mirror of
https://github.com/blakeblackshear/frigate.git
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83 lines
3.2 KiB
C++
83 lines
3.2 KiB
C++
/*
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* The MIT License (MIT)
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*
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* Copyright (c) 2015-2024 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_shrink : op_parser<parse_shrink>
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{
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std::vector<op_desc> operators() const { return {{"Shrink"}}; }
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instruction_ref parse(const op_desc&,
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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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float bias = 0.0;
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if(contains(info.attributes, "bias"))
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{
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bias = parser.parse_value(info.attributes.at("bias")).at<float>();
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}
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float lambd = 0.5;
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if(contains(info.attributes, "lambd"))
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{
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lambd = parser.parse_value(info.attributes.at("lambd")).at<float>();
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}
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auto x = args[0];
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auto x_shape = x->get_shape();
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auto x_type = x_shape.type();
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auto lit_bias = info.add_literal(bias);
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auto lit_neg_lambd = info.add_literal(-lambd);
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auto lit_lambd = info.add_literal(lambd);
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auto x_plus_bias = info.add_common_op("add", x, lit_bias);
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auto x_min_bias = info.add_common_op("sub", x, lit_bias);
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auto cond1 = info.add_common_op("less", x, lit_neg_lambd);
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auto cond2_a = info.add_common_op("not", cond1);
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auto cond2_b = info.add_common_op("greater", x, lit_lambd);
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auto cond2 = info.add_common_op("logical_and", cond2_a, cond2_b);
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auto first = info.add_common_op("mul", cond1, x_plus_bias);
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auto second = info.add_common_op("mul", cond2, x_min_bias);
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auto ret = info.add_common_op("add", first, second);
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if(ret->get_shape().type() != x_type)
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{
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ret = info.add_instruction(make_op("convert", {{"target_type", x_type}}), ret);
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}
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return ret;
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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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