======================== START TIME: Tue Jul 2 16:22:44 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 16:22:46.471000 140582023915328 torch/distributed/run.py:757] W0702 16:22:46.471000 140582023915328 torch/distributed/run.py:757] ***************************************** W0702 16:22:46.471000 140582023915328 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 16:22:46.471000 140582023915328 torch/distributed/run.py:757] ***************************************** W0702 16:22:46.529000 140655429625664 torch/distributed/run.py:757] W0702 16:22:46.529000 140655429625664 torch/distributed/run.py:757] ***************************************** W0702 16:22:46.529000 140655429625664 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 16:22:46.529000 140655429625664 torch/distributed/run.py:757] ***************************************** [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: Config: [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: Config(general=GeneralArgs(project='bench_cluster', [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: run='%date_%jobid', [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: seed=42, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: step=None, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: consumed_train_samples=None, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: benchmark_csv_path=None, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: ignore_sanity_checks=True), [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: parallelism=ParallelismArgs(dp=2, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: pp=8, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: tp=1, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: pp_engine=, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: tp_mode=, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: tp_linear_async_communication=False, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: expert_parallel_size=1), [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: model=ModelArgs(model_config=LlamaConfig(bos_token_id=1, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: eos_token_id=2, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: hidden_act='silu', [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: hidden_size=2048, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: initializer_range=0.02, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: intermediate_size=4096, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: is_llama_config=True, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: max_position_embeddings=4096, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: num_attention_heads=32, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: num_hidden_layers=24, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: num_key_value_heads=32, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: pad_token_id=None, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: pretraining_tp=1, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: rms_norm_eps=1e-05, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: rope_scaling=None, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: rope_theta=10000.0, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: tie_word_embeddings=True, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: use_cache=True, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: vocab_size=50257), [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: init_method=RandomInit(std=0.025), [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: dtype=torch.bfloat16, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: make_vocab_size_divisible_by=1, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: ddp_bucket_cap_mb=25), [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: tokenizer=TokenizerArgs(tokenizer_name_or_path='openai-community/gpt2', [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: tokenizer_revision=None, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: tokenizer_max_length=None), [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: checkpoints=CheckpointsArgs(checkpoints_path=Path('/dev/null'), [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: checkpoint_interval=100000, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: save_initial_state=False, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: resume_checkpoint_path=None, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: checkpoints_path_is_shared_file_system=False), [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: logging=LoggingArgs(log_level='info', [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: log_level_replica='info', [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: iteration_step_info_interval=1), [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: tokens=TokensArgs(sequence_length=4096, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: train_steps=20, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: micro_batch_size=32, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: batch_accumulation_per_replica=16, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: val_check_interval=-1, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: limit_val_batches=0, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: limit_test_batches=0), [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: optimizer=OptimizerArgs(optimizer_factory=AdamWOptimizerArgs(adam_eps=1e-08, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: adam_beta1=0.9, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: adam_beta2=0.95, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: torch_adam_is_fused=True, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: name='adamW'), [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: zero_stage=1, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: weight_decay=0.01, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: clip_grad=1.0, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: accumulate_grad_in_fp32=True, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: learning_rate_scheduler=LRSchedulerArgs(learning_rate=0.0001, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: lr_warmup_steps=1, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: lr_warmup_style='linear', [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: lr_decay_style='linear', [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: lr_decay_steps=19, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: lr_decay_starting_step=None, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: min_decay_lr=1e-05)), [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: data_stages=[DatasetStageArgs(name='Training Stage', [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: start_training_step=1, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: data=DataArgs(dataset=PretrainDatasetsArgs(hf_dataset_or_datasets='roneneldan/TinyStories', [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: hf_dataset_splits='train', [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: hf_dataset_config_name=None, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: dataset_processing_num_proc_per_process=64, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: dataset_overwrite_cache=False, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: text_column_name='text'), [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: seed=42, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: num_loading_workers=32))], [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: profiler=ProfilerArgs(profiler_export_path=Path('/fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/16_GPUS/dp-2_tp-1_pp-8_mbz-32')), [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: lighteval=None) [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: Model Config: [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: LlamaConfig(bos_token_id=1, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: eos_token_id=2, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: hidden_act='silu', [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: hidden_size=2048, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: initializer_range=0.02, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: intermediate_size=4096, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: is_llama_config=True, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: max_position_embeddings=4096, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: num_attention_heads=32, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: num_hidden_layers=24, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: num_key_value_heads=32, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: pad_token_id=None, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: pretraining_tp=1, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: rms_norm_eps=1e-05, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: rope_scaling=None, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: rope_theta=10000.0, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: tie_word_embeddings=True, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: use_cache=True, [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: vocab_size=50257) [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: Building model.. [default0]:07/02/2024 16:23:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: Setting PP block ranks... [default2]:07/02/2024 16:23:19 [INFO|DP=0|PP=5|TP=0|ip-26-0-170-31]: Local number of parameters: 126M (240.02MiB) [default2]:07/02/2024 16:23:19 [INFO|DP=0|PP=5|TP=0|ip-26-0-170-31]: [After model building] Memory usage: 243.03MiB. Peak allocated: 245.06MiB Peak reserved: 262.00MiB [default2]:07/02/2024 16:23:19 [INFO|DP=0|PP=5|TP=0|ip-26-0-170-31]: No checkpoint path provided. [default0]:07/02/2024 16:23:19 [INFO|DP=0|PP=4|TP=0|ip-26-0-170-31]: Local number of parameters: 126M (240.02MiB) [default0]:07/02/2024 16:23:19 [INFO|DP=0|PP=4|TP=0|ip-26-0-170-31]: [After model building] Memory usage: 243.03MiB. Peak allocated: 245.06MiB Peak reserved: 262.00MiB [default0]:07/02/2024 16:23:19 [INFO|DP=0|PP=4|TP=0|ip-26-0-170-31]: No checkpoint path provided. [default6]:07/02/2024 16:23:19 [INFO|DP=0|PP=7|TP=0|ip-26-0-170-31]: Local number of parameters: 103M (196.32MiB) [default6]:07/02/2024 16:23:19 [INFO|DP=0|PP=7|TP=0|ip-26-0-170-31]: [After model building] Memory usage: 196.33MiB. Peak allocated: 196.34MiB Peak reserved: 200.00MiB [default6]:07/02/2024 16:23:19 [INFO|DP=0|PP=7|TP=0|ip-26-0-170-31]: No checkpoint path provided. [default4]:07/02/2024 16:23:19 [INFO|DP=0|PP=6|TP=0|ip-26-0-170-31]: Local number of parameters: 168M (320.03MiB) [default4]:07/02/2024 16:23:19 [INFO|DP=0|PP=6|TP=0|ip-26-0-170-31]: [After model building] Memory usage: 324.04MiB. Peak allocated: 326.07MiB Peak reserved: 336.00MiB [default4]:07/02/2024 16:23:19 [INFO|DP=0|PP=6|TP=0|ip-26-0-170-31]: No checkpoint path provided. [default2]:07/02/2024 16:23:19 [INFO|DP=0|PP=1|TP=0|ip-26-0-167-177]: Local number of parameters: 126M (240.02MiB) [default2]:07/02/2024 16:23:19 [INFO|DP=0|PP=1|TP=0|ip-26-0-167-177]: [After model building] Memory usage: 243.03MiB. Peak allocated: 245.06MiB Peak reserved: 262.00MiB [default2]:07/02/2024 16:23:19 [INFO|DP=0|PP=1|TP=0|ip-26-0-167-177]: No checkpoint path provided. [default0]:07/02/2024 16:23:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: Total number of parameters: 1.21G (2312.82MiB) [default0]:07/02/2024 16:23:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: Local number of parameters: 271M (516.35MiB) [default0]:07/02/2024 16:23:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: [After model building] Memory usage: 520.36MiB. Peak allocated: 522.39MiB Peak reserved: 534.00MiB [default0]:07/02/2024 16:23:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: No checkpoint path provided. [default0]:07/02/2024 16:23:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: Parametrizing model parameters using StandardParametrizator [default6]:07/02/2024 16:23:19 [INFO|DP=0|PP=3|TP=0|ip-26-0-167-177]: Local number of parameters: 168M (320.03MiB) [default6]:07/02/2024 16:23:19 [INFO|DP=0|PP=3|TP=0|ip-26-0-167-177]: [After model building] Memory usage: 324.04MiB. Peak allocated: 326.07MiB Peak reserved: 336.00MiB [default6]:07/02/2024 16:23:19 [INFO|DP=0|PP=3|TP=0|ip-26-0-167-177]: No checkpoint path provided. [default4]:07/02/2024 16:23:19 [INFO|DP=0|PP=2|TP=0|ip-26-0-167-177]: Local number of parameters: 126M (240.02MiB) [default4]:07/02/2024 16:23:19 [INFO|DP=0|PP=2|TP=0|ip-26-0-167-177]: [After model building] Memory usage: 243.03MiB. Peak allocated: 245.06MiB Peak reserved: 262.00MiB [default4]:07/02/2024 16:23:19 [INFO|DP=0|PP=2|TP=0|ip-26-0-167-177]: No checkpoint path provided. [default3]:07/02/2024 16:23:19 [INFO|DP=1|PP=5|TP=0|ip-26-0-170-31]: No checkpoint path provided. [default7]:07/02/2024 16:23:19 [INFO|DP=1|PP=7|TP=0|ip-26-0-170-31]: No checkpoint path provided. [default1]:07/02/2024 16:23:19 [INFO|DP=1|PP=4|TP=0|ip-26-0-170-31]: No checkpoint path provided. [default3]:07/02/2024 16:23:19 [INFO|DP=1|PP=1|TP=0|ip-26-0-167-177]: No checkpoint path provided. [default1]:07/02/2024 16:23:19 [INFO|DP=1|PP=0|TP=0|ip-26-0-167-177]: No checkpoint path provided. [default5]:07/02/2024 16:23:19 [INFO|DP=1|PP=6|TP=0|ip-26-0-170-31]: No checkpoint path provided. [default7]:07/02/2024 16:23:19 [INFO|DP=1|PP=3|TP=0|ip-26-0-167-177]: No checkpoint path provided. [default5]:07/02/2024 16:23:19 [INFO|DP=1|PP=2|TP=0|ip-26-0-167-177]: No checkpoint path provided. [default0]:07/02/2024 16:23:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: [Optimizer Building] Using LearningRateForSP as learning rate [default0]:07/02/2024 16:23:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: [ZeRO sharding] Size of optimizer params per rank: [default0]:07/02/2024 16:23:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: [ZeRO sharding] DP Rank 0 has 135M out of 271M (50.00%) params' optimizer states [default0]:07/02/2024 16:23:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: [ZeRO sharding] DP Rank 1 has 135M out of 271M (50.00%) params' optimizer states [default0]:07/02/2024 16:23:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: [Training Plan] Stage Training Stage has 19 remaining training steps and has consumed 0 samples [default0]:07/02/2024 16:23:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: Using `datasets` library [default0]:07/02/2024 16:23:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: Loading tokenizer from openai-community/gpt2 and transformers/hf_hub versions ('4.41.2', '0.23.4') [default0]:07/02/2024 16:23:23 [WARNING|DP=0|PP=0|TP=0|ip-26-0-167-177]: Repo card metadata block was not found. Setting CardData to empty. [default0]:Repo card metadata block was not found. Setting CardData to empty. [default0]:07/02/2024 16:23:24 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: [Training Plan] There are 1 training stages [default0]:07/02/2024 16:23:24 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: [Stage Training Stage] start from step 1 [default0]:07/02/2024 16:23:24 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: [default0]:07/02/2024 16:23:24 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: [Start training] datetime: 2024-07-02 16:23:24.518436 | mbs: 32 | grad_accum: 16 | global_batch_size: 1024 | sequence_length: 4096 | train_steps: 20 | start_iteration_step: 0 | consumed_train_samples: 0 [default0]:07/02/2024 16:23:24 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: Resuming training from stage Training Stage, it has trained for 0 samples and has 19 remaining train steps [default0]:07/02/2024 16:23:24 [INFO|DP=0|PP=0|TP=0|ip-26-0-167-177]: Memory usage: 2069.40MiB. Peak allocated 2069.40MiB. Peak reserved: 2086.00MiB [default0]:Repo card metadata block was not found. Setting CardData to empty. [default3]:07/02/2024 16:23:24 [WARNING|DP=1|PP=5|TP=0|ip-26-0-170-31]: Repo card metadata block was not found. Setting CardData to empty. [default5]:Repo card metadata block was not found. Setting CardData to empty. [default7]:07/02/2024 16:23:24 [WARNING|DP=1|PP=7|TP=0|ip-26-0-170-31]: Repo card metadata block was not found. Setting CardData to empty. [default1]:Repo card metadata block was not found. Setting CardData to empty. [default0]:07/02/2024 16:23:24 [WARNING|DP=0|PP=4|TP=0|ip-26-0-170-31]: Repo card metadata block was not found. Setting CardData to empty. [default1]:07/02/2024 16:23:24 [WARNING|DP=1|PP=4|TP=0|ip-26-0-170-31]: Repo card metadata block was not found. Setting