mirror of
https://github.com/blakeblackshear/frigate.git
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116 lines
3.9 KiB
C++
116 lines
3.9 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/onnx_parser.hpp>
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#include <migraphx/onnx/op_parser.hpp>
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#include <iostream>
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#include <fstream>
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#include <unordered_map>
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#include <functional>
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#include <array>
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#include <utility>
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#include <vector>
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#include <migraphx/program.hpp>
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#include <migraphx/onnx.hpp>
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namespace migraphx {
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inline namespace MIGRAPHX_INLINE_NS {
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template <class... Ts>
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program parse_onnx_from(const onnx_options& options, Ts&&... xs)
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{
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onnx::onnx_parser parser;
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parser.external_data_path = options.external_data_path;
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parser.map_input_dims = options.map_input_dims;
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parser.dim_params = options.dim_params;
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parser.map_dyn_input_dims = options.map_dyn_input_dims;
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auto dim_val = options.default_dim_value;
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if(dim_val != 0)
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{
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if(options.default_dyn_dim_value != shape::dynamic_dimension{1, 1})
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{
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MIGRAPHX_THROW("PARSE_ONNX_FROM: both default_dim_value and default_dyn_dim_value"
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"set to non-default value");
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}
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else
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{
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parser.default_dyn_dim_value = {dim_val, dim_val};
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}
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}
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else
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{
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parser.default_dyn_dim_value = options.default_dyn_dim_value;
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}
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if(not options.map_input_dims.empty() and not options.map_dyn_input_dims.empty())
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{
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MIGRAPHX_THROW("PARSE_ONNX_FROM: both map_input_dims and map_dyn_input_dims non-empty, only"
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"one should be used");
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}
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parser.skip_unknown_operators = options.skip_unknown_operators;
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parser.max_loop_iterations = options.max_loop_iterations;
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parser.limit_max_iterations = options.limit_max_iterations;
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parser.use_dyn_output = options.use_dyn_output;
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if(options.print_program_on_error)
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{
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// Log the program when it can't be parsed
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try
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{
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parser.parse_from(std::forward<Ts>(xs)...);
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}
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catch(...)
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{
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std::cerr << parser.prog << std::endl;
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throw;
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}
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}
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else
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{
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parser.parse_from(std::forward<Ts>(xs)...);
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}
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return std::move(parser.prog);
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}
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program parse_onnx(const std::string& name, const onnx_options& options)
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{
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std::fstream input(name.c_str(), std::ios::in | std::ios::binary);
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return parse_onnx_from(options, input, name);
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}
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program parse_onnx_buffer(const std::string& buffer, const onnx_options& options)
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{
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return parse_onnx_from(options, buffer.data(), buffer.size());
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}
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program parse_onnx_buffer(const void* data, std::size_t size, const onnx_options& options)
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{
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return parse_onnx_from(options, data, size);
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}
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std::vector<std::string> get_onnx_operators() { return onnx::get_op_parsers(); }
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} // namespace MIGRAPHX_INLINE_NS
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} // namespace migraphx
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