Variable

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. def *(a: Double): Variable[T]

5. def *(a: Variable[T]): Variable[T]

6. def +(a: Double): Variable[T]

7. def +(a: Variable[T]): Variable[T]

8. def -(a: Double): Variable[T]

9. def -(a: Variable[T]): Variable[T]

10. def /(a: Double): Variable[T]

11. def /(other: Variable[T]): Variable[T]

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

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

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14. final def asInstanceOf[T0]: T0

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15. def clone(): AnyRef

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    protected[java.lang]

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

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17. def equals(arg0: Any): Boolean

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18. def finalize(): Unit

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    protected[java.lang]

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

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

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20. def getInputShape(): Shape

21. def getOutputShape(): Shape

22. def hashCode(): Int

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23. def indexSelect(dim: Int, index: Int): Variable[T]

    Select an index of the input in the given dim and return the subset part.

    Select an index of the input in the given dim and return the subset part. The batch dimension needs to be unchanged. The selected dim would be remove after this operation. For example, if input is: 1 2 3 4 5 6 Select(1, 1) will give output [2 5] Select(1, -1) will give output [3 6]

    dim

    The dimension to select. 0-based index. Cannot select the batch dimension. -1 means the last dimension of the input.

    index

    The index of the dimension to be selected. 0-based index. -1 means the last dimension of the input.

24. final def isInstanceOf[T0]: Boolean

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25. var name: String

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

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27. val node: ModuleNode[T]

28. final def notify(): Unit

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29. final def notifyAll(): Unit

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30. def replicate(axis: Int, times: Int): Variable[T]

31. def slice(dim: Int, startIndex: Int, length: Int): Variable[T]

    Same as Narrow in torch.

    Same as Narrow in torch. Slice the input with the number of dimensions not being reduced. The batch dimension needs to be unchanged. For example, if input is: 1 2 3 4 5 6 slice(1, 1, 2) will give output 2 3 5 6 slice(1, 2, -1) will give output 3 6

    dim

    The dimension to narrow. 0-based index. Cannot narrow the batch dimension. -1 means the last dimension of the input.

    startIndex

    Non-negative integer. The start index on the given dimension. 0-based index.

    length

    The length to be sliced. Default is 1.

32. def squeeze(dim: Int): Variable[T]

    Delete the singleton dimension(s).

    Delete the singleton dimension(s). The batch dimension needs to be unchanged. For example, if input has size (2, 1, 3, 4, 1): Squeeze(dim = 1) will give output size (2, 3, 4, 1) Squeeze(dims = null) will give output size (2, 3, 4)

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

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34. def toString(): String

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35. def unary_-(): Variable[T]

36. final def wait(): Unit

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

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

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