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CUDANet/include/layers/batch_norm.hpp

56 lines
1.2 KiB
C++

#pragma once
#include "layer.hpp"
namespace CUDANet::Layers {
class BatchNorm2d : public CUDANet::Layer {
public:
BatchNorm2d(CUDANet::Shape input_shape, float epsilon, CUDANet::Backend *backend);
BatchNorm2d(CUDANet::Shape input_shape, float epsilon, CUDANet::DType dtype, CUDANet::Backend *backend);
~BatchNorm2d();
CUDANet::Tensor& forward(CUDANet::Tensor& input) override;
CUDANet::Shape input_shape() override;
CUDANet::Shape output_shape() override;
size_t input_size() override;
size_t output_size() override;
void set_weights(void* input) override;
size_t get_weights_size() override;
void set_biases(void* input) override;
size_t get_biases_size() override;
void set_running_mean(void* input);
size_t get_running_mean_size();
void set_running_var(void* input);
size_t get_running_var_size();
private:
CUDANet::Shape in_shape;
CUDANet::Tensor epsilon;
CUDANet::Tensor running_mean;
CUDANet::Tensor running_var;
CUDANet::Tensor weights;
CUDANet::Tensor biases;
CUDANet::Tensor output;
CUDANet::Backend *backend;
};
} // namespace CUDANet::Layers