tf.ReaderBase.read_up_to()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.ReaderBase.read_up_to(queue, num_records, name=None) Returns up to num_records (key, value pairs) produced by a reader.

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

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

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

tf.FixedLenSequenceFeature.__repr__() Return a nicely formatted representation string

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

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

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

tf.ReaderBase.supports_serialize Whether the Reader implementation can serialize its state.

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

class tf.RandomShuffleQueue A queue implementation that dequeues elements in a random order. See

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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.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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