def is_generator_or_sequence(x): """Check if `x` is a Keras generator type.""" builtin_iterators = (str, list, tuple, dict, set, frozenset) if isinstance(x, (ops.Tensor, np.ndarray) + builtin_iterators): return False return tf_inspect.isgenerator(x) or isinstance(x, Sequence) or is_iterator(x)
def can_handle(x, y=None): return tf_inspect.isgenerator(x)
def is_generator_or_sequence(x): """Check if `x` is a Keras generator type.""" return tf_inspect.isgenerator(x) or isinstance(x, Sequence)