| /* 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. |
| ==============================================================================*/ |
| #ifndef TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_FILL_H_ |
| #define TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_FILL_H_ |
| |
| #include <cmath> |
| |
| #include "tensorflow/lite/kernels/internal/types.h" |
| |
| namespace tflite { |
| namespace reference_ops { |
| |
| template <typename T> |
| void Fill(const RuntimeShape& value_shape, const T* value_data, |
| const RuntimeShape& output_shape, T* output_data) { |
| TFLITE_DCHECK_EQ(value_shape.DimensionsCount(), 0); |
| const int flat_size = output_shape.FlatSize(); |
| for (int i = 0; i < flat_size; ++i) { |
| output_data[i] = *value_data; |
| } |
| } |
| |
| } // namespace reference_ops |
| } // namespace tflite |
| |
| #endif // TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_FILL_H_ |