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========================
START TIME: Tue Jul  2 16:29:55 UTC 2024
python3 version = Python 3.10.14
========================
The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well.
Token is valid (permission: write).
OSError: [Errno 122] Disk quota exceeded

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/huggingface-cli", line 8, in <module>
    sys.exit(main())
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/huggingface_hub/commands/huggingface_cli.py", line 51, in main
    service.run()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/huggingface_hub/commands/user.py", line 98, in run
    login(token=self.args.token, add_to_git_credential=self.args.add_to_git_credential)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/huggingface_hub/_login.py", line 111, in login
    _login(token, add_to_git_credential=add_to_git_credential, write_permission=write_permission)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/huggingface_hub/_login.py", line 328, in _login
    path.write_text(token)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/pathlib.py", line 1154, in write_text
    with self.open(mode='w', encoding=encoding, errors=errors, newline=newline) as f:
OSError: [Errno 122] Disk quota exceeded
Already on 'bench_cluster'
M	examples/config_tiny_llama.py
M	examples/config_tiny_llama.yaml
M	examples/train_tiny_llama.sh
M	src/nanotron/models/llama.py
M	src/nanotron/trainer.py
Your branch is up to date with 'origin/bench_cluster'.
Job status: RUNNING
W0702 16:29:57.924000 139857647920960 torch/distributed/run.py:757] 
W0702 16:29:57.924000 139857647920960 torch/distributed/run.py:757] *****************************************
W0702 16:29:57.924000 139857647920960 torch/distributed/run.py:757] 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. 
W0702 16:29:57.924000 139857647920960 torch/distributed/run.py:757] *****************************************
W0702 16:29:57.980000 140521512138560 torch/distributed/run.py:757] 
W0702 16:29:57.980000 140521512138560 torch/distributed/run.py:757] *****************************************
W0702 16:29:57.980000 140521512138560 torch/distributed/run.py:757] 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. 
W0702 16:29:57.980000 140521512138560 torch/distributed/run.py:757] *****************************************
[default0]:07/02/2024 16:30:16 [WARNING|DP=0|PP=0|TP=0|ip-26-0-163-134]: [Vocab Size Padding] Padded vocab (size: 50257) with 3 dummy tokens (new size: 50260)
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]: Config:
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]: Config(general=GeneralArgs(project='bench_cluster',
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                            run='%date_%jobid',
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                            seed=42,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                            step=None,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                            consumed_train_samples=None,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                            benchmark_csv_path=None,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                            ignore_sanity_checks=True),
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:        parallelism=ParallelismArgs(dp=1,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                    pp=4,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                    tp=4,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                    pp_engine=<nanotron.parallel.pipeline_parallel.engine.OneForwardOneBackwardPipelineEngine object at 0x7f4f5eacc910>,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                    tp_mode=<TensorParallelLinearMode.REDUCE_SCATTER: 2>,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                    tp_linear_async_communication=False,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                    expert_parallel_size=1),
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:        model=ModelArgs(model_config=LlamaConfig(bos_token_id=1,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                 eos_token_id=2,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                 hidden_act='silu',
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                 hidden_size=2048,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                 initializer_range=0.02,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                 intermediate_size=4096,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                 is_llama_config=True,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                 max_position_embeddings=4096,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                 num_attention_heads=32,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                 num_hidden_layers=24,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                 num_key_value_heads=32,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                 pad_token_id=None,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                 pretraining_tp=1,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                 rms_norm_eps=1e-05,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                 rope_scaling=None,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                 rope_theta=10000.0,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                 tie_word_embeddings=True,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                 use_cache=True,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                 vocab_size=50260),
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                        init_method=RandomInit(std=0.025),
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                        dtype=torch.bfloat16,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                        make_vocab_size_divisible_by=1,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                        ddp_bucket_cap_mb=25),
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:        tokenizer=TokenizerArgs(tokenizer_name_or_path='openai-community/gpt2',
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                tokenizer_revision=None,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                tokenizer_max_length=None),
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:        checkpoints=CheckpointsArgs(checkpoints_path=Path('/dev/null'),
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                    checkpoint_interval=100000,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                    save_initial_state=False,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                    resume_checkpoint_path=None,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                    checkpoints_path_is_shared_file_system=False),
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:        logging=LoggingArgs(log_level='info',
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                            log_level_replica='info',
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                            iteration_step_info_interval=1),
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:        tokens=TokensArgs(sequence_length=4096,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                          train_steps=20,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                          micro_batch_size=2,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                          batch_accumulation_per_replica=512,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                          val_check_interval=-1,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                          limit_val_batches=0,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                          limit_test_batches=0),
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:        optimizer=OptimizerArgs(optimizer_factory=AdamWOptimizerArgs(adam_eps=1e-08,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                                     adam_beta1=0.9,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                                     adam_beta2=0.95,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                                     torch_adam_is_fused=True,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                                     name='adamW'),
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                zero_stage=1,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                weight_decay=0.01,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                clip_grad=1.0,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                accumulate_grad_in_fp32=True,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                learning_rate_scheduler=LRSchedulerArgs(learning_rate=0.0001,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                                        lr_warmup_steps=1,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                                        lr_warmup_style='linear',
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                                        lr_decay_style='linear',
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                                        lr_decay_steps=19,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                                        lr_decay_starting_step=None,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                                        min_decay_lr=1e-05)),
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:        data_stages=[DatasetStageArgs(name='Training Stage',
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                      start_training_step=1,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                      data=DataArgs(dataset=PretrainDatasetsArgs(hf_dataset_or_datasets='roneneldan/TinyStories',
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                                                 hf_dataset_splits='train',
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                                                 hf_dataset_config_name=None,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                                                 dataset_processing_num_proc_per_process=64,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                                                 dataset_overwrite_cache=False,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                                                 text_column_name='text'),
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                    seed=42,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:                                                    num_loading_workers=32))],
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:        profiler=ProfilerArgs(profiler_export_path=Path('/fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/16_GPUS/dp-1_tp-4_pp-4_mbz-2')),
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:        lighteval=None)
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]: Model Config:
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]: LlamaConfig(bos_token_id=1,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:             eos_token_id=2,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:             hidden_act='silu',
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:             hidden_size=2048,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:             initializer_range=0.02,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:             intermediate_size=4096,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:             is_llama_config=True,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:             max_position_embeddings=4096,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:             num_attention_heads=32,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:             num_hidden_layers=24,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:             num_key_value_heads=32,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:             pad_token_id=None,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:             pretraining_tp=1,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:             rms_norm_eps=1e-05,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:             rope_scaling=None,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:             rope_theta=10000.0,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:             tie_word_embeddings=True,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:             use_cache=True,
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:             vocab_size=50260)
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]: Building model..
[default0]:07/02/2024 16:30:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]: Setting PP block ranks...
[default2]:07/02/2024 16:30:30 [INFO|DP=0|PP=0|TP=2|ip-26-0-163-134]: Local number of parameters: 99.2M (189.14MiB)
[default2]:07/02/2024 16:30:30 [INFO|DP=0|PP=0|TP=2|ip-26-0-163-134]: [After model building] Memory usage: 197.07MiB. Peak allocated: 199.10MiB Peak reserved: 200.00MiB
[default2]:07/02/2024 16:30:30 [INFO|DP=0|PP=0|TP=2|ip-26-0-163-134]: No checkpoint path provided.
[default4]:07/02/2024 16:30:30 [INFO|DP=0|PP=3|TP=0|ip-26-0-163-147]: Local number of parameters: 67.7M (129.12MiB)
[default4]:07/02/2024 16:30:30 [INFO|DP=0|PP=3|TP=0|ip-26-0-163-147]: [After model building] Memory usage: 134.05MiB. Peak allocated: 136.08MiB Peak reserved: 138.00MiB
[default4]:07/02/2024 16:30:30 [INFO|DP=0|PP=3|TP=0|ip-26-0-163-147]: No checkpoint path provided.
[default5]:07/02/2024 16:30:30 [INFO|DP=0|PP=1|TP=1|ip-26-0-163-134]: Local number of parameters: 73.4M (140.05MiB)
[default5]:07/02/2024 16:30:30 [INFO|DP=0|PP=1|TP=1|ip-26-0-163-134]: [After model building] Memory usage: 147.07MiB. Peak allocated: 149.10MiB Peak reserved: 150.00MiB
[default5]:07/02/2024 16:30:30 [INFO|DP=0|PP=1|TP=1|ip-26-0-163-134]: No checkpoint path provided.
