NDArray

Value Members

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

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

3. def %(other: Float): NDArray

   

4. def %(other: NDArray): NDArray

   

5. def %=(other: Float): NDArray

   

6. def %=(other: NDArray): NDArray

   

7. def *(other: Float): NDArray

   

8. def *(other: NDArray): NDArray

   

9. def **(other: Float): NDArray

   

10. def **(other: NDArray): NDArray

    

11. def **=(other: Float): NDArray

    

12. def **=(other: NDArray): NDArray

    

13. def *=(other: Float): NDArray

    

14. def *=(other: NDArray): NDArray

    

15. def +(other: Float): NDArray

    

16. def +(other: NDArray): NDArray

    

17. def +=(other: Float): NDArray

    

18. def +=(other: NDArray): NDArray

    

19. def -(other: Float): NDArray

    

20. def -(other: NDArray): NDArray

    

21. def -=(other: Float): NDArray

    

22. def -=(other: NDArray): NDArray

    

23. def /(other: Float): NDArray

    

24. def /(other: NDArray): NDArray

    

25. def /=(other: Float): NDArray

    

26. def /=(other: NDArray): NDArray

    

27. def <(other: Float): NDArray

    

28. def <(other: NDArray): NDArray

    

29. def <=(other: Float): NDArray

    

30. def <=(other: NDArray): NDArray

    

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

    

    Definition Classes

    AnyRef → Any

32. def >(other: Float): NDArray

    

33. def >(other: NDArray): NDArray

    

34. def >=(other: Float): NDArray

    

35. def >=(other: NDArray): NDArray

    

36. def T: NDArray

    

37. def asInContext(context: Context): NDArray

    

    Return an NDArray that lives in the target context.

    Return an NDArray that lives in the target context. If the array is already in that context, self is returned. Otherwise, a copy is made.

    context

    The target context we want the return value to live in.

    returns

    A copy or self as an NDArray that lives in the target context.

38. final def asInstanceOf[T0]: T0

    

    Definition Classes

    Any

39. def asType(dtype: DType.DType): NDArray

    

    Return a copied numpy array of current array with specified type.

    Return a copied numpy array of current array with specified type.

    dtype

    Desired type of result array.

    returns

    A copy of array content.

40. def at(idx: Int): NDArray

    

    Return a sub NDArray that shares memory with current one.

    Return a sub NDArray that shares memory with current one. the first axis will be rolled up, which causes its shape different from slice(i, i+1)

    idx

    index of sub array.

41. val bytesAllocated: Long

    

    Off-Heap Bytes Allocated for this object

    Off-Heap Bytes Allocated for this object

    Definition Classes

    NDArray → NativeResource

42. def clone(): AnyRef

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

43. def close(): Unit

    

    Definition Classes

    NativeResource → AutoCloseable

44. def context: Context

    

    Get context of current NDArray.

    Get context of current NDArray.

    returns

    The context of current NDArray.

45. def copy(): NDArray

    

    Clone the current array

    Clone the current array

    returns

    the copied NDArray in the same context

46. def copyTo(ctx: Context): NDArray

    

    Copy the content of current array to a new NDArray in the context.

    Copy the content of current array to a new NDArray in the context.

    ctx

    Target context we want to copy data to.

    returns

    The copy target NDArray

47. def copyTo(other: NDArray): NDArray

    

    Copy the content of current array to other.

    Copy the content of current array to other.

    other

    Target NDArray or context we want to copy data to.

    returns

    The copy target NDArray

48. val creationTrace: Option[Array[StackTraceElement]]

    

    Attributes

    protected

    Definition Classes

    WarnIfNotDisposed

49. def dispose(): Unit

    

    Release the native memory.

    Release the native memory.
    The NDArrays it depends on will NOT be disposed.
    The object shall never be used after it is disposed.

    Definition Classes

    NDArray → NativeResource

50. def disposeDeps(): NDArray

    

    Dispose all NDArrays who help to construct this array.

    Dispose all NDArrays who help to construct this array.
    e.g. (a * b + c).disposeDeps() will dispose a, b, c (including their deps) and a * b

    returns

    this array

51. def disposeDepsExcept(arrs: NDArray*): NDArray

    

    Dispose all NDArrays who help to construct this array, excepts those in the arguments.

    Dispose all NDArrays who help to construct this array, excepts those in the arguments.
    e.g. (a * b + c).disposeDepsExcept(a, b) will dispose c and a * b. Note that a, b's dependencies will not be disposed either.

    returns

    this array

52. def dtype: DType.DType

    

    Get data type of current NDArray.

