tf.compat.v1.train.range_input_producer | TensorFlow v2.16.1 (original) (raw)
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_producerproduces 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.
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Last updated 2024-04-26 UTC.