| ======================== | |
| START TIME: Wed Jul 3 21:44:04 UTC 2024 | |
| python3 version = Python 3.10.14 | |
| ======================== | |
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| 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 | |
| W0703 21:44:06.877000 140656272729920 torch/distributed/run.py:757] | |
| W0703 21:44:06.877000 140656272729920 torch/distributed/run.py:757] ***************************************** | |
| W0703 21:44:06.877000 140656272729920 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. | |
| W0703 21:44:06.877000 140656272729920 torch/distributed/run.py:757] ***************************************** | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: Config: | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: Config(general=GeneralArgs(project='bench_cluster', | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: run='%date_%jobid', | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: seed=42, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: step=None, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: consumed_train_samples=None, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: benchmark_csv_path=None, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: ignore_sanity_checks=True), | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: parallelism=ParallelismArgs(dp=1, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: pp=8, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: tp=1, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: pp_engine=<nanotron.parallel.pipeline_parallel.engine.OneForwardOneBackwardPipelineEngine object at 0x7f03ccbd48e0>, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: tp_mode=<TensorParallelLinearMode.REDUCE_SCATTER: 2>, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: tp_linear_async_communication=False, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: expert_parallel_size=1), | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: model=ModelArgs(model_config=LlamaConfig(bos_token_id=1, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: eos_token_id=2, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: hidden_act='silu', | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: hidden_size=2048, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: initializer_range=0.02, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: intermediate_size=4096, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: is_llama_config=True, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: max_position_embeddings=4096, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: num_attention_heads=32, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: num_hidden_layers=24, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: num_key_value_heads=32, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: pad_token_id=None, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: pretraining_tp=1, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: rms_norm_eps=1e-05, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: rope_scaling=None, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: rope_theta=10000.0, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: tie_word_embeddings=True, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: use_cache=True, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: vocab_size=50257), | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: init_method=RandomInit(std=0.025), | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: dtype=torch.bfloat16, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: make_vocab_size_divisible_by=1, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: ddp_bucket_cap_mb=25), | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: tokenizer=TokenizerArgs(tokenizer_name_or_path='openai-community/gpt2', | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: tokenizer_revision=None, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: tokenizer_max_length=None), | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: checkpoints=CheckpointsArgs(checkpoints_path=Path('/dev/null'), | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: checkpoint_interval=100000, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: save_initial_state=False, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: resume_checkpoint_path=None, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: checkpoints_path_is_shared_file_system=False), | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: logging=LoggingArgs(log_level='info', | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: log_level_replica='info', | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: iteration_step_info_interval=1), | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: tokens=TokensArgs(sequence_length=4096, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: train_steps=20, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: micro_batch_size=32, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: batch_accumulation_per_replica=32, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: val_check_interval=-1, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: limit_val_batches=0, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: limit_test_batches=0), | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: optimizer=OptimizerArgs(optimizer_factory=AdamWOptimizerArgs(adam_eps=1e-08, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: adam_beta1=0.9, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: adam_beta2=0.95, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: torch_adam_is_fused=True, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: name='adamW'), | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: zero_stage=1, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: weight_decay=0.01, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: clip_grad=1.0, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: accumulate_grad_in_fp32=True, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: learning_rate_scheduler=LRSchedulerArgs(learning_rate=0.0001, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: lr_warmup_steps=1, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: lr_warmup_style='linear', | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: lr_decay_style='linear', | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: lr_decay_steps=19, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: lr_decay_starting_step=None, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: min_decay_lr=1e-05)), | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: data_stages=[DatasetStageArgs(name='Training Stage', | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: start_training_step=1, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: data=DataArgs(dataset=PretrainDatasetsArgs(hf_dataset_or_datasets='roneneldan/TinyStories', | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: hf_dataset_splits='train', | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: hf_dataset_config_name=None, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: dataset_processing_num_proc_per_process=64, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: dataset_overwrite_cache=False, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: text_column_name='text'), | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: seed=42, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: num_loading_workers=0))], | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: profiler=ProfilerArgs(profiler_export_path=Path('/fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-1_tp-1_pp-8_mbz-32')), | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: lighteval=None) | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: Model Config: | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: LlamaConfig(bos_token_id=1, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: eos_token_id=2, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: hidden_act='silu', | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: hidden_size=2048, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: initializer_range=0.02, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: intermediate_size=4096, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: is_llama_config=True, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: max_position_embeddings=4096, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: num_attention_heads=32, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: num_hidden_layers=24, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: num_key_value_heads=32, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: pad_token_id=None, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: pretraining_tp=1, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: rms_norm_eps=1e-05, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: rope_scaling=None, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: rope_theta=10000.0, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: tie_word_embeddings=True, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: use_cache=True, | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: vocab_size=50257) | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: Building model.. | |
