======================== START TIME: Tue Jul 2 16:30:00 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 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 16:30:03.153000 140613370099520 torch/distributed/run.py:757] W0702 16:30:03.153000 140613370099520 torch/distributed/run.py:757] ***************************************** W0702 16:30:03.153000 140613370099520 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 16:30:03.153000 140613370099520 torch/distributed/run.py:757] ***************************************** W0702 16:30:03.156000 139726838032192 torch/distributed/run.py:757] W0702 16:30:03.156000 139726838032192 torch/distributed/run.py:757] ***************************************** W0702 16:30:03.156000 139726838032192 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 16:30:03.156000 139726838032192 torch/distributed/run.py:757] ***************************************** [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: Config: [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: Config(general=GeneralArgs(project='bench_cluster', [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: run='%date_%jobid', [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: seed=42, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: step=None, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: consumed_train_samples=None, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: benchmark_csv_path=None, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: ignore_sanity_checks=True), [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: parallelism=ParallelismArgs(dp=2, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: pp=8, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: tp=1, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: pp_engine=, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: tp_mode=, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: tp_linear_async_communication=False, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: expert_parallel_size=1), [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: model=ModelArgs(model_config=LlamaConfig(bos_token_id=1, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: eos_token_id=2, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: hidden_act='silu', [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: hidden_size=2048, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: initializer_range=0.02, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: intermediate_size=4096, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: is_llama_config=True, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: max_position_embeddings=4096, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: num_attention_heads=32, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: num_hidden_layers=24, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: num_key_value_heads=32, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: pad_token_id=None, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: pretraining_tp=1, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: rms_norm_eps=1e-05, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: rope_scaling=None, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: rope_theta=10000.0, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: tie_word_embeddings=True, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: use_cache=True, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: vocab_size=50257), [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: init_method=RandomInit(std=0.025), [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: dtype=torch.bfloat16, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: make_vocab_size_divisible_by=1, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: ddp_bucket_cap_mb=25), [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: tokenizer=TokenizerArgs(tokenizer_name_or_path='openai-community/gpt2', [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: tokenizer_revision=None, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: tokenizer_max_length=None), [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: checkpoints=CheckpointsArgs(checkpoints_path=Path('/dev/null'), [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: checkpoint_interval=100000, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: save_initial_state=False, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: resume_checkpoint_path=None, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: checkpoints_path_is_shared_file_system=False), [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: logging=LoggingArgs(log_level='info', [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: log_level_replica='info', [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: iteration_step_info_interval=1), [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: tokens=TokensArgs(sequence_length=4096, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: train_steps=20, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: micro_batch_size=2, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: batch_accumulation_per_replica=256, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: val_check_interval=-1, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: limit_val_batches=0, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: limit_test_batches=0), [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: optimizer=OptimizerArgs(optimizer_factory=AdamWOptimizerArgs(adam_eps=1e-08, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: adam_beta1=0.9, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: adam_beta2=0.95, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: torch_adam_is_fused=True, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: name='adamW'), [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: zero_stage=1, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: weight_decay=0.01, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: clip_grad=1.0, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: accumulate_grad_in_fp32=True, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: learning_rate_scheduler=LRSchedulerArgs(learning_rate=0.0001, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: lr_warmup_steps=1, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: lr_warmup_style='linear', [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: lr_decay_style='linear', [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: lr_decay_steps=19, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: lr_decay_starting_step=None, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: min_decay_lr=1e-05)), [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: data_stages=[DatasetStageArgs(name='Training Stage', [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: start_training_step=1, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: data=DataArgs(dataset=PretrainDatasetsArgs(hf_dataset_or_datasets='roneneldan/TinyStories', [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: hf_dataset_splits='train', [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: hf_dataset_config_name=None, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: dataset_processing_num_proc_per_process=64, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: dataset_overwrite_cache=False, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: text_column_name='text'), [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: seed=42, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: num_loading_workers=32))], [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: profiler=ProfilerArgs(profiler_export_path=Path('/fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/16_GPUS/dp-2_tp-1_pp-8_mbz-2')), [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: lighteval=None) [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: Model Config: [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: LlamaConfig(bos_token_id=1, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: eos_token_id=2, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: hidden_act='silu', [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: hidden_size=2048, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: initializer_range=0.02, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: intermediate_size=4096, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: is_llama_config=True, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: max_position_embeddings=4096, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: num_attention_heads=32, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: num_hidden_layers=24, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: num_key_value_heads=32, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: pad_token_id=None, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: pretraining_tp=1, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: rms_norm_eps=1e-05, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: rope_scaling=None, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: rope_theta=10000.0, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: tie_word_embeddings=True, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: use_cache=True, [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: vocab_size=50257) [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: Building model.. [default0]:07/02/2024 16:30:21 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: Setting PP block ranks... [default6]:07/02/2024 16:30:34 [INFO|DP=0|PP=3|TP=0|ip-26-0-169-239]: Local number of parameters: 168M (320.03MiB) [default6]:07/02/2024 16:30:34 [INFO|DP=0|PP=3|TP=0|ip-26-0-169-239]: [After model building] Memory usage: 324.04MiB. Peak allocated: 326.07MiB Peak reserved: 336.00MiB [default6]:07/02/2024 16:30:34 [INFO|DP=0|PP=3|TP=0|ip-26-0-169-239]: No checkpoint path provided. [default2]:07/02/2024 16:30:34 [INFO|DP=0|PP=1|TP=0|ip-26-0-169-239]: Local number of parameters: 126M (240.02MiB) [default2]:07/02/2024 16:30:34 [INFO|DP=0|PP=1|TP=0|ip-26-0-169-239]: [After model building] Memory usage: 243.03MiB. Peak allocated: 245.06MiB Peak reserved: 262.00MiB [default2]:07/02/2024 16:30:34 [INFO|DP=0|PP=1|TP=0|ip-26-0-169-239]: No checkpoint path provided. [default0]:07/02/2024 16:30:34 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: Total number of parameters: 1.21G (2312.82MiB) [default0]:07/02/2024 16:30:34 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: Local number of parameters: 271M (516.35MiB) [default0]:07/02/2024 16:30:34 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: [After model