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

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

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

tf.QueueBase.enqueue(vals, name=None) Enqueues one element to this queue. If the queue is full

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

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

class tf.IdentityReader A Reader that outputs the queued work as both the key and value. To use

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

class tf.WholeFileReader A Reader that outputs the entire contents of a file as a value. To use

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

tf.FixedLenSequenceFeature.dtype Alias for field number 1

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

tf.FixedLenSequenceFeature.__getnewargs__() Return self as a plain tuple. Used by copy and pickle.

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