c9223cdbeb
`fir::unwrapInnerType` has the odd behavior of returning an empty type for things like i32, causing BaseBoxType::unwrapInnerType to return a null type for fir.box<i32> which was not intended. Remove the helper, no user really needed the null type behavior, replace its few usage by fir::getFortranElementType and update BaseBoxType::unwrapInnerType to do the intended behavior.
570 lines
23 KiB
C++
570 lines
23 KiB
C++
//===-- CUFOpConversion.cpp -----------------------------------------------===//
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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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#include "flang/Optimizer/Transforms/CUFOpConversion.h"
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#include "flang/Optimizer/Builder/CUFCommon.h"
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#include "flang/Optimizer/Builder/Runtime/CUDA/Descriptor.h"
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#include "flang/Optimizer/Builder/Runtime/RTBuilder.h"
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#include "flang/Optimizer/CodeGen/TypeConverter.h"
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#include "flang/Optimizer/Dialect/CUF/CUFOps.h"
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#include "flang/Optimizer/Dialect/FIRDialect.h"
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#include "flang/Optimizer/Dialect/FIROps.h"
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#include "flang/Optimizer/HLFIR/HLFIROps.h"
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#include "flang/Optimizer/Support/DataLayout.h"
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#include "flang/Optimizer/Transforms/Passes.h"
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#include "flang/Runtime/CUDA/allocatable.h"
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#include "flang/Runtime/CUDA/common.h"
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#include "flang/Runtime/CUDA/descriptor.h"
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#include "flang/Runtime/CUDA/memory.h"
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#include "flang/Runtime/CUDA/pointer.h"
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#include "flang/Runtime/allocatable.h"
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#include "flang/Runtime/allocator-registry-consts.h"
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#include "flang/Support/Fortran.h"
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#include "mlir/Conversion/LLVMCommon/Pattern.h"
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#include "mlir/Dialect/DLTI/DLTI.h"
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#include "mlir/Dialect/GPU/IR/GPUDialect.h"
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#include "mlir/Dialect/OpenACC/OpenACC.h"
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#include "mlir/IR/Matchers.h"
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#include "mlir/Pass/Pass.h"
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#include "mlir/Transforms/DialectConversion.h"
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#include "mlir/Transforms/GreedyPatternRewriteDriver.h"
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namespace fir {
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#define GEN_PASS_DEF_CUFOPCONVERSION
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#include "flang/Optimizer/Transforms/Passes.h.inc"
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} // namespace fir
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using namespace fir;
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using namespace mlir;
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using namespace Fortran::runtime;
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using namespace Fortran::runtime::cuda;
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namespace {
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static bool inDeviceContext(mlir::Operation *op) {
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if (op->getParentOfType<cuf::KernelOp>())
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return true;
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if (op->getParentOfType<mlir::acc::OffloadRegionOpInterface>())
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return true;
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if (auto funcOp = op->getParentOfType<mlir::gpu::GPUFuncOp>())
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return true;
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if (auto funcOp = op->getParentOfType<mlir::func::FuncOp>()) {
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if (auto cudaProcAttr =
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funcOp.getOperation()->getAttrOfType<cuf::ProcAttributeAttr>(
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cuf::getProcAttrName())) {
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return cudaProcAttr.getValue() != cuf::ProcAttribute::Host &&
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cudaProcAttr.getValue() != cuf::ProcAttribute::HostDevice;
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}
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}
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return false;
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}
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static mlir::Value createConvertOp(mlir::PatternRewriter &rewriter,
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mlir::Location loc, mlir::Type toTy,
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mlir::Value val) {
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if (val.getType() != toTy)
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return fir::ConvertOp::create(rewriter, loc, toTy, val);
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return val;
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}
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struct DeclareOpConversion : public mlir::OpRewritePattern<fir::DeclareOp> {
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using OpRewritePattern::OpRewritePattern;
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DeclareOpConversion(mlir::MLIRContext *context,
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const mlir::SymbolTable &symtab)
