34 std::vector<TensorShape>
InferOutputShapes(
const std::vector<TensorShape>& inputShapes)
const override;
42 m_Param.
m_TargetShape == boost::polymorphic_downcast<const ReshapeLayer*>(&other)->m_Param.m_TargetShape;
~ReshapeLayer()=default
Default destructor.
ReshapeDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Reshape type.
A ReshapeDescriptor for the ReshapeLayer.
bool IsEqual(const Layer &other) const
Indicates if the other layer received is equal to this one.
This layer represents a reshape operation.
ReshapeLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Copyright (c) 2020 ARM Limited.
TensorShape m_TargetShape
Target shape value.
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
ReshapeLayer(const ReshapeDescriptor &desc, const char *name)
Constructor to create a ReshapeLayer.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ReshapeLayer.
LayerType GetType() const
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
By default returns inputShapes if the number of inputs are equal to number of outputs, otherwise infers the output shapes from given input shapes and layer properties.