29 const bool IsMemoryManaged =
true)
override;
43 std::vector<TensorShape>
InferOutputShapes(
const std::vector<TensorShape>& inputShapes)
const override;
57 template <
typename FactoryType>
ConcatLayer(const OriginsDescriptor ¶m, const char *name)
Constructor to create a ConcatLayer.
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.
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Concat type.
Copyright (c) 2020 ARM Limited.
ConcatLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
An OriginsDescriptor for the ConcatLayer.
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ConcatLayer.
This layer represents a merge operation.
~ConcatLayer()=default
Default destructor.
ClWorkloadFactory FactoryType
virtual void CreateTensorHandles(const TensorHandleFactoryRegistry ®istry, const IWorkloadFactory &factory, const bool IsMemoryManaged=true) override
Set the outputs to be appropriate sub tensors of the input if sub tensors are supported otherwise cre...