tf.data.ThreadingOptions

Represents options for dataset threading.

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)

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__

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__eq__(
    other
)

Return self==value.

__ne__

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__ne__(
    other
)

Return self!=value.