mirror of
https://github.com/blakeblackshear/frigate.git
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55 lines
2.2 KiB
C++
55 lines
2.2 KiB
C++
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/*
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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/tf/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 tf {
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struct parse_biasadd : op_parser<parse_biasadd>
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{
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bool transpose() const { return true; }
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std::vector<op_desc> operators() const { return {{"BiasAdd"}}; }
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instruction_ref parse(const op_desc& /*opd*/,
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const tf_parser& /*parser*/,
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const tf_parser::node_info& info,
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std::vector<instruction_ref> args) const
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{
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uint64_t axis = 1; // assume output of previous layer is in NCHW (broadcast on channel)
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auto l0 = info.add_instruction(
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make_op("broadcast", {{"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("add"), args[0], l0);
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}
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};
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} // namespace tf
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} // namespace MIGRAPHX_INLINE_NS
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} // namespace migraphx
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