tf.contrib.data.choose_from_datasets

tf.contrib.data.choose_from_datasets(
    datasets,
    choice_dataset
)

Defined in tensorflow/contrib/data/python/ops/interleave_ops.py.

Creates a dataset that deterministically chooses elements from datasets. (deprecated)

THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use tf.data.experimental.choose_from_datasets(...).

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.contrib.data.choose_from_datasets(datasets, choice_dataset)

The elements of result will be:

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

Args:

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.