mirror of
https://github.com/blakeblackshear/frigate.git
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84 lines
3.3 KiB
C++
84 lines
3.3 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/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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#include <migraphx/tune_axis.hpp>
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#include <migraphx/onnx/quantize_dequantize_linear.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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struct parse_dequantizelinear : op_parser<parse_dequantizelinear>
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{
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std::vector<op_desc> operators() const { return {{"DequantizeLinear"}}; }
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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() < 2 or args.size() > 3)
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{
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MIGRAPHX_THROW("DequantizeLinear: must have either 2 or 3 inputs, " +
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std::to_string(args.size()) + " inputs provided");
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}
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if(args.size() == 3)
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{
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if(args[0]->get_shape().type() != args[2]->get_shape().type())
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MIGRAPHX_THROW("DequantizeLinear: x and y_zero_point must be of same type");
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if(args[1]->get_shape().lens() != args[2]->get_shape().lens())
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{
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MIGRAPHX_THROW("DequantizeLinear: y_scale and y_zero_point shape mismatch. "
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"Provided y_scale "
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"shape: " +
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to_string_range(args[1]->get_shape().lens()) +
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", provided y_zero_point shape: " +
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to_string_range(args[2]->get_shape().lens()));
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}
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}
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int axis = 1;
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if(contains(info.attributes, "axis"))
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axis = info.attributes.at("axis").i();
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int block_size = 0;
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if(contains(info.attributes, "block_size"))
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block_size = info.attributes.at("block_size").i();
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args = transform_quantize_dequantize_linear_inputs(
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info, opd.onnx_name, block_size, axis, args);
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return info.add_instruction(make_op("dequantizelinear"), args);
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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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