/* * 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 #include #include #include #include #include namespace migraphx { inline namespace MIGRAPHX_INLINE_NS { template std::vector find_lasts(const module& m, Predicate pred) { std::vector result; fix([&](auto self, auto ins) { if(pred(ins)) { result.push_back(ins); return; } for(auto input : ins->inputs()) self(input); })(std::prev(m.end())); return result; } void preserve_output_layout(module& m) { std::vector outputs = find_lasts(m, [](auto ins) { return ins->name() == "convolution" and ins->get_shape().lens().size() == 4; }); for(auto output : outputs) { auto permutation = find_permutation(output->get_shape()); auto layout = m.insert_instruction( std::next(output), make_op("layout", {{"permutation", permutation}}), output); m.replace_instruction(output, layout); } } void transform_convolutions(module& m) { for(auto ins : iterator_for(m)) { if(ins->name() != "convolution") continue; if(ins->get_shape().lens().size() != 4) continue; auto v = ins->get_operator().to_value(); if(v.at("group").to() > 1) continue; auto args = ins->inputs(); std::transform(args.begin(), args.end(), args.begin(), [&](const auto& i) { return m.insert_instruction(ins, make_op("layout", {{"permutation", {0, 2, 3, 1}}}), i); }); auto conv = m.insert_instruction(ins, ins->get_operator(), args); auto c = m.insert_instruction(ins, make_op("contiguous"), conv); m.replace_instruction(ins, c); } } void layout_nhwc::apply(module_pass_manager& mpm) const { module& m = mpm.get_module(); // preserve_output_layout(m); transform_convolutions(m); mpm.run_pass(dead_code_elimination{}); } } // namespace MIGRAPHX_INLINE_NS } // namespace migraphx