Class ThreadingOptions
Defined in tensorflow/python/data/experimental/ops/threading_options.py.
Represents options for dataset threading.
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)
__init__
__init__()
Initialize self. See help(type(self)) for accurate signature.
Properties
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
tf.data.experimental.ThreadingOptions.__eq__
__eq__(other)
Return self==value.
tf.data.experimental.ThreadingOptions.__ne__
__ne__(other)
Return self!=value.
tf.data.experimental.ThreadingOptions.__setattr__
__setattr__(
name,
value
)
Implement setattr(self, name, value).