AddN.cpp

Go to the documentation of this file.

/*
 * Copyright (c) 2024 Samsung Electronics Co., Ltd. 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.
 */
 
#include "import/OMKernelConfigureBuilder.h"
#include "core/OMUtils.h"
#include "OMStatus.h"
#include "execute/OMRuntimeKernel.h"
 
using namespace onert_micro;
using namespace onert_micro::core;
 
namespace
{
 
constexpr uint32_t input1TensorIdx = 0;
constexpr uint32_t outputTensorIdx = 0;
 
} // namespace
 
namespace onert_micro
{
namespace import
{
 
OMStatus configure_kernel_CircleAddN(const OMConfigureArgs &config_args)
{
  OMRuntimeContext &runtime_context = config_args.runtime_context;
  uint16_t op_index = config_args.kernel_index;
 
  onert_micro::execute::OMRuntimeKernel runtime_kernel;
 
  OMStatus status = runtime_kernel.readKernel(op_index, runtime_context);
  if (status != Ok)
    return status;
 
  const auto kInputsNum = runtime_kernel.inputs_num;
 
  const circle::Tensor *output = runtime_kernel.outputs[outputTensorIdx];
  assert(output != nullptr);
  const circle::Tensor *input1 = runtime_kernel.inputs[input1TensorIdx];
  assert(input1 != nullptr);
  const OMRuntimeShape input1_shape(input1);
 
  for (int idx = 1; idx < kInputsNum; ++idx)
  {
    const circle::Tensor *input = runtime_kernel.inputs[idx];
    assert(input != nullptr);
    status = utils::checkCondition(input1->type() == input->type());
    if (status != Ok)
      return status;
  }
 
  status = utils::checkCondition(input1->type() == output->type());
  if (status != Ok)
    return status;
 
  for (int idx = 1; idx < kInputsNum; ++idx)
  {
    const circle::Tensor *input = runtime_kernel.inputs[idx];
    assert(input != nullptr);
    const OMRuntimeShape input_shape(input);
    status = utils::checkCondition(input_shape == input1_shape);
    if (status != Ok)
      return status;
  }
 
  status = utils::checkCondition(input1->type() != circle::TensorType_INT8 and
                                 input1->type() != circle::TensorType_INT16);
  if (status != Ok)
    return status;
 
  return status;
}
 
} // namespace import
} // namespace onert_micro