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  • References
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  • TensorFlow Python
  • Training

tf.contrib.training.NextQueuedSequenceBatch.__init__()

tf.contrib.training.NextQueuedSequenceBatch.__init__(state_saver)

Links:
  • https://www.tensorflow.org/versions/master/api_docs/python/contrib.training.html#NextQueuedSequenceBatch.__init__
doc_TensorFlow
doc_TensorFlow
2025-01-10 15:47:30
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tf.contrib.training.NextQueuedSequenceBatch class tf.contrib.training.NextQueuedSequenceBatch NextQueuedSequenceBatch stores deferred SequenceQueueingStateSaver data. This class is instantiate
tf.contrib.training.NextQueuedSequenceBatch.key tf.contrib.training.NextQueuedSequenceBatch.key The key names of the given truncated unrolled examples. The format of the key is: "%05d_of_%05d:%s"
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tf.contrib.training.NextQueuedSequenceBatch.sequence tf.contrib.training.NextQueuedSequenceBatch.sequence An int32 vector, length batch_size: the sequence index of each entry. When an input is split up
tf.contrib.training.NextQueuedSequenceBatch.sequences tf.contrib.training.NextQueuedSequenceBatch.sequences A dict mapping keys of input_sequences to split and rebatched data. Returns: A dict mapping ke


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