mirror of
https://github.com/blakeblackshear/frigate.git
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118 lines
4.3 KiB
C++
118 lines
4.3 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/literal.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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// Use a literal instruction to replace the constantFill operator. In RNN, input shape
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// and value are fixed, so no need to do the actual computation for the constantFill
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// operator
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struct parse_constant_fill : op_parser<parse_constant_fill>
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{
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std::vector<op_desc> operators() const { return {{"ConstantFill"}}; }
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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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int input_as_shape = 0;
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int dtype = 1;
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float value = 0.0f;
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if(contains(info.attributes, "dtype"))
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{
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dtype = parser.parse_value(info.attributes.at("dtype")).at<int>();
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}
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shape::type_t type = get_type(dtype);
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if(contains(info.attributes, "input_as_shape"))
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{
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input_as_shape = parser.parse_value(info.attributes.at("input_as_shape")).at<int>();
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}
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if(contains(info.attributes, "value"))
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{
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value = parser.parse_value(info.attributes.at("value")).at<float>();
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}
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if(contains(info.attributes, "extra_shape"))
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{
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MIGRAPHX_THROW("ConstantFill: cannot handle extra shape attribute");
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}
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if(input_as_shape == 1)
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{
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if(args.size() != 1)
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{
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MIGRAPHX_THROW("ConstantFill: need an input argument as output shape");
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}
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if(contains(info.attributes, "shape"))
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{
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MIGRAPHX_THROW("ConstantFill: cannot set the shape argument and pass in an input "
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"at the same time");
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}
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migraphx::argument in = args[0]->eval();
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check_arg_empty(in, "ConstantFill: dynamic shape is not supported");
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std::vector<std::size_t> dims;
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in.visit([&](auto input) { dims.assign(input.begin(), input.end()); });
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migraphx::shape s(type, dims);
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std::vector<float> values(s.elements(), value);
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return info.add_literal(migraphx::literal(s, values));
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}
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else if(input_as_shape == 0)
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{
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if(not contains(info.attributes, "shape"))
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{
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MIGRAPHX_THROW("ConstantFill: attribute output shape is needed");
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}
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literal ls = parser.parse_value(info.attributes.at("shape"));
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std::vector<std::size_t> dims;
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ls.visit([&](auto s) { dims.assign(s.begin(), s.end()); });
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migraphx::shape s{type, dims};
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std::vector<float> values(s.elements(), value);
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return info.add_literal(migraphx::literal(s, values));
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}
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else
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{
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MIGRAPHX_THROW("ConstantFill: wrong value of attribute input_as_shape");
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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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