Login Register

tf.ReaderBase.init()

tf.ReaderBase.__init__(reader_ref, supports_serialize=False)

Creates a new ReaderBase.

Args:

reader_ref: The operation that implements the reader.
supports_serialize: True if the reader implementation can serialize its state.

Links:

https://www.tensorflow.org/versions/master/api_docs/python/io_ops.html#ReaderBase.__init__

doc_TensorFlow

2016-10-14 13:08:54

Comments

Leave a Comment

Please login to continue.

Popular Articles

tf.ReaderBase class tf.ReaderBase Base class for different Reader types, that produce a record every step. Conceptually, Readers convert string 'work units' into

tf.ReaderBase.read() tf.ReaderBase.read(queue, name=None) Returns the next record (key, value pair) produced by a reader. Will dequeue a work unit from queue if necessar

tf.ReaderBase.reset() tf.ReaderBase.reset(name=None) Restore a reader to its initial clean state. Args: name: A name for the operation (optional). Returns: The created

tf.ReaderBase.reader_ref tf.ReaderBase.reader_ref Op that implements the reader.

tf.ReaderBase.serialize_state() tf.ReaderBase.serialize_state(name=None) Produce a string tensor that encodes the state of a reader. Not all Readers support being serialized, so th