[default3]:07/02/2024 16:30:30 [INFO|DP=0|PP=2|TP=3|ip-26-0-163-147]: Local number of parameters: 62.9M (120.05MiB)
[default3]:07/02/2024 16:30:30 [INFO|DP=0|PP=2|TP=3|ip-26-0-163-147]: [After model building] Memory usage: 126.06MiB. Peak allocated: 128.09MiB Peak reserved: 130.00MiB
[default3]:07/02/2024 16:30:30 [INFO|DP=0|PP=2|TP=3|ip-26-0-163-147]: No checkpoint path provided.
[default1]:07/02/2024 16:30:30 [INFO|DP=0|PP=0|TP=1|ip-26-0-163-134]: Local number of parameters: 99.2M (189.14MiB)
[default1]:07/02/2024 16:30:30 [INFO|DP=0|PP=0|TP=1|ip-26-0-163-134]: [After model building] Memory usage: 197.07MiB. Peak allocated: 199.10MiB Peak reserved: 200.00MiB
[default1]:07/02/2024 16:30:30 [INFO|DP=0|PP=0|TP=1|ip-26-0-163-134]: No checkpoint path provided.
[default1]:07/02/2024 16:30:30 [INFO|DP=0|PP=2|TP=1|ip-26-0-163-147]: Local number of parameters: 62.9M (120.05MiB)
[default1]:07/02/2024 16:30:30 [INFO|DP=0|PP=2|TP=1|ip-26-0-163-147]: [After model building] Memory usage: 126.06MiB. Peak allocated: 128.09MiB Peak reserved: 130.00MiB
[default1]:07/02/2024 16:30:30 [INFO|DP=0|PP=2|TP=1|ip-26-0-163-147]: No checkpoint path provided.
[default0]:07/02/2024 16:30:30 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]: Total number of parameters: 1.21G (2313.42MiB)
[default0]:07/02/2024 16:30:30 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]: Local number of parameters: 99.2M (189.14MiB)
[default0]:07/02/2024 16:30:30 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]: [After model building] Memory usage: 197.07MiB. Peak allocated: 199.10MiB Peak reserved: 200.00MiB
[default0]:07/02/2024 16:30:30 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]: No checkpoint path provided.
[default0]:07/02/2024 16:30:30 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]: Parametrizing model parameters using StandardParametrizator
[default2]:07/02/2024 16:30:30 [INFO|DP=0|PP=2|TP=2|ip-26-0-163-147]: Local number of parameters: 62.9M (120.05MiB)
[default2]:07/02/2024 16:30:30 [INFO|DP=0|PP=2|TP=2|ip-26-0-163-147]: [After model building] Memory usage: 126.06MiB. Peak allocated: 128.09MiB Peak reserved: 130.00MiB
[default2]:07/02/2024 16:30:30 [INFO|DP=0|PP=2|TP=2|ip-26-0-163-147]: No checkpoint path provided.
[default0]:07/02/2024 16:30:30 [INFO|DP=0|PP=2|TP=0|ip-26-0-163-147]: Local number of parameters: 62.9M (120.05MiB)
[default0]:07/02/2024 16:30:30 [INFO|DP=0|PP=2|TP=0|ip-26-0-163-147]: [After model building] Memory usage: 126.06MiB. Peak allocated: 128.09MiB Peak reserved: 130.00MiB
[default0]:07/02/2024 16:30:30 [INFO|DP=0|PP=2|TP=0|ip-26-0-163-147]: No checkpoint path provided.
[default6]:07/02/2024 16:30:30 [INFO|DP=0|PP=1|TP=2|ip-26-0-163-134]: Local number of parameters: 73.4M (140.05MiB)
[default6]:07/02/2024 16:30:30 [INFO|DP=0|PP=1|TP=2|ip-26-0-163-134]: [After model building] Memory usage: 147.07MiB. Peak allocated: 149.10MiB Peak reserved: 150.00MiB
[default6]:07/02/2024 16:30:30 [INFO|DP=0|PP=1|TP=2|ip-26-0-163-134]: No checkpoint path provided.
[default5]:07/02/2024 16:30:30 [INFO|DP=0|PP=3|TP=1|ip-26-0-163-147]: Local number of parameters: 67.7M (129.12MiB)
[default5]:07/02/2024 16:30:30 [INFO|DP=0|PP=3|TP=1|ip-26-0-163-147]: [After model building] Memory usage: 134.05MiB. Peak allocated: 136.08MiB Peak reserved: 138.00MiB
[default5]:07/02/2024 16:30:30 [INFO|DP=0|PP=3|TP=1|ip-26-0-163-147]: No checkpoint path provided.
[default7]:07/02/2024 16:30:30 [INFO|DP=0|PP=3|TP=3|ip-26-0-163-147]: Local number of parameters: 67.7M (129.12MiB)
[default7]:07/02/2024 16:30:30 [INFO|DP=0|PP=3|TP=3|ip-26-0-163-147]: [After model building] Memory usage: 134.05MiB. Peak allocated: 136.08MiB Peak reserved: 138.00MiB
[default7]:07/02/2024 16:30:30 [INFO|DP=0|PP=3|TP=3|ip-26-0-163-147]: No checkpoint path provided.
[default4]:07/02/2024 16:30:30 [INFO|DP=0|PP=1|TP=0|ip-26-0-163-134]: Local number of parameters: 73.4M (140.05MiB)
[default4]:07/02/2024 16:30:30 [INFO|DP=0|PP=1|TP=0|ip-26-0-163-134]: [After model building] Memory usage: 147.07MiB. Peak allocated: 149.10MiB Peak reserved: 150.00MiB
[default3]:07/02/2024 16:30:30 [INFO|DP=0|PP=0|TP=3|ip-26-0-163-134]: Local number of parameters: 99.2M (189.14MiB)
[default3]:07/02/2024 16:30:30 [INFO|DP=0|PP=0|TP=3|ip-26-0-163-134]: [After model building] Memory usage: 197.07MiB. Peak allocated: 199.10MiB Peak reserved: 200.00MiB
[default4]:07/02/2024 16:30:30 [INFO|DP=0|PP=1|TP=0|ip-26-0-163-134]: No checkpoint path provided.
[default3]:07/02/2024 16:30:30 [INFO|DP=0|PP=0|TP=3|ip-26-0-163-134]: No checkpoint path provided.
[default7]:07/02/2024 16:30:30 [INFO|DP=0|PP=1|TP=3|ip-26-0-163-134]: Local number of parameters: 73.4M (140.05MiB)
[default7]:07/02/2024 16:30:30 [INFO|DP=0|PP=1|TP=3|ip-26-0-163-134]: [After model building] Memory usage: 147.07MiB. Peak allocated: 149.10MiB Peak reserved: 150.00MiB
[default7]:07/02/2024 16:30:30 [INFO|DP=0|PP=1|TP=3|ip-26-0-163-134]: No checkpoint path provided.
[default6]:07/02/2024 16:30:30 [INFO|DP=0|PP=3|TP=2|ip-26-0-163-147]: Local number of parameters: 67.7M (129.12MiB)
[default6]:07/02/2024 16:30:30 [INFO|DP=0|PP=3|TP=2|ip-26-0-163-147]: [After model building] Memory usage: 134.05MiB. Peak allocated: 136.08MiB Peak reserved: 138.00MiB
[default6]:07/02/2024 16:30:30 [INFO|DP=0|PP=3|TP=2|ip-26-0-163-147]: No checkpoint path provided.
[default0]:07/02/2024 16:30:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]: [Optimizer Building] Using LearningRateForSP as learning rate
[default0]:07/02/2024 16:30:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]: [ZeRO sharding] Size of optimizer params per rank:
[default0]:07/02/2024 16:30:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]: [ZeRO sharding] DP Rank 0 has 99.2M out of 99.2M (100.00%) params' optimizer states
[default0]:07/02/2024 16:30:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]: [Training Plan] Stage Training Stage has 19 remaining training steps and has consumed 0 samples
[default0]:07/02/2024 16:30:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]: Using `datasets` library
[default0]:07/02/2024 16:30:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]: Loading tokenizer from openai-community/gpt2 and transformers/hf_hub versions ('4.41.2', '0.23.4')
[default0]:Repo card metadata block was not found. Setting CardData to empty.
