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[2025-02-15 12:10:48,461] torch.distributed.run: [WARNING] |
[2025-02-15 12:10:48,461] torch.distributed.run: [WARNING] ***************************************** |
[2025-02-15 12:10:48,461] torch.distributed.run: [WARNING] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. |
[2025-02-15 12:10:48,461] torch.distributed.run: [WARNING] ***************************************** |
[2025-02-15 12:10:48,760] torch.distributed.elastic.agent.server.api: [WARNING] Received Signals.SIGINT death signal, shutting down workers |
[2025-02-15 12:10:48,760] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 6598 closing signal SIGINT |
[2025-02-15 12:10:48,760] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 6599 closing signal SIGINT |
[2025-02-15 12:10:48,997] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 6598 closing signal SIGTERM |
[2025-02-15 12:10:48,997] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 6599 closing signal SIGTERM |
Traceback (most recent call last): |
File "/opt/conda/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 727, in run |
result = self._invoke_run(role) |
File "/opt/conda/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 868, in _invoke_run |
time.sleep(monitor_interval) |
File "/opt/conda/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 6595 got signal: 2 |
During handling of the above exception, another exception occurred: |
Traceback (most recent call last): |
File "/opt/conda/bin/torchrun", line 33, in <module> |
sys.exit(load_entry_point('torch==2.2.1', 'console_scripts', 'torchrun')()) |
File "/opt/conda/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 347, in wrapper |
return f(*args, **kwargs) |
File "/opt/conda/lib/python3.10/site-packages/torch/distributed/run.py", line 812, in main |
run(args) |
File "/opt/conda/lib/python3.10/site-packages/torch/distributed/run.py", line 803, in run |
elastic_launch( |
File "/opt/conda/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 135, in __call__ |
return launch_agent(self._config, self._entrypoint, list(args)) |
File "/opt/conda/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 259, in launch_agent |
result = agent.run() |
File "/opt/conda/lib/python3.10/site-packages/torch/distributed/elastic/metrics/api.py", line 123, in wrapper |
result = f(*args, **kwargs) |
File "/opt/conda/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 734, in run |
self._shutdown(e.sigval) |
File "/opt/conda/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/local_elastic_agent.py", line 311, in _shutdown |
self._pcontext.close(death_sig) |
File "/opt/conda/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/api.py", line 318, in close |
self._close(death_sig=death_sig, timeout=timeout) |
File "/opt/conda/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/api.py", line 706, in _close |
handler.proc.wait(time_to_wait) |
File "/opt/conda/lib/python3.10/subprocess.py", line 1209, in wait |
return self._wait(timeout=timeout) |
File "/opt/conda/lib/python3.10/subprocess.py", line 1953, in _wait |
time.sleep(delay) |
File "/opt/conda/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 6595 got signal: 2 |
[2025-02-15 12:11:09,060] torch.distributed.run: [WARNING] |
[2025-02-15 12:11:09,060] torch.distributed.run: [WARNING] ***************************************** |
[2025-02-15 12:11:09,060] torch.distributed.run: [WARNING] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. |
[2025-02-15 12:11:09,060] torch.distributed.run: [WARNING] ***************************************** |
[2025-02-15 12:11:11,416] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect) |
[2025-02-15 12:11:11,431] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect) |
petrel_client is not installed. If you read data locally instead of from ceph, ignore it. |
Replace train sampler!! |
petrel_client is not installed. Using PIL to load images. |
petrel_client is not installed. If you read data locally instead of from ceph, ignore it. |
Replace train sampler!! |
petrel_client is not installed. Using PIL to load images. |
[2025-02-15 12:11:14,256] [INFO] [comm.py:637:init_distributed] cdb=None |
[2025-02-15 12:11:14,256] [INFO] [comm.py:668:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl |
02/15/2025 12:11:14 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 1distributed training: True, 16-bits training: False |
02/15/2025 12:11:14 - INFO - __main__ - Training/evaluation parameters TrainingArguments( |
_n_gpu=1, |
adafactor=False, |
adam_beta1=0.9, |
adam_beta2=0.999, |
adam_epsilon=1e-08, |
auto_find_batch_size=False, |
bf16=True, |
bf16_full_eval=False, |
data_seed=None, |
dataloader_drop_last=False, |
dataloader_num_workers=2, |
dataloader_persistent_workers=False, |
dataloader_pin_memory=True, |
ddp_backend=None, |
ddp_broadcast_buffers=None, |
ddp_bucket_cap_mb=None, |
ddp_find_unused_parameters=None, |
ddp_timeout=1800, |
debug=[], |
deepspeed=zero_stage1_config.json, |
disable_tqdm=False, |
dispatch_batches=None, |
do_eval=False, |
do_predict=False, |
do_train=True, |
eval_accumulation_steps=None, |
eval_delay=0, |
eval_steps=None, |
evaluation_strategy=no, |
fp16=False, |
fp16_backend=auto, |
fp16_full_eval=False, |
fp16_opt_level=O1, |
fsdp=[], |
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