mirror of
https://github.com/lordmathis/CUDANet.git
synced 2025-11-06 09:44:28 +00:00
52 lines
1.4 KiB
Plaintext
52 lines
1.4 KiB
Plaintext
#ifndef CUDANET_CONVOLUTION_H
|
|
#define CUDANET_CONVOLUTION_H
|
|
|
|
namespace Kernels {
|
|
|
|
/**
|
|
* @brief Kernel that pads the input matrix with zeros
|
|
*
|
|
* @param d_input Device pointer to the input matrix (as vector)
|
|
* @param d_padded Device pointer to the padded matrix (as vector)
|
|
* @param w Width of the input matrix
|
|
* @param h Height of the input matrix
|
|
* @param n Number of input channels
|
|
* @param p Padding size
|
|
*/
|
|
__global__ void padding(
|
|
const float* d_input,
|
|
float* d_padded,
|
|
int w,
|
|
int h,
|
|
int n,
|
|
int p
|
|
);
|
|
|
|
/**
|
|
* @brief Convolution kernel
|
|
*
|
|
* @param d_input Device pointer to the input matrix
|
|
* @param d_kernel Device pointer to the convolution kernel
|
|
* @param d_output Device pointer to the output matrix
|
|
* @param inputSize Width and height of the input matrix
|
|
* @param nChannels Number of channels in the input matrix
|
|
* @param kernelSize Width and height of the convolution kernel
|
|
* @param stride Convolution stride
|
|
* @param nFilters Number of output filters
|
|
* @param outputSize Width and height of the output matrix
|
|
*/
|
|
__global__ void convolution(
|
|
const float* d_input,
|
|
const float* d_kernel,
|
|
float* d_output,
|
|
int inputSize,
|
|
int nChannels,
|
|
int kernelSize,
|
|
int stride,
|
|
int nFilters,
|
|
int outputSize
|
|
);
|
|
|
|
} // namespace Kernels
|
|
|
|
#endif // CUDANET_CONVOLUTION_H |