[default0]:07/02/2024 16:30:33 [WARNING|DP=0|PP=0|TP=0|ip-26-0-163-134]: Repo card metadata block was not found. Setting CardData to empty.
[default0]:07/02/2024 16:30:34 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]: [Training Plan] There are 1 training stages 
[default0]:07/02/2024 16:30:34 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]: [Stage Training Stage] start from step 1 
[default0]:07/02/2024 16:30:34 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]: 
[default0]:07/02/2024 16:30:34 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]: [Start training] datetime: 2024-07-02 16:30:34.077921 | mbs: 2 | grad_accum: 512 | global_batch_size: 1024 | sequence_length: 4096 | train_steps: 20 | start_iteration_step: 0 | consumed_train_samples: 0
[default0]:07/02/2024 16:30:34 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]: Resuming training from stage Training Stage, it has trained for 0 samples and has 19 remaining train steps
[default0]:07/02/2024 16:30:34 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-134]:  Memory usage: 953.61MiB. Peak allocated 953.61MiB. Peak reserved: 960.00MiB
[default6]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:Repo card metadata block was not found. Setting CardData to empty.
[default2]:07/02/2024 16:30:34 [WARNING|DP=0|PP=0|TP=2|ip-26-0-163-134]: Repo card metadata block was not found. Setting CardData to empty.
[default5]:07/02/2024 16:30:34 [WARNING|DP=0|PP=1|TP=1|ip-26-0-163-134]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:Repo card metadata block was not found. Setting CardData to empty.
[default7]:Repo card metadata block was not found. Setting CardData to empty.
[default3]:07/02/2024 16:30:34 [WARNING|DP=0|PP=2|TP=3|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty.
[default1]:07/02/2024 16:30:34 [WARNING|DP=0|PP=0|TP=1|ip-26-0-163-134]: Repo card metadata block was not found. Setting CardData to empty.
[default4]:07/02/2024 16:30:34 [WARNING|DP=0|PP=3|TP=0|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty.
[default2]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:07/02/2024 16:30:34 [WARNING|DP=0|PP=2|TP=1|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty.
[default2]:07/02/2024 16:30:34 [WARNING|DP=0|PP=2|TP=2|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty.
[default2]:Repo card metadata block was not found. Setting CardData to empty.
[default6]:07/02/2024 16:30:34 [WARNING|DP=0|PP=1|TP=2|ip-26-0-163-134]: Repo card metadata block was not found. Setting CardData to empty.
[default0]:07/02/2024 16:30:34 [WARNING|DP=0|PP=2|TP=0|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty.
[default7]:07/02/2024 16:30:34 [WARNING|DP=0|PP=3|TP=3|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty.
[default5]:07/02/2024 16:30:34 [WARNING|DP=0|PP=3|TP=1|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty.
[default5]:Repo card metadata block was not found. Setting CardData to empty.
[default7]:07/02/2024 16:30:34 [WARNING|DP=0|PP=1|TP=3|ip-26-0-163-134]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:07/02/2024 16:30:34 [WARNING|DP=0|PP=0|TP=3|ip-26-0-163-134]: Repo card metadata block was not found. Setting CardData to empty.
[default4]:07/02/2024 16:30:34 [WARNING|DP=0|PP=1|TP=0|ip-26-0-163-134]: Repo card metadata block was not found. Setting CardData to empty.
[default0]:Repo card metadata block was not found. Setting CardData to empty.
[default6]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:Repo card metadata block was not found. Setting CardData to empty.
[default3]:Repo card metadata block was not found. Setting CardData to empty.
[default4]:Repo card metadata block was not found. Setting CardData to empty.
[default5]:Repo card metadata block was not found. Setting CardData to empty.
[default7]:Repo card metadata block was not found. Setting CardData to empty.
[default4]:Repo card metadata block was not found. Setting CardData to empty.
[default6]:07/02/2024 16:30:34 [WARNING|DP=0|PP=3|TP=2|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty.
[default7]:[rank7]: OSError: [Errno 122] Disk quota exceeded
[default7]:
[default7]:[rank7]: During handling of the above exception, another exception occurred:
[default7]:
[default7]:[rank7]: Traceback (most recent call last):
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default7]:[rank7]:     trainer.train(dataloader)
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default7]:[rank7]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default7]:[rank7]:     outputs = self.pipeline_engine.train_batch_iter(
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter
[default7]:[rank7]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default7]:[rank7]:     output = model(**micro_batch)
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default7]:[rank7]:     return self._call_impl(*args, **kwargs)
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default7]:[rank7]:     return forward_call(*args, **kwargs)
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default7]:[rank7]:     sharded_logits = self.model(
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default7]:[rank7]:     return self._call_impl(*args, **kwargs)
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default7]:[rank7]:     return forward_call(*args, **kwargs)
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default7]:[rank7]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default7]:[rank7]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default7]:[rank7]:     return self._call_impl(*args, **kwargs)
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default7]:[rank7]:     return forward_call(*args, **kwargs)
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 151, in forward
[default7]:[rank7]:     output = self.pp_block(**new_kwargs)
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default7]:[rank7]:     return self._call_impl(*args, **kwargs)
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default7]:[rank7]:     return forward_call(*args, **kwargs)
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 629, in forward
[default7]:[rank7]:     hidden_states = self.input_layernorm(hidden_states)
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default7]:[rank7]:     return self._call_impl(*args, **kwargs)
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default7]:[rank7]:     return forward_call(*args, **kwargs)
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/nn/layer_norm.py", line 42, in forward
[default7]:[rank7]:     return layer_norm_fn(
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/flash_attn/ops/triton/layer_norm.py", line 875, in layer_norm_fn
[default7]:[rank7]:     return LayerNormFn.apply(
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/autograd/function.py", line 598, in apply
[default7]:[rank7]:     return super().apply(*args, **kwargs)  # type: ignore[misc]
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/flash_attn/ops/triton/layer_norm.py", line 748, in forward
[default7]:[rank7]:     y, y1, mean, rstd, residual_out, seeds, dropout_mask, dropout_mask1 = _layer_norm_fwd(
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/flash_attn/ops/triton/layer_norm.py", line 335, in _layer_norm_fwd
[default7]:[rank7]:     _layer_norm_fwd_1pass_kernel[(M,)](
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/jit.py", line 167, in <lambda>
[default7]:[rank7]:     return lambda *args, **kwargs: self.run(grid=grid, warmup=False, *args, **kwargs)
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/autotuner.py", line 143, in run
[default7]:[rank7]:     timings = {config: self._bench(*args, config=config, **kwargs) for config in pruned_configs}
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/autotuner.py", line 143, in <dictcomp>
[default7]:[rank7]:     timings = {config: self._bench(*args, config=config, **kwargs) for config in pruned_configs}
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/autotuner.py", line 122, in _bench
[default7]:[rank7]:     return do_bench(kernel_call, warmup=self.warmup, rep=self.rep, quantiles=(0.5, 0.2, 0.8))
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/testing.py", line 102, in do_bench
[default7]:[rank7]:     fn()
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/autotuner.py", line 110, in kernel_call
[default7]:[rank7]:     self.fn.run(
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/autotuner.py", line 305, in run
[default7]:[rank7]:     return self.fn.run(*args, **kwargs)
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/autotuner.py", line 305, in run
[default7]:[rank7]:     return self.fn.run(*args, **kwargs)
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/autotuner.py", line 305, in run
[default7]:[rank7]:     return self.fn.run(*args, **kwargs)
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/jit.py", line 416, in run
[default7]:[rank7]:     self.cache[device][key] = compile(
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/compiler/compiler.py", line 194, in compile
[default7]:[rank7]:     metadata_group[f"{src.name}.{ext}"] = fn_cache_manager.put(next_module, f"{src.name}.{ext}")
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/cache.py", line 123, in put
[default7]:[rank7]:     with open(temp_path, mode) as f:
[default7]:[rank7]: OSError: [Errno 122] Disk quota exceeded
W0702 16:30:44.102000 139857647920960 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 1638870 closing signal SIGTERM
W0702 16:30:44.108000 139857647920960 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 1638871 closing signal SIGTERM
W0702 16:30:44.113000 139857647920960 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 1638872 closing signal SIGTERM
W0702 16:30:44.133000 139857647920960 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 1638873 closing signal SIGTERM
W0702 16:30:44.137000 139857647920960 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 1638874 closing signal SIGTERM
W0702 16:30:44.137000 139857647920960 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 1638875 closing signal SIGTERM
W0702 16:30:44.138000 139857647920960 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 1638876 closing signal SIGTERM
[default2]:[rank10]: Traceback (most recent call last):
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default2]:[rank10]:     trainer.train(dataloader)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default2]:[rank10]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default2]:[rank10]:     outputs = self.pipeline_engine.train_batch_iter(
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter
[default2]:[rank10]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default2]:[rank10]:     output = model(**micro_batch)
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default2]:[rank10]:     return self._call_impl(*args, **kwargs)
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default2]:[rank10]:     return forward_call(*args, **kwargs)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default2]:[rank10]:     sharded_logits = self.model(
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default2]:[rank10]:     return self._call_impl(*args, **kwargs)
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default2]:[rank10]:     return forward_call(*args, **kwargs)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default2]:[rank10]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default2]:[rank10]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default2]:[rank10]:     return self._call_impl(*args, **kwargs)
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default2]:[rank10]:     return forward_call(*args, **kwargs)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default2]:[rank10]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default2]:[rank10]:     pipeline_state.run_communication()
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default2]:[rank10]:     recv_activation_tensor = recv_activation()
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default2]:[rank10]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default2]:[rank10]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default2]:[rank10]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default2]:[rank10]:     dist.recv(
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default2]:[rank10]:     return func(*args, **kwargs)
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default2]:[rank10]:     pg.recv([tensor], group_src_rank, tag).wait()
[default2]:[rank10]: torch.distributed.DistBackendError: [2] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '1:2', but store->get('1:2') got error: Connection reset by peer
