tf.data.experimental.assert_cardinality
Asserts the cardinality of the input dataset.
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tf.compat.v1.data.experimental.assert_cardinality
tf.data.experimental.assert_cardinality(
expected_cardinality
)
Used in the notebooks
dataset = tf.data.TFRecordDataset("examples.tfrecord")
cardinality = tf.data.experimental.cardinality(dataset)
print((cardinality == tf.data.experimental.UNKNOWN_CARDINALITY).numpy())
True
dataset = dataset.apply(tf.data.experimental.assert_cardinality(42))
print(tf.data.experimental.cardinality(dataset).numpy())
42
Args |
expected_cardinality
|
The expected cardinality of the input dataset.
|
Raises |
FailedPreconditionError
|
The assertion is checked at runtime (when iterating
the dataset) and an error is raised if the actual and expected cardinality
differ.
|
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Last updated 2024-04-26 UTC.
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