Floor.cpp

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/*
 * Copyright (c) 2023 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.
 */
 
#include "Builders.h"
#include "kernels/Utils.h"
 
#include "PALFloor.h"
 
namespace luci_interpreter
{
void configure_kernel_CircleFloor(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
{
  const auto input_index = cur_op->inputs()->operator[](0);
  const auto output_index = cur_op->outputs()->operator[](0);
 
  assert(input_index != -1);
  assert(output_index != -1);
 
  const auto input = runtime_graph->getCircleTensorByIndex(input_index);
  const auto output = runtime_graph->getCircleTensorByIndex(output_index);
 
  LUCI_INTERPRETER_CHECK(Tensor::element_type(input) == Tensor::element_type(output));
  // check that input and output dimensions are equal
  int N = kernels::getTensorShape(input).dimensionsCount();
  LUCI_INTERPRETER_CHECK(N == kernels::getTensorShape(output).dimensionsCount());
 
  // check that sizes of all dimensions are equal
  for (int i = 0; i < N; ++i)
  {
    LUCI_INTERPRETER_CHECK(kernels::getTensorShape(input).dims(i) ==
                           kernels::getTensorShape(output).dims(i));
  }
}
 
void execute_kernel_CircleFloor(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
{
 
  const auto input_index = cur_op->inputs()->operator[](0);
  const auto output_index = cur_op->outputs()->operator[](0);
 
  assert(input_index != -1);
  assert(output_index != -1);
 
  const auto input = runtime_graph->getCircleTensorByIndex(input_index);
  const auto output = runtime_graph->getCircleTensorByIndex(output_index);
 
  const uint8_t *input_data = runtime_graph->getDataByTensor(input);
  uint8_t *output_data = runtime_graph->getDataByTensor(output);
 
  assert(input_data != nullptr);
  assert(output_data != nullptr);
 
  switch (Tensor::element_type(input))
  {
#ifndef DIS_FLOAT
    case DataType::FLOAT32:
 
      luci_interpreter_pal::Floor(
        kernels::getTensorShape(input), kernels::getTensorData<float>(input_data),
        kernels::getTensorShape(output), kernels::getTensorData<float>(output_data));
 
      break;
#endif // DIS_FLOAT
    default:
      assert(false && "Unsupported type.");
  }
}
 
} // namespace luci_interpreter