[default2]:[rank10]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default2]:[rank10]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f1872caa897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default2]:[rank10]: frame #1: <unknown function> + 0x5b3a23e (0x7f18ac7c723e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f18ac7c1c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f18ac7c1f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f18ac7c2fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f18ac777371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f18ac777371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f18ac777371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f18ac777371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f1873f84189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default2]:[rank10]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f1873f8b610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default2]:[rank10]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f1873faa978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default2]:[rank10]: frame #12: <unknown function> + 0x5adc309 (0x7f18ac769309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #13: <unknown function> + 0x5ae6f10 (0x7f18ac773f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f18ac773fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #15: <unknown function> + 0x5124446 (0x7f18abdb1446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #16: <unknown function> + 0x1acf4b8 (0x7f18a875c4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #17: <unknown function> + 0x5aee004 (0x7f18ac77b004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #18: <unknown function> + 0x5af36b5 (0x7f18ac7806b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #19: <unknown function> + 0xd2631e (0x7f18bf36a31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default2]:[rank10]: frame #20: <unknown function> + 0x47def4 (0x7f18beac1ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default2]:[rank10]: frame #21: <unknown function> + 0x1445a6 (0x564b88ac25a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #22: _PyObject_MakeTpCall + 0x26b (0x564b88abba6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #23: <unknown function> + 0x150866 (0x564b88ace866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x564b88ab7142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #25: _PyFunction_Vectorcall + 0x6c (0x564b88ac2a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #26: PyObject_Call + 0xbc (0x564b88acef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x564b88ab52b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #28: _PyFunction_Vectorcall + 0x6c (0x564b88ac2a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x564b88ab38fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #30: <unknown function> + 0x150582 (0x564b88ace582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x564b88ab38fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #32: <unknown function> + 0x150582 (0x564b88ace582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x564b88ab38fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #34: <unknown function> + 0x150582 (0x564b88ace582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x564b88ab38fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x564b88abaf50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #37: _PyObject_Call_Prepend + 0x69 (0x564b88accc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #38: <unknown function> + 0x211239 (0x564b88b8f239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #39: _PyObject_MakeTpCall + 0x26b (0x564b88abba6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x564b88ab73e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #41: _PyFunction_Vectorcall + 0x6c (0x564b88ac2a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x564b88ab2c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #43: _PyFunction_Vectorcall + 0x6c (0x564b88ac2a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x564b88ab38fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #45: <unknown function> + 0x150582 (0x564b88ace582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #46: PyObject_Call + 0xbc (0x564b88acef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x564b88ab52b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #48: <unknown function> + 0x150582 (0x564b88ace582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #49: PyObject_Call + 0xbc (0x564b88acef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x564b88ab52b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #51: _PyFunction_Vectorcall + 0x6c (0x564b88ac2a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x564b88abb007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #53: _PyObject_Call_Prepend + 0x69 (0x564b88accc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #54: <unknown function> + 0x211239 (0x564b88b8f239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #55: PyObject_Call + 0x207 (0x564b88acf067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x564b88ab52b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #57: <unknown function> + 0x150582 (0x564b88ace582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x564b88ab38fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #59: <unknown function> + 0x150582 (0x564b88ace582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #60: PyObject_Call + 0xbc (0x564b88acef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x564b88ab52b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #62: <unknown function> + 0x150582 (0x564b88ace582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #63: PyObject_Call + 0xbc (0x564b88acef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default0]:[rank8]: Traceback (most recent call last):
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default0]:[rank8]:     trainer.train(dataloader)
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default0]:[rank8]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default0]:[rank8]:     outputs = self.pipeline_engine.train_batch_iter(
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter
[default0]:[rank8]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default0]:[rank8]:     output = model(**micro_batch)
[default0]:[rank8]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default0]:[rank8]:     return self._call_impl(*args, **kwargs)
[default0]:[rank8]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default0]:[rank8]:     return forward_call(*args, **kwargs)
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default0]:[rank8]:     sharded_logits = self.model(
[default0]:[rank8]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default0]:[rank8]:     return self._call_impl(*args, **kwargs)
[default0]:[rank8]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default0]:[rank8]:     return forward_call(*args, **kwargs)
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default0]:[rank8]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default0]:[rank8]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default0]:[rank8]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default0]:[rank8]:     return self._call_impl(*args, **kwargs)
[default0]:[rank8]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default0]:[rank8]:     return forward_call(*args, **kwargs)
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default0]:[rank8]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default0]:[rank8]:     pipeline_state.run_communication()
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default0]:[rank8]:     recv_activation_tensor = recv_activation()
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default0]:[rank8]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default0]:[rank8]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default0]:[rank8]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default0]:[rank8]:     dist.recv(
[default0]:[rank8]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default0]:[rank8]:     return func(*args, **kwargs)
[default0]:[rank8]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default0]:[rank8]:     pg.recv([tensor], group_src_rank, tag).wait()
[default0]:[rank8]: torch.distributed.DistBackendError: [2] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '1:2', but store->get('1:2') got error: Connection reset by peer
[default0]:[rank8]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default0]:[rank8]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f391618d897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default0]:[rank8]: frame #1: <unknown function> + 0x5b3a23e (0x7f394fcaa23e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f394fca4c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f394fca4f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f394fca5fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f394fc5a371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f394fc5a371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f394fc5a371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f394fc5a371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f3917467189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:[rank8]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f391746e610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:[rank8]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f391748d978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:[rank8]: frame #12: <unknown function> + 0x5adc309 (0x7f394fc4c309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #13: <unknown function> + 0x5ae6f10 (0x7f394fc56f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f394fc56fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #15: <unknown function> + 0x5124446 (0x7f394f294446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #16: <unknown function> + 0x1acf4b8 (0x7f394bc3f4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #17: <unknown function> + 0x5aee004 (0x7f394fc5e004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #18: <unknown function> + 0x5af36b5 (0x7f394fc636b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #19: <unknown function> + 0xd2631e (0x7f396284d31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default0]:[rank8]: frame #20: <unknown function> + 0x47def4 (0x7f3961fa4ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default0]:[rank8]: frame #21: <unknown function> + 0x1445a6 (0x55694fe665a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55694fe5fa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #23: <unknown function> + 0x150866 (0x55694fe72866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55694fe5b142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55694fe66a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #26: PyObject_Call + 0xbc (0x55694fe72f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55694fe592b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55694fe66a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55694fe578fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #30: <unknown function> + 0x150582 (0x55694fe72582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55694fe578fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #32: <unknown function> + 0x150582 (0x55694fe72582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55694fe578fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #34: <unknown function> + 0x150582 (0x55694fe72582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55694fe578fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55694fe5ef50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55694fe70c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #38: <unknown function> + 0x211239 (0x55694ff33239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55694fe5fa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55694fe5b3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55694fe66a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55694fe56c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55694fe66a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55694fe578fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #45: <unknown function> + 0x150582 (0x55694fe72582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #46: PyObject_Call + 0xbc (0x55694fe72f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55694fe592b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #48: <unknown function> + 0x150582 (0x55694fe72582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #49: PyObject_Call + 0xbc (0x55694fe72f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55694fe592b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55694fe66a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55694fe5f007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55694fe70c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #54: <unknown function> + 0x211239 (0x55694ff33239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #55: PyObject_Call + 0x207 (0x55694fe73067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55694fe592b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #57: <unknown function> + 0x150582 (0x55694fe72582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55694fe578fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #59: <unknown function> + 0x150582 (0x55694fe72582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #60: PyObject_Call + 0xbc (0x55694fe72f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55694fe592b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #62: <unknown function> + 0x150582 (0x55694fe72582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #63: PyObject_Call + 0xbc (0x55694fe72f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default4]:[rank12]: Traceback (most recent call last):
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default4]:[rank12]:     trainer.train(dataloader)
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default4]:[rank12]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default4]:[rank12]:     outputs = self.pipeline_engine.train_batch_iter(
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 278, in train_batch_iter
