4bfae66d70
This change refactors and cleans up the implementation of the operation walk methods. After this refactoring is that the explicit template parameter for the operation type is no longer needed for the explicit op walks. For example:
op->walk<AffineForOp>([](AffineForOp op) { ... });
is now accomplished via:
op->walk([](AffineForOp op) { ... });
PiperOrigin-RevId: 266209552
66 lines
2.3 KiB
C++
66 lines
2.3 KiB
C++
//===- TestLoopMapping.cpp --- Parametric loop mapping pass ---------------===//
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//
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// Copyright 2019 The MLIR Authors.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// =============================================================================
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//
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// This file implements a pass to parametrically map loop.for loops to virtual
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// processing element dimensions.
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Dialect/LoopOps/LoopOps.h"
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#include "mlir/IR/Builders.h"
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#include "mlir/Pass/Pass.h"
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#include "mlir/Transforms/LoopUtils.h"
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#include "mlir/Transforms/Passes.h"
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#include "llvm/ADT/SetVector.h"
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using namespace mlir;
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namespace {
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class TestLoopMappingPass : public FunctionPass<TestLoopMappingPass> {
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public:
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explicit TestLoopMappingPass() {}
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void runOnFunction() override {
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FuncOp func = getFunction();
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// SSA values for the transformation are created out of thin air by
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// unregistered "new_processor_id_and_range" operations. This is enough to
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// emulate mapping conditions.
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SmallVector<Value *, 8> processorIds, numProcessors;
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func.walk([&processorIds, &numProcessors](Operation *op) {
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if (op->getName().getStringRef() != "new_processor_id_and_range")
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return;
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processorIds.push_back(op->getResult(0));
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numProcessors.push_back(op->getResult(1));
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});
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func.walk([&processorIds, &numProcessors](loop::ForOp op) {
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// Ignore nested loops.
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if (op.getParentRegion()->getParentOfType<loop::ForOp>())
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return;
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mapLoopToProcessorIds(op, processorIds, numProcessors);
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});
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}
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};
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} // end namespace
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static PassRegistration<TestLoopMappingPass>
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reg("test-mapping-to-processing-elements",
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"test mapping a single loop on a virtual processor grid",
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[] { return std::make_unique<TestLoopMappingPass>(); });
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