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tf.compat.v1.train.range_input_producer

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Produces the integers from 0 to limit-1 in a queue. (deprecated)

tf.compat.v1.train.range_input_producer(
    limit,
    num_epochs=None,
    shuffle=True,
    seed=None,
    capacity=32,
    shared_name=None,
    name=None
)

Args:

  • limit: An int32 scalar tensor.
  • num_epochs: An integer (optional). If specified, range_input_producer produces each integer num_epochs times before generating an OutOfRange error. If not specified, range_input_producer can cycle through the integers an unlimited number of times.
  • shuffle: Boolean. If true, the integers 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.
  • name: A name for the operations (optional).

Returns:

A Queue with the output integers. A QueueRunner for the Queue is added to the current Graph's QUEUE_RUNNER collection.

Eager Compatibility

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.