building] Memory usage: 520.36MiB. Peak allocated: 522.39MiB Peak reserved: 534.00MiB [default0]:07/02/2024 16:30:34 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: No checkpoint path provided. [default0]:07/02/2024 16:30:34 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: Parametrizing model parameters using StandardParametrizator [default4]:07/02/2024 16:30:34 [INFO|DP=0|PP=2|TP=0|ip-26-0-169-239]: Local number of parameters: 126M (240.02MiB) [default4]:07/02/2024 16:30:34 [INFO|DP=0|PP=2|TP=0|ip-26-0-169-239]: [After model building] Memory usage: 243.03MiB. Peak allocated: 245.06MiB Peak reserved: 262.00MiB [default4]:07/02/2024 16:30:34 [INFO|DP=0|PP=2|TP=0|ip-26-0-169-239]: No checkpoint path provided. [default4]:07/02/2024 16:30:34 [INFO|DP=0|PP=6|TP=0|ip-26-0-169-247]: Local number of parameters: 168M (320.03MiB) [default4]:07/02/2024 16:30:34 [INFO|DP=0|PP=6|TP=0|ip-26-0-169-247]: [After model building] Memory usage: 324.04MiB. Peak allocated: 326.07MiB Peak reserved: 336.00MiB [default4]:07/02/2024 16:30:34 [INFO|DP=0|PP=6|TP=0|ip-26-0-169-247]: No checkpoint path provided. [default0]:07/02/2024 16:30:34 [INFO|DP=0|PP=4|TP=0|ip-26-0-169-247]: Local number of parameters: 126M (240.02MiB) [default0]:07/02/2024 16:30:34 [INFO|DP=0|PP=4|TP=0|ip-26-0-169-247]: [After model building] Memory usage: 243.03MiB. Peak allocated: 245.06MiB Peak reserved: 262.00MiB [default0]:07/02/2024 16:30:34 [INFO|DP=0|PP=4|TP=0|ip-26-0-169-247]: No checkpoint path provided. [default6]:07/02/2024 16:30:34 [INFO|DP=0|PP=7|TP=0|ip-26-0-169-247]: Local number of parameters: 103M (196.32MiB) [default6]:07/02/2024 16:30:34 [INFO|DP=0|PP=7|TP=0|ip-26-0-169-247]: [After model building] Memory usage: 196.33MiB. Peak allocated: 196.34MiB Peak reserved: 200.00MiB [default6]:07/02/2024 16:30:34 [INFO|DP=0|PP=7|TP=0|ip-26-0-169-247]: No checkpoint path provided. [default2]:07/02/2024 16:30:34 [INFO|DP=0|PP=5|TP=0|ip-26-0-169-247]: Local number of parameters: 126M (240.02MiB) [default2]:07/02/2024 16:30:34 [INFO|DP=0|PP=5|TP=0|ip-26-0-169-247]: [After model building] Memory usage: 243.03MiB. Peak allocated: 245.06MiB Peak reserved: 262.00MiB [default2]:07/02/2024 16:30:34 [INFO|DP=0|PP=5|TP=0|ip-26-0-169-247]: No checkpoint path provided. [default7]:07/02/2024 16:30:35 [INFO|DP=1|PP=3|TP=0|ip-26-0-169-239]: No checkpoint path provided. [default3]:07/02/2024 16:30:35 [INFO|DP=1|PP=1|TP=0|ip-26-0-169-239]: No checkpoint path provided. [default1]:07/02/2024 16:30:35 [INFO|DP=1|PP=0|TP=0|ip-26-0-169-239]: No checkpoint path provided. [default5]:07/02/2024 16:30:35 [INFO|DP=1|PP=2|TP=0|ip-26-0-169-239]: No checkpoint path provided. [default5]:07/02/2024 16:30:35 [INFO|DP=1|PP=6|TP=0|ip-26-0-169-247]: No checkpoint path provided. [default1]:07/02/2024 16:30:35 [INFO|DP=1|PP=4|TP=0|ip-26-0-169-247]: No checkpoint path provided. [default3]:07/02/2024 16:30:35 [INFO|DP=1|PP=5|TP=0|ip-26-0-169-247]: No checkpoint path provided. [default7]:07/02/2024 16:30:35 [INFO|DP=1|PP=7|TP=0|ip-26-0-169-247]: No checkpoint path provided. [default0]:07/02/2024 16:30:38 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: [Optimizer Building] Using LearningRateForSP as learning rate [default0]:07/02/2024 16:30:38 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: [ZeRO sharding] Size of optimizer params per rank: [default0]:07/02/2024 16:30:38 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: [ZeRO sharding] DP Rank 0 has 135M out of 271M (50.00%) params' optimizer states [default0]:07/02/2024 16:30:38 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: [ZeRO sharding] DP Rank 1 has 135M out of 271M (50.00%) params' optimizer states [default0]:07/02/2024 16:30:39 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: [Training Plan] Stage Training Stage has 19 remaining training steps and has consumed 0 samples [default0]:07/02/2024 16:30:39 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: Using `datasets` library [default0]:07/02/2024 16:30:39 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: 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 16:30:39 [WARNING|DP=0|PP=0|TP=0|ip-26-0-169-239]: Repo card metadata block was not found. Setting CardData to empty. [default0]:07/02/2024 16:30:40 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: [Training Plan] There are 1 training stages [default0]:07/02/2024 16:30:40 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: [Stage Training Stage] start from step 1 [default0]:07/02/2024 16:30:40 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: [default0]:07/02/2024 16:30:40 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: [Start training] datetime: 2024-07-02 16:30:40.012526 | mbs: 2 | grad_accum: 256 | global_batch_size: 1024 | sequence_length: 4096 | train_steps: 20 | start_iteration_step: 0 | consumed_train_samples: 0 [default0]:07/02/2024 16:30:40 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: Resuming training from stage Training Stage, it has trained for 0 samples and has 19 remaining train steps [default0]:07/02/2024 16:30:40 [INFO|DP=0|PP=0|TP=0|ip-26-0-169-239]: Memory usage: 2069.40MiB. Peak allocated 2069.40MiB. Peak reserved: 2086.00MiB [default4]:Repo card metadata block was not found. Setting CardData to empty. [default6]:07/02/2024 16:30:40 [WARNING|DP=0|PP=3|TP=0|ip-26-0-169-239]: Repo card metadata block was not found. Setting CardData to empty. [default2]:07/02/2024 16:30:40 [WARNING|DP=0|PP=1|TP=0|ip-26-0-169-239]: Repo card metadata block was not found. Setting CardData to empty. [default1]:Repo card metadata block was not found. Setting CardData to empty. [default3]:07/02/2024 16:30:40 [WARNING|DP=1|PP=1|TP=0|ip-26-0-169-239]: Repo card metadata block was not found. Setting CardData to empty. [default7]:07/02/2024 16:30:40 [WARNING|DP=1|PP=3|TP=0|ip-26-0-169-239]: Repo card metadata block was not found. Setting CardData to empty. [default4]:07/02/2024 16:30:40 [WARNING|DP=0|PP=2|TP=0|ip-26-0-169-239]: Repo card metadata block was not found. Setting CardData to empty. [default1]:07/02/2024 16:30:40 [WARNING|DP=1|PP=0|TP=0|ip-26-0-169-239]: Repo card metadata block was not found. Setting CardData to empty. [default0]:07/02/2024 16:30:40 [WARNING|DP=0|PP=4|TP=0|ip-26-0-169-247]: Repo card metadata block was not found. Setting CardData to empty. [default4]:07/02/2024 16:30:40 [WARNING|DP=0|PP=6|TP=0|ip-26-0-169-247]: Repo card metadata block was not found. Setting CardData to empty. [default0]:Repo card metadata block was not found. Setting CardData to empty. [default7]: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 16:30:40 [WARNING|DP=0|PP=7|TP=0|ip-26-0-169-247]: Repo card metadata block was not found. Setting CardData to empty. [default5]:Repo card metadata block was not found. Setting CardData to empty. [default6]:Repo card metadata block was not found. Setting CardData to empty. [default7]:Repo card metadata block was not found. Setting CardData to empty. [default1]:07/02/2024 16:30:40 [WARNING|DP=1|PP=4|TP=0|ip-26-0-169-247]: Repo card metadata block was not found. Setting CardData to empty. [default2]:Repo card metadata block was not found. Setting CardData to empty. [default3]:Repo card metadata block was not found. Setting CardData to empty. [default5]:07/02/2024 16:30:40 [WARNING|DP=1|PP=6|TP=0|ip-26-0-169-247]: Repo card metadata block was not found. Setting CardData to empty. [default4]:Repo card metadata block was not found. Setting CardData to empty. [default6]:Repo card metadata block was not found. Setting CardData to empty. [default3]:Repo card metadata block was not found. Setting CardData to empty. [default7]:07/02/2024 16:30:40 [WARNING|DP=1|PP=7|TP=0|ip-26-0-169-247]: Repo card metadata block was not found. Setting CardData to empty. [default3]:07/02/2024 16:30:40 [WARNING|DP=1|PP=5|TP=0|ip-26-0-169-247]: Repo card metadata block was not found. Setting CardData to empty. [default2]:07/02/2024 16:30:40 [WARNING|DP=0|PP=5|TP=0|ip-26-0-169-247]: Repo card metadata block was not found. Setting CardData to empty. [default1]:Repo card metadata block was not found. Setting CardData to empty. [default5]:07/02/2024 16:30:40 [WARNING|DP=1|PP=2|TP=0|ip-26-0-169-239]: Repo card metadata block was not found. Setting CardData to empty. [default5]:Repo card metadata block was not found. Setting CardData to empty. [default1]:[rank1]: OSError: [Errno 122] Disk quota exceeded [default1]: [default1]:[rank1]: During handling of the above exception, another exception occurred: [default1]: [default1]:[rank1]: Traceback (most recent call last): [default1]:[rank1]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default1]:[rank1]: trainer.train(dataloader) [default1]:[rank1]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default1]:[rank1]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default1]:[rank1]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default1]:[rank1]: outputs = self.pipeline_engine.train_batch_iter( [default1]:[rank1]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default1]:[rank1]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default1]:[rank1]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default1]:[rank1]: output = model(**micro_batch) [default1]:[rank1]: 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]:[rank1]: return self._call_impl(*args, **kwargs) [default1]:[rank1]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default1]:[rank1]: return forward_call(*args, **kwargs) [default1]:[rank1]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default1]:[rank1]: sharded_logits = self.model( [default1]:[rank1]: 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]:[rank1]: return self._call_impl(*args, **kwargs) [default1]:[rank1]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default1]:[rank1]: return forward_call(*args, **kwargs) [default1]:[rank1]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default1]:[rank1]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default1]:[rank1]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default1]:[rank1]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default1]:[rank1]: 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]:[rank1]: return self._call_impl(*args, **kwargs) [default1]:[rank1]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default1]:[rank1]: return forward_call(*args, **kwargs) [default1]:[rank1]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 151, in forward [default1]:[rank1]: output = self.pp_block(**new_kwargs) [default1]:[rank1]: 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]:[rank1]: return self._call_impl(*args, **kwargs) [default1]:[rank1]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default1]:[rank1]: