Class

org.platanios.tensorflow.api.ops.io

SerializableReader

Related Doc: package io

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class SerializableReader extends Reader

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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. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )
  9. final def getClass(): Class[_]

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  10. val handle: Output

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    SerializableReaderReader
  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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  13. val name: String

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    Name of this reader.

    Name of this reader.

    Attributes
    protected
    Definition Classes
    Reader
  14. final def ne(arg0: AnyRef): Boolean

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. def numRecordsProduced(name: String = s"$name/NumRecordsProduced"): Output

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    Creates an op that returns the number of records that this reader has produced.

    Creates an op that returns the number of records that this reader has produced.

    This is the same as the number of read executions that have succeeded.

    name

    Name for the created op.

    returns

    Created op output, which is an INT64 scalar tensor.

    Definition Classes
    Reader
  18. def numWorkUnitsCompleted(name: String = s"$name/NumWorkUnitsCompleted"): Output

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    Creates an op that returns the number of work units that this reader has finished processing.

    Creates an op that returns the number of work units that this reader has finished processing.

    name

    Name for the created op.

    returns

    Created op output, which is an INT64 scalar tensor.

    Definition Classes
    Reader
  19. def read(queue: Queue, name: String = s"$name/Read"): (Output, Output)

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    Creates an op that reads the next record (i.e., key-value pair) produced by this reader.

    Creates an op that reads the next record (i.e., key-value pair) produced by this reader.

    The op will dequeue from the input queue if necessary (e.g., when the reader needs to start reading from a new file since it has finished with the previous file).

    queue

    Queue to obtain the work units from.

    name

    Name for the created op.

    returns

    Created op outputs as a key-value pair.

    Definition Classes
    Reader
  20. def readUpTo(queue: Queue, numRecords: Output, name: String = s"$name/ReadUpTo"): (Output, Output)

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    Creates an op that reads up to the next numRecords records (i.e., key-value pairs) produced by this reader.

    Creates an op that reads up to the next numRecords records (i.e., key-value pairs) produced by this reader.

    The op will dequeue from the input queue if necessary (e.g., when the reader needs to start reading from a new file since it has finished with the previous file).

    queue

    Queue to obtain the work units from.

    numRecords

    INT64 scalar tensor specifying how many records to read.

    name

    Name for the created op.

    returns

    Created op outputs as a key-value pair of one-dimensional tensors.

    Definition Classes
    Reader
  21. def reset(name: String = s"$name/Reset"): Op

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    Creates an op that restores this reader to its initial clean state.

    Creates an op that restores this reader to its initial clean state.

    name

    Name for the created op.

    returns

    Created op.

    Definition Classes
    Reader
  22. def restoreState(state: Output, name: String = s"$name/RestoreState"): Op

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    Creates an op that restores this reader to a previously serialized state.

    Creates an op that restores this reader to a previously serialized state.

    state

    STRING scalar tensor containing the serialized reader state, matching this reader's type.

    name

    Name for the created op.

    returns

    Created op.

  23. def serializeState(name: String = s"$name/SerializeState"): Output

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    Creates an op that produces a string tensor that encodes the state of this reader.

    Creates an op that produces a string tensor that encodes the state of this reader.

    name

    Name for the created op.

    returns

    Created op output, which is a STRING scalar tensor.

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

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  25. def toString(): String

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  26. final def wait(): Unit

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    @throws( ... )
  27. final def wait(arg0: Long, arg1: Int): Unit

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

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Inherited from Reader

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