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37 std::vector<TensorShape>
InferOutputShapes(
const std::vector<TensorShape>& inputShapes)
const override;
45 m_Param.
m_TargetShape == PolymorphicDowncast<const ReshapeLayer*>(&other)->m_Param.m_TargetShape;
bool IsEqual(const Layer &other) const
Indicates if the other layer received is equal to this one.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ReshapeLayer.
ReshapeLayer(const ReshapeDescriptor &desc, const char *name)
Constructor to create a ReshapeLayer.
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,...
This layer represents a reshape operation.
ReshapeDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
A ReshapeDescriptor for the ReshapeLayer.
ReshapeLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
TensorShape m_TargetShape
Target shape value.
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Reshape type.
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
LayerType GetType() const override
Returns the armnn::LayerType of this layer.
~ReshapeLayer()=default
Default destructor.
Copyright (c) 2021 ARM Limited and Contributors.