text: //
  // Copyright © 2017 Arm Ltd. All rights reserved.
  // See LICENSE file in the project root for full license information.
  //
  #include "ConstantLayer.hpp"
  #include "LayerCloneBase.hpp"
  
  #include <armnn/TypesUtils.hpp>
  #include <backends/CpuTensorHandle.hpp>
  #include <backends/WorkloadData.hpp>
  #include <backends/WorkloadFactory.hpp>
  
  namespace armnn
  {
  
  ConstantLayer::ConstantLayer(const std::shared_ptr<ScopedCpuTensorHandle>& input, const char* name)
      : Layer(0, 1, LayerType::Constant, name)
      , m_LayerOutput(input)
  {
  }
  
  std::unique_ptr<IWorkload> ConstantLayer::CreateWorkload(const Graph& graph,
      const IWorkloadFactory& factory) const
  {
      ConstantQueueDescriptor descriptor;
      descriptor.m_LayerOutput = m_LayerOutput.get();
      return factory.CreateConstant(descriptor, PrepInfoAndDesc(descriptor, graph));
  }
  
  ConstantLayer* ConstantLayer::Clone(Graph& graph) const
  {
      // Cloned layers share the same layer output object
      return CloneBase<ConstantLayer>(graph, m_LayerOutput, GetName());
  }
  
  void ConstantLayer::ValidateTensorShapesFromInputs()
  {
      // get the output shape from the value of the constant layer
      TensorShape const& outShape = m_LayerOutput->GetTensorInfo().GetShape();
      ConditionalThrowIfNotEqual<LayerValidationException>(
          "ConstantLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
          GetOutputSlot(0).GetTensorInfo().GetShape(),
          outShape);
  }
  
  } // namespace armnn
  