| // |
| // Copyright © 2019 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| #include "InstanceNormalizationLayer.hpp" |
| |
| #include "LayerCloneBase.hpp" |
| |
| #include <armnn/TypesUtils.hpp> |
| #include <backendsCommon/WorkloadData.hpp> |
| #include <backendsCommon/WorkloadFactory.hpp> |
| |
| namespace armnn |
| { |
| |
| InstanceNormalizationLayer::InstanceNormalizationLayer(const InstanceNormalizationDescriptor& param, const char* name) |
| : LayerWithParameters(1, 1, LayerType::InstanceNormalization, param, name) |
| { |
| } |
| |
| std::unique_ptr<IWorkload> InstanceNormalizationLayer::CreateWorkload(const IWorkloadFactory& factory) const |
| { |
| InstanceNormalizationQueueDescriptor descriptor; |
| return factory.CreateInstanceNormalization(descriptor, PrepInfoAndDesc(descriptor)); |
| } |
| |
| InstanceNormalizationLayer* InstanceNormalizationLayer::Clone(Graph& graph) const |
| { |
| return CloneBase<InstanceNormalizationLayer>(graph, m_Param, GetName()); |
| } |
| |
| void InstanceNormalizationLayer::ValidateTensorShapesFromInputs(ShapeInferenceMethod shapeInferenceMethod) |
| { |
| IgnoreUnused(shapeInferenceMethod); |
| |
| VerifyLayerConnections(1, CHECK_LOCATION()); |
| |
| auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() }); |
| |
| ARMNN_ASSERT(inferredShapes.size() == 1); |
| |
| ConditionalThrowIfNotEqual<LayerValidationException>( |
| "InstanceNormalizationLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.", |
| GetOutputSlot(0).GetTensorInfo().GetShape(), |
| inferredShapes[0]); |
| } |
| |
| void InstanceNormalizationLayer::Accept(ILayerVisitor& visitor) const |
| { |
| visitor.VisitInstanceNormalizationLayer(this, GetParameters(), GetName()); |
| } |
| |
| } // namespace armnn |