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     ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection() != nullptr,
  36                      "L2NormalizationLayer: InputSlot must be connected to an OutputSlot");
  37     ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection()->IsTensorInfoSet(),
  38                      "L2NormalizationLayer: TensorInfo must be set on connected OutputSlot.");
  39
  40     IOutputSlot* input = GetInputSlot(0).GetConnection();
  41
  42     // input and output shapes are the same
  43     TensorShape const& outShape = input->GetTensorInfo().GetShape();
  44     ConditionalThrowIfNotEqual<LayerValidationException>(
  45         "L2NormalizationLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
  46         GetOutputSlot(0).GetTensorInfo().GetShape(),
  47         outShape);
  48 }
  49
  50 } // namespace armnn