mirror of
https://github.com/lordmathis/CUDANet.git
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91 lines
2.7 KiB
Plaintext
91 lines
2.7 KiB
Plaintext
#pragma once
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#include "backend.hpp"
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#include "tensor.hpp"
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namespace CUDANet::Backend {
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class CUDA : public Backend {
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public:
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// Memory management
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void* allocate(size_t bytes) override;
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void deallocate(void* ptr) override;
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// Tensor ops
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void print(const CUDANet::Tensor& input) override;
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void zero(CUDANet::Tensor& input) override;
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void fill(CUDANet::Tensor &input, int value) override;
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void
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copy_to_device(CUDANet::Tensor& tensor, void* data, size_t size) override;
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void sum(const CUDANet::Tensor& input, CUDANet::Tensor& sum) override;
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void max(const CUDANet::Tensor& input, CUDANet::Tensor& max) override;
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// Layer ops
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void relu(CUDANet::Tensor& tensor) override;
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void sigmoid(CUDANet::Tensor& tensor) override;
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void softmax(
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CUDANet::Tensor& tensor,
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CUDANet::Tensor& temp_max,
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CUDANet::Tensor& temp_sum
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) override;
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CUDANet::Tensor& dense(
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const CUDANet::Tensor& weights,
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const CUDANet::Tensor& biases,
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const CUDANet::Tensor& input,
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CUDANet::Tensor& output,
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const size_t input_size,
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const size_t output_size
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) override;
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CUDANet::Tensor& conv2d(
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const CUDANet::Tensor& weights,
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const CUDANet::Tensor& biases,
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const CUDANet::Tensor& input,
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CUDANet::Tensor& output,
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const CUDANet::Shape in_shape,
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const CUDANet::Shape padding_shape,
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const CUDANet::Shape kernel_shape,
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const CUDANet::Shape stride_shape,
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const CUDANet::Shape out_shape
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) override;
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CUDANet::Tensor& max_pool2d(
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const CUDANet::Tensor& input,
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CUDANet::Tensor& output,
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CUDANet::Shape input_shape,
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CUDANet::Shape pool_shape,
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CUDANet::Shape stride_shape,
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CUDANet::Shape padding_shape,
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CUDANet::Shape output_shape
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) override;
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CUDANet::Tensor& avg_pool2d(
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const CUDANet::Tensor& input,
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CUDANet::Tensor& output,
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CUDANet::Shape input_shape,
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CUDANet::Shape pool_shape,
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CUDANet::Shape stride_shape,
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CUDANet::Shape padding_shape,
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CUDANet::Shape output_shape
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) override;
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CUDANet::Tensor& batch_norm(
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const CUDANet::Tensor& input,
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CUDANet::Tensor& output,
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CUDANet::Shape input_shape,
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CUDANet::Tensor& weights,
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CUDANet::Tensor& biases,
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CUDANet::Tensor& running_mean,
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CUDANet::Tensor& running_var,
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CUDANet::Tensor& epsilon
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) override;
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CUDANet::Tensor& concat(
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CUDANet::Tensor& input_a,
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CUDANet::Tensor& input_b,
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CUDANet::Tensor& output
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) override;
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};
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} // namespace CUDANet::Backend |