org.apache.mxnet.javaapi

UpSamplingParam

Related Doc: package javaapi

class UpSamplingParam extends AnyRef

This Param Object is specifically used for UpSampling

Linear Supertypes
AnyRef, Any
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. UpSamplingParam
  2. AnyRef
  3. Any
  1. Hide All
  2. Show all
Learn more about member selection
Visibility
  1. Public
  2. All

Instance Constructors

  1. new UpSamplingParam(data: Array[NDArray], scale: Integer, sample_type: String, num_args: Integer)

    data

    Array of tensors to upsample. For bilinear upsampling, there should be 2 inputs - 1 data and 1 weight.

    scale

    Up sampling scale

    sample_type

    upsampling method

    num_args

    Number of inputs to be upsampled. For nearest neighbor upsampling, this can be 1-N; the size of output will be(scale*h_0,scale*w_0) and all other inputs will be upsampled to thesame size. For bilinear upsampling this must be 2; 1 input and 1 weight.

Value Members

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

    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  5. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  7. def equals(arg0: Any): Boolean

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

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  9. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  10. def getData(): Array[NDArray]

  11. def getMulti_input_mode(): String

  12. def getNum_args(): Integer

  13. def getNum_filter(): Integer

  14. def getOut(): mxnet.NDArray

  15. def getSample_type(): String

  16. def getScale(): Integer

  17. def getWorkspace(): Long

  18. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  19. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  20. final def ne(arg0: AnyRef): Boolean

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

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

    Definition Classes
    AnyRef
  23. def setMulti_input_mode(multi_input_mode: String): UpSamplingParam

    multi_input_mode

    How to handle multiple input. concat means concatenate upsampled images along the channel dimension. sum means add all images together, only available for nearest neighbor upsampling.

  24. def setNum_filter(num_filter: Integer): UpSamplingParam

    num_filter

    Input filter. Only used by bilinear sample_type.Since bilinear upsampling uses deconvolution, num_filters is set to the number of channels.

  25. def setOut(out: NDArray): UpSamplingParam

  26. def setWorkspace(workspace: Long): UpSamplingParam

    workspace

    Tmp workspace for deconvolution (MB)

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

    Definition Classes
    AnyRef
  28. def toString(): String

    Definition Classes
    AnyRef → Any
  29. final def wait(): Unit

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

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from AnyRef

Inherited from Any

Ungrouped