matchAndRewrite(mlir::FuncOp op,
mlir::PatternRewriter &rewriter) const override {
rewriter.startRootUpdate(op);
- auto result = fir::NameUniquer::deconstruct(op.sym_name());
- if (fir::NameUniquer::isExternalFacingUniquedName(result)) {
- auto newName = mangleExternalName(result);
- op.sym_nameAttr(rewriter.getStringAttr(newName));
- SymbolTable::setSymbolName(op, newName);
- }
+ auto result = fir::NameUniquer::deconstruct(op.getSymName());
+ if (fir::NameUniquer::isExternalFacingUniquedName(result))
+ op.setSymNameAttr(rewriter.getStringAttr(mangleExternalName(result)));
rewriter.finalizeRootUpdate(op);
return success();
}
});
target.addDynamicallyLegalOp<mlir::FuncOp>([](mlir::FuncOp op) {
- return !fir::NameUniquer::needExternalNameMangling(op.sym_name());
+ return !fir::NameUniquer::needExternalNameMangling(op.getSymName());
});
target.addDynamicallyLegalOp<fir::GlobalOp>([](fir::GlobalOp op) {
public:
}];
+ let emitAccessorPrefix = kEmitAccessorPrefix_Both;
}
#endif // BUILTIN_BASE
}];
let arguments = (ins SymbolNameAttr:$sym_name,
- TypeAttr:$type,
+ TypeAttrOf<FunctionType>:$type,
OptionalAttr<StrAttr>:$sym_visibility);
let regions = (region AnyRegion:$body);
/// compatible.
void cloneInto(FuncOp dest, BlockAndValueMapping &mapper);
- /// Returns the type of this function.
- /// FIXME: We should drive this via the ODS `type` param.
- FunctionType getType() {
- return getTypeAttr().getValue().cast<FunctionType>();
- }
-
//===------------------------------------------------------------------===//
// CallableOpInterface
//===------------------------------------------------------------------===//
LogicalResult verifyType() {
auto type = getTypeAttr().getValue();
if (!type.isa<FunctionType>())
- return emitOpError("requires '" + getTypeAttrName() +
+ return emitOpError("requires '" + FunctionOpInterface::getTypeAttrName() +
"' attribute of function type");
return success();
}
let arguments = (ins OptionalAttr<SymbolNameAttr>:$sym_name,
OptionalAttr<StrAttr>:$sym_visibility);
- let regions = (region SizedRegion<1>:$body);
+ let regions = (region SizedRegion<1>:$bodyRegion);
- let assemblyFormat = "($sym_name^)? attr-dict-with-keyword $body";
+ let assemblyFormat = "($sym_name^)? attr-dict-with-keyword $bodyRegion";
let builders = [OpBuilder<(ins CArg<"Optional<StringRef>", "{}">:$name)>];
let extraClassDeclaration = [{
/// Construct a module from the given location with an optional name.
static ModuleOp create(Location loc, Optional<StringRef> name = llvm::None);
/// Return the name of this module if present.
- Optional<StringRef> getName() { return sym_name(); }
+ Optional<StringRef> getName() { return getSymName(); }
//===------------------------------------------------------------------===//
// SymbolOpInterface Methods
LogicalResult verifyTrait(ConcreteOp op) {
if (!op.getTypeAttr())
return op.emitOpError("requires a type attribute '")
- << ConcreteOp::getTypeAttrName() << '\'';
+ << function_interface_impl::getTypeAttrName() << '\'';
if (failed(op.verifyType()))
return failure();
let constBuilderCall = "::mlir::TypeAttr::get($0)";
}
+class TypeAttrOf<Type ty>
+ : TypeAttrBase<ty.cppClassName, "type attribute of " # ty.description> {
+ let constBuilderCall = "::mlir::TypeAttr::get($0)";
+}
+
// The mere presence of unit attributes has a meaning. Therefore, unit
// attributes are always treated as optional and accessors to them return
// "true" if the attribute is present and "false" otherwise.