CardData to empty. [default4]:Repo card metadata block was not found. Setting CardData to empty. [default6]:07/02/2024 16:23:24 [WARNING|DP=0|PP=7|TP=0|ip-26-0-170-31]: Repo card metadata block was not found. Setting CardData to empty. [default4]:07/02/2024 16:23:24 [WARNING|DP=0|PP=6|TP=0|ip-26-0-170-31]: Repo card metadata block was not found. Setting CardData to empty. [default7]:Repo card metadata block was not found. Setting CardData to empty. [default5]:07/02/2024 16:23:24 [WARNING|DP=1|PP=6|TP=0|ip-26-0-170-31]: Repo card metadata block was not found. Setting CardData to empty. [default2]:07/02/2024 16:23:24 [WARNING|DP=0|PP=1|TP=0|ip-26-0-167-177]: Repo card metadata block was not found. Setting CardData to empty. [default6]:Repo card metadata block was not found. Setting CardData to empty. [default7]:07/02/2024 16:23:24 [WARNING|DP=1|PP=3|TP=0|ip-26-0-167-177]: Repo card metadata block was not found. Setting CardData to empty. [default3]:07/02/2024 16:23:24 [WARNING|DP=1|PP=1|TP=0|ip-26-0-167-177]: Repo card metadata block was not found. Setting CardData to empty. [default6]:07/02/2024 16:23:24 [WARNING|DP=0|PP=3|TP=0|ip-26-0-167-177]: Repo card metadata block was not found. Setting CardData to empty. [default1]:07/02/2024 16:23:24 [WARNING|DP=1|PP=0|TP=0|ip-26-0-167-177]: Repo card metadata block was not found. Setting CardData to empty. [default6]:Repo card metadata block was not found. Setting CardData to empty. [default5]:07/02/2024 16:23:24 [WARNING|DP=1|PP=2|TP=0|ip-26-0-167-177]: Repo card metadata block was not found. Setting CardData to empty. [default7]:Repo card metadata block was not found. Setting CardData to empty. [default4]:07/02/2024 16:23:24 [WARNING|DP=0|PP=2|TP=0|ip-26-0-167-177]: Repo card metadata block was not found. Setting CardData to empty. [default3]:Repo card metadata block was not found. Setting CardData to empty. [default1]:Repo card metadata block was not found. Setting CardData to empty. [default4]: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]:Repo card metadata block was not found. Setting CardData to empty. [default2]:Repo card metadata block was not found. Setting CardData to empty. [default2]:07/02/2024 16:23:24 [WARNING|DP=0|PP=5|TP=0|ip-26-0-170-31]: Repo card metadata block was not found. Setting CardData to empty. [default0]:[rank0]: Traceback (most recent call last): [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default0]:[rank0]: trainer.train(dataloader) [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default0]:[rank0]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default0]:[rank0]: outputs = self.pipeline_engine.train_batch_iter( [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default0]:[rank0]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default0]:[rank0]: output = model(**micro_batch) [default0]:[rank0]: 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]:[rank0]: return self._call_impl(*args, **kwargs) [default0]:[rank0]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default0]:[rank0]: return forward_call(*args, **kwargs) [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default0]:[rank0]: sharded_logits = self.model( [default0]:[rank0]: 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]:[rank0]: return self._call_impl(*args, **kwargs) [default0]:[rank0]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default0]:[rank0]: return forward_call(*args, **kwargs) [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default0]:[rank0]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default0]:[rank0]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default0]:[rank0]: 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]:[rank0]: return self._call_impl(*args, **kwargs) [default0]:[rank0]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default0]:[rank0]: return forward_call(*args, **kwargs) [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 151, in forward [default0]:[rank0]: output = self.pp_block(**new_kwargs) [default0]:[rank0]: 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]:[rank0]: return self._call_impl(*args, **kwargs) [default0]:[rank0]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default0]:[rank0]: return forward_call(*args, **kwargs) [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 631, in forward [default0]:[rank0]: output = self.attn(hidden_states=hidden_states, sequence_mask=sequence_mask) [default0]:[rank0]: 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]:[rank0]: return self._call_impl(*args, **kwargs) [default0]:[rank0]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default0]:[rank0]: return forward_call(*args, **kwargs) [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 360, in forward [default0]:[rank0]: qkv_states = self.qkv_proj( [default0]:[rank0]: 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]:[rank0]: return self._call_impl(*args, **kwargs) [default0]:[rank0]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default0]:[rank0]: return forward_call(*args, **kwargs) [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/tensor_parallel/nn.py", line 87, in forward [default0]:[rank0]: return column_linear( [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/tensor_parallel/functional.py", line 359, in column_linear [default0]:[rank0]: return F.linear(input, weight, bias) [default0]:[rank0]: torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.50 GiB. GPU [default2]:[rank2]: OSError: [Errno 122] Disk quota exceeded [default2]: [default2]:[rank2]: During handling of the above exception, another exception occurred: [default2]: [default2]:[rank2]: Traceback (most recent call last): [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default2]:[rank2]: trainer.train(dataloader) [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default2]:[rank2]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default2]:[rank2]: outputs = self.pipeline_engine.train_batch_iter( [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default2]:[rank2]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default2]:[rank2]: output = model(**micro_batch) [default2]:[rank2]: 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]:[rank2]: return self._call_impl(*args, **kwargs) [default2]:[rank2]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default2]:[rank2]: return forward_call(*args, **kwargs) [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default2]:[rank2]: sharded_logits = self.model( [default2]:[rank2]: 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]:[rank2]: return self._call_impl(*args, **kwargs) [default2]:[rank2]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default2]:[rank2]: return forward_call(*args, **kwargs) [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default2]:[rank2]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default2]:[rank2]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default2]:[rank2]: 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]:[rank2]: return self._call_impl(*args, **kwargs) [default2]:[rank2]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default2]:[rank2]: return forward_call(*args, **kwargs) [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 151, in forward [default2]:[rank2]: output = self.pp_block(**new_kwargs) [default2]:[rank2]: 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]:[rank2]: return self._call_impl(*args, **kwargs) [default2]:[rank2]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default2]:[rank2]: return forward_call(*args, **kwargs) [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 631, in forward [default2]:[rank2]: output = self.attn(hidden_states=hidden_states, sequence_mask=sequence_mask) [default2]:[rank2]: 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]:[rank2]: return self._call_impl(*args, **kwargs) [default2]:[rank2]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default2]:[rank2]: return forward_call(*args, **kwargs) [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 566, in forward [default2]:[rank2]: query_states, key_value_states = self.flash_rotary_embedding(query_states, kv=key_value_states) [default2]:[rank2]: 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]:[rank2]: return self._call_impl(*args, **kwargs) [default2]:[rank2]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default2]:[rank2]: return forward_call(*args, **kwargs) [default2]:[rank2]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/flash_attn/layers/rotary.py", line 457, in forward [default2]:[rank2]: q = apply_rotary_emb_func( [default2]:[rank2]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/flash_attn/layers/rotary.py", line 122, in apply_rotary_emb [default2]:[rank2]: return ApplyRotaryEmb.apply( [default2]:[rank2]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/autograd/function.py", line 598, in apply [default2]:[rank2]: return super().apply(*args, **kwargs) # type: ignore[misc] [default2]:[rank2]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/flash_attn/layers/rotary.py", line 48, in forward [default2]:[rank2]: out = apply_rotary( [default2]:[rank2]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/flash_attn/ops/triton/rotary.py", line 202, in apply_rotary [default2]:[rank2]: rotary_kernel[grid]( [default2]:[rank2]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/jit.py", line 167, in [default2]:[rank2]: return lambda *args, **kwargs: self.run(grid=grid, warmup=False, *args, **kwargs) [default2]:[rank2]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/jit.py", line 416, in run [default2]:[rank2]: self.cache[device][key] = compile( [default2]:[rank2]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/compiler/compiler.py", line 194, in compile [default2]:[rank2]: metadata_group[f"{src.name}.{ext}"] = fn_cache_manager.put(next_module, f"{src.name}.{ext}") [default2]:[rank2]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/cache.py", line 123, in put [default2]:[rank2]: with open(temp_path, mode) as f: [default2]:[rank2]: OSError: [Errno 122] Disk quota exceeded [default2]:[rank10]: Traceback (most recent call last): [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default2]:[rank10]: trainer.train(dataloader) [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default2]:[rank10]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default2]:[rank10]: outputs = self.pipeline_engine.train_batch_iter( [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default2]:[rank10]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default2]:[rank10]: output = model(**micro_batch) [default2]:[rank10]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default2]:[rank10]: return self._call_impl(*args, **kwargs) [default2]:[rank10]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default2]:[rank10]: return forward_call(*args, **kwargs) [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default2]:[rank10]: sharded_logits = self.model( [default2]:[rank10]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default2]:[rank10]: return self._call_impl(*args, **kwargs) [default2]:[rank10]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default2]:[rank10]: return forward_call(*args, **kwargs) [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default2]:[rank10]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default2]:[rank10]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default2]:[rank10]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default2]:[rank10]: return self._call_impl(*args, **kwargs) [default2]:[rank10]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default2]:[rank10]: return forward_call(*args, **kwargs) [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [default2]:[rank10]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer [default2]:[rank10]: pipeline_state.run_communication() [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default2]:[rank10]: recv_activation_tensor = recv_activation() [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default2]:[rank10]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default2]:[rank10]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default2]:[rank10]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default2]:[rank10]: dist.recv( [default2]:[rank10]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default2]:[rank10]: return func(*args, **kwargs) [default2]:[rank10]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [default2]:[rank10]: pg.recv([tensor], group_src_rank, tag).wait() [default2]:[rank10]: torch.distributed.DistBackendError: [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 [default2]:[rank10]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default2]:[rank10]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f5e48729897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default2]:[rank10]: frame #1: + 0x5b3a23e (0x7f5e8224623e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7f5e82240c87 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 (0x7f5e82240f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f5e82241fd1 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 (0x7f5e821f6371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f5e821f6371 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 (0x7f5e821f6371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f5e821f6371 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 (0x7f5e49a03189 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 (0x7f5e49a0a610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default2]:[rank10]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7f5e49a29978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default2]:[rank10]: frame #12: + 0x5adc309 (0x7f5e821e8309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #13: + 0x5ae6f10 (0x7f5e821f2f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #14: + 0x5ae6fa5 (0x7f5e821f2fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #15: + 0x5124446 (0x7f5e81830446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #16: + 0x1acf4b8 (0x7f5e7e1db4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #17: + 0x5aee004 (0x7f5e821fa004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #18: + 0x5af36b5 (0x7f5e821ff6b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #19: + 0xd2631e (0x7f5e94de931e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default2]:[rank10]: frame #20: + 0x47def4 (0x7f5e94540ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default2]:[rank10]: frame #21: + 0x1445a6 (0x55a7569c25a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55a7569bba6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #23: + 0x150866 (0x55a7569ce866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55a7569b7142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55a7569c2a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #26: PyObject_Call + 0xbc (0x55a7569cef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55a7569b52b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55a7569c2a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55a7569b38fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #30: + 0x150582 (0x55a7569ce582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55a7569b38fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #32: + 0x150582 (0x55a7569ce582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55a7569b38fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #34: + 0x150582 (0x55a7569ce582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55a7569b38fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55a7569baf50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55a7569ccc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #38: + 0x211239 (0x55a756a8f239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55a7569bba6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55a7569b73e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55a7569c2a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55a7569b2c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55a7569c2a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55a7569b38fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #45: + 0x150582 (0x55a7569ce582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #46: PyObject_Call + 0xbc (0x55a7569cef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55a7569b52b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #48: + 0x150582 (0x55a7569ce582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #49: PyObject_Call + 0xbc (0x55a7569cef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55a7569b52b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55a7569c2a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55a7569bb007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55a7569ccc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #54: + 0x211239 (0x55a756a8f239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #55: PyObject_Call + 0x207 (0x55a7569cf067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55a7569b52b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #57: + 0x150582 (0x55a7569ce582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55a7569b38fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #59: + 0x150582 (0x55a7569ce582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #60: PyObject_Call + 0xbc (0x55a7569cef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55a7569b52b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #62: + 0x150582 (0x55a7569ce582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #63: PyObject_Call + 0xbc (0x55a7569cef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: . This may indicate a possible application crash on rank 0 or a network set up issue. [default0]:[rank8]: Traceback (most recent call last): [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default0]:[rank8]: trainer.train(dataloader) [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default0]:[rank8]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default0]:[rank8]: outputs = self.pipeline_engine.train_batch_iter( [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default0]:[rank8]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default0]:[rank8]: output = model(**micro_batch) [default0]:[rank8]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default0]:[rank8]: return self._call_impl(*args, **kwargs) [default0]:[rank8]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default0]:[rank8]: return forward_call(*args, **kwargs) [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default0]:[rank8]: sharded_logits = self.model( [default0]:[rank8]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default0]:[rank8]: return self._call_impl(*args, **kwargs) [default0]:[rank8]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default0]:[rank8]: return forward_call(*args, **kwargs) [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default0]:[rank8]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default0]:[rank8]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default0]:[rank8]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default0]:[rank8]: return self._call_impl(*args, **kwargs) [default0]:[rank8]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default0]:[rank8]: return forward_call(*args, **kwargs) [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [default0]:[rank8]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer [default0]:[rank8]: pipeline_state.run_communication() [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default0]:[rank8]: recv_activation_tensor = recv_activation() [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default0]:[rank8]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default0]:[rank8]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default0]:[rank8]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default0]:[rank8]: dist.recv( [default0]:[rank8]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default0]:[rank8]: return func(*args, **kwargs) [default0]:[rank8]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [default0]:[rank8]: pg.recv([tensor], group_src_rank, tag).wait() [default0]:[rank8]: torch.distributed.DistBackendError: [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 [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 (0x7fb09f53a897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default0]:[rank8]: frame #1: + 0x5b3a23e (0x7fb0d905723e 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 (0x7fb0d9051c87 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 (0x7fb0d9051f82 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 (0x7fb0d9052fd1 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 (0x7fb0d9007371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fb0d9007371 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 (0x7fb0d9007371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fb0d9007371 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 (0x7fb0a0814189 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 (0x7fb0a081b610 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 (0x7fb0a083a978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default0]:[rank8]: frame #12: + 0x5adc309 (0x7fb0d8ff9309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #13: + 0x5ae6f10 (0x7fb0d9003f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #14: + 0x5ae6fa5 (0x7fb0d9003fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #15: + 0x5124446 (0x7fb0d8641446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #16: + 0x1acf4b8 (0x7fb0d4fec4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #17: + 0x5aee004 (0x7fb0d900b004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #18: + 0x5af36b5 (0x7fb0d90106b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #19: + 0xd2631e (0x7fb0ebbfa31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default0]:[rank8]: frame #20: + 0x47def4 (0x7fb0eb351ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default0]:[rank8]: frame #21: + 0x1445a6 (0x55a52f1db5a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55a52f1d4a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #23: + 0x150866 (0x55a52f1e7866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55a52f1d0142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55a52f1dba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #26: PyObject_Call + 0xbc (0x55a52f1e7f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55a52f1ce2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55a52f1dba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55a52f1cc8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #30: + 0x150582 (0x55a52f1e7582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55a52f1cc8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #32: + 0x150582 (0x55a52f1e7582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55a52f1cc8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #34: + 0x150582 (0x55a52f1e7582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55a52f1cc8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55a52f1d3f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55a52f1e5c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #38: + 0x211239 (0x55a52f2a8239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55a52f1d4a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55a52f1d03e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55a52f1dba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55a52f1cbc5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55a52f1dba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55a52f1cc8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #45: + 0x150582 (0x55a52f1e7582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #46: PyObject_Call + 0xbc (0x55a52f1e7f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55a52f1ce2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #48: + 0x150582 (0x55a52f1e7582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #49: PyObject_Call + 0xbc (0x55a52f1e7f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55a52f1ce2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55a52f1dba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55a52f1d4007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55a52f1e5c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #54: + 0x211239 (0x55a52f2a8239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #55: PyObject_Call + 0x207 (0x55a52f1e8067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55a52f1ce2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #57: + 0x150582 (0x55a52f1e7582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55a52f1cc8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #59: + 0x150582 (0x55a52f1e7582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #60: PyObject_Call + 0xbc (0x55a52f1e7f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55a52f1ce2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #62: + 0x150582 (0x55a52f1e7582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #63: PyObject_Call + 0xbc (0x55a52f1e7f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: . This may indicate a possible application crash on rank 0 or a network set up issue. [default4]:[rank12]: Traceback (most recent call last): [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default4]:[rank12]: trainer.train(dataloader) [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default4]:[rank12]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default4]:[rank12]: outputs = self.pipeline_engine.train_batch_iter( [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default4]:[rank12]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default4]:[rank12]: output = model(**micro_batch) [default4]:[rank12]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default4]:[rank12]: return self._call_impl(*args, **kwargs) [default4]:[rank12]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default4]:[rank12]: return forward_call(*args, **kwargs) [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default4]:[rank12]: sharded_logits = self.model( [default4]:[rank12]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default4]:[rank12]: return self._call_impl(*args, **kwargs) [default4]:[rank12]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default4]:[rank12]: return forward_call(*args, **kwargs) [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default4]:[rank12]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default4]:[rank12]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default4]:[rank12]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default4]:[rank12]: return self._call_impl(*args, **kwargs) [default4]:[rank12]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default4]:[rank12]: return forward_call(*args, **kwargs) [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [default4]:[rank12]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer [default4]:[rank12]: pipeline_state.run_communication() [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default4]:[rank12]: recv_activation_tensor = recv_activation() [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default4]:[rank12]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default4]:[rank12]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default4]:[rank12]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default4]:[rank12]: dist.recv( [default4]:[rank12]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default4]:[rank12]: return func(*args, **kwargs) [default4]:[rank12]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [default4]:[rank12]: pg.recv([tensor], group_src_rank, tag).wait() [default4]:[rank12]: torch.distributed.DistBackendError: [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 [default4]:[rank12]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default4]:[rank12]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f5ac4993897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default4]:[rank12]: frame #1: + 0x5b3a23e (0x7f5afe4b023e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7f5afe4aac87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f5afe4aaf82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f5afe4abfd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f5afe460371 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 (0x7f5afe460371 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 (0x7f5afe460371 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 (0x7f5afe460371 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 (0x7f5ac5c6d189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default4]:[rank12]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f5ac5c74610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default4]:[rank12]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7f5ac5c93978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default4]:[rank12]: frame #12: + 0x5adc309 (0x7f5afe452309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: frame #13: + 0x5ae6f10 (0x7f5afe45cf10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: frame #14: + 0x5ae6fa5 (0x7f5afe45cfa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: frame #15: + 0x5124446 (0x7f5afda9a446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: frame #16: + 0x1acf4b8 (0x7f5afa4454b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: frame #17: + 0x5aee004 (0x7f5afe464004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: frame #18: + 0x5af36b5 (0x7f5afe4696b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: frame #19: + 0xd2631e (0x7f5b1105331e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default4]:[rank12]: frame #20: + 0x47def4 (0x7f5b107aaef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default4]:[rank12]: frame #21: + 0x1445a6 (0x5585672855a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55856727ea6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #23: + 0x150866 (0x558567291866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55856727a142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #25: _PyFunction_Vectorcall + 0x6c (0x558567285a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #26: PyObject_Call + 0xbc (0x558567291f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x5585672782b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #28: _PyFunction_Vectorcall + 0x6c (0x558567285a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x5585672768fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #30: + 0x150582 (0x558567291582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x5585672768fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #32: + 0x150582 (0x558567291582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x5585672768fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #34: + 0x150582 (0x558567291582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x5585672768fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55856727df50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55856728fc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #38: + 0x211239 (0x558567352239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55856727ea6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55856727a3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #41: _PyFunction_Vectorcall + 0x6c (0x558567285a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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 [default4]:[rank12]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x558567275c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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( [default4]:[rank12]: frame #43: _PyFunction_Vectorcall + 0x6c (0x558567285a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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 [default4]:[rank12]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x5585672768fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: output = model(**micro_batch) [default4]:[rank12]: frame #45: + 0x150582 (0x558567291582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #46: PyObject_Call + 0xbc (0x558567291f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x5585672782b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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 [default4]:[rank12]: frame #48: + 0x150582 (0x558567291582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #49: PyObject_Call + 0xbc (0x558567291f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: return self._call_impl(*args, **kwargs) [default4]:[rank12]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x5585672782b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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) [default4]:[rank12]: frame #51: _PyFunction_Vectorcall + 0x6c (0x558567285a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: Traceback (most recent call last): [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( [default4]:[rank12]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55856727e007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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 [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default4]:[rank12]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55856728fc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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 [default7]:[rank15]: trainer.train(dataloader) [default6]:[rank14]: return forward_call(*args, **kwargs) [default4]:[rank12]: frame #54: + 0x211239 (0x558567352239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default4]:[rank12]: frame #55: PyObject_Call + 0x207 (0x558567292067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x5585672782b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #57: + 0x150582 (0x558567291582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x5585672768fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default6]:[rank14]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default7]:[rank15]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default4]:[rank12]: frame #59: + 0x150582 (0x558567291582 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 [default4]:[rank12]: frame #60: PyObject_Call + 0xbc (0x558567291f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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( [default1]:[rank9]: Traceback (most recent call last): [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default5]:[rank13]: trainer.train(dataloader) [default4]:[rank12]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x5585672782b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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"] [default4]:[rank12]: frame #62: + 0x150582 (0x558567291582 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 429, in train [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) [default5]:[rank13]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default4]:[rank12]: frame #63: PyObject_Call + 0xbc (0x558567291f1c 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. [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) [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [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 [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 [default5]:[rank13]: outputs = self.pipeline_engine.train_batch_iter( [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default7]:[rank15]: return self._call_impl(*args, **kwargs) [default1]:[rank9]: trainer.train(dataloader) [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [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 [default5]:[rank13]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default6]:[rank14]: return self._call_impl(*args, **kwargs) [default7]:[rank15]: return forward_call(*args, **kwargs) [default1]:[rank9]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [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 [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default1]:[rank9]: outputs = self.pipeline_engine.train_batch_iter( [default6]:[rank14]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [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) [default7]:[rank15]: sharded_logits = self.model( [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 [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 [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default5]:[rank13]: output = model(**micro_batch) [default7]:[rank15]: return self._call_impl(*args, **kwargs) [default6]:[rank14]: pipeline_state.run_communication() [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 [default6]:[rank14]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default5]:[rank13]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default5]:[rank13]: return self._call_impl(*args, **kwargs) [default6]:[rank14]: recv_activation_tensor = recv_activation() [default6]:[rank14]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default5]:[rank13]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default5]:[rank13]: return forward_call(*args, **kwargs) [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default3]:[rank11]: Traceback (most recent call last): [default1]:[rank9]: return self._call_impl(*args, **kwargs) [default5]:[rank13]: 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 1541, in _call_impl [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) [default7]:[rank15]: return forward_call(*args, **kwargs) [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 [default6]:[rank14]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default6]:[rank14]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [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 [default1]:[rank9]: sharded_logits = self.model( [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default3]:[rank11]: trainer.train(dataloader) [default7]:[rank15]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [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]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 782, in forward_with_hidden_states [default6]:[rank14]: dist.recv( [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 [default7]:[rank15]: hidden_states = self.final_layer_norm(input=hidden_encoder_states["hidden_states"])["hidden_states"] [default5]:[rank13]: return self._call_impl(*args, **kwargs) [default5]:[rank13]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default3]:[rank11]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [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) [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [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 [default6]:[rank14]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default7]:[rank15]: return self._call_impl(*args, **kwargs) [default6]:[rank14]: return func(*args, **kwargs) [default3]:[rank11]: outputs = self.pipeline_engine.train_batch_iter( [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 [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() [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default5]:[rank13]: return forward_call(*args, **kwargs) [default1]:[rank9]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default3]:[rank11]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default7]:[rank15]: return forward_call(*args, **kwargs) [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 [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [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 (0x7f4fa8161897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default1]:[rank9]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default5]:[rank13]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default6]:[rank14]: frame #1: + 0x5b3a23e (0x7f4fe1c7e23e 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/engine.py", line 44, in forward [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 [default3]:[rank11]: output = model(**micro_batch) [default6]:[rank14]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7f4fe1c78c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f4fe1c78f82 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 (0x7f4fe1c79fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: return forward_call(*args, **kwargs) [default7]:[rank15]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default5]:[rank13]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [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() [default6]:[rank14]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f4fe1c2e371 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 (0x7f4fe1c2e371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [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 [default1]:[rank9]: new_kwargs[name] = recv_from_pipeline_state_buffer( [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]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f4fe1c2e371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f4fe1c2e371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [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 [default3]:[rank11]: return self._call_impl(*args, **kwargs) [default6]:[rank14]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f4fa943b189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default7]:[rank15]: recv_activation_tensor = recv_activation() [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 [default5]:[rank13]: return self._call_impl(*args, **kwargs) [default6]:[rank14]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f4fa9442610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default3]:[rank11]: return forward_call(*args, **kwargs) [default6]:[rank14]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7f4fa9461978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [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 [default1]:[rank9]: pipeline_state.run_communication() [default7]:[rank15]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default5]:[rank13]: return forward_call(*args, **kwargs) [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default7]:[rank15]: 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/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [default3]:[rank11]: sharded_logits = self.model( [default6]:[rank14]: frame #12: + 0x5adc309 (0x7f4fe1c20309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [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() [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 [default7]:[rank15]: 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/state.py", line 31, in __call__ [default3]:[rank11]: return self._call_impl(*args, **kwargs) [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default1]:[rank9]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default7]:[rank7]: Traceback (most recent call last): [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 [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default7]:[rank7]: trainer.train(dataloader) [default6]:[rank14]: frame #13: + 0x5ae6f10 (0x7f4fe1c2af10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default7]:[rank7]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default1]:[rank9]: 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) [default5]:[rank13]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default1]:[rank9]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default6]:[rank14]: frame #14: + 0x5ae6fa5 (0x7f4fe1c2afa5 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/models/llama.py", line 764, in forward [default3]:[rank11]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default7]:[rank15]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default6]:[rank6]: Traceback (most recent call last): [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default6]:[rank14]: frame #15: + 0x5124446 (0x7f4fe1268446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #16: + 0x1acf4b8 (0x7f4fddc134b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default4]:[rank4]: Traceback (most recent call last): [default7]:[rank7]: outputs = self.pipeline_engine.train_batch_iter( [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default6]:[rank14]: frame #17: + 0x5aee004 (0x7f4fe1c32004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer [default5]:[rank13]: pipeline_state.run_communication() [default4]:[rank4]: trainer.train(dataloader) [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default6]:[rank14]: frame #18: + 0x5af36b5 (0x7f4fe1c376b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default3]:[rank11]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [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 [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default4]:[rank4]: outputs = self.pipeline_engine.train_batch_iter( [default6]:[rank6]: trainer.train(dataloader) [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default7]:[rank15]: dist.recv( [default7]:[rank15]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default7]:[rank7]: 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 [default4]:[rank4]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default5]:[rank13]: recv_activation_tensor = recv_activation() [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default3]:[rank11]: return self._call_impl(*args, **kwargs) [default6]:[rank14]: frame #19: + 0xd2631e (0x7f4ff482131e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default1]:[rank9]: dist.recv( [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]:[rank6]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default6]:[rank14]: frame #20: + 0x47def4 (0x7f4ff3f78ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default7]:[rank7]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default6]:[rank14]: frame #21: + 0x1445a6 (0x55dd5a31d5a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default7]:[rank15]: return func(*args, **kwargs) [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default5]:[rank13]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default7]:[rank7]: return self._call_impl(*args, **kwargs) [default4]:[rank4]: output = model(**micro_batch) [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default7]:[rank7]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default3]:[rank11]: return forward_call(*args, **kwargs) [default6]:[rank6]: outputs = self.pipeline_engine.train_batch_iter( [default7]:[rank7]: return forward_call(*args, **kwargs) [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 [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 [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default7]:[rank7]: sharded_logits = self.model( [default7]:[rank15]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default4]:[rank4]: return self._call_impl(*args, **kwargs) [default7]:[rank15]: pg.recv([tensor], group_src_rank, tag).wait() [default7]:[rank7]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default7]:[rank7]: return self._call_impl(*args, **kwargs) [default6]:[rank6]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [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 [default7]:[rank7]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default4]:[rank4]: return forward_call(*args, **kwargs) [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [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( [default3]:[rank11]: new_kwargs[name] = recv_from_pipeline_state_buffer( [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 [default6]:[rank14]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55dd5a316a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #23: + 0x150866 (0x55dd5a329866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: output = model(**micro_batch) [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default7]:[rank7]: return forward_call(*args, **kwargs) [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 [default4]:[rank4]: return self._call_impl(*args, **kwargs) [default7]:[rank15]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default6]:[rank6]: 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]: 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]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default1]:[rank9]: pg.recv([tensor], group_src_rank, tag).wait() [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [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 [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 [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default7]:[rank15]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f59e8647897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default7]:[rank15]: frame #1: + 0x5b3a23e (0x7f5a2216423e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [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 [default4]:[rank4]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default6]:[rank14]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55dd5a312142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: return self._call_impl(*args, **kwargs) [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default7]:[rank15]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7f5a2215ec87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default1]:[rank9]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default3]:[rank11]: pipeline_state.run_communication() [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default3]:[rank11]: recv_activation_tensor = recv_activation() [default6]:[rank6]: 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]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default1]:[rank9]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fbcb9813897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default7]:[rank15]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f5a2215ef82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank4]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default5]:[rank13]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default7]:[rank7]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default6]:[rank14]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55dd5a31da2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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 [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default4]:[rank4]: return self._call_impl(*args, **kwargs) [default7]:[rank7]: return self._call_impl(*args, **kwargs) [default7]:[rank15]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f5a2215ffd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: Traceback (most recent call last): [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [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 [default3]:[rank3]: trainer.train(dataloader) [default1]:[rank9]: frame #1: + 0x5b3a23e (0x7fbcf333023e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default6]:[rank14]: frame #26: PyObject_Call + 0xbc (0x55dd5a329f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: return forward_call(*args, **kwargs) [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 126, in forward [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default7]:[rank7]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default5]:[rank13]: dist.recv( [default7]:[rank7]: return forward_call(*args, **kwargs) [default4]:[rank4]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default6]:[rank14]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55dd5a3102b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default7]:[rank15]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f5a22114371 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 (0x7fbcf332ac87 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 (0x7fbcf332af82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: sharded_logits = self.model( [default7]:[rank15]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f5a22114371 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 (0x7f5a22114371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default1]:[rank9]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7fbcf332bfd1 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 (0x7fbcf32e0371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer [default3]:[rank11]: 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]:[rank6]: 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]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default3]:[rank11]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default1]:[rank9]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fbcf32e0371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default7]:[rank15]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f5a22114371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f59e9921189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default1]:[rank9]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fbcf32e0371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: return func(*args, **kwargs) [default7]:[rank7]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default4]:[rank4]: pipeline_state.run_communication() [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default4]:[rank4]: recv_activation_tensor = recv_activation() [default5]:[rank13]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [default3]:[rank3]: outputs = self.pipeline_engine.train_batch_iter( [default7]:[rank15]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f59e9928610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default1]:[rank9]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fbcf32e0371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: return self._call_impl(*args, **kwargs) [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default6]:[rank14]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55dd5a31da2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [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 [default6]:[rank6]: 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 self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default5]:[rank13]: pg.recv([tensor], group_src_rank, tag).wait() [default3]:[rank3]: output = model(**micro_batch) [default7]:[rank15]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7f59e9947978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default1]:[rank9]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7fbcbaaed189 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 (0x7fbcbaaf4610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default3]:[rank3]: 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]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default6]:[rank6]: return forward_call(*args, **kwargs) [default4]:[rank4]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default3]:[rank3]: return self._call_impl(*args, **kwargs) [default3]:[rank3]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer [default7]:[rank7]: pipeline_state.run_communication() [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 [default6]:[rank14]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55dd5a30e8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: return forward_call(*args, **kwargs) [default1]:[rank9]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7fbcbab13978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default6]:[rank6]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default7]:[rank15]: frame #12: + 0x5adc309 (0x7f5a22106309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: frame #13: + 0x5ae6f10 (0x7f5a22110f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: return func(*args, **kwargs) [default3]:[rank11]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [default1]:[rank9]: frame #12: + 0x5adc309 (0x7fbcf32d2309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #30: + 0x150582 (0x55dd5a329582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default7]:[rank7]: recv_activation_tensor = recv_activation() [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default5]:[rank13]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default3]:[rank3]: sharded_logits = self.model( [default5]:[rank13]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fe846a08897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default7]:[rank15]: frame #14: + 0x5ae6fa5 (0x7f5a22110fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: pg.recv([tensor], group_src_rank, tag).wait() [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default6]:[rank6]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default3]:[rank3]: 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]:[rank3]: return self._call_impl(*args, **kwargs) [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 [default5]:[rank13]: frame #1: + 0x5b3a23e (0x7fe88052523e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default6]:[rank14]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55dd5a30e8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default3]:[rank3]: 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]: frame #32: + 0x150582 (0x55dd5a329582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: return forward_call(*args, **kwargs) [default5]:[rank13]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7fe88051fc87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: 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]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default6]:[rank14]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55dd5a30e8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #15: + 0x5124446 (0x7f5a2174e446 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 (0x7fe88051ff82 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 (0x7fe880520fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default1]:[rank9]: frame #13: + 0x5ae6f10 (0x7fbcf32dcf10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default6]:[rank6]: return self._call_impl(*args, **kwargs) [default6]:[rank14]: frame #34: + 0x150582 (0x55dd5a329582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55dd5a30e8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: dist.recv( [default6]:[rank6]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default3]:[rank3]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default5]:[rank13]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fe8804d5371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55dd5a315f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default3]:[rank11]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default6]:[rank6]: return forward_call(*args, **kwargs) [default3]:[rank11]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f92c316f897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default1]:[rank9]: frame #14: + 0x5ae6fa5 (0x7fbcf32dcfa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default6]:[rank14]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55dd5a327c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: 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]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default3]:[rank11]: frame #1: + 0x5b3a23e (0x7f92fcc8c23e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: frame #16: + 0x1acf4b8 (0x7f5a1e0f94b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #38: + 0x211239 (0x55dd5a3ea239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: return func(*args, **kwargs) [default3]:[rank3]: return self._call_impl(*args, **kwargs) [default7]:[rank7]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [default6]:[rank6]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [default4]:[rank4]: pg.recv([tensor], group_src_rank, tag).wait() [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer [default6]:[rank6]: pipeline_state.run_communication() [default3]:[rank3]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default5]:[rank13]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fe8804d5371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: dist.recv( [default3]:[rank11]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7f92fcc86c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: frame #17: + 0x5aee004 (0x7f5a22118004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: return forward_call(*args, **kwargs) [default4]:[rank4]: torch.distributed.DistBackendError: [2] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '1:2', but store->get('1:2') got error: Connection reset by peer [default7]:[rank7]: 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 #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fe8804d5371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [default1]:[rank9]: frame #15: + 0x5124446 (0x7fbcf291a446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: return func(*args, **kwargs) [default7]:[rank7]: 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 #18: + 0x5af36b5 (0x7f5a2211d6b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank4]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default5]:[rank13]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fe8804d5371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default7]:[rank7]: pg.recv([tensor], group_src_rank, tag).wait() [default1]:[rank9]: frame #16: + 0x1acf4b8 (0x7fbcef2c54b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #17: + 0x5aee004 (0x7fbcf32e4004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank4]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fc52ec90897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default7]:[rank15]: frame #19: + 0xd2631e (0x7f5a34d0731e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default6]:[rank6]: recv_activation_tensor = recv_activation() [default7]:[rank15]: frame #20: + 0x47def4 (0x7f5a3445eef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default7]:[rank7]: torch.distributed.DistBackendError: [3] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '2:3', but store->get('2:3') got error: Connection reset by peer [default1]:[rank9]: frame #18: + 0x5af36b5 (0x7fbcf32e96b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default6]:[rank14]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55dd5a316a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #1: + 0x5b3a23e (0x7fc5687ad23e 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 (0x7fe847ce2189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default1]:[rank9]: frame #19: + 0xd2631e (0x7fbd05ed331e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default6]:[rank6]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default3]:[rank3]: 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]: frame #20: + 0x47def4 (0x7fbd0562aef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default7]:[rank15]: frame #21: + 0x1445a6 (0x55e2a40305a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55dd5a3123e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7fe847ce9610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default5]:[rank13]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7fe847d08978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default7]:[rank7]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default7]:[rank7]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fe9653ee897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default7]:[rank15]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55e2a4029a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: pipeline_state.run_communication() [default3]:[rank11]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f92fcc86f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #12: + 0x5adc309 (0x7fe8804c7309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #13: + 0x5ae6f10 (0x7fe8804d1f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #21: + 0x1445a6 (0x5618617145a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #22: _PyObject_MakeTpCall + 0x26b (0x56186170da6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default7]:[rank15]: frame #23: + 0x150866 (0x55e2a403c866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #23: + 0x150866 (0x561861720866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default4]:[rank4]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7fc5687a7c87 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 (0x7f92fcc87fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f92fcc3c371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank4]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7fc5687a7f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #14: + 0x5ae6fa5 (0x7fe8804d1fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #15: + 0x5124446 (0x7fe87fb0f446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55dd5a31da2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55e2a4025142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #1: + 0x5b3a23e (0x7fe99ef0b23e 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 (0x7f92fcc3c371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: recv_activation_tensor = recv_activation() [default6]:[rank14]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55dd5a30dc5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55e2a4030a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7fc5687a8fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default7]:[rank7]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7fe99ef05c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7fe99ef05f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7fe99ef06fd1 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 (0x7f92fcc3c371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55dd5a31da2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x561861709142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #16: + 0x1acf4b8 (0x7fe87c4ba4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: Traceback (most recent call last): [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default7]:[rank7]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fe99eebb371 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 (0x7f92fcc3c371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fe99eebb371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default4]:[rank4]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fc56875d371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #25: _PyFunction_Vectorcall + 0x6c (0x561861714a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fe99eebb371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default4]:[rank4]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fc56875d371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank4]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fc56875d371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #17: + 0x5aee004 (0x7fe8804d9004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: frame #26: PyObject_Call + 0xbc (0x55e2a403cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #26: PyObject_Call + 0xbc (0x561861720f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #18: + 0x5af36b5 (0x7fe8804de6b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55dd5a30e8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x5618617072b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #19: + 0xd2631e (0x7fe8930c831e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default6]:[rank14]: frame #45: + 0x150582 (0x55dd5a329582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #46: PyObject_Call + 0xbc (0x55dd5a329f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55e2a40232b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f92c4449189 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 (0x7f92c4450610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default5]:[rank13]: frame #20: + 0x47def4 (0x7fe89281fef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default6]:[rank14]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55dd5a3102b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55e2a4030a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #28: _PyFunction_Vectorcall + 0x6c (0x561861714a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #21: + 0x1445a6 (0x55e3eed1a5a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #48: + 0x150582 (0x55dd5a329582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x5618617058fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55e2a40218fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55e3eed13a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #49: PyObject_Call + 0xbc (0x55dd5a329f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55dd5a3102b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7f92c446f978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default5]:[rank13]: frame #23: + 0x150866 (0x55e3eed26866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #30: + 0x150582 (0x561861720582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #12: + 0x5adc309 (0x7f92fcc2e309 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 (0x55e3eed0f142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55dd5a31da2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55dd5a316007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55e3eed1aa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #13: + 0x5ae6f10 (0x7f92fcc38f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: frame #30: + 0x150582 (0x55e2a403c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55e2a40218fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #26: PyObject_Call + 0xbc (0x55e3eed26f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x5618617058fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #32: + 0x150582 (0x55e2a403c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55e3eed0d2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #32: + 0x150582 (0x561861720582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55dd5a327c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55e3eed1aa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55e3eed0b8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x5618617058fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #54: + 0x211239 (0x55dd5a3ea239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #14: + 0x5ae6fa5 (0x7f92fcc38fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #34: + 0x150582 (0x561861720582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #55: _PyObject_MakeTpCall + 0x26b (0x55dd5a316a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #15: + 0x5124446 (0x7f92fc276446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x5618617058fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55e2a40218fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #16: + 0x1acf4b8 (0x7f92f8c214b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x56186170cf50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #34: + 0x150582 (0x55e2a403c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #17: + 0x5aee004 (0x7f92fcc40004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #37: _PyObject_Call_Prepend + 0x69 (0x56186171ec39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #56: _PyEval_EvalFrameDefault + 0x5723 (0x55dd5a312c53 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #18: + 0x5af36b5 (0x7f92fcc456b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #38: + 0x211239 (0x5618617e1239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #57: + 0x150582 (0x55dd5a329582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #19: + 0xd2631e (0x7f930f82f31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default1]:[rank9]: frame #39: _PyObject_MakeTpCall + 0x26b (0x56186170da6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55e2a40218fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #20: + 0x47def4 (0x7f930ef86ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default1]:[rank9]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x5618617093e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55e2a4028f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #21: + 0x1445a6 (0x55d2662d95a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #41: _PyFunction_Vectorcall + 0x6c (0x561861714a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55dd5a30e8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55d2662d2a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x561861704c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #59: + 0x150582 (0x55dd5a329582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #23: + 0x150866 (0x55d2662e5866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #43: _PyFunction_Vectorcall + 0x6c (0x561861714a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55e2a403ac39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55d2662ce142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x5618617058fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #38: + 0x211239 (0x55e2a40fd239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55d2662d9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #45: + 0x150582 (0x561861720582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #60: PyObject_Call + 0xbc (0x55dd5a329f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55dd5a3102b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #46: PyObject_Call + 0xbc (0x561861720f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x5618617072b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #30: + 0x150582 (0x55e3eed26582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #62: + 0x150582 (0x55dd5a329582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #63: PyObject_Call + 0xbc (0x55dd5a329f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55e3eed0b8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55e2a4029a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #26: PyObject_Call + 0xbc (0x55d2662e5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #48: + 0x150582 (0x561861720582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55e2a40253e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55d2662cc2b3 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. [default1]:[rank9]: frame #49: PyObject_Call + 0xbc (0x561861720f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x5618617072b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55e2a4030a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55e2a4020c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #51: _PyFunction_Vectorcall + 0x6c (0x561861714a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #32: + 0x150582 (0x55e3eed26582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55e2a4030a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55d2662d9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55d2662ca8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #30: + 0x150582 (0x55d2662e5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55e3eed0b8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55d2662ca8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #34: + 0x150582 (0x55e3eed26582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55e2a40218fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x56186170d007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #45: + 0x150582 (0x55e2a403c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55e3eed0b8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #32: + 0x150582 (0x55d2662e5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #53: _PyObject_Call_Prepend + 0x69 (0x56186171ec39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #46: PyObject_Call + 0xbc (0x55e2a403cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55e2a40232b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55d2662ca8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55e3eed12f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #48: + 0x150582 (0x55e2a403c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #54: + 0x211239 (0x5618617e1239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #34: + 0x150582 (0x55d2662e5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #55: PyObject_Call + 0x207 (0x561861721067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55e3eed24c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55d2662ca8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #49: PyObject_Call + 0xbc (0x55e2a403cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x5618617072b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #38: + 0x211239 (0x55e3eede7239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55d2662d1f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55e2a40232b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #57: + 0x150582 (0x561861720582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55e3eed13a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55d2662e3c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55e2a4030a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x5618617058fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55e3eed0f3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #38: + 0x211239 (0x55d2663a6239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55e2a4029007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #59: + 0x150582 (0x561861720582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55e3eed1aa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55d2662d2a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55e2a403ac39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55e3eed0ac5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #60: PyObject_Call + 0xbc (0x561861720f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55d2662ce3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #54: + 0x211239 (0x55e2a40fd239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55e3eed1aa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x5618617072b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55d2662d9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #55: _PyObject_MakeTpCall + 0x26b (0x55e2a4029a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55e3eed0b8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #62: + 0x150582 (0x561861720582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55d2662c9c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #56: _PyEval_EvalFrameDefault + 0x5723 (0x55e2a4025c53 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #45: + 0x150582 (0x55e3eed26582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55d2662d9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #57: + 0x150582 (0x55e2a403c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #63: PyObject_Call + 0xbc (0x561861720f1c 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. [default7]:[rank15]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55e2a40218fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55d2662ca8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #59: + 0x150582 (0x55e2a403c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #45: + 0x150582 (0x55d2662e5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #60: PyObject_Call + 0xbc (0x55e2a403cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #46: PyObject_Call + 0xbc (0x55d2662e5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55e2a40232b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55d2662cc2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #62: + 0x150582 (0x55e2a403c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #63: PyObject_Call + 0xbc (0x55e2a403cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #48: + 0x150582 (0x55d2662e5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #46: PyObject_Call + 0xbc (0x55e3eed26f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: . This may indicate a possible application crash on rank 0 or a network set up issue. [default3]:[rank11]: frame #49: PyObject_Call + 0xbc (0x55d2662e5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55d2662cc2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55d2662d9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55d2662d2007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55e3eed0d2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55d2662e3c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #54: + 0x211239 (0x55d2663a6239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #55: PyObject_Call + 0x207 (0x55d2662e6067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55d2662cc2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #48: + 0x150582 (0x55e3eed26582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #57: + 0x150582 (0x55d2662e5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #49: PyObject_Call + 0xbc (0x55e3eed26f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55d2662ca8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55e3eed0d2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #59: + 0x150582 (0x55d2662e5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55e3eed1aa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #60: PyObject_Call + 0xbc (0x55d2662e5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55e3eed13007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55d2662cc2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55e3eed24c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #54: + 0x211239 (0x55e3eede7239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #62: + 0x150582 (0x55d2662e5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #55: PyObject_Call + 0x207 (0x55e3eed27067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #63: PyObject_Call + 0xbc (0x55d2662e5f1c 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. [default5]:[rank13]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55e3eed0d2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #57: + 0x150582 (0x55e3eed26582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55e3eed0b8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #59: + 0x150582 (0x55e3eed26582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #60: PyObject_Call + 0xbc (0x55e3eed26f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55e3eed0d2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #62: + 0x150582 (0x55e3eed26582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #63: PyObject_Call + 0xbc (0x55e3eed26f1c 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. [default5]:[rank5]: trainer.train(dataloader) [default7]:[rank7]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fe99eebb371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7fe9666c8189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default4]:[rank4]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fc56875d371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default5]:[rank5]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default3]:[rank3]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default4]:[rank4]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7fc52ff6a189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default5]:[rank5]: outputs = self.pipeline_engine.train_batch_iter( [default4]:[rank4]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7fc52ff71610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default4]:[rank4]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7fc52ff90978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default6]:[rank6]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default3]:[rank3]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default4]:[rank4]: