tf.data.ThreadingOptions

Represents options for dataset threading.

View aliases

Main aliases

tf.data.experimental.ThreadingOptions

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.data.ThreadingOptions, tf.compat.v1.data.experimental.ThreadingOptions

tf.data.ThreadingOptions()

You can set the threading options of a dataset through the experimental_threading property of tf.data.Options; the property is an instance of tf.data.ThreadingOptions.

options = tf.data.Options()
options.threading.private_threadpool_size = 10
dataset = dataset.with_options(options)

Attributes
max_intra_op_parallelism	If set, it overrides the maximum degree of intra-op parallelism.
private_threadpool_size	If set, the dataset will use a private threadpool of the given size. The value 0 can be used to indicate that the threadpool size should be determined at runtime based on the number of available CPU cores.

Methods

__eq__

View source

__eq__(
    other
)

Return self==value.

__ne__

View source

__ne__(
    other
)

Return self!=value.