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TensorFlow 1 version
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View source on GitHub
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Represents options for collecting dataset stats using StatsAggregator.
tf.data.experimental.StatsOptions()
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)
Attributes | |
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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.
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Methods
__eq__
__eq__(
other
)
Return self==value.
__ne__
__ne__(
other
)
Return self!=value.