| [default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: Setting PP block ranks... | |
| [default5]:07/03/2024 21:44:38 [INFO|DP=0|PP=5|TP=0|ip-26-0-163-220]: Local number of parameters: 126M (240.02MiB) | |
| [default1]:07/03/2024 21:44:38 [INFO|DP=0|PP=1|TP=0|ip-26-0-163-220]: Local number of parameters: 126M (240.02MiB) | |
| [default1]:07/03/2024 21:44:38 [INFO|DP=0|PP=1|TP=0|ip-26-0-163-220]: [After model building] Memory usage: 243.03MiB. Peak allocated: 245.06MiB Peak reserved: 262.00MiB | |
| [default1]:07/03/2024 21:44:38 [INFO|DP=0|PP=1|TP=0|ip-26-0-163-220]: No checkpoint path provided. | |
| [default5]:07/03/2024 21:44:38 [INFO|DP=0|PP=5|TP=0|ip-26-0-163-220]: [After model building] Memory usage: 243.03MiB. Peak allocated: 245.06MiB Peak reserved: 262.00MiB | |
| [default5]:07/03/2024 21:44:38 [INFO|DP=0|PP=5|TP=0|ip-26-0-163-220]: No checkpoint path provided. | |
| [default3]:07/03/2024 21:44:38 [INFO|DP=0|PP=3|TP=0|ip-26-0-163-220]: Local number of parameters: 168M (320.03MiB) | |
| [default3]:07/03/2024 21:44:38 [INFO|DP=0|PP=3|TP=0|ip-26-0-163-220]: [After model building] Memory usage: 324.04MiB. Peak allocated: 326.07MiB Peak reserved: 336.00MiB | |
| [default6]:07/03/2024 21:44:38 [INFO|DP=0|PP=6|TP=0|ip-26-0-163-220]: Local number of parameters: 168M (320.03MiB) | |
| [default6]:07/03/2024 21:44:38 [INFO|DP=0|PP=6|TP=0|ip-26-0-163-220]: [After model building] Memory usage: 324.04MiB. Peak allocated: 326.07MiB Peak reserved: 336.00MiB | |
| [default0]:07/03/2024 21:44:38 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: Total number of parameters: 1.21G (2312.82MiB) | |
| [default0]:07/03/2024 21:44:38 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: Local number of parameters: 271M (516.35MiB) | |
| [default6]:07/03/2024 21:44:38 [INFO|DP=0|PP=6|TP=0|ip-26-0-163-220]: No checkpoint path provided. | |
| [default0]:07/03/2024 21:44:38 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: [After model building] Memory usage: 520.36MiB. Peak allocated: 522.39MiB Peak reserved: 534.00MiB | |
| [default0]:07/03/2024 21:44:38 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: No checkpoint path provided. | |
| [default0]:07/03/2024 21:44:38 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: Parametrizing model parameters using StandardParametrizator | |
| [default3]:07/03/2024 21:44:38 [INFO|DP=0|PP=3|TP=0|ip-26-0-163-220]: No checkpoint path provided. | |
| [default7]:07/03/2024 21:44:38 [INFO|DP=0|PP=7|TP=0|ip-26-0-163-220]: Local number of parameters: 103M (196.32MiB) | |
| [default7]:07/03/2024 21:44:38 [INFO|DP=0|PP=7|TP=0|ip-26-0-163-220]: [After model building] Memory usage: 196.33MiB. Peak allocated: 196.33MiB Peak reserved: 200.00MiB | |
| [default7]:07/03/2024 21:44:38 [INFO|DP=0|PP=7|TP=0|ip-26-0-163-220]: No checkpoint path provided. | |
| [default2]:07/03/2024 21:44:38 [INFO|DP=0|PP=2|TP=0|ip-26-0-163-220]: Local number of parameters: 126M (240.02MiB) | |
| [default2]:07/03/2024 21:44:38 [INFO|DP=0|PP=2|TP=0|ip-26-0-163-220]: [After model building] Memory usage: 243.03MiB. Peak allocated: 245.06MiB Peak reserved: 262.00MiB | |
| [default2]:07/03/2024 21:44:38 [INFO|DP=0|PP=2|TP=0|ip-26-0-163-220]: No checkpoint path provided. | |
| [default4]:07/03/2024 21:44:38 [INFO|DP=0|PP=4|TP=0|ip-26-0-163-220]: Local number of parameters: 126M (240.02MiB) | |
| [default4]:07/03/2024 21:44:38 [INFO|DP=0|PP=4|TP=0|ip-26-0-163-220]: [After model building] Memory usage: 243.03MiB. Peak allocated: 245.06MiB Peak reserved: 262.00MiB | |
| [default4]:07/03/2024 21:44:38 [INFO|DP=0|PP=4|TP=0|ip-26-0-163-220]: No checkpoint path provided. | |
| [default0]:07/03/2024 21:44:39 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: [Optimizer Building] Using LearningRateForSP as learning rate | |
| [default0]:07/03/2024 21:44:39 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: [ZeRO sharding] Size of optimizer params per rank: | |
| [default0]:07/03/2024 21:44:39 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: [ZeRO sharding] DP Rank 0 has 271M out of 271M (100.00%) params' optimizer states | |
| [default0]:07/03/2024 21:44:39 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: [Training Plan] Stage Training Stage has 19 remaining training steps and has consumed 0 samples | |
| [default0]:07/03/2024 21:44:39 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: Using `datasets` library | |
| [default0]:07/03/2024 21:44:39 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: Loading tokenizer from openai-community/gpt2 and transformers/hf_hub versions ('4.41.2', '0.23.4') | |
| [default0]:Repo card metadata block was not found. Setting CardData to empty. | |
| [default0]:07/03/2024 21:44:40 [WARNING|DP=0|PP=0|TP=0|ip-26-0-163-220]: Repo card metadata block was not found. Setting CardData to empty. | |
| [default0]:07/03/2024 21:44:41 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: [Training Plan] There are 1 training stages | |
| [default0]:07/03/2024 21:44:41 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: [Stage Training Stage] start from step 1 | |
| [default0]:07/03/2024 21:44:41 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: | |
| [default0]:07/03/2024 21:44:41 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: [Start training] datetime: 2024-07-03 21:44:41.018009 | mbs: 32 | grad_accum: 32 | global_batch_size: 1024 | sequence_length: 4096 | train_steps: 20 | start_iteration_step: 0 | consumed_train_samples: 0 | |
| [default0]:07/03/2024 21:44:41 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: Resuming training from stage Training Stage, it has trained for 0 samples and has 19 remaining train steps | |
| [default0]:07/03/2024 21:44:41 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: Memory usage: 2585.75MiB. Peak allocated 2585.75MiB. Peak reserved: 2602.00MiB | |
| [default1]:07/03/2024 21:44:41 [WARNING|DP=0|PP=1|TP=0|ip-26-0-163-220]: Repo card metadata block was not found. Setting CardData to empty. | |
| [default6]:Repo card metadata block was not found. Setting CardData to empty. | |
| [default3]:07/03/2024 21:44:41 [WARNING|DP=0|PP=3|TP=0|ip-26-0-163-220]: Repo card metadata block was not found. Setting CardData to empty. | |
| [default7]:07/03/2024 21:44:41 [WARNING|DP=0|PP=7|TP=0|ip-26-0-163-220]: Repo card metadata block was not found. Setting CardData to empty. | |
| [default6]:07/03/2024 21:44:41 [WARNING|DP=0|PP=6|TP=0|ip-26-0-163-220]: Repo card metadata block was not found. Setting CardData to empty. | |
| [default4]:Repo card metadata block was not found. Setting CardData to empty. | |
| [default1]:Repo card metadata block was not found. Setting CardData to empty. | |
| [default4]:07/03/2024 21:44:41 [WARNING|DP=0|PP=4|TP=0|ip-26-0-163-220]: Repo card metadata block was not found. Setting CardData to empty. | |
| [default7]:Repo card metadata block was not found. Setting CardData to empty. | |
| [default3]:Repo card metadata block was not found. Setting CardData to empty. | |
| [default5]:07/03/2024 21:44:41 [WARNING|DP=0|PP=5|TP=0|ip-26-0-163-220]: Repo card metadata block was not found. Setting CardData to empty. | |
| [default2]:Repo card metadata block was not found. Setting CardData to empty. | |
| [default2]:07/03/2024 21:44:41 [WARNING|DP=0|PP=2|TP=0|ip-26-0-163-220]: Repo card metadata block was not found. Setting CardData to empty. | |
| [default5]: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 <module> | |
| [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 565, in forward | |
| [default0]:[rank0]: key_value_states = key_value_states.permute(1, 2, 0, 3, 4).contiguous() | |
| [default0]:[rank0]: torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 1024.00 MiB. GPU | |
| [default3]:[rank3]: Traceback (most recent call last): | |
| [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module> | |
| [default3]:[rank3]: trainer.train(dataloader) | |
| [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train | |
| [default3]:[rank3]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) | |
| [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step | |
| [default3]:[rank3]: outputs = self.pipeline_engine.train_batch_iter( | |
| [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter | |
| [default3]:[rank3]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) | |
| [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward | |
| [default3]:[rank3]: output = model(**micro_batch) | |
| [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]:[rank3]: 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 forward_call(*args, **kwargs) | |
| [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( | |
| [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]:[rank3]: 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 forward_call(*args, **kwargs) | |
| [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward | |
