File: device-abstraction-uml.puml

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tiny-dnn 1.0.0a3%2Bds-5
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@startuml
class Session {
 -String name
  void schedule_session()
  void run_session()
}

abstract class Device {
 -int id
}

class Node {
}

class Edge {
 - shape3d shape
}

abstract class Layer {
 - String layer_type
 virtual void forward_propagation()
 virtual void backward_propagation()
}

class ConvolutionalLayer {
}

class MaxPoolingLayer {
}

abstract class Backend {
 virtual void matmul()
 virtual pool2d()
 virtual conv2d()
 virtual conv2d_back()
}

class TinyCNNBackend {
}

class NNPackBackend {
}

class LibDNNBackend {
}

Session *-- Device

Device <|-- CPUDevice
Device <|-- OCLDevice

Node <|-- Layer
Node *-- Edge : prev
Node *-- Edge : next

Edge --> Node : prev
Edge *-- Node : next
Edge *-- Data : data
Edge *-- Data : grad

Layer <|-- ConvolutionalLayer
Layer <|-- MaxPoolingLayer

Device *-- Backend : own_list
ConvolutionalLayer *-- Backend : backend
MaxPoolingLayer *-- Backend : backend

Backend <|-- TinyCNNBackend
Backend <|-- NNPackBackend
Backend <|-- LibDNNBackend

@enduml