torch-mlir/tools/npcomp-opt/npcomp-opt.cpp

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//===- npcomp-opt.cpp -------------------------------------------*- C++ -*-===//
//
// This file is licensed under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
#include "mlir/IR/Dialect.h"
#include "mlir/IR/MLIRContext.h"
#include "mlir/InitAllDialects.h"
#include "mlir/InitAllPasses.h"
#include "mlir/Pass/Pass.h"
#include "mlir/Pass/PassManager.h"
#include "mlir/Support/FileUtilities.h"
#include "mlir/Support/MlirOptMain.h"
#include "llvm/Support/CommandLine.h"
#include "llvm/Support/InitLLVM.h"
#include "llvm/Support/SourceMgr.h"
#include "llvm/Support/ToolOutputFile.h"
#include "npcomp/Dialect/Basicpy/BasicpyDialect.h"
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#include "npcomp/Dialect/Numpy/NumpyDialect.h"
static llvm::cl::opt<std::string> inputFilename(llvm::cl::Positional,
llvm::cl::desc("<input file>"),
llvm::cl::init("-"));
static llvm::cl::opt<std::string>
outputFilename("o", llvm::cl::desc("Output filename"),
llvm::cl::value_desc("filename"), llvm::cl::init("-"));
static llvm::cl::opt<bool> splitInputFile(
"split-input-file",
llvm::cl::desc("Split the input file into pieces and process each "
"chunk independently"),
llvm::cl::init(false));
static llvm::cl::opt<bool> verifyDiagnostics(
"verify-diagnostics",
llvm::cl::desc("Check that emitted diagnostics match "
"expected-* lines on the corresponding line"),
llvm::cl::init(false));
static llvm::cl::opt<bool> verifyPasses(
"verify-each",
llvm::cl::desc("Run the verifier after each transformation pass"),
llvm::cl::init(true));
static llvm::cl::opt<bool> allowUnregisteredDialects(
"allow-unregistered-dialect",
llvm::cl::desc("Allow operation with no registered dialects"),
llvm::cl::init(false));
static llvm::cl::opt<bool>
showDialects("show-dialects",
llvm::cl::desc("Print the list of registered dialects"),
llvm::cl::init(false));
int main(int argc, char **argv) {
mlir::registerAllDialects();
mlir::registerAllPasses();
mlir::registerDialect<mlir::NPCOMP::Basicpy::BasicpyDialect>();
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mlir::registerDialect<mlir::NPCOMP::Numpy::NumpyDialect>();
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// TODO: Register standalone passes here.
llvm::InitLLVM y(argc, argv);
// Register any pass manager command line options.
mlir::registerPassManagerCLOptions();
mlir::PassPipelineCLParser passPipeline("", "Compiler passes to run");
// Parse pass names in main to ensure static initialization completed.
llvm::cl::ParseCommandLineOptions(argc, argv,
"MLIR modular optimizer driver\n");
mlir::MLIRContext context;
if (showDialects) {
llvm::outs() << "Registered Dialects:\n";
for (mlir::Dialect *dialect : context.getRegisteredDialects()) {
llvm::outs() << dialect->getNamespace() << "\n";
}
return 0;
}
// Set up the input file.
std::string errorMessage;
auto file = mlir::openInputFile(inputFilename, &errorMessage);
if (!file) {
llvm::errs() << errorMessage << "\n";
return 1;
}
auto output = mlir::openOutputFile(outputFilename, &errorMessage);
if (!output) {
llvm::errs() << errorMessage << "\n";
exit(1);
}
if (failed(MlirOptMain(output->os(), std::move(file), passPipeline,
splitInputFile, verifyDiagnostics, verifyPasses,
allowUnregisteredDialects))) {
return 1;
}
// Keep the output file if the invocation of MlirOptMain was successful.
output->keep();
return 0;
}