CumSum.cpp

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/*
 * 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 "kernels/CumSum.h"
 
#include <tensorflow/lite/kernels/internal/optimized/optimized_ops.h>
 
#include "kernels/Utils.h"
 
namespace luci_interpreter
{
namespace kernels
{
 
CumSum::CumSum(const Tensor *input, const Tensor *axis, Tensor *output, const CumSumParams &params)
  : KernelWithParams<CumSumParams>({input, axis}, {output}, params)
{
}
 
void CumSum::configure()
{
  LUCI_INTERPRETER_CHECK(input()->element_type() == output()->element_type());
  LUCI_INTERPRETER_CHECK(input()->shape().num_dims() >= 1);
 
  LUCI_INTERPRETER_CHECK(axis()->element_type() == DataType::S32);
  LUCI_INTERPRETER_CHECK(axis()->shape().num_dims() == 0);
 
  output()->resize(input()->shape());
}
 
void CumSum::execute() const
{
  switch (input()->element_type())
  {
    case DataType::FLOAT32:
      tflite::optimized_ops::CumSum(getTensorData<float>(input()), getTensorShape(input()),
                                    *getTensorData<int32_t>(axis()), params().exclusive,
                                    params().reverse, getTensorData<float>(output()));
      break;
    case DataType::S32:
      tflite::optimized_ops::CumSum(getTensorData<int32_t>(input()), getTensorShape(input()),
                                    *getTensorData<int32_t>(axis()), params().exclusive,
                                    params().reverse, getTensorData<int32_t>(output()));
      break;
    case DataType::S64:
      tflite::optimized_ops::CumSum(getTensorData<int64_t>(input()), getTensorShape(input()),
                                    *getTensorData<int32_t>(axis()), params().exclusive,
                                    params().reverse, getTensorData<int64_t>(output()));
      break;
    default:
      throw std::runtime_error("luci-intp CumSum Unsupported type.");
  }
}
 
} // namespace kernels
} // namespace luci_interpreter