| [default3]:[rank3]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] | |
| [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states | |
| [default3]:[rank3]: 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]:[rank3]: 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 forward_call(*args, **kwargs) | |
| [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward | |
| [default3]:[rank3]: new_kwargs[name] = recv_from_pipeline_state_buffer( | |
| [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 | |
| [default3]:[rank3]: pipeline_state.run_communication() | |
| [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication | |
| [default3]:[rank3]: recv_activation_tensor = recv_activation() | |
| [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ | |
| [default3]:[rank3]: 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/p2p.py", line 353, in recv_tensors | |
| [default3]:[rank3]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) | |
| [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors | |
| [default3]:[rank3]: meta = self._recv_meta(from_rank=from_rank, tag=tag) | |
| [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( | |
| [default3]:[rank3]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper | |
| [default3]:[rank3]: 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 | |
| [default3]:[rank3]: pg.recv([tensor], group_src_rank, tag).wait() | |
| [default3]:[rank3]: 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 | |
| [default3]:[rank3]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): | |
| [default3]:[rank3]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f111c4d0897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) | |
| [default3]:[rank3]: frame #1: <unknown function> + 0x5b3a23e (0x7f1155fed23e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default3]:[rank3]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f1155fe7c87 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 (0x7f1155fe7f82 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 (0x7f1155fe8fd1 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 (0x7f1155f9d371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default3]:[rank3]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f1155f9d371 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 (0x7f1155f9d371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default3]:[rank3]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f1155f9d371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default3]:[rank3]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f111d7aa189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) | |
| [default3]:[rank3]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f111d7b1610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) | |
| [default3]:[rank3]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f111d7d0978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) | |
| [default3]:[rank3]: frame #12: <unknown function> + 0x5adc309 (0x7f1155f8f309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default3]:[rank3]: frame #13: <unknown function> + 0x5ae6f10 (0x7f1155f99f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default3]:[rank3]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f1155f99fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default3]:[rank3]: frame #15: <unknown function> + 0x5124446 (0x7f11555d7446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default3]:[rank3]: frame #16: <unknown function> + 0x1acf4b8 (0x7f1151f824b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default3]:[rank3]: frame #17: <unknown function> + 0x5aee004 (0x7f1155fa1004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default3]:[rank3]: frame #18: <unknown function> + 0x5af36b5 (0x7f1155fa66b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default3]:[rank3]: frame #19: <unknown function> + 0xd2631e (0x7f1168b9031e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) | |
| [default3]:[rank3]: frame #20: <unknown function> + 0x47def4 (0x7f11682e7ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) | |
| [default3]:[rank3]: frame #21: <unknown function> + 0x1445a6 (0x55582e9c35a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55582e9bca6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #23: <unknown function> + 0x150866 (0x55582e9cf866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55582e9b8142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55582e9c3a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #26: PyObject_Call + 0xbc (0x55582e9cff1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55582e9b62b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55582e9c3a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55582e9b48fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #30: <unknown function> + 0x150582 (0x55582e9cf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55582e9b48fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #32: <unknown function> + 0x150582 (0x55582e9cf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55582e9b48fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #34: <unknown function> + 0x150582 (0x55582e9cf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55582e9b48fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55582e9bbf50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55582e9cdc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #38: <unknown function> + 0x211239 (0x55582ea90239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55582e9bca6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55582e9b83e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55582e9c3a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55582e9b3c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55582e9c3a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55582e9b48fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #45: <unknown function> + 0x150582 (0x55582e9cf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #46: PyObject_Call + 0xbc (0x55582e9cff1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55582e9b62b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #48: <unknown function> + 0x150582 (0x55582e9cf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #49: PyObject_Call + 0xbc (0x55582e9cff1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55582e9b62b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55582e9c3a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55582e9bc007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55582e9cdc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #54: <unknown function> + 0x211239 (0x55582ea90239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #55: PyObject_Call + 0x207 (0x55582e9d0067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55582e9b62b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #57: <unknown function> + 0x150582 (0x55582e9cf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55582e9b48fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #59: <unknown function> + 0x150582 (0x55582e9cf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #60: PyObject_Call + 0xbc (0x55582e9cff1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55582e9b62b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #62: <unknown function> + 0x150582 (0x55582e9cf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #63: PyObject_Call + 0xbc (0x55582e9cff1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: . This may indicate a possible application crash on rank 0 or a network set up issue. | |
| [default6]:[rank6]: Traceback (most recent call last): | |
| [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module> | |
| [default6]:[rank6]: trainer.train(dataloader) | |
| [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train | |
| [default6]:[rank6]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) | |
| [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step | |
| [default6]:[rank6]: outputs = self.pipeline_engine.train_batch_iter( | |
| [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter | |
| [default6]:[rank6]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) | |
| [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward | |
| [default6]:[rank6]: output = model(**micro_batch) | |
| [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 | |
| [default6]:[rank6]: return self._call_impl(*args, **kwargs) | |
| [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 | |
| [default6]:[rank6]: return forward_call(*args, **kwargs) | |
| [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward | |
| [default6]:[rank6]: sharded_logits = self.model( | |
| [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 | |
| [default6]:[rank6]: return self._call_impl(*args, **kwargs) | |
| [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 | |
| [default6]:[rank6]: return forward_call(*args, **kwargs) | |
| [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] | |
| [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states | |
