Add torch.manual_seed for test_fault_tolerance

tests/test_allreduce_fault_tolerance.py

@@ -1,16 +1,18 @@
 from __future__ import annotations
 
+import asyncio
 from enum import Enum, auto
 
 import pytest
+import torch
 
 import hivemind
-from hivemind.averaging.averager import *
+from hivemind.averaging.averager import AllReduceRunner, AveragingMode, GatheredData
 from hivemind.averaging.group_info import GroupInfo
 from hivemind.averaging.load_balancing import load_balance_peers
 from hivemind.averaging.matchmaking import MatchmakingException
 from hivemind.proto import averaging_pb2
-from hivemind.utils.asyncio import aenumerate, as_aiter, azip, enter_asynchronously
+from hivemind.utils.asyncio import AsyncIterator, aenumerate, as_aiter, azip, enter_asynchronously
 from hivemind.utils.logging import get_logger
 
 logger = get_logger(__name__)
@@ -138,6 +140,8 @@ async def _generate_input_for_peer(self, peer_index: int) -> AsyncIterator[avera
     ],
 )
 def test_fault_tolerance(fault0: Fault, fault1: Fault):
+    torch.manual_seed(0)
+
     def _make_tensors():
         return [torch.rand(16, 1024), -torch.rand(3, 8192), 2 * torch.randn(4, 4, 4), torch.randn(1024, 1024)]