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/*
* Copyright (c) 2021 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.
*/
#ifndef LUCI_INTERPRETER_PAL_RELU6_H
#define LUCI_INTERPRETER_PAL_RELU6_H
#include <tensorflow/lite/kernels/internal/optimized/optimized_ops.h>
namespace luci_interpreter_pal
{
static inline void Relu6(const tflite::RuntimeShape &input_shape, const float *input_data,
const tflite::RuntimeShape &output_shape, float *output_data)
{
tflite::optimized_ops::Relu6(input_shape, input_data, output_shape, output_data);
}
template <typename T>
static inline void ReluX(const tflite::ReluParams ¶ms, const tflite::RuntimeShape &input_shape,
const T *input_data, const tflite::RuntimeShape &output_shape,
T *output_data)
{
tflite::optimized_ops::ReluX(params, input_shape, input_data, output_shape, output_data);
}
} // namespace luci_interpreter_pal
#endif // LUCI_INTERPRETER_PAL_RELU6_H
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