org.apache.mxnet

NDArray

Related Docs: object NDArray | package mxnet

class NDArray extends WarnIfNotDisposed

NDArray object in mxnet. NDArray is basic ndarray/Tensor like data structure in mxnet.
WARNING: it is your responsibility to clear this object through dispose().

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WarnIfNotDisposed, AnyRef, Any
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  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): 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. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  42. def context: Context

    Get context of current NDArray.

    Get context of current NDArray.

    returns

    The context of current NDArray.

  43. def copy(): NDArray

    Clone the current array

    Clone the current array

    returns

    the copied NDArray in the same context

  44. 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

  45. 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

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

    Attributes
    protected
    Definition Classes
    WarnIfNotDisposed
  47. 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.

  48. 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

  49. 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

  50. def dtype: DType

    Get data type of current NDArray.

    Get data type of current NDArray.

    returns

    class representing type of current ndarray

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

    Definition Classes
    AnyRef
  52. def equals(o: Any): Boolean

    Definition Classes
    NDArray → AnyRef → Any
  53. def finalize(): Unit

    Attributes
    protected
    Definition Classes
    WarnIfNotDisposed → AnyRef
  54. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  55. def hashCode(): Int

    Definition Classes
    NDArray → AnyRef → Any
  56. def internal: NDArrayInternal

  57. def isDisposed: Boolean

    Definition Classes
    NDArrayWarnIfNotDisposed
  58. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  59. def logDisposeWarning(): Unit

    Attributes
    protected
    Definition Classes
    WarnIfNotDisposed
  60. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  61. final def notify(): Unit

    Definition Classes
    AnyRef
  62. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  63. 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.

  64. 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.

  65. def serialize(): Array[Byte]

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

  67. def set(other: NDArray): NDArray

  68. def set(value: Float): NDArray

    Set the values of the NDArray

    Set the values of the NDArray

    value

    Value to set

    returns

    Current NDArray

  69. def shape: Shape

    Get shape of current NDArray.

    Get shape of current NDArray.

    returns

    an array representing shape of current ndarray

  70. def size: Int

  71. 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.

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

  73. 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.

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

    Definition Classes
    AnyRef
  75. 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.

  76. 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.

  77. def toString(): String

    Definition Classes
    AnyRef → Any
  78. def tracingEnabled: Boolean

    Attributes
    protected
    Definition Classes
    WarnIfNotDisposed
  79. def unary_-(): NDArray

  80. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  81. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  82. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  83. 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.

  84. val writable: Boolean

Inherited from WarnIfNotDisposed

Inherited from AnyRef

Inherited from Any

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