transforms must be a Transform or a list of Transforms

Raise code

    arg_constraints: Dict[str, constraints.Constraint] = {}

    def __init__(self, base_distribution, transforms, validate_args=None):
        if isinstance(transforms, Transform):
            self.transforms = [transforms, ]
        elif isinstance(transforms, list):
            if not all(isinstance(t, Transform) for t in transforms):
                raise ValueError("transforms must be a Transform or a list of Transforms")
            self.transforms = transforms
        else:
            raise ValueError("transforms must be a Transform or list, but was {}".format(transforms))

        # Reshape base_distribution according to transforms.
        base_shape = base_distribution.batch_shape + base_distribution.event_shape
        base_event_dim = len(base_distribution.event_shape)