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: OpRewritePattern(context), symTab{symtab} {}
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mlir::LogicalResult
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matchAndRewrite(fir::DeclareOp op,
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mlir::PatternRewriter &rewriter) const override {
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if (op.getResult().getUsers().empty())
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return success();
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if (auto addrOfOp = op.getMemref().getDefiningOp<fir::AddrOfOp>()) {
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if (inDeviceContext(addrOfOp)) {
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return failure();
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}
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if (auto global = symTab.lookup<fir::GlobalOp>(
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addrOfOp.getSymbol().getRootReference().getValue())) {
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if (cuf::isRegisteredDeviceGlobal(global)) {
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rewriter.setInsertionPointAfter(addrOfOp);
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mlir::Value devAddr = cuf::DeviceAddressOp::create(
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rewriter, op.getLoc(), addrOfOp.getType(), addrOfOp.getSymbol());
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rewriter.startOpModification(op);
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op.getMemrefMutable().assign(devAddr);
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rewriter.finalizeOpModification(op);
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return success();
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}
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}
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}
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return failure();
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}
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private:
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const mlir::SymbolTable &symTab;
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};
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static bool isDstGlobal(cuf::DataTransferOp op) {
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if (auto declareOp = op.getDst().getDefiningOp<fir::DeclareOp>())
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if (declareOp.getMemref().getDefiningOp<fir::AddrOfOp>())
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return true;
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if (auto declareOp = op.getDst().getDefiningOp<hlfir::DeclareOp>())
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if (declareOp.getMemref().getDefiningOp<fir::AddrOfOp>())
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return true;
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return false;
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}
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static mlir::Value getShapeFromDecl(mlir::Value src) {
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if (auto declareOp = src.getDefiningOp<fir::DeclareOp>())
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return declareOp.getShape();
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if (auto declareOp = src.getDefiningOp<hlfir::DeclareOp>())
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return declareOp.getShape();
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return mlir::Value{};
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}
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static mlir::Value emboxSrc(mlir::PatternRewriter &rewriter,
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cuf::DataTransferOp op,
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const mlir::SymbolTable &symtab,
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mlir::Type dstEleTy = nullptr) {
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auto mod = op->getParentOfType<mlir::ModuleOp>();
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mlir::Location loc = op.getLoc();
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fir::FirOpBuilder builder(rewriter, mod);
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mlir::Value addr;
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mlir::Type srcTy = fir::unwrapRefType(op.getSrc().getType());
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if (fir::isa_trivial(srcTy) &&
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mlir::matchPattern(op.getSrc().getDefiningOp(), mlir::m_Constant())) {
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mlir::Value src = op.getSrc();
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if (srcTy.isInteger(1)) {
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// i1 is not a supported type in the descriptor and it is actually coming
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// from a LOGICAL constant. Use the destination type to avoid mismatch.
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assert(dstEleTy && "expect dst element type to be set");
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srcTy = dstEleTy;
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src = createConvertOp(rewriter, loc, srcTy, src);
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addr = builder.createTemporary(loc, srcTy);
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fir::StoreOp::create(builder, loc, src, addr);
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} else {
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if (dstEleTy && fir::isa_trivial(dstEleTy) && srcTy != dstEleTy) {
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// Use dstEleTy and convert to avoid assign mismatch.
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addr = builder.createTemporary(loc, dstEleTy);
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auto conv = fir::ConvertOp::create(builder, loc, dstEleTy, src);
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fir::StoreOp::create(builder, loc, conv, addr);
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srcTy = dstEleTy;
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} else {
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// Put constant in memory if it is not.
