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

/* Copyright 2017 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_SOFTMAX_H_
#define TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_SOFTMAX_H_

#include <algorithm>
#include <limits>

#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 Softmax(const SoftmaxParams& params,
                    const RuntimeShape& input_shape, const float* input_data,
                    const RuntimeShape& output_shape, float* output_data) { … }

// Quantized softmax with int8_t/uint8_t input and int8_t/uint8_t/int16_t
// output.
template <typename InputT, typename OutputT>
inline void Softmax(const SoftmaxParams& params,
                    const RuntimeShape& input_shape, const InputT* input_data,
                    const RuntimeShape& output_shape, OutputT* output_data) { … }

// Computes exp(input - max_input)
inline int16_t SoftMaxCalculateExp(const SoftmaxParams& params,
                                   const int16_t* input_data, const int depth,
                                   int16_t max_in_row, int i, int c) { … }
// Quantized softmax with int16_t input and int16_t output.
inline void SoftmaxInt16(const SoftmaxParams& params,
                         const RuntimeShape& input_shape,
                         const int16_t* input_data,
                         const RuntimeShape& output_shape,
                         int16_t* output_data) { … }

}  // namespace reference_ops
}  // namespace tflite

#endif  // TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_SOFTMAX_H_