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

tf.FixedLenSequenceFeature.__getstate__() Exclude the OrderedDict from pickling

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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.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.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.FIFOQueue
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

class tf.FIFOQueue A queue implementation that dequeues elements in first-in first-out order. See

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

tf.IdentityReader.reader_ref Op that implements the reader.

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