q0 -u 2 -v 2 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {256, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 769, 769}, {151388416, 591361, 769, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a45dd7630
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 384 384 }
 MIOpen(HIP):    stride.values = { 37748736 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 256 3 3 }
 MIOpen(HIP):    stride.values = { 2304 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {512, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP):    x = 0x7f3b50780400
 MIOpen(HIP):    wDesc = {512, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3acf200000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7f3adb600000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32554
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 384 -W 384 -k 512 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    6.22426 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 6.22426
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP):    x = 0x7f3b50780400
 MIOpen(HIP):    wDesc = {512, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3acf200000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7f3adb600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 384 -W 384 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 256, 3, 3}, {2304, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a48090500
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    x = 0x7f3aed600000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3ac2700000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7f3adb600000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32554
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 384 -W 384 -k 512 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    12.5398 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 12.5398
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    x = 0x7f3aed600000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3ac2700000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7f3adb600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 384 -W 384 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a48094c80
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 256 384 384 }
 MIOpen(HIP):    stride.values = { 37748736 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 256 1 1 }
 MIOpen(HIP):    stride.values = { 256 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {512, 256, 1, 1}, {256, 1, 1, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP):    x = 0x7f3b47780400
 MIOpen(HIP):    wDesc = {512, 256, 1, 1}, {256, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7f3ad1c00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7f3aed600000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32554
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 384 -W 384 -k 512 -y 1 -x 1 -p 0 -q 0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwd1x1_0_1 (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoGEMM        1.59412 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: GemmFwd1x1_0_1 , 0, 1.59412
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP):    x = 0x7f3b47780400
 MIOpen(HIP):    wDesc = {512, 256, 1, 1}, {256, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7f3ad1c00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7f3aed600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 256 -H 384 -W 384 -k 512 -y 1 -x 1 -p 0 -q0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 256, 1, 1}, {256, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 256, 384, 384}, {37748736, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a2bf68690
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    x = 0x7f3adb600000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3ac1e00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7f3aed600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 384 -W 384 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a48094c80
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 384 384 }
 MIOpen(HIP):    stride.values = { 75497472 147456 384 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    x = 0x7f3adb600000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3ac1300000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP):    y = 0x7f3aed600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 384 -W 384 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 384, 384}, {75497472, 147456, 384, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a48090520
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 385 385 }
 MIOpen(HIP):    stride.values = { 75891200 148225 385 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 2 2 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 512, 385, 385}, {75891200, 148225, 385, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 512, 385, 385}, {75891200, 148225, 385, 1}, packed,
 MIOpen(HIP):    x = 0x7f3b23600000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3ac0a00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7f3aed600000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32554
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 385 -W 385 -k 512 -y 3 -x 3 -p 0 -q 0 -u 2 -v 2 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [FindSolutionImpl] Perf Db: record not found for: ConvBinWinogradRxSf3x2
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    7.15828 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf3x2 , 0, 7.15828
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 512, 385, 385}, {75891200, 148225, 385, 1}, packed,
 MIOpen(HIP):    x = 0x7f3b23600000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3ac0a00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7f3aed600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 385 -W 385 -k 512 -y 3 -x 3 -p 0 -q0 -u 2 -v 2 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {2, 2}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 385, 385}, {75891200, 148225, 385, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a45cf7320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7f3af1e00000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3abff00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7f3af6600000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32554
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    3.07412 0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 3.07412
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7f3af1e00000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3abff00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7f3af6600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a48092e10
