This function-like operation allows one to define functions that have wrapped LLVM IR function type, in particular variadic functions. The operation was added in parallel to the existing lowering flow, this commit only switches the flow to use it. Using a custom function type makes the LLVM IR dialect type system more consistent and avoids complex conversion rules for functions that previously had to use the built-in function type instead of a wrapped LLVM IR dialect type and perform conversions during the analysis. PiperOrigin-RevId: 273910855
304 lines
11 KiB
C++
304 lines
11 KiB
C++
//===- jit-runner.cpp - MLIR CPU Execution Driver Library -----------------===//
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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 library that provides a shared implementation for command line
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// utilities that execute an MLIR file on the CPU by translating MLIR to LLVM
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// IR before JIT-compiling and executing the latter.
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//
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// The translation can be customized by providing an MLIR to MLIR
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// transformation.
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//===----------------------------------------------------------------------===//
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#include "mlir/Support/JitRunner.h"
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#include "mlir/Dialect/LLVMIR/LLVMDialect.h"
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#include "mlir/ExecutionEngine/ExecutionEngine.h"
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#include "mlir/ExecutionEngine/MemRefUtils.h"
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#include "mlir/ExecutionEngine/OptUtils.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/IR/StandardTypes.h"
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#include "mlir/Parser.h"
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#include "mlir/Support/FileUtilities.h"
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#include "llvm/ADT/STLExtras.h"
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#include "llvm/ExecutionEngine/Orc/JITTargetMachineBuilder.h"
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#include "llvm/IR/IRBuilder.h"
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#include "llvm/IR/LLVMContext.h"
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#include "llvm/IR/LegacyPassNameParser.h"
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#include "llvm/IR/Module.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/SourceMgr.h"
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#include "llvm/Support/StringSaver.h"
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#include "llvm/Support/TargetSelect.h"
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#include "llvm/Support/ToolOutputFile.h"
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#include <numeric>
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using namespace mlir;
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using llvm::Error;
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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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static llvm::cl::opt<std::string>
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mainFuncName("e", llvm::cl::desc("The function to be called"),
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llvm::cl::value_desc("<function name>"),
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llvm::cl::init("main"));
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static llvm::cl::opt<std::string> mainFuncType(
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"entry-point-result",
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llvm::cl::desc("Textual description of the function type to be called"),
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llvm::cl::value_desc("f32 | void"), llvm::cl::init("f32"));
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static llvm::cl::OptionCategory optFlags("opt-like flags");
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// CLI list of pass information
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static llvm::cl::list<const llvm::PassInfo *, bool, llvm::PassNameParser>
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llvmPasses(llvm::cl::desc("LLVM optimizing passes to run"),
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llvm::cl::cat(optFlags));
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// CLI variables for -On options.
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static llvm::cl::opt<bool>
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optO0("O0", llvm::cl::desc("Run opt passes and codegen at O0"),
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llvm::cl::cat(optFlags));
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static llvm::cl::opt<bool>
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optO1("O1", llvm::cl::desc("Run opt passes and codegen at O1"),
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llvm::cl::cat(optFlags));
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static llvm::cl::opt<bool>
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optO2("O2", llvm::cl::desc("Run opt passes and codegen at O2"),
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llvm::cl::cat(optFlags));
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static llvm::cl::opt<bool>
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optO3("O3", llvm::cl::desc("Run opt passes and codegen at O3"),
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llvm::cl::cat(optFlags));
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static llvm::cl::OptionCategory clOptionsCategory("linking options");
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static llvm::cl::list<std::string>
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clSharedLibs("shared-libs", llvm::cl::desc("Libraries to link dynamically"),
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llvm::cl::ZeroOrMore, llvm::cl::MiscFlags::CommaSeparated,
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llvm::cl::cat(clOptionsCategory));
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// CLI variables for debugging.