[default4]:[rank12]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default4]:[rank12]:     output = model(**micro_batch)
[default4]:[rank12]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default4]:[rank12]:     return self._call_impl(*args, **kwargs)
[default4]:[rank12]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default4]:[rank12]:     return forward_call(*args, **kwargs)
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default4]:[rank12]:     sharded_logits = self.model(
[default4]:[rank12]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default4]:[rank12]:     return self._call_impl(*args, **kwargs)
[default4]:[rank12]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default4]:[rank12]:     return forward_call(*args, **kwargs)
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default4]:[rank12]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default4]:[rank12]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default4]:[rank12]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default4]:[rank12]:     return self._call_impl(*args, **kwargs)
[default4]:[rank12]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default4]:[rank12]:     return forward_call(*args, **kwargs)
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default4]:[rank12]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default4]:[rank12]:     pipeline_state.run_communication()
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default4]:[rank12]:     recv_activation_tensor = recv_activation()
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default4]:[rank12]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default4]:[rank12]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default4]:[rank12]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default4]:[rank12]:     dist.recv(
[default4]:[rank12]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default4]:[rank12]:     return func(*args, **kwargs)
[default4]:[rank12]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default4]:[rank12]:     pg.recv([tensor], group_src_rank, tag).wait()
[default4]:[rank12]: torch.distributed.DistBackendError: [3] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '2:3', but store->get('2:3') got error: Connection reset by peer
[default4]:[rank12]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default4]:[rank12]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f0dbf0e5897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default4]:[rank12]: frame #1: <unknown function> + 0x5b3a23e (0x7f0df8c0223e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f0df8bfcc87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f0df8bfcf82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f0df8bfdfd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f0df8bb2371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f0df8bb2371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f0df8bb2371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f0df8bb2371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f0dc03bf189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default4]:[rank12]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f0dc03c6610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default4]:[rank12]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f0dc03e5978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default4]:[rank12]: frame #12: <unknown function> + 0x5adc309 (0x7f0df8ba4309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #13: <unknown function> + 0x5ae6f10 (0x7f0df8baef10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: Traceback (most recent call last):
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default1]:[rank9]:     trainer.train(dataloader)
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default1]:[rank9]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default1]:[rank9]:     outputs = self.pipeline_engine.train_batch_iter(
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter
[default1]:[rank9]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default1]:[rank9]:     output = model(**micro_batch)
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default1]:[rank9]:     return self._call_impl(*args, **kwargs)
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default1]:[rank9]:     return forward_call(*args, **kwargs)
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default1]:[rank9]:     sharded_logits = self.model(
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default1]:[rank9]:     return self._call_impl(*args, **kwargs)
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default1]:[rank9]:     return forward_call(*args, **kwargs)
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default1]:[rank9]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default1]:[rank9]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default1]:[rank9]:     return self._call_impl(*args, **kwargs)
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default1]:[rank9]:     return forward_call(*args, **kwargs)
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default1]:[rank9]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default1]:[rank9]:     pipeline_state.run_communication()
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default1]:[rank9]:     recv_activation_tensor = recv_activation()
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default1]:[rank9]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default1]:[rank9]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default1]:[rank9]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default1]:[rank9]:     dist.recv(
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default1]:[rank9]:     return func(*args, **kwargs)
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default1]:[rank9]:     pg.recv([tensor], group_src_rank, tag).wait()
[default1]:[rank9]: torch.distributed.DistBackendError: [2] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '1:2', but store->get('1:2') got error: Connection reset by peer
[default1]:[rank9]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default1]:[rank9]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fc986fca897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default1]:[rank9]: frame #1: <unknown function> + 0x5b3a23e (0x7fc9c0ae723e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7fc9c0ae1c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7fc9c0ae1f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7fc9c0ae2fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fc9c0a97371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fc9c0a97371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fc9c0a97371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fc9c0a97371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7fc9882a4189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:[rank9]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7fc9882ab610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:[rank9]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7fc9882ca978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:[rank9]: frame #12: <unknown function> + 0x5adc309 (0x7fc9c0a89309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #13: <unknown function> + 0x5ae6f10 (0x7fc9c0a93f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #14: <unknown function> + 0x5ae6fa5 (0x7fc9c0a93fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #15: <unknown function> + 0x5124446 (0x7fc9c00d1446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #16: <unknown function> + 0x1acf4b8 (0x7fc9bca7c4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #17: <unknown function> + 0x5aee004 (0x7fc9c0a9b004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #18: <unknown function> + 0x5af36b5 (0x7fc9c0aa06b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #19: <unknown function> + 0xd2631e (0x7fc9d368a31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default1]:[rank9]: frame #20: <unknown function> + 0x47def4 (0x7fc9d2de1ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default1]:[rank9]: frame #21: <unknown function> + 0x1445a6 (0x56138b6e55a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #22: _PyObject_MakeTpCall + 0x26b (0x56138b6dea6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #23: <unknown function> + 0x150866 (0x56138b6f1866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x56138b6da142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #25: _PyFunction_Vectorcall + 0x6c (0x56138b6e5a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #26: PyObject_Call + 0xbc (0x56138b6f1f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x56138b6d82b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #28: _PyFunction_Vectorcall + 0x6c (0x56138b6e5a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x56138b6d68fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #30: <unknown function> + 0x150582 (0x56138b6f1582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x56138b6d68fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #32: <unknown function> + 0x150582 (0x56138b6f1582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x56138b6d68fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #34: <unknown function> + 0x150582 (0x56138b6f1582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x56138b6d68fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x56138b6ddf50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #37: _PyObject_Call_Prepend + 0x69 (0x56138b6efc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #38: <unknown function> + 0x211239 (0x56138b7b2239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #39: _PyObject_MakeTpCall + 0x26b (0x56138b6dea6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x56138b6da3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #41: _PyFunction_Vectorcall + 0x6c (0x56138b6e5a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x56138b6d5c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #43: _PyFunction_Vectorcall + 0x6c (0x56138b6e5a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x56138b6d68fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #45: <unknown function> + 0x150582 (0x56138b6f1582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #46: PyObject_Call + 0xbc (0x56138b6f1f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x56138b6d82b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #48: <unknown function> + 0x150582 (0x56138b6f1582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #49: PyObject_Call + 0xbc (0x56138b6f1f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x56138b6d82b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #51: _PyFunction_Vectorcall + 0x6c (0x56138b6e5a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x56138b6de007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #53: _PyObject_Call_Prepend + 0x69 (0x56138b6efc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #54: <unknown function> + 0x211239 (0x56138b7b2239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #55: PyObject_Call + 0x207 (0x56138b6f2067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x56138b6d82b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #57: <unknown function> + 0x150582 (0x56138b6f1582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x56138b6d68fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #59: <unknown function> + 0x150582 (0x56138b6f1582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #60: PyObject_Call + 0xbc (0x56138b6f1f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x56138b6d82b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #62: <unknown function> + 0x150582 (0x56138b6f1582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #63: PyObject_Call + 0xbc (0x56138b6f1f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default6]:[rank14]: Traceback (most recent call last):
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default6]:[rank14]:     trainer.train(dataloader)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default6]:[rank14]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default6]:[rank14]:     outputs = self.pipeline_engine.train_batch_iter(
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 278, in train_batch_iter
[default6]:[rank14]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default6]:[rank14]:     output = model(**micro_batch)
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default6]:[rank14]:     return self._call_impl(*args, **kwargs)
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default6]:[rank14]:     return forward_call(*args, **kwargs)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default6]:[rank14]:     sharded_logits = self.model(
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default6]:[rank14]:     return self._call_impl(*args, **kwargs)
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default6]:[rank14]:     return forward_call(*args, **kwargs)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default6]:[rank14]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default6]:[rank14]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default6]:[rank14]:     return self._call_impl(*args, **kwargs)
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default6]:[rank14]:     return forward_call(*args, **kwargs)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default6]:[rank14]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default6]:[rank14]:     pipeline_state.run_communication()