return forward_call(*args, **kwargs) [default1]:[rank1]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 629, in forward [default1]:[rank1]: hidden_states = self.input_layernorm(hidden_states) [default1]:[rank1]: 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]:[rank1]: return self._call_impl(*args, **kwargs) [default1]:[rank1]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default1]:[rank1]: return forward_call(*args, **kwargs) [default1]:[rank1]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/nn/layer_norm.py", line 42, in forward [default1]:[rank1]: return layer_norm_fn( [default1]:[rank1]: 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 [default1]:[rank1]: return LayerNormFn.apply( [default1]:[rank1]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/autograd/function.py", line 598, in apply [default1]:[rank1]: return super().apply(*args, **kwargs) # type: ignore[misc] [default1]:[rank1]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/flash_attn/ops/triton/layer_norm.py", line 748, in forward [default1]:[rank1]: y, y1, mean, rstd, residual_out, seeds, dropout_mask, dropout_mask1 = _layer_norm_fwd( [default1]:[rank1]: 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 [default1]:[rank1]: _layer_norm_fwd_1pass_kernel[(M,)]( [default1]:[rank1]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/jit.py", line 167, in [default1]:[rank1]: return lambda *args, **kwargs: self.run(grid=grid, warmup=False, *args, **kwargs) [default1]:[rank1]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/autotuner.py", line 143, in run [default1]:[rank1]: timings = {config: self._bench(*args, config=config, **kwargs) for config in pruned_configs} [default1]:[rank1]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/autotuner.py", line 143, in [default1]:[rank1]: timings = {config: self._bench(*args, config=config, **kwargs) for config in pruned_configs} [default1]:[rank1]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/autotuner.py", line 122, in _bench [default1]:[rank1]: return do_bench(kernel_call, warmup=self.warmup, rep=self.rep, quantiles=(0.5, 0.2, 0.8)) [default1]:[rank1]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/testing.py", line 102, in do_bench [default1]:[rank1]: fn() [default1]:[rank1]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/autotuner.py", line 110, in kernel_call [default1]:[rank1]: self.fn.run( [default1]:[rank1]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/autotuner.py", line 305, in run [default1]:[rank1]: return self.fn.run(*args, **kwargs) [default1]:[rank1]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/autotuner.py", line 305, in run [default1]:[rank1]: return self.fn.run(*args, **kwargs) [default1]:[rank1]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/autotuner.py", line 305, in run [default1]:[rank1]: return self.fn.run(*args, **kwargs) [default1]:[rank1]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/jit.py", line 416, in run [default1]:[rank1]: self.cache[device][key] = compile( [default1]:[rank1]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/compiler/compiler.py", line 194, in compile [default1]:[rank1]: metadata_group[f"{src.name}.{ext}"] = fn_cache_manager.put(next_module, f"{src.name}.{ext}") [default1]:[rank1]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/cache.py", line 123, in put [default1]:[rank1]: with open(temp_path, mode) as f: [default1]:[rank1]: OSError: [Errno 122] Disk quota exceeded [default4]:[rank4]: OSError: [Errno 122] Disk quota exceeded [default4]: [default4]:[rank4]: During handling of the above exception, another exception occurred: [default4]: [default4]:[rank4]: Traceback (most recent call last): [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default4]:[rank4]: trainer.train(dataloader) [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default4]:[rank4]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default4]:[rank4]: outputs = self.pipeline_engine.train_batch_iter( [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default4]:[rank4]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default4]:[rank4]: output = model(**micro_batch) [default4]:[rank4]: 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]:[rank4]: return self._call_impl(*args, **kwargs) [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default4]:[rank4]: return forward_call(*args, **kwargs) [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default4]:[rank4]: sharded_logits = self.model( [default4]:[rank4]: 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]:[rank4]: return self._call_impl(*args, **kwargs) [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default4]:[rank4]: return forward_call(*args, **kwargs) [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default4]:[rank4]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default4]:[rank4]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default4]:[rank4]: 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]:[rank4]: return self._call_impl(*args, **kwargs) [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default4]:[rank4]: return forward_call(*args, **kwargs) [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 151, in forward [default4]:[rank4]: output = self.pp_block(**new_kwargs) [default4]:[rank4]: 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]:[rank4]: return self._call_impl(*args, **kwargs) [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default4]:[rank4]: return forward_call(*args, **kwargs) [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 631, in forward [default4]:[rank4]: output = self.attn(hidden_states=hidden_states, sequence_mask=sequence_mask) [default4]:[rank4]: 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]:[rank4]: return self._call_impl(*args, **kwargs) [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default4]:[rank4]: return forward_call(*args, **kwargs) [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 566, in forward [default4]:[rank4]: query_states, key_value_states = self.flash_rotary_embedding(query_states, kv=key_value_states) [default4]:[rank4]: 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]:[rank4]: return self._call_impl(*args, **kwargs) [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default4]:[rank4]: return forward_call(*args, **kwargs) [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/flash_attn/layers/rotary.py", line 457, in forward [default4]:[rank4]: q = apply_rotary_emb_func( [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/flash_attn/layers/rotary.py", line 122, in apply_rotary_emb [default4]:[rank4]: return ApplyRotaryEmb.apply( [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/autograd/function.py", line 598, in apply [default4]:[rank4]: return super().apply(*args, **kwargs) # type: ignore[misc] [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/flash_attn/layers/rotary.py", line 48, in forward [default4]:[rank4]: out = apply_rotary( [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/flash_attn/ops/triton/rotary.py", line 202, in apply_rotary [default4]:[rank4]: rotary_kernel[grid]( [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/jit.py", line 167, in [default4]:[rank4]: return lambda *args, **kwargs: self.run(grid=grid, warmup=False, *args, **kwargs) [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/jit.py", line 416, in run [default4]:[rank4]: self.cache[device][key] = compile( [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/compiler/compiler.py", line 194, in compile [default4]:[rank4]: metadata_group[f"{src.name}.{ext}"] = fn_cache_manager.put(next_module, f"{src.name}.{ext}") [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/cache.py", line 123, in put [default4]:[rank4]: with open(temp_path, mode) as f: [default4]:[rank4]: OSError: [Errno 122] Disk quota exceeded W0702 16:30:49.421000 139726838032192 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 2403358 closing signal SIGTERM W0702 16:30:49.426000 139726838032192 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 2403360 closing signal SIGTERM W0702 16:30:49.429000 139726838032192 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 2403361 closing signal SIGTERM W0702 16:30:49.429000 139726838032192 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 2403363 closing signal SIGTERM W0702 16:30:49.430000 139726838032192 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 2403364 closing signal SIGTERM W0702 16:30:49.431000 139726838032192 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 2403365 closing signal SIGTERM [default7]:[rank15]: Traceback (most recent call last): [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [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 782, in forward_with_hidden_states [default7]:[rank15]: hidden_states = self.final_layer_norm(input=hidden_encoder_states["hidden_states"])["hidden_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 [default0]:[rank8]: Traceback (most recent call last): [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [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) [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] [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 [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 [default0]:[rank8]: return self._call_impl(*args, **kwargs) [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 [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 [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 [default0]:[rank8]: return forward_call(*args, **kwargs) [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() [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default7]:[rank15]: torch.distributed.DistBackendError: [7] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '6:7', but store->get('6:7') 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 (0x7f0d58005897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default7]:[rank15]: frame #1: + 0x5b3a23e (0x7f0d91b2223e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: sharded_logits = self.model( [default7]:[rank15]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7f0d91b1cc87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [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) [default7]:[rank15]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f0d91b1cf82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [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) [default7]:[rank15]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f0d91b1dfd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [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 [default7]:[rank15]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f0d91ad2371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [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 [default7]:[rank15]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f0d91ad2371 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 (0x7f0d91ad2371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: pipeline_state.run_communication() [default7]:[rank15]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f0d91ad2371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default7]:[rank15]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f0d592df189 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 (0x7f0d592e6610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [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) [default7]:[rank15]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7f0d59305978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [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) [default7]:[rank15]: frame #12: + 0x5adc309 (0x7f0d91ac4309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default7]:[rank15]: frame #13: + 0x5ae6f10 (0x7f0d91acef10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [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 [default7]:[rank15]: frame #14: + 0x5ae6fa5 (0x7f0d91acefa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: return func(*args, **kwargs) [default7]:[rank15]: frame #15: + 0x5124446 (0x7f0d9110c446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [default7]:[rank15]: frame #16: + 0x1acf4b8 (0x7f0d8dab74b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: pg.recv([tensor], group_src_rank, tag).wait() [default0]:[rank8]: torch.distributed.DistBackendError: [4] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '3:4', but store->get('3:4') got error: Connection reset by peer [default7]:[rank15]: frame #17: + 0x5aee004 (0x7f0d91ad6004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: frame #18: + 0x5af36b5 (0x7f0d91adb6b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [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 (0x7f85ffdf7897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default7]:[rank15]: frame #19: + 0xd2631e (0x7f0da46c531e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default0]:[rank8]: frame #1: + 0x5b3a23e (0x7f863991423e 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::chrono::duration >) + 0x2c7 (0x7f863990ec87 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 (0x7f863990ef82 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 (0x7f863990ffd1 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 (0x7f86398c4371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: frame #20: + 0x47def4 (0x7f0da3e1cef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default0]:[rank8]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f86398c4371 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 (0x7f86398c4371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: frame #21: + 0x1445a6 (0x563272b565a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #22: _PyObject_MakeTpCall + 0x26b (0x563272b4fa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #23: + 0x150866 (0x563272b62866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f86398c4371 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 (0x7f86010d1189 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 (0x7f86010d8610 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 >&, int, int) + 0x5f8 (0x7f86010f7978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default0]:[rank8]: frame #12: + 0x5adc309 (0x7f86398b6309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x563272b4b142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #13: + 0x5ae6f10 (0x7f86398c0f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: frame #25: _PyFunction_Vectorcall + 0x6c (0x563272b56a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #26: PyObject_Call + 0xbc (0x563272b62f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #14: + 0x5ae6fa5 (0x7f86398c0fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x563272b492b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #15: + 0x5124446 (0x7f8638efe446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #16: + 0x1acf4b8 (0x7f86358a94b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #17: + 0x5aee004 (0x7f86398c8004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #18: + 0x5af36b5 (0x7f86398cd6b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #19: + 0xd2631e (0x7f864c4b731e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default0]:[rank8]: frame #20: + 0x47def4 (0x7f864bc0eef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default0]:[rank8]: frame #21: + 0x1445a6 (0x5587620b35a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #22: _PyObject_MakeTpCall + 0x26b (0x5587620aca6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #23: + 0x150866 (0x5587620bf866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #28: _PyFunction_Vectorcall + 0x6c (0x563272b56a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x563272b478fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #30: + 0x150582 (0x563272b62582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x5587620a8142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x563272b478fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #32: + 0x150582 (0x563272b62582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x563272b478fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #34: + 0x150582 (0x563272b62582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #25: _PyFunction_Vectorcall + 0x6c (0x5587620b3a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: Traceback (most recent call last): [default7]:[rank15]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x563272b478fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x563272b4ef50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: Traceback (most recent call last): [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default7]:[rank15]: frame #37: _PyObject_Call_Prepend + 0x69 (0x563272b60c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #26: PyObject_Call + 0xbc (0x5587620bff1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default5]:[rank13]: trainer.train(dataloader) [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default7]:[rank15]: frame #38: + 0x211239 (0x563272c23239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x5587620a62b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: trainer.train(dataloader) [default7]:[rank15]: frame #39: _PyObject_MakeTpCall + 0x26b (0x563272b4fa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x563272b4b3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #28: _PyFunction_Vectorcall + 0x6c (0x5587620b3a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default7]:[rank15]: frame #41: _PyFunction_Vectorcall + 0x6c (0x563272b56a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x5587620a48fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default7]:[rank15]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x563272b46c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default7]:[rank15]: frame #43: _PyFunction_Vectorcall + 0x6c (0x563272b56a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x563272b478fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default0]:[rank8]: frame #30: + 0x150582 (0x5587620bf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: outputs = self.pipeline_engine.train_batch_iter( [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default0]:[rank8]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x5587620a48fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #32: + 0x150582 (0x5587620bf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default0]:[rank8]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x5587620a48fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #34: + 0x150582 (0x5587620bf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: outputs = self.pipeline_engine.train_batch_iter( [default5]:[rank13]: 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 252, in train_batch_iter [default7]:[rank15]: frame #45: + 0x150582 (0x563272b62582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [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) [default7]:[rank15]: frame #46: PyObject_Call + 0xbc (0x563272b62f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: 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 [default7]:[rank15]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x563272b492b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: Traceback (most recent call last): [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 [default7]:[rank15]: frame #48: + 0x150582 (0x563272b62582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default0]:[rank8]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x5587620a48fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: return self._call_impl(*args, **kwargs) [default7]:[rank15]: frame #49: PyObject_Call + 0xbc (0x563272b62f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: 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) [default7]:[rank15]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x563272b492b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: trainer.train(dataloader) [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 [default7]:[rank15]: frame #51: _PyFunction_Vectorcall + 0x6c (0x563272b56a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x5587620abf50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #37: _PyObject_Call_Prepend + 0x69 (0x5587620bdc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: return forward_call(*args, **kwargs) [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 [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default0]:[rank8]: frame #38: + 0x211239 (0x558762180239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x563272b4f007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #39: _PyObject_MakeTpCall + 0x26b (0x5587620aca6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: sharded_logits = self.model( [default2]:[rank10]: sharded_logits = self.model( [default4]:[rank12]: outputs = self.pipeline_engine.train_batch_iter( [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 [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 [default7]:[rank15]: frame #53: _PyObject_Call_Prepend + 0x69 (0x563272b60c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default4]:[rank12]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default0]:[rank8]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x5587620a83e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: