src/armnn/layers/L2NormalizationLayer.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 "L2NormalizationLayer.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 L2NormalizationLayer::L2NormalizationLayer(const char* name)
  17     : Layer(1, 1, LayerType::L2Normalization, name)
  18 {
  19 }
  20
  21 std::unique_ptr<IWorkload> L2NormalizationLayer::CreateWorkload(const Graph& graph,
  22     const IWorkloadFactory& factory) const
  23 {
  24     L2NormalizationQueueDescriptor descriptor;
  25     return factory.CreateL2Normalization(descriptor, PrepInfoAndDesc(descriptor, graph));
  26 }
  27
  28 L2NormalizationLayer* L2NormalizationLayer::Clone(Graph& graph) const
  29 {
  30     return CloneBase<L2NormalizationLayer>(graph, GetName());
  31 }
  32
  33 void L2NormalizationLayer::ValidateTensorShapesFromInputs()
  34 {
  35     VerifyLayerConnections(1, CHECK_LOCATION());
  36
  37     auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
  38
  39     BOOST_ASSERT(inferredShapes.size() == 1);
  40
  41     ConditionalThrowIfNotEqual<LayerValidationException>(
  42         "L2NormalizationLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
  43         GetOutputSlot(0).GetTensorInfo().GetShape(),
  44         inferredShapes[0]);
  45 }
  46
  47 } // namespace armnn