tf.decode_csv(records, record_defaults, field_delim=None, name=None) Convert CSV records to tensors. Each column maps to one tensor

class tf.VarLenFeature Configuration for parsing a variable-length input feature. Fields: dtype:

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

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

tf.FixedLengthRecordReader.supports_serialize Whether the Reader implementation can serialize its state.

tf.FixedLengthRecordReader.serialize_state(name=None) Produce a string tensor that encodes the state of a reader.

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

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

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

tf.QueueBase.dtypes The list of dtypes for each component of a queue element.