50aeeed8a2
We have spv.entry_point_abi for specifying the local workgroup size. It should be decorated onto input gpu.func ops to drive the SPIR-V CodeGen to generate the proper SPIR-V module execution mode. Compared to using command-line options for specifying the configuration, using attributes also has the benefits that 1) we are now able to use different local workgroup for different entry points and 2) the tests contains the configuration directly. Differential Revision: https://reviews.llvm.org/D74012
77 lines
3.0 KiB
C++
77 lines
3.0 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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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>> 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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