mirror of
https://github.com/blakeblackshear/frigate.git
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85 lines
3.3 KiB
C++
85 lines
3.3 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/onnx/op_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 onnx {
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struct parse_selu : op_parser<parse_selu>
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{
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std::vector<op_desc> operators() const { return {{"Selu"}}; }
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instruction_ref parse(const op_desc& /*opd*/,
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const onnx_parser& /*parser*/,
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onnx_parser::node_info info,
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std::vector<instruction_ref> args) const
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{
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auto type = args[0]->get_shape().type();
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auto lens = args[0]->get_shape().lens();
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float alpha = 1.67326f;
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if(contains(info.attributes, "alpha"))
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{
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alpha = info.attributes.at("alpha").f();
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}
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float gamma = 1.0507f;
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if(contains(info.attributes, "gamma"))
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{
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gamma = info.attributes.at("gamma").f();
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}
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auto l_alpha = info.add_literal({{type, {1}}, {alpha}});
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auto l_gamma = info.add_literal({{type, {1}}, {gamma / 2.0f}});
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if(lens != std::vector<std::size_t>{1})
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{
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l_alpha =
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info.add_instruction(make_op("multibroadcast", {{"out_lens", lens}}), l_alpha);
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l_gamma =
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info.add_instruction(make_op("multibroadcast", {{"out_lens", lens}}), l_gamma);
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}
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auto sign_x = info.add_instruction(make_op("sign"), args[0]);
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auto exp_x = info.add_instruction(make_op("exp"), args[0]);
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auto alpha_ex = info.add_instruction(make_op("mul"), l_alpha, exp_x);
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auto aex_alpha = info.add_instruction(make_op("sub"), alpha_ex, l_alpha);
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auto ins1 = info.add_instruction(make_op("add"), aex_alpha, args[0]);
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auto ins2 = info.add_instruction(make_op("sub"), aex_alpha, args[0]);
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auto sign2 = info.add_instruction(make_op("mul"), sign_x, ins2);
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auto ins_sub = info.add_instruction(make_op("sub"), ins1, sign2);
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return info.add_instruction(make_op("mul"), ins_sub, l_gamma);
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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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