SparseTensorBLAS

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. final def asInstanceOf[T0]: T0

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7. def clone(): AnyRef

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   protected[java.lang]

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8. def coomm[T](alpha: T, mat1: Tensor[T], mat2: Tensor[T], beta: T, r: Tensor[T])(implicit ev: TensorNumeric[T]): Unit

9. def coomv[T](alpha: T, mat: Tensor[T], vec: Tensor[T], beta: T, r: Tensor[T])(implicit ev: TensorNumeric[T]): Unit

   Perform r := beta * r + alpha * mat * vec mat should be a 2D SparseTensor, vec should be a 1D DenseTensor, r should be a 2D DenseTensor.

   Perform r := beta * r + alpha * mat * vec mat should be a 2D SparseTensor, vec should be a 1D DenseTensor, r should be a 2D DenseTensor.

   T

   numeric type

   alpha

   alpha

   mat

   a 2D SparseTensor

   vec

   a 1D DenseTensor

   beta

   beta

   r

   result, 2D DenseTensor

   ev

   tensor numeric

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

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11. def equals(arg0: Any): Boolean

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12. def finalize(): Unit

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

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14. def hashCode(): Int

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15. final def isInstanceOf[T0]: Boolean

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

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17. final def notify(): Unit

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18. final def notifyAll(): Unit

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

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20. def toString(): String

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21. def vdot[T](vec1: DenseTensor[T], vec2: SparseTensor[T]): T

    Perform vector dot product of vec1, and vec2

22. final def wait(): Unit

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

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

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