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import bpy | |
import gpu | |
from gpu_extras.batch import batch_for_shader | |
VERT_SHADER = """ | |
uniform mat4 ModelViewProjectionMatrix; | |
uniform mat4 ModelMatrix; | |
in vec2 texCoord; | |
in vec3 position; |
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import bpy | |
import gpu | |
from gpu_extras.batch import batch_for_shader | |
VERT_SHADER = """ | |
uniform mat4 ModelViewProjectionMatrix; | |
in vec2 texCoord; | |
in vec3 position; | |
out vec3 pos; |
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// can run on https://thebookofshaders.com/edit.php | |
#ifdef GL_ES | |
precision mediump float; | |
#endif | |
uniform vec2 u_resolution; | |
vec3 hsv2rgb(vec3 c) { | |
vec4 K = vec4(1.0, 2.0/3.0, 1.0/3.0, 3.0); |
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#include <cuda_runtime.h> | |
#include <iostream> | |
#include <chrono> | |
#define CHECK_CUDA(call) \ | |
if ((call) != cudaSuccess) { \ | |
std::cerr << "CUDA error at " << __FILE__ << ":" << __LINE__ << std::endl; \ | |
std::exit(1); \ | |
} |
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#include <cuda_runtime.h> | |
#include <iostream> | |
#include <chrono> | |
#define CHECK_CUDA(call) \ | |
do { \ | |
cudaError_t err = call; \ | |
if (err != cudaSuccess) { \ | |
std::cerr << "CUDA Error: " << cudaGetErrorString(err) << "\n"; \ | |
exit(EXIT_FAILURE); \ |
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#include <cuda_runtime.h> | |
#include <iostream> | |
#include <chrono> | |
#define CHECK_CUDA(call) \ | |
do { \ | |
cudaError_t err = call; \ | |
if (err != cudaSuccess) { \ | |
std::cerr << "CUDA Error: " << cudaGetErrorString(err) << "\n"; \ | |
exit(EXIT_FAILURE); \ |
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12,13c12,15 | |
< #include "ggml-cpu/unary-ops.h" | |
< #include "ggml-cpu/binary-ops.h" | |
--- | |
> #include "unary-ops.h" | |
> #include "binary-ops.h" | |
> #include "vec.h" | |
> #include "ops.h" | |
86,109d87 | |
< #if defined(GGML_USE_ACCELERATE) |
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diff --git a/ops.cpp b/ops.cpp | |
index 6190d0d..c44157b 100644 | |
--- a/ops.cpp | |
+++ b/ops.cpp | |
@@ -2347,7 +2347,7 @@ static void ggml_compute_forward_repeat_back_f32( | |
GGML_ASSERT(nb00 == sizeof(float)); | |
if (ggml_is_contiguous(dst)) { | |
- ggml_vec_set_f32(ne0*ne1*ne2*ne3, dst->data, 0); | |
+ ggml_vec_set_f32(ne0*ne1*ne2*ne3, (float *)dst->data, 0); |
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11a12,13 | |
> #include "ggml-cpu/unary-ops.h" | |
> #include "ggml-cpu/binary-ops.h" | |
4292,4625d4293 | |
< static void ggml_compute_forward_add_f32( | |
< const struct ggml_compute_params * params, | |
< struct ggml_tensor * dst) { | |
< | |
< const struct ggml_tensor * src0 = dst->src[0]; | |
< const struct ggml_tensor * src1 = dst->src[1]; |
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#include "ggml.h" | |
#include "ggml-cpu.h" | |
#ifdef GGML_USE_CUDA | |
#include "ggml-cuda.h" | |
#endif | |
#include <vector> | |
#include <iostream> | |
#include <chrono> |
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