return self._call_impl(*args, **kwargs) [default7]:[rank15]: frame #54: + 0x211239 (0x563272c23239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #55: _PyObject_MakeTpCall + 0x26b (0x563272b4fa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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 [default2]:[rank10]: return self._call_impl(*args, **kwargs) [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default7]:[rank15]: frame #56: _PyEval_EvalFrameDefault + 0x5723 (0x563272b4bc53 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #41: _PyFunction_Vectorcall + 0x6c (0x5587620b3a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: output = model(**micro_batch) [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 [default0]:[rank8]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x5587620a3c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #57: + 0x150582 (0x563272b62582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x563272b478fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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 [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 [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 [default7]:[rank15]: frame #59: + 0x150582 (0x563272b62582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #43: _PyFunction_Vectorcall + 0x6c (0x5587620b3a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: return self._call_impl(*args, **kwargs) [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 [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 [default2]:[rank10]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default0]:[rank8]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x5587620a48fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: return forward_call(*args, **kwargs) [default7]:[rank15]: frame #60: PyObject_Call + 0xbc (0x563272b62f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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 [default0]:[rank8]: frame #45: + 0x150582 (0x5587620bf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x563272b492b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #62: + 0x150582 (0x563272b62582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: return self._call_impl(*args, **kwargs) [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default7]:[rank15]: frame #63: PyObject_Call + 0xbc (0x563272b62f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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 [default0]:[rank8]: frame #46: PyObject_Call + 0xbc (0x5587620bff1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x5587620a62b3 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. [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 [default0]:[rank8]: frame #48: + 0x150582 (0x5587620bf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default4]:[rank12]: return forward_call(*args, **kwargs) [default0]:[rank8]: frame #49: PyObject_Call + 0xbc (0x5587620bff1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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 [default5]:[rank13]: return forward_call(*args, **kwargs) [default0]:[rank8]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x5587620a62b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: return self._call_impl(*args, **kwargs) [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [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] [default0]:[rank8]: frame #51: _PyFunction_Vectorcall + 0x6c (0x5587620b3a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x5587620ac007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: new_kwargs[name] = recv_from_pipeline_state_buffer( [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 [default0]:[rank8]: frame #53: _PyObject_Call_Prepend + 0x69 (0x5587620bdc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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 [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 [default0]:[rank8]: frame #54: + 0x211239 (0x558762180239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: pipeline_state.run_communication() [default0]:[rank8]: frame #55: PyObject_Call + 0x207 (0x5587620c0067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default2]:[rank10]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default4]:[rank12]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [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 [default0]:[rank8]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x5587620a62b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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 [default2]:[rank10]: pipeline_state.run_communication() [default0]:[rank8]: frame #57: + 0x150582 (0x5587620bf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: return self._call_impl(*args, **kwargs) [default2]:[rank10]: 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__ [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 [default5]:[rank13]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default2]:[rank10]: recv_activation_tensor = recv_activation() [default4]:[rank12]: return forward_call(*args, **kwargs) [default0]:[rank8]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x5587620a48fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default2]:[rank10]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [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 [default0]:[rank8]: frame #59: + 0x150582 (0x5587620bf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: 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) [default0]:[rank8]: frame #60: PyObject_Call + 0xbc (0x5587620bff1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: pipeline_state.run_communication() [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default0]:[rank8]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x5587620a62b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default5]:[rank13]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default2]:[rank10]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default4]:[rank12]: recv_activation_tensor = recv_activation() [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default0]:[rank8]: frame #62: + 0x150582 (0x5587620bf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default5]:[rank13]: dist.recv( [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default5]:[rank13]: 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 self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default2]:[rank10]: dist.recv( [default0]:[rank8]: frame #63: PyObject_Call + 0xbc (0x5587620bff1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: return func(*args, **kwargs) [default2]:[rank10]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default5]:[rank13]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [default2]:[rank10]: return func(*args, **kwargs) [default4]:[rank12]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default0]:[rank8]: . This may indicate a possible application crash on rank 0 or a network set up issue. [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default5]:[rank13]: pg.recv([tensor], group_src_rank, tag).wait() [default2]:[rank10]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [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 [default2]:[rank10]: pg.recv([tensor], group_src_rank, tag).wait() [default5]:[rank13]: torch.distributed.DistBackendError: [6] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '5:6', but store->get('5:6') got error: Connection reset by peer [default2]:[rank10]: torch.distributed.DistBackendError: [5] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '4:5', but store->get('4:5') 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 (0x7f92574dd897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default4]:[rank12]: dist.recv( [default5]:[rank13]: frame #1: + 0x5b3a23e (0x7f9290ffa23e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default5]:[rank13]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7f9290ff4c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default4]:[rank12]: return func(*args, **kwargs) [default2]:[rank10]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f3c3efbe897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default2]:[rank10]: frame #1: + 0x5b3a23e (0x7f3c78adb23e 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 (0x7f9290ff4f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [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() [default2]:[rank10]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7f3c78ad5c87 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 (0x7f9290ff5fd1 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 (0x7f3c78ad5f82 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 (0x7f9290faa371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: torch.distributed.DistBackendError: [6] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '5:6', but store->get('5:6') got error: Connection reset by peer [default2]:[rank10]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f3c78ad6fd1 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 (0x7f9290faa371 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 (0x7f3c78a8b371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default2]:[rank10]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f3c78a8b371 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 (0x7f9290faa371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f2ea634e897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default5]:[rank13]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f9290faa371 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 (0x7f3c78a8b371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: frame #1: + 0x5b3a23e (0x7f2edfe6b23e 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 (0x7f92587b7189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default2]:[rank10]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f3c78a8b371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f92587be610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default4]:[rank12]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7f2edfe65c87 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 (0x7f3c40298189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default4]:[rank12]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f2edfe65f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7f92587dd978 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 (0x7f3c4029f610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default4]:[rank12]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f2edfe66fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7f3c402be978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default4]:[rank12]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f2edfe1b371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #12: + 0x5adc309 (0x7f9290f9c309 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 (0x7f2edfe1b371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #12: + 0x5adc309 (0x7f3c78a7d309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #13: + 0x5ae6f10 (0x7f9290fa6f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #13: + 0x5ae6f10 (0x7f3c78a87f10 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 (0x7f2edfe1b371 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 (0x7f2edfe1b371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #14: + 0x5ae6fa5 (0x7f9290fa6fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #14: + 0x5ae6fa5 (0x7f3c78a87fa5 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 (0x7f2ea7628189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default5]:[rank13]: frame #15: + 0x5124446 (0x7f92905e4446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f2ea762f610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default2]:[rank10]: frame #15: + 0x5124446 (0x7f3c780c5446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #16: + 0x1acf4b8 (0x7f928cf8f4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #16: + 0x1acf4b8 (0x7f3c74a704b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #17: + 0x5aee004 (0x7f3c78a8f004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #17: + 0x5aee004 (0x7f9290fae004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #18: + 0x5af36b5 (0x7f9290fb36b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7f2ea764e978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default2]:[rank10]: frame #18: + 0x5af36b5 (0x7f3c78a946b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #19: + 0xd2631e (0x7f92a3b9d31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default2]:[rank10]: frame #19: + 0xd2631e (0x7f3c8b67e31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default4]:[rank12]: frame #12: + 0x5adc309 (0x7f2edfe0d309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #20: + 0x47def4 (0x7f3c8add5ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default4]:[rank12]: frame #13: + 0x5ae6f10 (0x7f2edfe17f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #20: + 0x47def4 (0x7f92a32f4ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default5]:[rank13]: frame #21: + 0x1445a6 (0x55e6e50fa5a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55e6e50f3a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #23: + 0x150866 (0x55e6e5106866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #21: + 0x1445a6 (0x55e0ed25d5a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #14: + 0x5ae6fa5 (0x7f2edfe17fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55e6e50ef142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55e6e50faa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55e0ed256a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #26: PyObject_Call + 0xbc (0x55e6e5106f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #15: + 0x5124446 (0x7f2edf455446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55e6e50ed2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #23: + 0x150866 (0x55e0ed269866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #16: + 0x1acf4b8 (0x7f2edbe004b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55e6e50faa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55e0ed252142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #17: + 0x5aee004 (0x7f2edfe1f004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55e6e50eb8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55e0ed25da2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #30: + 0x150582 (0x55e6e5106582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #26: PyObject_Call + 0xbc (0x55e0ed269f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #18: + 0x5af36b5 (0x7f2edfe246b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: frame #19: + 0xd2631e (0x7f2ef2a0e31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default2]:[rank10]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55e0ed2502b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55e0ed25da2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #20: + 0x47def4 (0x7f2ef2165ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default2]:[rank10]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55e0ed24e8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #21: + 0x1445a6 (0x55951e3da5a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55e6e50eb8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55951e3d3a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #32: + 0x150582 (0x55e6e5106582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #23: + 0x150866 (0x55951e3e6866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55e6e50eb8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55951e3cf142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #34: + 0x150582 (0x55e6e5106582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #30: + 0x150582 (0x55e0ed269582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55951e3daa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55e6e50eb8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55e0ed24e8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #26: PyObject_Call + 0xbc (0x55951e3e6f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55e6e50f2f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55951e3cd2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #32: + 0x150582 (0x55e0ed269582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55951e3daa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55e6e5104c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55e0ed24e8fa in 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[default4]:[rank12]: frame #45: + 0x150582 (0x55951e3e6582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55e0ed25da2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55e6e50f3007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55e6e5104c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #54: + 0x211239 (0x55e6e51c7239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #46: PyObject_Call + 0xbc (0x55951e3e6f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55e0ed256007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #55: PyObject_Call + 0x207 (0x55e6e5107067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55e0ed267c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55e6e50ed2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #57: + 0x150582 (0x55e6e5106582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55951e3cd2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #48: + 0x150582 (0x55951e3e6582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #54: + 0x211239 (0x55e0ed32a239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55e6e50eb8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #59: + 0x150582 (0x55e6e5106582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #55: PyObject_Call + 0x207 (0x55e0ed26a067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #49: PyObject_Call + 0xbc (0x55951e3e6f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #60: PyObject_Call + 0xbc (0x55e6e5106f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55e0ed2502b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55951e3cd2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55e6e50ed2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55951e3daa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #57: + 0x150582 (0x55e0ed269582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #62: + 0x150582 (0x55e6e5106582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #63: PyObject_Call + 0xbc (0x55e6e5106f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55951e3d3007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55e0ed24e8fa 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. [default4]:[rank12]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55951e3e4c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #59: + 0x150582 (0x55e0ed269582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #54: + 0x211239 (0x55951e4a7239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #60: PyObject_Call + 0xbc (0x55e0ed269f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #55: PyObject_Call + 0x207 (0x55951e3e7067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55951e3cd2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #57: + 0x150582 (0x55951e3e6582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55e0ed2502b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #62: + 0x150582 (0x55e0ed269582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #63: PyObject_Call + 0xbc (0x55e0ed269f1c 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. [default4]:[rank12]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55951e3cb8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #59: + 0x150582 (0x55951e3e6582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #60: PyObject_Call + 0xbc (0x55951e3e6f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55951e3cd2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #62: + 0x150582 (0x55951e3e6582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #63: PyObject_Call + 0xbc (0x55951e3e6f1c 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. [default6]:[rank14]: Traceback (most recent call last): [default6]:[rank14]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [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 [default3]:[rank11]: Traceback (most recent call last): [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [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 [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) [default6]:[rank14]: 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 [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) [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( [default6]:[rank14]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [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 [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 782, in forward_with_hidden_states [default6]:[rank14]: hidden_states = self.final_layer_norm(input=hidden_encoder_states["hidden_states"])["hidden_states"] [default3]:[rank11]: 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 1532, in _wrapped_call_impl [default6]:[rank14]: 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 [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() [default3]:[rank11]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [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() [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) [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] [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 [default6]:[rank14]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [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( [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 [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 [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 [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 [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) [default3]:[rank11]: recv_activation_tensor = recv_activation() [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: [7] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '6:7', but store->get('6:7') 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 (0x7fae51635897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default6]:[rank14]: frame #1: + 0x5b3a23e (0x7fae8b15223e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [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] [default6]:[rank14]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7fae8b14cc87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default6]:[rank14]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7fae8b14cf82 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 (0x7fae8b14dfd1 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 (0x7fae8b102371 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 (0x7fae8b102371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [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 [default6]:[rank14]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fae8b102371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [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) [default6]:[rank14]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fae8b102371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [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() [default6]:[rank14]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7fae5290f189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default3]:[rank11]: torch.distributed.DistBackendError: [5] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '4:5', but store->get('4:5') 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 (0x7f01a6517897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default3]:[rank11]: frame #1: + 0x5b3a23e (0x7f01e003423e 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::chrono::duration >) + 0x2c7 (0x7f01e002ec87 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 (0x7f01e002ef82 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 (0x7f01e002ffd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7fae52916610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default3]:[rank11]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f01dffe4371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7fae52935978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default6]:[rank14]: frame #12: + 0x5adc309 (0x7fae8b0f4309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #13: + 0x5ae6f10 (0x7fae8b0fef10 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 (0x7f01dffe4371 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 (0x7f01dffe4371 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 (0x7f01dffe4371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #14: + 0x5ae6fa5 (0x7fae8b0fefa5 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 (0x7f01a77f1189 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 (0x7f01a77f8610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default6]:[rank14]: frame #15: + 0x5124446 (0x7fae8a73c446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #16: + 0x1acf4b8 (0x7fae870e74b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #17: + 0x5aee004 (0x7fae8b106004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #18: + 0x5af36b5 (0x7fae8b10b6b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #19: + 0xd2631e (0x7fae9dcf531e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default6]:[rank14]: frame #20: + 0x47def4 (0x7fae9d44cef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default3]:[rank11]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7f01a7817978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default6]:[rank14]: frame #21: + 0x1445a6 (0x55582e41f5a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55582e418a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #12: + 0x5adc309 (0x7f01dffd6309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: frame #13: + 0x5ae6f10 (0x7f01dffe0f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #23: + 0x150866 (0x55582e42b866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55582e414142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55582e41fa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #14: + 0x5ae6fa5 (0x7f01dffe0fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #26: PyObject_Call + 0xbc (0x55582e42bf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55582e4122b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55582e41fa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55582e4108fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #30: + 0x150582 (0x55582e42b582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #15: + 0x5124446 (0x7f01df61e446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: frame #16: + 0x1acf4b8 (0x7f01dbfc94b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55582e4108fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #17: + 0x5aee004 (0x7f01dffe8004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: frame #18: + 0x5af36b5 (0x7f01dffed6b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #32: + 0x150582 (0x55582e42b582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55582e4108fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #19: + 0xd2631e (0x7f01f2bd731e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default6]:[rank14]: frame #34: + 0x150582 (0x55582e42b582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #20: + 0x47def4 (0x7f01f232eef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default3]:[rank11]: frame #21: + 0x1445a6 (0x5632d96a25a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #22: _PyObject_MakeTpCall + 0x26b (0x5632d969ba6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #23: + 0x150866 (0x5632d96ae866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x5632d9697142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #25: _PyFunction_Vectorcall + 0x6c (0x5632d96a2a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #26: PyObject_Call + 0xbc (0x5632d96aef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x5632d96952b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #28: _PyFunction_Vectorcall + 0x6c (0x5632d96a2a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x5632d96938fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #30: + 0x150582 (0x5632d96ae582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x5632d96938fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #32: + 0x150582 (0x5632d96ae582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x5632d96938fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #34: + 0x150582 (0x5632d96ae582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x5632d96938fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55582e4108fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x5632d969af50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55582e417f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55582e429c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #38: + 0x211239 (0x55582e4ec239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55582e418a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #37: _PyObject_Call_Prepend + 0x69 (0x5632d96acc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #38: + 0x211239 (0x5632d976f239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #39: _PyObject_MakeTpCall + 0x26b (0x5632d969ba6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55582e4143e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55582e41fa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55582e40fc5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55582e41fa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x5632d96973e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #41: _PyFunction_Vectorcall + 0x6c (0x5632d96a2a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x5632d9692c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55582e4108fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #45: + 0x150582 (0x55582e42b582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #46: PyObject_Call + 0xbc (0x55582e42bf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55582e4122b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #48: + 0x150582 (0x55582e42b582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #49: PyObject_Call + 0xbc (0x55582e42bf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55582e4122b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55582e41fa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55582e418007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55582e429c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #54: + 0x211239 (0x55582e4ec239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #55: _PyObject_MakeTpCall + 0x26b (0x55582e418a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #56: _PyEval_EvalFrameDefault + 0x5723 (0x55582e414c53 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #43: _PyFunction_Vectorcall + 0x6c (0x5632d96a2a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #57: + 0x150582 (0x55582e42b582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x5632d96938fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #45: + 0x150582 (0x5632d96ae582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #46: PyObject_Call + 0xbc (0x5632d96aef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x5632d96952b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #48: + 0x150582 (0x5632d96ae582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #49: PyObject_Call + 0xbc (0x5632d96aef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55582e4108fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #59: + 0x150582 (0x55582e42b582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x5632d96952b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #60: PyObject_Call + 0xbc (0x55582e42bf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55582e4122b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #51: _PyFunction_Vectorcall + 0x6c (0x5632d96a2a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x5632d969b007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #62: + 0x150582 (0x55582e42b582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #63: PyObject_Call + 0xbc (0x55582e42bf1c 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. [default3]:[rank11]: frame #53: _PyObject_Call_Prepend + 0x69 (0x5632d96acc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #54: + 0x211239 (0x5632d976f239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #55: PyObject_Call + 0x207 (0x5632d96af067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x5632d96952b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #57: + 0x150582 (0x5632d96ae582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x5632d96938fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #59: + 0x150582 (0x5632d96ae582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #60: PyObject_Call + 0xbc (0x5632d96aef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x5632d96952b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #62: + 0x150582 (0x5632d96ae582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #63: PyObject_Call + 0xbc (0x5632d96aef1c 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. [default1]:[rank9]: Traceback (most recent call last): [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [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: [4] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '3:4', but store->get('3:4') 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 (0x7f9eedb18897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default1]:[rank9]: frame #1: + 0x5b3a23e (0x7f9f2763523e 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::chrono::duration >) + 0x2c7 (0x7f9f2762fc87 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 (0x7f9f2762ff82 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 (0x7f9f27630fd1 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 (0x7f9f275e5371 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 (0x7f9f275e5371 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 (0x7f9f275e5371 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 (0x7f9f275e5371 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 (0x7f9eeedf2189 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 (0x7f9eeedf9610 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 >&, int, int) + 0x5f8 (0x7f9eeee18978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default1]:[rank9]: frame #12: + 0x5adc309 (0x7f9f275d7309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #13: + 0x5ae6f10 (0x7f9f275e1f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #14: + 0x5ae6fa5 (0x7f9f275e1fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #15: + 0x5124446 (0x7f9f26c1f446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #16: + 0x1acf4b8 (0x7f9f235ca4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #17: + 0x5aee004 (0x7f9f275e9004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #18: + 0x5af36b5 (0x7f9f275ee6b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #19: + 0xd2631e (0x7f9f3a1d831e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default1]:[rank9]: frame #20: + 0x47def4 (0x7f9f3992fef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default1]:[rank9]: frame #21: + 0x1445a6 (0x5569012005a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #22: _PyObject_MakeTpCall + 0x26b (0x5569011f9a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #23: + 0x150866 (0x55690120c866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x5569011f5142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #25: _PyFunction_Vectorcall + 0x6c (0x556901200a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #26: PyObject_Call + 0xbc (0x55690120cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x5569011f32b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #28: _PyFunction_Vectorcall + 0x6c (0x556901200a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x5569011f18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #30: + 0x150582 (0x55690120c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x5569011f18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #32: + 0x150582 (0x55690120c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x5569011f18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #34: + 0x150582 (0x55690120c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x5569011f18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x5569011f8f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55690120ac39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #38: + 0x211239 (0x5569012cd239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #39: _PyObject_MakeTpCall + 0x26b (0x5569011f9a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x5569011f53e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #41: _PyFunction_Vectorcall + 0x6c (0x556901200a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x5569011f0c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #43: _PyFunction_Vectorcall + 0x6c (0x556901200a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x5569011f18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #45: + 0x150582 (0x55690120c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #46: PyObject_Call + 0xbc (0x55690120cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x5569011f32b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #48: + 0x150582 (0x55690120c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #49: PyObject_Call + 0xbc (0x55690120cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x5569011f32b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #51: _PyFunction_Vectorcall + 0x6c (0x556901200a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x5569011f9007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55690120ac39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #54: + 0x211239 (0x5569012cd239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #55: PyObject_Call + 0x207 (0x55690120d067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x5569011f32b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #57: + 0x150582 (0x55690120c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x5569011f18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #59: + 0x150582 (0x55690120c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #60: PyObject_Call + 0xbc (0x55690120cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x5569011f32b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #62: + 0x150582 (0x55690120c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #63: PyObject_Call + 0xbc (0x55690120cf1c 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. E0702 16:30:51.643000 139726838032192 torch/distributed/elastic/multiprocessing/api.py:826] failed (exitcode: 1) local_rank: 1 (pid: 2403359) 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 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: [1]: time : 2024-07-02_16:30:49 host : ip-26-0-169-239.ec2.internal rank : 4 (local_rank: 4) exitcode : 1 (pid: 2403362) error_file: traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html ------------------------------------------------------------ Root Cause (first observed failure): [0]: time : 2024-07-02_16:30:49 host : ip-26-0-169-239.ec2.internal rank : 1 (local_rank: 1) exitcode : 1 (pid: 2403359) error_file: traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html ============================================================ srun: error: ip-26-0-169-239: task 0: Exited with exit code 1 W0702 16:30:53.437000 140607703279360 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1252] The node 'ip-26-0-169-247.ec2.internal_75241_0' has failed to send a keep-alive heartbeat to the rendezvous 'none' due to an error of type RendezvousConnectionError. W0702 16:30:54.437000 140613370099520 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 75399 closing signal SIGTERM W0702 16:30:54.437000 140613370099520 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 75400 closing signal SIGTERM W0702 16:30:54.437000 140613370099520 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 75401 closing signal SIGTERM W0702 16:30:54.438000 140613370099520 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 75402 closing signal SIGTERM W0702 16:30:54.438000 140613370099520 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 75403 closing signal SIGTERM W0702 16:30:54.438000 140613370099520 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 75404 closing signal SIGTERM W0702 16:30:54.438000 140613370099520 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 75405 closing signal SIGTERM W0702 16:30:54.439000 140613370099520 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 75406 closing signal SIGTERM W0702 16:30:55.458000 140613370099520 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1203] The node 'ip-26-0-169-247.ec2.internal_75241_0' has failed to shutdown the rendezvous 'none' due to an error of type RendezvousConnectionError. W0702 16:30:55.466000 140613370099520 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1203] The node 'ip-26-0-169-247.ec2.internal_75241_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/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 113, in _call_store return getattr(self._store, store_op)(*args, **kwargs) torch.distributed.DistNetworkError: Broken pipe The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/torchrun", line 8, in 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 254, in launch_agent result = agent.run() File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/metrics/api.py", line 123, in wrapper result = f(*args, **kwargs) File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 733, in run result = self._invoke_run(role) File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 908, in _invoke_run num_nodes_waiting = rdzv_handler.num_nodes_waiting() File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 1174, in num_nodes_waiting self._state_holder.sync() File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 419, in sync get_response = self._backend.get_state() File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 73, in get_state base64_state: bytes = self._call_store("get", self._key) File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 115, in _call_store raise RendezvousConnectionError( torch.distributed.elastic.rendezvous.api.RendezvousConnectionError: The connection to the C10d store has failed. See inner exception for details. srun: error: ip-26-0-169-247: 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.