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convolution.hh
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84 lines (71 loc) · 3.03 KB
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/*
Copyright 2024 TensorArray-Creators
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
#include "linear.hh"
#include "layer_utility.hh"
#pragma once
#ifdef _WIN32
#ifdef TENSOR_ARRAY_LAYERS_EXPORTS
#define TENSOR_ARRAY_API __declspec(dllexport)
#else
#define TENSOR_ARRAY_API __declspec(dllimport)
#endif
#else
#define TENSOR_ARRAY_API
#endif
namespace tensor_array
{
namespace layers
{
class TENSOR_ARRAY_API ConvolutionLayerImpl :
public TensorCalculateLayerImpl
{
protected:
const unsigned char dim;
const value::dimension kernel_size;
const unsigned int filter;
const value::dimension strides;
const value::dimension padding;
const value::dimension dilation;
value::Tensor kernel;
value::Tensor bias;
ConvolutionLayerImpl(unsigned char dim, const value::dimension&, unsigned int, const value::dimension & = value::dimension(), const value::dimension& = {0,0,0}, const value::dimension & = value::dimension());
public:
value::Tensor calculate(const value::Tensor&) override final;
};
class TENSOR_ARRAY_API Conv1D_Impl final :
public ConvolutionLayerImpl
{
public:
Conv1D_Impl(const value::dimension&, unsigned int, const value::dimension & = value::dimension(), const value::dimension& = value::dimension());
void layer_init(std::vector<std::pair<std::initializer_list<unsigned int>, const std::type_info&>>&& vector_shape) override;
};
using Conv1D = LayerHolder<Conv1D_Impl>;
class TENSOR_ARRAY_API Conv2D_Impl final :
public ConvolutionLayerImpl
{
public:
Conv2D_Impl(const value::dimension&, unsigned int, const value::dimension & = value::dimension(), const value::dimension& = value::dimension());
void layer_init(std::vector<std::pair<std::initializer_list<unsigned int>, const std::type_info&>>&& vector_shape) override;
};
using Conv2D = LayerHolder<Conv2D_Impl>;
class TENSOR_ARRAY_API Conv3D_Impl final :
public ConvolutionLayerImpl
{
public:
Conv3D_Impl(const value::dimension&, unsigned int, const value::dimension & = value::dimension(), const value::dimension& = value::dimension());
void layer_init(std::vector<std::pair<std::initializer_list<unsigned int>, const std::type_info&>>&& vector_shape) override;
};
using Conv3D = LayerHolder<Conv3D_Impl>;
}
}
#undef TENSOR_ARRAY_API