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81 lines
3.6 KiB
C++
81 lines
3.6 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/onnx/checks.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_celu : op_parser<parse_celu>
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{
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std::vector<op_desc> operators() const { return {{"Celu"}}; }
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instruction_ref parse(const op_desc&,
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const onnx_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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float alpha = 1.0;
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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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if(float_equal(alpha, 0.0f))
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{
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MIGRAPHX_THROW("CELU: alpha is zero (division by zero)");
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}
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auto input_lens = args[0]->get_shape().lens();
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auto input_type = args[0]->get_shape().type();
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if(input_type != migraphx::shape::float_type)
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{
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MIGRAPHX_THROW("CELU: input tensor not float type");
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}
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auto zero_lit = info.add_instruction(
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migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
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info.add_literal(migraphx::literal{migraphx::shape{input_type}, {0.}}));
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auto one_lit = info.add_instruction(
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migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
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info.add_literal(migraphx::literal{migraphx::shape{input_type}, {1.}}));
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auto alpha_lit = info.add_instruction(
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migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
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info.add_literal(migraphx::literal{migraphx::shape{input_type}, {alpha}}));
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auto linear_part = info.add_instruction(migraphx::make_op("max"), zero_lit, args[0]);
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auto divi = info.add_instruction(migraphx::make_op("div"), args[0], alpha_lit);
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auto expo = info.add_instruction(migraphx::make_op("exp"), divi);
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auto sub = info.add_instruction(migraphx::make_op("sub"), expo, one_lit);
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auto mul = info.add_instruction(migraphx::make_op("mul"), alpha_lit, sub);
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auto exp_part = info.add_instruction(migraphx::make_op("min"), zero_lit, mul);
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return info.add_instruction(migraphx::make_op("add"), linear_part, exp_part);
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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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