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object Tensor

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Type Members

  1. class Datatype[T] extends AnyRef
  2. class DimensionEmptyException extends Exception
  3. class DimensionSizeInconsistentException extends Exception
  4. class DimensionSizeMismatchException extends Exception
  5. class ShapeDataMismatchException extends Exception
  6. class ShapeMismatchException extends Exception

Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  4. def add[T](left: Tensor[T], right: Tensor[T])(implicit arg0: Numeric[T], arg1: ClassTag[T]): Tensor[T]
  5. def apply[T](matrix: Array[Array[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T]): Tensor[T]
  6. final def asInstanceOf[T0]: T0
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  7. def clone(): AnyRef
    Attributes
    protected[lang]
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    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  8. final def eq(arg0: AnyRef): Boolean
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  9. def equals(arg0: Any): Boolean
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  10. def fill[T](shape: Shape)(element: T)(implicit arg0: Numeric[T], arg1: ClassTag[T]): Tensor[T]
  11. def flatten[T](arr: Array[Array[Array[Array[T]]]])(implicit arg0: ClassTag[T]): Array[T]
  12. def flatten[T](arr: Array[Array[Array[T]]])(implicit arg0: ClassTag[T]): Array[T]
  13. def fromInputStream[T](datatype: Datatype[T], shape: Shape, stream: InputStream)(implicit arg0: Numeric[T], arg1: ClassTag[T]): Tensor[T]
  14. final def getClass(): Class[_]
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    @native() @HotSpotIntrinsicCandidate()
  15. def goldenConv[T](image: Tensor[T], filter: Tensor[T], paddingElement: T)(implicit arg0: Numeric[T], arg1: ClassTag[T]): Tensor[T]
  16. def goldenMatMatMul[T](a: Array[Array[T]], b: Array[Array[T]])(implicit arg0: Numeric[T], arg1: ClassTag[T]): Array[Array[T]]
  17. def goldenMatVecMul[T](mat: Array[Array[T]], vec: Array[T])(implicit arg0: Numeric[T], arg1: ClassTag[T]): Array[T]
  18. def goldenMaxPool[T](image: Tensor[T], poolH: Int, poolW: Int, stride: Int)(implicit arg0: Numeric[T], arg1: ClassTag[T]): Tensor[T]
  19. def hashCode(): Int
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    @native() @HotSpotIntrinsicCandidate()
  20. final def isInstanceOf[T0]: Boolean
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  21. def matMul[T](a: Tensor[T], b: Tensor[T])(implicit arg0: Numeric[T], arg1: ClassTag[T]): Tensor[T]
  22. def mul[T](left: Tensor[T], right: Tensor[T])(implicit arg0: Numeric[T], arg1: ClassTag[T]): Tensor[T]
  23. final def ne(arg0: AnyRef): Boolean
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  24. final def notify(): Unit
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    @native() @HotSpotIntrinsicCandidate()
  25. final def notifyAll(): Unit
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    @native() @HotSpotIntrinsicCandidate()
  26. def offset(shape: Shape, index: Array[Int]): Int
  27. def paddingForSame(filterShape: (Int, Int)): Array[(Int, Int)]
  28. def pointwise[T](op: (T, T) ⇒ T, left: Tensor[T], right: Tensor[T])(implicit arg0: Numeric[T], arg1: ClassTag[T]): Tensor[T]
  29. def resultTensorForConvolution(imageShape: Shape, filterShape: Shape, padding: Array[(Int, Int)]): Tensor[BigInt]
  30. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
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  31. def toString(): String
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  32. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  33. final def wait(arg0: Long): Unit
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    @throws( ... ) @native()
  34. final def wait(): Unit
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    @throws( ... )
  35. object Datatype extends Enumeration

Deprecated Value Members

  1. def finalize(): Unit
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    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

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