chromium/third_party/tflite/src/tensorflow/lite/kernels/internal/optimized/integer_ops/sub.h

/* Copyright 2022 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_OPTIMIZED_INTEGER_OPS_SUB_H_
#define TENSORFLOW_LITE_KERNELS_INTERNAL_OPTIMIZED_INTEGER_OPS_SUB_H_

#include <algorithm>

#include "ruy/profiler/instrumentation.h"  // from @ruy
#include "tensorflow/lite/kernels/internal/common.h"
#include "tensorflow/lite/kernels/internal/compatibility.h"
#include "tensorflow/lite/kernels/internal/optimized/avx2_quantization_utils.h"
#include "tensorflow/lite/kernels/internal/reference/sub.h"
#include "tensorflow/lite/kernels/internal/types.h"

namespace tflite {
namespace optimized_integer_ops {

inline void SubElementwiseInt16(int size, const ArithmeticParams& params,
                                const int16* input1_data,
                                const int16* input2_data, int16* output_data) { … }

inline void BroadcastSubFiveFold(const ArithmeticParams& unswitched_params,
                                 const RuntimeShape& input1_shape,
                                 const int16* unswitched_input1_data,
                                 const RuntimeShape& input2_shape,
                                 const int16* unswitched_input2_data,
                                 const RuntimeShape& output_shape,
                                 int16* output_data) { … }

inline void Sub(const ArithmeticParams& params,
                const RuntimeShape& input1_shape, const int16* input1_data,
                const RuntimeShape& input2_shape, const int16* input2_data,
                const RuntimeShape& output_shape, int16* output_data) { … }

inline void BroadcastSubDispatch(const ArithmeticParams& params,
                                 const RuntimeShape& input1_shape,
                                 const int16* input1_data,
                                 const RuntimeShape& input2_shape,
                                 const int16* input2_data,
                                 const RuntimeShape& output_shape,
                                 int16* output_data) { … }
}  // namespace optimized_integer_ops
}  // namespace tflite

#endif  // TENSORFLOW_LITE_KERNELS_INTERNAL_OPTIMIZED_INTEGER_OPS_SUB_H_