12 class ScopedTensorHandle;
23 std::shared_ptr<ConstTensorHandle>
m_Bias;
44 std::vector<TensorShape>
InferOutputShapes(
const std::vector<TensorShape>& inputShapes)
const override;
47 void Accept(ILayerVisitor& visitor)
const override;
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the FullyConnected type.
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.
#define ARMNN_NO_DEPRECATE_WARN_BEGIN
ConstantTensors GetConstantTensorsByRef() override
Retrieve the handles to the constant values stored by the layer.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of FullyConnectedLayer.
ARMNN_NO_DEPRECATE_WARN_BEGIN void Accept(ILayerVisitor &visitor) const override
FullyConnectedLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Copyright (c) 2021 ARM Limited and Contributors.
FullyConnectedLayer(const FullyConnectedDescriptor ¶m, const char *name)
Constructor to create a FullyConnectedLayer.
ARMNN_NO_DEPRECATE_WARN_END void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
~FullyConnectedLayer()=default
Default destructor.
std::vector< std::reference_wrapper< std::shared_ptr< ConstTensorHandle > >> ConstantTensors
This layer represents a fully connected operation.
#define ARMNN_NO_DEPRECATE_WARN_END
std::shared_ptr< ConstTensorHandle > m_Weight
A unique pointer to store Weight values.
A FullyConnectedDescriptor for the FullyConnectedLayer.
std::shared_ptr< ConstTensorHandle > m_Bias
A unique pointer to store Bias values.