class DatasetIterator[T] extends AnyRef
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new
DatasetIterator(handle: Output[core.types.Resource])(_outputDataTypes: Any, _outputShapes: Any, name: String = "DatasetIterator")
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- protected[org.platanios.tensorflow.api.ops.data]
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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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val
_outputDataTypes: Any
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val
_outputShapes: Any
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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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- protected[java.lang]
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def
createInitializer[D, S](dataset: Dataset[T], name: String = s"$name/Initializer")(implicit evOutputToDataType: Aux[T, D], evOutputToShape: Aux[T, S]): Op[(Output[core.types.Variant], Output[core.types.Resource]), Unit]
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- @throws( ... )
- def createInitializerFromHandle(datasetHandle: Output[core.types.Variant], name: String = s"$name/Initializer"): Op[(Output[core.types.Variant], Output[core.types.Resource]), Unit]
- def dispose(name: String = s"$name/Dispose"): Op[Output[core.types.Resource], Unit]
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
finalize(): Unit
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final
def
getClass(): Class[_]
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val
handle: Output[core.types.Resource]
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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- val name: String
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final
def
ne(arg0: AnyRef): Boolean
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- def next[D, S](name: String = s"$name/Next")(implicit evOutputToDataType: Aux[T, D], evOutputToShape: Aux[T, S]): T
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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- def outputDataTypes[D](implicit ev: Aux[T, D]): D
- def outputShapes[S](implicit ev: Aux[T, S]): S
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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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