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Debugging ResNet - l
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| Here's the output of activate_excess_capacity with my debug statements in it. | |
| The whole log file that follows contains the entire output of the run. | |
| This is after pruning the first task and before training the second task. | |
| Notice that excess capacity goes to 0% even for some layers with only a small %age of pruning. | |
| Notice that after activating excess capacity, the backward grad hook "ERROR" messages start to appear | |
| in the whole log file. | |
| ====================================================== | |
| = ACTIVATING EXCESS CAPACITY = | |
| ====================================================== | |
| -ResNet: | |
| -ModuleList: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.0%, ndim 4 first_layer True share True | |
| -> in expected block for first_layer/share | |
| -> no weights were pruned, so leave weight_excess_capacity alone. | |
| excess capacity=100.0%, | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.0%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> no weights were pruned, so leave weight_excess_capacity alone. | |
| excess capacity=100.0%, | |
| -Conv2d: | |
| -weight: ndim=4, pruning=8.59375%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=8.59375%, | |
| -Conv2d: | |
| -weight: ndim=4, pruning=8.59375%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=0.0%, | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.0%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> no weights were pruned, so leave weight_excess_capacity alone. | |
| excess capacity=100.0%, | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.0%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> no weights were pruned, so leave weight_excess_capacity alone. | |
| excess capacity=100.0%, | |
| -Conv2d: | |
| -weight: ndim=4, pruning=9.375%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=9.375%, | |
| -Conv2d: | |
| -weight: ndim=4, pruning=17.340087890625%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=8.7890625%, | |
| -Conv2d: | |
| -weight: ndim=4, pruning=45.13092041015625%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=39.84375%, | |
| -Conv2d: | |
| -weight: ndim=4, pruning=53.12042236328125%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=22.0703125%, | |
| -ModuleList: | |
| -Sequential: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=1.5625%, ndim 4 first_layer True share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=1.5625%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=1.5625%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=1.5625%, | |
| -bias: excess capacity=1.5625%, | |
| -ReLU: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=1.5625%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=0.0%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.0%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.0%, | |
| -bias: excess capacity=0.0%, | |
| -Sequential: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.0%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> no weights were pruned, so leave weight_excess_capacity alone. | |
| excess capacity=100.0%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.0%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.0%, | |
| -bias: excess capacity=0.0%, | |
| -ReLU: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.0%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> no weights were pruned, so leave weight_excess_capacity alone. | |
| excess capacity=100.0%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.0%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.0%, | |
| -bias: excess capacity=0.0%, | |
| -Sequential: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=1.5625%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=1.5625%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=1.5625%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=1.5625%, | |
| -bias: excess capacity=1.5625%, | |
| -ReLU: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=10.02197265625%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=8.59375%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=8.59375%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=8.59375%, | |
| -bias: excess capacity=8.59375%, | |
| -MaxPool2d: | |
| -Sequential: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=9.307861328125%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=0.78125%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.78125%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.78125%, | |
| -bias: excess capacity=0.78125%, | |
| -ReLU: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.78125%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=0.0%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.0%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.0%, | |
| -bias: excess capacity=0.0%, | |
| -Sequential: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.0%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> no weights were pruned, so leave weight_excess_capacity alone. | |
| excess capacity=100.0%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.0%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.0%, | |
| -bias: excess capacity=0.0%, | |
| -ReLU: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.0%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> no weights were pruned, so leave weight_excess_capacity alone. | |
| excess capacity=100.0%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.0%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.0%, | |
| -bias: excess capacity=0.0%, | |
| -MaxPool2d: | |
| -Sequential: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.0%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> no weights were pruned, so leave weight_excess_capacity alone. | |
| excess capacity=100.0%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.0%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.0%, | |
| -bias: excess capacity=0.0%, | |
| -ReLU: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.0%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> no weights were pruned, so leave weight_excess_capacity alone. | |
| excess capacity=100.0%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.0%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.0%, | |
| -bias: excess capacity=0.0%, | |
| -Sequential: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.0%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> no weights were pruned, so leave weight_excess_capacity alone. | |
| excess capacity=100.0%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.0%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.0%, | |
| -bias: excess capacity=0.0%, | |
| -ReLU: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=9.375%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=9.375%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=9.375%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=9.375%, | |
| -bias: excess capacity=9.375%, | |
| -MaxPool2d: | |
| -Sequential: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=9.375%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=0.0%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.0%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.0%, | |
| -bias: excess capacity=0.0%, | |
| -ReLU: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=8.7890625%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=8.7890625%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=8.7890625%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=8.7890625%, | |
| -bias: excess capacity=8.7890625%, | |
| -Sequential: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=14.48974609375%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=6.25%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=6.25%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=6.25%, | |
| -bias: excess capacity=6.25%, | |
| -ReLU: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=43.603515625%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=39.84375%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=39.84375%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=39.84375%, | |
| -bias: excess capacity=39.84375%, | |
| -Sequential: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=39.84375%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=0.0%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.0%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.0%, | |
| -bias: excess capacity=0.0%, | |
| -ReLU: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=22.0703125%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=22.0703125%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=22.0703125%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=22.0703125%, | |
| -bias: excess capacity=22.0703125%, | |
| -Sequential: | |
| -AdaptiveAvgPool2d: | |
| -Flatten: | |
| -ModuleList: | |
| -Linear: | |
| -weight: ndim=2, pruning=22.0703125%, ndim 2 first_layer False share True | |
| -Linear: | |
| -weight: ndim=2, pruning=0.0%, ndim 2 first_layer False share True | |
| -Linear: | |
| -weight: ndim=2, pruning=0.0%, ndim 2 first_layer False share True | |
| -Linear: | |
| -weight: ndim=2, pruning=0.0%, ndim 2 first_layer False share True | |
| -Linear: | |
| -weight: ndim=2, pruning=0.0%, ndim 2 first_layer False share True | |
| --------------------------------------------------------------------- | |
| Here's the whole log file. | |
| wandb: Currently logged in as: ndronen (excap). Use `wandb login --relogin` to force relogin | |
| wandb: Tracking run with wandb version 0.17.8 | |
| wandb: Run data is saved locally in /home/sagemaker-user/src/excap/experiments/wandb/run-20240910_104212-rnpnjif7 | |
| wandb: Run `wandb offline` to turn off syncing. | |
| wandb: Syncing run woven-hill-352 | |
| wandb: ⭐️ View project at https://wandb.ai/excap/single_dataset_sequential | |
| wandb: 🚀 View run at https://wandb.ai/excap/single_dataset_sequential/runs/rnpnjif7 | |
| Files already downloaded and verified | |
| getting labels for task splitting: 0%| | 0/391 [00:00<?, ?it/s] | |
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| getting labels for task splitting: 95%|█████████▌| 372/391 [00:01<00:00, 232.47it/s] | |
| getting labels for task splitting: 100%|██████████| 391/391 [00:02<00:00, 192.82it/s] | |
| Task 0 length: 10000 | |
| Task 1 length: 10000 | |
| Task 2 length: 10000 | |
| Task 3 length: 10000 | |
| Task 4 length: 10000 | |
| getting labels for task splitting: 0%| | 0/79 [00:00<?, ?it/s] | |
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| getting labels for task splitting: 43%|████▎ | 34/79 [00:00<00:00, 174.05it/s] | |
| getting labels for task splitting: 100%|██████████| 79/79 [00:00<00:00, 235.82it/s] | |
| Task 0 length: 2000 | |
| Task 1 length: 2000 | |
| Task 2 length: 2000 | |
| Task 3 length: 2000 | |
| Task 4 length: 2000 | |
| num_tasks 5 num_classes 100 train_task_classifier False num_classes [100, 100, 100, 100, 100] metrics [MulticlassAccuracy(), MulticlassAccuracy(), MulticlassAccuracy(), MulticlassAccuracy(), MulticlassAccuracy()] | |
| ResNet( | |
| (res): ModuleList( | |
| (0): Conv2d(3, 64, kernel_size=(1, 1), stride=(1, 1), bias=False) | |
| (1): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False) | |
| (2): Conv2d(64, 128, kernel_size=(1, 1), stride=(2, 2), bias=False) | |
| (3): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1), bias=False) | |
| (4): Conv2d(128, 256, kernel_size=(1, 1), stride=(2, 2), bias=False) | |
| (5): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) | |
| (6): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False) | |
| (7-9): 3 x Conv2d(512, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) | |
| ) | |
| (blocks): ModuleList( | |
| (0): Sequential( | |
| (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) | |
| (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) | |
| (2): ReLU() | |
| (3): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) | |
| (4): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) | |
| ) | |
| (1): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) | |
| (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) | |
| (2): ReLU() | |
| (3): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) | |
| (4): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) | |
| ) | |
| (2): Sequential( | |
| (0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) | |
| (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) | |
| (2): ReLU() | |
| (3): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) | |
| (4): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) | |
| (5): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) | |
| ) | |
| (3): Sequential( | |
| (0): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) | |
| (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) | |
| (2): ReLU() | |
| (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) | |
| (4): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) | |
| ) | |
| (4): Sequential( | |
| (0): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) | |
| (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) | |
| (2): ReLU() | |
| (3): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) | |
| (4): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) | |
| (5): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) | |
| ) | |
| (5): Sequential( | |
| (0): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) | |
| (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) | |
| (2): ReLU() | |
| (3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) | |
| (4): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) | |
| ) | |
| (6): Sequential( | |
| (0): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) | |
| (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) | |
| (2): ReLU() | |
| (3): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) | |
| (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) | |
| (5): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) | |
| ) | |
| (7-9): 3 x Sequential( | |
| (0): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) | |
| (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) | |
| (2): ReLU() | |
| (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) | |
| (4): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) | |
| ) | |
| ) | |
| (formatter): Sequential( | |
| (0): AdaptiveAvgPool2d(output_size=1) | |
| (1): Flatten(start_dim=1, end_dim=-1) | |
| ) | |
| (classifiers): ModuleList( | |
| (0-4): 5 x Linear(in_features=512, out_features=100, bias=True) | |
| ) | |
| ) | |
| Training task 0 | |
| ====================================================== | |
| = APPLYING FINETUNING HOOKS = | |
| ====================================================== | |
| -Conv2d (weight) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -BatchNorm2d (weight) ... Done! | |
| -BatchNorm2d (bias) ... Done! | |
| -BatchNorm2d (pre/post hook) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -BatchNorm2d (weight) ... Done! | |
| -BatchNorm2d (bias) ... Done! | |
| -BatchNorm2d (pre/post hook) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -BatchNorm2d (weight) ... Done! | |
| -BatchNorm2d (bias) ... Done! | |
| -BatchNorm2d (pre/post hook) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -BatchNorm2d (weight) ... Done! | |
| -BatchNorm2d (bias) ... Done! | |
| -BatchNorm2d (pre/post hook) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -BatchNorm2d (weight) ... Done! | |
| -BatchNorm2d (bias) ... Done! | |
| -BatchNorm2d (pre/post hook) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -BatchNorm2d (weight) ... Done! | |
| -BatchNorm2d (bias) ... Done! | |
| -BatchNorm2d (pre/post hook) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -BatchNorm2d (weight) ... Done! | |
| -BatchNorm2d (bias) ... Done! | |
| -BatchNorm2d (pre/post hook) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -BatchNorm2d (weight) ... Done! | |
| -BatchNorm2d (bias) ... Done! | |
| -BatchNorm2d (pre/post hook) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -BatchNorm2d (weight) ... Done! | |
| -BatchNorm2d (bias) ... Done! | |
| -BatchNorm2d (pre/post hook) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -BatchNorm2d (weight) ... Done! | |
| -BatchNorm2d (bias) ... Done! | |
| -BatchNorm2d (pre/post hook) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -BatchNorm2d (weight) ... Done! | |
| -BatchNorm2d (bias) ... Done! | |
| -BatchNorm2d (pre/post hook) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -BatchNorm2d (weight) ... Done! | |
| -BatchNorm2d (bias) ... Done! | |
| -BatchNorm2d (pre/post hook) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -BatchNorm2d (weight) ... Done! | |
| -BatchNorm2d (bias) ... Done! | |
