org.apache.mxnet.javaapi

SpatialTransformerParam

Related Doc: package javaapi

class SpatialTransformerParam extends AnyRef

This Param Object is specifically used for SpatialTransformer

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Instance Constructors

  1. new SpatialTransformerParam(data: NDArray, loc: NDArray, transform_type: String, sampler_type: String)

    data

    Input data to the SpatialTransformerOp.

    loc

    localisation net, the output dim should be 6 when transform_type is affine. You shold initialize the weight and bias with identity tranform.

    transform_type

    transformation type

    sampler_type

    sampling type

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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  5. def clone(): AnyRef

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

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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  10. def getCudnn_off(): Boolean

  11. def getData(): NDArray

  12. def getLoc(): NDArray

  13. def getOut(): mxnet.NDArray

  14. def getSampler_type(): String

  15. def getTarget_shape(): Shape

  16. def getTransform_type(): String

  17. def hashCode(): Int

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  18. final def isInstanceOf[T0]: Boolean

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

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  20. final def notify(): Unit

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  21. final def notifyAll(): Unit

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  22. def setCudnn_off(cudnn_off: Boolean): SpatialTransformerParam

    cudnn_off

    whether to turn cudnn off

  23. def setOut(out: NDArray): SpatialTransformerParam

  24. def setTarget_shape(target_shape: Shape): SpatialTransformerParam

    target_shape

    output shape(h, w) of spatial transformer: (y, x)

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

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  26. def toString(): String

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  27. final def wait(): Unit

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

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

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