PALMinimumCommon.h

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/*
 * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
 * 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 ONERT_MICRO_PAL_MINIMUM_COMMON_H
#define ONERT_MICRO_PAL_MINIMUM_COMMON_H
 
#include "PALBinaryOpCommon.h"
#include "OMStatus.h"
#include "core/OMRuntimeShape.h"
 
namespace onert_micro
{
namespace execute
{
namespace pal
{
 
inline OMStatus Minimum(const int flat_size, const float *input1_data, const float *input2_data,
                        float *output_data)
{
  return BinaryOp<float, MinimumFn<float>>(flat_size, input1_data, input2_data, output_data);
}
 
template <typename T>
inline OMStatus
BroadcastMinimum4DSlow(const core::OMRuntimeShape &input1_shape, const T *input1_data,
                       const core::OMRuntimeShape &input2_shape, const T *input2_data,
                       const core::OMRuntimeShape &output_shape, T *output_data)
{
  return BroadcastBinaryOp4DSlow<float, MinimumFn<float>>(input1_shape, input1_data, input2_shape,
                                                          input2_data, output_shape, output_data);
}
 
} // namespace pal
} // namespace execute
} // namespace onert_micro
 
#endif // ONERT_MICRO_PAL_MINIMUM_COMMON_H