| -BatchNorm2d (pre/post hook) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -BatchNorm2d (weight) ... Done! | |
| -BatchNorm2d (bias) ... Done! | |
| -BatchNorm2d (pre/post hook) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -BatchNorm2d (weight) ... Done! | |
| -BatchNorm2d (bias) ... Done! | |
| -BatchNorm2d (pre/post hook) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -BatchNorm2d (weight) ... Done! | |
| -BatchNorm2d (bias) ... Done! | |
| -BatchNorm2d (pre/post hook) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -BatchNorm2d (weight) ... Done! | |
| -BatchNorm2d (bias) ... Done! | |
| -BatchNorm2d (pre/post hook) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -BatchNorm2d (weight) ... Done! | |
| -BatchNorm2d (bias) ... Done! | |
| -BatchNorm2d (pre/post hook) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -BatchNorm2d (weight) ... Done! | |
| -BatchNorm2d (bias) ... Done! | |
| -BatchNorm2d (pre/post hook) ... Done! | |
| -Conv2d (weight) ... Done! | |
| -BatchNorm2d (weight) ... Done! | |
| -BatchNorm2d (bias) ... Done! | |
| -BatchNorm2d (pre/post hook) ... Done! | |
| -Linear (weight) ... Done! | |
| -Linear (bias) ... Done! | |
| -Linear (weight) ... Done! | |
| -Linear (bias) ... Done! | |
| -Linear (weight) ... Done! | |
| -Linear (bias) ... Done! | |
| -Linear (weight) ... Done! | |
| -Linear (bias) ... Done! | |
| -Linear (weight) ... Done! | |
| -Linear (bias) ... Done! | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
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| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| Number of neurons 8384, pct 0.01, number to prune 83, number pruned or trained 0, number remaining 8384 | |
| Taylor scoring: 0%| | 0/39 [00:00<?, ?it/s] | |
| Taylor scoring: 3%|▎ | 1/39 [00:00<00:14, 2.57it/s] | |
| Taylor scoring: 5%|▌ | 2/39 [00:00<00:08, 4.40it/s] | |
| Taylor scoring: 8%|▊ | 3/39 [00:00<00:06, 5.70it/s] | |
| Taylor scoring: 10%|█ | 4/39 [00:00<00:05, 6.62it/s] | |
| Taylor scoring: 13%|█▎ | 5/39 [00:00<00:04, 7.27it/s] | |
| Taylor scoring: 15%|█▌ | 6/39 [00:00<00:04, 7.74it/s] | |
| Taylor scoring: 18%|█▊ | 7/39 [00:01<00:03, 8.06it/s] | |
| Taylor scoring: 21%|██ | 8/39 [00:01<00:03, 8.28it/s] | |
| Taylor scoring: 23%|██▎ | 9/39 [00:01<00:03, 8.44it/s] | |
| Taylor scoring: 26%|██▌ | 10/39 [00:01<00:03, 8.55it/s] | |
| Taylor scoring: 28%|██▊ | 11/39 [00:01<00:03, 8.63it/s] | |
| Taylor scoring: 31%|███ | 12/39 [00:01<00:03, 8.68it/s] | |
| Taylor scoring: 33%|███▎ | 13/39 [00:01<00:02, 8.72it/s] | |
| Taylor scoring: 36%|███▌ | 14/39 [00:01<00:02, 8.75it/s] | |
| Taylor scoring: 38%|███▊ | 15/39 [00:01<00:02, 8.77it/s] | |
| Taylor scoring: 41%|████ | 16/39 [00:02<00:02, 8.77it/s] | |
| Taylor scoring: 44%|████▎ | 17/39 [00:02<00:02, 8.78it/s] | |
| Taylor scoring: 46%|████▌ | 18/39 [00:02<00:02, 8.79it/s] | |
| Taylor scoring: 49%|████▊ | 19/39 [00:02<00:02, 8.79it/s] | |
| Taylor scoring: 51%|█████▏ | 20/39 [00:02<00:02, 8.80it/s] | |
| Taylor scoring: 54%|█████▍ | 21/39 [00:02<00:02, 8.80it/s] | |
| Taylor scoring: 56%|█████▋ | 22/39 [00:02<00:01, 8.77it/s] | |
| Taylor scoring: 59%|█████▉ | 23/39 [00:02<00:01, 8.76it/s] | |
| Taylor scoring: 62%|██████▏ | 24/39 [00:03<00:01, 8.75it/s] | |
| Taylor scoring: 64%|██████▍ | 25/39 [00:03<00:01, 8.76it/s] | |
| Taylor scoring: 67%|██████▋ | 26/39 [00:03<00:01, 8.76it/s] | |
| Taylor scoring: 69%|██████▉ | 27/39 [00:03<00:01, 8.76it/s] | |
| Taylor scoring: 72%|███████▏ | 28/39 [00:03<00:01, 8.76it/s] | |
| Taylor scoring: 74%|███████▍ | 29/39 [00:03<00:01, 8.77it/s] | |
| Taylor scoring: 77%|███████▋ | 30/39 [00:03<00:01, 8.77it/s] | |
| Taylor scoring: 79%|███████▉ | 31/39 [00:03<00:00, 8.77it/s] | |
| Taylor scoring: 82%|████████▏ | 32/39 [00:03<00:00, 8.77it/s] | |
| Taylor scoring: 85%|████████▍ | 33/39 [00:04<00:00, 8.77it/s] | |
| Taylor scoring: 87%|████████▋ | 34/39 [00:04<00:00, 8.77it/s] | |
| Taylor scoring: 90%|████████▉ | 35/39 [00:04<00:00, 8.77it/s] | |
| Taylor scoring: 92%|█████████▏| 36/39 [00:04<00:00, 8.77it/s] | |
| Taylor scoring: 95%|█████████▍| 37/39 [00:04<00:00, 8.77it/s] | |
| Taylor scoring: 97%|█████████▋| 38/39 [00:04<00:00, 8.77it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.77it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.23it/s] | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731398131936 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731398131936 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731398132976 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731398132976 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608279440 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139734608279440 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733256295008 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733256295008 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608265600 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139734608265600 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733319946128 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733319946128 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397997680 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397997680 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608253696 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139734608253696 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733319945408 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733319945408 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731422646800 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731422646800 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900244960 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900244960 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900242720 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900242720 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608274400 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139734608274400 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900242880 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900242880 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608280240 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139734608280240 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608280960 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139734608280960 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733256295488 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733256295488 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608275920 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139734608275920 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397987680 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139731397987680 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900237520 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900237520 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733899825280 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733899825280 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397991680 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139731397991680 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733899833920 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733899833920 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733899833280 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733899833280 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608258176 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139734608258176 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733319945488 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733319945488 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731422642880 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731422642880 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731422644400 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731422644400 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731422644000 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731422644000 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731422644320 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731422644320 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| kth_lowest_value 0.0014201520243659616 | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 3, 3, 3]) default_mask torch.Size([64, 3, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 64, 3, 3]) default_mask torch.Size([128, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 128, 3, 3]) default_mask torch.Size([256, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 256, 3, 3]) default_mask torch.Size([512, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| Number of neurons 8384, pct 0.01, number to prune 83, number pruned or trained 92, number remaining 8292 | |
| Taylor scoring: 0%| | 0/39 [00:00<?, ?it/s] | |
| Taylor scoring: 3%|▎ | 1/39 [00:00<00:13, 2.82it/s] | |
| Taylor scoring: 5%|▌ | 2/39 [00:00<00:07, 4.68it/s] | |
| Taylor scoring: 8%|▊ | 3/39 [00:00<00:06, 5.94it/s] | |
| Taylor scoring: 10%|█ | 4/39 [00:00<00:05, 6.82it/s] | |
| Taylor scoring: 13%|█▎ | 5/39 [00:00<00:04, 7.43it/s] | |
| Taylor scoring: 15%|█▌ | 6/39 [00:00<00:04, 7.84it/s] | |
| Taylor scoring: 18%|█▊ | 7/39 [00:01<00:03, 8.13it/s] | |
| Taylor scoring: 21%|██ | 8/39 [00:01<00:03, 8.33it/s] | |
| Taylor scoring: 23%|██▎ | 9/39 [00:01<00:03, 8.47it/s] | |
| Taylor scoring: 26%|██▌ | 10/39 [00:01<00:03, 8.56it/s] | |
| Taylor scoring: 28%|██▊ | 11/39 [00:01<00:03, 8.63it/s] | |
| Taylor scoring: 31%|███ | 12/39 [00:01<00:03, 8.68it/s] | |
| Taylor scoring: 33%|███▎ | 13/39 [00:01<00:02, 8.72it/s] | |
| Taylor scoring: 36%|███▌ | 14/39 [00:01<00:02, 8.75it/s] | |
| Taylor scoring: 38%|███▊ | 15/39 [00:01<00:02, 8.76it/s] | |
| Taylor scoring: 41%|████ | 16/39 [00:02<00:02, 8.77it/s] | |
| Taylor scoring: 44%|████▎ | 17/39 [00:02<00:02, 8.77it/s] | |
| Taylor scoring: 46%|████▌ | 18/39 [00:02<00:02, 8.77it/s] | |
| Taylor scoring: 49%|████▊ | 19/39 [00:02<00:02, 8.77it/s] | |
| Taylor scoring: 51%|█████▏ | 20/39 [00:02<00:02, 8.78it/s] | |
| Taylor scoring: 54%|█████▍ | 21/39 [00:02<00:02, 8.78it/s] | |
| Taylor scoring: 56%|█████▋ | 22/39 [00:02<00:01, 8.78it/s] | |
| Taylor scoring: 59%|█████▉ | 23/39 [00:02<00:01, 8.79it/s] | |
| Taylor scoring: 62%|██████▏ | 24/39 [00:02<00:01, 8.79it/s] | |
| Taylor scoring: 64%|██████▍ | 25/39 [00:03<00:01, 8.80it/s] | |
| Taylor scoring: 67%|██████▋ | 26/39 [00:03<00:01, 8.81it/s] | |
| Taylor scoring: 69%|██████▉ | 27/39 [00:03<00:01, 8.81it/s] | |
| Taylor scoring: 72%|███████▏ | 28/39 [00:03<00:01, 8.82it/s] | |
| Taylor scoring: 74%|███████▍ | 29/39 [00:03<00:01, 8.82it/s] | |
| Taylor scoring: 77%|███████▋ | 30/39 [00:03<00:01, 8.83it/s] | |
| Taylor scoring: 79%|███████▉ | 31/39 [00:03<00:00, 8.83it/s] | |
| Taylor scoring: 82%|████████▏ | 32/39 [00:03<00:00, 8.83it/s] | |
| Taylor scoring: 85%|████████▍ | 33/39 [00:03<00:00, 8.83it/s] | |
| Taylor scoring: 87%|████████▋ | 34/39 [00:04<00:00, 8.83it/s] | |
| Taylor scoring: 90%|████████▉ | 35/39 [00:04<00:00, 8.83it/s] | |
| Taylor scoring: 92%|█████████▏| 36/39 [00:04<00:00, 8.83it/s] | |
| Taylor scoring: 95%|█████████▍| 37/39 [00:04<00:00, 8.83it/s] | |
| Taylor scoring: 97%|█████████▋| 38/39 [00:04<00:00, 8.83it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.83it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.30it/s] | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733319942848 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733319942848 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900142256 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900142256 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900136976 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900136976 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733256294928 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733256294928 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608276400 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139734608276400 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900178304 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900178304 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900172704 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900172704 raw_scores 512 already_pruned 1 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.001953125 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397887616 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397887616 raw_scores 512 already_pruned 1 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.001953125 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608312448 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139734608312448 raw_scores 512 already_pruned 17 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.033203125 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608310608 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139734608310608 raw_scores 512 already_pruned 27 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.052734375 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733319946288 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733319946288 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733319943088 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733319943088 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733899836160 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733899836160 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900137856 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900137856 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608280560 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139734608280560 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900132576 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900132576 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733256295408 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733256295408 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733899829440 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733899829440 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900168944 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900168944 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608269440 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139734608269440 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900165584 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900165584 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900175344 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900175344 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397888336 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139731397888336 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900170704 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900170704 raw_scores 512 already_pruned 1 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.001953125 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608313728 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139734608313728 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900146656 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900146656 raw_scores 512 already_pruned 1 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.001953125 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731556590320 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731556590320 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731556591040 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731556591040 raw_scores 512 already_pruned 17 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.033203125 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731556590160 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731556590160 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733321973680 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733321973680 raw_scores 512 already_pruned 27 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.052734375 | |
| kth_lowest_value 0.0016196459764614701 | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 3, 3, 3]) default_mask torch.Size([64, 3, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 64, 3, 3]) default_mask torch.Size([128, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 128, 3, 3]) default_mask torch.Size([256, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using 99.8046875% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([511, 256, 3, 3]) default_mask torch.Size([511, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 99.8046875% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([511, 512, 3, 3]) default_mask torch.Size([511, 512, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 96.6796875% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([495, 512, 3, 3]) default_mask torch.Size([495, 512, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 94.7265625% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([485, 512, 3, 3]) default_mask torch.Size([485, 512, 3, 3]) | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| Number of neurons 8384, pct 0.01, number to prune 83, number pruned or trained 194, number remaining 8190 | |