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default6]:[rank14]:     recv_activation_tensor = recv_activation()
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default6]:[rank14]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default6]:[rank14]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default6]:[rank14]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default6]:[rank14]:     dist.recv(
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default6]:[rank14]:     return func(*args, **kwargs)
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default6]:[rank14]:     pg.recv([tensor], group_src_rank, tag).wait()
[default6]:[rank14]: torch.distributed.DistBackendError: [3] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '2:3', but store->get('2:3') got error: Connection reset by peer
[default6]:[rank14]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default6]:[rank14]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f44d7c10897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default6]:[rank14]: frame #1: <unknown function> + 0x5b3a23e (0x7f451172d23e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f4511727c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f4511727f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f4511728fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f45116dd371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f45116dd371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f45116dd371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f45116dd371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f44d8eea189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default6]:[rank14]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f44d8ef1610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default6]:[rank14]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f44d8f10978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default6]:[rank14]: frame #12: <unknown function> + 0x5adc309 (0x7f45116cf309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #13: <unknown function> + 0x5ae6f10 (0x7f45116d9f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f45116d9fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #15: <unknown function> + 0x5124446 (0x7f4510d17446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #16: <unknown function> + 0x1acf4b8 (0x7f450d6c24b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #17: <unknown function> + 0x5aee004 (0x7f45116e1004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #18: <unknown function> + 0x5af36b5 (0x7f45116e66b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #19: <unknown function> + 0xd2631e (0x7f45242d031e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default6]:[rank14]: frame #20: <unknown function> + 0x47def4 (0x7f4523a27ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default6]:[rank14]: frame #21: <unknown function> + 0x1445a6 (0x55d534ee05a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55d534ed9a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #23: <unknown function> + 0x150866 (0x55d534eec866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55d534ed5142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55d534ee0a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #26: PyObject_Call + 0xbc (0x55d534eecf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55d534ed32b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55d534ee0a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55d534ed18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #30: <unknown function> + 0x150582 (0x55d534eec582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55d534ed18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #32: <unknown function> + 0x150582 (0x55d534eec582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55d534ed18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #34: <unknown function> + 0x150582 (0x55d534eec582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55d534ed18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55d534ed8f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55d534eeac39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #38: <unknown function> + 0x211239 (0x55d534fad239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55d534ed9a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55d534ed53e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55d534ee0a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55d534ed0c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55d534ee0a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55d534ed18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #45: <unknown function> + 0x150582 (0x55d534eec582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #46: PyObject_Call + 0xbc (0x55d534eecf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55d534ed32b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #48: <unknown function> + 0x150582 (0x55d534eec582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #49: PyObject_Call + 0xbc (0x55d534eecf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55d534ed32b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55d534ee0a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55d534ed9007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55d534eeac39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #54: <unknown function> + 0x211239 (0x55d534fad239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #55: PyObject_Call + 0x207 (0x55d534eed067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55d534ed32b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #57: <unknown function> + 0x150582 (0x55d534eec582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55d534ed18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #59: <unknown function> + 0x150582 (0x55d534eec582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #60: PyObject_Call + 0xbc (0x55d534eecf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55d534ed32b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #62: <unknown function> + 0x150582 (0x55d534eec582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #63: PyObject_Call + 0xbc (0x55d534eecf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default4]:[rank12]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f0df8baefa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #15: <unknown function> + 0x5124446 (0x7f0df81ec446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #16: <unknown function> + 0x1acf4b8 (0x7f0df4b974b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #17: <unknown function> + 0x5aee004 (0x7f0df8bb6004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #18: <unknown function> + 0x5af36b5 (0x7f0df8bbb6b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #19: <unknown function> + 0xd2631e (0x7f0e0b7a531e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default4]:[rank12]: frame #20: <unknown function> + 0x47def4 (0x7f0e0aefcef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default4]:[rank12]: frame #21: <unknown function> + 0x1445a6 (0x556c3bcc45a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #22: _PyObject_MakeTpCall + 0x26b (0x556c3bcbda6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #23: <unknown function> + 0x150866 (0x556c3bcd0866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x556c3bcb9142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #25: _PyFunction_Vectorcall + 0x6c (0x556c3bcc4a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #26: PyObject_Call + 0xbc (0x556c3bcd0f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x556c3bcb72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #28: _PyFunction_Vectorcall + 0x6c (0x556c3bcc4a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x556c3bcb58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #30: <unknown function> + 0x150582 (0x556c3bcd0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x556c3bcb58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #32: <unknown function> + 0x150582 (0x556c3bcd0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x556c3bcb58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #34: <unknown function> + 0x150582 (0x556c3bcd0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x556c3bcb58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x556c3bcbcf50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #37: _PyObject_Call_Prepend + 0x69 (0x556c3bccec39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #38: <unknown function> + 0x211239 (0x556c3bd91239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #39: _PyObject_MakeTpCall + 0x26b (0x556c3bcbda6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x556c3bcb93e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #41: _PyFunction_Vectorcall + 0x6c (0x556c3bcc4a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x556c3bcb4c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #43: _PyFunction_Vectorcall + 0x6c (0x556c3bcc4a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x556c3bcb58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #45: <unknown function> + 0x150582 (0x556c3bcd0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #46: PyObject_Call + 0xbc (0x556c3bcd0f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x556c3bcb72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #48: <unknown function> + 0x150582 (0x556c3bcd0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #49: PyObject_Call + 0xbc (0x556c3bcd0f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x556c3bcb72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #51: _PyFunction_Vectorcall + 0x6c (0x556c3bcc4a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x556c3bcbd007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #53: _PyObject_Call_Prepend + 0x69 (0x556c3bccec39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #54: <unknown function> + 0x211239 (0x556c3bd91239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #55: PyObject_Call + 0x207 (0x556c3bcd1067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x556c3bcb72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #57: <unknown function> + 0x150582 (0x556c3bcd0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x556c3bcb58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #59: <unknown function> + 0x150582 (0x556c3bcd0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #60: PyObject_Call + 0xbc (0x556c3bcd0f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x556c3bcb72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #62: <unknown function> + 0x150582 (0x556c3bcd0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #63: PyObject_Call + 0xbc (0x556c3bcd0f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default5]:[rank13]: Traceback (most recent call last):
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default5]:[rank13]:     trainer.train(dataloader)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default5]:[rank13]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default5]:[rank13]:     outputs = self.pipeline_engine.train_batch_iter(
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 278, in train_batch_iter
[default5]:[rank13]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default5]:[rank13]:     output = model(**micro_batch)
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default5]:[rank13]:     return self._call_impl(*args, **kwargs)
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default5]:[rank13]:     return forward_call(*args, **kwargs)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default5]:[rank13]:     sharded_logits = self.model(
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default5]:[rank13]:     return self._call_impl(*args, **kwargs)
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default5]:[rank13]:     return forward_call(*args, **kwargs)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default5]:[rank13]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default5]:[rank13]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default5]:[rank13]:     return self._call_impl(*args, **kwargs)
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default5]:[rank13]:     return forward_call(*args, **kwargs)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default5]:[rank13]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default5]:[rank13]:     pipeline_state.run_communication()
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default5]:[rank13]:     recv_activation_tensor = recv_activation()
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default5]:[rank13]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default5]:[rank13]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default5]:[rank13]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default5]:[rank13]:     dist.recv(
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default5]:[rank13]:     return func(*args, **kwargs)
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default5]:[rank13]:     pg.recv([tensor], group_src_rank, tag).wait()
[default5]:[rank13]: torch.distributed.DistBackendError: [3] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '2:3', but store->get('2:3') got error: Connection reset by peer
