tf.data.experimental.cardinality | TensorFlow v2.16.1 (original) (raw)

tf.data.experimental.cardinality

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Returns the cardinality of dataset, if known.

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tf.compat.v1.data.experimental.cardinality

tf.data.experimental.cardinality(
    dataset
)

Used in the notebooks

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

The operation returns the cardinality of dataset. The operation may returntf.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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Last updated 2024-04-26 UTC.