    Get data type of current NDArray.

    returns

    class representing type of current ndarray

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

    

    Definition Classes

    AnyRef

54. def equals(o: Any): Boolean

    

    Definition Classes

    NDArray → AnyRef → Any

55. def finalize(): Unit

    

    Attributes

    protected

    Definition Classes

    WarnIfNotDisposed → AnyRef

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

    

    Definition Classes

    AnyRef → Any

57. def hashCode(): Int

    

    Definition Classes

    NDArray → AnyRef → Any

58. def internal: NDArrayInternal

    

59. def isDisposed: Boolean

    

    Definition Classes

    NativeResource → WarnIfNotDisposed

60. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

61. def logDisposeWarning(): Unit

    

    Attributes

    protected

    Definition Classes

    WarnIfNotDisposed

62. def nativeAddress: CPtrAddress

    

    native Address associated with this object

    native Address associated with this object

    Definition Classes

    NDArray → NativeResource

63. def nativeDeAllocator: (CPtrAddress) ⇒ Int

    

    Function Pointer to the NativeDeAllocator of nativeAddress

    Function Pointer to the NativeDeAllocator of nativeAddress

    Definition Classes

    NDArray → NativeResource

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

    

    Definition Classes

    AnyRef

65. final def notify(): Unit

    

    Definition Classes

    AnyRef

66. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

67. val ref: NativeResourceRef

    

    Call NativeResource.register to get the reference

    Call NativeResource.register to get the reference

    Definition Classes

    NDArray → NativeResource

68. def register(): NativeResourceRef

    

    Register this object for PhantomReference tracking and in ResourceScope if used inside ResourceScope.

    Register this object for PhantomReference tracking and in ResourceScope if used inside ResourceScope.

    returns

    NativeResourceRef that tracks reachability of this object using PhantomReference

    Definition Classes

    NativeResource

69. def reshape(dims: Shape): NDArray

    

    Return a reshaped NDArray that shares memory with current one.

    Return a reshaped NDArray that shares memory with current one.

    dims

    New shape.

    returns

    a reshaped NDArray that shares memory with current one.

70. def reshape(dims: Array[Int]): NDArray

    

    Return a reshaped NDArray that shares memory with current one.

    Return a reshaped NDArray that shares memory with current one.

    dims

    New shape.

    returns

    a reshaped NDArray that shares memory with current one.

71. def serialize(): Array[Byte]

    

72. def set(other: Array[Float]): NDArray

    

73. def set(other: NDArray): NDArray

    

74. def set(value: Float): NDArray

    

    Set the values of the NDArray

    Set the values of the NDArray

    value

    Value to set

    returns

    Current NDArray

75. def shape: Shape

    

    Get shape of current NDArray.

    Get shape of current NDArray.

    returns

    an array representing shape of current ndarray

76. def size: Int

    

77. def slice(i: Int): NDArray

    

    Return a sliced NDArray at the ith position of axis0

    Return a sliced NDArray at the ith position of axis0

    i

    returns

    a sliced NDArray that shares memory with current one.

78. def slice(range: (Int, Int)): NDArray

    

79. def slice(start: Int, stop: Int): NDArray

    

    Return a sliced NDArray that shares memory with current one.

    Return a sliced NDArray that shares memory with current one. NDArray only support continuous slicing on axis 0

    start

    Starting index of slice.

    stop

    Finishing index of slice.

    returns

    a sliced NDArray that shares memory with current one.

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

    

    Definition Classes

    AnyRef

81. def toArray: Array[Float]

    

    Return a copied flat java array of current array (row-major).

    Return a copied flat java array of current array (row-major).

    returns

    A copy of array content.

82. def toScalar: Float

    

    Return a CPU scalar(float) of current ndarray.

    Return a CPU scalar(float) of current ndarray. This ndarray must have shape (1,)

    returns

    The scalar representation of the ndarray.

83. def toString(): String

    

    Definition Classes

    AnyRef → Any

84. def tracingEnabled: Boolean

    

    Attributes

    protected

    Definition Classes

    WarnIfNotDisposed

85. def unary_-(): NDArray

    

86. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

89. def waitToRead(): Unit

    

    Block until all pending writes operations on current NDArray are finished.

    Block until all pending writes operations on current NDArray are finished. This function will return when all the pending writes to the current NDArray finishes. There can still be pending read going on when the function returns.

90. val writable: Boolean