/* * The MIT License (MIT) * * Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved. * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to deal * in the Software without restriction, including without limitation the rights * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell * copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in * all copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN * THE SOFTWARE. */ #include #include #include #include #include #include namespace migraphx { inline namespace MIGRAPHX_INLINE_NS { namespace onnx { void cal_auto_padding_size(onnx_parser::node_info info, value& v, const std::vector& k_lens, const std::vector& dilation, const std::vector& in_lens, std::vector& paddings) { size_t kdims = in_lens.size() - 2; assert(k_lens.size() == kdims and dilation.size() == kdims); if(not contains(info.attributes, "auto_pad")) { return; } auto auto_pad = info.attributes["auto_pad"].s(); if(auto_pad.find("SAME") != std::string::npos) { bool is_same_upper = (auto_pad.find("SAME_UPPER") != std::string::npos); paddings.resize(2 * kdims); for(size_t i = 0; i < paddings.size() / 2; i++) { calculate_padding(i, paddings, in_lens[i + 2], v["stride"][i].to(), dilation[i], k_lens[i], is_same_upper); } } } bool is_asym_padding(const std::vector& padding) { assert(padding.size() % 2 == 0); size_t pad_ndims = padding.size() / 2; for(size_t i = 0; i < pad_ndims; i++) { if(padding[i] != padding[i + pad_ndims]) { return true; } } return false; } void check_padding_mode(const onnx_parser::node_info& info, const std::string& op_name) { // ensure pads availabe only when auto_pad is "NOT_SET" if(contains(info.attributes, "pads") and contains(info.attributes, "auto_pad")) { auto s = info.attributes.at("auto_pad").s(); if(to_upper(s) != "NOTSET") { MIGRAPHX_THROW("PARSE_" + op_name + ": auto_pad and padding cannot be specified simultaneously"); } } } static void tune_padding_to_symmetric(int64_t& left, int64_t& right, const int stride, int64_t& s_start) { s_start = 0; if(left > right) { right = left; } else if(left < right) { auto diff = right - left; s_start = (diff + stride - 1) / stride; left = left + s_start * stride; right = left; } } void tune_padding_size(const value& v, std::vector& padding, int count_include_pad, std::vector& s_start) { // maxpooling or count_include_pad is 1, no change is required. if(v.at("mode").to() == op::pooling_mode::max or count_include_pad == 1) { return; } // if padding is symmetric, return directly if(not is_asym_padding(padding)) { return; } // asymmetric padding, make it symmetric std::size_t n_dims = padding.size() / 2; s_start.resize(n_dims); for(std::size_t i = 0; i < n_dims; ++i) { tune_padding_to_symmetric( padding[i], padding[i + n_dims], v.at("stride")[i].to(), s_start[i]); } } void check_asym_padding(const onnx_parser::node_info& info, instruction_ref& ins, const std::vector& padding, value& v, int count_include_pad, float pad_val) { size_t pad_ndims = padding.size() / 2; auto left_pad_it = padding.begin(); auto right_pad_it = left_pad_it + pad_ndims; if(count_include_pad == 1) { std::vector asym_pads{0, 0, 0, 0}; // don't pad N and C // add left pads asym_pads.insert(asym_pads.begin() + 2, left_pad_it, right_pad_it); // add right pads asym_pads.insert(asym_pads.begin() + pad_ndims + 4, right_pad_it, padding.end()); ins = info.add_instruction(make_op("pad", {{"pads", asym_pads}, {"value", pad_val}}), ins); std::vector new_padding(padding.size()); // subtract asym padding originally found from parsing the operator std::transform(padding.begin(), left_pad_it, asym_pads.begin() + 2, new_padding.begin(), std::minus()); std::transform(right_pad_it, padding.end(), asym_pads.begin() + pad_ndims + 4, new_padding.begin() + pad_ndims, std::minus()); v["padding"] = new_padding; } } } // namespace onnx } // namespace MIGRAPHX_INLINE_NS } // namespace migraphx