frame #12: + 0x5adc309 (0x7fc56874f309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default3]:[rank3]: dist.recv( [default4]:[rank4]: frame #13: + 0x5ae6f10 (0x7fc568759f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7fe9666cf610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default7]:[rank7]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7fe9666ee978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default5]:[rank5]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default6]:[rank6]: dist.recv( [default7]:[rank7]: frame #12: + 0x5adc309 (0x7fe99eead309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #13: + 0x5ae6f10 (0x7fe99eeb7f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default5]:[rank5]: output = model(**micro_batch) [default4]:[rank4]: frame #14: + 0x5ae6fa5 (0x7fc568759fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank4]: frame #15: + 0x5124446 (0x7fc567d97446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank4]: frame #16: + 0x1acf4b8 (0x7fc5647424b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: 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]:[rank3]: return func(*args, **kwargs) [default4]:[rank4]: frame #17: + 0x5aee004 (0x7fc568761004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #14: + 0x5ae6fa5 (0x7fe99eeb7fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #15: + 0x5124446 (0x7fe99e4f5446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: return self._call_impl(*args, **kwargs) [default6]:[rank6]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default4]:[rank4]: frame #18: + 0x5af36b5 (0x7fc5687666b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank4]: frame #19: + 0xd2631e (0x7fc57b35031e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default4]:[rank4]: frame #20: + 0x47def4 (0x7fc57aaa7ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default6]:[rank6]: return func(*args, **kwargs) [default3]:[rank3]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [default5]:[rank5]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default6]:[rank6]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [default4]:[rank4]: frame #21: + 0x1445a6 (0x5585e32ee5a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #16: + 0x1acf4b8 (0x7fe99aea04b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: pg.recv([tensor], group_src_rank, tag).wait() [default4]:[rank4]: frame #22: _PyObject_MakeTpCall + 0x26b (0x5585e32e7a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #23: + 0x150866 (0x5585e32fa866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: return forward_call(*args, **kwargs) [default3]:[rank3]: pg.recv([tensor], group_src_rank, tag).wait() [default4]:[rank4]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x5585e32e3142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #25: _PyFunction_Vectorcall + 0x6c (0x5585e32eea2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #17: + 0x5aee004 (0x7fe99eebf004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: torch.distributed.DistBackendError: [3] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '2:3', but store->get('2:3') got error: Connection reset by peer [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default6]:[rank6]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default5]:[rank5]: sharded_logits = self.model( [default7]:[rank7]: frame #18: + 0x5af36b5 (0x7fe99eec46b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #19: + 0xd2631e (0x7fe9b1aae31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default4]:[rank4]: frame #26: PyObject_Call + 0xbc (0x5585e32faf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x5585e32e12b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f61fd372897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default6]:[rank6]: frame #1: + 0x5b3a23e (0x7f6236e8f23e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank4]: frame #28: _PyFunction_Vectorcall + 0x6c (0x5585e32eea2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #20: + 0x47def4 (0x7fe9b1205ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default4]:[rank4]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x5585e32df8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: torch.distributed.DistBackendError: [1] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '0:1', but store->get('0:1') got error: Connection reset by peer [default3]:[rank3]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default6]:[rank6]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7f6236e89c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f6236e89f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: 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]:[rank5]: return self._call_impl(*args, **kwargs) [default7]:[rank7]: frame #21: + 0x1445a6 (0x5644d5b145a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #22: _PyObject_MakeTpCall + 0x26b (0x5644d5b0da6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fb6b52e2897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default4]:[rank4]: frame #30: + 0x150582 (0x5585e32fa582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default5]:[rank5]: return forward_call(*args, **kwargs) [default7]:[rank7]: frame #23: + 0x150866 (0x5644d5b20866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f6236e8afd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: frame #1: + 0x5b3a23e (0x7fb6eedff23e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x5644d5b09142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f6236e3f371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank4]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x5585e32df8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default3]:[rank3]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7fb6eedf9c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7fb6eedf9f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7fb6eedfafd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default4]:[rank4]: frame #32: + 0x150582 (0x5585e32fa582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f6236e3f371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fb6eedaf371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f6236e3f371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank4]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x5585e32df8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default3]:[rank3]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fb6eedaf371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fb6eedaf371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank4]: frame #34: + 0x150582 (0x5585e32fa582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default3]:[rank3]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fb6eedaf371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank4]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x5585e32df8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #25: _PyFunction_Vectorcall + 0x6c (0x5644d5b14a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #26: PyObject_Call + 0xbc (0x5644d5b20f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default7]:[rank7]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x5644d5b072b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #28: _PyFunction_Vectorcall + 0x6c (0x5644d5b14a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7fb6b65bc189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default4]:[rank4]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x5585e32e6f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: return self._call_impl(*args, **kwargs) [default5]:[rank5]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default5]:[rank5]: return forward_call(*args, **kwargs) [default4]:[rank4]: frame #37: _PyObject_Call_Prepend + 0x69 (0x5585e32f8c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #38: + 0x211239 (0x5585e33bb239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [default3]:[rank3]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7fb6b65c3610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default4]:[rank4]: frame #39: _PyObject_MakeTpCall + 0x26b (0x5585e32e7a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x5585e32e33e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x5644d5b058fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f6236e3f371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank4]: frame #41: _PyFunction_Vectorcall + 0x6c (0x5585e32eea2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #30: + 0x150582 (0x5644d5b20582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer [default7]:[rank7]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x5644d5b058fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #32: + 0x150582 (0x5644d5b20582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7fb6b65e2978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default3]:[rank3]: frame #12: + 0x5adc309 (0x7fb6eeda1309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x5644d5b058fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #34: + 0x150582 (0x5644d5b20582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: pipeline_state.run_communication() [default7]:[rank7]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x5644d5b058fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x5644d5b0cf50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x5585e32dec5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #13: + 0x5ae6f10 (0x7fb6eedabf10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #37: _PyObject_Call_Prepend + 0x69 (0x5644d5b1ec39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #43: _PyFunction_Vectorcall + 0x6c (0x5585e32eea2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x5585e32df8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #14: + 0x5ae6fa5 (0x7fb6eedabfa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: frame #15: + 0x5124446 (0x7fb6ee3e9446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank4]: frame #45: + 0x150582 (0x5585e32fa582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #46: PyObject_Call + 0xbc (0x5585e32faf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f61fe64c189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default5]:[rank5]: recv_activation_tensor = recv_activation() [default6]:[rank6]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f61fe653610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default3]:[rank3]: frame #16: + 0x1acf4b8 (0x7fb6ead944b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank4]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x5585e32e12b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #48: + 0x150582 (0x5585e32fa582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #17: + 0x5aee004 (0x7fb6eedb3004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: frame #18: + 0x5af36b5 (0x7fb6eedb86b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: frame #19: + 0xd2631e (0x7fb7019a231e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default7]:[rank7]: frame #38: + 0x211239 (0x5644d5be1239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #20: + 0x47def4 (0x7fb7010f9ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default5]:[rank5]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default4]:[rank4]: frame #49: PyObject_Call + 0xbc (0x5585e32faf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #21: + 0x1445a6 (0x5611d08fa5a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default4]:[rank4]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x5585e32e12b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #51: _PyFunction_Vectorcall + 0x6c (0x5585e32eea2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #22: _PyObject_MakeTpCall + 0x26b (0x5611d08f3a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default4]:[rank4]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x5585e32e7007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #53: _PyObject_Call_Prepend + 0x69 (0x5585e32f8c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #39: _PyObject_MakeTpCall + 0x26b (0x5644d5b0da6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default6]:[rank6]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7f61fe672978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default4]:[rank4]: frame #54: + 0x211239 (0x5585e33bb239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #55: PyObject_Call + 0x207 (0x5585e32fb067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #23: + 0x150866 (0x5611d0906866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #12: + 0x5adc309 (0x7f6236e31309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: frame #13: + 0x5ae6f10 (0x7f6236e3bf10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank4]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x5585e32e12b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x5611d08ef142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #14: + 0x5ae6fa5 (0x7f6236e3bfa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: frame #15: + 0x5124446 (0x7f6236479446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: dist.recv( [default7]:[rank7]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x5644d5b093e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #57: + 0x150582 (0x5585e32fa582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #16: + 0x1acf4b8 (0x7f6232e244b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: frame #17: + 0x5aee004 (0x7f6236e43004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: frame #18: + 0x5af36b5 (0x7f6236e486b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank4]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x5585e32df8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #59: + 0x150582 (0x5585e32fa582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #19: + 0xd2631e (0x7f6249a3231e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default6]:[rank6]: frame #20: + 0x47def4 (0x7f6249189ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default4]:[rank4]: frame #60: PyObject_Call + 0xbc (0x5585e32faf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x5585e32e12b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default5]:[rank5]: return func(*args, **kwargs) [default4]:[rank4]: frame #62: + 0x150582 (0x5585e32fa582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #63: PyObject_Call + 0xbc (0x5585e32faf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [default6]:[rank6]: frame #21: + 0x1445a6 (0x557703a495a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #41: _PyFunction_Vectorcall + 0x6c (0x5644d5b14a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: . This may indicate a possible application crash on rank 0 or a network set up issue. [default3]:[rank3]: frame #25: _PyFunction_Vectorcall + 0x6c (0x5611d08faa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: pg.recv([tensor], group_src_rank, tag).wait() [default6]:[rank6]: frame #22: _PyObject_MakeTpCall + 0x26b (0x557703a42a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #26: PyObject_Call + 0xbc (0x5611d0906f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x5644d5b04c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #43: _PyFunction_Vectorcall + 0x6c (0x5644d5b14a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #23: + 0x150866 (0x557703a55866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x5611d08ed2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #28: _PyFunction_Vectorcall + 0x6c (0x5611d08faa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x557703a3e142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x5611d08eb8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #25: _PyFunction_Vectorcall + 0x6c (0x557703a49a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: torch.distributed.DistBackendError: [2] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '1:2', but store->get('1:2') got error: Connection reset by peer [default5]:[rank5]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default7]:[rank7]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x5644d5b058fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #26: PyObject_Call + 0xbc (0x557703a55f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x557703a3c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #30: + 0x150582 (0x5611d0906582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7ff3acd9f897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default6]:[rank6]: frame #28: _PyFunction_Vectorcall + 0x6c (0x557703a49a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x557703a3a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #1: + 0x5b3a23e (0x7ff3e68bc23e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #45: + 0x150582 (0x5644d5b20582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x5611d08eb8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #32: + 0x150582 (0x5611d0906582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #30: + 0x150582 (0x557703a55582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #46: PyObject_Call + 0xbc (0x5644d5b20f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x5611d08eb8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #34: + 0x150582 (0x5611d0906582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x557703a3a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x5644d5b072b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x5611d08eb8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x5611d08f2f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #48: + 0x150582 (0x5644d5b20582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7ff3e68b6c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7ff3e68b6f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #49: PyObject_Call + 0xbc (0x5644d5b20f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #37: _PyObject_Call_Prepend + 0x69 (0x5611d0904c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7ff3e68b7fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x5644d5b072b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #38: + 0x211239 (0x5611d09c7239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7ff3e686c371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: frame #32: + 0x150582 (0x557703a55582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x557703a3a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7ff3e686c371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7ff3e686c371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #51: _PyFunction_Vectorcall + 0x6c (0x5644d5b14a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x5644d5b0d007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #34: + 0x150582 (0x557703a55582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #39: _PyObject_MakeTpCall + 0x26b (0x5611d08f3a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7ff3e686c371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7ff3ae079189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default6]:[rank6]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x557703a3a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x5611d08ef3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #53: _PyObject_Call_Prepend + 0x69 (0x5644d5b1ec39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7ff3ae080610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default5]:[rank5]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7ff3ae09f978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default3]:[rank3]: frame #41: _PyFunction_Vectorcall + 0x6c (0x5611d08faa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x5611d08eac5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x557703a41f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #37: _PyObject_Call_Prepend + 0x69 (0x557703a53c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #38: + 0x211239 (0x557703b16239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #39: _PyObject_MakeTpCall + 0x26b (0x557703a42a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #43: _PyFunction_Vectorcall + 0x6c (0x5611d08faa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x557703a3e3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #54: + 0x211239 (0x5644d5be1239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x5611d08eb8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #45: + 0x150582 (0x5611d0906582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #46: PyObject_Call + 0xbc (0x5611d0906f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #12: + 0x5adc309 (0x7ff3e685e309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: frame #13: + 0x5ae6f10 (0x7ff3e6868f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #55: PyObject_Call + 0x207 (0x5644d5b21067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x5644d5b072b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #57: + 0x150582 (0x5644d5b20582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #14: + 0x5ae6fa5 (0x7ff3e6868fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: frame #15: + 0x5124446 (0x7ff3e5ea6446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: frame #41: _PyFunction_Vectorcall + 0x6c (0x557703a49a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x557703a39c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x5644d5b058fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x5611d08ed2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #48: + 0x150582 (0x5611d0906582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #59: + 0x150582 (0x5644d5b20582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #16: + 0x1acf4b8 (0x7ff3e28514b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: frame #17: + 0x5aee004 (0x7ff3e6870004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: frame #49: PyObject_Call + 0xbc (0x5611d0906f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x5611d08ed2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #43: _PyFunction_Vectorcall + 0x6c (0x557703a49a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x557703a3a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #45: + 0x150582 (0x557703a55582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #46: PyObject_Call + 0xbc (0x557703a55f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #51: _PyFunction_Vectorcall + 0x6c (0x5611d08faa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x557703a3c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #18: + 0x5af36b5 (0x7ff3e68756b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: frame #19: + 0xd2631e (0x7ff3f945f31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default6]:[rank6]: frame #48: + 0x150582 (0x557703a55582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x5611d08f3007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #20: + 0x47def4 (0x7ff3f8bb6ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default6]:[rank6]: frame #49: PyObject_Call + 0xbc (0x557703a55f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #53: _PyObject_Call_Prepend + 0x69 (0x5611d0904c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #21: + 0x1445a6 (0x5563224795a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #22: _PyObject_MakeTpCall + 0x26b (0x556322472a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #23: + 0x150866 (0x556322485866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #54: + 0x211239 (0x5611d09c7239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #55: PyObject_Call + 0x207 (0x5611d0907067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x557703a3c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #51: _PyFunction_Vectorcall + 0x6c (0x557703a49a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x5611d08ed2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #60: PyObject_Call + 0xbc (0x5644d5b20f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x5644d5b072b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #57: + 0x150582 (0x5611d0906582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55632246e142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #25: _PyFunction_Vectorcall + 0x6c (0x556322479a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x5611d08eb8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #59: + 0x150582 (0x5611d0906582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x557703a42007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #53: _PyObject_Call_Prepend + 0x69 (0x557703a53c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #62: + 0x150582 (0x5644d5b20582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #60: PyObject_Call + 0xbc (0x5611d0906f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x5611d08ed2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #62: + 0x150582 (0x5611d0906582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #26: PyObject_Call + 0xbc (0x556322485f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55632246c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #28: _PyFunction_Vectorcall + 0x6c (0x556322479a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #63: PyObject_Call + 0xbc (0x5611d0906f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #54: + 0x211239 (0x557703b16239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #63: PyObject_Call + 0xbc (0x5644d5b20f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #55: PyObject_Call + 0x207 (0x557703a56067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x557703a3c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: . This may indicate a possible application crash on rank 0 or a network set up issue. [default3]:[rank3]: . This may indicate a possible application crash on rank 0 or a network set up issue. [default6]:[rank6]: frame #57: + 0x150582 (0x557703a55582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55632246a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #30: + 0x150582 (0x556322485582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55632246a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #32: + 0x150582 (0x556322485582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x557703a3a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #59: + 0x150582 (0x557703a55582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #60: PyObject_Call + 0xbc (0x557703a55f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x557703a3c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55632246a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #34: + 0x150582 (0x556322485582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #62: + 0x150582 (0x557703a55582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #63: PyObject_Call + 0xbc (0x557703a55f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: . This may indicate a possible application crash on rank 0 or a network set up issue. [default5]:[rank5]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55632246a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x556322471f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #37: _PyObject_Call_Prepend + 0x69 (0x556322483c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #38: + 0x211239 (0x556322546239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #39: _PyObject_MakeTpCall + 0x26b (0x556322472a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55632246e3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #41: _PyFunction_Vectorcall + 0x6c (0x556322479a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x556322469c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #43: _PyFunction_Vectorcall + 0x6c (0x556322479a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55632246a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #45: + 0x150582 (0x556322485582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #46: PyObject_Call + 0xbc (0x556322485f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55632246c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #48: + 0x150582 (0x556322485582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #49: PyObject_Call + 0xbc (0x556322485f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55632246c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #51: _PyFunction_Vectorcall + 0x6c (0x556322479a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x556322472007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #53: _PyObject_Call_Prepend + 0x69 (0x556322483c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #54: + 0x211239 (0x556322546239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #55: PyObject_Call + 0x207 (0x556322486067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55632246c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #57: + 0x150582 (0x556322485582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55632246a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #59: + 0x150582 (0x556322485582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #60: PyObject_Call + 0xbc (0x556322485f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55632246c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #62: + 0x150582 (0x556322485582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #63: PyObject_Call + 0xbc (0x556322485f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: . This may indicate a possible application crash on rank 0 or a network set up issue. W0702 16:23:37.686000 140655429625664 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 2837938 closing signal SIGTERM W0702 16:23:37.686000 140655429625664 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 2837939 closing signal SIGTERM W0702 16:23:37.687000 140655429625664 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 2837940 closing signal SIGTERM W0702 16:23:37.687000 140655429625664 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 2837941 closing signal SIGTERM W0702 16:23:37.688000 140655429625664 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 2837942 closing signal SIGTERM W0702 16:23:37.689000 140655429625664 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 2837944 closing signal SIGTERM W0702 16:23:37.689000 140655429625664 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 2837945 closing signal SIGTERM W0702 16:23:37.694000 140582023915328 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 585214 closing signal SIGTERM E0702 16:23:39.108000 140582023915328 torch/distributed/elastic/multiprocessing/api.py:826] failed (exitcode: 1) local_rank: 0 (pid: 585213) 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_16:23:37 host : ip-26-0-167-177.ec2.internal rank : 2 (local_rank: 2) exitcode : 1 (pid: 585215) error_file: traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html [2]: time : 2024-07-02_16:23:37 host : ip-26-0-167-177.ec2.internal rank : 3 (local_rank: 3) exitcode : 1 (pid: 585216) error_file: traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html [3]: time : 2024-07-02_16:23:37 host : ip-26-0-167-177.ec2.internal rank : 4 (local_rank: 4) exitcode : 1 (pid: 585217) error_file: traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html [4]: time : 2024-07-02_16:23:37 host : ip-26-0-167-177.ec2.internal rank : 5 (local_rank: 5) exitcode : 1 (pid: 585218) error_file: traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html [5]: time : 2024-07-02_16:23:37 host : ip-26-0-167-177.ec2.internal rank : 6 (local_rank: 6) exitcode : 1 (pid: 585219) error_file: traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html [6]: time : 2024-07-02_16:23:37 host : ip-26-0-167-177.ec2.internal rank : 7 (local_rank: 7) exitcode : 1 (pid: 585220) 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_16:23:37 host : ip-26-0-167-177.ec2.internal rank : 0 (local_rank: 0) exitcode : 1 (pid: 585213) error_file: traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html ============================================================ srun: error: ip-26-0-167-177: task 0: Exited with exit code 1 E0702 16:23:39.503000 140655429625664 torch/distributed/elastic/multiprocessing/api.py:826] failed (exitcode: 1) local_rank: 5 (pid: 2837943) of binary: /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10 W0702 16:23:39.509000 140655429625664 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1203] The node 'ip-26-0-170-31.ec2.internal_2837869_0' has failed to shutdown the rendezvous 'none' due to an error of type RendezvousConnectionError. W0702 16:23:39.539000 140655429625664 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1203] The node 'ip-26-0-170-31.ec2.internal_2837869_0' has failed to shutdown the rendezvous 'none' due to an error of type RendezvousConnectionError. W0702 16:23:39.548000 140655429625664 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1203] The node 'ip-26-0-170-31.ec2.internal_2837869_0' has failed to shutdown the rendezvous 'none' due to an error of type RendezvousConnectionError. Traceback (most recent call last): File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/torchrun", line 8, in 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: ------------------------------------------------------------ Root Cause (first observed failure): [0]: time : 2024-07-02_16:23:37 host : ip-26-0-170-31.ec2.internal rank : 13 (local_rank: 5) exitcode : 1 (pid: 2837943) error_file: traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html ============================================================ srun: error: ip-26-0-170-31: 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.