35 return std::vector<TensorShape>({
m_Param.m_BroadcastToShape });
46 auto inferredShapes = outputShape;
BroadcastToLayer(const BroadcastToDescriptor ¶m, const char *name)
Constructor to create a BroadcastToLayer.
void ExecuteStrategy(IStrategy &strategy) const override
Execute Strategy on BroadcastTo layer.
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Infers the output shapes from given input shapes and layer properties.
void ValidateTensorShapesFromInputs() override
Check if the input tensor BroadcastTo(s) will lead to a valid configuration of BroadcastToLayer.
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the BroadcastTo type.
BroadcastToLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
virtual void ExecuteStrategy(const IConnectableLayer *layer, const armnn::BaseDescriptor &descriptor, const std::vector< armnn::ConstTensor > &constants, const char *name, const armnn::LayerBindingId id=0)=0
virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const =0
Backends should implement their own CreateWorkload function with a switch statement.
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
LayerType * CloneBase(Graph &graph, Params &&... params) const
const char * GetName() const override
Returns the name of the layer.
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
void SetAdditionalInfo(QueueDescriptor &descriptor) const
ShapeInferenceMethod m_ShapeInferenceMethod
LayerWithParameters(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const BroadcastToDescriptor ¶m, const char *name)
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
const BroadcastToDescriptor & GetParameters() const override
BroadcastToDescriptor m_Param
const TensorInfo & GetTensorInfo() const override
const TensorShape & GetShape() const
Copyright (c) 2021 ARM Limited and Contributors.
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.