| /* Copyright 2018 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_LITE_MICRO_PYTHON_OPS_RESOLVER_H_ |
| #define TENSORFLOW_LITE_MICRO_PYTHON_OPS_RESOLVER_H_ |
| |
| #include "tensorflow/lite/micro/compatibility.h" |
| #include "tensorflow/lite/micro/micro_mutable_op_resolver.h" |
| |
| namespace tflite { |
| |
| // PythonOpsResolver is used to register all the Ops for the TFLM Python |
| // interpreter. This is ok since code size is not a concern from Python and |
| // the goal is to be able to run any model supported by TFLM in a flexible way |
| class PythonOpsResolver : public MicroMutableOpResolver<200> { |
| public: |
| PythonOpsResolver(); |
| |
| private: |
| TF_LITE_REMOVE_VIRTUAL_DELETE |
| }; |
| |
| } // namespace tflite |
| |
| #endif // TENSORFLOW_LITE_MICRO_PYTHON_OPS_RESOLVER_H_ |