forked from OSchip/llvm-project
75 lines
2.9 KiB
C++
75 lines
2.9 KiB
C++
//===- ConvertGPUToSPIRVPass.cpp - GPU to SPIR-V dialect lowering passes --===//
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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 file implements a pass to convert a kernel function in the GPU Dialect
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// into a spv.module operation
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Conversion/GPUToSPIRV/ConvertGPUToSPIRVPass.h"
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#include "mlir/Conversion/GPUToSPIRV/ConvertGPUToSPIRV.h"
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#include "mlir/Conversion/StandardToSPIRV/ConvertStandardToSPIRV.h"
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#include "mlir/Dialect/GPU/GPUDialect.h"
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#include "mlir/Dialect/LoopOps/LoopOps.h"
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#include "mlir/Dialect/SPIRV/SPIRVDialect.h"
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#include "mlir/Dialect/SPIRV/SPIRVLowering.h"
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#include "mlir/Dialect/SPIRV/SPIRVOps.h"
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#include "mlir/Pass/Pass.h"
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#include "mlir/Pass/PassRegistry.h"
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using namespace mlir;
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namespace {
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/// Pass to lower GPU Dialect to SPIR-V. The pass only converts the gpu.func ops
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/// inside gpu.module ops. i.e., the function that are referenced in
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/// gpu.launch_func ops. For each such function
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///
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/// 1) Create a spirv::ModuleOp, and clone the function into spirv::ModuleOp
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/// (the original function is still needed by the gpu::LaunchKernelOp, so cannot
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/// replace it).
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///
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/// 2) Lower the body of the spirv::ModuleOp.
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struct GPUToSPIRVPass : public ModulePass<GPUToSPIRVPass> {
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void runOnModule() override;
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};
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} // namespace
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void GPUToSPIRVPass::runOnModule() {
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MLIRContext *context = &getContext();
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ModuleOp module = getModule();
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SmallVector<Operation *, 1> kernelModules;
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OpBuilder builder(context);
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module.walk([&builder, &kernelModules](gpu::GPUModuleOp moduleOp) {
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// For each kernel module (should be only 1 for now, but that is not a
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// requirement here), clone the module for conversion because the
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// gpu.launch function still needs the kernel module.
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builder.setInsertionPoint(moduleOp.getOperation());
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kernelModules.push_back(builder.clone(*moduleOp.getOperation()));
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});
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SPIRVTypeConverter typeConverter;
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OwningRewritePatternList patterns;
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populateGPUToSPIRVPatterns(context, typeConverter, patterns);
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populateStandardToSPIRVPatterns(context, typeConverter, patterns);
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std::unique_ptr<ConversionTarget> target = spirv::SPIRVConversionTarget::get(
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spirv::lookupTargetEnvOrDefault(module), context);
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if (failed(applyFullConversion(kernelModules, *target, patterns,
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&typeConverter))) {
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return signalPassFailure();
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}
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}
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std::unique_ptr<OpPassBase<ModuleOp>> mlir::createConvertGPUToSPIRVPass() {
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return std::make_unique<GPUToSPIRVPass>();
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}
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static PassRegistration<GPUToSPIRVPass>
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pass("convert-gpu-to-spirv", "Convert GPU dialect to SPIR-V dialect");
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