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- /* 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_
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