Class StatsOptions
Defined in tensorflow/python/data/experimental/ops/stats_options.py.
Represents options for collecting dataset stats using StatsAggregator.
You can set the stats options of a dataset through the experimental_stats
property of tf.data.Options; the property is an instance of
tf.data.experimental.StatsOptions. For example, to collect latency stats
on all dataset edges, use the following pattern:
aggregator = tf.data.experimental.StatsAggregator()
options = tf.data.Options()
options.experimental_stats.aggregator = aggregator
options.experimental_stats.latency_all_edges = True
dataset = dataset.with_options(options)
__init__
__init__()
Initialize self. See help(type(self)) for accurate signature.
Properties
aggregator
Associates the given statistics aggregator with the dataset pipeline.
counter_prefix
Prefix for the statistics recorded as counter.
latency_all_edges
Whether to add latency measurements on all edges. Defaults to False.
prefix
Prefix to prepend all statistics recorded for the input dataset with.
Methods
tf.data.experimental.StatsOptions.__eq__
__eq__(other)
Return self==value.
tf.data.experimental.StatsOptions.__ne__
__ne__(other)
Return self!=value.
tf.data.experimental.StatsOptions.__setattr__
__setattr__(
name,
value
)
Implement setattr(self, name, value).