matchAndRewrite(UnrealizedConversionCastOp op, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const override {
SmallVector<Type> convertedTypes;
- if (succeeded(typeConverter->convertTypes(op.outputs().getTypes(),
+ if (succeeded(typeConverter->convertTypes(op.getOutputs().getTypes(),
convertedTypes)) &&
- convertedTypes == adaptor.inputs().getTypes()) {
- rewriter.replaceOp(op, adaptor.inputs());
+ convertedTypes == adaptor.getInputs().getTypes()) {
+ rewriter.replaceOp(op, adaptor.getInputs());
return success();
}
convertedTypes.clear();
- if (succeeded(typeConverter->convertTypes(adaptor.inputs().getTypes(),
+ if (succeeded(typeConverter->convertTypes(adaptor.getInputs().getTypes(),
convertedTypes)) &&
- convertedTypes == op.outputs().getType()) {
- rewriter.replaceOp(op, adaptor.inputs());
+ convertedTypes == op.getOutputs().getType()) {
+ rewriter.replaceOp(op, adaptor.getInputs());
return success();
}
return failure();
auto users = op->getUsers();
if (!llvm::all_of(users, [&](Operation *user) {
if (auto other = dyn_cast<UnrealizedConversionCastOp>(user))
- return other.getResultTypes() == op.inputs().getTypes() &&
- other.inputs() == op.outputs();
+ return other.getResultTypes() == op.getInputs().getTypes() &&
+ other.getInputs() == op.getOutputs();
return false;
})) {
return rewriter.notifyMatchFailure(op, "live unrealized conversion cast");
}
for (Operation *user : users)
- rewriter.replaceOp(user, op.inputs());
+ rewriter.replaceOp(user, op.getInputs());
rewriter.eraseOp(op);
return success();
ModuleOp module = computeFunc.func->getParentOfType<ModuleOp>();
- ArrayRef<Type> computeFuncInputTypes =
- computeFunc.func.type().cast<FunctionType>().getInputs();
+ ArrayRef<Type> computeFuncInputTypes = computeFunc.func.getType().getInputs();
// Compared to the parallel compute function async dispatch function takes
// additional !async.group argument. Also instead of a single `blockIndex` it
operands[1] = midIndex;
operands[2] = end;
- executeBuilder.create<func::CallOp>(executeLoc, func.sym_name(),
+ executeBuilder.create<func::CallOp>(executeLoc, func.getSymName(),
func.getCallableResults(), operands);
executeBuilder.create<async::YieldOp>(executeLoc, ValueRange());
};
SmallVector<Value> computeFuncOperands = {blockStart};
computeFuncOperands.append(forwardedInputs.begin(), forwardedInputs.end());
- b.create<func::CallOp>(computeFunc.func.sym_name(),
+ b.create<func::CallOp>(computeFunc.func.getSymName(),
computeFunc.func.getCallableResults(),
computeFuncOperands);
b.create<func::ReturnOp>(ValueRange());
SmallVector<Value> operands = {c0, blockSize};
appendBlockComputeOperands(operands);
- b.create<func::CallOp>(parallelComputeFunction.func.sym_name(),
+ b.create<func::CallOp>(parallelComputeFunction.func.getSymName(),
parallelComputeFunction.func.getCallableResults(),
operands);
b.create<scf::YieldOp>();
SmallVector<Value> operands = {group, c0, blockCount, blockSize};
appendBlockComputeOperands(operands);
- b.create<func::CallOp>(asyncDispatchFunction.sym_name(),
+ b.create<func::CallOp>(asyncDispatchFunction.getSymName(),
asyncDispatchFunction.getCallableResults(),
operands);
// Call parallel compute function inside the async.execute region.
auto executeBodyBuilder = [&](OpBuilder &executeBuilder,
Location executeLoc, ValueRange executeArgs) {
- executeBuilder.create<func::CallOp>(executeLoc, compute.sym_name(),
+ executeBuilder.create<func::CallOp>(executeLoc, compute.getSymName(),
compute.getCallableResults(),
computeFuncOperands(iv));
executeBuilder.create<async::YieldOp>(executeLoc, ValueRange());
b.create<scf::ForOp>(c1, blockCount, c1, ValueRange(), loopBuilder);
// Call parallel compute function for the first block in the caller thread.
- b.create<func::CallOp>(compute.sym_name(), compute.getCallableResults(),
+ b.create<func::CallOp>(compute.getSymName(), compute.getCallableResults(),
computeFuncOperands(c0));
// Wait for the completion of all async compute operations.
// `async.await` op lowering will create resume blocks for async
// continuations, and will conditionally branch to cleanup or suspend blocks.
