| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // See LICENSE file in the project root for full license information. |
| // |
| #include "NormalizationLayer.hpp" |
| |
| #include "LayerCloneBase.hpp" |
| |
| #include <armnn/TypesUtils.hpp> |
| #include <backends/WorkloadData.hpp> |
| #include <backends/WorkloadFactory.hpp> |
| |
| namespace armnn |
| { |
| |
| NormalizationLayer::NormalizationLayer(const NormalizationDescriptor& param, const char* name) |
| : LayerWithParameters(1, 1, LayerType::Normalization, param, name) |
| { |
| } |
| |
| std::unique_ptr<IWorkload> NormalizationLayer::CreateWorkload(const Graph& graph, const IWorkloadFactory& factory) const |
| { |
| NormalizationQueueDescriptor descriptor; |
| return factory.CreateNormalization(descriptor, PrepInfoAndDesc(descriptor, graph)); |
| } |
| |
| NormalizationLayer* NormalizationLayer::Clone(Graph& graph) const |
| { |
| return CloneBase<NormalizationLayer>(graph, m_Param, GetName()); |
| } |
| |
| void NormalizationLayer::ValidateTensorShapesFromInputs() |
| { |
| ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection() != nullptr, |
| "NormalizationLayer: Input slot must be connected."); |
| |
| const TensorShape& outShape = GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape(); |
| ConditionalThrowIfNotEqual<LayerValidationException>( |
| "NormalizationLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.", |
| GetOutputSlot(0).GetTensorInfo().GetShape(), |
| outShape); |
| } |
| |
| } // namespace armnn |