com.intel.analytics.bigdl.tensor

TensorNumericMath

object TensorNumericMath

Math operation for tensor

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  1. type NumericWildCard = Any

  2. type NumericWildcard = Any

    This type is used to denote that the numeric type of tensor is not restricted.

    This type is used to denote that the numeric type of tensor is not restricted. The use-case usually is used to do some tensor operations when we do not make sure their concrete types, but they must have the same type.

    For example if we want to copy tensor1 from tensor2, and we only know they are the same type tensor without the information about their concrete type.

    We can use the following code:

    tensor1.asInstanceOf[Tensor[NumericWildcard]] .copy(tensor2.asInstanceOf[Tensor[NumericWildcard]])

  3. trait TensorNumeric[T] extends Serializable

    define tensor math operation

  4. class TensorNumericOps[T] extends AnyRef

    Numerical operation for type T

  5. abstract class UndefinedTensorNumeric[T] extends TensorNumeric[T]

    define tensor math operation

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  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. object TensorNumeric extends Serializable

  7. final def asInstanceOf[T0]: T0

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  8. def clone(): AnyRef

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  11. def finalize(): Unit

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

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  14. final def isInstanceOf[T0]: Boolean

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

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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

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  19. def toString(): String

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  20. final def wait(): Unit

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

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

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