a78bd84cf8
Refactoring the conversion from StandardOps/GPU dialect to SPIR-V dialect: 1) Move the SPIRVTypeConversion and SPIRVOpLowering class into SPIR-V dialect. 2) Add header files that expose functions to add patterns for the dialects to SPIR-V lowering, as well as a pass that does the dialect to SPIR-V lowering. 3) Make SPIRVOpLowering derive from OpLowering class. PiperOrigin-RevId: 280486871
127 lines
5.0 KiB
C++
127 lines
5.0 KiB
C++
//===- ConvertGPUToSPIRVPass.cpp - GPU to SPIR-V dialect lowering passes --===//
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//
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// Copyright 2019 The MLIR Authors.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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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/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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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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void runOnModule() override;
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};
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} // namespace
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void GPUToSPIRVPass::runOnModule() {
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auto context = &getContext();
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auto module = getModule();
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SmallVector<Operation *, 4> spirvModules;
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module.walk([&module, &spirvModules](FuncOp funcOp) {
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if (!gpu::GPUDialect::isKernel(funcOp)) {
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return;
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}
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OpBuilder builder(module.getBodyRegion());
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// Create a new spirv::ModuleOp for this function, and clone the
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// function into it.
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// TODO : Generalize this to account for different extensions,
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// capabilities, extended_instruction_sets, other addressing models
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// and memory models.
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auto spvModule = builder.create<spirv::ModuleOp>(
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funcOp.getLoc(),
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builder.getI32IntegerAttr(
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static_cast<int32_t>(spirv::AddressingModel::Logical)),
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builder.getI32IntegerAttr(
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static_cast<int32_t>(spirv::MemoryModel::GLSL450)),
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builder.getStrArrayAttr(
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spirv::stringifyCapability(spirv::Capability::Shader)),
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builder.getStrArrayAttr(spirv::stringifyExtension(
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spirv::Extension::SPV_KHR_storage_buffer_storage_class)));
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// Hardwire the capability to be Shader.
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OpBuilder moduleBuilder(spvModule.getOperation()->getRegion(0));
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moduleBuilder.clone(*funcOp.getOperation());
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spirvModules.push_back(spvModule);
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});
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/// Dialect conversion to lower the functions with the spirv::ModuleOps.
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SPIRVBasicTypeConverter basicTypeConverter;
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SPIRVTypeConverter typeConverter(&basicTypeConverter);
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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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ConversionTarget target(*context);
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target.addLegalDialect<spirv::SPIRVDialect>();
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target.addDynamicallyLegalOp<FuncOp>([&](FuncOp op) {
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// TODO(ravishankarm) : Currently lowering does not support handling
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// function conversion of non-kernel functions. This is to be added.
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// For kernel functions, verify that the signature is void(void).
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return gpu::GPUDialect::isKernel(op) && op.getNumResults() == 0 &&
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op.getNumArguments() == 0;
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});
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if (failed(applyFullConversion(spirvModules, target, patterns,
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&typeConverter))) {
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return signalPassFailure();
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}
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// After the SPIR-V modules have been generated, some finalization is needed
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// for the entry functions. For example, adding spv.EntryPoint op,
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// spv.ExecutionMode op, etc.
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for (auto *spvModule : spirvModules) {
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for (auto op :
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cast<spirv::ModuleOp>(spvModule).getBlock().getOps<FuncOp>()) {
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if (gpu::GPUDialect::isKernel(op)) {
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OpBuilder builder(op.getContext());
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builder.setInsertionPointAfter(op);
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if (failed(spirv::finalizeEntryFunction(op, builder))) {
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return signalPassFailure();
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}
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op.getOperation()->removeAttr(Identifier::get(
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gpu::GPUDialect::getKernelFuncAttrName(), op.getContext()));
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}
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}
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}
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}
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OpPassBase<ModuleOp> *createConvertGPUToSPIRVPass() {
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return new 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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