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tf.data.experimental.StatsOptions

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

__eq__

__eq__(other)

Return self==value.

__ne__

__ne__(other)

Return self!=value.

__setattr__

__setattr__(
    name,
    value
)

Implement setattr(self, name, value).