| [default6]:[rank6]: hidden_encoder_states = encoder_block(**hidden_encoder_states) | |
| [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 | |
| [default6]:[rank6]: return self._call_impl(*args, **kwargs) | |
| [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 | |
| [default6]:[rank6]: return forward_call(*args, **kwargs) | |
| [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( | |
| [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() | |
| [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication | |
| [default6]:[rank6]: recv_activation_tensor = recv_activation() | |
| [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ | |
| [default6]:[rank6]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] | |
| [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors | |
| [default6]:[rank6]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) | |
| [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors | |
| [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 | |
| [default6]:[rank6]: dist.recv( | |
| [default6]:[rank6]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper | |
| [default6]:[rank6]: return func(*args, **kwargs) | |
| [default6]:[rank6]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv | |
| [default6]:[rank6]: pg.recv([tensor], group_src_rank, tag).wait() | |
| [default6]:[rank6]: 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]:[rank6]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): | |
| [default6]:[rank6]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fb057a4d897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) | |
| [default6]:[rank6]: frame #1: <unknown function> + 0x5b3a23e (0x7fb09156a23e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default6]:[rank6]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7fb091564c87 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 (0x7fb091564f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default6]:[rank6]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7fb091565fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default6]:[rank6]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fb09151a371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default6]:[rank6]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fb09151a371 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 (0x7fb09151a371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default6]:[rank6]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fb09151a371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default6]:[rank6]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7fb058d27189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) | |
| [default6]:[rank6]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7fb058d2e610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) | |
| [default6]:[rank6]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7fb058d4d978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) | |
| [default6]:[rank6]: frame #12: <unknown function> + 0x5adc309 (0x7fb09150c309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default6]:[rank6]: frame #13: <unknown function> + 0x5ae6f10 (0x7fb091516f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default6]:[rank6]: frame #14: <unknown function> + 0x5ae6fa5 (0x7fb091516fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default6]:[rank6]: frame #15: <unknown function> + 0x5124446 (0x7fb090b54446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default6]:[rank6]: frame #16: <unknown function> + 0x1acf4b8 (0x7fb08d4ff4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default6]:[rank6]: frame #17: <unknown function> + 0x5aee004 (0x7fb09151e004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default6]:[rank6]: frame #18: <unknown function> + 0x5af36b5 (0x7fb0915236b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default6]:[rank6]: frame #19: <unknown function> + 0xd2631e (0x7fb0a410d31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) | |
| [default6]:[rank6]: frame #20: <unknown function> + 0x47def4 (0x7fb0a3864ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) | |
| [default6]:[rank6]: frame #21: <unknown function> + 0x1445a6 (0x5590ae5e45a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #22: _PyObject_MakeTpCall + 0x26b (0x5590ae5dda6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #23: <unknown function> + 0x150866 (0x5590ae5f0866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x5590ae5d9142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #25: _PyFunction_Vectorcall + 0x6c (0x5590ae5e4a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #26: PyObject_Call + 0xbc (0x5590ae5f0f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x5590ae5d72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #28: _PyFunction_Vectorcall + 0x6c (0x5590ae5e4a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x5590ae5d58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #30: <unknown function> + 0x150582 (0x5590ae5f0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x5590ae5d58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #32: <unknown function> + 0x150582 (0x5590ae5f0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x5590ae5d58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #34: <unknown function> + 0x150582 (0x5590ae5f0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x5590ae5d58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x5590ae5dcf50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #37: _PyObject_Call_Prepend + 0x69 (0x5590ae5eec39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #38: <unknown function> + 0x211239 (0x5590ae6b1239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #39: _PyObject_MakeTpCall + 0x26b (0x5590ae5dda6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x5590ae5d93e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #41: _PyFunction_Vectorcall + 0x6c (0x5590ae5e4a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x5590ae5d4c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #43: _PyFunction_Vectorcall + 0x6c (0x5590ae5e4a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x5590ae5d58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #45: <unknown function> + 0x150582 (0x5590ae5f0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #46: PyObject_Call + 0xbc (0x5590ae5f0f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x5590ae5d72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #48: <unknown function> + 0x150582 (0x5590ae5f0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #49: PyObject_Call + 0xbc (0x5590ae5f0f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x5590ae5d72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #51: _PyFunction_Vectorcall + 0x6c (0x5590ae5e4a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x5590ae5dd007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #53: _PyObject_Call_Prepend + 0x69 (0x5590ae5eec39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #54: <unknown function> + 0x211239 (0x5590ae6b1239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #55: PyObject_Call + 0x207 (0x5590ae5f1067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x5590ae5d72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #57: <unknown function> + 0x150582 (0x5590ae5f0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x5590ae5d58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #59: <unknown function> + 0x150582 (0x5590ae5f0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #60: PyObject_Call + 0xbc (0x5590ae5f0f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x5590ae5d72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #62: <unknown function> + 0x150582 (0x5590ae5f0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #63: PyObject_Call + 0xbc (0x5590ae5f0f1c 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. | |
| [default4]:[rank4]: Traceback (most recent call last): | |
| [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module> | |
| [default4]:[rank4]: trainer.train(dataloader) | |
| [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train | |
| [default4]:[rank4]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) | |
| [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step | |
| [default4]:[rank4]: outputs = self.pipeline_engine.train_batch_iter( | |
| [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter | |
| [default4]:[rank4]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) | |
| [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward | |
| [default4]:[rank4]: output = model(**micro_batch) | |
| [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl | |
| [default4]:[rank4]: return self._call_impl(*args, **kwargs) | |
| [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl | |
| [default4]:[rank4]: return forward_call(*args, **kwargs) | |
| [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward | |
| [default4]:[rank4]: sharded_logits = self.model( | |
| [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl | |
| [default4]:[rank4]: return self._call_impl(*args, **kwargs) | |
