mirror of
https://github.com/blakeblackshear/frigate.git
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86 lines
3.0 KiB
C++
86 lines
3.0 KiB
C++
/*
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* The MIT License (MIT)
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*
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* Copyright (c) 2015-2022 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/tf/op_parser.hpp>
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#include <migraphx/tf/tf_parser.hpp>
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#include <migraphx/instruction.hpp>
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#include <migraphx/ranges.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 tf {
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struct parse_matmul : op_parser<parse_matmul>
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{
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std::vector<op_desc> operators() const
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{
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return {{"BatchMatMul"}, {"BatchMatMulV2"}, {"MatMul"}};
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}
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instruction_ref parse(const op_desc& /*opd*/,
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const tf_parser& /*parser*/,
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tf_parser::node_info info,
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std::vector<instruction_ref> args) const
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{
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bool transa = false;
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bool transb = false;
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if(contains(info.attributes, "transpose_a"))
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{
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transa = info.attributes.at("transpose_a").b();
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}
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if(contains(info.attributes, "transpose_b"))
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{
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transb = info.attributes.at("transpose_b").b();
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}
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if(contains(info.attributes, "adj_x"))
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{
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transa = info.attributes.at("adj_x").b();
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}
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if(contains(info.attributes, "adj_y"))
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{
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transb = info.attributes.at("adj_y").b();
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}
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std::vector<int64_t> perm(args[0]->get_shape().lens().size());
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std::iota(perm.begin(), perm.end(), int64_t{0});
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// swap the last two elements
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std::iter_swap(perm.end() - 1, perm.end() - 2);
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auto l1 = (transa)
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? info.add_instruction(make_op("transpose", {{"permutation", perm}}), args[0])
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: args[0];
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auto l2 = (transb)
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? info.add_instruction(make_op("transpose", {{"permutation", perm}}), args[1])
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: args[1];
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return info.add_instruction(make_op("dot"), l1, l2);
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}
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};
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} // namespace tf
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} // namespace MIGRAPHX_INLINE_NS
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} // namespace migraphx
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