mirror of
https://github.com/blakeblackshear/frigate.git
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95 lines
3.8 KiB
C++
95 lines
3.8 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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auto compute_type(shape::type_t t1, shape::type_t t2)
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{
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const static std::unordered_map<int, int> op_order = {{shape::int8_type, 1},
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{shape::uint8_type, 2},
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{shape::int16_type, 3},
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{shape::uint16_type, 4},
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{shape::int32_type, 5},
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{shape::uint32_type, 6},
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{shape::int64_type, 7},
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{shape::uint64_type, 8},
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{shape::half_type, 9},
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{shape::float_type, 10},
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{shape::double_type, 11}};
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int it1 = t1;
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int it2 = t2;
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if(not contains(op_order, it1) or not contains(op_order, it2))
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{
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MIGRAPHX_THROW("PARSE_POW: Input data type not supported!");
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}
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return ((op_order.at(it1) >= op_order.at(it2)) ? t1 : t2);
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}
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struct parse_pow : op_parser<parse_pow>
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{
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std::vector<op_desc> operators() const { return {{"Pow"}}; }
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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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auto type_base = args[0]->get_shape().type();
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auto type_exponent = args[1]->get_shape().type();
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auto type_compute = compute_type(type_base, type_exponent);
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if(type_compute != type_base)
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{
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args[0] =
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info.add_instruction(make_op("convert", {{"target_type", type_compute}}), args[0]);
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}
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if(type_compute != type_exponent)
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{
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args[1] =
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info.add_instruction(make_op("convert", {{"target_type", type_compute}}), args[1]);
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}
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auto ret = info.add_broadcastable_binary_op("pow", args[0], args[1]);
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if(type_compute != type_base)
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{
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ret = info.add_instruction(make_op("convert", {{"target_type", type_base}}), 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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