MLIRContext allows its users to access directly to the DialectRegistry it contains. While sometimes useful for registering additional dialects on an already existing context, this breaks the encapsulation by essentially giving raw accesses to a part of the context's internal state. Remove this mutable access and instead provide a method to append a given DialectRegistry to the one already contained in the context. Also provide a shortcut mechanism to construct a context from an already existing registry, which seems to be a common use case in the wild. Keep read-only access to the registry contained in the context in case it needs to be copied or used for constructing another context. With this change, DialectRegistry is no longer concerned with loading the dialects and deciding whether to invoke delayed interface registration. Loading is concentrated in the MLIRContext, and the functionality of the registry better reflects its name. Depends On D96137 Reviewed By: mehdi_amini Differential Revision: https://reviews.llvm.org/D96331
257 lines
9.7 KiB
C++
257 lines
9.7 KiB
C++
//===- MlirOptMain.cpp - MLIR Optimizer Driver ----------------------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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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/IR/AsmState.h"
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#include "mlir/IR/Attributes.h"
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#include "mlir/IR/BuiltinOps.h"
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#include "mlir/IR/Diagnostics.h"
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#include "mlir/IR/Dialect.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/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/Support/FileUtilities.h"
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#include "mlir/Support/ToolUtilities.h"
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#include "llvm/Support/CommandLine.h"
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#include "llvm/Support/FileUtilities.h"
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#include "llvm/Support/InitLLVM.h"
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#include "llvm/Support/Regex.h"
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#include "llvm/Support/SourceMgr.h"
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#include "llvm/Support/StringSaver.h"
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#include "llvm/Support/ToolOutputFile.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 performActions(raw_ostream &os, bool verifyDiagnostics,
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bool verifyPasses, SourceMgr &sourceMgr,
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MLIRContext *context,
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const PassPipelineCLParser &passPipeline) {
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// Disable multi-threading when parsing the input file. This removes the
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// unnecessary/costly context synchronization when parsing.
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bool wasThreadingEnabled = context->isMultithreadingEnabled();
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context->disableMultithreading();
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// Parse the input file and reset the context threading state.
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OwningModuleRef module(parseSourceFile(sourceMgr, context));
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context->enableMultithreading(wasThreadingEnabled);
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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(context, OpPassManager::Nesting::Implicit);
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pm.enableVerifier(verifyPasses);
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applyPassManagerCLOptions(pm);
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auto errorHandler = [&](const Twine &msg) {
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emitError(UnknownLoc::get(context)) << msg;
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return failure();
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};
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// Build the provided pipeline.
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if (failed(passPipeline.addToPipeline(pm, errorHandler)))
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return failure();
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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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os << '\n';
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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 processBuffer(raw_ostream &os,
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std::unique_ptr<MemoryBuffer> ownedBuffer,
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bool verifyDiagnostics, bool verifyPasses,
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bool allowUnregisteredDialects,
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bool preloadDialectsInContext,
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const PassPipelineCLParser &passPipeline,
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DialectRegistry ®istry) {
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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(registry);
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if (preloadDialectsInContext)
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context.loadAllAvailableDialects();
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context.allowUnregisteredDialects(allowUnregisteredDialects);
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context.printOpOnDiagnostic(!verifyDiagnostics);
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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, passPipeline);
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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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(void)performActions(os, verifyDiagnostics, verifyPasses, sourceMgr, &context,
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passPipeline);
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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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LogicalResult mlir::MlirOptMain(raw_ostream &outputStream,
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std::unique_ptr<MemoryBuffer> buffer,
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const PassPipelineCLParser &passPipeline,
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DialectRegistry ®istry, bool splitInputFile,
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bool verifyDiagnostics, bool verifyPasses,
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bool allowUnregisteredDialects,
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bool preloadDialectsInContext) {
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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 splitAndProcessBuffer(
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std::move(buffer),
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[&](std::unique_ptr<MemoryBuffer> chunkBuffer, raw_ostream &os) {
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return processBuffer(os, std::move(chunkBuffer), verifyDiagnostics,
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verifyPasses, allowUnregisteredDialects,
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preloadDialectsInContext, passPipeline,
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registry);
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},
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outputStream);
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return processBuffer(outputStream, std::move(buffer), verifyDiagnostics,
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verifyPasses, allowUnregisteredDialects,
