tf.compat.v1.data.experimental.choose_from_datasets

Creates a dataset that deterministically chooses elements from datasets.

tf.compat.v1.data.experimental.choose_from_datasets(
    datasets, choice_dataset
)

For example, given the following datasets:

datasets = [tf.data.Dataset.from_tensors("foo").repeat(),
            tf.data.Dataset.from_tensors("bar").repeat(),
            tf.data.Dataset.from_tensors("baz").repeat()]

# Define a dataset containing `[0, 1, 2, 0, 1, 2, 0, 1, 2]`.
choice_dataset = tf.data.Dataset.range(3).repeat(3)

result = tf.data.experimental.choose_from_datasets(datasets, choice_dataset)

The elements of result will be:

"foo", "bar", "baz", "foo", "bar", "baz", "foo", "bar", "baz"

Args:

datasets: A list of tf.data.Dataset objects with compatible structure.
choice_dataset: A tf.data.Dataset of scalar tf.int64 tensors between 0 and len(datasets) - 1.

Returns:

A dataset that interleaves elements from datasets according to the values of choice_dataset.

Raises:

TypeError: If the datasets or choice_dataset arguments have the wrong type.