| /* Copyright 2021 The TensorFlow Authors. All Rights Reserved. |
| |
| Licensed under the Apache License, Version 2.0 (the "License"); |
| you may not use this file except in compliance with the License. |
| You may obtain a copy of the License at |
| |
| http://www.apache.org/licenses/LICENSE-2.0 |
| |
| Unless required by applicable law or agreed to in writing, software |
| distributed under the License is distributed on an "AS IS" BASIS, |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| See the License for the specific language governing permissions and |
| limitations under the License. |
| ==============================================================================*/ |
| #ifndef TENSORFLOW_COMPILER_MLIR_TENSORFLOW_TRANSFORMS_MARK_INITIALIZED_VARIABLES_H_ |
| #define TENSORFLOW_COMPILER_MLIR_TENSORFLOW_TRANSFORMS_MARK_INITIALIZED_VARIABLES_H_ |
| |
| #include "mlir/Dialect/Func/IR/FuncOps.h" // from @llvm-project |
| #include "mlir/IR/BuiltinOps.h" // from @llvm-project |
| #include "tensorflow/core/public/session.h" |
| |
| namespace mlir { |
| namespace tf_saved_model { |
| // Marks all variables in 'function' whether they are initialized |
| // in 'session' or not by setting an attribute named 'is_initialized' |
| // on each variable op with value true/false based on variable is initialized |
| // in the session or not. |
| // If 'session' is NULL the function is no-op. |
| // Returns failure in case fetching variables from session failed, success |
| // otherwise. |
| LogicalResult MarkInitializedVariablesInFunction(func::FuncOp function, |
| tensorflow::Session* session); |
| // Apply `MarkInitializedVariablesInFunction` to every non-empty function in the |
| // module. |
| LogicalResult MarkInitializedVariablesInFunction(ModuleOp module, |
| tensorflow::Session* session); |
| |
| } // namespace tf_saved_model |
| } // namespace mlir |
| |
| #endif // TENSORFLOW_COMPILER_MLIR_TENSORFLOW_TRANSFORMS_MARK_INITIALIZED_VARIABLES_H_ |