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preloadDialectsInContext, passPipeline, registry);
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}
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LogicalResult mlir::MlirOptMain(int argc, char **argv, llvm::StringRef toolName,
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DialectRegistry ®istry,
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bool preloadDialectsInContext) {
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static cl::opt<std::string> inputFilename(
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cl::Positional, cl::desc("<input file>"), cl::init("-"));
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static cl::opt<std::string> outputFilename("o", cl::desc("Output filename"),
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cl::value_desc("filename"),
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cl::init("-"));
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static cl::opt<bool> splitInputFile(
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"split-input-file",
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cl::desc("Split the input file into pieces and process each "
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"chunk independently"),
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cl::init(false));
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static cl::opt<bool> verifyDiagnostics(
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"verify-diagnostics",
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cl::desc("Check that emitted diagnostics match "
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"expected-* lines on the corresponding line"),
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cl::init(false));
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static cl::opt<bool> verifyPasses(
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"verify-each",
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cl::desc("Run the verifier after each transformation pass"),
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cl::init(true));
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static cl::opt<bool> allowUnregisteredDialects(
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"allow-unregistered-dialect",
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cl::desc("Allow operation with no registered dialects"), cl::init(false));
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static cl::opt<bool> showDialects(
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"show-dialects", cl::desc("Print the list of registered dialects"),
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cl::init(false));
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static cl::opt<bool> runRepro(
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"run-reproducer",
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cl::desc("Append the command line options of the reproducer"),
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cl::init(false));
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InitLLVM y(argc, argv);
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// Register any command line options.
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registerAsmPrinterCLOptions();
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registerMLIRContextCLOptions();
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registerPassManagerCLOptions();
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PassPipelineCLParser passPipeline("", "Compiler passes to run");
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// Build the list of dialects as a header for the --help message.
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std::string helpHeader = (toolName + "\nAvailable Dialects: ").str();
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{
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llvm::raw_string_ostream os(helpHeader);
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MLIRContext context;
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interleaveComma(registry.getDialectNames(), os,
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[&](auto name) { os << name; });
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}
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// Parse pass names in main to ensure static initialization completed.
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cl::ParseCommandLineOptions(argc, argv, helpHeader);
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if (showDialects) {
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llvm::outs() << "Available Dialects:\n";
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interleave(
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registry.getDialectNames(), llvm::outs(),
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[](auto name) { llvm::outs() << name; }, "\n");
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return success();
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}
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// Set up the input file.
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std::string errorMessage;
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auto file = openInputFile(inputFilename, &errorMessage);
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if (!file) {
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llvm::errs() << errorMessage << "\n";
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return failure();
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}
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// Parse reproducer options.
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BumpPtrAllocator a;
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StringSaver saver(a);
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if (runRepro) {
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auto pair = file->getBuffer().split('\n');
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if (!pair.first.consume_front("// configuration:")) {
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llvm::errs() << "Failed to find repro configuration, expect file to "
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"begin with '// configuration:'\n";
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return failure();
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}
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// Tokenize & parse the first line.
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SmallVector<const char *, 4> newArgv;
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newArgv.push_back(argv[0]);
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llvm::cl::TokenizeGNUCommandLine(pair.first, saver, newArgv);
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cl::ParseCommandLineOptions(newArgv.size(), &newArgv[0], helpHeader);
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}
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auto output = openOutputFile(outputFilename, &errorMessage);
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if (!output) {
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llvm::errs() << errorMessage << "\n";
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return failure();
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}
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if (failed(MlirOptMain(output->os(), std::move(file), passPipeline, registry,
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splitInputFile, verifyDiagnostics, verifyPasses,
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allowUnregisteredDialects, preloadDialectsInContext)))
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return failure();
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// Keep the output file if the invocation of MlirOptMain was successful.
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output->keep();
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return success();
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}
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