object Conv2D extends TensorflowToBigDL

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  1. final def !=(arg0: Any): Boolean
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  5. def clone(): AnyRef
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  8. def finalize(): Unit
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  9. def getBoolean(attrMap: Map[String, AttrValue], key: String): Boolean
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    TensorflowToBigDL
  10. final def getClass(): Class[_]
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  11. def getInt(attrMap: Map[String, AttrValue], key: String): Int
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    TensorflowToBigDL
  12. def getIntList(attrMap: Map[String, AttrValue], key: String): Seq[Int]
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    TensorflowToBigDL
  13. def getOrSetTensor[T](node: NodeDef, context: Context[T], byteOrder: ByteOrder, trans: Option[Seq[(Int, Int)]] = None)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): (Tensor[T], Tensor[T])
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    TensorflowToBigDL
  14. def getString(attrMap: Map[String, AttrValue], key: String): String
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    TensorflowToBigDL
  15. def getType(attrMap: Map[String, AttrValue], key: String): DataType
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  16. def hashCode(): Int
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  17. final def isInstanceOf[T0]: Boolean
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  18. def layer[T](tfGraph: DirectedGraph[NodeDef], context: Context[T], byteOrder: ByteOrder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): AbstractModule[Activity, Activity, T]

    Get the BigDL model

    Get the BigDL model

    tfGraph

    operation graph

    context

    variables

    returns

    (module, input nodes, output nodes)

    Definition Classes
    Conv2DTensorflowToBigDL
  19. final def ne(arg0: AnyRef): Boolean
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  20. final def notify(): Unit
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  21. final def notifyAll(): Unit
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  22. final def synchronized[T0](arg0: ⇒ T0): T0
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  23. def toString(): String
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  24. def topology: DirectedGraph[String]

    The topology of the tensorflow operation graph

    The topology of the tensorflow operation graph

    Definition Classes
    Conv2DTensorflowToBigDL
  25. final def wait(): Unit
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  26. final def wait(arg0: Long, arg1: Int): Unit
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  27. final def wait(arg0: Long): Unit
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