forked from OSchip/llvm-project
156 lines
6.0 KiB
C++
156 lines
6.0 KiB
C++
//===- MlirOptMain.cpp - MLIR Optimizer Driver ----------------------------===//
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//
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// Copyright 2019 The MLIR Authors.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// =============================================================================
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//
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// This is a utility that runs an optimization pass and prints the result back
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// out. It is designed to support unit testing.
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Support/MlirOptMain.h"
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#include "mlir/Analysis/Passes.h"
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#include "mlir/IR/Attributes.h"
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#include "mlir/IR/Diagnostics.h"
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#include "mlir/IR/Location.h"
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#include "mlir/IR/MLIRContext.h"
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#include "mlir/IR/Module.h"
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#include "mlir/Parser.h"
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#include "mlir/Pass/Pass.h"
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#include "mlir/Pass/PassManager.h"
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#include "mlir/Transforms/Passes.h"
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#include "llvm/Support/FileUtilities.h"
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#include "llvm/Support/Regex.h"
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#include "llvm/Support/SourceMgr.h"
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using namespace mlir;
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using namespace llvm;
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using llvm::SMLoc;
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/// Perform the actions on the input file indicated by the command line flags
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/// within the specified context.
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///
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/// This typically parses the main source file, runs zero or more optimization
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/// passes, then prints the output.
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///
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static LogicalResult
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performActions(raw_ostream &os, bool verifyDiagnostics, bool verifyPasses,
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SourceMgr &sourceMgr, MLIRContext *context,
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const std::vector<const mlir::PassRegistryEntry *> &passList) {
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OwningModuleRef module(parseSourceFile(sourceMgr, context));
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if (!module)
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return failure();
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// Apply any pass manager command line options.
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PassManager pm(verifyPasses);
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applyPassManagerCLOptions(pm);
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// Run each of the passes that were selected.
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for (const auto *passEntry : passList)
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passEntry->addToPipeline(pm);
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// Run the pipeline.
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if (failed(pm.run(*module)))
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return failure();
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// Print the output.
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module->print(os);
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return success();
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}
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/// Parses the memory buffer. If successfully, run a series of passes against
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/// it and print the result.
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static LogicalResult
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processBuffer(raw_ostream &os, std::unique_ptr<MemoryBuffer> ownedBuffer,
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bool verifyDiagnostics, bool verifyPasses,
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const std::vector<const mlir::PassRegistryEntry *> &passList) {
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// Tell sourceMgr about this buffer, which is what the parser will pick up.
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SourceMgr sourceMgr;
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sourceMgr.AddNewSourceBuffer(std::move(ownedBuffer), SMLoc());
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// Parse the input file.
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MLIRContext context;
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// If we are in verify diagnostics mode then we have a lot of work to do,
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// otherwise just perform the actions without worrying about it.
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if (!verifyDiagnostics) {
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SourceMgrDiagnosticHandler sourceMgrHandler(sourceMgr, &context);
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return performActions(os, verifyDiagnostics, verifyPasses, sourceMgr,
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&context, passList);
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}
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SourceMgrDiagnosticVerifierHandler sourceMgrHandler(sourceMgr, &context);
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// Do any processing requested by command line flags. We don't care whether
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// these actions succeed or fail, we only care what diagnostics they produce
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// and whether they match our expectations.
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performActions(os, verifyDiagnostics, verifyPasses, sourceMgr, &context,
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passList);
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// Verify the diagnostic handler to make sure that each of the diagnostics
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// matched.
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return sourceMgrHandler.verify();
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}
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/// Split the specified file on a marker and process each chunk independently
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/// according to the normal processBuffer logic. This is primarily used to
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/// allow a large number of small independent parser tests to be put into a
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/// single test, but could be used for other purposes as well.
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static LogicalResult splitAndProcessFile(
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raw_ostream &os, std::unique_ptr<MemoryBuffer> originalBuffer,
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bool verifyDiagnostics, bool verifyPasses,
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const std::vector<const mlir::PassRegistryEntry *> &passList) {
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const char marker[] = "// -----";
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auto *origMemBuffer = originalBuffer.get();
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SmallVector<StringRef, 8> sourceBuffers;
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origMemBuffer->getBuffer().split(sourceBuffers, marker);
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// Add the original buffer to the source manager.
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SourceMgr fileSourceMgr;
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fileSourceMgr.AddNewSourceBuffer(std::move(originalBuffer), SMLoc());
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bool hadUnexpectedResult = false;
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// Process each chunk in turn. If any fails, then return a failure of the
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// tool.
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for (auto &subBuffer : sourceBuffers) {
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auto splitLoc = SMLoc::getFromPointer(subBuffer.data());
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unsigned splitLine = fileSourceMgr.getLineAndColumn(splitLoc).first;
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auto subMemBuffer = MemoryBuffer::getMemBufferCopy(
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subBuffer, origMemBuffer->getBufferIdentifier() +
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Twine(" split at line #") + Twine(splitLine));
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if (failed(processBuffer(os, std::move(subMemBuffer), verifyDiagnostics,
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verifyPasses, passList)))
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hadUnexpectedResult = true;
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}
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return failure(hadUnexpectedResult);
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}
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LogicalResult
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mlir::MlirOptMain(raw_ostream &os, std::unique_ptr<MemoryBuffer> buffer,
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const std::vector<const mlir::PassRegistryEntry *> &passList,
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bool splitInputFile, bool verifyDiagnostics,
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bool verifyPasses) {
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// The split-input-file mode is a very specific mode that slices the file
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// up into small pieces and checks each independently.
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if (splitInputFile)
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return splitAndProcessFile(os, std::move(buffer), verifyDiagnostics,
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verifyPasses, passList);
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return processBuffer(os, std::move(buffer), verifyDiagnostics, verifyPasses,
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passList);
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}
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