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

tf.QueueBase.dequeue_up_to(n, name=None) Dequeues and concatenates n elements from this queue.

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tf.train.range_input_producer()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.train.range_input_producer(limit, num_epochs=None, shuffle=True, seed=None, capacity=32, shared_name=None, name=None) Produces

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

tf.PaddingFIFOQueue.__init__(capacity, dtypes, shapes, names=None, shared_name=None, name='padding_fifo_queue') Creates a queue

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

tf.matching_files(pattern, name=None) Returns the set of files matching a pattern. Note that this

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

tf.FixedLenFeature.dtype Alias for field number 1

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tf.train.match_filenames_once()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.train.match_filenames_once(pattern, name=None) Save the list of files matching pattern, so it is only computed once.

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

tf.TFRecordReader.reader_ref Op that implements the reader.

2025-01-10 15:47:30
tf.FixedLenFeature.
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

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

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

tf.TextLineReader.num_records_produced(name=None) Returns the number of records this reader has produced. This

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

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

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