com.intel.analytics.bigdl.utils.tf

Context

class Context[T] extends AnyRef

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Instance Constructors

  1. new Context()

  2. new Context(tensorsMap: HashMap[String, (Tensor[T], Tensor[T], Option[Seq[(Int, Int)]])])

Value Members

  1. final def !=(arg0: AnyRef): Boolean

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  2. final def !=(arg0: Any): Boolean

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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  5. final def ==(arg0: Any): Boolean

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  6. def apply(key: String): (Tensor[T], Tensor[T], Option[Seq[(Int, Int)]])

    Return weight, gradient and shape info

    Return weight, gradient and shape info

    key
    returns

  7. final def asInstanceOf[T0]: T0

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  8. def assignGrads: Option[Set[(String, String)]]

  9. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )

  10. def containsTensor(key: String): Boolean

  11. final def eq(arg0: AnyRef): Boolean

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  12. def equals(arg0: Any): Boolean

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  13. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )

  14. final def getClass(): Class[_]

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  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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  17. final def ne(arg0: AnyRef): Boolean

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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  20. def putTensor(key: String, value: (Tensor[T], Tensor[T], Option[Seq[(Int, Int)]])): Context.this.type

  21. def setAssignGrads(set: Set[(String, String)]): Context.this.type

  22. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
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  23. def tensorNames(): Set[String]

  24. def tensors(): Iterable[(Tensor[T], Tensor[T], Option[Seq[(Int, Int)]])]

  25. def toString(): String

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  26. def update(key: String, value: (Tensor[T], Tensor[T], Option[Seq[(Int, Int)]])): Context.this.type

  27. final def wait(): Unit

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  28. final def wait(arg0: Long, arg1: Int): Unit

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  29. final def wait(arg0: Long): Unit

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