warnings.warn('resource_tracker: There appear to be %d '

Hello dear all. I had an error.
System: Ubuntu 24.04
GPU: 2x3090
Ram: 128Gb
Python version 3.9.8

Can you please help me, where I'm wrong?
Traceback (most recent call last):
File "/usr/local/lib/python3.9/multiprocessing/process.py", line 315, in _bootstrap
self.run()
File "/usr/local/lib/python3.9/multiprocessing/process.py", line 108, in run
self._target(*self._args, **self._kwargs)
File "/home/saif/saif/Retrieval-based-Voice-Conversion-WebUI/infer/modules/train/train.py", line 282, in run
train_and_evaluate(
File "/home/saif/saif/Retrieval-based-Voice-Conversion-WebUI/infer/modules/train/train.py", line 496, in train_and_evaluate
scaler.scale(loss_gen_all).backward()
File "/home/saif/saif/venv/env398rvc/lib/python3.9/site-packages/torch/_tensor.py", line 487, in backward
torch.autograd.backward(
File "/home/saif/saif/venv/env398rvc/lib/python3.9/site-packages/torch/autograd/init.py", line 200, in backward
Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
RuntimeError: [../third_party/gloo/gloo/transport/tcp/pair.cc:589] Read error [127.0.1.1]:20909: Connection reset by peer
/usr/local/lib/python3.9/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 20 leaked semaphore objects to clean up at shutdown
warnings.warn('resource_tracker: There appear to be %d '

Start with infer/modules/train/train.py at lines 282 and 496, then trace the multiprocessing and Gloo setup associated with the reported backward failure. Reproduce the training run with the stated Python and Ubuntu details, determine why the peer connection resets, and verify that training completes without the semaphore-leak warning.