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//===- GPUToLLVMIRTranslation.cpp - Translate GPU dialect to LLVM IR ------===//
//
// 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
//
//===----------------------------------------------------------------------===//
//
// This file implements a translation between the MLIR GPU dialect and LLVM IR.
//
//===----------------------------------------------------------------------===//
#include "mlir/Target/LLVMIR/Dialect/GPU/GPUToLLVMIRTranslation.h"
#include "mlir/Dialect/GPU/IR/GPUDialect.h"
#include "mlir/Target/LLVMIR/LLVMTranslationInterface.h"
#include "llvm/ADT/TypeSwitch.h"
using namespace mlir;
namespace {
LogicalResult launchKernel(gpu::LaunchFuncOp launchOp,
llvm::IRBuilderBase &builder,
LLVM::ModuleTranslation &moduleTranslation) {
auto kernelBinary = SymbolTable::lookupNearestSymbolFrom<gpu::BinaryOp>(
launchOp, launchOp.getKernelModuleName());
if (!kernelBinary) {
launchOp.emitError("Couldn't find the binary holding the kernel: ")
<< launchOp.getKernelModuleName();
return failure();
}
auto offloadingHandler =
dyn_cast<gpu::OffloadingLLVMTranslationAttrInterface>(
kernelBinary.getOffloadingHandlerAttr());
assert(offloadingHandler && "Invalid offloading handler.");
return offloadingHandler.launchKernel(launchOp, kernelBinary, builder,
moduleTranslation);
}
class GPUDialectLLVMIRTranslationInterface
: public LLVMTranslationDialectInterface {
public:
using LLVMTranslationDialectInterface::LLVMTranslationDialectInterface;
LogicalResult
convertOperation(Operation *operation, llvm::IRBuilderBase &builder,
LLVM::ModuleTranslation &moduleTranslation) const override {
return llvm::TypeSwitch<Operation *, LogicalResult>(operation)
.Case([&](gpu::GPUModuleOp) { return success(); })
.Case([&](gpu::BinaryOp op) {
auto offloadingHandler =
dyn_cast<gpu::OffloadingLLVMTranslationAttrInterface>(
op.getOffloadingHandlerAttr());
assert(offloadingHandler && "Invalid offloading handler.");
return offloadingHandler.embedBinary(op, builder, moduleTranslation);
})
.Case([&](gpu::LaunchFuncOp op) {
return launchKernel(op, builder, moduleTranslation);
})
.Default([&](Operation *op) {
return op->emitError("unsupported GPU operation: ") << op->getName();
});
}
};
} // namespace
void mlir::registerGPUDialectTranslation(DialectRegistry ®istry) {
registry.insert<gpu::GPUDialect>();
registry.addExtension(+[](MLIRContext *ctx, gpu::GPUDialect *dialect) {
dialect->addInterfaces<GPUDialectLLVMIRTranslationInterface>();
});
}
void mlir::registerGPUDialectTranslation(MLIRContext &context) {
DialectRegistry registry;
registerGPUDialectTranslation(registry);
context.appendDialectRegistry(registry);
}
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