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addr = builder.createTemporary(loc, srcTy);
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fir::StoreOp::create(builder, loc, src, addr);
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}
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}
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} else {
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addr = op.getSrc();
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}
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llvm::SmallVector<mlir::Value> lenParams;
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mlir::Type boxTy = fir::BoxType::get(srcTy);
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mlir::Value box =
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builder.createBox(loc, boxTy, addr, getShapeFromDecl(op.getSrc()),
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/*slice=*/nullptr, lenParams,
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/*tdesc=*/nullptr);
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mlir::Value src = builder.createTemporary(loc, box.getType());
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fir::StoreOp::create(builder, loc, box, src);
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return src;
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}
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static mlir::Value emboxDst(mlir::PatternRewriter &rewriter,
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cuf::DataTransferOp op,
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const mlir::SymbolTable &symtab) {
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auto mod = op->getParentOfType<mlir::ModuleOp>();
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mlir::Location loc = op.getLoc();
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fir::FirOpBuilder builder(rewriter, mod);
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mlir::Type dstTy = fir::unwrapRefType(op.getDst().getType());
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mlir::Value dstAddr = op.getDst();
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mlir::Type dstBoxTy = fir::BoxType::get(dstTy);
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llvm::SmallVector<mlir::Value> lenParams;
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mlir::Value dstBox =
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builder.createBox(loc, dstBoxTy, dstAddr, getShapeFromDecl(op.getDst()),
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/*slice=*/nullptr, lenParams,
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/*tdesc=*/nullptr);
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mlir::Value dst = builder.createTemporary(loc, dstBox.getType());
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fir::StoreOp::create(builder, loc, dstBox, dst);
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return dst;
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}
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struct CUFDataTransferOpConversion
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: public mlir::OpRewritePattern<cuf::DataTransferOp> {
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using OpRewritePattern::OpRewritePattern;
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CUFDataTransferOpConversion(mlir::MLIRContext *context,
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const mlir::SymbolTable &symtab,
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mlir::DataLayout *dl,
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const fir::LLVMTypeConverter *typeConverter)
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: OpRewritePattern(context), symtab{symtab}, dl{dl},
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typeConverter{typeConverter} {}
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mlir::LogicalResult
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matchAndRewrite(cuf::DataTransferOp op,
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mlir::PatternRewriter &rewriter) const override {
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mlir::Type srcTy = fir::unwrapRefType(op.getSrc().getType());
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mlir::Type dstTy = fir::unwrapRefType(op.getDst().getType());
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mlir::Location loc = op.getLoc();
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unsigned mode = 0;
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if (op.getTransferKind() == cuf::DataTransferKind::HostDevice) {
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mode = kHostToDevice;
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} else if (op.getTransferKind() == cuf::DataTransferKind::DeviceHost) {
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mode = kDeviceToHost;
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} else if (op.getTransferKind() == cuf::DataTransferKind::DeviceDevice) {
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mode = kDeviceToDevice;
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} else {
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mlir::emitError(loc, "unsupported transfer kind\n");
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}
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auto mod = op->getParentOfType<mlir::ModuleOp>();
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fir::FirOpBuilder builder(rewriter, mod);
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fir::KindMapping kindMap{fir::getKindMapping(mod)};
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mlir::Value modeValue =
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builder.createIntegerConstant(loc, builder.getI32Type(), mode);
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// Convert data transfer without any descriptor.
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if (!mlir::isa<fir::BaseBoxType>(srcTy) &&
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!mlir::isa<fir::BaseBoxType>(dstTy)) {
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if (fir::isa_trivial(srcTy) && !fir::isa_trivial(dstTy)) {
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// Initialization of an array from a scalar value should be implemented
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// via a kernel launch. Use the flang runtime via the Assign function
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// until we have more infrastructure.
