Davide Sapienza
49 lines
2.8 KiB
C
49 lines
2.8 KiB
C
#ifndef KERNELS_H
|
|
#define KERNELS_H
|
|
|
|
#include "utils.h"
|
|
|
|
void activationELUForward(dnnType *srcData, dnnType *dstData, int size, cudaStream_t stream = cudaStream_t(0));
|
|
void activationLEAKYForward(dnnType *srcData, dnnType *dstData, int size, cudaStream_t stream = cudaStream_t(0));
|
|
void activationReLUCeilingForward(dnnType *srcData, dnnType *dstData, int size, const float ceiling, cudaStream_t stream = cudaStream_t(0));
|
|
void activationLOGISTICForward(dnnType *srcData, dnnType *dstData, int size, cudaStream_t stream = cudaStream_t(0));
|
|
void activationSIGMOIDForward(dnnType *srcData, dnnType *dstData, int size, cudaStream_t stream = cudaStream_t(0));
|
|
|
|
void fill(dnnType *data, int size, dnnType val, cudaStream_t stream = cudaStream_t(0));
|
|
|
|
void resizeForward(dnnType *srcData, dnnType *dstData, int n, int i_c, int i_h, int i_w,
|
|
int o_c, int o_h, int o_w, cudaStream_t stream = cudaStream_t(0));
|
|
|
|
void reorgForward(dnnType *srcData, dnnType *dstData,
|
|
int n, int c, int h, int w, int stride, cudaStream_t stream = cudaStream_t(0));
|
|
|
|
void MaxPoolingForward(dnnType *srcData, dnnType *dstData, int n, int c, int h, int w, int stride_x, int stride_y, int size, int padding, cudaStream_t stream = cudaStream_t(0));
|
|
|
|
void softmaxForward(float *input, int n, int batch, int batch_offset,
|
|
int groups, int group_offset, int stride, float temp, float *output, cudaStream_t stream = cudaStream_t(0));
|
|
|
|
void shortcutForward(dnnType *srcData, dnnType *dstData, int n1, int c1, int h1, int w1, int s1,
|
|
int n2, int c2, int h2, int w2, int s2,
|
|
cudaStream_t stream = cudaStream_t(0));
|
|
|
|
void upsampleForward(dnnType *srcData, dnnType *dstData,
|
|
int n, int c, int h, int w, int s, int forward, float scale,
|
|
cudaStream_t stream = cudaStream_t(0));
|
|
|
|
void float2half(float *srcData, __half *dstData, int size, const cudaStream_t stream = cudaStream_t(0));
|
|
|
|
void dcnV2CudaForward(cublasStatus_t stat, cublasHandle_t handle,
|
|
float *input, float *weight,
|
|
float *bias, float *ones,
|
|
float *offset, float *mask,
|
|
float *output, float *columns,
|
|
int kernel_h, int kernel_w,
|
|
const int stride_h, const int stride_w,
|
|
const int pad_h, const int pad_w,
|
|
const int dilation_h, const int dilation_w,
|
|
const int deformable_group,
|
|
const int in_n, const int in_c, const int in_h, const int in_w,
|
|
const int out_n, const int out_c, const int out_h, const int out_w,
|
|
const int dst_dim, cudaStream_t stream = cudaStream_t(0));
|
|
#endif //KERNELS_H
|