[default5]:[rank13]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default5]:[rank13]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f2129bc3897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default5]:[rank13]: frame #1: <unknown function> + 0x5b3a23e (0x7f21636e023e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f21636dac87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f21636daf82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f21636dbfd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f2163690371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f2163690371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f2163690371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f2163690371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f212ae9d189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default5]:[rank13]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f212aea4610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default5]:[rank13]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f212aec3978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default5]:[rank13]: frame #12: <unknown function> + 0x5adc309 (0x7f2163682309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #13: <unknown function> + 0x5ae6f10 (0x7f216368cf10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f216368cfa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #15: <unknown function> + 0x5124446 (0x7f2162cca446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #16: <unknown function> + 0x1acf4b8 (0x7f215f6754b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #17: <unknown function> + 0x5aee004 (0x7f2163694004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #18: <unknown function> + 0x5af36b5 (0x7f21636996b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #19: <unknown function> + 0xd2631e (0x7f217628331e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default5]:[rank13]: frame #20: <unknown function> + 0x47def4 (0x7f21759daef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default5]:[rank13]: frame #21: <unknown function> + 0x1445a6 (0x562e988f75a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #22: _PyObject_MakeTpCall + 0x26b (0x562e988f0a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #23: <unknown function> + 0x150866 (0x562e98903866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x562e988ec142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #25: _PyFunction_Vectorcall + 0x6c (0x562e988f7a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #26: PyObject_Call + 0xbc (0x562e98903f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x562e988ea2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #28: _PyFunction_Vectorcall + 0x6c (0x562e988f7a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x562e988e88fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #30: <unknown function> + 0x150582 (0x562e98903582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x562e988e88fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #32: <unknown function> + 0x150582 (0x562e98903582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x562e988e88fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #34: <unknown function> + 0x150582 (0x562e98903582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x562e988e88fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x562e988eff50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #37: _PyObject_Call_Prepend + 0x69 (0x562e98901c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #38: <unknown function> + 0x211239 (0x562e989c4239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #39: _PyObject_MakeTpCall + 0x26b (0x562e988f0a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x562e988ec3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #41: _PyFunction_Vectorcall + 0x6c (0x562e988f7a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x562e988e7c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #43: _PyFunction_Vectorcall + 0x6c (0x562e988f7a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x562e988e88fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #45: <unknown function> + 0x150582 (0x562e98903582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #46: PyObject_Call + 0xbc (0x562e98903f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x562e988ea2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #48: <unknown function> + 0x150582 (0x562e98903582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #49: PyObject_Call + 0xbc (0x562e98903f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x562e988ea2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #51: _PyFunction_Vectorcall + 0x6c (0x562e988f7a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x562e988f0007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #53: _PyObject_Call_Prepend + 0x69 (0x562e98901c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #54: <unknown function> + 0x211239 (0x562e989c4239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #55: PyObject_Call + 0x207 (0x562e98904067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x562e988ea2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #57: <unknown function> + 0x150582 (0x562e98903582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x562e988e88fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #59: <unknown function> + 0x150582 (0x562e98903582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #60: PyObject_Call + 0xbc (0x562e98903f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x562e988ea2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #62: <unknown function> + 0x150582 (0x562e98903582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #63: PyObject_Call + 0xbc (0x562e98903f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default7]:[rank15]: Traceback (most recent call last):
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default7]:[rank15]:     trainer.train(dataloader)
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default7]:[rank15]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default7]:[rank15]:     outputs = self.pipeline_engine.train_batch_iter(
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 278, in train_batch_iter
[default7]:[rank15]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default7]:[rank15]:     output = model(**micro_batch)
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default7]:[rank15]:     return self._call_impl(*args, **kwargs)
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default7]:[rank15]:     return forward_call(*args, **kwargs)
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default7]:[rank15]:     sharded_logits = self.model(
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default7]:[rank15]:     return self._call_impl(*args, **kwargs)
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default7]:[rank15]:     return forward_call(*args, **kwargs)
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default7]:[rank15]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default7]:[rank15]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default7]:[rank15]:     return self._call_impl(*args, **kwargs)
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default7]:[rank15]:     return forward_call(*args, **kwargs)
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default7]:[rank15]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default7]:[rank15]:     pipeline_state.run_communication()
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default7]:[rank15]:     recv_activation_tensor = recv_activation()
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default7]:[rank15]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default7]:[rank15]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default7]:[rank15]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default7]:[rank15]:     dist.recv(
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default7]:[rank15]:     return func(*args, **kwargs)
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default7]:[rank15]:     pg.recv([tensor], group_src_rank, tag).wait()
[default7]:[rank15]: torch.distributed.DistBackendError: [3] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '2:3', but store->get('2:3') got error: Connection reset by peer
[default7]:[rank15]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default7]:[rank15]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f14f6e02897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default7]:[rank15]: frame #1: <unknown function> + 0x5b3a23e (0x7f153091f23e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f1530919c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f1530919f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f153091afd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f15308cf371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f15308cf371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f15308cf371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f15308cf371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f14f80dc189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:[rank15]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f14f80e3610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:[rank15]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f14f8102978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:[rank15]: frame #12: <unknown function> + 0x5adc309 (0x7f15308c1309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #13: <unknown function> + 0x5ae6f10 (0x7f15308cbf10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f15308cbfa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #15: <unknown function> + 0x5124446 (0x7f152ff09446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #16: <unknown function> + 0x1acf4b8 (0x7f152c8b44b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #17: <unknown function> + 0x5aee004 (0x7f15308d3004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #18: <unknown function> + 0x5af36b5 (0x7f15308d86b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #19: <unknown function> + 0xd2631e (0x7f15434c231e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default7]:[rank15]: frame #20: <unknown function> + 0x47def4 (0x7f1542c19ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default7]:[rank15]: frame #21: <unknown function> + 0x1445a6 (0x560e50efb5a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #22: _PyObject_MakeTpCall + 0x26b (0x560e50ef4a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #23: <unknown function> + 0x150866 (0x560e50f07866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x560e50ef0142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #25: _PyFunction_Vectorcall + 0x6c (0x560e50efba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #26: PyObject_Call + 0xbc (0x560e50f07f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x560e50eee2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #28: _PyFunction_Vectorcall + 0x6c (0x560e50efba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x560e50eec8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #30: <unknown function> + 0x150582 (0x560e50f07582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x560e50eec8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #32: <unknown function> + 0x150582 (0x560e50f07582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x560e50eec8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #34: <unknown function> + 0x150582 (0x560e50f07582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x560e50eec8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x560e50ef3f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #37: _PyObject_Call_Prepend + 0x69 (0x560e50f05c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #38: <unknown function> + 0x211239 (0x560e50fc8239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #39: _PyObject_MakeTpCall + 0x26b (0x560e50ef4a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x560e50ef03e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #41: _PyFunction_Vectorcall + 0x6c (0x560e50efba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x560e50eebc5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #43: _PyFunction_Vectorcall + 0x6c (0x560e50efba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x560e50eec8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #45: <unknown function> + 0x150582 (0x560e50f07582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #46: PyObject_Call + 0xbc (0x560e50f07f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x560e50eee2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #48: <unknown function> + 0x150582 (0x560e50f07582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #49: PyObject_Call + 0xbc (0x560e50f07f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x560e50eee2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #51: _PyFunction_Vectorcall + 0x6c (0x560e50efba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x560e50ef4007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #53: _PyObject_Call_Prepend + 0x69 (0x560e50f05c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #54: <unknown function> + 0x211239 (0x560e50fc8239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #55: PyObject_Call + 0x207 (0x560e50f08067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x560e50eee2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #57: <unknown function> + 0x150582 (0x560e50f07582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x560e50eec8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #59: <unknown function> + 0x150582 (0x560e50f07582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #60: PyObject_Call + 0xbc (0x560e50f07f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x560e50eee2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #62: <unknown function> + 0x150582 (0x560e50f07582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #63: PyObject_Call + 0xbc (0x560e50f07f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default3]:[rank11]: Traceback (most recent call last):
