| /* Copyright 2020 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. |
| ==============================================================================*/ |
| |
| #include "pybind11/pybind11.h" |
| #include "pybind11/pytypes.h" |
| #include "tensorflow_lite_support/custom_ops/kernel/ragged/py_tflite_registerer.h" |
| |
| PYBIND11_MODULE(pywrap_tflite_registerer, m) { |
| m.doc() = R"pbdoc( |
| pywrap_tflite_registerer |
| A module with a wrapper that adds to a Python wrapper for TFLite |
| ragged_tensor_to_tensor. |
| )pbdoc"; |
| m.def( |
| "TFLite_RaggedTensorToTensorRegisterer", |
| [](uintptr_t resolver) { |
| TFLite_RaggedTensorToTensorRegisterer( |
| reinterpret_cast<tflite::MutableOpResolver*>(resolver)); |
| }, |
| R"pbdoc( |
| The function that adds RaggedTensorToTensor to the TFLite interpreter. |
| )pbdoc"); |
| } |