SpatialShareConvolution

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

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

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef): Boolean

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

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6. def apply[T](conv: SpatialConvolution[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): SpatialShareConvolution[T]

7. def apply[T](nInputPlane: Int, nOutputPlane: Int, kernelW: Int, kernelH: Int, strideW: Int = 1, strideH: Int = 1, padW: Int = 0, padH: Int = 0, nGroup: Int = 1, propagateBack: Boolean = true, wRegularizer: Regularizer[T] = null, bRegularizer: Regularizer[T] = null, initWeight: Tensor[T] = null, initBias: Tensor[T] = null, initGradWeight: Tensor[T] = null, initGradBias: Tensor[T] = null, withBias: Boolean = true)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): SpatialShareConvolution[T]

8. final def asInstanceOf[T0]: T0

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9. def clone(): AnyRef

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12. def finalize(): Unit

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

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14. def hashCode(): Int

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15. final def isInstanceOf[T0]: Boolean

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

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17. final def notify(): Unit

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18. final def notifyAll(): Unit

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19. def shareConvolution[T](model: Module[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Module[T]

    Replace all the SpatialConvolution in model with SpatialSharedConvolution, and shared the fInput and fGradInput in all SpatialSharedConvolution.

    Replace all the SpatialConvolution in model with SpatialSharedConvolution, and shared the fInput and fGradInput in all SpatialSharedConvolution.

    model

    a Module

    returns

    model sharedConvolution.

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

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21. def toString(): String

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22. final def wait(): Unit

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

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

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