def __init__(self,
rank: int,
dimension: int,
name: Text,
axis_names: List[Text],
backend: base_backend.BaseBackend,
dtype: Type[np.number] = np.float64) -> None:
# TODO: Make this computation lazy, once Node doesn't require tensor
# at instatiation.
copy_tensor = self.make_copy_tensor(rank, dimension, dtype)
copy_tensor = backend.convert_to_tensor(copy_tensor)
super().__init__(copy_tensor, name, axis_names, backend)
def test_base_backend_convert_to_tensor_not_implemented():
backend = BaseBackend()
with pytest.raises(NotImplementedError):
backend.convert_to_tensor(np.ones((2, 2)))