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default3]:[rank11]:     trainer.train(dataloader)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default3]:[rank11]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default3]:[rank11]:     outputs = self.pipeline_engine.train_batch_iter(
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter
[default3]:[rank11]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default3]:[rank11]:     output = model(**micro_batch)
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default3]:[rank11]:     return self._call_impl(*args, **kwargs)
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default3]:[rank11]:     return forward_call(*args, **kwargs)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default3]:[rank11]:     sharded_logits = self.model(
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default3]:[rank11]:     return self._call_impl(*args, **kwargs)
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default3]:[rank11]:     return forward_call(*args, **kwargs)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default3]:[rank11]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default3]:[rank11]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default3]:[rank11]:     return self._call_impl(*args, **kwargs)
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default3]:[rank11]:     return forward_call(*args, **kwargs)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default3]:[rank11]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default3]:[rank11]:     pipeline_state.run_communication()
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default3]:[rank11]:     recv_activation_tensor = recv_activation()
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default3]:[rank11]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default3]:[rank11]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default3]:[rank11]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default3]:[rank11]:     dist.recv(
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default3]:[rank11]:     return func(*args, **kwargs)
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default3]:[rank11]:     pg.recv([tensor], group_src_rank, tag).wait()
[default3]:[rank11]: torch.distributed.DistBackendError: [2] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '1:2', but store->get('1:2') got error: Connection reset by peer
[default3]:[rank11]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default3]:[rank11]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f6329584897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default3]:[rank11]: frame #1: <unknown function> + 0x5b3a23e (0x7f63630a123e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f636309bc87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f636309bf82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f636309cfd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f6363051371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f6363051371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f6363051371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f6363051371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f632a85e189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default3]:[rank11]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f632a865610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default3]:[rank11]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f632a884978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default3]:[rank11]: frame #12: <unknown function> + 0x5adc309 (0x7f6363043309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #13: <unknown function> + 0x5ae6f10 (0x7f636304df10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f636304dfa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #15: <unknown function> + 0x5124446 (0x7f636268b446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #16: <unknown function> + 0x1acf4b8 (0x7f635f0364b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #17: <unknown function> + 0x5aee004 (0x7f6363055004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #18: <unknown function> + 0x5af36b5 (0x7f636305a6b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #19: <unknown function> + 0xd2631e (0x7f6375c4431e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default3]:[rank11]: frame #20: <unknown function> + 0x47def4 (0x7f637539bef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default3]:[rank11]: frame #21: <unknown function> + 0x1445a6 (0x55723567c5a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #22: _PyObject_MakeTpCall + 0x26b (0x557235675a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #23: <unknown function> + 0x150866 (0x557235688866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x557235671142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55723567ca2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #26: PyObject_Call + 0xbc (0x557235688f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55723566f2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55723567ca2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55723566d8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #30: <unknown function> + 0x150582 (0x557235688582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55723566d8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #32: <unknown function> + 0x150582 (0x557235688582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55723566d8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #34: <unknown function> + 0x150582 (0x557235688582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55723566d8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x557235674f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #37: _PyObject_Call_Prepend + 0x69 (0x557235686c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #38: <unknown function> + 0x211239 (0x557235749239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #39: _PyObject_MakeTpCall + 0x26b (0x557235675a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x5572356713e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55723567ca2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55723566cc5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55723567ca2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55723566d8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #45: <unknown function> + 0x150582 (0x557235688582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #46: PyObject_Call + 0xbc (0x557235688f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55723566f2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #48: <unknown function> + 0x150582 (0x557235688582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #49: PyObject_Call + 0xbc (0x557235688f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55723566f2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55723567ca2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x557235675007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #53: _PyObject_Call_Prepend + 0x69 (0x557235686c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #54: <unknown function> + 0x211239 (0x557235749239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #55: PyObject_Call + 0x207 (0x557235689067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55723566f2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #57: <unknown function> + 0x150582 (0x557235688582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55723566d8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #59: <unknown function> + 0x150582 (0x557235688582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #60: PyObject_Call + 0xbc (0x557235688f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55723566f2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #62: <unknown function> + 0x150582 (0x557235688582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #63: PyObject_Call + 0xbc (0x557235688f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: . This may indicate a possible application crash on rank 0 or a network set up issue.
E0702 16:30:47.220000 139857647920960 torch/distributed/elastic/multiprocessing/api.py:826] failed (exitcode: 1) local_rank: 7 (pid: 1638877) of binary: /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10
Traceback (most recent call last):
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/torchrun", line 8, in <module>
    sys.exit(main())
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 347, in wrapper
    return f(*args, **kwargs)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 879, in main
    run(args)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 870, in run
    elastic_launch(
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 132, in __call__
    return launch_agent(self._config, self._entrypoint, list(args))
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 263, in launch_agent
    raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
============================================================
/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py FAILED
------------------------------------------------------------
Failures:
  <NO_OTHER_FAILURES>
------------------------------------------------------------
Root Cause (first observed failure):
[0]:
  time      : 2024-07-02_16:30:44
  host      : ip-26-0-163-134.ec2.internal
  rank      : 7 (local_rank: 7)
  exitcode  : 1 (pid: 1638877)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
============================================================
srun: error: ip-26-0-163-134: task 0: Exited with exit code 1
W0702 16:30:49.081000 140515845318400 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1252] The node 'ip-26-0-163-147.ec2.internal_333791_0' has failed to send a keep-alive heartbeat to the rendezvous 'none' due to an error of type RendezvousConnectionError.
W0702 16:30:49.111000 140521512138560 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 333860 closing signal SIGTERM
W0702 16:30:49.111000 140521512138560 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 333861 closing signal SIGTERM
W0702 16:30:49.112000 140521512138560 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 333862 closing signal SIGTERM
W0702 16:30:49.112000 140521512138560 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 333863 closing signal SIGTERM
W0702 16:30:49.112000 140521512138560 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 333864 closing signal SIGTERM
W0702 16:30:49.113000 140521512138560 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 333865 closing signal SIGTERM
W0702 16:30:49.113000 140521512138560 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 333866 closing signal SIGTERM
E0702 16:30:50.232000 140521512138560 torch/distributed/elastic/multiprocessing/api.py:826] failed (exitcode: 1) local_rank: 0 (pid: 333859) of binary: /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10
W0702 16:30:50.237000 140521512138560 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1203] The node 'ip-26-0-163-147.ec2.internal_333791_0' has failed to shutdown the rendezvous 'none' due to an error of type RendezvousConnectionError.
W0702 16:30:50.266000 140521512138560 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1203] The node 'ip-26-0-163-147.ec2.internal_333791_0' has failed to shutdown the rendezvous 'none' due to an error of type RendezvousConnectionError.
W0702 16:30:50.274000 140521512138560 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1203] The node 'ip-26-0-163-147.ec2.internal_333791_0' has failed to shutdown the rendezvous 'none' due to an error of type RendezvousConnectionError.
Traceback (most recent call last):
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/torchrun", line 8, in <module>
    sys.exit(main())
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 347, in wrapper
    return f(*args, **kwargs)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 879, in main
    run(args)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 870, in run
    elastic_launch(
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 132, in __call__
    return launch_agent(self._config, self._entrypoint, list(args))
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 263, in launch_agent
    raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
============================================================
/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py FAILED
------------------------------------------------------------
Failures:
  <NO_OTHER_FAILURES>
------------------------------------------------------------
Root Cause (first observed failure):
[0]:
  time      : 2024-07-02_16:30:49
  host      : ip-26-0-163-147.ec2.internal
  rank      : 8 (local_rank: 0)
  exitcode  : 1 (pid: 333859)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
============================================================
srun: error: ip-26-0-163-147: task 1: Exited with exit code 1
Consider using `hf_transfer` for faster uploads. This solution comes with some limitations. See https://huggingface.co/docs/huggingface_hub/hf_transfer for more details.