| /* 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_LITE_MICRO_KERNELS_PRELU_H_ |
| #define TENSORFLOW_LITE_MICRO_KERNELS_PRELU_H_ |
| |
| #include "tensorflow/lite/c/common.h" |
| #include "tensorflow/lite/kernels/internal/types.h" |
| |
| namespace tflite { |
| |
| TfLiteStatus CalculatePreluParams(const TfLiteTensor* input, |
| const TfLiteTensor* alpha, |
| TfLiteTensor* output, PreluParams* params); |
| |
| void BroadcastPrelu4DSlowFloat(const RuntimeShape& unextended_input1_shape, |
| const float* input1_data, |
| const RuntimeShape& unextended_input2_shape, |
| const float* input2_data, |
| const RuntimeShape& unextended_output_shape, |
| float* output_data); |
| |
| TfLiteStatus PreluPrepare(TfLiteContext* context, TfLiteNode* node); |
| |
| } // namespace tflite |
| |
| #endif // TENSORFLOW_LITE_MICRO_KERNELS_PRELU_H_ |