| Taylor scoring: 0%| | 0/39 [00:00<?, ?it/s] | |
| Taylor scoring: 3%|▎ | 1/39 [00:00<00:13, 2.82it/s] | |
| Taylor scoring: 5%|▌ | 2/39 [00:00<00:07, 4.69it/s] | |
| Taylor scoring: 8%|▊ | 3/39 [00:00<00:06, 5.95it/s] | |
| Taylor scoring: 10%|█ | 4/39 [00:00<00:05, 6.83it/s] | |
| Taylor scoring: 13%|█▎ | 5/39 [00:00<00:04, 7.43it/s] | |
| Taylor scoring: 15%|█▌ | 6/39 [00:00<00:04, 7.84it/s] | |
| Taylor scoring: 18%|█▊ | 7/39 [00:01<00:03, 8.13it/s] | |
| Taylor scoring: 21%|██ | 8/39 [00:01<00:03, 8.32it/s] | |
| Taylor scoring: 23%|██▎ | 9/39 [00:01<00:03, 8.47it/s] | |
| Taylor scoring: 26%|██▌ | 10/39 [00:01<00:03, 8.57it/s] | |
| Taylor scoring: 28%|██▊ | 11/39 [00:01<00:03, 8.64it/s] | |
| Taylor scoring: 31%|███ | 12/39 [00:01<00:03, 8.68it/s] | |
| Taylor scoring: 33%|███▎ | 13/39 [00:01<00:02, 8.71it/s] | |
| Taylor scoring: 36%|███▌ | 14/39 [00:01<00:02, 8.73it/s] | |
| Taylor scoring: 38%|███▊ | 15/39 [00:01<00:02, 8.75it/s] | |
| Taylor scoring: 41%|████ | 16/39 [00:02<00:02, 8.76it/s] | |
| Taylor scoring: 44%|████▎ | 17/39 [00:02<00:02, 8.76it/s] | |
| Taylor scoring: 46%|████▌ | 18/39 [00:02<00:02, 8.77it/s] | |
| Taylor scoring: 49%|████▊ | 19/39 [00:02<00:02, 8.78it/s] | |
| Taylor scoring: 51%|█████▏ | 20/39 [00:02<00:02, 8.79it/s] | |
| Taylor scoring: 54%|█████▍ | 21/39 [00:02<00:02, 8.78it/s] | |
| Taylor scoring: 56%|█████▋ | 22/39 [00:02<00:01, 8.78it/s] | |
| Taylor scoring: 59%|█████▉ | 23/39 [00:02<00:01, 8.78it/s] | |
| Taylor scoring: 62%|██████▏ | 24/39 [00:02<00:01, 8.78it/s] | |
| Taylor scoring: 64%|██████▍ | 25/39 [00:03<00:01, 8.78it/s] | |
| Taylor scoring: 67%|██████▋ | 26/39 [00:03<00:01, 8.78it/s] | |
| Taylor scoring: 69%|██████▉ | 27/39 [00:03<00:01, 8.79it/s] | |
| Taylor scoring: 72%|███████▏ | 28/39 [00:03<00:01, 8.80it/s] | |
| Taylor scoring: 74%|███████▍ | 29/39 [00:03<00:01, 8.80it/s] | |
| Taylor scoring: 77%|███████▋ | 30/39 [00:03<00:01, 8.80it/s] | |
| Taylor scoring: 79%|███████▉ | 31/39 [00:03<00:00, 8.81it/s] | |
| Taylor scoring: 82%|████████▏ | 32/39 [00:03<00:00, 8.81it/s] | |
| Taylor scoring: 85%|████████▍ | 33/39 [00:03<00:00, 8.81it/s] | |
| Taylor scoring: 87%|████████▋ | 34/39 [00:04<00:00, 8.82it/s] | |
| Taylor scoring: 90%|████████▉ | 35/39 [00:04<00:00, 8.81it/s] | |
| Taylor scoring: 92%|█████████▏| 36/39 [00:04<00:00, 8.81it/s] | |
| Taylor scoring: 95%|█████████▍| 37/39 [00:04<00:00, 8.81it/s] | |
| Taylor scoring: 97%|█████████▋| 38/39 [00:04<00:00, 8.81it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.81it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.29it/s] | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900227376 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900227376 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900239840 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900239840 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900246880 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900246880 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900213712 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900213712 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900200352 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900200352 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397612128 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139731397612128 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.001953125 | |
| 139731397609408 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397609408 raw_scores 512 already_pruned 3 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.005859375 | |
| module.raw_scores fraction torch.inf (before) 0.001953125 | |
| 139731397610608 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397610608 raw_scores 512 already_pruned 5 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.009765625 | |
| module.raw_scores fraction torch.inf (before) 0.033203125 | |
| 139731397616768 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397616768 raw_scores 512 already_pruned 50 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.09765625 | |
| module.raw_scores fraction torch.inf (before) 0.052734375 | |
| 139731397609008 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397609008 raw_scores 512 already_pruned 39 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.076171875 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733901537696 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733901537696 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731423494928 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731423494928 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900244480 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900244480 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900220256 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900220256 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900231760 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900231760 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900243760 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900243760 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900210912 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900210912 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900211952 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900211952 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900199232 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900199232 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900239040 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900239040 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397616208 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139731397616208 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397611808 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139731397611808 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397612208 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139731397612208 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.001953125 | |
| 139731397617328 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397617328 raw_scores 512 already_pruned 3 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.005859375 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397612768 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397612768 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.001953125 | |
| 139731397608128 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397608128 raw_scores 512 already_pruned 5 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.009765625 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397613168 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397613168 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.033203125 | |
| 139731397608688 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397608688 raw_scores 512 already_pruned 50 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.09765625 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397608048 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397608048 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.052734375 | |
| 139733900223216 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900223216 raw_scores 512 already_pruned 39 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.076171875 | |
| kth_lowest_value 0.0017938201781362295 | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 3, 3, 3]) default_mask torch.Size([64, 3, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 64, 3, 3]) default_mask torch.Size([128, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 128, 3, 3]) default_mask torch.Size([256, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using 99.4140625% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([509, 256, 3, 3]) default_mask torch.Size([509, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 99.0234375% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([507, 512, 3, 3]) default_mask torch.Size([507, 512, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 90.234375% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([462, 512, 3, 3]) default_mask torch.Size([462, 512, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 92.3828125% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([473, 512, 3, 3]) default_mask torch.Size([473, 512, 3, 3]) | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| Number of neurons 8384, pct 0.01, number to prune 83, number pruned or trained 294, number remaining 8090 | |
| Taylor scoring: 0%| | 0/39 [00:00<?, ?it/s] | |
| Taylor scoring: 3%|▎ | 1/39 [00:00<00:13, 2.81it/s] | |
| Taylor scoring: 5%|▌ | 2/39 [00:00<00:07, 4.67it/s] | |
| Taylor scoring: 8%|▊ | 3/39 [00:00<00:06, 5.93it/s] | |
| Taylor scoring: 10%|█ | 4/39 [00:00<00:05, 6.81it/s] | |
| Taylor scoring: 13%|█▎ | 5/39 [00:00<00:04, 7.41it/s] | |
| Taylor scoring: 15%|█▌ | 6/39 [00:00<00:04, 7.83it/s] | |
| Taylor scoring: 18%|█▊ | 7/39 [00:01<00:03, 8.12it/s] | |
| Taylor scoring: 21%|██ | 8/39 [00:01<00:03, 8.33it/s] | |
| Taylor scoring: 23%|██▎ | 9/39 [00:01<00:03, 8.46it/s] | |
| Taylor scoring: 26%|██▌ | 10/39 [00:01<00:03, 8.55it/s] | |
| Taylor scoring: 28%|██▊ | 11/39 [00:01<00:03, 8.62it/s] | |
| Taylor scoring: 31%|███ | 12/39 [00:01<00:03, 8.67it/s] | |
| Taylor scoring: 33%|███▎ | 13/39 [00:01<00:02, 8.71it/s] | |
| Taylor scoring: 36%|███▌ | 14/39 [00:01<00:02, 8.74it/s] | |
| Taylor scoring: 38%|███▊ | 15/39 [00:01<00:02, 8.74it/s] | |
| Taylor scoring: 41%|████ | 16/39 [00:02<00:02, 8.76it/s] | |
| Taylor scoring: 44%|████▎ | 17/39 [00:02<00:02, 8.78it/s] | |
| Taylor scoring: 46%|████▌ | 18/39 [00:02<00:02, 8.79it/s] | |
| Taylor scoring: 49%|████▊ | 19/39 [00:02<00:02, 8.79it/s] | |
| Taylor scoring: 51%|█████▏ | 20/39 [00:02<00:02, 8.80it/s] | |
| Taylor scoring: 54%|█████▍ | 21/39 [00:02<00:02, 8.79it/s] | |
| Taylor scoring: 56%|█████▋ | 22/39 [00:02<00:01, 8.80it/s] | |
| Taylor scoring: 59%|█████▉ | 23/39 [00:02<00:01, 8.80it/s] | |
| Taylor scoring: 62%|██████▏ | 24/39 [00:02<00:01, 8.79it/s] | |
| Taylor scoring: 64%|██████▍ | 25/39 [00:03<00:01, 8.80it/s] | |
| Taylor scoring: 67%|██████▋ | 26/39 [00:03<00:01, 8.81it/s] | |
| Taylor scoring: 69%|██████▉ | 27/39 [00:03<00:01, 8.82it/s] | |
| Taylor scoring: 72%|███████▏ | 28/39 [00:03<00:01, 8.82it/s] | |
| Taylor scoring: 74%|███████▍ | 29/39 [00:03<00:01, 8.83it/s] | |
| Taylor scoring: 77%|███████▋ | 30/39 [00:03<00:01, 8.83it/s] | |
| Taylor scoring: 79%|███████▉ | 31/39 [00:03<00:00, 8.83it/s] | |
| Taylor scoring: 82%|████████▏ | 32/39 [00:03<00:00, 8.83it/s] | |
| Taylor scoring: 85%|████████▍ | 33/39 [00:03<00:00, 8.83it/s] | |
| Taylor scoring: 87%|████████▋ | 34/39 [00:04<00:00, 8.83it/s] | |
| Taylor scoring: 90%|████████▉ | 35/39 [00:04<00:00, 8.83it/s] | |
| Taylor scoring: 92%|█████████▏| 36/39 [00:04<00:00, 8.83it/s] | |
| Taylor scoring: 95%|█████████▍| 37/39 [00:04<00:00, 8.83it/s] | |
| Taylor scoring: 97%|█████████▋| 38/39 [00:04<00:00, 8.83it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.83it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.29it/s] | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731423165824 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731423165824 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900165664 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900165664 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397895536 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139731397895536 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397887536 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139731397887536 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397899296 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139731397899296 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731423342288 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139731423342288 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.005859375 | |
| 139734608312448 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139734608312448 raw_scores 512 already_pruned 3 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.005859375 | |
| module.raw_scores fraction torch.inf (before) 0.009765625 | |
| 139734608309568 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139734608309568 raw_scores 512 already_pruned 8 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.015625 | |
| module.raw_scores fraction torch.inf (before) 0.09765625 | |
| 139731398098304 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731398098304 raw_scores 512 already_pruned 91 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.177734375 | |
| module.raw_scores fraction torch.inf (before) 0.076171875 | |
| 139731423163984 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731423163984 raw_scores 512 already_pruned 44 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0859375 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397991440 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731397991440 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731423165984 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731423165984 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397897856 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731397897856 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397887696 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731397887696 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397899456 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731397899456 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397898816 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139731397898816 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397896976 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139731397896976 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397890576 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139731397890576 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397897456 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139731397897456 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731423333328 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139731423333328 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731423338848 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139731423338848 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608313888 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139734608313888 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608300048 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139734608300048 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.005859375 | |
| 139734608300128 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139734608300128 raw_scores 512 already_pruned 3 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.005859375 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731398090304 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731398090304 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.009765625 | |
| 139733321968960 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733321968960 raw_scores 512 already_pruned 8 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.015625 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733321963520 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733321963520 raw_scores 512 already_pruned 2 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.00390625 | |
| module.raw_scores fraction torch.inf (before) 0.09765625 | |
| 139731398089184 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731398089184 raw_scores 512 already_pruned 91 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.177734375 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900123392 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900123392 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.076171875 | |
| 139733900145136 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900145136 raw_scores 512 already_pruned 44 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0859375 | |
| kth_lowest_value 0.0018790685571730137 | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 3, 3, 3]) default_mask torch.Size([64, 3, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 64, 3, 3]) default_mask torch.Size([128, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 128, 3, 3]) default_mask torch.Size([256, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using 99.4140625% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([509, 256, 3, 3]) default_mask torch.Size([509, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 98.4375% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([504, 512, 3, 3]) default_mask torch.Size([504, 512, 3, 3]) | |
