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Improve training performance - batch-norm using cuDNN.

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AlexeyAB
2018-03-20 02:16:51 +03:00
parent 2f52cfeb07
commit 537d135feb
12 changed files with 193 additions and 42 deletions
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32
src/cuda.h
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@ -19,19 +19,25 @@ extern int gpu_index;
#include "cudnn.h"
#endif
void check_error(cudaError_t status);
cublasHandle_t blas_handle();
float *cuda_make_array(float *x, size_t n);
int *cuda_make_int_array(size_t n);
void cuda_push_array(float *x_gpu, float *x, size_t n);
void cuda_pull_array(float *x_gpu, float *x, size_t n);
void cuda_set_device(int n);
int cuda_get_device();
void cuda_free(float *x_gpu);
void cuda_random(float *x_gpu, size_t n);
float cuda_compare(float *x_gpu, float *x, size_t n, char *s);
dim3 cuda_gridsize(size_t n);
cudaStream_t get_cuda_stream();
#ifdef __cplusplus
extern "C" {
#endif
void check_error(cudaError_t status);
cublasHandle_t blas_handle();
float *cuda_make_array(float *x, size_t n);
int *cuda_make_int_array(size_t n);
void cuda_push_array(float *x_gpu, float *x, size_t n);
void cuda_pull_array(float *x_gpu, float *x, size_t n);
void cuda_set_device(int n);
int cuda_get_device();
void cuda_free(float *x_gpu);
void cuda_random(float *x_gpu, size_t n);
float cuda_compare(float *x_gpu, float *x, size_t n, char *s);
dim3 cuda_gridsize(size_t n);
cudaStream_t get_cuda_stream();
#ifdef __cplusplus
}
#endif
#ifdef CUDNN
cudnnHandle_t cudnn_handle();