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7f3af1e00000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3abf600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7f3af6600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a45cf7320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7f3af6600000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3abeb00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7f3afae00000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a48092e10
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7f3af6600000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3abe200000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7f3afae00000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a45cf7320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7f3afae00000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3abd700000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7f3adb600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a48092e10
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7f3afae00000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3abce00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7f3adb600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a45cf7320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 1 1 }
 MIOpen(HIP):    stride.values = { 512 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7f3adb600000
 MIOpen(HIP):    wDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7f3ac3200000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7f3adfe00000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32554
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 1 -x 1 -p 0 -q 0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] GemmFwd1x1_0_1 (not searchable)
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoGEMM        0.807003        0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: GemmFwd1x1_0_1 , 0, 0.807003
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7f3adb600000
 MIOpen(HIP):    wDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7f3ac3200000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7f3adfe00000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 1 -x 1 -p 0 -q0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a2bf67320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 1 1 }
 MIOpen(HIP):    stride.values = { 512 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7f3adb600000
 MIOpen(HIP):    wDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7f3ac3400000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7f3ae4600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 1 -x 1 -p 0 -q0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a2d3ff150
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 1 1 }
 MIOpen(HIP):    stride.values = { 512 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7f3adb600000
 MIOpen(HIP):    wDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7f3abcc12a00
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7f3ae8e00000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 1 -x 1 -p 0 -q0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a439c1bc0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 1 1 }
 MIOpen(HIP):    stride.values = { 512 1 1 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 0 0 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7f3aed600000
 MIOpen(HIP):    wDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP):    w = 0x7f3ac3300000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 0
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7f3adb600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 1 -x 1 -p 0 -q0 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 0, workspace = 0
 MIOpen(HIP): auto miopen::solver::conv::GemmFwd1x1_0_1::GetSolution(const ExecutionContext &, const ProblemDescription &)::(anonymous class)::operator()(const std::vector<Kernel> &)::(anonymous class)::operator()(const Handle &, const AnyInvokeParams &) const{
 MIOpen(HIP):    "convolution, 1x1" = convolution, 1x1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 1, 1}, {512, 1, 1, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a45dd5400
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7f3af3e00000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3abbf00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7f3af8600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a439c1bc0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8320
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8380
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f80e8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7f3af3e00000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3abb600000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f80f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7f3af8600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a41d0a280
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8c00
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 32 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 32 192 192 }
 MIOpen(HIP):    stride.values = { 1179648 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8c60
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {32, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 32, 192, 192}, {1179648, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7f3adb600000
 MIOpen(HIP):    wDesc = {32, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3ad1b20000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 32, 192, 192}, {1179648, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7f3ad1380000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32554
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 32 -y 3 -x 3 -p 1-q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    0.182296        0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 0.182296
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f89c8
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7f3adb600000
 MIOpen(HIP):    wDesc = {32, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3ad1b20000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f89d0
 MIOpen(HIP):    yDesc = {1, 32, 192, 192}, {1179648, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7f3ad1380000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 32 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {32, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 32, 192, 192}, {1179648, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a414394b0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 16 192 192 }