| Using 99.609375% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([510, 512, 3, 3]) default_mask torch.Size([510, 512, 3, 3]) | |
| Using 82.2265625% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([421, 512, 3, 3]) default_mask torch.Size([421, 512, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 91.40625% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([468, 512, 3, 3]) default_mask torch.Size([468, 512, 3, 3]) | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| Number of neurons 8384, pct 0.01, number to prune 83, number pruned or trained 383, number remaining 8001 | |
| Taylor scoring: 0%| | 0/39 [00:00<?, ?it/s] | |
| Taylor scoring: 3%|▎ | 1/39 [00:00<00:13, 2.80it/s] | |
| Taylor scoring: 5%|▌ | 2/39 [00:00<00:07, 4.66it/s] | |
| Taylor scoring: 8%|▊ | 3/39 [00:00<00:06, 5.92it/s] | |
| Taylor scoring: 10%|█ | 4/39 [00:00<00:05, 6.79it/s] | |
| Taylor scoring: 13%|█▎ | 5/39 [00:00<00:04, 7.39it/s] | |
| Taylor scoring: 15%|█▌ | 6/39 [00:00<00:04, 7.81it/s] | |
| Taylor scoring: 18%|█▊ | 7/39 [00:01<00:03, 8.10it/s] | |
| Taylor scoring: 21%|██ | 8/39 [00:01<00:03, 8.31it/s] | |
| Taylor scoring: 23%|██▎ | 9/39 [00:01<00:03, 8.46it/s] | |
| Taylor scoring: 26%|██▌ | 10/39 [00:01<00:03, 8.56it/s] | |
| Taylor scoring: 28%|██▊ | 11/39 [00:01<00:03, 8.62it/s] | |
| Taylor scoring: 31%|███ | 12/39 [00:01<00:03, 8.67it/s] | |
| Taylor scoring: 33%|███▎ | 13/39 [00:01<00:02, 8.70it/s] | |
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| Taylor scoring: 38%|███▊ | 15/39 [00:01<00:02, 8.74it/s] | |
| Taylor scoring: 41%|████ | 16/39 [00:02<00:02, 8.74it/s] | |
| Taylor scoring: 44%|████▎ | 17/39 [00:02<00:02, 8.76it/s] | |
| Taylor scoring: 46%|████▌ | 18/39 [00:02<00:02, 8.77it/s] | |
| Taylor scoring: 49%|████▊ | 19/39 [00:02<00:02, 8.78it/s] | |
| Taylor scoring: 51%|█████▏ | 20/39 [00:02<00:02, 8.78it/s] | |
| Taylor scoring: 54%|█████▍ | 21/39 [00:02<00:02, 8.78it/s] | |
| Taylor scoring: 56%|█████▋ | 22/39 [00:02<00:01, 8.79it/s] | |
| Taylor scoring: 59%|█████▉ | 23/39 [00:02<00:01, 8.78it/s] | |
| Taylor scoring: 62%|██████▏ | 24/39 [00:02<00:01, 8.79it/s] | |
| Taylor scoring: 64%|██████▍ | 25/39 [00:03<00:01, 8.80it/s] | |
| Taylor scoring: 67%|██████▋ | 26/39 [00:03<00:01, 8.81it/s] | |
| Taylor scoring: 69%|██████▉ | 27/39 [00:03<00:01, 8.82it/s] | |
| Taylor scoring: 72%|███████▏ | 28/39 [00:03<00:01, 8.82it/s] | |
| Taylor scoring: 74%|███████▍ | 29/39 [00:03<00:01, 8.82it/s] | |
| Taylor scoring: 77%|███████▋ | 30/39 [00:03<00:01, 8.83it/s] | |
| Taylor scoring: 79%|███████▉ | 31/39 [00:03<00:00, 8.83it/s] | |
| Taylor scoring: 82%|████████▏ | 32/39 [00:03<00:00, 8.83it/s] | |
| Taylor scoring: 85%|████████▍ | 33/39 [00:03<00:00, 8.84it/s] | |
| Taylor scoring: 87%|████████▋ | 34/39 [00:04<00:00, 8.84it/s] | |
| Taylor scoring: 90%|████████▉ | 35/39 [00:04<00:00, 8.84it/s] | |
| Taylor scoring: 92%|█████████▏| 36/39 [00:04<00:00, 8.84it/s] | |
| Taylor scoring: 95%|█████████▍| 37/39 [00:04<00:00, 8.84it/s] | |
| Taylor scoring: 97%|█████████▋| 38/39 [00:04<00:00, 8.84it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.84it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.29it/s] | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731556592960 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731556592960 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397991360 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731397991360 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397999280 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139731397999280 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731557185744 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139731557185744 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397995760 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139731397995760 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397614608 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139731397614608 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.005859375 | |
| 139733900117792 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900117792 raw_scores 512 already_pruned 11 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.021484375 | |
| module.raw_scores fraction torch.inf (before) 0.015625 | |
| 139733900122992 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900122992 raw_scores 512 already_pruned 12 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0234375 | |
| module.raw_scores fraction torch.inf (before) 0.177734375 | |
| 139733900127952 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900127952 raw_scores 512 already_pruned 114 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.22265625 | |
| module.raw_scores fraction torch.inf (before) 0.0859375 | |
| 139733900117312 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900117312 raw_scores 512 already_pruned 52 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.1015625 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731556592080 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731556592080 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397997840 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731397997840 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397985840 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731397985840 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900166704 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900166704 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900170224 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900170224 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397997760 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139731397997760 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731557182064 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139731557182064 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900172784 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900172784 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397607488 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139731397607488 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397997360 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139731397997360 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397619968 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139731397619968 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397610528 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139731397610528 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900123072 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900123072 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.005859375 | |
| 139733900124192 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900124192 raw_scores 512 already_pruned 11 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.021484375 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900128832 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900128832 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.015625 | |
| 139733900122352 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900122352 raw_scores 512 already_pruned 12 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0234375 | |
| module.raw_scores fraction torch.inf (before) 0.00390625 | |
| 139733900118992 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900118992 raw_scores 512 already_pruned 5 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.009765625 | |
| module.raw_scores fraction torch.inf (before) 0.177734375 | |
| 139733900127152 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900127152 raw_scores 512 already_pruned 114 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.22265625 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900121392 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900121392 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0859375 | |
| 139733900119952 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900119952 raw_scores 512 already_pruned 52 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.1015625 | |
| kth_lowest_value 0.0019501412753015757 | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 3, 3, 3]) default_mask torch.Size([64, 3, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 64, 3, 3]) default_mask torch.Size([128, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 128, 3, 3]) default_mask torch.Size([256, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using 97.8515625% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([501, 256, 3, 3]) default_mask torch.Size([501, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 97.65625% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([500, 512, 3, 3]) default_mask torch.Size([500, 512, 3, 3]) | |
| Using 99.0234375% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([507, 512, 3, 3]) default_mask torch.Size([507, 512, 3, 3]) | |
| Using 77.734375% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([398, 512, 3, 3]) default_mask torch.Size([398, 512, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 89.84375% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([460, 512, 3, 3]) default_mask torch.Size([460, 512, 3, 3]) | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| Number of neurons 8384, pct 0.01, number to prune 83, number pruned or trained 465, number remaining 7919 | |
| Taylor scoring: 0%| | 0/39 [00:00<?, ?it/s] | |
| Taylor scoring: 3%|▎ | 1/39 [00:00<00:13, 2.83it/s] | |
| Taylor scoring: 5%|▌ | 2/39 [00:00<00:08, 4.60it/s] | |
| Taylor scoring: 8%|▊ | 3/39 [00:00<00:06, 5.88it/s] | |
| Taylor scoring: 10%|█ | 4/39 [00:00<00:05, 6.76it/s] | |
| Taylor scoring: 13%|█▎ | 5/39 [00:00<00:04, 7.37it/s] | |
| Taylor scoring: 15%|█▌ | 6/39 [00:00<00:04, 7.80it/s] | |
| Taylor scoring: 18%|█▊ | 7/39 [00:01<00:03, 8.10it/s] | |
| Taylor scoring: 21%|██ | 8/39 [00:01<00:03, 8.31it/s] | |
| Taylor scoring: 23%|██▎ | 9/39 [00:01<00:03, 8.45it/s] | |
| Taylor scoring: 26%|██▌ | 10/39 [00:01<00:03, 8.56it/s] | |
| Taylor scoring: 28%|██▊ | 11/39 [00:01<00:03, 8.62it/s] | |
| Taylor scoring: 31%|███ | 12/39 [00:01<00:03, 8.68it/s] | |
| Taylor scoring: 33%|███▎ | 13/39 [00:01<00:02, 8.71it/s] | |
| Taylor scoring: 36%|███▌ | 14/39 [00:01<00:02, 8.74it/s] | |
| Taylor scoring: 38%|███▊ | 15/39 [00:01<00:02, 8.76it/s] | |
| Taylor scoring: 41%|████ | 16/39 [00:02<00:02, 8.77it/s] | |
| Taylor scoring: 44%|████▎ | 17/39 [00:02<00:02, 8.78it/s] | |
| Taylor scoring: 46%|████▌ | 18/39 [00:02<00:02, 8.79it/s] | |
| Taylor scoring: 49%|████▊ | 19/39 [00:02<00:02, 8.79it/s] | |
| Taylor scoring: 51%|█████▏ | 20/39 [00:02<00:02, 8.80it/s] | |
| Taylor scoring: 54%|█████▍ | 21/39 [00:02<00:02, 8.80it/s] | |
| Taylor scoring: 56%|█████▋ | 22/39 [00:02<00:01, 8.80it/s] | |
| Taylor scoring: 59%|█████▉ | 23/39 [00:02<00:01, 8.80it/s] | |
| Taylor scoring: 62%|██████▏ | 24/39 [00:02<00:01, 8.80it/s] | |
| Taylor scoring: 64%|██████▍ | 25/39 [00:03<00:01, 8.81it/s] | |
| Taylor scoring: 67%|██████▋ | 26/39 [00:03<00:01, 8.82it/s] | |
| Taylor scoring: 69%|██████▉ | 27/39 [00:03<00:01, 8.82it/s] | |
| Taylor scoring: 72%|███████▏ | 28/39 [00:03<00:01, 8.83it/s] | |
| Taylor scoring: 74%|███████▍ | 29/39 [00:03<00:01, 8.83it/s] | |
| Taylor scoring: 77%|███████▋ | 30/39 [00:03<00:01, 8.84it/s] | |
| Taylor scoring: 79%|███████▉ | 31/39 [00:03<00:00, 8.84it/s] | |
| Taylor scoring: 82%|████████▏ | 32/39 [00:03<00:00, 8.84it/s] | |
| Taylor scoring: 85%|████████▍ | 33/39 [00:03<00:00, 8.84it/s] | |
| Taylor scoring: 87%|████████▋ | 34/39 [00:04<00:00, 8.84it/s] | |
| Taylor scoring: 90%|████████▉ | 35/39 [00:04<00:00, 8.84it/s] | |
| Taylor scoring: 92%|█████████▏| 36/39 [00:04<00:00, 8.84it/s] | |
| Taylor scoring: 95%|█████████▍| 37/39 [00:04<00:00, 8.83it/s] | |
| Taylor scoring: 97%|█████████▋| 38/39 [00:04<00:00, 8.84it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.84it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.30it/s] | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733321967760 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733321967760 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608301888 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139734608301888 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608304448 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139734608304448 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900129152 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900129152 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608253616 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139734608253616 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608259536 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139734608259536 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.021484375 | |
| 139733900123312 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900123312 raw_scores 512 already_pruned 14 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.02734375 | |
| module.raw_scores fraction torch.inf (before) 0.0234375 | |
| 139731397886336 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397886336 raw_scores 512 already_pruned 14 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.02734375 | |
| module.raw_scores fraction torch.inf (before) 0.22265625 | |
| 139733900123072 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900123072 raw_scores 512 already_pruned 138 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.26953125 | |
| module.raw_scores fraction torch.inf (before) 0.1015625 | |
| 139733900117712 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900117712 raw_scores 512 already_pruned 64 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.125 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733321961440 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733321961440 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608300928 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139734608300928 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608311488 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139734608311488 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608311008 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139734608311008 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900129712 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900129712 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900118352 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900118352 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900116832 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900116832 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608258576 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139734608258576 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608260256 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139734608260256 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608254576 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139734608254576 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397898336 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139731397898336 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900129872 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900129872 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397886656 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139731397886656 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.021484375 | |
| 139733900126432 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900126432 raw_scores 512 already_pruned 14 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.02734375 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397887456 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397887456 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0234375 | |
| 139733900120192 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900120192 raw_scores 512 already_pruned 14 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.02734375 | |
| module.raw_scores fraction torch.inf (before) 0.009765625 | |
| 139731423156144 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731423156144 raw_scores 512 already_pruned 5 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.009765625 | |
| module.raw_scores fraction torch.inf (before) 0.22265625 | |
| 139733900129072 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900129072 raw_scores 512 already_pruned 138 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.26953125 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731423163504 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731423163504 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.1015625 | |
| 139733900124272 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900124272 raw_scores 512 already_pruned 64 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.125 | |
