chromium/third_party/tflite/src/tensorflow/lite/kernels/internal/reference/logistic.h

/* Copyright 2019 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_LOGISTIC_H_
#define TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_LOGISTIC_H_

#include <cmath>

#include "fixedpoint/fixedpoint.h"
#include "tensorflow/lite/kernels/internal/common.h"
#include "tensorflow/lite/kernels/internal/cppmath.h"
#include "tensorflow/lite/kernels/internal/quantization_util.h"
#include "tensorflow/lite/kernels/internal/types.h"
#include "tensorflow/lite/kernels/op_macros.h"

namespace tflite {
namespace reference_ops {

inline void Logistic(const RuntimeShape& input_shape, const float* input_data,
                     const RuntimeShape& output_shape, float* output_data) { … }

// Convenience version that allows, for example, generated-code calls to be
// uniform between data types.
inline void Logistic(const LogisticParams&, const RuntimeShape& input_shape,
                     const float* input_data, const RuntimeShape& output_shape,
                     float* output_data) { … }

inline void Logistic(const LogisticParams& params,
                     const RuntimeShape& input_shape, const int16_t* input_data,
                     const RuntimeShape& output_shape, int16_t* output_data) { … }

// Quantized int8_t logistic activation.  Cheats by dequantizing and
// requantizing around the floating point logistic method.  This implementation
// is slow on platforms without a floating point unit.

// TODO(b/141211002): Delete this int8_t implementation once we can reuse the
// approach used in TFLite for int8_t Logistic.
inline void Logistic(const RuntimeShape& input_shape, const int8_t* input_data,
                     float input_scale, int input_zero_point,
                     const RuntimeShape& output_shape, int8_t* output_data,
                     float output_scale, int output_zero_point) { … }

}  // namespace reference_ops
}  // namespace tflite

#endif  // TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_LOGISTIC_H_