wehub-resource-sync
51 lines
1.7 KiB
C++
51 lines
1.7 KiB
C++
/* Copyright 2022 The TensorFlow Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#include <memory>
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#include "mlir/Dialect/Func/IR/FuncOps.h" // from @llvm-project
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#include "mlir/IR/Builders.h" // from @llvm-project
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#include "mlir/IR/MLIRContext.h" // from @llvm-project
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#include "mlir/IR/Operation.h" // from @llvm-project
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#include "mlir/Interfaces/SideEffectInterfaces.h" // from @llvm-project
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#include "mlir/Pass/Pass.h" // from @llvm-project
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namespace tensorflow {
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namespace dtensor {
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namespace {
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#define GEN_PASS_DEF_DTENSORDCE
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#include "tensorflow/dtensor/mlir/dtensor_passes.h.inc"
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// MLIR pass that removes trivially unused operations in graph.
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struct DTensorDCE : public impl::DTensorDCEBase<DTensorDCE> {
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void runOnOperation() override {
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mlir::MLIRContext& context = getContext();
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mlir::OpBuilder builder(&context);
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getOperation().walk([](mlir::Operation* op) {
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if (mlir::isOpTriviallyDead(op)) op->erase();
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});
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}
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};
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} // namespace
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std::unique_ptr<mlir::OperationPass<mlir::func::FuncOp>> CreateDTensorDCE() {
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return std::make_unique<DTensorDCE>();
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}
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} // namespace dtensor
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} // namespace tensorflow
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