- for (Block &block : func.body().getBlocks()) {
+ for (Block &block : func.getBody().getBlocks()) {
if (&block == entryBlock || &block == cleanupBlock ||
&block == suspendBlock)
continue;
// this dict between the passes is ugly.
if (isAllowedToBlock(func) ||
outlinedFunctions.find(func) == outlinedFunctions.end()) {
- for (Operation &op : func.body().getOps()) {
+ for (Operation &op : func.getBody().getOps()) {
if (dyn_cast<AwaitOp>(op) || dyn_cast<AwaitAllOp>(op)) {
funcWorklist.push_back(func);
break;
/// Return nullptr if there is no such unique ReturnOp.
static func::ReturnOp getAssumedUniqueReturnOp(FuncOp funcOp) {
func::ReturnOp returnOp;
- for (Block &b : funcOp.body()) {
+ for (Block &b : funcOp.getBody()) {
if (auto candidateOp = dyn_cast<func::ReturnOp>(b.getTerminator())) {
if (returnOp)
return nullptr;
// 3. Rewrite the bbArgs.
// Iterate on the original `numArgs` and replace them in order.
// This guarantees the argument order still matches after the rewrite.
- Block &frontBlock = funcOp.body().front();
+ Block &frontBlock = funcOp.getBody().front();
unsigned numArgs = frontBlock.getNumArguments();
for (unsigned idx = 0; idx < numArgs; ++idx) {
auto bbArg = frontBlock.getArgument(0);
// For each FuncOp, the number of CallOpInterface it contains.
DenseMap<FuncOp, unsigned> numberCallOpsContainedInFuncOp;
WalkResult res = moduleOp.walk([&](FuncOp funcOp) -> WalkResult {
- if (!funcOp.body().empty()) {
+ if (!funcOp.getBody().empty()) {
func::ReturnOp returnOp = getAssumedUniqueReturnOp(funcOp);
if (!returnOp)
return funcOp->emitError()
argumentTypes.push_back(desiredMemrefType);
// If funcOp's body is not empty, change the bbArg type and propagate.
- if (!funcOp.body().empty()) {
+ if (!funcOp.getBody().empty()) {
BlockArgument bbArg = funcOp.getArgument(argNumber);
bbArg.setType(desiredMemrefType);
OpBuilder b(bbArg.getContext());
// 4. Create the new CallOp.
Operation *newCallOp = rewriter.create<func::CallOp>(
- callOp.getLoc(), funcOp.sym_name(), resultTypes, newOperands);
+ callOp.getLoc(), funcOp.getSymName(), resultTypes, newOperands);
newCallOp->setAttrs(callOp->getAttrs());
// Get replacement values for non-tensor / non-equivalent results.
for (unsigned i = 0; i < replacementValues.size(); ++i) {
// Analyze ops.
for (FuncOp funcOp : moduleState.orderedFuncOps) {
// No body => no analysis.
- if (funcOp.body().empty())
+ if (funcOp.getBody().empty())
continue;
// Now analyzing function.
// Bufferize function bodies.
for (FuncOp funcOp : moduleState.orderedFuncOps) {
// No body => no analysis.
- if (funcOp.body().empty())
+ if (funcOp.getBody().empty())
continue;
if (failed(bufferizeOp(funcOp, state)))
IRRewriter rewriter(func.getContext());
- propagateShapesInRegion(func.body());
+ propagateShapesInRegion(func.getBody());
// Insert UnrealizedConversionCasts to guarantee ReturnOp agress with
// the FuncOp type.
ArrayRef<DictionaryAttr> argAttrs) {
state.addAttribute(SymbolTable::getSymbolAttrName(),
builder.getStringAttr(name));
- state.addAttribute(getTypeAttrName(), TypeAttr::get(type));
+ state.addAttribute(function_interface_impl::getTypeAttrName(),
+ TypeAttr::get(type));
state.attributes.append(attrs.begin(), attrs.end());
state.addRegion();
LogicalResult
UnrealizedConversionCastOp::fold(ArrayRef<Attribute> attrOperands,
SmallVectorImpl<OpFoldResult> &foldResults) {
- OperandRange operands = inputs();
- ResultRange results = outputs();
+ OperandRange operands = getInputs();
+ ResultRange results = getOutputs();
if (operands.getType() == results.getType()) {
foldResults.append(operands.begin(), operands.end());
void runOnOperation() override {
Location loc = getOperation().getLoc();
- OpBuilder builder(getOperation().body());
+ OpBuilder builder(getOperation().getBodyRegion());
auto funcOp = builder.create<FuncOp>(
loc, "test", FunctionType::get(getOperation().getContext(), {}, {}));
funcOp.addEntryBlock();
// Create ValueShapeRange on the arith.addi operation.
ValueShapeRange addiRange() {
- auto &fnBody = mapFn.body();
+ auto &fnBody = mapFn.getBody();
return std::next(fnBody.front().begin())->getOperands();
}
projects / platform / upstream / llvm.git / commitdiff