| [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl | |
| [default4]:[rank4]: return forward_call(*args, **kwargs) | |
| [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward | |
| [default4]:[rank4]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] | |
| [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states | |
| [default4]:[rank4]: hidden_encoder_states = encoder_block(**hidden_encoder_states) | |
| [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl | |
| [default4]:[rank4]: return self._call_impl(*args, **kwargs) | |
| [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl | |
| [default4]:[rank4]: return forward_call(*args, **kwargs) | |
| [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward | |
| [default4]:[rank4]: new_kwargs[name] = recv_from_pipeline_state_buffer( | |
| [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 | |
| [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() | |
| [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ | |
| [default4]:[rank4]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] | |
| [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors | |
| [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 | |
| [default4]:[rank4]: meta = self._recv_meta(from_rank=from_rank, tag=tag) | |
| [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta | |
| [default4]:[rank4]: dist.recv( | |
| [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper | |
| [default4]:[rank4]: return func(*args, **kwargs) | |
| [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() | |
| [default4]:[rank4]: 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]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): | |
| [default4]:[rank4]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7feba0b87897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) | |
| [default4]:[rank4]: frame #1: <unknown function> + 0x5b3a23e (0x7febda6a423e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default4]:[rank4]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7febda69ec87 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 (0x7febda69ef82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default4]:[rank4]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7febda69ffd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default4]:[rank4]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7febda654371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default4]:[rank4]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7febda654371 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 (0x7febda654371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default4]:[rank4]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7febda654371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default4]:[rank4]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7feba1e61189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) | |
| [default4]:[rank4]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7feba1e68610 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<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7feba1e87978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) | |
| [default4]:[rank4]: frame #12: <unknown function> + 0x5adc309 (0x7febda646309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default4]:[rank4]: frame #13: <unknown function> + 0x5ae6f10 (0x7febda650f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default4]:[rank4]: frame #14: <unknown function> + 0x5ae6fa5 (0x7febda650fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default4]:[rank4]: frame #15: <unknown function> + 0x5124446 (0x7febd9c8e446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default4]:[rank4]: frame #16: <unknown function> + 0x1acf4b8 (0x7febd66394b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default4]:[rank4]: frame #17: <unknown function> + 0x5aee004 (0x7febda658004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default4]:[rank4]: frame #18: <unknown function> + 0x5af36b5 (0x7febda65d6b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default4]:[rank4]: frame #19: <unknown function> + 0xd2631e (0x7febed24731e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) | |
| [default4]:[rank4]: frame #20: <unknown function> + 0x47def4 (0x7febec99eef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) | |
| [default4]:[rank4]: frame #21: <unknown function> + 0x1445a6 (0x563d1e9355a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #22: _PyObject_MakeTpCall + 0x26b (0x563d1e92ea6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #23: <unknown function> + 0x150866 (0x563d1e941866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x563d1e92a142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #25: _PyFunction_Vectorcall + 0x6c (0x563d1e935a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #26: PyObject_Call + 0xbc (0x563d1e941f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x563d1e9282b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #28: _PyFunction_Vectorcall + 0x6c (0x563d1e935a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x563d1e9268fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #30: <unknown function> + 0x150582 (0x563d1e941582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x563d1e9268fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #32: <unknown function> + 0x150582 (0x563d1e941582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x563d1e9268fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #34: <unknown function> + 0x150582 (0x563d1e941582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x563d1e9268fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x563d1e92df50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #37: _PyObject_Call_Prepend + 0x69 (0x563d1e93fc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #38: <unknown function> + 0x211239 (0x563d1ea02239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #39: _PyObject_MakeTpCall + 0x26b (0x563d1e92ea6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x563d1e92a3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #41: _PyFunction_Vectorcall + 0x6c (0x563d1e935a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x563d1e925c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #43: _PyFunction_Vectorcall + 0x6c (0x563d1e935a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x563d1e9268fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #45: <unknown function> + 0x150582 (0x563d1e941582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #46: PyObject_Call + 0xbc (0x563d1e941f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x563d1e9282b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #48: <unknown function> + 0x150582 (0x563d1e941582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #49: PyObject_Call + 0xbc (0x563d1e941f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x563d1e9282b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #51: _PyFunction_Vectorcall + 0x6c (0x563d1e935a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x563d1e92e007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #53: _PyObject_Call_Prepend + 0x69 (0x563d1e93fc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #54: <unknown function> + 0x211239 (0x563d1ea02239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #55: PyObject_Call + 0x207 (0x563d1e942067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x563d1e9282b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #57: <unknown function> + 0x150582 (0x563d1e941582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x563d1e9268fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #59: <unknown function> + 0x150582 (0x563d1e941582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #60: PyObject_Call + 0xbc (0x563d1e941f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x563d1e9282b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #62: <unknown function> + 0x150582 (0x563d1e941582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #63: PyObject_Call + 0xbc (0x563d1e941f1c 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. | |
| [default7]:[rank7]: Traceback (most recent call last): | |
| [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module> | |
| [default7]:[rank7]: trainer.train(dataloader) | |
| [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train | |
| [default7]:[rank7]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) | |
| [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step | |
| [default7]:[rank7]: outputs = self.pipeline_engine.train_batch_iter( | |
| [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 278, in train_batch_iter | |
| [default7]:[rank7]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) | |
| [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward | |
| [default7]:[rank7]: output = model(**micro_batch) | |
| [default7]:[rank7]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl | |
| [default7]:[rank7]: return self._call_impl(*args, **kwargs) | |
| [default7]:[rank7]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl | |
| [default7]:[rank7]: return forward_call(*args, **kwargs) | |
| [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward | |
| [default7]:[rank7]: sharded_logits = self.model( | |
| [default7]:[rank7]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl | |
| [default7]:[rank7]: return self._call_impl(*args, **kwargs) | |
| [default7]:[rank7]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl | |
| [default7]:[rank7]: return forward_call(*args, **kwargs) | |
| [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward | |
| [default7]:[rank7]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] | |
| [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 782, in forward_with_hidden_states | |
| [default7]:[rank7]: hidden_states = self.final_layer_norm(input=hidden_encoder_states["hidden_states"])["hidden_states"] | |
| [default7]:[rank7]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl | |
| [default7]:[rank7]: return self._call_impl(*args, **kwargs) | |
| [default7]:[rank7]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl | |
| [default7]:[rank7]: return forward_call(*args, **kwargs) | |
| [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward | |
| [default7]:[rank7]: new_kwargs[name] = recv_from_pipeline_state_buffer( | |
| [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() | |
| [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() | |
| [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ | |
| [default7]:[rank7]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] | |
| [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors | |
| [default7]:[rank7]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) | |
| [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors | |
| [default7]:[rank7]: meta = self._recv_meta(from_rank=from_rank, tag=tag) | |
| [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta | |
| [default7]:[rank7]: dist.recv( | |
| [default7]:[rank7]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper | |
| [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]:[rank7]: pg.recv([tensor], group_src_rank, tag).wait() | |
| [default7]:[rank7]: torch.distributed.DistBackendError: [7] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '6:7', but store->get('6:7') got error: Connection reset by peer | |
| [default7]:[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 (0x7f2ead24c897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) | |
| [default7]:[rank7]: frame #1: <unknown function> + 0x5b3a23e (0x7f2ee6d6923e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default7]:[rank7]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f2ee6d63c87 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 (0x7f2ee6d63f82 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 (0x7f2ee6d64fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default7]:[rank7]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f2ee6d19371 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 (0x7f2ee6d19371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default7]:[rank7]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f2ee6d19371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default7]:[rank7]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f2ee6d19371 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 (0x7f2eae526189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) | |
| [default7]:[rank7]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f2eae52d610 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<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f2eae54c978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) | |
| [default7]:[rank7]: frame #12: <unknown function> + 0x5adc309 (0x7f2ee6d0b309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default7]:[rank7]: frame #13: <unknown function> + 0x5ae6f10 (0x7f2ee6d15f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default7]:[rank7]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f2ee6d15fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default7]:[rank7]: frame #15: <unknown function> + 0x5124446 (0x7f2ee6353446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default7]:[rank7]: frame #16: <unknown function> + 0x1acf4b8 (0x7f2ee2cfe4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default7]:[rank7]: frame #17: <unknown function> + 0x5aee004 (0x7f2ee6d1d004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default7]:[rank7]: frame #18: <unknown function> + 0x5af36b5 (0x7f2ee6d226b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default7]:[rank7]: frame #19: <unknown function> + 0xd2631e (0x7f2ef990c31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) | |
| [default7]:[rank7]: frame #20: <unknown function> + 0x47def4 (0x7f2ef9063ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) | |
| [default7]:[rank7]: frame #21: <unknown function> + 0x1445a6 (0x55fd21a365a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55fd21a2fa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #23: <unknown function> + 0x150866 (0x55fd21a42866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55fd21a2b142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55fd21a36a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #26: PyObject_Call + 0xbc (0x55fd21a42f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55fd21a292b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55fd21a36a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55fd21a278fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #30: <unknown function> + 0x150582 (0x55fd21a42582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55fd21a278fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #32: <unknown function> + 0x150582 (0x55fd21a42582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55fd21a278fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #34: <unknown function> + 0x150582 (0x55fd21a42582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55fd21a278fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55fd21a2ef50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55fd21a40c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #38: <unknown function> + 0x211239 (0x55fd21b03239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55fd21a2fa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55fd21a2b3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55fd21a36a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55fd21a26c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55fd21a36a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55fd21a278fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #45: <unknown function> + 0x150582 (0x55fd21a42582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #46: PyObject_Call + 0xbc (0x55fd21a42f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55fd21a292b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #48: <unknown function> + 0x150582 (0x55fd21a42582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #49: PyObject_Call + 0xbc (0x55fd21a42f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55fd21a292b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55fd21a36a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55fd21a2f007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55fd21a40c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #54: <unknown function> + 0x211239 (0x55fd21b03239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #55: _PyObject_MakeTpCall + 0x26b (0x55fd21a2fa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #56: _PyEval_EvalFrameDefault + 0x5723 (0x55fd21a2bc53 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #57: <unknown function> + 0x150582 (0x55fd21a42582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55fd21a278fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #59: <unknown function> + 0x150582 (0x55fd21a42582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #60: PyObject_Call + 0xbc (0x55fd21a42f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55fd21a292b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #62: <unknown function> + 0x150582 (0x55fd21a42582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default7]:[rank7]: frame #63: PyObject_Call + 0xbc (0x55fd21a42f1c 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. | |
| [default2]:[rank2]: Traceback (most recent call last): | |
| [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module> | |
| [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 126, in forward | |
| [default2]:[rank2]: new_kwargs[name] = recv_from_pipeline_state_buffer( | |
| [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer | |
| [default2]:[rank2]: pipeline_state.run_communication() | |
| [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication | |
| [default2]:[rank2]: recv_activation_tensor = recv_activation() | |
| [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ | |
| [default2]:[rank2]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] | |
| [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors | |
| [default2]:[rank2]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) | |
