src/armnn/layers/NormalizationLayer.cpp

   1 //
   2 // Copyright © 2017 Arm Ltd. All rights reserved.
   3 // SPDX-License-Identifier: MIT
   4 //
   5 #include "NormalizationLayer.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 NormalizationLayer::NormalizationLayer(const NormalizationDescriptor& param, const char* name)
  17     : LayerWithParameters(1, 1, LayerType::Normalization, param, name)
  18 {
  19 }
  20
  21 std::unique_ptr<IWorkload> NormalizationLayer::CreateWorkload(const Graph& graph, const IWorkloadFactory& factory) const
  22 {
  23     NormalizationQueueDescriptor descriptor;
  24     return factory.CreateNormalization(descriptor, PrepInfoAndDesc(descriptor, graph));
  25 }
  26
  27 NormalizationLayer* NormalizationLayer::Clone(Graph& graph) const
  28 {
  29     return CloneBase<NormalizationLayer>(graph, m_Param, GetName());
  30 }
  31
  32 void NormalizationLayer::ValidateTensorShapesFromInputs()
  33 {
  34     VerifyLayerConnections(1, CHECK_LOCATION());
  35
  36     auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
  37
  38     BOOST_ASSERT(inferredShapes.size() == 1);
  39
  40     ConditionalThrowIfNotEqual<LayerValidationException>(
  41         "NormalizationLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
  42         GetOutputSlot(0).GetTensorInfo().GetShape(),
  43         inferredShapes[0]);
  44 }
  45
  46 } // namespace armnn