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mlir::Type dstEleTy = fir::getFortranElementType(dstTy);
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mlir::Value src = emboxSrc(rewriter, op, symtab, dstEleTy);
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mlir::Value dst = emboxDst(rewriter, op, symtab);
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mlir::func::FuncOp func =
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fir::runtime::getRuntimeFunc<mkRTKey(CUFDataTransferCstDesc)>(
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loc, builder);
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auto fTy = func.getFunctionType();
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mlir::Value sourceFile = fir::factory::locationToFilename(builder, loc);
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mlir::Value sourceLine =
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fir::factory::locationToLineNo(builder, loc, fTy.getInput(4));
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llvm::SmallVector<mlir::Value> args{fir::runtime::createArguments(
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builder, loc, fTy, dst, src, modeValue, sourceFile, sourceLine)};
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fir::CallOp::create(builder, loc, func, args);
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rewriter.eraseOp(op);
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return mlir::success();
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}
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mlir::Type i64Ty = builder.getI64Type();
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mlir::Value nbElement =
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cuf::computeElementCount(rewriter, loc, op.getShape(), dstTy, i64Ty);
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unsigned width = 0;
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if (fir::isa_derived(fir::unwrapSequenceType(dstTy))) {
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mlir::Type structTy =
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typeConverter->convertType(fir::unwrapSequenceType(dstTy));
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width = dl->getTypeSizeInBits(structTy) / 8;
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} else {
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width = cuf::computeElementByteSize(loc, dstTy, kindMap);
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}
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mlir::Value widthValue = mlir::arith::ConstantOp::create(
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rewriter, loc, i64Ty, rewriter.getIntegerAttr(i64Ty, width));
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mlir::Value bytes = nbElement ? mlir::arith::MulIOp::create(
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rewriter, loc, nbElement, widthValue)
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: widthValue;
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mlir::func::FuncOp func =
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fir::runtime::getRuntimeFunc<mkRTKey(CUFDataTransferPtrPtr)>(loc,
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builder);
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auto fTy = func.getFunctionType();
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mlir::Value sourceFile = fir::factory::locationToFilename(builder, loc);
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mlir::Value sourceLine =
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fir::factory::locationToLineNo(builder, loc, fTy.getInput(5));
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mlir::Value dst = op.getDst();
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mlir::Value src = op.getSrc();
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// Materialize the src if constant.
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if (matchPattern(src.getDefiningOp(), mlir::m_Constant())) {
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mlir::Value temp = builder.createTemporary(loc, srcTy);
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fir::StoreOp::create(builder, loc, src, temp);
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src = temp;
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}
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llvm::SmallVector<mlir::Value> args{
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fir::runtime::createArguments(builder, loc, fTy, dst, src, bytes,
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modeValue, sourceFile, sourceLine)};
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fir::CallOp::create(builder, loc, func, args);
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rewriter.eraseOp(op);
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return mlir::success();
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}
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auto materializeBoxIfNeeded = [&](mlir::Value val) -> mlir::Value {
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if (mlir::isa<fir::EmboxOp, fir::ReboxOp>(val.getDefiningOp())) {
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// Materialize the box to memory to be able to call the runtime.
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mlir::Value box = builder.createTemporary(loc, val.getType());
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fir::StoreOp::create(builder, loc, val, box);
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return box;
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}
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if (mlir::isa<fir::BaseBoxType>(val.getType()))
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if (auto loadOp = mlir::dyn_cast<fir::LoadOp>(val.getDefiningOp()))
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return loadOp.getMemref();
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return val;
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};
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// Conversion of data transfer involving at least one descriptor.
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if (auto dstBoxTy = mlir::dyn_cast<fir::BaseBoxType>(dstTy)) {
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// Transfer to a descriptor.
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mlir::func::FuncOp func =
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isDstGlobal(op)
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? fir::runtime::getRuntimeFunc<mkRTKey(
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CUFDataTransferGlobalDescDesc)>(loc, builder)
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: fir::runtime::getRuntimeFunc<mkRTKey(CUFDataTransferDescDesc)>(
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loc, builder);
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mlir::Value dst = op.getDst();
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mlir::Value src = op.getSrc();
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if (!mlir::isa<fir::BaseBoxType>(srcTy)) {
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mlir::Type dstEleTy = dstBoxTy.unwrapInnerType();
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src = emboxSrc(rewriter, op, symtab, dstEleTy);
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if (fir::isa_trivial(srcTy))
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func = fir::runtime::getRuntimeFunc<mkRTKey(CUFDataTransferCstDesc)>(
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loc, builder);
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}
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src = materializeBoxIfNeeded(src);
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dst = materializeBoxIfNeeded(dst);
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auto fTy = func.getFunctionType();
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mlir::Value sourceFile = fir::factory::locationToFilename(builder, loc);
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mlir::Value sourceLine =
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fir::factory::locationToLineNo(builder, loc, fTy.getInput(4));
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llvm::SmallVector<mlir::Value> args{fir::runtime::createArguments(
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builder, loc, fTy, dst, src, modeValue, sourceFile, sourceLine)};
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fir::CallOp::create(builder, loc, func, args);
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rewriter.eraseOp(op);
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} else {
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// Transfer from a descriptor.
