Files
clang-p2996/mlir/test/lib/Transforms/TestDynamicPipeline.cpp
Alexander Belyaev 72c65b698e [mlir] Move TestDialect and its passes to mlir::test namespace.
TestDialect has many operations and they all live in ::mlir namespace.
Sometimes it is not clear whether the ops used in the code for the test passes
belong to Standard or to Test dialects.

Also, with this change it is easier to understand what test passes registered
in mlir-opt are actually passes in mlir/test.

Differential Revision: https://reviews.llvm.org/D90794
2020-11-05 15:29:15 +01:00

117 lines
3.9 KiB
C++

//===------ TestDynamicPipeline.cpp --- dynamic pipeline test pass --------===//
//
// 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 pass to test the dynamic pipeline feature.
//
//===----------------------------------------------------------------------===//
#include "mlir/Dialect/SCF/SCF.h"
#include "mlir/IR/Builders.h"
#include "mlir/Pass/Pass.h"
#include "mlir/Pass/PassManager.h"
#include "mlir/Transforms/LoopUtils.h"
#include "mlir/Transforms/Passes.h"
using namespace mlir;
namespace {
class TestDynamicPipelinePass
: public PassWrapper<TestDynamicPipelinePass, OperationPass<>> {
public:
void getDependentDialects(DialectRegistry &registry) const override {
OpPassManager pm(ModuleOp::getOperationName(),
OpPassManager::Nesting::Implicit);
parsePassPipeline(pipeline, pm, llvm::errs());
pm.getDependentDialects(registry);
}
TestDynamicPipelinePass(){};
TestDynamicPipelinePass(const TestDynamicPipelinePass &) {}
void runOnOperation() override {
llvm::errs() << "Dynamic execute '" << pipeline << "' on "
<< getOperation()->getName() << "\n";
if (pipeline.empty()) {
llvm::errs() << "Empty pipeline\n";
return;
}
auto symbolOp = dyn_cast<SymbolOpInterface>(getOperation());
if (!symbolOp) {
getOperation()->emitWarning()
<< "Ignoring because not implementing SymbolOpInterface\n";
return;
}
auto opName = symbolOp.getName();
if (!opNames.empty() && !llvm::is_contained(opNames, opName)) {
llvm::errs() << "dynamic-pipeline skip op name: " << opName << "\n";
return;
}
if (!pm) {
pm = std::make_unique<OpPassManager>(
getOperation()->getName().getIdentifier(),
OpPassManager::Nesting::Implicit);
parsePassPipeline(pipeline, *pm, llvm::errs());
}
// Check that running on the parent operation always immediately fails.
if (runOnParent) {
if (getOperation()->getParentOp())
if (!failed(runPipeline(*pm, getOperation()->getParentOp())))
signalPassFailure();
return;
}
if (runOnNestedOp) {
llvm::errs() << "Run on nested op\n";
getOperation()->walk([&](Operation *op) {
if (op == getOperation() || !op->isKnownIsolatedFromAbove())
return;
llvm::errs() << "Run on " << *op << "\n";
// Run on the current operation
if (failed(runPipeline(*pm, op)))
signalPassFailure();
});
} else {
// Run on the current operation
if (failed(runPipeline(*pm, getOperation())))
signalPassFailure();
}
}
std::unique_ptr<OpPassManager> pm;
Option<bool> runOnNestedOp{
*this, "run-on-nested-operations",
llvm::cl::desc("This will apply the pipeline on nested operations under "
"the visited operation.")};
Option<bool> runOnParent{
*this, "run-on-parent",
llvm::cl::desc("This will apply the pipeline on the parent operation if "
"it exist, this is expected to fail.")};
Option<std::string> pipeline{
*this, "dynamic-pipeline",
llvm::cl::desc("The pipeline description that "
"will run on the filtered function.")};
ListOption<std::string> opNames{
*this, "op-name", llvm::cl::MiscFlags::CommaSeparated,
llvm::cl::desc("List of function name to apply the pipeline to")};
};
} // namespace
namespace mlir {
namespace test {
void registerTestDynamicPipelinePass() {
PassRegistration<TestDynamicPipelinePass>(
"test-dynamic-pipeline", "Tests the dynamic pipeline feature by applying "
"a pipeline on a selected set of functions");
}
} // namespace test
} // namespace mlir