122 lines
4.1 KiB
C++
122 lines
4.1 KiB
C++
/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#include "llvm/Support/CommandLine.h"
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#include "llvm/Support/InitLLVM.h"
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#include "llvm/Support/SourceMgr.h"
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#include "llvm/Support/ToolOutputFile.h"
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#include "mlir-hlo/Dialect/mhlo/IR/register.h"
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#include "mlir-hlo/Dialect/mhlo/transforms/register_passes.h"
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#include "mlir/IR/Dialect.h"
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#include "mlir/IR/MLIRContext.h"
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#include "mlir/InitAllDialects.h"
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#include "mlir/InitAllPasses.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/MlirOptMain.h"
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// NOLINTNEXTLINE
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static llvm::cl::opt<std::string> inputFilename(llvm::cl::Positional,
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llvm::cl::desc("<input file>"),
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llvm::cl::init("-"));
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// NOLINTNEXTLINE
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static llvm::cl::opt<std::string> outputFilename(
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"o", llvm::cl::desc("Output filename"), llvm::cl::value_desc("filename"),
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llvm::cl::init("-"));
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// NOLINTNEXTLINE
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static llvm::cl::opt<bool> splitInputFile(
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"split-input-file",
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llvm::cl::desc("Split the input file into pieces and process each "
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"chunk independently"),
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llvm::cl::init(false));
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// NOLINTNEXTLINE
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static llvm::cl::opt<bool> verifyDiagnostics(
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"verify-diagnostics",
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llvm::cl::desc("Check that emitted diagnostics match "
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"expected-* lines on the corresponding line"),
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llvm::cl::init(false));
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// NOLINTNEXTLINE
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static llvm::cl::opt<bool> verifyPasses(
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"verify-each",
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llvm::cl::desc("Run the verifier after each transformation pass"),
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llvm::cl::init(true));
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// NOLINTNEXTLINE
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static llvm::cl::opt<bool> allowUnregisteredDialects(
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"allow-unregistered-dialect",
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llvm::cl::desc("Allow operation with no registered dialects"),
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llvm::cl::init(false));
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// NOLINTNEXTLINE
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static llvm::cl::opt<bool> showDialects(
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"show-dialects", llvm::cl::desc("Print the list of registered dialects"),
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llvm::cl::init(false));
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int main(int argc, char **argv) {
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mlir::registerAllDialects();
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mlir::registerAllPasses();
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mlir::mhlo::registerAllDialects();
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mlir::mhlo::registerAllMhloPasses();
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mlir::lmhlo::registerAllLmhloPasses();
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llvm::InitLLVM y(argc, argv);
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// Register any pass manager command line options.
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mlir::registerPassManagerCLOptions();
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mlir::PassPipelineCLParser passPipeline("", "Compiler passes to run");
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// Parse pass names in main to ensure static initialization completed.
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llvm::cl::ParseCommandLineOptions(argc, argv,
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"MLIR modular optimizer driver\n");
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if (showDialects) {
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mlir::MLIRContext context;
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llvm::outs() << "Registered Dialects:\n";
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for (mlir::Dialect *dialect : context.getRegisteredDialects()) {
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llvm::outs() << dialect->getNamespace() << "\n";
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}
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return 0;
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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 = mlir::openInputFile(inputFilename, &errorMessage);
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if (!file) {
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llvm::errs() << errorMessage << "\n";
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return 1;
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}
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auto output = mlir::openOutputFile(outputFilename, &errorMessage);
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if (!output) {
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llvm::errs() << errorMessage << "\n";
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exit(1);
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}
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if (failed(MlirOptMain(output->os(), std::move(file), passPipeline,
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splitInputFile, verifyDiagnostics, verifyPasses,
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allowUnregisteredDialects))) {
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return 1;
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}
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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 0;
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}
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