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mlir::Value dst = emboxDst(rewriter, op, symtab);
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mlir::Value src = materializeBoxIfNeeded(op.getSrc());
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mlir::func::FuncOp func = fir::runtime::getRuntimeFunc<mkRTKey(
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CUFDataTransferDescDescNoRealloc)>(loc, builder);
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auto fTy = func.getFunctionType();
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mlir::Value sourceFile = fir::factory::locationToFilename(builder, loc);
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mlir::Value sourceLine =
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fir::factory::locationToLineNo(builder, loc, fTy.getInput(4));
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llvm::SmallVector<mlir::Value> args{fir::runtime::createArguments(
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builder, loc, fTy, dst, src, modeValue, sourceFile, sourceLine)};
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fir::CallOp::create(builder, loc, func, args);
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rewriter.eraseOp(op);
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}
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return mlir::success();
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}
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private:
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const mlir::SymbolTable &symtab;
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mlir::DataLayout *dl;
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const fir::LLVMTypeConverter *typeConverter;
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};
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struct CUFLaunchOpConversion
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: public mlir::OpRewritePattern<cuf::KernelLaunchOp> {
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public:
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using OpRewritePattern::OpRewritePattern;
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CUFLaunchOpConversion(mlir::MLIRContext *context,
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const mlir::SymbolTable &symTab)
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: OpRewritePattern(context), symTab{symTab} {}
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mlir::LogicalResult
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matchAndRewrite(cuf::KernelLaunchOp op,
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mlir::PatternRewriter &rewriter) const override {
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mlir::Location loc = op.getLoc();
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auto idxTy = mlir::IndexType::get(op.getContext());
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mlir::Value zero = mlir::arith::ConstantOp::create(
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rewriter, loc, rewriter.getIntegerType(32),
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rewriter.getI32IntegerAttr(0));
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auto gridSizeX =
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mlir::arith::IndexCastOp::create(rewriter, loc, idxTy, op.getGridX());
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auto gridSizeY =
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mlir::arith::IndexCastOp::create(rewriter, loc, idxTy, op.getGridY());
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auto gridSizeZ =
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mlir::arith::IndexCastOp::create(rewriter, loc, idxTy, op.getGridZ());
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auto blockSizeX =
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mlir::arith::IndexCastOp::create(rewriter, loc, idxTy, op.getBlockX());
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auto blockSizeY =
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mlir::arith::IndexCastOp::create(rewriter, loc, idxTy, op.getBlockY());
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auto blockSizeZ =
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mlir::arith::IndexCastOp::create(rewriter, loc, idxTy, op.getBlockZ());
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auto kernelName = mlir::SymbolRefAttr::get(
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rewriter.getStringAttr(cudaDeviceModuleName),
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{mlir::SymbolRefAttr::get(
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rewriter.getContext(),
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op.getCallee().getLeafReference().getValue())});
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mlir::Value clusterDimX, clusterDimY, clusterDimZ;
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cuf::ProcAttributeAttr procAttr;
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if (auto funcOp = symTab.lookup<mlir::func::FuncOp>(
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op.getCallee().getLeafReference())) {
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if (auto clusterDimsAttr = funcOp->getAttrOfType<cuf::ClusterDimsAttr>(
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cuf::getClusterDimsAttrName())) {
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clusterDimX = mlir::arith::ConstantIndexOp::create(
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rewriter, loc, clusterDimsAttr.getX().getInt());
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clusterDimY = mlir::arith::ConstantIndexOp::create(
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rewriter, loc, clusterDimsAttr.getY().getInt());
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clusterDimZ = mlir::arith::ConstantIndexOp::create(
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rewriter, loc, clusterDimsAttr.getZ().getInt());
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}
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procAttr =
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funcOp->getAttrOfType<cuf::ProcAttributeAttr>(cuf::getProcAttrName());
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}
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llvm::SmallVector<mlir::Value> args;
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for (mlir::Value arg : op.getArgs()) {
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// If the argument is a global descriptor, make sure we pass the device
|
|
// copy of this descriptor and not the host one.
