1 /* Copyright 2021 The TensorFlow Authors. All Rights Reserved. 2 3 Licensed under the Apache License, Version 2.0 (the "License"); 4 you may not use this file except in compliance with the License. 5 You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9 Unless required by applicable law or agreed to in writing, software 10 distributed under the License is distributed on an "AS IS" BASIS, 11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 See the License for the specific language governing permissions and 13 limitations under the License. 14 ==============================================================================*/ 15 #ifndef TENSORFLOW_COMPILER_MLIR_TFRT_ANALYSIS_TENSOR_ARRAY_SIDE_EFFECT_ANALYSIS_H_ 16 #define TENSORFLOW_COMPILER_MLIR_TFRT_ANALYSIS_TENSOR_ARRAY_SIDE_EFFECT_ANALYSIS_H_ 17 18 #include "mlir/Dialect/Func/IR/FuncOps.h" // from @llvm-project 19 #include "mlir/IR/BuiltinOps.h" // from @llvm-project 20 21 namespace tensorflow { 22 namespace tfrt_compiler { 23 24 // Return true if it is a TensorArrayOp, eg. TensorArrayV3Op. 25 bool IsTensorArrayOp(mlir::Operation* op); 26 27 // This class provides utilities for analyzing side effects for TensorArray ops 28 // in the graph. mlir::TF::SideEffectAnalysis currently produces suboptimal 29 // side-effect analysis for TensorArray ops. On the other hand, control 30 // dependencies are already sorted out for TensorArray ops in the original TF 31 // graph. Each TensorArray op will take or produce a `flow` value and they are 32 // already properly chained in the origninal TF graph. 33 class TensorArraySideEffectAnalysis { 34 public: 35 explicit TensorArraySideEffectAnalysis(mlir::ModuleOp module); 36 37 // Return if the function contains only non-side-effecting ops or TensorArray 38 // ops. HasAtMostTensorArrayEffect(mlir::func::FuncOp func_op)39 bool HasAtMostTensorArrayEffect(mlir::func::FuncOp func_op) const { 40 return set_.count(func_op) > 0; 41 } 42 43 private: 44 llvm::DenseSet<mlir::func::FuncOp> set_; 45 }; 46 47 } // namespace tfrt_compiler 48 } // namespace tensorflow 49 50 #endif // TENSORFLOW_COMPILER_MLIR_TFRT_ANALYSIS_TENSOR_ARRAY_SIDE_EFFECT_ANALYSIS_H_ 51