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

/* 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_HARD_SWISH_H_
#define TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_HARD_SWISH_H_

#include <algorithm>

#include "ruy/profiler/instrumentation.h"  // from @ruy
#include "tensorflow/lite/kernels/internal/common.h"
#include "tensorflow/lite/kernels/internal/types.h"

namespace tflite {
namespace reference_ops {

inline int16_t SaturatingLeftShift(int16_t value, int amount) { … }

// Similar to ARM instruction SQDMULH.
// Similar to gemmlowp::SaturatingRoundingDoublingHighMul except
// rounding to zero instead of to nearest (SQRDMULH).
inline std::int16_t SaturatingDoublingHighMul(std::int16_t a, std::int16_t b) { … }

template <typename T>
inline void HardSwish(const RuntimeShape& input_shape, const T* input_data,
                      const RuntimeShape& output_shape, T* output_data) { … }

template <typename T>
inline void HardSwish(const HardSwishParams& params,
                      const RuntimeShape& input_shape, const T* input_data,
                      const RuntimeShape& output_shape, T* output_data) { … }

}  // namespace reference_ops
}  // namespace tflite

#endif  // TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_HARD_SWISH_H_