PaddedBatchDatasetOps

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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. val dataset: Dataset[T, O, D, S]

   

7. def dynamicPaddedBatch(batchSize: Long, paddedShapes: S, paddingValues: O = null.asInstanceOf[O], name: String = "PaddedBatch"): Dataset[T, O, D, S]

   

   $OpDocDatasetPaddedBatch

   $OpDocDatasetPaddedBatch

   batchSize

   Batch size.

   paddedShapes

   Shape to which the respective component of each input element should be padded prior to batching. Any unknown dimensions (e.g., equal to -1) will be padded to the maximum size of that dimension in each batch.

   paddingValues

   Scalar tensor structure representing the padding values to use for the respective components. Defaults to zero for numeric types and the empty string for string types.

   name

   Name for the created dataset.

   returns

   Created dataset.

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

   

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9. def finalize(): Unit

   

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

    

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11. final def isInstanceOf[T0]: Boolean

    

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

    

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13. final def notify(): Unit

    

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14. final def notifyAll(): Unit

    

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15. def paddedBatch(batchSize: Long, paddedShapes: S, paddingValues: T = null.asInstanceOf[T], name: String = "PaddedBatch"): Dataset[T, O, D, S]

    

    $OpDocDatasetPaddedBatch

    $OpDocDatasetPaddedBatch

    batchSize

    Batch size.

    paddedShapes

    Shape to which the respective component of each input element should be padded prior to batching. Any unknown dimensions (e.g., equal to -1) will be padded to the maximum size of that dimension in each batch.

    paddingValues

    Scalar tensor structure representing the padding values to use for the respective components. Defaults to zero for numeric types and the empty string for string types.

    name

    Name for the created dataset.

    returns

    Created dataset.

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

    

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17. final def wait(): Unit

    

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

    

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

    

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