StridedSlice.cpp

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/*
 * 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 "OMStatus.h"
 
#include "core/OMUtils.h"
#include "core/OMDataType.h"
 
#include "train/OMBackpropExecutionBuilder.h"
#include "execute/OMRuntimeKernel.h"
 
using namespace onert_micro;
using namespace onert_micro::train;
 
namespace
{
 
constexpr uint32_t inputTensorIdx = 0;
constexpr uint32_t outputTensorIdx = 0;
 
} // namespace
 
/*
 * - Calculate input gradient - Optional (not required if it is last op)
 * Note: now support when it is just reshape, number of output tensor is one and flat size of the
 * output tensor is equal to input
 */
// TODO: support more general part
OMStatus onert_micro::train::train_kernel_CircleStridedSlice(const OMBackpropExecuteArgs &args)
{
  // Check is it last layer for training
  if (args.is_last_layer)
    return Ok;
 
  core::OMRuntimeContext &runtime_context = args.backward_context;
  core::OMRuntimeStorage &runtime_storage = args.backward_storage;
  uint16_t op_index = args.kernel_index;
 
  execute::OMRuntimeKernel runtime_kernel;
  runtime_kernel.readKernel(op_index, runtime_context);
 
  const circle::Tensor *input = runtime_kernel.inputs[inputTensorIdx];
  const circle::Tensor *output = runtime_kernel.outputs[outputTensorIdx];
 
  assert(input != nullptr);
  assert(output != nullptr);
 
  // Note: now support when it is just reshape, number of output tensor is one and flat size of the
  // output tensor is equal to input
  assert(runtime_kernel.outputs_num == 1);
  const core::OMRuntimeShape shape(input);
  const core::OMRuntimeShape output_shape(input);
  assert(shape.flatSize() == output_shape.flatSize());
  if (runtime_kernel.outputs_num > 1 or shape.flatSize() != output_shape.flatSize())
    return UnsupportedType;
 
  OMStatus status = Ok;
 
  status = runtime_kernel.getDataFromStorage(op_index, runtime_storage, runtime_context);
  if (status != Ok)
    return status;
 
  uint8_t *input_data = runtime_kernel.inputs_data[inputTensorIdx];
  uint8_t *output_data = runtime_kernel.outputs_data[outputTensorIdx];
 
  assert(input_data != nullptr);
  assert(output_data != nullptr);
 
  // Check is it inplace kernel
  if (input_data == output_data)
    return Ok;
 
  const size_t element_size =
    static_cast<uint32_t>(getOMDataTypeSize(core::onertMicroDatatype(input->type())));
  const int32_t num_elements = shape.flatSize();
  std::memcpy(input_data, output_data, num_elements * element_size);
 
  return status;
}