mirror of
https://github.com/blakeblackshear/frigate.git
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70 lines
2.8 KiB
C++
70 lines
2.8 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/tf/op_parser.hpp>
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#include <migraphx/tf/tf_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_slice : op_parser<parse_slice>
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{
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std::vector<op_desc> operators() const { return {{"Slice"}}; }
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// Use a literal instruction to replace the shape since output of
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// shape operator are literals in migraphx
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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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auto starts = args[1]->eval().get<int32_t>().to_vector();
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auto size = args[2]->eval().get<int32_t>().to_vector();
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auto axes = args[0]->get_shape().lens();
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size_t num_axes = axes.size();
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std::vector<int64_t> axes_int64(axes.begin(), axes.end());
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std::vector<int64_t> starts_int64(starts.begin(), starts.end());
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std::vector<int64_t> ends(num_axes);
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std::vector<int64_t> op_axes(num_axes);
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std::iota(op_axes.begin(), op_axes.end(), 0);
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for(size_t i = 0; i < num_axes; i++)
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{
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if(size[i] == -1)
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ends[i] = axes_int64[i];
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else
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ends[i] = starts_int64[i] + size[i];
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}
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auto op = make_op("slice", {{"starts", starts_int64}, {"ends", ends}, {"axes", op_axes}});
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return info.add_instruction(op, info.make_contiguous(args[0]));
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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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