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static llvm::cl::opt<bool> dumpObjectFile(
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"dump-object-file",
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llvm::cl::desc("Dump JITted-compiled object to file specified with "
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"-object-filename (<input file>.o by default)."));
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static llvm::cl::opt<std::string> objectFilename(
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"object-filename",
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llvm::cl::desc("Dump JITted-compiled object to file <input file>.o"));
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static OwningModuleRef parseMLIRInput(StringRef inputFilename,
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MLIRContext *context) {
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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 nullptr;
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}
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llvm::SourceMgr sourceMgr;
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sourceMgr.AddNewSourceBuffer(std::move(file), llvm::SMLoc());
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return OwningModuleRef(parseSourceFile(sourceMgr, context));
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}
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// Initialize the relevant subsystems of LLVM.
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static void initializeLLVM() {
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llvm::InitializeNativeTarget();
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llvm::InitializeNativeTargetAsmPrinter();
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}
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static inline Error make_string_error(const llvm::Twine &message) {
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return llvm::make_error<llvm::StringError>(message.str(),
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llvm::inconvertibleErrorCode());
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}
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static llvm::Optional<unsigned> getCommandLineOptLevel() {
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llvm::Optional<unsigned> optLevel;
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llvm::SmallVector<std::reference_wrapper<llvm::cl::opt<bool>>, 4> optFlags{
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optO0, optO1, optO2, optO3};
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// Determine if there is an optimization flag present.
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for (unsigned j = 0; j < 4; ++j) {
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auto &flag = optFlags[j].get();
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if (flag) {
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optLevel = j;
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break;
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}
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}
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return optLevel;
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}
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// JIT-compile the given module and run "entryPoint" with "args" as arguments.
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static Error
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compileAndExecute(ModuleOp module, StringRef entryPoint,
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std::function<llvm::Error(llvm::Module *)> transformer,
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void **args) {
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Optional<llvm::CodeGenOpt::Level> jitCodeGenOptLevel;
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if (auto clOptLevel = getCommandLineOptLevel())
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jitCodeGenOptLevel =
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static_cast<llvm::CodeGenOpt::Level>(clOptLevel.getValue());
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SmallVector<StringRef, 4> libs(clSharedLibs.begin(), clSharedLibs.end());
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auto expectedEngine = mlir::ExecutionEngine::create(module, transformer,
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jitCodeGenOptLevel, libs);
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if (!expectedEngine)
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return expectedEngine.takeError();
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auto engine = std::move(*expectedEngine);
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auto expectedFPtr = engine->lookup(entryPoint);
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if (!expectedFPtr)
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return expectedFPtr.takeError();
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if (dumpObjectFile)
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engine->dumpToObjectFile(objectFilename.empty() ? inputFilename + ".o"
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: objectFilename);
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void (*fptr)(void **) = *expectedFPtr;
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(*fptr)(args);
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return Error::success();
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}
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static Error compileAndExecuteVoidFunction(
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ModuleOp module, StringRef entryPoint,
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std::function<llvm::Error(llvm::Module *)> transformer) {
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auto mainFunction = module.lookupSymbol<LLVM::LLVMFuncOp>(entryPoint);
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if (!mainFunction || mainFunction.getBlocks().empty())
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return make_string_error("entry point not found");
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void *empty = nullptr;
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return compileAndExecute(module, entryPoint, transformer, &empty);
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}
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static Error compileAndExecuteSingleFloatReturnFunction(
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ModuleOp module, StringRef entryPoint,
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std::function<llvm::Error(llvm::Module *)> transformer) {
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auto mainFunction = module.lookupSymbol<LLVM::LLVMFuncOp>(entryPoint);
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if (!mainFunction || mainFunction.isExternal())
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return make_string_error("entry point not found");
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if (mainFunction.getType().getFunctionNumParams() != 0)
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return make_string_error("function inputs not supported");
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if (!mainFunction.getType().getFunctionResultType().isFloatTy())
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return make_string_error("only single llvm.f32 function result supported");
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float res;
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struct {
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void *data;
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} data;
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data.data = &res;
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if (auto error =
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compileAndExecute(module, entryPoint, transformer, (void **)&data))
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return error;
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// Intentional printing of the output so we can test.
