mirror of
https://github.com/blakeblackshear/frigate.git
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83 lines
3.5 KiB
C++
83 lines
3.5 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_spacetodepth : op_parser<parse_spacetodepth>
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{
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std::vector<op_desc> operators() const { return {{"SpaceToDepth"}}; }
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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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// blocksize attribute of SpaceToDepth
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int blocksize = 1; // if blockSize of 1 then, this is a no-op
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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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// blockSize less than 1 would rather result in DepthToSpace instead of SpaceToDepth
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MIGRAPHX_THROW("SpaceToDepth: blocksize is less than 1");
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}
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// calculate dimensions
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auto res_lens = s.lens(); // {N, C, H, W}
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if(((res_lens[2] % blocksize) == 0) and ((res_lens[3] % blocksize) == 0))
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{
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// Co = C * (blocksize ^ 2)
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res_lens[1] = res_lens[1] * blocksize * blocksize;
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// Ho = (H / blocksize)
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res_lens[2] = res_lens[2] / blocksize;
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// Wo = (W / blocksize)
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res_lens[3] = res_lens[3] / blocksize;
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} // res_shape = (N, Co, Ho, Wo)
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else
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MIGRAPHX_THROW("SpaceToDepth: div by blocksize quotient not int ");
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auto trans_lens = s.lens(); // {N, C, H, W}
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trans_lens[2] = res_lens[2];
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trans_lens[3] = blocksize;
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trans_lens.push_back(res_lens[3]);
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trans_lens.push_back(blocksize); // {N, C, Ho, blocksize, Wo, blocksize}
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std::vector<int64_t> perm = {0, 3, 5, 1, 2, 4};
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auto temp1 = info.add_instruction(make_op("reshape", {{"dims", trans_lens}}), 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", res_lens}}), 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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