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

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

tf.sparse_placeholder(dtype, shape=None, name=None) Inserts a placeholder for a sparse tensor that will be always fed.

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

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

tf.TextLineReader.__init__(skip_header_lines=None, name=None) Create a TextLineReader. Args:

tf.train.limit_epochs(tensor, num_epochs=None, name=None) Returns tensor num_epochs times and then raises an

tf.train.batch_join(tensors_list, batch_size, capacity=32, enqueue_many=False, shapes=None, dynamic_pad=False, allow_smaller_final_batch=False, shared_name=None, name=None)

tf.FixedLenSequenceFeature.allow_missing Alias for field number 2

tf.FixedLengthRecordReader.__init__(record_bytes, header_bytes=None, footer_bytes=None, name=None) Create a FixedLengthRecordReader