tf.data.experimental.ThreadingOptions

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Represents options for dataset threading.

tf.data.experimental.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.experimental.ThreadingOptions.

options = tf.data.Options()
options.experimental_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.

Methods

__eq__

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__eq__(
    other
)

Return self==value.

__ne__

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__ne__(
    other
)

Return self!=value.

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/data/experimental/ThreadingOptions