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CUDANet/include/layers/layer.cuh
2024-03-21 23:07:46 +01:00

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#ifndef CUDANET_I_LAYER_H
#define CUDANET_I_LAYER_H
namespace CUDANet::Layers {
/**
* @brief Padding types
*
* SAME: Zero padding such that the output size is the same as the input
* VALID: No padding
*
*/
enum Padding { SAME, VALID };
/**
* @brief Basic Sequential Layer
*
*/
class SequentialLayer {
public:
/**
* @brief Destroy the Sequential Layer
*
*/
virtual ~SequentialLayer() {};
/**
* @brief Forward propagation virtual function
*
* @param input Device pointer to the input
* @return float* Device pointer to the output
*/
virtual float* forward(const float* input) = 0;
};
/**
* @brief Base class for layers with weights and biases
*/
class WeightedLayer : public SequentialLayer {
public:
/**
* @brief Destroy the ILayer object
*
*/
virtual ~WeightedLayer() {};
/**
* @brief Virtual function for forward pass
*
* @param input (Device) Pointer to the input
* @return float* Device pointer to the output
*/
virtual float* forward(const float* input) = 0;
/**
* @brief Virtual function for setting weights
*
* @param weights Pointer to the weights
*/
virtual void setWeights(const float* weights) = 0;
/**
* @brief Virtual function for setting biases
*
* @param biases Pointer to the biases
*/
virtual void setBiases(const float* biases) = 0;
private:
/**
* @brief Initialize the weights
*/
virtual void initializeWeights() = 0;
/**
* @brief Initialize the biases
*/
virtual void initializeBiases() = 0;
/**
* @brief Copy the weights and biases to the device
*/
virtual void toCuda() = 0;
};
} // namespace CUDANet::Layers
#endif // CUDANET_I_LAYERH