List of files or patterns of file paths containing
Example records. See tf.io.gfile.glob for pattern rules.
An int or scalar Tensor specifying the batch size to use.
A dict mapping feature keys to FixedLenFeature or
Whether the input should be randomized.
Integer specifying the number of times to read through the
dataset. If None, cycles through the dataset forever. NOTE - If specified,
creates a variable that must be initialized, so call
tf.compat.v1.local_variables_initializer() and run the op in a session.
Capacity for input queue.
The number of threads to read examples. In order to have
predictable and repeatable order of reading and enqueueing, such as in
prediction and evaluation mode, reader_num_threads should be 1.
Name of resulting op.
A dict of Tensor or SparseTensor objects for each in features.