object Util
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
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- def clearTensor[T](tensors: Array[Tensor[T]])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit
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def
clone(): AnyRef
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- def cloneParameters[T](parameters: Array[Tensor[T]])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Array[Tensor[T]]
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def
deserialize[T](inputStream: InputStream)(implicit arg0: ClassTag[T]): T
This method is quite like org.apache.commons.lang3.SerializationUtils.deserialize, except
resolveClassmethod of ObjectInputStream is overridden, which fix potential ClassNotFoundException caused by uncertainlatestUserDefinedLoader. -
def
deserialize[T](objectData: Array[Byte])(implicit arg0: ClassTag[T]): T
This method is quite like org.apache.commons.lang3.SerializationUtils.deserialize, except
resolveClassmethod of ObjectInputStream is overridden, which fix potential ClassNotFoundException caused by uncertainlatestUserDefinedLoader. -
final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
finalize(): Unit
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- def getAndClearConsts[T](model: Container[_, _, T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Map[String, Tensor[_]]
- def getAndClearWeightBias[T](parameters: (Array[Tensor[T]], Array[Tensor[T]]))(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Array[Tensor[T]]
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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- @native()
- def initGradWeightBias[T](broadcastWeightBias: Array[Tensor[T]], localModel: Module[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit
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final
def
isInstanceOf[T0]: Boolean
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- def kthLargest(arr: Array[Long], l: Int, r: Int, k: Int): Long
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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- def putConsts[T](model: Container[_, _, T], consts: Map[String, Tensor[_]])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit
- def putWeightBias[T](broadcastWeightBias: Array[Tensor[T]], localModel: Module[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit
- def setExtraParametersFromModelRDD[T](models: RDD[Cache[T]], trainingModel: Module[T], maxSize: Int)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit
- def swap(arr: Array[Long], i: Int, j: Int): Unit
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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