diff options
Diffstat (limited to 'libs/tflite/include/tflite/ext/kernels/TensorFlowMax.h')
-rw-r--r-- | libs/tflite/include/tflite/ext/kernels/TensorFlowMax.h | 75 |
1 files changed, 75 insertions, 0 deletions
diff --git a/libs/tflite/include/tflite/ext/kernels/TensorFlowMax.h b/libs/tflite/include/tflite/ext/kernels/TensorFlowMax.h new file mode 100644 index 000000000..d31d76483 --- /dev/null +++ b/libs/tflite/include/tflite/ext/kernels/TensorFlowMax.h @@ -0,0 +1,75 @@ +/* + * Copyright (c) 2018 Samsung Electronics Co., Ltd. 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. + */ + +/** + * @file TensorFlowMax.h + * @brief This file contains TensorFlowMax namespace and TensorFlowMax function definitions + * @ingroup COM_AI_RUNTIME + */ + +#ifndef __NNFW_TFLITE_EXT_KERNELS_TENSORFLOW_MAX_H__ +#define __NNFW_TFLITE_EXT_KERNELS_TENSORFLOW_MAX_H__ + +#include "tensorflow/contrib/lite/context.h" + +namespace nnfw +{ +namespace tflite +{ +namespace custom +{ +namespace TensorFlowMax +{ + +/** + * @brief Initialize TensorFlowMax operand using the contents of buffer + * @param[in] context The TfLite context + * @param[in] buffer The buffer with contents + * @param[in] length The buffer length + * @return The void pointer for user data + */ +void *InitTensorFlowMax(TfLiteContext *context, const char *buffer, size_t length); + +/** + * @brief Release any memory it might have allocated via 'InitTensorFlowMax' + * @param[in] context The TfLite context + * @param[in] buffer The buffer with contents + * @return N/A + */ +void FreeTensorFlowMax(TfLiteContext *context, void *buffer); + +/** + * @brief Prepare the TensorFlowMax operand for execution + * @param[in] context The TfLite context + * @param[in] node The operand node + * @return The TfLite status + */ +TfLiteStatus PrepareTensorFlowMax(TfLiteContext *context, TfLiteNode *node); + +/** + * @brief Evaluation the TensorFlowMax operand for execution + * @param[in] context The TfLite context + * @param[in] node The operand node + * @return The TfLite status + */ +TfLiteStatus EvalTensorFlowMax(TfLiteContext *context, TfLiteNode *node); + +} // namespace TensorFlowMax +} // namespace custom +} // namespace tflite +} // namespace nnfw + +#endif // __NNFW_TFLITE_EXT_KERNELS_TENSORFLOW_MAX_H__ |