tf.assert_proper_iterable(values)

tf.assert_proper_iterable(values)

See the guide: Asserts and boolean checks

Static assert that values is a "proper" iterable.

Ops that expect iterables of Tensor can call this to validate input. Useful since Tensor, ndarray, byte/text type are all iterables themselves.

Args:

• values: Object to be checked.

Raises:

• TypeError: If values is not iterable or is one of Tensor, SparseTensor, np.array, tf.compat.bytes_or_text_types.

Defined in tensorflow/python/ops/check_ops.py.