Files
clang-p2996/mlir/test/lib/Transforms/TestLoopMapping.cpp
Mehdi Amini c64770506b Remove static registration for dialects, and the "alwayslink" hack for passes
In the previous state, we were relying on forcing the linker to include
all libraries in the final binary and the global initializer to self-register
every piece of the system. This change help moving away from this model, and
allow users to compose pieces more freely. The current change is only "fixing"
the dialect registration and avoiding relying on "whole link" for the passes.
The translation is still relying on the global registry, and some refactoring
is needed to make this all more convenient.

Differential Revision: https://reviews.llvm.org/D74461
2020-02-12 09:13:02 +00:00

60 lines
1.9 KiB
C++

//===- TestLoopMapping.cpp --- Parametric loop mapping 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 parametrically map loop.for loops to virtual
// processing element dimensions.
//
//===----------------------------------------------------------------------===//
#include "mlir/Dialect/LoopOps/LoopOps.h"
#include "mlir/IR/Builders.h"
#include "mlir/Pass/Pass.h"
#include "mlir/Transforms/LoopUtils.h"
#include "mlir/Transforms/Passes.h"
#include "llvm/ADT/SetVector.h"
using namespace mlir;
namespace {
class TestLoopMappingPass : public FunctionPass<TestLoopMappingPass> {
public:
explicit TestLoopMappingPass() {}
void runOnFunction() override {
FuncOp func = getFunction();
// SSA values for the transformation are created out of thin air by
// unregistered "new_processor_id_and_range" operations. This is enough to
// emulate mapping conditions.
SmallVector<Value, 8> processorIds, numProcessors;
func.walk([&processorIds, &numProcessors](Operation *op) {
if (op->getName().getStringRef() != "new_processor_id_and_range")
return;
processorIds.push_back(op->getResult(0));
numProcessors.push_back(op->getResult(1));
});
func.walk([&processorIds, &numProcessors](loop::ForOp op) {
// Ignore nested loops.
if (op.getParentRegion()->getParentOfType<loop::ForOp>())
return;
mapLoopToProcessorIds(op, processorIds, numProcessors);
});
}
};
} // end namespace
namespace mlir {
void registerTestLoopMappingPass() {
PassRegistration<TestLoopMappingPass>(
"test-mapping-to-processing-elements",
"test mapping a single loop on a virtual processor grid");
}
} // namespace mlir