|
|
if (mlir::isa<fir::BaseBoxType>(fir::unwrapRefType(arg.getType()))) {
|
|
if (auto declareOp =
|
|
mlir::dyn_cast_or_null<fir::DeclareOp>(arg.getDefiningOp())) {
|
|
if (auto addrOfOp = mlir::dyn_cast_or_null<fir::AddrOfOp>(
|
|
declareOp.getMemref().getDefiningOp())) {
|
|
if (auto global = symTab.lookup<fir::GlobalOp>(
|
|
addrOfOp.getSymbol().getRootReference().getValue())) {
|
|
if (cuf::isRegisteredDeviceGlobal(global)) {
|
|
arg = cuf::DeviceAddressOp::create(rewriter, op.getLoc(),
|
|
addrOfOp.getType(),
|
|
addrOfOp.getSymbol())
|
|
.getResult();
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
args.push_back(arg);
|
|
}
|
|
mlir::Value dynamicShmemSize = op.getBytes() ? op.getBytes() : zero;
|
|
auto gpuLaunchOp = mlir::gpu::LaunchFuncOp::create(
|
|
rewriter, loc, kernelName,
|
|
mlir::gpu::KernelDim3{gridSizeX, gridSizeY, gridSizeZ},
|
|
mlir::gpu::KernelDim3{blockSizeX, blockSizeY, blockSizeZ},
|
|
dynamicShmemSize, args);
|
|
if (clusterDimX && clusterDimY && clusterDimZ) {
|
|
gpuLaunchOp.getClusterSizeXMutable().assign(clusterDimX);
|
|
gpuLaunchOp.getClusterSizeYMutable().assign(clusterDimY);
|
|
gpuLaunchOp.getClusterSizeZMutable().assign(clusterDimZ);
|
|
}
|
|
if (op.getStream()) {
|
|
mlir::OpBuilder::InsertionGuard guard(rewriter);
|
|
rewriter.setInsertionPoint(gpuLaunchOp);
|
|
mlir::Value stream =
|
|
cuf::StreamCastOp::create(rewriter, loc, op.getStream());
|
|
gpuLaunchOp.getAsyncDependenciesMutable().append(stream);
|
|
}
|
|
if (procAttr)
|
|
gpuLaunchOp->setAttr(cuf::getProcAttrName(), procAttr);
|
|
else
|
|
// Set default global attribute of the original was not found.
|
|
gpuLaunchOp->setAttr(cuf::getProcAttrName(),
|
|
cuf::ProcAttributeAttr::get(
|
|
op.getContext(), cuf::ProcAttribute::Global));
|
|
rewriter.replaceOp(op, gpuLaunchOp);
|
|
return mlir::success();
|
|
}
|
|
|
|
private:
|
|
const mlir::SymbolTable &symTab;
|
|
};
|
|
|
|
struct CUFSyncDescriptorOpConversion
|
|
: public mlir::OpRewritePattern<cuf::SyncDescriptorOp> {
|
|
using OpRewritePattern::OpRewritePattern;
|
|
|
|
mlir::LogicalResult
|
|
matchAndRewrite(cuf::SyncDescriptorOp op,
|
|
mlir::PatternRewriter &rewriter) const override {
|
|
auto mod = op->getParentOfType<mlir::ModuleOp>();
|
|
fir::FirOpBuilder builder(rewriter, mod);
|
|
mlir::Location loc = op.getLoc();
|
|
|
|
auto globalOp = mod.lookupSymbol<fir::GlobalOp>(op.getGlobalName());
|
|
if (!globalOp)
|
|
return mlir::failure();
|
|
|
|
auto hostAddr = fir::AddrOfOp::create(
|
|
builder, loc, fir::ReferenceType::get(globalOp.getType()),
|
|
op.getGlobalName());
|
|
fir::runtime::cuda::genSyncGlobalDescriptor(builder, loc, hostAddr);
|
|
op.erase();
|
|
return mlir::success();
|
|
}
|
|
};
|
|
|
|
