// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #include "paddle/fluid/lite/core/optimizer.h" #include "paddle/fluid/lite/core/mir/io_complement_pass.h" #include "paddle/fluid/lite/core/mir/static_kernel_pick_pass.h" namespace paddle { namespace lite { void Optimizer::SpecifyKernelPickTactic(core::KernelPickFactor factor) { auto* pass = mir::PassManager::Global().LookUp( "static_kernel_pick_pass"); CHECK(pass); *pass->mutable_kernel_pick_factors() = factor; } void Optimizer::RunPasses() { std::vector passes({ "static_kernel_pick_pass", // "variable_place_inference_pass", // "argument_type_display_pass", // "io_complement_pass", // "argument_type_display_pass", // "variable_place_inference_pass", // "argument_type_display_pass", // "io_copy_kernel_pick_pass", // "variable_place_inference_pass", // }); for (auto& pass_type : passes) { LOG(INFO) << ".. running pass " << pass_type; auto* pass = mir::PassManager::Global().LookUp(pass_type); CHECK(pass); if (pass->name() == "io_complement_pass") { auto* _pass = dynamic_cast(pass); _pass->SetValidPlaces(valid_places_); CHECK(!_pass->valid_places().empty()); _pass->Apply(graph_); } else { pass->Apply(graph_); } } // mir::PassManager::Global().Run(graph_); } } // namespace lite } // namespace paddle