5a9bdd85ee
Transform interfaces are implemented, direction or via extensions, in libraries belonging to multiple other dialects. Those dialects don't need to depend on the non-interface part of the transform dialect, which includes the growing number of ops and transitive dependency footprint. Split out the interfaces into a separate library. This in turn requires flipping the dependency from the interface on the dialect that has crept in because both co-existed in one library. The interface shouldn't depend on the transform dialect either. As a consequence of splitting, the capability of the interpreter to automatically walk the payload IR to identify payload ops of a certain kind based on the type used for the entry point symbol argument is disabled. This is a good move by itself as it simplifies the interpreter logic. This functionality can be trivially replaced by a `transform.structured.match` operation.
70 lines
2.4 KiB
C++
70 lines
2.4 KiB
C++
//===- InferEffects.cpp - Infer memory effects for named symbols ----------===//
|
|
//
|
|
// 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/Dialect/Transform/IR/TransformDialect.h"
|
|
#include "mlir/Dialect/Transform/Transforms/Passes.h"
|
|
|
|
#include "mlir/Dialect/Transform/Interfaces/TransformInterfaces.h"
|
|
#include "mlir/IR/Visitors.h"
|
|
#include "mlir/Interfaces/FunctionInterfaces.h"
|
|
#include "mlir/Interfaces/SideEffectInterfaces.h"
|
|
#include "llvm/ADT/DenseSet.h"
|
|
|
|
using namespace mlir;
|
|
|
|
namespace mlir {
|
|
namespace transform {
|
|
#define GEN_PASS_DEF_INFEREFFECTSPASS
|
|
#include "mlir/Dialect/Transform/Transforms/Passes.h.inc"
|
|
} // namespace transform
|
|
} // namespace mlir
|
|
|
|
static LogicalResult inferSideEffectAnnotations(Operation *op) {
|
|
if (!isa<transform::TransformOpInterface>(op))
|
|
return success();
|
|
|
|
auto func = dyn_cast<FunctionOpInterface>(op);
|
|
if (!func || func.isExternal())
|
|
return success();
|
|
|
|
if (!func.getFunctionBody().hasOneBlock()) {
|
|
return op->emitError()
|
|
<< "only single-block operations are currently supported";
|
|
}
|
|
|
|
// Note that there can't be an inclusion of an unannotated symbol because it
|
|
// wouldn't have passed the verifier, so recursion isn't necessary here.
|
|
llvm::SmallDenseSet<unsigned> consumedArguments;
|
|
transform::getConsumedBlockArguments(func.getFunctionBody().front(),
|
|
consumedArguments);
|
|
|
|
for (unsigned i = 0, e = func.getNumArguments(); i < e; ++i) {
|
|
func.setArgAttr(i,
|
|
consumedArguments.contains(i)
|
|
? transform::TransformDialect::kArgConsumedAttrName
|
|
: transform::TransformDialect::kArgReadOnlyAttrName,
|
|
UnitAttr::get(op->getContext()));
|
|
}
|
|
return success();
|
|
}
|
|
|
|
namespace {
|
|
class InferEffectsPass
|
|
: public transform::impl::InferEffectsPassBase<InferEffectsPass> {
|
|
public:
|
|
void runOnOperation() override {
|
|
WalkResult result = getOperation()->walk([](Operation *op) {
|
|
return failed(inferSideEffectAnnotations(op)) ? WalkResult::interrupt()
|
|
: WalkResult::advance();
|
|
});
|
|
if (result.wasInterrupted())
|
|
return signalPassFailure();
|
|
}
|
|
};
|
|
} // namespace
|