src/armnn/layers/ResizeBilinearLayer.cpp

   1 //
   2 // Copyright © 2017 Arm Ltd. All rights reserved.
   3 // SPDX-License-Identifier: MIT
   4 //
   5 #include "ResizeBilinearLayer.hpp"
   6
   7 #include "LayerCloneBase.hpp"
   8
   9 #include <armnn/TypesUtils.hpp>
  10 #include <backendsCommon/WorkloadData.hpp>
  11 #include <backendsCommon/WorkloadFactory.hpp>
  12
  13 namespace armnn
  14 {
  15
  16 ResizeBilinearLayer::ResizeBilinearLayer(const ResizeBilinearDescriptor& param, const char* name)
  17     : LayerWithParameters(1, 1, LayerType::ResizeBilinear, param, name)
  18 {
  19 }
  20
  21 std::unique_ptr<IWorkload> ResizeBilinearLayer::CreateWorkload(const Graph& graph,
  22                                                                const IWorkloadFactory& factory) const
  23 {
  24     ResizeBilinearQueueDescriptor descriptor;
  25     return factory.CreateResizeBilinear(descriptor, PrepInfoAndDesc(descriptor, graph));
  26 }
  27
  28 ResizeBilinearLayer* ResizeBilinearLayer::Clone(Graph& graph) const
  29 {
  30     return CloneBase<ResizeBilinearLayer>(graph, m_Param, GetName());
  31 }
  32
  33 std::vector<TensorShape> ResizeBilinearLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
  34 {
  35     BOOST_ASSERT(inputShapes.size() == 1);
  36     const TensorShape& inputShape = inputShapes[0];
  37
  38     unsigned int outWidth = m_Param.m_TargetWidth;
  39     unsigned int outHeight = m_Param.m_TargetHeight;
  40     unsigned int outChannels = inputShape[m_Param.m_DataLayout.GetChannelsIndex()];
  41     unsigned int outBatch = inputShape[0];
  42
  43     TensorShape tensorShape = m_Param.m_DataLayout == armnn::DataLayout::NHWC ?
  44         TensorShape( { outBatch, outHeight, outWidth, outChannels } ) :
  45         TensorShape( { outBatch, outChannels, outHeight, outWidth });
  46
  47     return std::vector<TensorShape>({ tensorShape });
  48 }
  49
  50 void ResizeBilinearLayer::ValidateTensorShapesFromInputs()
  51 {
  52     VerifyLayerConnections(1, CHECK_LOCATION());
  53
  54     auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
  55
  56     BOOST_ASSERT(inferredShapes.size() == 1);
  57
  58     ConditionalThrowIfNotEqual<LayerValidationException>(
  59         "ResizeBilinearLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
  60         GetOutputSlot(0).GetTensorInfo().GetShape(),
  61         inferredShapes[0]);
  62 }
  63
  64 } // namespace armnn