29 return CloneBase<InstanceNormalizationLayer>(graph,
m_Param,
GetName());
38 BOOST_ASSERT(inferredShapes.size() == 1);
40 ConditionalThrowIfNotEqual<LayerValidationException>(
41 "InstanceNormalizationLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
const char * GetName() const override
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
virtual const TensorInfo & GetTensorInfo() const =0
InstanceNormalizationLayer(const InstanceNormalizationDescriptor ¶m, const char *name)
void ValidateTensorShapesFromInputs() override
virtual void VisitInstanceNormalizationLayer(const IConnectableLayer *layer, const InstanceNormalizationDescriptor &desc, const char *name=nullptr)=0
const InstanceNormalizationDescriptor & GetParameters() const
InstanceNormalizationDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
An InstanceNormalizationDescriptor for InstanceNormalizationLayer.
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
void Accept(ILayerVisitor &visitor) const override
InstanceNormalizationLayer * Clone(Graph &graph) const override
virtual std::unique_ptr< IWorkload > CreateInstanceNormalization(const InstanceNormalizationQueueDescriptor &descriptor, const WorkloadInfo &info) const
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
This layer represents an instance normalization operation.
const TensorShape & GetShape() const
const TensorInfo & GetTensorInfo() const override
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
const InputSlot & GetInputSlot(unsigned int index) const override