mirror of
https://github.com/blakeblackshear/frigate.git
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97 lines
3.6 KiB
C++
97 lines
3.6 KiB
C++
/*
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* The MIT License (MIT)
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*
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* Copyright (c) 2015-2023 Advanced Micro Devices, Inc. All rights reserved.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* 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 FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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* THE SOFTWARE.
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*/
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#include <migraphx/onnx/op_parser.hpp>
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#include <migraphx/ranges.hpp>
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#include <migraphx/instruction.hpp>
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#include <migraphx/make_op.hpp>
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namespace migraphx {
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inline namespace MIGRAPHX_INLINE_NS {
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namespace onnx {
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struct parse_depthtospace : op_parser<parse_depthtospace>
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{
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std::vector<op_desc> operators() const { return {{"DepthToSpace"}}; }
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instruction_ref parse(const op_desc& /*opd*/,
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const onnx_parser& /*parser*/,
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const onnx_parser::node_info& info,
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std::vector<instruction_ref> args) const
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{
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auto s = args[0]->get_shape();
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// mode attribute of DepthToSpace
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auto mode = std::string("DCR");
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if(contains(info.attributes, "mode"))
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{
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mode = info.attributes.at("mode").s(); // DCR or CRD?
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}
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// blocksize attribute of DepthToSpace
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int blocksize = 0;
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if(contains(info.attributes, "blocksize"))
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{
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blocksize = info.attributes.at("blocksize").i();
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}
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if(blocksize < 1)
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{
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MIGRAPHX_THROW("DepthToSpace: blocksize is less than 1");
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}
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// calculate dimensions
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auto lens1 = s.lens();
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auto lens2 = s.lens();
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unsigned long divisor = std::pow(blocksize, 2);
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if((lens2[1] % divisor) == 0)
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lens2[1] = lens2[1] / divisor;
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else
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MIGRAPHX_THROW("DepthToSpace: div by blocksize quotient not int ");
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lens1.push_back(lens1[2]);
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lens1.push_back(lens1[3]);
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lens2[2] = lens2[2] * blocksize;
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lens2[3] = lens2[3] * blocksize;
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lens1[2] = blocksize;
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std::vector<int64_t> perm;
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if(mode == "DCR")
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{
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lens1[3] = lens1[1] / divisor;
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lens1[1] = blocksize;
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perm = {0, 3, 4, 1, 5, 2};
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}
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else if(mode == "CRD")
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{
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lens1[1] = lens1[1] / divisor;
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lens1[3] = blocksize;
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perm = {0, 1, 4, 2, 5, 3};
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}
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else
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MIGRAPHX_THROW("DepthToSpace: mode attribute cannot be read.");
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auto temp1 = info.add_instruction(make_op("reshape", {{"dims", lens1}}), args[0]);
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auto temp2 = info.add_instruction(make_op("transpose", {{"permutation", perm}}), temp1);
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return info.add_instruction(make_op("reshape", {{"dims", lens2}}), temp2);
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}
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};
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} // namespace onnx
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} // namespace MIGRAPHX_INLINE_NS
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} // namespace migraphx
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