| kth_lowest_value 0.0020651870872825384 | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 3, 3, 3]) default_mask torch.Size([64, 3, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 64, 3, 3]) default_mask torch.Size([128, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 128, 3, 3]) default_mask torch.Size([256, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using 97.265625% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([498, 256, 3, 3]) default_mask torch.Size([498, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 97.265625% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([498, 512, 3, 3]) default_mask torch.Size([498, 512, 3, 3]) | |
| Using 99.0234375% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([507, 512, 3, 3]) default_mask torch.Size([507, 512, 3, 3]) | |
| Using 73.046875% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([374, 512, 3, 3]) default_mask torch.Size([374, 512, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 87.5% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([448, 512, 3, 3]) default_mask torch.Size([448, 512, 3, 3]) | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| Number of neurons 8384, pct 0.01, number to prune 83, number pruned or trained 547, number remaining 7837 | |
| Taylor scoring: 0%| | 0/39 [00:00<?, ?it/s] | |
| Taylor scoring: 3%|▎ | 1/39 [00:00<00:13, 2.77it/s] | |
| Taylor scoring: 5%|▌ | 2/39 [00:00<00:08, 4.62it/s] | |
| Taylor scoring: 8%|▊ | 3/39 [00:00<00:06, 5.89it/s] | |
| Taylor scoring: 10%|█ | 4/39 [00:00<00:05, 6.78it/s] | |
| Taylor scoring: 13%|█▎ | 5/39 [00:00<00:04, 7.39it/s] | |
| Taylor scoring: 15%|█▌ | 6/39 [00:00<00:04, 7.81it/s] | |
| Taylor scoring: 18%|█▊ | 7/39 [00:01<00:03, 8.07it/s] | |
| Taylor scoring: 21%|██ | 8/39 [00:01<00:03, 8.28it/s] | |
| Taylor scoring: 23%|██▎ | 9/39 [00:01<00:03, 8.42it/s] | |
| Taylor scoring: 26%|██▌ | 10/39 [00:01<00:03, 8.53it/s] | |
| Taylor scoring: 28%|██▊ | 11/39 [00:01<00:03, 8.60it/s] | |
| Taylor scoring: 31%|███ | 12/39 [00:01<00:03, 8.66it/s] | |
| Taylor scoring: 33%|███▎ | 13/39 [00:01<00:02, 8.70it/s] | |
| Taylor scoring: 36%|███▌ | 14/39 [00:01<00:02, 8.71it/s] | |
| Taylor scoring: 38%|███▊ | 15/39 [00:01<00:02, 8.70it/s] | |
| Taylor scoring: 41%|████ | 16/39 [00:02<00:02, 8.72it/s] | |
| Taylor scoring: 44%|████▎ | 17/39 [00:02<00:02, 8.74it/s] | |
| Taylor scoring: 46%|████▌ | 18/39 [00:02<00:02, 8.75it/s] | |
| Taylor scoring: 49%|████▊ | 19/39 [00:02<00:02, 8.76it/s] | |
| Taylor scoring: 51%|█████▏ | 20/39 [00:02<00:02, 8.77it/s] | |
| Taylor scoring: 54%|█████▍ | 21/39 [00:02<00:02, 8.78it/s] | |
| Taylor scoring: 56%|█████▋ | 22/39 [00:02<00:01, 8.78it/s] | |
| Taylor scoring: 59%|█████▉ | 23/39 [00:02<00:01, 8.74it/s] | |
| Taylor scoring: 62%|██████▏ | 24/39 [00:02<00:01, 8.75it/s] | |
| Taylor scoring: 64%|██████▍ | 25/39 [00:03<00:01, 8.77it/s] | |
| Taylor scoring: 67%|██████▋ | 26/39 [00:03<00:01, 8.78it/s] | |
| Taylor scoring: 69%|██████▉ | 27/39 [00:03<00:01, 8.79it/s] | |
| Taylor scoring: 72%|███████▏ | 28/39 [00:03<00:01, 8.80it/s] | |
| Taylor scoring: 74%|███████▍ | 29/39 [00:03<00:01, 8.81it/s] | |
| Taylor scoring: 77%|███████▋ | 30/39 [00:03<00:01, 8.81it/s] | |
| Taylor scoring: 79%|███████▉ | 31/39 [00:03<00:00, 8.81it/s] | |
| Taylor scoring: 82%|████████▏ | 32/39 [00:03<00:00, 8.81it/s] | |
| Taylor scoring: 85%|████████▍ | 33/39 [00:04<00:00, 8.82it/s] | |
| Taylor scoring: 87%|████████▋ | 34/39 [00:04<00:00, 8.81it/s] | |
| Taylor scoring: 90%|████████▉ | 35/39 [00:04<00:00, 8.82it/s] | |
| Taylor scoring: 92%|█████████▏| 36/39 [00:04<00:00, 8.82it/s] | |
| Taylor scoring: 95%|█████████▍| 37/39 [00:04<00:00, 8.82it/s] | |
| Taylor scoring: 97%|█████████▋| 38/39 [00:04<00:00, 8.82it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.82it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.27it/s] | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731556591760 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731556591760 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900088304 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900088304 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900096704 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900096704 raw_scores 128 already_pruned 1 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0078125 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900098304 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900098304 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900127152 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900127152 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900132032 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900132032 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.02734375 | |
| 139733900117952 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900117952 raw_scores 512 already_pruned 21 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.041015625 | |
| module.raw_scores fraction torch.inf (before) 0.02734375 | |
| 139733900130672 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900130672 raw_scores 512 already_pruned 19 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.037109375 | |
| module.raw_scores fraction torch.inf (before) 0.26953125 | |
| 139731423345328 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731423345328 raw_scores 512 already_pruned 160 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.3125 | |
| module.raw_scores fraction torch.inf (before) 0.125 | |
| 139731398087024 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731398087024 raw_scores 512 already_pruned 69 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.134765625 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731556590720 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731556590720 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900093264 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900093264 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900091424 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900091424 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900092384 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900092384 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900083824 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900083824 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900085104 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900085104 raw_scores 128 already_pruned 1 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0078125 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900094624 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900094624 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900095744 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900095744 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900126592 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900126592 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900127312 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900127312 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900126752 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900126752 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900119952 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900119952 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900118992 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900118992 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.02734375 | |
| 139733900121712 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900121712 raw_scores 512 already_pruned 21 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.041015625 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900123792 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900123792 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.02734375 | |
| 139733900119552 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900119552 raw_scores 512 already_pruned 19 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.037109375 | |
| module.raw_scores fraction torch.inf (before) 0.009765625 | |
| 139731423346048 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731423346048 raw_scores 512 already_pruned 7 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.013671875 | |
| module.raw_scores fraction torch.inf (before) 0.26953125 | |
| 139731557180784 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731557180784 raw_scores 512 already_pruned 160 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.3125 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731398087264 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731398087264 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.125 | |
| 139731423345488 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731423345488 raw_scores 512 already_pruned 69 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.134765625 | |
| kth_lowest_value 0.0021484047174453735 | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 3, 3, 3]) default_mask torch.Size([64, 3, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using 99.21875% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([127, 64, 3, 3]) default_mask torch.Size([127, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 128, 3, 3]) default_mask torch.Size([256, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using 95.8984375% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([491, 256, 3, 3]) default_mask torch.Size([491, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 96.2890625% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([493, 512, 3, 3]) default_mask torch.Size([493, 512, 3, 3]) | |
| Using 98.6328125% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([505, 512, 3, 3]) default_mask torch.Size([505, 512, 3, 3]) | |
| Using 68.75% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([352, 512, 3, 3]) default_mask torch.Size([352, 512, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 86.5234375% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([443, 512, 3, 3]) default_mask torch.Size([443, 512, 3, 3]) | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| Number of neurons 8384, pct 0.01, number to prune 83, number pruned or trained 627, number remaining 7757 | |
| Taylor scoring: 0%| | 0/39 [00:00<?, ?it/s] | |
| Taylor scoring: 3%|▎ | 1/39 [00:00<00:13, 2.83it/s] | |
| Taylor scoring: 5%|▌ | 2/39 [00:00<00:07, 4.69it/s] | |
| Taylor scoring: 8%|▊ | 3/39 [00:00<00:06, 5.94it/s] | |
| Taylor scoring: 10%|█ | 4/39 [00:00<00:05, 6.80it/s] | |
| Taylor scoring: 13%|█▎ | 5/39 [00:00<00:04, 7.41it/s] | |
| Taylor scoring: 15%|█▌ | 6/39 [00:00<00:04, 7.82it/s] | |
| Taylor scoring: 18%|█▊ | 7/39 [00:01<00:03, 8.10it/s] | |
| Taylor scoring: 21%|██ | 8/39 [00:01<00:03, 8.30it/s] | |
| Taylor scoring: 23%|██▎ | 9/39 [00:01<00:03, 8.41it/s] | |
| Taylor scoring: 26%|██▌ | 10/39 [00:01<00:03, 8.51it/s] | |
| Taylor scoring: 28%|██▊ | 11/39 [00:01<00:03, 8.57it/s] | |
| Taylor scoring: 31%|███ | 12/39 [00:01<00:03, 8.62it/s] | |
| Taylor scoring: 33%|███▎ | 13/39 [00:01<00:03, 8.66it/s] | |
| Taylor scoring: 36%|███▌ | 14/39 [00:01<00:02, 8.70it/s] | |
| Taylor scoring: 38%|███▊ | 15/39 [00:01<00:02, 8.72it/s] | |
| Taylor scoring: 41%|████ | 16/39 [00:02<00:02, 8.73it/s] | |
| Taylor scoring: 44%|████▎ | 17/39 [00:02<00:02, 8.74it/s] | |
| Taylor scoring: 46%|████▌ | 18/39 [00:02<00:02, 8.74it/s] | |
| Taylor scoring: 49%|████▊ | 19/39 [00:02<00:02, 8.73it/s] | |
| Taylor scoring: 51%|█████▏ | 20/39 [00:02<00:02, 8.74it/s] | |
| Taylor scoring: 54%|█████▍ | 21/39 [00:02<00:02, 8.76it/s] | |
| Taylor scoring: 56%|█████▋ | 22/39 [00:02<00:01, 8.75it/s] | |
| Taylor scoring: 59%|█████▉ | 23/39 [00:02<00:01, 8.75it/s] | |
| Taylor scoring: 62%|██████▏ | 24/39 [00:02<00:01, 8.74it/s] | |
| Taylor scoring: 64%|██████▍ | 25/39 [00:03<00:01, 8.75it/s] | |
| Taylor scoring: 67%|██████▋ | 26/39 [00:03<00:01, 8.76it/s] | |
| Taylor scoring: 69%|██████▉ | 27/39 [00:03<00:01, 8.77it/s] | |
| Taylor scoring: 72%|███████▏ | 28/39 [00:03<00:01, 8.77it/s] | |
| Taylor scoring: 74%|███████▍ | 29/39 [00:03<00:01, 8.77it/s] | |
| Taylor scoring: 77%|███████▋ | 30/39 [00:03<00:01, 8.77it/s] | |
| Taylor scoring: 79%|███████▉ | 31/39 [00:03<00:00, 8.77it/s] | |
| Taylor scoring: 82%|████████▏ | 32/39 [00:03<00:00, 8.77it/s] | |
| Taylor scoring: 85%|████████▍ | 33/39 [00:04<00:00, 8.77it/s] | |
| Taylor scoring: 87%|████████▋ | 34/39 [00:04<00:00, 8.77it/s] | |
| Taylor scoring: 90%|████████▉ | 35/39 [00:04<00:00, 8.77it/s] | |
| Taylor scoring: 92%|█████████▏| 36/39 [00:04<00:00, 8.77it/s] | |
| Taylor scoring: 95%|█████████▍| 37/39 [00:04<00:00, 8.77it/s] | |
| Taylor scoring: 97%|█████████▋| 38/39 [00:04<00:00, 8.77it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.77it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.26it/s] | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900137456 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900137456 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731423342608 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731423342608 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0078125 | |
| 139731423338448 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139731423338448 raw_scores 128 already_pruned 2 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.015625 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900223696 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900223696 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900227776 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900227776 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397889856 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139731397889856 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.041015625 | |
| 139734608256256 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139734608256256 raw_scores 512 already_pruned 30 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.05859375 | |
| module.raw_scores fraction torch.inf (before) 0.037109375 | |
| 139733900154560 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900154560 raw_scores 512 already_pruned 27 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.052734375 | |
| module.raw_scores fraction torch.inf (before) 0.3125 | |
| 139733900164560 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900164560 raw_scores 512 already_pruned 172 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.3359375 | |
| module.raw_scores fraction torch.inf (before) 0.134765625 | |
| 139733900163120 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900163120 raw_scores 512 already_pruned 77 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.150390625 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900133296 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900133296 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731423333488 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731423333488 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731423342528 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731423342528 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900229856 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900229856 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900229616 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900229616 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0078125 | |
| 139731423334688 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139731423334688 raw_scores 128 already_pruned 2 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.015625 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900225056 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900225056 raw_scores 128 already_pruned 1 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0078125 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608311248 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139734608311248 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608264736 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139734608264736 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900227056 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900227056 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397888016 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139731397888016 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900221856 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900221856 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900149120 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900149120 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.041015625 | |
| 139731397886656 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397886656 raw_scores 512 already_pruned 30 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.05859375 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900157120 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900157120 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.037109375 | |