 MIOpen(HIP):    stride.values = { 589824 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8920
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 16 3 3 }
 MIOpen(HIP):    stride.values = { 144 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f8980
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForwardGetWorkSpaceSize(miopenHandle_t, const miopenTensorDescriptor_t, const miopenTensorDescriptor_t, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, size_t *){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    wDesc = {512, 16, 3, 3}, {144, 9, 3, 1}, packed,
 MIOpen(HIP):    xDesc = {1, 16, 192, 192}, {589824, 36864, 192, 1}, packed,
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [GetWorkSpaceSize] 0
 MIOpen(HIP): miopenStatus_t miopenFindConvolutionForwardAlgorithm(miopenHandle_t, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, const miopenTensorDescriptor_t, void *, const int, int *, miopenConvAlgoPerf_t *, void *, size_t, bool){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    xDesc = {1, 16, 192, 192}, {589824, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7f3ad1380000
 MIOpen(HIP):    wDesc = {512, 16, 3, 3}, {144, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3acb3b1a00
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7f3af3e00000
 MIOpen(HIP):    requestAlgoCount = 1
 MIOpen(HIP):    returnedAlgoCount = 32554
 MIOpen(HIP):    perfResults =
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP):    exhaustiveSearch = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdFindConvolution] ./bin/MIOpenDriver conv -n 1 -c 16 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1-q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [FindConvFwdAlgorithm] requestAlgoCount = 1, workspace = 0
 MIOpen(HIP): Info [GetSolutions]
 MIOpen(HIP): Info [FindSolutionImpl] ConvBinWinogradRxSf2x3g1 (not searchable)
 MIOpen(HIP): Info [GetDefaultPerformanceConfig] 96
 MIOpen(HIP): Info [FindConvolution] miopenConvolutionFwdAlgoWinograd    0.196943        0
 MIOpen(HIP): Info [FillFindReturnParameters] FW Chosen Algorithm: ConvBinWinogradRxSf2x3g1 , 0, 0.196943
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f86e8
 MIOpen(HIP):    xDesc = {1, 16, 192, 192}, {589824, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7f3ad1380000
 MIOpen(HIP):    wDesc = {512, 16, 3, 3}, {144, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3acb3b1a00
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f86f0
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7f3af3e00000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 16 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q 1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 16, 3, 3}, {144, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 16, 192, 192}, {589824, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a41437f50
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f80a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f7e08
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7f3af8600000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3ace700000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f7e10
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7f3adb600000
 MIOpen(HIP):    workSpace = nullptr
 MIOpen(HIP):    workSpaceSize = 0
 MIOpen(HIP): }
 MIOpen(HIP): Command [LogCmdConvolution] ./bin/MIOpenDriver conv -n 1 -c 512 -H 192 -W 192 -k 512 -y 3 -x 3 -p 1 -q1 -u 1 -v 1 -l 1 -j 1 -m conv -g 1 -F 1 -t 1
 MIOpen(HIP): Info [ConvolutionForward] algo = 3, workspace = 0
 MIOpen(HIP): miopenStatus_t miopenDestroyConvolutionDescriptor(miopenConvolutionDescriptor_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenDestroyTensorDescriptor(miopenTensorDescriptor_t){
 MIOpen(HIP):    tensorDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP): }
 MIOpen(HIP): Info [get_device_name] Raw device name: gfx1100
 MIOpen(HIP): Info [SetStream] stream: 0, device_id: 0
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a416e6500
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f2a627f8040
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 512 512 3 3 }
 MIOpen(HIP):    stride.values = { 4608 9 3 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateTensorDescriptor(miopenTensorDescriptor_t *){
 MIOpen(HIP):    tensorDesc = 0x7f54ecde00dc
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetTensorDescriptor(miopenTensorDescriptor_t, miopenDataType_t, int, const int *,const int *){
 MIOpen(HIP):    tensorDesc = {}, {}, packed,
 MIOpen(HIP):    dataType = 1
 MIOpen(HIP):    nbDims = 4
 MIOpen(HIP):    dim.values = { 1 512 192 192 }
 MIOpen(HIP):    stride.values = { 18874368 36864 192 1 }
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenCreateConvolutionDescriptor(miopenConvolutionDescriptor_t *){
 MIOpen(HIP):    convDesc = 0x7f2a627f80a0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenInitConvolutionNdDescriptor(miopenConvolutionDescriptor_t, int, const int *, const int *, const int *, miopenConvolutionMode_t){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {0, 0}, {1, 1}, {1, 1},
 MIOpen(HIP):    spatialDim = 2
 MIOpen(HIP):    pads = { 1 1 }
 MIOpen(HIP):    strides = { 1 1 }
 MIOpen(HIP):    dilations = { 1 1 }
 MIOpen(HIP):    c_mode = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionGroupCount(miopenConvolutionDescriptor_t, int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    groupCount = 1
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenSetConvolutionAttribute(miopenConvolutionDescriptor_t, const miopenConvolutionAttrib_t, const int){
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    attr = 1
 MIOpen(HIP):    value = 0
 MIOpen(HIP): }
 MIOpen(HIP): miopenStatus_t miopenConvolutionForward(miopenHandle_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenTensorDescriptor_t, const void *, const miopenConvolutionDescriptor_t, miopenConvFwdAlgorithm_t, const void *, const miopenTensorDescriptor_t, void *, void *, size_t){
 MIOpen(HIP):    handle = stream: 0, device_id: 0
 MIOpen(HIP):    alpha = 0x7f2a627f7e08
 MIOpen(HIP):    xDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    x = 0x7f3af8600000
 MIOpen(HIP):    wDesc = {512, 512, 3, 3}, {4608, 9, 3, 1}, packed,
 MIOpen(HIP):    w = 0x7f3acde00000
 MIOpen(HIP):    convDesc = conv2d, miopenConvolution, miopenPaddingDefault, {1, 1}, {1, 1}, {1, 1},
 MIOpen(HIP):    algo = 3
 MIOpen(HIP):    beta = 0x7f2a627f7e10
 MIOpen(HIP):    yDesc = {1, 512, 192, 192}, {18874368, 36864, 192, 1}, packed,
 MIOpen(HIP):    y = 0x7f3adb600000