93 lines
3.5 KiB
C++
93 lines
3.5 KiB
C++
/****************************************************************************
|
|
*
|
|
* Copyright (c) 2020-2023 Vivante Corporation
|
|
*
|
|
* Permission is hereby granted, free of charge, to any person obtaining a
|
|
* copy of this software and associated documentation files (the "Software"),
|
|
* to deal in the Software without restriction, including without limitation
|
|
* the rights to use, copy, modify, merge, publish, distribute, sublicense,
|
|
* and/or sell copies of the Software, and to permit persons to whom the
|
|
* Software is furnished to do so, subject to the following conditions:
|
|
*
|
|
* The above copyright notice and this permission notice shall be included in
|
|
* all copies or substantial portions of the Software.
|
|
*
|
|
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
|
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
|
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
|
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
|
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
|
|
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
|
|
* DEALINGS IN THE SOFTWARE.
|
|
*
|
|
*****************************************************************************/
|
|
#ifndef TIM_VX_OPS_DECONV_H_
|
|
#define TIM_VX_OPS_DECONV_H_
|
|
|
|
#include <array>
|
|
|
|
#include "tim/vx/builtin_op.h"
|
|
|
|
namespace tim {
|
|
namespace vx {
|
|
namespace ops {
|
|
|
|
/**
|
|
* ## DeConv2d
|
|
*
|
|
* Performs the transpose of 2-D convolution operation.
|
|
*
|
|
* This operation is sometimes called "deconvolution" after Deconvolutional Networks,
|
|
* but is actually the transpose (gradient) of Conv2D rather than an actual deconvolution.
|
|
*
|
|
* - oc_count_ : the out channel count for weight tensor.
|
|
* - pad_type : SAME, VALID or AUTO.
|
|
* - ksize : the height and width for weight tensor.
|
|
* - padding : AUTO, VALID or SAME.
|
|
* - pad : pad value for each spatial axis.
|
|
* - stride : stride along each spatial axis.
|
|
* - output_padding : specifying the amount of padding along the height and width of
|
|
* the output tensor.
|
|
* - group : the feature count of each group.
|
|
* - input_layout : Layout for input, WHCN by default.
|
|
* - kernel_layout: Layout for kernel, WHIO by default.
|
|
*/
|
|
|
|
class DeConv2d : public BuiltinOp {
|
|
public:
|
|
DeConv2d(Graph* graph, int32_t oc_count_, PadType pad_type,
|
|
const std::array<uint32_t, 2>& ksize,
|
|
const std::array<uint32_t, 2>& stride,
|
|
const std::array<uint32_t, 2>& output_padding,
|
|
DataLayout input_layout = DataLayout::WHCN,
|
|
DataLayout kernel_layout = DataLayout::WHIcOc);
|
|
DeConv2d(Graph* graph, int32_t oc_count_, PadType pad_type,
|
|
const std::array<uint32_t, 2>& ksize,
|
|
const std::array<uint32_t, 2>& stride,
|
|
const std::array<uint32_t, 2>& output_padding,
|
|
const std::array<uint32_t, 4>& pad,
|
|
const uint32_t group = 1,
|
|
DataLayout input_layout = DataLayout::WHCN,
|
|
DataLayout kernel_layout = DataLayout::WHIcOc);
|
|
|
|
DataLayout KernelDataLayout() { return kernel_layout_; }
|
|
|
|
std::shared_ptr<Operation> Clone(std::shared_ptr<Graph>& graph) const override;
|
|
|
|
protected:
|
|
const uint32_t oc_count_;
|
|
const PadType pad_type_;
|
|
const std::array<uint32_t, 2> ksize_;
|
|
const std::array<uint32_t, 2> stride_;
|
|
const std::array<uint32_t, 2> output_padding_;
|
|
const std::array<uint32_t, 4> pad_;
|
|
const uint32_t group_;
|
|
const DataLayout kernel_layout_;
|
|
};
|
|
|
|
} // namespace ops
|
|
} // namespace vx
|
|
} // namespace tim
|
|
|
|
#endif /* TIM_VX_OPS_DECONV_H_ */
|