| 139731397891856 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397891856 raw_scores 512 already_pruned 27 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.052734375 | |
| module.raw_scores fraction torch.inf (before) 0.013671875 | |
| 139731423165984 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731423165984 raw_scores 512 already_pruned 10 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.01953125 | |
| module.raw_scores fraction torch.inf (before) 0.3125 | |
| 139733900159680 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900159680 raw_scores 512 already_pruned 172 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.3359375 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731423164064 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731423164064 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.134765625 | |
| 139733900164160 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900164160 raw_scores 512 already_pruned 77 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.150390625 | |
| kth_lowest_value 0.0022414543200284243 | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 3, 3, 3]) default_mask torch.Size([64, 3, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using 98.4375% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([126, 64, 3, 3]) default_mask torch.Size([126, 64, 3, 3]) | |
| Using 99.21875% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([127, 128, 3, 3]) default_mask torch.Size([127, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 128, 3, 3]) default_mask torch.Size([256, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using 94.140625% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([482, 256, 3, 3]) default_mask torch.Size([482, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 94.7265625% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([485, 512, 3, 3]) default_mask torch.Size([485, 512, 3, 3]) | |
| Using 98.046875% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([502, 512, 3, 3]) default_mask torch.Size([502, 512, 3, 3]) | |
| Using 66.40625% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([340, 512, 3, 3]) default_mask torch.Size([340, 512, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 84.9609375% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([435, 512, 3, 3]) default_mask torch.Size([435, 512, 3, 3]) | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| Number of neurons 8384, pct 0.01, number to prune 83, number pruned or trained 710, number remaining 7674 | |
| Taylor scoring: 0%| | 0/39 [00:00<?, ?it/s] | |
| Taylor scoring: 3%|▎ | 1/39 [00:00<00:13, 2.79it/s] | |
| Taylor scoring: 5%|▌ | 2/39 [00:00<00:07, 4.65it/s] | |
| Taylor scoring: 8%|▊ | 3/39 [00:00<00:06, 5.92it/s] | |
| Taylor scoring: 10%|█ | 4/39 [00:00<00:05, 6.81it/s] | |
| Taylor scoring: 13%|█▎ | 5/39 [00:00<00:04, 7.42it/s] | |
| Taylor scoring: 15%|█▌ | 6/39 [00:00<00:04, 7.83it/s] | |
| Taylor scoring: 18%|█▊ | 7/39 [00:01<00:03, 8.13it/s] | |
| Taylor scoring: 21%|██ | 8/39 [00:01<00:03, 8.31it/s] | |
| Taylor scoring: 23%|██▎ | 9/39 [00:01<00:03, 8.45it/s] | |
| Taylor scoring: 26%|██▌ | 10/39 [00:01<00:03, 8.55it/s] | |
| Taylor scoring: 28%|██▊ | 11/39 [00:01<00:03, 8.63it/s] | |
| Taylor scoring: 31%|███ | 12/39 [00:01<00:03, 8.68it/s] | |
| Taylor scoring: 33%|███▎ | 13/39 [00:01<00:02, 8.72it/s] | |
| Taylor scoring: 36%|███▌ | 14/39 [00:01<00:02, 8.74it/s] | |
| Taylor scoring: 38%|███▊ | 15/39 [00:01<00:02, 8.74it/s] | |
| Taylor scoring: 41%|████ | 16/39 [00:02<00:02, 8.76it/s] | |
| Taylor scoring: 44%|████▎ | 17/39 [00:02<00:02, 8.77it/s] | |
| Taylor scoring: 46%|████▌ | 18/39 [00:02<00:02, 8.78it/s] | |
| Taylor scoring: 49%|████▊ | 19/39 [00:02<00:02, 8.78it/s] | |
| Taylor scoring: 51%|█████▏ | 20/39 [00:02<00:02, 8.78it/s] | |
| Taylor scoring: 54%|█████▍ | 21/39 [00:02<00:02, 8.79it/s] | |
| Taylor scoring: 56%|█████▋ | 22/39 [00:02<00:01, 8.80it/s] | |
| Taylor scoring: 59%|█████▉ | 23/39 [00:02<00:01, 8.80it/s] | |
| Taylor scoring: 62%|██████▏ | 24/39 [00:02<00:01, 8.80it/s] | |
| Taylor scoring: 64%|██████▍ | 25/39 [00:03<00:01, 8.81it/s] | |
| Taylor scoring: 67%|██████▋ | 26/39 [00:03<00:01, 8.81it/s] | |
| Taylor scoring: 69%|██████▉ | 27/39 [00:03<00:01, 8.82it/s] | |
| Taylor scoring: 72%|███████▏ | 28/39 [00:03<00:01, 8.82it/s] | |
| Taylor scoring: 74%|███████▍ | 29/39 [00:03<00:01, 8.83it/s] | |
| Taylor scoring: 77%|███████▋ | 30/39 [00:03<00:01, 8.83it/s] | |
| Taylor scoring: 79%|███████▉ | 31/39 [00:03<00:00, 8.83it/s] | |
| Taylor scoring: 82%|████████▏ | 32/39 [00:03<00:00, 8.83it/s] | |
| Taylor scoring: 85%|████████▍ | 33/39 [00:03<00:00, 8.83it/s] | |
| Taylor scoring: 87%|████████▋ | 34/39 [00:04<00:00, 8.83it/s] | |
| Taylor scoring: 90%|████████▉ | 35/39 [00:04<00:00, 8.83it/s] | |
| Taylor scoring: 92%|█████████▏| 36/39 [00:04<00:00, 8.82it/s] | |
| Taylor scoring: 95%|█████████▍| 37/39 [00:04<00:00, 8.82it/s] | |
| Taylor scoring: 97%|█████████▋| 38/39 [00:04<00:00, 8.82it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.82it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.30it/s] | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608280560 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139734608280560 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608267840 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139734608267840 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.015625 | |
| 139733900145136 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900145136 raw_scores 128 already_pruned 6 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.046875 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900148416 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900148416 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900141856 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900141856 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900094784 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900094784 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.05859375 | |
| 139733900137536 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900137536 raw_scores 512 already_pruned 36 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0703125 | |
| module.raw_scores fraction torch.inf (before) 0.052734375 | |
| 139731397610368 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397610368 raw_scores 512 already_pruned 28 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0546875 | |
| module.raw_scores fraction torch.inf (before) 0.3359375 | |
| 139733900093984 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900093984 raw_scores 512 already_pruned 188 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.3671875 | |
| module.raw_scores fraction torch.inf (before) 0.150390625 | |
| 139733900089104 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900089104 raw_scores 512 already_pruned 89 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.173828125 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608277680 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139734608277680 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608276560 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139734608276560 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900139376 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900139376 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900148576 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900148576 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900141616 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900141616 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.015625 | |
| 139733900133376 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900133376 raw_scores 128 already_pruned 6 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.046875 | |
| module.raw_scores fraction torch.inf (before) 0.0078125 | |
| 139733900142256 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900142256 raw_scores 128 already_pruned 1 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0078125 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900138176 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900138176 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900139456 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900139456 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900136736 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900136736 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900084544 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900084544 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900145376 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900145376 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900096544 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900096544 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.05859375 | |
| 139733900084704 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900084704 raw_scores 512 already_pruned 36 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0703125 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397611568 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397611568 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.052734375 | |
| 139733900096784 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900096784 raw_scores 512 already_pruned 28 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0546875 | |
| module.raw_scores fraction torch.inf (before) 0.01953125 | |
| 139731397623168 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397623168 raw_scores 512 already_pruned 15 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.029296875 | |
| module.raw_scores fraction torch.inf (before) 0.3359375 | |
| 139733900096224 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900096224 raw_scores 512 already_pruned 188 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.3671875 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900128352 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900128352 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.150390625 | |
| 139733900124272 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900124272 raw_scores 512 already_pruned 89 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.173828125 | |
| kth_lowest_value 0.002324215602129698 | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 3, 3, 3]) default_mask torch.Size([64, 3, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using 95.3125% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([122, 64, 3, 3]) default_mask torch.Size([122, 64, 3, 3]) | |
| Using 99.21875% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([127, 128, 3, 3]) default_mask torch.Size([127, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 128, 3, 3]) default_mask torch.Size([256, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using 92.96875% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([476, 256, 3, 3]) default_mask torch.Size([476, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 94.53125% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([484, 512, 3, 3]) default_mask torch.Size([484, 512, 3, 3]) | |
| Using 97.0703125% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([497, 512, 3, 3]) default_mask torch.Size([497, 512, 3, 3]) | |
| Using 63.28125% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([324, 512, 3, 3]) default_mask torch.Size([324, 512, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 82.6171875% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([423, 512, 3, 3]) default_mask torch.Size([423, 512, 3, 3]) | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| Number of neurons 8384, pct 0.01, number to prune 83, number pruned or trained 766, number remaining 7618 | |
| Taylor scoring: 0%| | 0/39 [00:00<?, ?it/s] | |
| Taylor scoring: 3%|▎ | 1/39 [00:00<00:13, 2.84it/s] | |
| Taylor scoring: 5%|▌ | 2/39 [00:00<00:07, 4.71it/s] | |
| Taylor scoring: 8%|▊ | 3/39 [00:00<00:06, 5.97it/s] | |
| Taylor scoring: 10%|█ | 4/39 [00:00<00:05, 6.83it/s] | |
| Taylor scoring: 13%|█▎ | 5/39 [00:00<00:04, 7.42it/s] | |
| Taylor scoring: 15%|█▌ | 6/39 [00:00<00:04, 7.82it/s] | |
| Taylor scoring: 18%|█▊ | 7/39 [00:01<00:03, 8.11it/s] | |
| Taylor scoring: 21%|██ | 8/39 [00:01<00:03, 8.32it/s] | |
| Taylor scoring: 23%|██▎ | 9/39 [00:01<00:03, 8.45it/s] | |
| Taylor scoring: 26%|██▌ | 10/39 [00:01<00:03, 8.55it/s] | |
| Taylor scoring: 28%|██▊ | 11/39 [00:01<00:03, 8.62it/s] | |
| Taylor scoring: 31%|███ | 12/39 [00:01<00:03, 8.67it/s] | |
| Taylor scoring: 33%|███▎ | 13/39 [00:01<00:02, 8.69it/s] | |
| Taylor scoring: 36%|███▌ | 14/39 [00:01<00:02, 8.72it/s] | |
| Taylor scoring: 38%|███▊ | 15/39 [00:01<00:02, 8.74it/s] | |
| Taylor scoring: 41%|████ | 16/39 [00:02<00:02, 8.74it/s] | |
| Taylor scoring: 44%|████▎ | 17/39 [00:02<00:02, 8.76it/s] | |
| Taylor scoring: 46%|████▌ | 18/39 [00:02<00:02, 8.74it/s] | |
| Taylor scoring: 49%|████▊ | 19/39 [00:02<00:02, 8.76it/s] | |
| Taylor scoring: 51%|█████▏ | 20/39 [00:02<00:02, 8.75it/s] | |
| Taylor scoring: 54%|█████▍ | 21/39 [00:02<00:02, 8.76it/s] | |
| Taylor scoring: 56%|█████▋ | 22/39 [00:02<00:01, 8.76it/s] | |
| Taylor scoring: 59%|█████▉ | 23/39 [00:02<00:01, 8.77it/s] | |
| Taylor scoring: 62%|██████▏ | 24/39 [00:02<00:01, 8.77it/s] | |
| Taylor scoring: 64%|██████▍ | 25/39 [00:03<00:01, 8.79it/s] | |
| Taylor scoring: 67%|██████▋ | 26/39 [00:03<00:01, 8.80it/s] | |
| Taylor scoring: 69%|██████▉ | 27/39 [00:03<00:01, 8.80it/s] | |
| Taylor scoring: 72%|███████▏ | 28/39 [00:03<00:01, 8.81it/s] | |
| Taylor scoring: 74%|███████▍ | 29/39 [00:03<00:01, 8.82it/s] | |
| Taylor scoring: 77%|███████▋ | 30/39 [00:03<00:01, 8.82it/s] | |
| Taylor scoring: 79%|███████▉ | 31/39 [00:03<00:00, 8.82it/s] | |
| Taylor scoring: 82%|████████▏ | 32/39 [00:03<00:00, 8.82it/s] | |
| Taylor scoring: 85%|████████▍ | 33/39 [00:03<00:00, 8.82it/s] | |
| Taylor scoring: 87%|████████▋ | 34/39 [00:04<00:00, 8.83it/s] | |
| Taylor scoring: 90%|████████▉ | 35/39 [00:04<00:00, 8.83it/s] | |
| Taylor scoring: 92%|█████████▏| 36/39 [00:04<00:00, 8.83it/s] | |
| Taylor scoring: 95%|█████████▍| 37/39 [00:04<00:00, 8.82it/s] | |
| Taylor scoring: 97%|█████████▋| 38/39 [00:04<00:00, 8.82it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.82it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.29it/s] | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397995680 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731397995680 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731398000240 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731398000240 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.046875 | |
| 139731423500048 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139731423500048 raw_scores 128 already_pruned 8 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0625 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397887936 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139731397887936 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900202192 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900202192 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900201312 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900201312 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0703125 | |
| 139731397899776 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397899776 raw_scores 512 already_pruned 41 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.080078125 | |
| module.raw_scores fraction torch.inf (before) 0.0546875 | |
| 139731398083744 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731398083744 raw_scores 512 already_pruned 34 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.06640625 | |
| module.raw_scores fraction torch.inf (before) 0.3671875 | |
| 139733900217216 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900217216 raw_scores 512 already_pruned 194 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.37890625 | |
| module.raw_scores fraction torch.inf (before) 0.173828125 | |
| 139733900217936 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900217936 raw_scores 512 already_pruned 95 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.185546875 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397988160 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731397988160 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733319946688 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733319946688 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397999280 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731397999280 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731398000560 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731398000560 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733899924464 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733899924464 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.046875 | |
