Square.cpp

Go to the documentation of this file.

/*
 * Copyright (c) 2023 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 "Builders.h"
#include "kernels/Utils.h"
#include "SISOKernel.h"
 
#include "PALSquare.h"
 
namespace luci_interpreter
{
void configure_kernel_CircleSquare(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
{
  kernels::SISOKernel kernel(cur_op, runtime_graph);
 
  LUCI_INTERPRETER_CHECK(Tensor::element_type(kernel.input()) ==
                         Tensor::element_type(kernel.output()));
 
  // check that input and output dimensions are equal
  int N = Tensor::num_dims(kernel.input());
  LUCI_INTERPRETER_CHECK(N == Tensor::num_dims(kernel.output()));
 
  // check that sizes of all dimensions are equal
  for (int i = 0; i < N; ++i)
  {
    LUCI_INTERPRETER_CHECK(kernels::getTensorShape(kernel.input()).dims(i) ==
                           kernels::getTensorShape(kernel.output()).dims(i));
  }
}
 
void execute_kernel_CircleSquare(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
{
  kernels::SISOKernel kernel(cur_op, runtime_graph);
 
  const auto *input_data = runtime_graph->getDataByTensor(kernel.input());
  assert(input_data);
 
  auto *output_data = runtime_graph->getDataByTensor(kernel.output());
 
  bool is_inplace = runtime_graph->is_inplace_op(cur_op);
 
  switch (Tensor::element_type(kernel.input()))
  {
#ifndef DIS_FLOAT
    case DataType::FLOAT32:
    {
      const float *input_data_float = kernels::getTensorData<float>(input_data);
      float *output_data_float = kernels::getTensorData<float>(output_data);
      if (is_inplace)
      {
        output_data_float = const_cast<float *>(input_data_float);
      }
 
      assert(output_data_float);
 
      const int flat_size =
        kernels::getTensorRuntimeShape(kernel.input(), runtime_graph).flatSize();
 
      luci_interpreter_pal::Square(flat_size, input_data_float, output_data_float);
      break;
    }
#endif // DIS_FLOAT
    default:
      assert(false && "Unsupported type");
  }
 
  if (is_inplace)
    runtime_graph->makeInplaceOperation(kernel.input(), kernel.output());
}
 
} // namespace luci_interpreter