| [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors | |
| [default2]:[rank2]: meta = self._recv_meta(from_rank=from_rank, tag=tag) | |
| [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta | |
| [default2]:[rank2]: dist.recv( | |
| [default2]:[rank2]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper | |
| [default2]:[rank2]: return func(*args, **kwargs) | |
| [default2]:[rank2]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv | |
| [default2]:[rank2]: pg.recv([tensor], group_src_rank, tag).wait() | |
| [default2]:[rank2]: torch.distributed.DistBackendError: [2] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '1:2', but store->get('1:2') got error: Connection reset by peer | |
| [default2]:[rank2]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): | |
| [default2]:[rank2]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f0ebb91a897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) | |
| [default2]:[rank2]: frame #1: <unknown function> + 0x5b3a23e (0x7f0ef543723e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default2]:[rank2]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f0ef5431c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default2]:[rank2]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f0ef5431f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default2]:[rank2]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f0ef5432fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default2]:[rank2]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f0ef53e7371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default2]:[rank2]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f0ef53e7371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default2]:[rank2]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f0ef53e7371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default2]:[rank2]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f0ef53e7371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default2]:[rank2]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f0ebcbf4189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) | |
| [default2]:[rank2]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f0ebcbfb610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) | |
| [default2]:[rank2]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f0ebcc1a978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) | |
| [default2]:[rank2]: frame #12: <unknown function> + 0x5adc309 (0x7f0ef53d9309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default2]:[rank2]: frame #13: <unknown function> + 0x5ae6f10 (0x7f0ef53e3f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default2]:[rank2]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f0ef53e3fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default2]:[rank2]: frame #15: <unknown function> + 0x5124446 (0x7f0ef4a21446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default2]:[rank2]: frame #16: <unknown function> + 0x1acf4b8 (0x7f0ef13cc4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default2]:[rank2]: frame #17: <unknown function> + 0x5aee004 (0x7f0ef53eb004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default2]:[rank2]: frame #18: <unknown function> + 0x5af36b5 (0x7f0ef53f06b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default2]:[rank2]: frame #19: <unknown function> + 0xd2631e (0x7f0f07fda31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) | |
| [default2]:[rank2]: frame #20: <unknown function> + 0x47def4 (0x7f0f07731ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) | |
| [default2]:[rank2]: frame #21: <unknown function> + 0x1445a6 (0x561a7d1a95a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #22: _PyObject_MakeTpCall + 0x26b (0x561a7d1a2a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #23: <unknown function> + 0x150866 (0x561a7d1b5866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x561a7d19e142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #25: _PyFunction_Vectorcall + 0x6c (0x561a7d1a9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #26: PyObject_Call + 0xbc (0x561a7d1b5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x561a7d19c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #28: _PyFunction_Vectorcall + 0x6c (0x561a7d1a9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x561a7d19a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #30: <unknown function> + 0x150582 (0x561a7d1b5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x561a7d19a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #32: <unknown function> + 0x150582 (0x561a7d1b5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x561a7d19a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #34: <unknown function> + 0x150582 (0x561a7d1b5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x561a7d19a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x561a7d1a1f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #37: _PyObject_Call_Prepend + 0x69 (0x561a7d1b3c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #38: <unknown function> + 0x211239 (0x561a7d276239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #39: _PyObject_MakeTpCall + 0x26b (0x561a7d1a2a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x561a7d19e3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #41: _PyFunction_Vectorcall + 0x6c (0x561a7d1a9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x561a7d199c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #43: _PyFunction_Vectorcall + 0x6c (0x561a7d1a9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x561a7d19a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #45: <unknown function> + 0x150582 (0x561a7d1b5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #46: PyObject_Call + 0xbc (0x561a7d1b5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x561a7d19c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #48: <unknown function> + 0x150582 (0x561a7d1b5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #49: PyObject_Call + 0xbc (0x561a7d1b5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x561a7d19c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #51: _PyFunction_Vectorcall + 0x6c (0x561a7d1a9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x561a7d1a2007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #53: _PyObject_Call_Prepend + 0x69 (0x561a7d1b3c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #54: <unknown function> + 0x211239 (0x561a7d276239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #55: PyObject_Call + 0x207 (0x561a7d1b6067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x561a7d19c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #57: <unknown function> + 0x150582 (0x561a7d1b5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x561a7d19a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #59: <unknown function> + 0x150582 (0x561a7d1b5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #60: PyObject_Call + 0xbc (0x561a7d1b5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x561a7d19c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #62: <unknown function> + 0x150582 (0x561a7d1b5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #63: PyObject_Call + 0xbc (0x561a7d1b5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: . This may indicate a possible application crash on rank 0 or a network set up issue. | |
| [default5]:[rank5]: Traceback (most recent call last): | |
| [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module> | |
| [default5]:[rank5]: trainer.train(dataloader) | |
| [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) | |
| [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step | |
| [default5]:[rank5]: outputs = self.pipeline_engine.train_batch_iter( | |
| [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter | |
| [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 | |
| [default5]:[rank5]: output = model(**micro_batch) | |
| [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) | |
| [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) | |
| [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward | |
| [default5]:[rank5]: sharded_logits = self.model( | |
| [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) | |
| [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) | |
| [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward | |
| [default5]:[rank5]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] | |
| [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states | |
| [default5]:[rank5]: hidden_encoder_states = encoder_block(**hidden_encoder_states) | |
| [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) | |
| [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) | |
| [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward | |
| [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 | |
| [default5]:[rank5]: pipeline_state.run_communication() | |
| [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() | |
| [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ | |
| [default5]:[rank5]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] | |
