Compute Library
 21.05
FullyConnectedLayerNode.h
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24 #ifndef ARM_COMPUTE_GRAPH_FULLY_CONNECTED_LAYER_NODE_H
25 #define ARM_COMPUTE_GRAPH_FULLY_CONNECTED_LAYER_NODE_H
26 
28 
29 namespace arm_compute
30 {
31 namespace graph
32 {
33 /** Fully Connected Layer node */
34 class FullyConnectedLayerNode final : public INode
35 {
36 public:
37  /** Constructor
38  *
39  * @param[in] num_outputs Number of neurons in the layer
40  * @param[in] out_quant_info (Optional) Output quantization info
41  * @param[in] fc_info (Optional) Additional information about the fully connected layer
42  */
44  QuantizationInfo out_quant_info = QuantizationInfo(),
46  /** Sets fused activation
47  *
48  * @param[in] fused_activation Fused activation to set
49  */
50  void set_fused_activation(ActivationLayerInfo fused_activation);
51  /** Computes weights descriptor
52  *
53  * @warning Works for inputs with 1D batch space
54  *
55  * @param[in] input_descriptor Input descriptor
56  * @param[in] num_outputs Number of output neurons
57  * @param[in] fc_info (Optional) Additional information about the fully connected layer
58  * @param[in] weights_quant_info (Optional) Weights quantization info
59  *
60  * @return Weights descriptor
61  */
62  static TensorDescriptor compute_weights_descriptor(const TensorDescriptor &input_descriptor,
63  unsigned int num_outputs,
65  const QuantizationInfo &weights_quant_info = QuantizationInfo());
66  /** Computes fully connected layer output descriptor
67  *
68  * @warning Works for inputs with 1D batch space
69  *
70  * @param[in] input_descriptor Input descriptor
71  * @param[in] num_outputs Number of output neurons
72  * @param[in] out_quant_info (Optional) Weights quantization info
73  *
74  * @return Output descriptor
75  */
76  static TensorDescriptor compute_output_descriptor(const TensorDescriptor &input_descriptor,
77  unsigned int num_outputs,
78  const QuantizationInfo &out_quant_info = QuantizationInfo());
79  /** Fully connected layer addition information
80  *
81  * @return Additional information about the fully connected layer
82  */
84 
85  // Inherited overridden methods:
86  NodeType type() const override;
87  bool forward_descriptors() override;
88  TensorDescriptor configure_output(size_t idx) const override;
89  void accept(INodeVisitor &v) override;
90 
92 
93 private:
94  unsigned int _num_outputs;
95  QuantizationInfo _out_quant_info;
97 };
98 } // namespace graph
99 } // namespace arm_compute
100 #endif /* ARM_COMPUTE_GRAPH_FULLY_CONNECTED_LAYER_NODE_H */
size_t num_outputs() const
Returns number of outputs of the node.
Definition: INode.cpp:183
FullyConnectedLayerInfo info() const
Fully connected layer addition information.
void accept(INodeVisitor &v) override
Accepts a node visitor.
Fully connected layer info.
Definition: Types.h:1541
Activation Layer Information class.
Definition: Types.h:1478
Copyright (c) 2017-2021 Arm Limited.
Quantization information.
Node interface.
Definition: INode.h:45
TensorDescriptor configure_output(size_t idx) const override
Calculates output configuration.
static TensorDescriptor compute_output_descriptor(const TensorDescriptor &input_descriptor, unsigned int num_outputs, const QuantizationInfo &out_quant_info=QuantizationInfo())
Computes fully connected layer output descriptor.
NodeType
Supported nodes.
Definition: Types.h:148
NodeType type() const override
Returns node's type.
void set_fused_activation(ActivationLayerInfo fused_activation)
Sets fused activation.
FullyConnectedLayerNode(unsigned int num_outputs, QuantizationInfo out_quant_info=QuantizationInfo(), FullyConnectedLayerInfo fc_info=FullyConnectedLayerInfo())
Constructor.
bool forward_descriptors() override
Forwards descriptor information to outputs if possible.
static TensorDescriptor compute_weights_descriptor(const TensorDescriptor &input_descriptor, unsigned int num_outputs, FullyConnectedLayerInfo fc_info=FullyConnectedLayerInfo(), const QuantizationInfo &weights_quant_info=QuantizationInfo())
Computes weights descriptor.
Node visitor interface.
Definition: INodeVisitor.h:34