Not work even use the official docker when multiple GPU training LLM
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even I use 24.05.01， still stuck in this status

![image](https://github.com/user-attachments/assets/2676e533-2570-49d5-a1e7-41755d1f92c3)

use another sft script which refer by official document is also not work by this error

https://docs.nvidia.com/nemo-framework/user-guide/latest/modelalignment/sft.html#step-2-sft-training

Traceback (most recent call last):
File "/opt/NeMo-Aligner/examples/nlp/gpt/train_gpt_sft.py", line 243, in
main()
File "/opt/NeMo/nemo/core/config/hydra_runner.py", line 129, in wrapper
_run_hydra(
File "/usr/local/lib/python3.10/dist-packages/hydra/_internal/utils.py", line 394, in _run_hydra
_run_app(
File "/usr/local/lib/python3.10/dist-packages/hydra/_internal/utils.py", line 457, in _run_app
run_and_report(
File "/usr/local/lib/python3.10/dist-packages/hydra/_internal/utils.py", line 223, in run_and_report
raise ex
File "/usr/local/lib/python3.10/dist-packages/hydra/_internal/utils.py", line 220, in run_and_report
return func()
File "/usr/local/lib/python3.10/dist-packages/hydra/_internal/utils.py", line 458, in
lambda: hydra.run(
File "/usr/local/lib/python3.10/dist-packages/hydra/_internal/hydra.py", line 132, in run
_ = ret.return_value
File "/usr/local/lib/python3.10/dist-packages/hydra/core/utils.py", line 260, in return_value
raise self._return_value
File "/usr/local/lib/python3.10/dist-packages/hydra/core/utils.py", line 186, in run_job
ret.return_value = task_function(task_cfg)
File "/opt/NeMo-Aligner/examples/nlp/gpt/train_gpt_sft.py", line 129, in main
ptl_model, updated_cfg = load_from_nemo(
File "/opt/NeMo-Aligner/nemo_aligner/utils/utils.py", line 98, in load_from_nemo
model = cls.restore_from(
File "/opt/NeMo/nemo/collections/nlp/models/nlp_model.py", line 465, in restore_from
return super().restore_from(
File "/opt/NeMo/nemo/core/classes/modelPT.py", line 464, in restore_from
instance = cls._save_restore_connector.restore_from(
File "/opt/NeMo-Aligner/nemo_aligner/utils/utils.py", line 51, in restore_from
return super().restore_from(*args, **kwargs)
File "/opt/NeMo/nemo/collections/nlp/parts/nlp_overrides.py", line 1172, in restore_from
checkpoint = checkpoint_io.load_checkpoint(tmp_model_weights_dir, sharded_state_dict=checkpoint)
File "/opt/NeMo/nemo/utils/callbacks/dist_ckpt_io.py", line 78, in load_checkpoint
return dist_checkpointing.load(
File "/opt/megatron-lm/megatron/core/dist_checkpointing/serialization.py", line 133, in load
validate_sharding_integrity(nested_values(sharded_state_dict))
File "/opt/megatron-lm/megatron/core/dist_checkpointing/serialization.py", line 425, in validate_sharding_integrity
torch.distributed.all_gather_object(all_sharding, sharding)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
return func(*args, *kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/distributed_c10d.py", line 2310, in all_gather_object
all_gather(object_size_list, local_size, group=group)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
return func(args, kwargs)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/distributed_c10d.py", line 2724, in all_gather
work = default_pg.allgather([tensor_list], [tensor])
torch.distributed.DistBackendError: NCCL error in: /opt/pytorch/pytorch/torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1961, internal error - please report this issue to the NCCL developers, NCCL version 2.19.3
ncclInternalError: Internal check failed.
Last error:
Attribute busid of node nic not found