tf.FixedLengthRecordReader.read()

tf.FixedLengthRecordReader.read(queue, name=None) Returns the next record (key, value pair) produced by a reader.

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tf.VarLenFeature.

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

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tf.ReaderBase.num_work_units_completed()

tf.ReaderBase.num_work_units_completed(name=None) Returns the number of work units this reader has finished processing.

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tf.TFRecordReader.num_records_produced()

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

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tf.FixedLengthRecordReader.read_up_to()

tf.FixedLengthRecordReader.read_up_to(queue, num_records, name=None) Returns up to num_records (key, value pairs) produced by

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tf.WholeFileReader.

tf.WholeFileReader.__init__(name=None) Create a WholeFileReader. Args:

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tf.WholeFileReader.serialize_state()

tf.WholeFileReader.serialize_state(name=None) Produce a string tensor that encodes the state of a reader. Not

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tf.TextLineReader.read_up_to()

tf.TextLineReader.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.TFRecordReader.num_work_units_completed()

tf.TFRecordReader.num_work_units_completed(name=None) Returns the number of work units this reader has finished processing.

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tf.QueueBase.enqueue_many()

tf.QueueBase.enqueue_many(vals, name=None) Enqueues zero or more elements to this queue. This

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