perseusdg
55 lines
3.2 KiB
C
55 lines
3.2 KiB
C
#ifndef KERNELS_H
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#define KERNELS_H
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#include "utils.h"
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void activationELUForward(dnnType *srcData, dnnType *dstData, int size, cudaStream_t stream = cudaStream_t(0));
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void activationLEAKYForward(dnnType *srcData, dnnType *dstData, int size, float slope, cudaStream_t stream = cudaStream_t(0));
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void activationReLUCeilingForward(dnnType *srcData, dnnType *dstData, int size, const float ceiling, cudaStream_t stream = cudaStream_t(0));
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void activationLOGISTICForward(dnnType *srcData, dnnType *dstData, int size, cudaStream_t stream = cudaStream_t(0));
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void activationSIGMOIDForward(dnnType *srcData, dnnType *dstData, int size, cudaStream_t stream = cudaStream_t(0));
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void activationMishForward(dnnType* srcData, dnnType* dstData, int size, cudaStream_t stream= cudaStream_t(0));
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void fill(dnnType *data, int size, dnnType val, cudaStream_t stream = cudaStream_t(0));
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void resizeForward(dnnType *srcData, dnnType *dstData, int n, int i_c, int i_h, int i_w,
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int o_c, int o_h, int o_w, cudaStream_t stream = cudaStream_t(0));
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void reorgForward(dnnType *srcData, dnnType *dstData,
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int n, int c, int h, int w, int stride, cudaStream_t stream = cudaStream_t(0));
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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));
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void softmaxForward(float *input, int n, int batch, int batch_offset,
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int groups, int group_offset, int stride, float temp, float *output, cudaStream_t stream = cudaStream_t(0));
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void shortcutForward(dnnType *srcData, dnnType *dstData, int n1, int c1, int h1, int w1, int s1,
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int n2, int c2, int h2, int w2, int s2, bool mul,
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cudaStream_t stream = cudaStream_t(0));
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void upsampleForward(dnnType *srcData, dnnType *dstData,
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int n, int c, int h, int w, int s, int forward, float scale,
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cudaStream_t stream = cudaStream_t(0));
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void float2half(float *srcData, __half *dstData, int size, const cudaStream_t stream = cudaStream_t(0));
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void dcnV2CudaForward(cublasStatus_t stat, cublasHandle_t handle,
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float *input, float *weight,
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float *bias, float *ones,
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float *offset, float *mask,
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float *output, float *columns,
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int kernel_h, int kernel_w,
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const int stride_h, const int stride_w,
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const int pad_h, const int pad_w,
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const int dilation_h, const int dilation_w,
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const int deformable_group, const int batch_id,
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const int in_n, const int in_c, const int in_h, const int in_w,
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const int out_n, const int out_c, const int out_h, const int out_w,
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const int dst_dim, cudaStream_t stream = cudaStream_t(0));
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void scalAdd(dnnType* dstData, int size, float alpha, float beta, int inc, cudaStream_t stream = cudaStream_t(0));
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void reflection_pad2d_out_forward(int32_t pad_h,int32_t pad_w,float *srcData,float *dstData,int32_t input_h,int32_t input_w,int32_t plane_dim,int32_t n_batch,cudaStream_t cudaStream = cudaStream_t(0));
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#endif //KERNELS_H
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