mirror of
https://github.com/blakeblackshear/frigate.git
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88 lines
3.6 KiB
C++
88 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/common.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_where : op_parser<parse_where>
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{
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std::vector<op_desc> operators() const { return {{"Where"}}; }
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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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// TODO: broadcasting for dynamic shapes is only implemented
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// for binary ops at time of writing, not ternary ops.
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// When it becomes available, add multibroadcasting steps in the dynamic shape case.
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// For now for dynamic shapes, just insert the Where op. All shapes must be the
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// same for it to succeed.
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if(std::all_of(args.begin(), args.end(), [](auto v) { return v->get_shape().dynamic(); }))
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{
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return info.add_instruction(make_op("where"), args[0], args[1], args[2]);
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}
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else if(std::none_of(
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args.begin(), args.end(), [](auto v) { return v->get_shape().dynamic(); }))
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{
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// If shapes are static and any are broadcasted, insert multibroadcast ops
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auto lens =
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compute_broadcasted_lens(args[0]->get_shape().lens(), args[1]->get_shape().lens());
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lens = compute_broadcasted_lens(lens, args[2]->get_shape().lens());
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if(args[0]->get_shape().lens() != lens)
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{
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args[0] =
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info.add_instruction(make_op("multibroadcast", {{"out_lens", lens}}), args[0]);
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}
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if(args[1]->get_shape().lens() != lens)
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{
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args[1] =
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info.add_instruction(make_op("multibroadcast", {{"out_lens", lens}}), args[1]);
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}
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if(args[2]->get_shape().lens() != lens)
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{
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args[2] =
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info.add_instruction(make_op("multibroadcast", {{"out_lens", lens}}), args[2]);
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}
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return info.add_instruction(make_op("where"), args[0], args[1], args[2]);
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}
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else
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MIGRAPHX_THROW("PARSE_WHERE: doesn't support mixed static and dynamic shape inputs");
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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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