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llvm::outs() << res << '\n';
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return Error::success();
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}
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// Entry point for all CPU runners. Expects the common argc/argv arguments for
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// standard C++ main functions and an mlirTransformer.
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// The latter is applied after parsing the input into MLIR IR and before passing
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// the MLIR module to the ExecutionEngine.
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int mlir::JitRunnerMain(
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int argc, char **argv,
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llvm::function_ref<LogicalResult(mlir::ModuleOp)> mlirTransformer) {
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llvm::InitLLVM y(argc, argv);
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initializeLLVM();
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mlir::initializeLLVMPasses();
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llvm::cl::ParseCommandLineOptions(argc, argv, "MLIR CPU execution driver\n");
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llvm::Optional<unsigned> optLevel = getCommandLineOptLevel();
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llvm::SmallVector<std::reference_wrapper<llvm::cl::opt<bool>>, 4> optFlags{
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optO0, optO1, optO2, optO3};
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unsigned optCLIPosition = 0;
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// Determine if there is an optimization flag present, and its CLI position
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// (optCLIPosition).
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for (unsigned j = 0; j < 4; ++j) {
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auto &flag = optFlags[j].get();
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if (flag) {
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optCLIPosition = flag.getPosition();
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break;
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}
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}
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// Generate vector of pass information, plus the index at which we should
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// insert any optimization passes in that vector (optPosition).
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llvm::SmallVector<const llvm::PassInfo *, 4> passes;
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unsigned optPosition = 0;
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for (unsigned i = 0, e = llvmPasses.size(); i < e; ++i) {
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passes.push_back(llvmPasses[i]);
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if (optCLIPosition < llvmPasses.getPosition(i)) {
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optPosition = i;
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optCLIPosition = UINT_MAX; // To ensure we never insert again
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}
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}
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MLIRContext context;
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auto m = parseMLIRInput(inputFilename, &context);
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if (!m) {
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llvm::errs() << "could not parse the input IR\n";
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return 1;
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}
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if (mlirTransformer)
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if (failed(mlirTransformer(m.get())))
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return EXIT_FAILURE;
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auto tmBuilderOrError = llvm::orc::JITTargetMachineBuilder::detectHost();
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if (!tmBuilderOrError) {
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llvm::errs() << "Failed to create a JITTargetMachineBuilder for the host\n";
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return EXIT_FAILURE;
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}
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auto tmOrError = tmBuilderOrError->createTargetMachine();
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if (!tmOrError) {
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llvm::errs() << "Failed to create a TargetMachine for the host\n";
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return EXIT_FAILURE;
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}
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auto transformer = mlir::makeLLVMPassesTransformer(
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passes, optLevel, /*targetMachine=*/tmOrError->get(), optPosition);
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// Get the function used to compile and execute the module.
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using CompileAndExecuteFnT = Error (*)(
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ModuleOp, StringRef, std::function<llvm::Error(llvm::Module *)>);
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auto compileAndExecuteFn =
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llvm::StringSwitch<CompileAndExecuteFnT>(mainFuncType.getValue())
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.Case("f32", compileAndExecuteSingleFloatReturnFunction)
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.Case("void", compileAndExecuteVoidFunction)
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.Default(nullptr);
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Error error =
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compileAndExecuteFn
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? compileAndExecuteFn(m.get(), mainFuncName.getValue(), transformer)
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: make_string_error("unsupported function type");
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int exitCode = EXIT_SUCCESS;
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llvm::handleAllErrors(std::move(error),
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[&exitCode](const llvm::ErrorInfoBase &info) {
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llvm::errs() << "Error: ";
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info.log(llvm::errs());
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llvm::errs() << '\n';
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exitCode = EXIT_FAILURE;
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});
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return exitCode;
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}
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