| /* Copyright 2019 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_BRIDGE_H_ |
| #define TENSORFLOW_COMPILER_MLIR_TENSORFLOW_TRANSFORMS_BRIDGE_H_ |
| |
| #include "mlir/IR/Module.h" // TF:local_config_mlir |
| #include "tensorflow/core/lib/core/status.h" |
| |
| namespace mlir { |
| namespace TFTPU { |
| |
| // Run all the passes involved in transforming the graph before execution so |
| // that it is suitable for targeting TPUs. When enable_logging is true, enables |
| // tensorflow::BridgeLogger. |
| tensorflow::Status TPUBridge(ModuleOp module, bool enable_logging); |
| |
| } // namespace TFTPU |
| |
| namespace TF { |
| |
| // Runs all passes involved in transforming or optimizing an MLIR graph without |
| // any target specialization. When enable_logging is true, enables |
| // tensorflow::BridgeLogger. When enable_inliner is true, enables the inliner |
| // pass. |
| tensorflow::Status RunBridgeWithStandardPipeline(ModuleOp module, |
| bool enable_logging, |
| bool enable_inliner); |
| |
| } // namespace TF |
| |
| } // namespace mlir |
| |
| #endif // TENSORFLOW_COMPILER_MLIR_TENSORFLOW_TRANSFORMS_BRIDGE_H_ |