c25b20c0f6
This dialect contains various structured control flow operaitons, not only loops, reflect this in the name. Drop the Ops suffix for consistency with other dialects. Note that this only moves the files and changes the C++ namespace from 'loop' to 'scf'. The visible IR prefix remains the same and will be updated separately. The conversions will also be updated separately. Differential Revision: https://reviews.llvm.org/D79578
73 lines
2.8 KiB
C++
73 lines
2.8 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 "../PassDetail.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/SCF/SCF.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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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 ConvertGPUToSPIRVBase<GPUToSPIRVPass> {
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void runOnOperation() override;
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};
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} // namespace
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void GPUToSPIRVPass::runOnOperation() {
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MLIRContext *context = &getContext();
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ModuleOp module = getOperation();
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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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auto targetAttr = spirv::lookupTargetEnvOrDefault(module);
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std::unique_ptr<ConversionTarget> target =
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spirv::SPIRVConversionTarget::get(targetAttr);
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SPIRVTypeConverter typeConverter(targetAttr);
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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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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<OperationPass<ModuleOp>> mlir::createConvertGPUToSPIRVPass() {
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return std::make_unique<GPUToSPIRVPass>();
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}
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