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//===- ConvertToSPIRVPass.cpp - MLIR SPIR-V Conversion --------------------===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
#include "mlir/Conversion/ArithToSPIRV/ArithToSPIRV.h"
#include "mlir/Conversion/FuncToSPIRV/FuncToSPIRV.h"
#include "mlir/Conversion/GPUToSPIRV/GPUToSPIRV.h"
#include "mlir/Conversion/IndexToSPIRV/IndexToSPIRV.h"
#include "mlir/Conversion/MemRefToSPIRV/MemRefToSPIRV.h"
#include "mlir/Conversion/SCFToSPIRV/SCFToSPIRV.h"
#include "mlir/Conversion/UBToSPIRV/UBToSPIRV.h"
#include "mlir/Conversion/VectorToSPIRV/VectorToSPIRV.h"
#include "mlir/Dialect/Arith/Transforms/Passes.h"
#include "mlir/Dialect/GPU/IR/GPUDialect.h"
#include "mlir/Dialect/SPIRV/IR/SPIRVAttributes.h"
#include "mlir/Dialect/SPIRV/Transforms/SPIRVConversion.h"
#include "mlir/Dialect/Vector/IR/VectorOps.h"
#include "mlir/Dialect/Vector/Transforms/LoweringPatterns.h"
#include "mlir/Dialect/Vector/Transforms/VectorRewritePatterns.h"
#include "mlir/IR/PatternMatch.h"
#include "mlir/Pass/Pass.h"
#include "mlir/Pass/PassOptions.h"
#include "mlir/Rewrite/FrozenRewritePatternSet.h"
#include "mlir/Transforms/DialectConversion.h"
#include <memory>
#define DEBUG_TYPE "test-convert-to-spirv"
using namespace mlir;
namespace {
/// Map memRef memory space to SPIR-V storage class.
void mapToMemRef(Operation *op, spirv::TargetEnvAttr &targetAttr) {
spirv::TargetEnv targetEnv(targetAttr);
bool targetEnvSupportsKernelCapability =
targetEnv.allows(spirv::Capability::Kernel);
spirv::MemorySpaceToStorageClassMap memorySpaceMap =
targetEnvSupportsKernelCapability
? spirv::mapMemorySpaceToOpenCLStorageClass
: spirv::mapMemorySpaceToVulkanStorageClass;
spirv::MemorySpaceToStorageClassConverter converter(memorySpaceMap);
spirv::convertMemRefTypesAndAttrs(op, converter);
}
/// Populate patterns for each dialect.
void populateConvertToSPIRVPatterns(const SPIRVTypeConverter &typeConverter,
ScfToSPIRVContext &scfToSPIRVContext,
RewritePatternSet &patterns) {
arith::populateCeilFloorDivExpandOpsPatterns(patterns);
arith::populateArithToSPIRVPatterns(typeConverter, patterns);
populateBuiltinFuncToSPIRVPatterns(typeConverter, patterns);
populateFuncToSPIRVPatterns(typeConverter, patterns);
populateGPUToSPIRVPatterns(typeConverter, patterns);
index::populateIndexToSPIRVPatterns(typeConverter, patterns);
populateMemRefToSPIRVPatterns(typeConverter, patterns);
populateVectorToSPIRVPatterns(typeConverter, patterns);
populateSCFToSPIRVPatterns(typeConverter, scfToSPIRVContext, patterns);
ub::populateUBToSPIRVConversionPatterns(typeConverter, patterns);
}
/// A pass to perform the SPIR-V conversion.
