Adds a new mlir-opt test-only pass, -test-spirv-cpu-runner-pipeline, which runs the set of MLIR passes needed for the mlir-spirv-cpu-runner, and removes them from the runner. The tests are changed to invoke mlir-opt with this flag before running the runner. The eventual goal is to move all host/device code generation steps out of the runner, like with some of the other runners. Recommit of17e9752267. It was reverted due to a build failure, but the build failure had in fact already been fixed ine7302319b5.
91 lines
3.2 KiB
C++
91 lines
3.2 KiB
C++
//===- mlir-spirv-cpu-runner.cpp - MLIR SPIR-V Execution on CPU -----------===//
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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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// Main entry point to a command line utility that executes an MLIR file on the
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// CPU by translating MLIR GPU module and host part to LLVM IR before
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// JIT-compiling and executing.
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Dialect/Arith/IR/Arith.h"
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#include "mlir/Dialect/Func/IR/FuncOps.h"
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#include "mlir/Dialect/GPU/IR/GPUDialect.h"
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#include "mlir/Dialect/LLVMIR/LLVMDialect.h"
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#include "mlir/Dialect/MemRef/IR/MemRef.h"
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#include "mlir/Dialect/SPIRV/IR/SPIRVDialect.h"
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#include "mlir/ExecutionEngine/JitRunner.h"
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#include "mlir/ExecutionEngine/OptUtils.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/Target/LLVMIR/Dialect/Builtin/BuiltinToLLVMIRTranslation.h"
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#include "mlir/Target/LLVMIR/Dialect/LLVMIR/LLVMToLLVMIRTranslation.h"
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#include "mlir/Target/LLVMIR/Export.h"
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#include "llvm/IR/LLVMContext.h"
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#include "llvm/IR/Module.h"
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#include "llvm/Linker/Linker.h"
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#include "llvm/Support/InitLLVM.h"
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#include "llvm/Support/TargetSelect.h"
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using namespace mlir;
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/// A utility function that builds llvm::Module from two nested MLIR modules.
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///
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/// module @main {
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/// module @kernel {
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/// // Some ops
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/// }
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/// // Some other ops
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/// }
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///
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/// Each of these two modules is translated to LLVM IR module, then they are
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/// linked together and returned.
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static std::unique_ptr<llvm::Module>
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convertMLIRModule(Operation *op, llvm::LLVMContext &context) {
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auto module = dyn_cast<ModuleOp>(op);
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if (!module)
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return op->emitError("op must be a 'builtin.module"), nullptr;
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// Verify that there is only one nested module.
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auto modules = module.getOps<ModuleOp>();
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if (!llvm::hasSingleElement(modules)) {
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module.emitError("The module must contain exactly one nested module");
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return nullptr;
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}
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// Translate nested module and erase it.
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ModuleOp nested = *modules.begin();
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std::unique_ptr<llvm::Module> kernelModule =
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translateModuleToLLVMIR(nested, context);
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nested.erase();
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std::unique_ptr<llvm::Module> mainModule =
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translateModuleToLLVMIR(module, context);
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llvm::Linker::linkModules(*mainModule, std::move(kernelModule));
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return mainModule;
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}
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int main(int argc, char **argv) {
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llvm::InitLLVM y(argc, argv);
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llvm::InitializeNativeTarget();
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llvm::InitializeNativeTargetAsmPrinter();
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mlir::JitRunnerConfig jitRunnerConfig;
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jitRunnerConfig.llvmModuleBuilder = convertMLIRModule;
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mlir::DialectRegistry registry;
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registry.insert<mlir::arith::ArithDialect, mlir::LLVM::LLVMDialect,
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mlir::gpu::GPUDialect, mlir::spirv::SPIRVDialect,
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mlir::func::FuncDialect, mlir::memref::MemRefDialect>();
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mlir::registerPassManagerCLOptions();
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mlir::registerBuiltinDialectTranslation(registry);
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mlir::registerLLVMDialectTranslation(registry);
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return mlir::JitRunnerMain(argc, argv, registry, jitRunnerConfig);
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}
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