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.