Add avgPool2d implementation

This commit is contained in:
2025-11-21 19:39:30 +01:00
parent c83e1f0c45
commit 5679dc0a50
7 changed files with 102 additions and 67 deletions

View File

@@ -1,6 +1,6 @@
#include "cuda_helper.cuh"
#include "layer.hpp"
#include "pooling.cuh"
#include "pool.cuh"
using namespace CUDANet;

View File

@@ -135,5 +135,31 @@ CUDANet::Tensor& CUDA::maxPool2d(
CUDA_CHECK(cudaGetLastError());
CUDA_CHECK(cudaDeviceSynchronize());
return output;
}
CUDANet::Tensor& CUDA::avgPool2d(
const CUDANet::Tensor& input,
CUDANet::Tensor& output,
CUDANet::Shape input_shape,
CUDANet::Shape pool_shape,
CUDANet::Shape stride_shape,
CUDANet::Shape padding_shape,
CUDANet::Shape output_shape
) {
dim3 block(8, 8, 8);
dim3 grid(
(output_shape[0] + block.x - 1) / block.x,
(output_shape[1] + block.y - 1) / block.y,
(output_shape[2] + block.z - 1) / block.z
);
Kernels::avg_pool<<<grid, block>>>(
input.data<float>(), output.data<float>(), input_shape, output_shape, pool_shape,
stride_shape, padding_shape
);
CUDA_CHECK(cudaGetLastError());
CUDA_CHECK(cudaDeviceSynchronize());
return output;
}

View File

@@ -1,45 +0,0 @@
#include "avg_pooling.hpp"
#include "cuda_helper.cuh"
#include "pooling.cuh"
using namespace CUDANet::Layers;
void AvgPooling2d::initCUDA() {
d_output = nullptr;
CUDA_CHECK(cudaMalloc(
(void**)&d_output,
sizeof(float) * outputSize.first * outputSize.second * nChannels
));
}
void AvgPooling2d::delCUDA() {
cudaFree(d_output);
}
float* AvgPooling2d::forwardCUDA(const float* d_input) {
dim3 block(8, 8, 8);
dim3 grid(
(outputSize.first + block.x - 1) / block.x,
(outputSize.second + block.y - 1) / block.y,
(nChannels + block.z - 1) / block.z
);
Kernels::avg_pooling<<<grid, block>>>(
d_input, d_output, inputSize, outputSize, nChannels, poolingSize,
stride, padding
);
CUDA_CHECK(cudaGetLastError());
activation->activate(d_output);
CUDA_CHECK(cudaDeviceSynchronize());
return d_output;
}
void AdaptiveAvgPooling2d::initCUDA() {
cudaFree(d_output);
cudaMalloc(
(void**)&d_output,
sizeof(float) * outputSize.first * outputSize.second * nChannels
);
}