| 139731397893216 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139731397893216 raw_scores 128 already_pruned 8 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0625 | |
| module.raw_scores fraction torch.inf (before) 0.0078125 | |
| 139731397888576 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139731397888576 raw_scores 128 already_pruned 1 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0078125 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733899932384 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733899932384 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900206192 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900206192 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900206592 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900206592 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900203552 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900203552 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900206352 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900206352 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900208192 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900208192 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0703125 | |
| 139731397889936 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397889936 raw_scores 512 already_pruned 41 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.080078125 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731398089024 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731398089024 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0546875 | |
| 139733900210272 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900210272 raw_scores 512 already_pruned 34 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.06640625 | |
| module.raw_scores fraction torch.inf (before) 0.029296875 | |
| 139733900227456 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900227456 raw_scores 512 already_pruned 21 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.041015625 | |
| module.raw_scores fraction torch.inf (before) 0.3671875 | |
| 139733900224576 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900224576 raw_scores 512 already_pruned 194 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.37890625 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900221056 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900221056 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.173828125 | |
| 139731557180384 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731557180384 raw_scores 512 already_pruned 95 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.185546875 | |
| kth_lowest_value 0.0023831522557884455 | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 3, 3, 3]) default_mask torch.Size([64, 3, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using 93.75% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([120, 64, 3, 3]) default_mask torch.Size([120, 64, 3, 3]) | |
| Using 99.21875% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([127, 128, 3, 3]) default_mask torch.Size([127, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 128, 3, 3]) default_mask torch.Size([256, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using 91.9921875% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([471, 256, 3, 3]) default_mask torch.Size([471, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 93.359375% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([478, 512, 3, 3]) default_mask torch.Size([478, 512, 3, 3]) | |
| Using 95.8984375% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([491, 512, 3, 3]) default_mask torch.Size([491, 512, 3, 3]) | |
| Using 62.109375% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([318, 512, 3, 3]) default_mask torch.Size([318, 512, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 81.4453125% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([417, 512, 3, 3]) default_mask torch.Size([417, 512, 3, 3]) | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| Number of neurons 8384, pct 0.01, number to prune 83, number pruned or trained 827, number remaining 7557 | |
| Taylor scoring: 0%| | 0/39 [00:00<?, ?it/s] | |
| Taylor scoring: 3%|▎ | 1/39 [00:00<00:13, 2.81it/s] | |
| Taylor scoring: 5%|▌ | 2/39 [00:00<00:07, 4.66it/s] | |
| Taylor scoring: 8%|▊ | 3/39 [00:00<00:06, 5.93it/s] | |
| Taylor scoring: 10%|█ | 4/39 [00:00<00:05, 6.80it/s] | |
| Taylor scoring: 13%|█▎ | 5/39 [00:00<00:04, 7.40it/s] | |
| Taylor scoring: 15%|█▌ | 6/39 [00:00<00:04, 7.81it/s] | |
| Taylor scoring: 18%|█▊ | 7/39 [00:01<00:03, 8.11it/s] | |
| Taylor scoring: 21%|██ | 8/39 [00:01<00:03, 8.30it/s] | |
| Taylor scoring: 23%|██▎ | 9/39 [00:01<00:03, 8.45it/s] | |
| Taylor scoring: 26%|██▌ | 10/39 [00:01<00:03, 8.55it/s] | |
| Taylor scoring: 28%|██▊ | 11/39 [00:01<00:03, 8.62it/s] | |
| Taylor scoring: 31%|███ | 12/39 [00:01<00:03, 8.68it/s] | |
| Taylor scoring: 33%|███▎ | 13/39 [00:01<00:02, 8.71it/s] | |
| Taylor scoring: 36%|███▌ | 14/39 [00:01<00:02, 8.74it/s] | |
| Taylor scoring: 38%|███▊ | 15/39 [00:01<00:02, 8.76it/s] | |
| Taylor scoring: 41%|████ | 16/39 [00:02<00:02, 8.76it/s] | |
| Taylor scoring: 44%|████▎ | 17/39 [00:02<00:02, 8.77it/s] | |
| Taylor scoring: 46%|████▌ | 18/39 [00:02<00:02, 8.78it/s] | |
| Taylor scoring: 49%|████▊ | 19/39 [00:02<00:02, 8.78it/s] | |
| Taylor scoring: 51%|█████▏ | 20/39 [00:02<00:02, 8.79it/s] | |
| Taylor scoring: 54%|█████▍ | 21/39 [00:02<00:02, 8.80it/s] | |
| Taylor scoring: 56%|█████▋ | 22/39 [00:02<00:01, 8.80it/s] | |
| Taylor scoring: 59%|█████▉ | 23/39 [00:02<00:01, 8.80it/s] | |
| Taylor scoring: 62%|██████▏ | 24/39 [00:02<00:01, 8.79it/s] | |
| Taylor scoring: 64%|██████▍ | 25/39 [00:03<00:01, 8.81it/s] | |
| Taylor scoring: 67%|██████▋ | 26/39 [00:03<00:01, 8.82it/s] | |
| Taylor scoring: 69%|██████▉ | 27/39 [00:03<00:01, 8.83it/s] | |
| Taylor scoring: 72%|███████▏ | 28/39 [00:03<00:01, 8.83it/s] | |
| Taylor scoring: 74%|███████▍ | 29/39 [00:03<00:01, 8.83it/s] | |
| Taylor scoring: 77%|███████▋ | 30/39 [00:03<00:01, 8.84it/s] | |
| Taylor scoring: 79%|███████▉ | 31/39 [00:03<00:00, 8.84it/s] | |
| Taylor scoring: 82%|████████▏ | 32/39 [00:03<00:00, 8.84it/s] | |
| Taylor scoring: 85%|████████▍ | 33/39 [00:03<00:00, 8.84it/s] | |
| Taylor scoring: 87%|████████▋ | 34/39 [00:04<00:00, 8.84it/s] | |
| Taylor scoring: 90%|████████▉ | 35/39 [00:04<00:00, 8.84it/s] | |
| Taylor scoring: 92%|█████████▏| 36/39 [00:04<00:00, 8.84it/s] | |
| Taylor scoring: 95%|█████████▍| 37/39 [00:04<00:00, 8.84it/s] | |
| Taylor scoring: 97%|█████████▋| 38/39 [00:04<00:00, 8.84it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.84it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.30it/s] | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608250896 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139734608250896 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900142976 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900142976 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0625 | |
| 139733900137936 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900137936 raw_scores 128 already_pruned 10 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.078125 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900159520 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900159520 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733256294848 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733256294848 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900122832 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900122832 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.080078125 | |
| 139733900158400 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900158400 raw_scores 512 already_pruned 46 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.08984375 | |
| module.raw_scores fraction torch.inf (before) 0.06640625 | |
| 139731423341008 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731423341008 raw_scores 512 already_pruned 40 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.078125 | |
| module.raw_scores fraction torch.inf (before) 0.37890625 | |
| 139731397616928 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397616928 raw_scores 512 already_pruned 200 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.390625 | |
| module.raw_scores fraction torch.inf (before) 0.185546875 | |
| 139731397619968 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397619968 raw_scores 512 already_pruned 106 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.20703125 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900142496 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900142496 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900138416 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900138416 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900137056 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900137056 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900146096 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900146096 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900152880 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733900152880 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0625 | |
| 139733900158800 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900158800 raw_scores 128 already_pruned 10 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.078125 | |
| module.raw_scores fraction torch.inf (before) 0.0078125 | |
| 139733900157680 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900157680 raw_scores 128 already_pruned 1 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0078125 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900155040 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900155040 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900151920 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139733900151920 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900148960 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900148960 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900129232 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900129232 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900160720 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733900160720 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731423338448 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139731423338448 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.080078125 | |
| 139733900152240 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900152240 raw_scores 512 already_pruned 46 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.08984375 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397609408 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397609408 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.06640625 | |
| 139731397610608 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397610608 raw_scores 512 already_pruned 40 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.078125 | |
| module.raw_scores fraction torch.inf (before) 0.041015625 | |
| 139733900177504 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900177504 raw_scores 512 already_pruned 22 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.04296875 | |
| module.raw_scores fraction torch.inf (before) 0.37890625 | |
| 139733900175184 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900175184 raw_scores 512 already_pruned 200 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.390625 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733900174304 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733900174304 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.185546875 | |
| 139731397607488 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397607488 raw_scores 512 already_pruned 106 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.20703125 | |
| kth_lowest_value 0.002414202783256769 | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 3, 3, 3]) default_mask torch.Size([64, 3, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using 92.1875% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([118, 64, 3, 3]) default_mask torch.Size([118, 64, 3, 3]) | |
| Using 99.21875% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([127, 128, 3, 3]) default_mask torch.Size([127, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 128, 3, 3]) default_mask torch.Size([256, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using 91.015625% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([466, 256, 3, 3]) default_mask torch.Size([466, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 92.1875% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([472, 512, 3, 3]) default_mask torch.Size([472, 512, 3, 3]) | |
| Using 95.703125% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([490, 512, 3, 3]) default_mask torch.Size([490, 512, 3, 3]) | |
| Using 60.9375% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([312, 512, 3, 3]) default_mask torch.Size([312, 512, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 79.296875% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([406, 512, 3, 3]) default_mask torch.Size([406, 512, 3, 3]) | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| Number of neurons 8384, pct 0.01, number to prune 83, number pruned or trained 877, number remaining 7507 | |
| Taylor scoring: 0%| | 0/39 [00:00<?, ?it/s] | |
| Taylor scoring: 3%|▎ | 1/39 [00:00<00:13, 2.74it/s] | |
| Taylor scoring: 5%|▌ | 2/39 [00:00<00:08, 4.60it/s] | |
| Taylor scoring: 8%|▊ | 3/39 [00:00<00:06, 5.87it/s] | |
| Taylor scoring: 10%|█ | 4/39 [00:00<00:05, 6.75it/s] | |
| Taylor scoring: 13%|█▎ | 5/39 [00:00<00:04, 7.37it/s] | |
| Taylor scoring: 15%|█▌ | 6/39 [00:00<00:04, 7.80it/s] | |
| Taylor scoring: 18%|█▊ | 7/39 [00:01<00:03, 8.10it/s] | |
| Taylor scoring: 21%|██ | 8/39 [00:01<00:03, 8.30it/s] | |
| Taylor scoring: 23%|██▎ | 9/39 [00:01<00:03, 8.45it/s] | |
| Taylor scoring: 26%|██▌ | 10/39 [00:01<00:03, 8.55it/s] | |
| Taylor scoring: 28%|██▊ | 11/39 [00:01<00:03, 8.62it/s] | |
| Taylor scoring: 31%|███ | 12/39 [00:01<00:03, 8.67it/s] | |
| Taylor scoring: 33%|███▎ | 13/39 [00:01<00:02, 8.70it/s] | |
| Taylor scoring: 36%|███▌ | 14/39 [00:01<00:02, 8.73it/s] | |
| Taylor scoring: 38%|███▊ | 15/39 [00:01<00:02, 8.75it/s] | |
| Taylor scoring: 41%|████ | 16/39 [00:02<00:02, 8.76it/s] | |
| Taylor scoring: 44%|████▎ | 17/39 [00:02<00:02, 8.77it/s] | |
| Taylor scoring: 46%|████▌ | 18/39 [00:02<00:02, 8.79it/s] | |
| Taylor scoring: 49%|████▊ | 19/39 [00:02<00:02, 8.78it/s] | |
| Taylor scoring: 51%|█████▏ | 20/39 [00:02<00:02, 8.79it/s] | |
| Taylor scoring: 54%|█████▍ | 21/39 [00:02<00:02, 8.80it/s] | |
| Taylor scoring: 56%|█████▋ | 22/39 [00:02<00:01, 8.80it/s] | |
| Taylor scoring: 59%|█████▉ | 23/39 [00:02<00:01, 8.79it/s] | |
| Taylor scoring: 62%|██████▏ | 24/39 [00:02<00:01, 8.79it/s] | |
| Taylor scoring: 64%|██████▍ | 25/39 [00:03<00:01, 8.80it/s] | |
| Taylor scoring: 67%|██████▋ | 26/39 [00:03<00:01, 8.81it/s] | |
| Taylor scoring: 69%|██████▉ | 27/39 [00:03<00:01, 8.82it/s] | |
| Taylor scoring: 72%|███████▏ | 28/39 [00:03<00:01, 8.81it/s] | |
| Taylor scoring: 74%|███████▍ | 29/39 [00:03<00:01, 8.82it/s] | |
| Taylor scoring: 77%|███████▋ | 30/39 [00:03<00:01, 8.82it/s] | |
| Taylor scoring: 79%|███████▉ | 31/39 [00:03<00:00, 8.83it/s] | |
| Taylor scoring: 82%|████████▏ | 32/39 [00:03<00:00, 8.83it/s] | |
| Taylor scoring: 85%|████████▍ | 33/39 [00:04<00:00, 8.83it/s] | |
| Taylor scoring: 87%|████████▋ | 34/39 [00:04<00:00, 8.83it/s] | |
| Taylor scoring: 90%|████████▉ | 35/39 [00:04<00:00, 8.83it/s] | |
| Taylor scoring: 92%|█████████▏| 36/39 [00:04<00:00, 8.83it/s] | |
| Taylor scoring: 95%|█████████▍| 37/39 [00:04<00:00, 8.84it/s] | |
| Taylor scoring: 97%|█████████▋| 38/39 [00:04<00:00, 8.84it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.84it/s] | |
| Taylor scoring: 100%|██████████| 39/39 [00:04<00:00, 8.28it/s] | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733899923504 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733899923504 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731557180624 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731557180624 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.078125 | |
| 139734608277520 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139734608277520 raw_scores 128 already_pruned 11 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0859375 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608279840 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139734608279840 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608266480 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139734608266480 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733321963760 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733321963760 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.08984375 | |
