aead7cf4711ce834a9a067c4bb6db11893c2a96b,tfdeploy.py,Operation,__init__,#Operation#,386

Before Change

        self.last_uuid = None

        // store attributes as kwargs for calls to eval
        self.kwargs = [tf_op.get_attr(attr) for attr in (self.attrs or [])]

        // store output dtypes for calls to eval when x is True
        self.output_dtypes = [dtype_map[dtype] for dtype in tf_op._output_types]

After Change

        // store attributes as kwargs for calls to eval
        self.kwargs = []
        for attr in self.attrs:
            try:
                value = tf_op.get_attr(attr)
            except ValueError:
                value = None
            self.kwargs.append(value)

        // store output dtypes for calls to eval when x is True
        self.output_dtypes = [dtype_map[dtype] for dtype in tf_op._output_types]

    @classmethod
    def new(cls, tf_op, *args, **kwargs):

Instances