mirror of
https://github.com/blakeblackshear/frigate.git
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102 lines
4.0 KiB
C++
102 lines
4.0 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_strideslice : op_parser<parse_strideslice>
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{
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std::vector<op_desc> operators() const { return {{"StridedSlice"}}; }
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instruction_ref parse(const op_desc& /*opd*/,
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const tf_parser& /*parser*/,
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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 ends = args[2]->eval().get<int32_t>().to_vector();
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auto l0 = args[0];
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size_t num_axes = l0->get_shape().lens().size();
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std::vector<size_t> axes = l0->get_shape().lens();
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std::vector<int64_t> op_starts(starts.begin(), starts.end());
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std::vector<int64_t> op_ends(ends.begin(), ends.end());
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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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uint32_t begin_mask = 0;
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uint32_t end_mask = 0;
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uint32_t shrink_axis_mask = 0;
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uint32_t bitwise_compare = 1;
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std::vector<int64_t> squeeze_axes;
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if(contains(info.attributes, "begin_mask"))
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begin_mask = static_cast<uint32_t>(info.attributes.at("begin_mask").i());
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if(contains(info.attributes, "end_mask"))
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end_mask = static_cast<uint32_t>(info.attributes.at("end_mask").i());
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if(contains(info.attributes, "shrink_axis_mask"))
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shrink_axis_mask = static_cast<uint32_t>(info.attributes.at("shrink_axis_mask").i());
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std::vector<int64_t> begin_axes = get_axes_from_mask(num_axes, begin_mask);
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std::vector<int64_t> end_axes = get_axes_from_mask(num_axes, end_mask);
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for(size_t i = 0; i < num_axes; i++)
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{
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if(begin_axes.at(i) == 1)
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{
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op_starts.at(i) = 0;
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}
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if(end_axes.at(i) == 1)
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{
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op_ends.at(i) = axes.at(i);
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}
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}
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auto op = make_op("slice", {{"starts", op_starts}, {"ends", op_ends}, {"axes", op_axes}});
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auto l1 = info.add_instruction(op, l0);
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if(shrink_axis_mask == 0)
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return l1;
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for(size_t i = 0; i < num_axes; i++)
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{
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// the LSB corresponds to axis 0 when determining which axes to squeeze
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if(((shrink_axis_mask >> i) & bitwise_compare) == 1)
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squeeze_axes.push_back(i);
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}
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return info.add_instruction(make_op("squeeze", {{"axes", squeeze_axes}}), l1);
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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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