PALMul.h

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/*
 * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
 * 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 ONERT_MICRO_EXECUTE_PAL_MUL_H
#define ONERT_MICRO_EXECUTE_PAL_MUL_H
 
#include "PALMulCommon.h"
#include "PALUtils.h"
 
#include "arm_nnfunctions.h"
 
namespace onert_micro
{
namespace execute
{
namespace pal
{
 
OMStatus Mul(const core::ArithmeticQuantParams &params, const uint32_t flat_size,
             const int8_t *input1_data, const int8_t *input2_data, int8_t *output_data)
{
  auto status = arm_elementwise_mul_s8(
    input1_data, input2_data, params.input1_offset, params.input2_offset, output_data,
    params.output_offset, params.output_multiplier, params.output_shift,
    params.quantized_activation_min, params.quantized_activation_max, flat_size);
  assert(status == ARM_CMSIS_NN_SUCCESS);
 
  if (status != ARM_CMSIS_NN_SUCCESS)
    return UnknownError;
 
  return Ok;
}
 
} // namespace pal
} // namespace execute
} // namespace onert_micro
 
#endif // ONERT_MICRO_EXECUTE_PAL_ADD_H