text: /*
   * Copyright (c) 2019 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 "Transpose.h"
  #include "ONNXHelpers.h"
  #include "AttributeHelpers.h"
  
  #include "mir/ops/TransposeOp.h"
  
  #include <numeric>
  
  namespace mir_onnx
  {
  
  void convertTransposeV1(const onnx::NodeProto &onnx_node, ConverterContext *context)
  {
    const auto inputs = context->getNodeInputs(onnx_node);
    mir::Graph *graph = context->getGraph();
  
    assert(inputs.size() == 1);
    auto input = inputs[0];
  
    const auto num_axes = input->getShape().rank();
    std::vector<std::size_t> axis_order(num_axes);
    const auto *perm_attr = findAttribute(onnx_node, "perm");
  
    if (perm_attr == nullptr)
    {
      // Reverse the dimensions.
      std::iota(axis_order.rbegin(), axis_order.rend(), 0);
    }
    else
    {
      const auto perm = getAttributeValue<std::vector<std::int64_t>>(*perm_attr);
      assert(perm.size() == num_axes);
      std::copy(perm.cbegin(), perm.cend(), axis_order.begin());
    }
  
    auto result = createOp<mir::ops::TransposeOp>(graph, input, axis_order)->getOutput(0);
  
    context->setNodeOutputs(onnx_node, {result});
  }
  
  } // namespace mir_onnx
  