| // Copyright (c) 2020 Google LLC |
| // |
| // 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 "source/fuzz/pass_management/repeated_pass_manager_looped_with_recommendations.h" |
| |
| namespace spvtools { |
| namespace fuzz { |
| |
| RepeatedPassManagerLoopedWithRecommendations:: |
| RepeatedPassManagerLoopedWithRecommendations( |
| FuzzerContext* fuzzer_context, RepeatedPassInstances* pass_instances, |
| RepeatedPassRecommender* pass_recommender) |
| : RepeatedPassManager(fuzzer_context, pass_instances), |
| num_transformations_applied_before_last_pass_choice_(0), |
| next_pass_index_(0) { |
| auto& passes = GetPassInstances()->GetPasses(); |
| do { |
| FuzzerPass* current_pass = |
| passes[GetFuzzerContext()->RandomIndex(passes)].get(); |
| pass_loop_.push_back(current_pass); |
| for (auto future_pass : |
| pass_recommender->GetFuturePassRecommendations(*current_pass)) { |
| recommended_pass_indices_.insert( |
| static_cast<uint32_t>(pass_loop_.size())); |
| pass_loop_.push_back(future_pass); |
| } |
| } while (fuzzer_context->ChoosePercentage( |
| fuzzer_context->GetChanceOfAddingAnotherPassToPassLoop())); |
| } |
| |
| RepeatedPassManagerLoopedWithRecommendations:: |
| ~RepeatedPassManagerLoopedWithRecommendations() = default; |
| |
| FuzzerPass* RepeatedPassManagerLoopedWithRecommendations::ChoosePass( |
| const protobufs::TransformationSequence& applied_transformations) { |
| assert((next_pass_index_ > 0 || |
| recommended_pass_indices_.count(next_pass_index_) == 0) && |
| "The first pass in the loop should not be a recommendation."); |
| assert(static_cast<uint32_t>(applied_transformations.transformation_size()) >= |
| num_transformations_applied_before_last_pass_choice_ && |
| "The number of applied transformations should not decrease."); |
| if (num_transformations_applied_before_last_pass_choice_ == |
| static_cast<uint32_t>(applied_transformations.transformation_size())) { |
| // The last pass that was applied did not lead to any new transformations. |
| // We thus do not want to apply recommendations based on it, so we skip on |
| // to the next non-recommended pass. |
| while (recommended_pass_indices_.count(next_pass_index_)) { |
| next_pass_index_ = |
| (next_pass_index_ + 1) % static_cast<uint32_t>(pass_loop_.size()); |
| } |
| } |
| auto result = pass_loop_[next_pass_index_]; |
| next_pass_index_ = |
| (next_pass_index_ + 1) % static_cast<uint32_t>(pass_loop_.size()); |
| return result; |
| } |
| |
| } // namespace fuzz |
| } // namespace spvtools |
