TensorArray

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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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4. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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6. def create(size: Output, dataType: types.DataType, dynamicSize: Boolean = false, clearAfterRead: Boolean = true, tensorArrayName: String = "", inferShape: Boolean = true, elementShape: core.Shape = Shape.unknown(), colocateWithFirstWrite: Boolean = true, name: String = "TensorArray"): TensorArray

   

   Creates a new tensor array.

   Creates a new tensor array.

   size

   Size of the tensor array.

   dataType

   Data type of the elements in the tensor array.

   dynamicSize

   Boolean value indicating whether writes to the tensor array are allowed to grow in size. By default, this is not allowed.

   clearAfterRead

   Boolean value indicating whether to clear the tensors in the array, after being read. This disables multiple read semantics but allows early release of memory. Defaults to true.

   tensorArrayName

   Name to use for the tensor array. Overrides the name used for the temporary tensor array resource. If not provided or if an empty string is provided, then the name of the created tensor array op is used, which is guaranteed to be unique.

   inferShape

   Boolean value indicating whether shape inference is enabled. If true, all elements must have the same shape.

   elementShape

   Expected shape of the elements in the tensor array, if known. If this shape is not fully defined, then gathering zero-sized tensor array elements will cause an error.

   colocateWithFirstWrite

   Boolean value indicating whether to place the tensor array on the same device as the tensor used on its first write call (write operations include write, unstack, and split). If false, the tensor array will be placed on the device determined by the op creation context available during its initialization.

   name

   Name for the created tensor array ops.

   returns

   Created tensor array.

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

   

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8. def equals(arg0: Any): Boolean

   

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9. def finalize(): Unit

   

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

    

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14. final def notify(): Unit

    

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

    

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18. final def wait(): Unit

    

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

    

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

    

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