struct TestConvertToSPIRVPass final
: PassWrapper<TestConvertToSPIRVPass, OperationPass<>> {
Option<bool> runSignatureConversion{
*this, "run-signature-conversion",
llvm::cl::desc(
"Run function signature conversion to convert vector types"),
llvm::cl::init(true)};
Option<bool> runVectorUnrolling{
*this, "run-vector-unrolling",
llvm::cl::desc(
"Run vector unrolling to convert vector types in function bodies"),
llvm::cl::init(true)};
Option<bool> convertGPUModules{
*this, "convert-gpu-modules",
llvm::cl::desc("Clone and convert GPU modules"), llvm::cl::init(false)};
Option<bool> nestInGPUModule{
*this, "nest-in-gpu-module",
llvm::cl::desc("Put converted SPIR-V module inside the gpu.module "
"instead of alongside it."),
llvm::cl::init(false)};
MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(TestConvertToSPIRVPass)
StringRef getArgument() const final { return "test-convert-to-spirv"; }
StringRef getDescription() const final {
return "Conversion to SPIR-V pass only used for internal tests.";
}
void getDependentDialects(DialectRegistry ®istry) const override {
registry.insert<spirv::SPIRVDialect>();
registry.insert<vector::VectorDialect>();
}
TestConvertToSPIRVPass() = default;
TestConvertToSPIRVPass(bool convertGPUModules, bool nestInGPUModule) {
this->convertGPUModules = convertGPUModules;
this->nestInGPUModule = nestInGPUModule;
};
TestConvertToSPIRVPass(const TestConvertToSPIRVPass &) {}
void runOnOperation() override {
Operation *op = getOperation();
MLIRContext *context = &getContext();
// Unroll vectors in function signatures to native size.
if (runSignatureConversion && failed(spirv::unrollVectorsInSignatures(op)))
return signalPassFailure();
// Unroll vectors in function bodies to native size.
if (runVectorUnrolling && failed(spirv::unrollVectorsInFuncBodies(op)))
return signalPassFailure();
// Generic conversion.
if (!convertGPUModules) {
spirv::TargetEnvAttr targetAttr = spirv::lookupTargetEnvOrDefault(op);
std::unique_ptr<ConversionTarget> target =
SPIRVConversionTarget::get(targetAttr);
SPIRVTypeConverter typeConverter(targetAttr);
RewritePatternSet patterns(context);
ScfToSPIRVContext scfToSPIRVContext;
mapToMemRef(op, targetAttr);
populateConvertToSPIRVPatterns(typeConverter, scfToSPIRVContext,
patterns);
if (failed(applyPartialConversion(op, *target, std::move(patterns))))
return signalPassFailure();
return;
}
// Clone each GPU kernel module for conversion, given that the GPU
// launch op still needs the original GPU kernel module.
SmallVector<Operation *, 1> gpuModules;
OpBuilder builder(context);
op->walk([&](gpu::GPUModuleOp gpuModule) {
if (nestInGPUModule)
builder.setInsertionPointToStart(gpuModule.getBody());
else
builder.setInsertionPoint(gpuModule);
gpuModules.push_back(builder.clone(*gpuModule));
});
// Run conversion for each module independently as they can have
// different TargetEnv attributes.
for (Operation *gpuModule : gpuModules) {
spirv::TargetEnvAttr targetAttr =
spirv::lookupTargetEnvOrDefault(gpuModule);
std::unique_ptr<ConversionTarget> target =
SPIRVConversionTarget::get(targetAttr);
SPIRVTypeConverter typeConverter(targetAttr);
RewritePatternSet patterns(context);
ScfToSPIRVContext scfToSPIRVContext;
mapToMemRef(gpuModule, targetAttr);
populateConvertToSPIRVPatterns(typeConverter, scfToSPIRVContext,
patterns);
if (failed(applyFullConversion(gpuModule, *target, std::move(patterns))))
return signalPassFailure();
}
}
};
} // namespace
namespace mlir::test {
void registerTestConvertToSPIRVPass() {
PassRegistration<TestConvertToSPIRVPass>();
}
std::unique_ptr<Pass> createTestConvertToSPIRVPass(bool convertGPUModules,
bool nestInGPUModule) {
return std::make_unique<TestConvertToSPIRVPass>(convertGPUModules,
nestInGPUModule);
}
} // namespace mlir::test
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