tf.ReaderBase.restore_state()

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

2016-10-14 13:08:53
tf.train.string_input_producer()

tf.train.string_input_producer(string_tensor, num_epochs=None, shuffle=True, seed=None, capacity=32, shared_name=None, name=None) Output

2016-10-14 13:09:35
tf.read_file()

tf.read_file(filename, name=None) Reads and outputs the entire contents of the input filename. Args:

2016-10-14 13:08:54
tf.FixedLengthRecordReader.

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

2016-10-14 13:07:53
tf.IdentityReader.read_up_to()

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

2016-10-14 13:07:59
tf.WholeFileReader.read()

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

2016-10-14 13:09:40
tf.TFRecordReader.

tf.TFRecordReader.__init__(name=None, options=None) Create a TFRecordReader. Args:

2016-10-14 13:09:32
tf.train.batch_join()

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)

2016-10-14 13:09:33
tf.train.batch()

tf.train.batch(tensors, batch_size, num_threads=1, capacity=32, enqueue_many=False, shapes=None, dynamic_pad=False, allow_smaller_final_batch=False, shared_name=None

2016-10-14 13:09:32
tf.FixedLengthRecordReader.reader_ref

tf.FixedLengthRecordReader.reader_ref Op that implements the reader.

2016-10-14 13:07:51