tf.data.experimental.bucket_by_sequence

TensorFlow 1 version

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Returns the cardinality of dataset, if known.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.data.experimental.cardinality

tf.data.experimental.cardinality(
    dataset
)

Used in the notebooks

Used in the guide	Used in the tutorials
Transfer learning and fine-tuning	Transfer learning and fine-tuning Load images Classify text with BERT

The operation returns the cardinality of dataset. The operation may return tf.data.experimental.INFINITE_CARDINALITY if dataset contains an infinite number of elements or tf.data.experimental.UNKNOWN_CARDINALITY if the analysis fails to determine the number of elements in dataset (e.g. when the dataset source is a file).

dataset = tf.data.Dataset.range(42)
print(tf.data.experimental.cardinality(dataset).numpy())
42
dataset = dataset.repeat()
cardinality = tf.data.experimental.cardinality(dataset)
print((cardinality == tf.data.experimental.INFINITE_CARDINALITY).numpy())
True
dataset = dataset.filter(lambda x: True)
cardinality = tf.data.experimental.cardinality(dataset)
print((cardinality == tf.data.experimental.UNKNOWN_CARDINALITY).numpy())
True

Args
`dataset`	A `tf.data.Dataset` for which to determine cardinality.

Returns
A scalar `tf.int64` `Tensor` representing the cardinality of `dataset`. If the cardinality is infinite or unknown, the operation returns the named constant `INFINITE_CARDINALITY` and `UNKNOWN_CARDINALITY` respectively.

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tf.data / experimental / experimental.bucket_by_sequence_length

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Used in the notebooks

Args

Returns