mirror of
https://github.com/blakeblackshear/frigate.git
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103 lines
3.9 KiB
C++
103 lines
3.9 KiB
C++
/*
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* The MIT License (MIT)
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*
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* Copyright (c) 2015-2023 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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/**
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* If static shape input, creates a literal in migraphx.
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* If dynamic shape input, creates a dimensions_of operator in migraphx (runtime evaluation of
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* shape).
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*/
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struct parse_shape : op_parser<parse_shape>
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{
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std::vector<op_desc> operators() const { return {{"Shape"}}; }
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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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if(args.size() != 1)
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MIGRAPHX_THROW("Shape: operator should have 1 operand");
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auto input_shape = args[0]->get_shape();
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int input_ndim = input_shape.ndim();
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std::size_t start = 0;
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std::size_t end = input_ndim;
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// Normalizing the start and end is handled here because of how the static shape version
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// works. Clamping to [-r, r], where r is ndim of input and then making positive.
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auto normalize_ind = [&](int64_t ind) {
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if(ind < (-1 * input_ndim))
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{
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ind = -1 * input_ndim;
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}
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if(ind > input_ndim)
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{
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ind = input_ndim;
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}
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return (ind >= 0) ? ind : input_ndim + ind;
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};
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if(contains(info.attributes, "end"))
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{
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end = normalize_ind(info.attributes.at("end").i());
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}
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if(contains(info.attributes, "start"))
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{
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start = normalize_ind(info.attributes.at("start").i());
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}
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if(end <= start)
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{
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MIGRAPHX_THROW("PARSE_SHAPE: ending axis <= starting axis, end: " +
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std::to_string(end) + " start: " + std::to_string(start));
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}
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if(input_shape.dynamic())
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{
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return info.add_instruction(make_op("dimensions_of", {{"start", start}, {"end", end}}),
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args[0]);
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}
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else
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{
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std::size_t output_ndim = end - start;
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std::vector<int64_t> vec_shape(output_ndim);
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migraphx::shape s(migraphx::shape::int64_type, {output_ndim});
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std::vector<std::size_t> input_lens = input_shape.lens();
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std::transform(input_lens.begin() + start,
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input_lens.begin() + end,
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vec_shape.begin(),
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[](auto i) { return int64_t(i); });
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return info.add_literal(migraphx::literal{s, vec_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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