mirror of
https://github.com/blakeblackshear/frigate.git
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86 lines
3.3 KiB
C++
86 lines
3.3 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/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_binary_op : op_parser<parse_binary_op>
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{
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std::vector<op_desc> operators() const
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{
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return {{"Add", "add"},
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{"Div", "div"},
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{"And", "logical_and"},
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{"Or", "logical_or"},
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{"Xor", "logical_xor"},
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{"BitwiseAnd", "bitwise_and"},
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{"Mul", "mul"},
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{"PRelu", "prelu"},
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{"Sub", "sub"}};
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}
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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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if(args.size() != 2)
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MIGRAPHX_THROW("binary operators should have 2 operands");
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if(contains(info.attributes, "broadcast") and contains(info.attributes, "axis"))
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{
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uint64_t broadcasted =
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parser.parse_value(info.attributes.at("broadcast")).at<uint64_t>();
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if(broadcasted != 0)
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{
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if(std::any_of(
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args.cbegin(), args.cend(), [](auto a) { return a->get_shape().dynamic(); }))
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{
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MIGRAPHX_THROW(
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"Binary op broadcast attribute not supported for dynamic input shapes");
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}
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uint64_t axis = parser.parse_value(info.attributes.at("axis")).at<uint64_t>();
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auto l = info.add_instruction(
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make_op("broadcast",
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{{"axis", axis}, {"out_lens", args[0]->get_shape().lens()}}),
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args[1]);
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return info.add_instruction(make_op(opd.op_name), args[0], l);
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}
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return info.add_instruction(make_op(opd.op_name), args);
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}
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else
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{
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return info.add_broadcastable_binary_op(opd.op_name, args[0], args[1]);
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}
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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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