62 lines
1.6 KiB
C++
Executable File
62 lines
1.6 KiB
C++
Executable File
// Copyright 2016, Tobias Hermann.
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// https://github.com/Dobiasd/frugally-deep
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// Distributed under the MIT License.
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// (See accompanying LICENSE file or at
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// https://opensource.org/licenses/MIT)
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#pragma once
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#include "fdeep/layers/layer.hpp"
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#include "fdeep/convolution.hpp"
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#include <fplus/fplus.hpp>
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#include <cassert>
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#include <cstddef>
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#include <string>
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#include <vector>
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namespace fdeep { namespace internal
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{
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// Abstract base class for pooling layers
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class pooling_2d_layer : public layer
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{
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public:
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explicit pooling_2d_layer(const std::string& name,
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const shape2& pool_size, const shape2& strides, padding p,
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bool padding_valid_uses_offset, bool padding_same_uses_offset) :
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layer(name),
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pool_size_(pool_size),
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strides_(strides),
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padding_(p),
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padding_valid_uses_offset_(padding_valid_uses_offset),
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padding_same_uses_offset_(padding_same_uses_offset)
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{
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}
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protected:
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tensor5s apply_impl(const tensor5s& inputs) const override final
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{
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assertion(inputs.size() == 1, "invalid number of input tensors");
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const auto& input = inputs.front();
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return {pool(input)};
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}
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bool use_offset() const
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{
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return
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(padding_ == padding::valid && padding_valid_uses_offset_) ||
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(padding_ == padding::same && padding_same_uses_offset_);
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}
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virtual tensor5 pool(const tensor5& input) const = 0;
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shape2 pool_size_;
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shape2 strides_;
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padding padding_;
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bool padding_valid_uses_offset_;
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bool padding_same_uses_offset_;
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};
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} } // namespace fdeep, namespace internal
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