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TheRock/compiler/amd-llvm/flang/lib/Optimizer/Transforms/CUDA/CUFLaunchAttachAttr.cpp
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//===-- CUFLaunchAttachAttr.cpp -------------------------------------------===//
//
// 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 "flang/Optimizer/Dialect/CUF/CUFDialect.h"
#include "flang/Optimizer/Dialect/FIROps.h"
#include "flang/Optimizer/Dialect/FIROpsSupport.h"
#include "mlir/Dialect/GPU/IR/GPUDialect.h"
#include "mlir/Pass/Pass.h"
#include "mlir/Transforms/DialectConversion.h"
namespace fir {
#define GEN_PASS_DEF_CUFLAUNCHATTACHATTR
#include "flang/Optimizer/Transforms/Passes.h.inc"
} // namespace fir
using namespace mlir;
namespace {
static constexpr llvm::StringRef cudaKernelInfix = "_cufk_";
class CUFGPUAttachAttrPattern
: public OpRewritePattern<mlir::gpu::LaunchFuncOp> {
using OpRewritePattern<mlir::gpu::LaunchFuncOp>::OpRewritePattern;
LogicalResult matchAndRewrite(mlir::gpu::LaunchFuncOp op,
PatternRewriter &rewriter) const override {
op->setAttr(cuf::getProcAttrName(),
cuf::ProcAttributeAttr::get(op.getContext(),
cuf::ProcAttribute::Global));
return mlir::success();
}
};
struct CUFLaunchAttachAttr
: public fir::impl::CUFLaunchAttachAttrBase<CUFLaunchAttachAttr> {
void runOnOperation() override {
auto *context = &this->getContext();
mlir::RewritePatternSet patterns(context);
patterns.add<CUFGPUAttachAttrPattern>(context);
mlir::ConversionTarget target(*context);
target.addIllegalOp<mlir::gpu::LaunchFuncOp>();
target.addDynamicallyLegalOp<mlir::gpu::LaunchFuncOp>(
[&](mlir::gpu::LaunchFuncOp op) -> bool {
if (op.getKernelName().getValue().contains(cudaKernelInfix)) {
if (op.getOperation()->getAttrOfType<cuf::ProcAttributeAttr>(
cuf::getProcAttrName()))
return true;
return false;
}
return true;
});
if (mlir::failed(mlir::applyPartialConversion(this->getOperation(), target,
std::move(patterns)))) {
mlir::emitError(mlir::UnknownLoc::get(context),
"Pattern conversion failed\n");
this->signalPassFailure();
}
}
};
} // end anonymous namespace