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

class tf.FixedLenSequenceFeature Configuration for a dense input feature in a sequence item. To

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

tf.train.shuffle_batch_join(tensors_list, batch_size, capacity, min_after_dequeue, seed=None, enqueue_many=False, shapes=None, allow_smaller_final_batch=False, shared_name=None

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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.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.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.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.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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