tf.train.string_input_producer( string_tensor, num_epochs=None, shuffle=True, seed=None, capacity=32, shared_name=None, name=None, cancel_op=None )
Output strings (e.g. filenames) to a queue for an input pipeline.
string_tensor: A 1-D string tensor with the strings to produce.
num_epochs: An integer (optional). If specified,
string_input_producerproduces each string from
num_epochstimes before generating an
OutOfRangeerror. If not specified,
string_input_producercan cycle through the strings in
string_tensoran unlimited number of times.
shuffle: Boolean. If true, the strings are randomly shuffled within each epoch.
seed: An integer (optional). Seed used if shuffle == True.
capacity: An integer. Sets the queue capacity.
shared_name: (optional). If set, this queue will be shared under the given name across multiple sessions. All sessions open to the device which has this queue will be able to access it via the shared_name. Using this in a distributed setting means each name will only be seen by one of the sessions which has access to this operation.
name: A name for the operations (optional).
cancel_op: Cancel op for the queue (optional).
A queue with the output strings. A
QueueRunner for the Queue
is added to the current
ValueError: If the string_tensor is a null Python list. At runtime, will fail with an assertion if string_tensor becomes a null tensor.
Input pipelines based on Queues are not supported when eager execution is
enabled. Please use the
tf.data API to ingest data under eager execution.