tf.TFRecordReader.reset()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.TFRecordReader.reset(name=None) Restore a reader to its initial clean state. Args:

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tf.VarLenFeature.dtype
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.VarLenFeature.dtype Alias for field number 0

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tf.QueueBase.names
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.QueueBase.names The list of names for each component of a queue element.

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tf.TextLineReader.reset()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.TextLineReader.reset(name=None) Restore a reader to its initial clean state. Args:

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tf.QueueBase.name
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.QueueBase.name The name of the underlying queue.

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tf.FixedLenSequenceFeature.
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.FixedLenSequenceFeature.__new__(_cls, shape, dtype, allow_missing=False) Create new instance of FixedLenSequenceFeature(shape

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tf.IdentityReader.restore_state()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.IdentityReader.restore_state(state, name=None) Restore a reader to a previously saved state. Not

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tf.FixedLenFeature.
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.FixedLenFeature.__new__(_cls, shape, dtype, default_value=None) Create new instance of FixedLenFeature(shape, dtype, default_value)

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tf.PriorityQueue.
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.PriorityQueue.__init__(capacity, types, shapes=None, names=None, shared_name=None, name='priority_queue') Creates a queue that

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tf.QueueBase.close()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.QueueBase.close(cancel_pending_enqueues=False, name=None) Closes this queue. This operation

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