| 139733321969600 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733321969600 raw_scores 512 already_pruned 48 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.09375 | |
| module.raw_scores fraction torch.inf (before) 0.078125 | |
| 139731397888816 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397888816 raw_scores 512 already_pruned 45 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.087890625 | |
| module.raw_scores fraction torch.inf (before) 0.390625 | |
| 139731397887376 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397887376 raw_scores 512 already_pruned 204 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.3984375 | |
| module.raw_scores fraction torch.inf (before) 0.20703125 | |
| 139733321963280 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733321963280 raw_scores 512 already_pruned 113 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.220703125 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733899931424 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733899931424 raw_scores 64 already_pruned 1 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.015625 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733899931344 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139733899931344 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731557182384 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139731557182384 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608278080 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139734608278080 raw_scores 64 already_pruned 0 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608280480 module.raw_scores 64 already_trained 0 torch.Size([64]) | |
| 139734608280480 raw_scores 64 already_pruned 1 torch.Size([64]) | |
| module.raw_scores fraction torch.inf (after) 0.015625 | |
| module.raw_scores fraction torch.inf (before) 0.078125 | |
| 139734608273360 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139734608273360 raw_scores 128 already_pruned 11 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0859375 | |
| module.raw_scores fraction torch.inf (before) 0.0078125 | |
| 139734608277360 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139734608277360 raw_scores 128 already_pruned 1 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0078125 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608281200 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139734608281200 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608275280 module.raw_scores 128 already_trained 0 torch.Size([128]) | |
| 139734608275280 raw_scores 128 already_pruned 0 torch.Size([128]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608272400 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139734608272400 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733321964240 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733321964240 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731557175264 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139731557175264 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139733321969920 module.raw_scores 256 already_trained 0 torch.Size([256]) | |
| 139733321969920 raw_scores 256 already_pruned 0 torch.Size([256]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.08984375 | |
| 139731397898256 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397898256 raw_scores 512 already_pruned 48 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.09375 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139731397887936 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397887936 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.078125 | |
| 139731397898576 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139731397898576 raw_scores 512 already_pruned 45 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.087890625 | |
| module.raw_scores fraction torch.inf (before) 0.04296875 | |
| 139734608305328 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139734608305328 raw_scores 512 already_pruned 32 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0625 | |
| module.raw_scores fraction torch.inf (before) 0.390625 | |
| 139733321969200 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733321969200 raw_scores 512 already_pruned 204 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.3984375 | |
| module.raw_scores fraction torch.inf (before) 0.0 | |
| 139734608308928 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139734608308928 raw_scores 512 already_pruned 0 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.0 | |
| module.raw_scores fraction torch.inf (before) 0.20703125 | |
| 139733321966880 module.raw_scores 512 already_trained 0 torch.Size([512]) | |
| 139733321966880 raw_scores 512 already_pruned 113 torch.Size([512]) | |
| module.raw_scores fraction torch.inf (after) 0.220703125 | |
| kth_lowest_value 0.0025061056949198246 | |
| Using 98.4375% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([63, 3, 3, 3]) default_mask torch.Size([63, 3, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([64, 64, 3, 3]) default_mask torch.Size([64, 64, 3, 3]) | |
| Using 98.4375% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([63, 64, 3, 3]) default_mask torch.Size([63, 64, 3, 3]) | |
| Using 91.40625% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([117, 64, 3, 3]) default_mask torch.Size([117, 64, 3, 3]) | |
| Using 99.21875% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([127, 128, 3, 3]) default_mask torch.Size([127, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([128, 128, 3, 3]) default_mask torch.Size([128, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 128, 3, 3]) default_mask torch.Size([256, 128, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([256, 256, 3, 3]) default_mask torch.Size([256, 256, 3, 3]) | |
| Using 90.625% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([464, 256, 3, 3]) default_mask torch.Size([464, 256, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 91.2109375% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([467, 512, 3, 3]) default_mask torch.Size([467, 512, 3, 3]) | |
| Using 93.75% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([480, 512, 3, 3]) default_mask torch.Size([480, 512, 3, 3]) | |
| Using 60.15625% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([308, 512, 3, 3]) default_mask torch.Size([308, 512, 3, 3]) | |
| Using all scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([512, 512, 3, 3]) default_mask torch.Size([512, 512, 3, 3]) | |
| Using 77.9296875% of remaining scores | |
| Number of neurons containing inf scores 0 | |
| compute_mask tensor torch.Size([399, 512, 3, 3]) default_mask torch.Size([399, 512, 3, 3]) | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| Stopping iterative pruning: Metric 0.9896831512451172 fell below threshold 0.9900000095367432 | |
| Zeroing scoring buffers for taylor pruning | |
| Training task 1 | |
| ====================================================== | |
| = ACTIVATING EXCESS CAPACITY = | |
| ====================================================== | |
| -ResNet: | |
| -ModuleList: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.0%, ndim 4 first_layer True share True | |
| -> in expected block for first_layer/share | |
| -> no weights were pruned, so leave weight_excess_capacity alone. | |
| excess capacity=100.0%, | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.0%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> no weights were pruned, so leave weight_excess_capacity alone. | |
| excess capacity=100.0%, | |
| -Conv2d: | |
| -weight: ndim=4, pruning=8.59375%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=8.59375%, | |
| -Conv2d: | |
| -weight: ndim=4, pruning=8.59375%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=0.0%, | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.0%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> no weights were pruned, so leave weight_excess_capacity alone. | |
| excess capacity=100.0%, | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.0%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> no weights were pruned, so leave weight_excess_capacity alone. | |
| excess capacity=100.0%, | |
| -Conv2d: | |
| -weight: ndim=4, pruning=9.375%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=9.375%, | |
| -Conv2d: | |
| -weight: ndim=4, pruning=17.340087890625%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=8.7890625%, | |
| -Conv2d: | |
| -weight: ndim=4, pruning=45.13092041015625%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=39.84375%, | |
| -Conv2d: | |
| -weight: ndim=4, pruning=53.12042236328125%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=22.0703125%, | |
| -ModuleList: | |
| -Sequential: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=1.5625%, ndim 4 first_layer True share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=1.5625%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=1.5625%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=1.5625%, | |
| -bias: excess capacity=1.5625%, | |
| -ReLU: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=1.5625%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=0.0%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.0%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.0%, | |
| -bias: excess capacity=0.0%, | |
| -Sequential: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.0%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> no weights were pruned, so leave weight_excess_capacity alone. | |
| excess capacity=100.0%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.0%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.0%, | |
| -bias: excess capacity=0.0%, | |
| -ReLU: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.0%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> no weights were pruned, so leave weight_excess_capacity alone. | |
| excess capacity=100.0%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.0%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.0%, | |
| -bias: excess capacity=0.0%, | |
| -Sequential: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=1.5625%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=1.5625%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=1.5625%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=1.5625%, | |
| -bias: excess capacity=1.5625%, | |
| -ReLU: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=10.02197265625%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=8.59375%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=8.59375%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=8.59375%, | |
| -bias: excess capacity=8.59375%, | |
| -MaxPool2d: | |
| -Sequential: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=9.307861328125%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=0.78125%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.78125%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.78125%, | |
| -bias: excess capacity=0.78125%, | |
| -ReLU: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.78125%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=0.0%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.0%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.0%, | |
| -bias: excess capacity=0.0%, | |
| -Sequential: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.0%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> no weights were pruned, so leave weight_excess_capacity alone. | |
| excess capacity=100.0%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.0%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.0%, | |
| -bias: excess capacity=0.0%, | |
| -ReLU: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.0%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> no weights were pruned, so leave weight_excess_capacity alone. | |
| excess capacity=100.0%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.0%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.0%, | |
| -bias: excess capacity=0.0%, | |
| -MaxPool2d: | |
| -Sequential: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.0%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> no weights were pruned, so leave weight_excess_capacity alone. | |
| excess capacity=100.0%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.0%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.0%, | |
| -bias: excess capacity=0.0%, | |
| -ReLU: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.0%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> no weights were pruned, so leave weight_excess_capacity alone. | |
| excess capacity=100.0%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.0%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.0%, | |
| -bias: excess capacity=0.0%, | |
| -Sequential: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=0.0%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> no weights were pruned, so leave weight_excess_capacity alone. | |
| excess capacity=100.0%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.0%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.0%, | |
| -bias: excess capacity=0.0%, | |
| -ReLU: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=9.375%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=9.375%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=9.375%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=9.375%, | |
| -bias: excess capacity=9.375%, | |
| -MaxPool2d: | |
| -Sequential: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=9.375%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=0.0%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.0%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.0%, | |
| -bias: excess capacity=0.0%, | |
| -ReLU: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=8.7890625%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=8.7890625%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=8.7890625%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=8.7890625%, | |
| -bias: excess capacity=8.7890625%, | |
| -Sequential: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=14.48974609375%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=6.25%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=6.25%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=6.25%, | |
| -bias: excess capacity=6.25%, | |
| -ReLU: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=43.603515625%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=39.84375%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=39.84375%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=39.84375%, | |
| -bias: excess capacity=39.84375%, | |
| -Sequential: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=39.84375%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=0.0%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=0.0%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=0.0%, | |
| -bias: excess capacity=0.0%, | |
| -ReLU: | |
| -Conv2d: | |
| -weight: ndim=4, pruning=22.0703125%, ndim 4 first_layer False share True | |
| -> in expected block for first_layer/share | |
| -> some weights we pruned, so allocate capacity. | |
| excess capacity=22.0703125%, | |
| -BatchNorm2d: | |
| -weight: ndim=1, pruning=22.0703125%, ndim 1 first_layer False share True | |
| -> in other block for ndim == 1 | |
| excess capacity=22.0703125%, | |
| -bias: excess capacity=22.0703125%, | |
| -Sequential: | |
| -AdaptiveAvgPool2d: | |
| -Flatten: | |
| -ModuleList: | |
| -Linear: | |
| -weight: ndim=2, pruning=22.0703125%, ndim 2 first_layer False share True | |
| -Linear: | |
| -weight: ndim=2, pruning=0.0%, ndim 2 first_layer False share True | |
| -Linear: | |
| -weight: ndim=2, pruning=0.0%, ndim 2 first_layer False share True | |
| -Linear: | |
| -weight: ndim=2, pruning=0.0%, ndim 2 first_layer False share True | |
| -Linear: | |
| -weight: ndim=2, pruning=0.0%, ndim 2 first_layer False share True | |
| ====================================================== | |
| = (RE)INITIALIZING EXCESS CAPACITY = | |
| ====================================================== | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- transfering frozen batch-norm statistics to module stats ----- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ----- freezing batch-norm statistics for original weights ---- | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64]) | |
| ERROR 0.0 torch.Size([64, 64, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512]) | |
| ERROR 0.0 torch.Size([512, 512, 3, 3]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([256]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 1, 1]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128]) | |
| ERROR 0.0 torch.Size([128, 128, 3, 3]) |
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