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.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:

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

tf.VarLenFeature.__repr__() Return a nicely formatted representation string

2025-01-10 15:47:30
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

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

tf.FixedLengthRecordReader.restore_state(state, name=None) Restore a reader to a previously saved state. Not

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

tf.FixedLenFeature.dtype Alias for field number 1

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

tf.QueueBase.from_list(index, queues) Create a queue using the queue reference from queues[index].

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

tf.WholeFileReader.reader_ref Op that implements the reader.

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

tf.ReaderBase.reader_ref Op that implements the reader.

2025-01-10 15:47:30