| //===- AddDefaultStatsTestPass.cpp - Testing pass to add default stats ----===// | |
| // | |
| // Copyright 2019 The MLIR Authors. | |
| // | |
| // 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. | |
| // ============================================================================= | |
| // | |
| // This file defines a testing pass to add default statistics nodes to every | |
| // quantization eligible op. Useful for unit testing. | |
| // | |
| //===----------------------------------------------------------------------===// | |
| #include "mlir/Dialect/QuantOps/QuantOps.h" | |
| #include "mlir/Dialect/QuantOps/QuantTypes.h" | |
| #include "mlir/IR/Attributes.h" | |
| #include "mlir/IR/Builders.h" | |
| #include "mlir/Quantizer/Configurations/FxpMathConfig.h" | |
| #include "mlir/Quantizer/Support/Configuration.h" | |
| #include "mlir/Quantizer/Support/ConstraintAnalysisGraph.h" | |
| #include "mlir/Quantizer/Support/ConstraintAnalysisGraphTraits.h" | |
| #include "mlir/Quantizer/Transforms/Passes.h" | |
| #include "mlir/Support/LogicalResult.h" | |
| #include "llvm/Support/GraphWriter.h" | |
| #include "llvm/Support/raw_ostream.h" | |
| using namespace mlir; | |
| using namespace mlir::quantizer; | |
| using namespace mlir::quant; | |
| namespace { | |
| class AddDefaultStatsPass : public FunctionPass<AddDefaultStatsPass> { | |
| public: | |
| AddDefaultStatsPass() = default; | |
| AddDefaultStatsPass(SolverContext &solverContext, | |
| const TargetConfiguration &config) | |
| : explicitSolverContext(&solverContext), explicitConfig(&config) {} | |
| void runOnFunction() override; | |
| void runWithConfig(SolverContext &solverContext, | |
| const TargetConfiguration &config); | |
| private: | |
| SolverContext *explicitSolverContext = nullptr; | |
| const TargetConfiguration *explicitConfig = nullptr; | |
| }; | |
| } // end anonymous namespace | |
| void AddDefaultStatsPass::runOnFunction() { | |
| if (explicitSolverContext && explicitConfig) { | |
| // If explicitly constructed with a config and context. | |
| runWithConfig(*explicitSolverContext, *explicitConfig); | |
| return; | |
| } | |
| // For global pass registration, use defaults. | |
| SolverContext solverContext(*getFunction().getContext()); | |
| auto config = FxpMathTargetConfig::create(solverContext); | |
| runWithConfig(solverContext, *config); | |
| } | |
| void AddDefaultStatsPass::runWithConfig(SolverContext &solverContext, | |
| const TargetConfiguration &config) { | |
| auto func = getFunction(); | |
| // Insert stats for each argument. | |
| for (auto *arg : func.getArguments()) { | |
| if (!config.isHandledType(arg->getType())) | |
| continue; | |
| OpBuilder b(func.getBody()); | |
| APFloat minValue(-1.0f); | |
| APFloat maxValue(1.0f); | |
| ElementsAttr layerStats = DenseFPElementsAttr::get( | |
| b.getTensorType({2}, b.getF32Type()), {minValue, maxValue}); | |
| auto statsOp = | |
| b.create<StatisticsOp>(func.getLoc(), arg, layerStats, nullptr); | |
| arg->replaceAllUsesWith(statsOp); | |
| // StatsOp contained a use to 'arg' so make sure to reset it after replacing | |
| // all of the uses of 'arg'. | |
| statsOp.getOperation()->replaceUsesOfWith(statsOp, arg); | |
| } | |
| // Walk the ops and insert stats. | |
| func.walk([&](Operation *op) { | |
| if (!config.isRequireStatsOp(op)) { | |
| return; | |
| } | |
| assert(op->getNumResults() == 1); | |
| auto originalResult = op->getResult(0); | |
| if (!config.isHandledType(originalResult->getType())) | |
| return; | |
| OpBuilder b(op->getBlock(), ++op->getIterator()); | |
| APFloat minValue(-1.0f); | |
| APFloat maxValue(1.0f); | |
| ElementsAttr layerStats = DenseFPElementsAttr::get( | |
| b.getTensorType({2}, b.getF32Type()), {minValue, maxValue}); | |
| auto statsOp = b.create<StatisticsOp>(op->getLoc(), op->getResult(0), | |
| layerStats, nullptr); | |
| originalResult->replaceAllUsesWith(statsOp); | |
| // StatsOp contained a use to 'op' so make sure to reset it after replacing | |
| // all of the uses of 'op'. | |
| statsOp.getOperation()->replaceUsesOfWith(statsOp, originalResult); | |
| }); | |
| } | |
| FunctionPassBase *mlir::quantizer::createAddDefaultStatsPass() { | |
| return new AddDefaultStatsPass(); | |
| } | |
| static PassRegistration<AddDefaultStatsPass> pass( | |
| "quantizer-add-default-stats-test", | |
| "Adds default (dummy) statistics to all ops that can benefit from " | |
| "runtime statistics. This is meant to help in early stage bootstrapping."); |