case class TensorArray[T] extends Product with Serializable
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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
- Definition Classes
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- final def asInstanceOf[T0]: T0
- Definition Classes
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- def asUntyped: TensorArray[Any]
- def clone(): AnyRef
- Attributes
- protected[lang]
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- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
- def close(name: String = "TensorArrayClose"): Op[Output[core.types.Resource], Unit]
- val colocateWithFirstWrite: Boolean
- def concatenate(name: String = "TensorArrayConcatenate"): Output[T]
- val dataType: core.types.DataType[T]
- def elementShape: Option[core.Shape]
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- val flow: Output[Float]
- def gather(indices: Output[Int], name: String = "TensorArrayGather"): Output[T]
- final def getClass(): Class[_ <: AnyRef]
- Definition Classes
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- @native() @HotSpotIntrinsicCandidate()
- val handle: Output[core.types.Resource]
- def identity: TensorArray[T]
- val inferShape: Boolean
- final def isInstanceOf[T0]: Boolean
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- final def ne(arg0: AnyRef): Boolean
- Definition Classes
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- final def notify(): Unit
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- @native() @HotSpotIntrinsicCandidate()
- final def notifyAll(): Unit
- Definition Classes
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- @native() @HotSpotIntrinsicCandidate()
- def productElementNames: Iterator[String]
- Definition Classes
- Product
- def read(index: Output[Int], name: String = "TensorArrayRead"): Output[T]
- def scatter(indices: Output[Int], value: Output[T], name: String = "TensorArrayScatter"): TensorArray[T]
- def size(name: String = "TensorArraySize"): Output[Int]
- def split(input: Output[T], lengths: Output[Long], name: String = "TensorArraySplit"): TensorArray[T]
- def stack(name: String = "TensorArrayStack"): Output[T]
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
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- def toOutput: Output[T]
- def unstack(value: Output[T], name: String = "TensorArrayUnstack"): TensorArray[T]
- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
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- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
- Definition Classes
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- @throws(classOf[java.lang.InterruptedException]) @native()
- final def wait(): Unit
- Definition Classes
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- @throws(classOf[java.lang.InterruptedException])
- def write(index: Output[Int], value: Output[T], name: String = "TensorArrayWrite"): TensorArray[T]