Akegarasu / Akegarasu/lora-scripts

linux单卡训练正常多卡训练报错

Abierto
#321 4 comentarios 0 reacciones 0 asignados Ver en GitHub
Lenguaje dominante
Python
Estrellas
6.1k
Forks
699
Métricas de merge de PR
Sin PR fusionados en 30 d

Descripción

Traceback (most recent call last):
File "/mnt/data/wangxi/lora-scripts/./sd-scripts/train_db.py", line 501, in
train(args)
File "/mnt/data/wangxi/lora-scripts/./sd-scripts/train_db.py", line 321, in train
encoder_hidden_states = train_util.get_hidden_states(
File "/mnt/data/wangxi/lora-scripts/sd-scripts/library/train_util.py", line 4003, in get_hidden_states
encoder_hidden_states = text_encoder.text_model.final_layer_norm(encoder_hidden_states)
File "/home/wangxi/miniconda3/envs/lora/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1614, in __getattr__
raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'DistributedDataParallel' object has no attribute 'text_model'
steps: 0%| | 0/22080 [00:01
train(args)
File "/mnt/data/wangxi/lora-scripts/./sd-scripts/train_db.py", line 321, in train
encoder_hidden_states = train_util.get_hidden_states(
File "/mnt/data/wangxi/lora-scripts/sd-scripts/library/train_util.py", line 4003, in get_hidden_states
encoder_hidden_states = text_encoder.text_model.final_layer_norm(encoder_hidden_states)
File "/home/wangxi/miniconda3/envs/lora/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1614, in __getattr__
raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'DistributedDataParallel' object has no attribute 'text_model'
^CWARNING:torch.distributed.elastic.agent.server.api:Received 2 death signal, shutting down workers
Traceback (most recent call last):
File "/home/wangxi/miniconda3/envs/lora/lib/python3.10/runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/home/wangxi/miniconda3/envs/lora/lib/python3.10/runpy.py", line 86, in _run_code
exec(code, run_globals)
File "/home/wangxi/miniconda3/envs/lora/lib/python3.10/site-packages/accelerate/commands/launch.py", line 996, in
main()
File "/home/wangxi/miniconda3/envs/lora/lib/python3.10/site-packages/accelerate/commands/launch.py", line 992, in main
launch_command(args)
File "/home/wangxi/miniconda3/envs/lora/lib/python3.10/site-packages/accelerate/commands/launch.py", line 977, in launch_command
multi_gpu_launcher(args)
File "/home/wangxi/miniconda3/envs/lora/lib/python3.10/site-packages/accelerate/commands/launch.py", line 646, in multi_gpu_launcher
distrib_run.run(args)
File "/home/wangxi/miniconda3/envs/lora/lib/python3.10/site-packages/torch/distributed/run.py", line 785, in run
elastic_launch(
File "/home/wangxi/miniconda3/envs/lora/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 134, in __call__
return launch_agent(self._config, self._entrypoint, list(args))
File "/home/wangxi/miniconda3/envs/lora/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 241, in launch_agent
result = agent.run()
File "/home/wangxi/miniconda3/envs/lora/lib/python3.10/site-packages/torch/distributed/elastic/metrics/api.py", line 129, in wrapper
result = f(*args, **kwargs)
File "/home/wangxi/miniconda3/envs/lora/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 723, in run
result = self._invoke_run(role)
File "/home/wangxi/miniconda3/envs/lora/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 864, in _invoke_run
time.sleep(monitor_interval)
File "/home/wangxi/miniconda3/envs/lora/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/api.py", line 62, in _terminate_process_handler
raise SignalException(f"Process {os.getpid()} got signal: {sigval}", sigval=sigval)
torch.distributed.elastic.multiprocessing.api.SignalException: Process 35054 got signal: 2
12:51:03-224816 ERROR Training failed / 训练失败
(lora) [wangxi@v100-4 lora-scripts]$ ^C
(lora) [wangxi@v100-4 lora-scripts]$

Guía de contribución

No hay ninguna guía de contribución indexada para este repositorio

Evaluación

Este issue todavía no se ha evaluado.

Recibe los nuevos issues en tu correo

Un resumen breve de issues de GitHub para principiantes.