src/armnn/layers/SplitterLayer.cpp

   1 //
   2 // Copyright © 2017 Arm Ltd. All rights reserved.
   3 // See LICENSE file in the project root for full license information.
   4 //
   5 #include "SplitterLayer.hpp"
   6
   7 #include "LayerCloneBase.hpp"
   8
   9 #include <armnn/TypesUtils.hpp>
  10 #include <backends/WorkloadData.hpp>
  11 #include <backends/WorkloadFactory.hpp>
  12
  13 namespace armnn
  14 {
  15
  16 SplitterLayer::SplitterLayer(const ViewsDescriptor& param, const char* name)
  17     : LayerWithParameters(1, param.GetNumViews(), LayerType::Splitter, param, name)
  18 {
  19 }
  20
  21 std::unique_ptr<IWorkload> SplitterLayer::CreateWorkload(const Graph& graph, const IWorkloadFactory& factory) const
  22 {
  23     SplitterQueueDescriptor descriptor;
  24
  25     // Copies the window origins to the descriptor.
  26     for (unsigned int i = 0; i < m_Param.GetNumViews(); ++i)
  27     {
  28         descriptor.m_ViewOrigins.emplace_back(
  29             std::vector<unsigned int>(m_Param.GetViewOrigin(i), m_Param.GetViewOrigin(i) + m_Param.GetNumDimensions()));
  30     }
  31
  32     return factory.CreateSplitter(descriptor, PrepInfoAndDesc(descriptor, graph));
  33 }
  34
  35 void SplitterLayer::CreateTensorHandles(Graph& graph, const IWorkloadFactory& factory)
  36 {
  37     //If sub tensors are supported than all the "splitter" need to do is to
  38     //set the outputs to be appropriate sub tensors of the input.
  39     if (factory.SupportsSubTensors())
  40     {
  41         const OutputHandler& outputHandler = GetInputSlots()[0].GetConnectedOutputSlot()->GetOutputHandler();
  42
  43         ITensorHandle* inputData = outputHandler.GetData();
  44         //Creates the outputs as subtensors of the input.
  45         for (unsigned int i = 0; i < m_Param.GetNumViews(); ++i)
  46         {
  47             m_OutputHandlers[i].SetData(factory.CreateSubTensorHandle(*inputData,
  48                                                                       m_OutputHandlers[i].GetTensorInfo().GetShape(),
  49                                                                       m_Param.GetViewOrigin(i)));
  50         }
  51     }
  52     else
  53     {
  54         for (unsigned int i = 0; i < m_Param.GetNumViews(); ++i)
  55         {
  56             m_OutputHandlers[i].CreateTensorHandles(factory);
  57         }
  58     }
  59 }
  60
  61 SplitterLayer* SplitterLayer::Clone(Graph& graph) const
  62 {
  63     return CloneBase<SplitterLayer>(graph, m_Param, GetName());
  64 }
  65
  66 std::vector<TensorShape> SplitterLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
  67 {
  68     BOOST_ASSERT(inputShapes.size() ==  m_Param.GetNumViews());
  69     std::vector<TensorShape> outShapes;
  70     //Output shapes must match View shapes.
  71     for (unsigned int viewIdx = 0; viewIdx < m_Param.GetNumViews(); viewIdx++)
  72     {
  73         const uint32_t* sizes = m_Param.GetViewSizes(viewIdx);
  74         outShapes.push_back(TensorShape(m_Param.GetNumDimensions(), sizes));
  75     }
  76     return outShapes;
  77 }
  78
  79 void SplitterLayer::ValidateTensorShapesFromInputs()
  80 {
  81     std::vector<TensorShape> views;
  82     for (unsigned int viewIdx = 0; viewIdx < m_Param.GetNumViews(); viewIdx++)
  83     {
  84         const uint32_t* sizes = m_Param.GetViewSizes(viewIdx);
  85         views.push_back(TensorShape(m_Param.GetNumDimensions(), sizes));
  86     }
  87
  88     auto inferredShapes = InferOutputShapes(views);
  89
  90     BOOST_ASSERT(inferredShapes.size() == m_Param.GetNumViews());
  91
  92     for (unsigned int viewIdx = 0; viewIdx < m_Param.GetNumViews(); viewIdx++)
  93     {
  94         ConditionalThrowIfNotEqual<LayerValidationException>(
  95             "SplitterLayer: View sizes must match output tensor shapes.",
  96             GetOutputSlot(viewIdx).GetTensorInfo().GetShape(),
  97             inferredShapes[viewIdx]);
  98     }
  99 }
 100
 101 } // namespace armnn