| /* 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_ALL_OPS_RESOLVER_H_ |
| #define TENSORFLOW_LITE_MICRO_ALL_OPS_RESOLVER_H_ |
| |
| #include "tensorflow/lite/micro/compatibility.h" |
| #include "tensorflow/lite/micro/micro_mutable_op_resolver.h" |
| |
| namespace tflite { |
| |
| // The magic number in the template parameter is the maximum number of ops that |
| // can be added to AllOpsResolver. It can be increased if needed. And most |
| // applications that care about the memory footprint will want to directly use |
| // MicroMutableOpResolver and have an application specific template parameter. |
| // The examples directory has sample code for this. |
| class AllOpsResolver : public MicroMutableOpResolver<128> { |
| public: |
| AllOpsResolver(); |
| |
| private: |
| TF_LITE_REMOVE_VIRTUAL_DELETE |
| }; |
| |
| } // namespace tflite |
| |
| #endif // TENSORFLOW_LITE_MICRO_ALL_OPS_RESOLVER_H_ |