95 lines
3.5 KiB
C++
95 lines
3.5 KiB
C++
/****************************************************************************
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*
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* Copyright (c) 2021 Vivante Corporation
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*
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* Permission is hereby granted, free of charge, to any person obtaining a
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* copy of this software and associated documentation files (the "Software"),
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* to deal in the Software without restriction, including without limitation
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* the rights to use, copy, modify, merge, publish, distribute, sublicense,
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* and/or sell copies of the Software, and to permit persons to whom the
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* Software is furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
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* DEALINGS IN THE SOFTWARE.
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*
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*****************************************************************************/
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#ifndef TIM_VX_OPS_DECONV1D_H_
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#define TIM_VX_OPS_DECONV1D_H_
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#include <array>
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#include "tim/vx/operation.h"
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namespace tim {
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namespace vx {
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namespace ops {
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/**
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* ## DeConv1d
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*
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* Performs the transpose of 1-D convolution operation.
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*
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* This operation is sometimes called "deconvolution1d" after Deconvolutional Networks,
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* but is actually the transpose (gradient) of Conv2D rather than an actual deconvolution.
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*
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* - weights : the channel number for weight tensor.
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* - ksize : the length for weight tensor.
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* - padding : AUTO, VALID or SAME.
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* - pad : pad value for each spatial axis.
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* - stride : stride along each spatial axis.
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* - output_padding : specifying the amount of padding along the height and width of
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* the output tensor.
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*/
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class DeConv1d : public Operation {
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public:
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DeConv1d(Graph* graph, PadType pad_type,
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uint32_t stride, uint32_t output_padding, uint32_t group = 1,
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DataLayout input_layout = DataLayout::WHCN,
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DataLayout kernel_layout = DataLayout::WHIcOc);
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DeConv1d(Graph* graph, const std::array<uint32_t, 2>& pad,
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uint32_t stride, uint32_t output_padding, uint32_t group = 1,
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DataLayout input_layout = DataLayout::WHCN,
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DataLayout kernel_layout = DataLayout::WHIcOc);
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DeConv1d(Graph* graph, int32_t oc_count_, PadType pad_type,
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uint32_t ksize,
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uint32_t stride,
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uint32_t output_padding);
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DeConv1d(Graph* graph, int32_t oc_count_, PadType pad_type,
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uint32_t ksize,
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uint32_t stride,
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uint32_t output_padding,
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const std::array<uint32_t, 2>& pad,
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uint32_t group = 1);
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DeConv1d(Graph* graph, PadType pad_type,
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uint32_t stride, uint32_t output_padding,
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const std::array<uint32_t, 2>& pad, uint32_t group,
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DataLayout input_layout, DataLayout kernel_layout);
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std::shared_ptr<Operation> Clone(std::shared_ptr<Graph>& graph) const override;
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protected:
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const uint32_t oc_count_; // output channel count
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const PadType pad_type_;
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const uint32_t ksize_;
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const uint32_t stride_;
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const uint32_t output_padding_;
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const std::array<uint32_t, 2> pad_;
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const uint32_t group_;
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const DataLayout kernel_layout_;
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};
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} // namespace ops
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} // namespace vx
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} // namespace tim
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#endif /* TIM_VX_OPS_DECONV1D_H_ */
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