Surpass type checks

tests/utils.py

 import inspect
+import numpy as np
 import os
 import sys
-import numpy as np
 import torch
 import torch.distributed as dist
 from typing import Optional
@@ -23,7 +23,8 @@ def init_dist(local_rank: int, num_local_ranks: int):
         'rank': node_rank * num_local_ranks + local_rank,
     }
     if 'device_id' in sig.parameters:
-        params['device_id'] = torch.device(f"cuda:{local_rank}")
+        # noinspection PyTypeChecker
+        params['device_id'] = torch.device(f'cuda:{local_rank}')
     dist.init_process_group(**params)
     torch.set_default_dtype(torch.bfloat16)
     torch.set_default_device('cuda')