308571074c
This is an artifact from merging MLIR into LLVM, the file headers are now aligned with the rest of the project.
94 lines
3.6 KiB
C++
94 lines
3.6 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 those functions
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/// that have the "gpu.kernel" attribute, i.e. those functions that are
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/// referenced in gpu::LaunchKernelOp operations. 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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class GPUToSPIRVPass : public ModulePass<GPUToSPIRVPass> {
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public:
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GPUToSPIRVPass() = default;
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GPUToSPIRVPass(const GPUToSPIRVPass &) {}
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GPUToSPIRVPass(ArrayRef<int64_t> workGroupSize) {
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this->workGroupSize = workGroupSize;
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}
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void runOnModule() override;
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private:
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/// Command line option to specify the workgroup size.
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ListOption<int64_t> workGroupSize{
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*this, "workgroup-size",
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llvm::cl::desc(
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"Workgroup Sizes in the SPIR-V module for x, followed by y, followed "
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"by z dimension of the dispatch (others will be ignored)"),
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llvm::cl::ZeroOrMore, llvm::cl::MiscFlags::CommaSeparated};
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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, workGroupSize);
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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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target->addDynamicallyLegalOp<FuncOp>(
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[&](FuncOp op) { return typeConverter.isSignatureLegal(op.getType()); });
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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>>
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mlir::createConvertGPUToSPIRVPass(ArrayRef<int64_t> workGroupSize) {
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return std::make_unique<GPUToSPIRVPass>(workGroupSize);
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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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