tf.compat.v1.train.ProximalGradientDescentOptimizer

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.

TensorFlow

tf.compat / v1 / v1.train.ProximalGradientDescentOptimizer

Args

Returns

Eager Compatibility

TensorFlow

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tf.compat / v1 / v1.train.ProximalGradientDescentOptimizer

Args

Returns

Eager Compatibility