class CUFOpConversion : public fir::impl::CUFOpConversionBase<CUFOpConversion> {
|
|
using CUFOpConversionBase::CUFOpConversionBase;
|
|
|
|
public:
|
|
void runOnOperation() override {
|
|
auto *ctx = &getContext();
|
|
mlir::RewritePatternSet patterns(ctx);
|
|
mlir::ConversionTarget target(*ctx);
|
|
|
|
mlir::Operation *op = getOperation();
|
|
mlir::ModuleOp module = mlir::dyn_cast<mlir::ModuleOp>(op);
|
|
if (!module)
|
|
return signalPassFailure();
|
|
mlir::SymbolTable symtab(module);
|
|
|
|
std::optional<mlir::DataLayout> dl = fir::support::getOrSetMLIRDataLayout(
|
|
module, /*allowDefaultLayout=*/false);
|
|
fir::LLVMTypeConverter typeConverter(module, /*applyTBAA=*/false,
|
|
/*forceUnifiedTBAATree=*/false, *dl);
|
|
target.addLegalDialect<fir::FIROpsDialect, mlir::arith::ArithDialect,
|
|
mlir::gpu::GPUDialect>();
|
|
target.addLegalOp<cuf::StreamCastOp>();
|
|
target.addLegalOp<cuf::DeviceAddressOp>();
|
|
cuf::populateCUFToFIRConversionPatterns(typeConverter, *dl, symtab,
|
|
patterns);
|
|
if (mlir::failed(mlir::applyPartialConversion(getOperation(), target,
|
|
std::move(patterns)))) {
|
|
mlir::emitError(mlir::UnknownLoc::get(ctx),
|
|
"error in CUF op conversion\n");
|
|
signalPassFailure();
|
|
}
|
|
|
|
target.addDynamicallyLegalOp<fir::DeclareOp>([&](fir::DeclareOp op) {
|
|
if (op.getResult().getUsers().empty())
|
|
return true;
|
|
if (inDeviceContext(op))
|
|
return true;
|
|
if (auto addrOfOp = op.getMemref().getDefiningOp<fir::AddrOfOp>()) {
|
|
if (auto global = symtab.lookup<fir::GlobalOp>(
|
|
addrOfOp.getSymbol().getRootReference().getValue())) {
|
|
if (mlir::isa<fir::BaseBoxType>(fir::unwrapRefType(global.getType())))
|
|
return true;
|
|
if (cuf::isRegisteredDeviceGlobal(global))
|
|
return false;
|
|
}
|
|
}
|
|
return true;
|
|
});
|
|
|
|
patterns.clear();
|
|
cuf::populateFIRCUFConversionPatterns(symtab, patterns);
|
|
if (mlir::failed(mlir::applyPartialConversion(getOperation(), target,
|
|
std::move(patterns)))) {
|
|
mlir::emitError(mlir::UnknownLoc::get(ctx),
|
|
"error in CUF op conversion\n");
|
|
signalPassFailure();
|
|
}
|
|
}
|
|
};
|
|
} // namespace
|
|
|
|
void cuf::populateCUFToFIRConversionPatterns(
|
|
const fir::LLVMTypeConverter &converter, mlir::DataLayout &dl,
|
|
const mlir::SymbolTable &symtab, mlir::RewritePatternSet &patterns) {
|
|
patterns.insert<CUFSyncDescriptorOpConversion>(patterns.getContext());
|
|
patterns.insert<CUFDataTransferOpConversion>(patterns.getContext(), symtab,
|
|
&dl, &converter);
|
|
patterns.insert<CUFLaunchOpConversion>(patterns.getContext(), symtab);
|
|
}
|
|
|
|
void cuf::populateFIRCUFConversionPatterns(const mlir::SymbolTable &symtab,
|
|
mlir::RewritePatternSet &patterns) {
|
|
patterns.insert<DeclareOpConversion>(patterns.getContext(), symtab);
|
|
}
|