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- /* Copyright 2018 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_CEIL_H_
- #define TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_CEIL_H_
- #include <cmath>
- #include "tensorflow/lite/kernels/internal/types.h"
- namespace tflite {
- namespace reference_ops {
- inline void Ceil(const RuntimeShape& input_shape, const float* input_data,
- const RuntimeShape& output_shape, float* output_data) {
- const int flat_size = MatchingFlatSize(input_shape, output_shape);
- for (int i = 0; i < flat_size; ++i) {
- output_data[i] = std::ceil(input_data[i]);
- }
- }
- } // namespace reference_ops
- } // namespace tflite
- #endif // TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_CEIL_H_
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