|  | // Copyright (c) 2018 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 <algorithm> | 
|  |  | 
|  | #include "reduction_pass.h" | 
|  |  | 
|  | #include "source/opt/build_module.h" | 
|  |  | 
|  | namespace spvtools { | 
|  | namespace reduce { | 
|  |  | 
|  | std::vector<uint32_t> ReductionPass::TryApplyReduction( | 
|  | const std::vector<uint32_t>& binary) { | 
|  | // We represent modules as binaries because (a) attempts at reduction need to | 
|  | // end up in binary form to be passed on to SPIR-V-consuming tools, and (b) | 
|  | // when we apply a reduction step we need to do it on a fresh version of the | 
|  | // module as if the reduction step proves to be uninteresting we need to | 
|  | // backtrack; re-parsing from binary provides a very clean way of cloning the | 
|  | // module. | 
|  | std::unique_ptr<opt::IRContext> context = | 
|  | BuildModule(target_env_, consumer_, binary.data(), binary.size()); | 
|  | assert(context); | 
|  |  | 
|  | std::vector<std::unique_ptr<ReductionOpportunity>> opportunities = | 
|  | GetAvailableOpportunities(context.get()); | 
|  |  | 
|  | if (!is_initialized_) { | 
|  | is_initialized_ = true; | 
|  | index_ = 0; | 
|  | granularity_ = (uint32_t)opportunities.size(); | 
|  | } | 
|  |  | 
|  | if (opportunities.empty()) { | 
|  | granularity_ = 1; | 
|  | return std::vector<uint32_t>(); | 
|  | } | 
|  |  | 
|  | assert(granularity_ > 0); | 
|  |  | 
|  | if (index_ >= opportunities.size()) { | 
|  | index_ = 0; | 
|  | granularity_ = std::max((uint32_t)1, granularity_ / 2); | 
|  | return std::vector<uint32_t>(); | 
|  | } | 
|  |  | 
|  | for (uint32_t i = index_; | 
|  | i < std::min(index_ + granularity_, (uint32_t)opportunities.size()); | 
|  | ++i) { | 
|  | opportunities[i]->TryToApply(); | 
|  | } | 
|  |  | 
|  | index_ += granularity_; | 
|  |  | 
|  | std::vector<uint32_t> result; | 
|  | context->module()->ToBinary(&result, false); | 
|  | return result; | 
|  | } | 
|  |  | 
|  | void ReductionPass::SetMessageConsumer(MessageConsumer consumer) { | 
|  | consumer_ = std::move(consumer); | 
|  | } | 
|  |  | 
|  | bool ReductionPass::ReachedMinimumGranularity() const { | 
|  | if (!is_initialized_) { | 
|  | // Conceptually we can think that if the pass has not yet been initialized, | 
|  | // it is operating at unbounded granularity. | 
|  | return false; | 
|  | } | 
|  | assert(granularity_ != 0); | 
|  | return granularity_ == 1; | 
|  | } | 
|  |  | 
|  | }  // namespace reduce | 
|  | }  // namespace spvtools |