| [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors | |
| [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 | |
| [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 | |
| [default5]:[rank5]: dist.recv( | |
| [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) | |
| [default5]:[rank5]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv | |
| [default5]:[rank5]: pg.recv([tensor], group_src_rank, tag).wait() | |
| [default5]:[rank5]: 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]:[rank5]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): | |
| [default5]:[rank5]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f628a2ba897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) | |
| [default5]:[rank5]: frame #1: <unknown function> + 0x5b3a23e (0x7f62c3dd723e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default5]:[rank5]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f62c3dd1c87 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 (0x7f62c3dd1f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default5]:[rank5]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f62c3dd2fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default5]:[rank5]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f62c3d87371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default5]:[rank5]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f62c3d87371 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 (0x7f62c3d87371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default5]:[rank5]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f62c3d87371 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 (0x7f628b594189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) | |
| [default5]:[rank5]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f628b59b610 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<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f628b5ba978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) | |
| [default5]:[rank5]: frame #12: <unknown function> + 0x5adc309 (0x7f62c3d79309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default5]:[rank5]: frame #13: <unknown function> + 0x5ae6f10 (0x7f62c3d83f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default5]:[rank5]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f62c3d83fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default5]:[rank5]: frame #15: <unknown function> + 0x5124446 (0x7f62c33c1446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default5]:[rank5]: frame #16: <unknown function> + 0x1acf4b8 (0x7f62bfd6c4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default5]:[rank5]: frame #17: <unknown function> + 0x5aee004 (0x7f62c3d8b004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default5]:[rank5]: frame #18: <unknown function> + 0x5af36b5 (0x7f62c3d906b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) | |
| [default5]:[rank5]: frame #19: <unknown function> + 0xd2631e (0x7f62d697a31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) | |
| [default5]:[rank5]: frame #20: <unknown function> + 0x47def4 (0x7f62d60d1ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) | |
| [default5]:[rank5]: frame #21: <unknown function> + 0x1445a6 (0x557ab1d005a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #22: _PyObject_MakeTpCall + 0x26b (0x557ab1cf9a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #23: <unknown function> + 0x150866 (0x557ab1d0c866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x557ab1cf5142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #25: _PyFunction_Vectorcall + 0x6c (0x557ab1d00a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #26: PyObject_Call + 0xbc (0x557ab1d0cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x557ab1cf32b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #28: _PyFunction_Vectorcall + 0x6c (0x557ab1d00a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x557ab1cf18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #30: <unknown function> + 0x150582 (0x557ab1d0c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x557ab1cf18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #32: <unknown function> + 0x150582 (0x557ab1d0c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x557ab1cf18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #34: <unknown function> + 0x150582 (0x557ab1d0c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x557ab1cf18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x557ab1cf8f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #37: _PyObject_Call_Prepend + 0x69 (0x557ab1d0ac39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #38: <unknown function> + 0x211239 (0x557ab1dcd239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #39: _PyObject_MakeTpCall + 0x26b (0x557ab1cf9a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x557ab1cf53e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #41: _PyFunction_Vectorcall + 0x6c (0x557ab1d00a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x557ab1cf0c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #43: _PyFunction_Vectorcall + 0x6c (0x557ab1d00a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x557ab1cf18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #45: <unknown function> + 0x150582 (0x557ab1d0c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #46: PyObject_Call + 0xbc (0x557ab1d0cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x557ab1cf32b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #48: <unknown function> + 0x150582 (0x557ab1d0c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #49: PyObject_Call + 0xbc (0x557ab1d0cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x557ab1cf32b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #51: _PyFunction_Vectorcall + 0x6c (0x557ab1d00a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x557ab1cf9007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #53: _PyObject_Call_Prepend + 0x69 (0x557ab1d0ac39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #54: <unknown function> + 0x211239 (0x557ab1dcd239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #55: PyObject_Call + 0x207 (0x557ab1d0d067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x557ab1cf32b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #57: <unknown function> + 0x150582 (0x557ab1d0c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x557ab1cf18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #59: <unknown function> + 0x150582 (0x557ab1d0c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #60: PyObject_Call + 0xbc (0x557ab1d0cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x557ab1cf32b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #62: <unknown function> + 0x150582 (0x557ab1d0c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #63: PyObject_Call + 0xbc (0x557ab1d0cf1c 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. | |
| W0703 21:44:47.263000 140656272729920 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 394658 closing signal SIGTERM | |
| W0703 21:44:47.263000 140656272729920 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 394659 closing signal SIGTERM | |
| W0703 21:44:47.263000 140656272729920 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 394660 closing signal SIGTERM | |
| W0703 21:44:47.265000 140656272729920 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 394661 closing signal SIGTERM | |
| W0703 21:44:47.265000 140656272729920 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 394662 closing signal SIGTERM | |
| W0703 21:44:47.266000 140656272729920 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 394663 closing signal SIGTERM | |
| W0703 21:44:47.266000 140656272729920 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 394664 closing signal SIGTERM | |
| E0703 21:44:48.575000 140656272729920 torch/distributed/elastic/multiprocessing/api.py:826] failed (exitcode: 1) local_rank: 0 (pid: 394657) of binary: /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10 | |
| Traceback (most recent call last): | |
| File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/torchrun", line 8, in <module> | |
| sys.exit(main()) | |
| File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 347, in wrapper | |
| return f(*args, **kwargs) | |
| File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 879, in main | |
| run(args) | |
| File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 870, in run | |
| elastic_launch( | |
| File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 132, in __call__ | |
| return launch_agent(self._config, self._entrypoint, list(args)) | |
| File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 263, in launch_agent | |
| raise ChildFailedError( | |
| torch.distributed.elastic.multiprocessing.errors.ChildFailedError: | |
| ============================================================ | |
| /fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py FAILED | |
| ------------------------------------------------------------ | |
| Failures: | |
| <NO_OTHER_FAILURES> | |
| ------------------------------------------------------------ | |
| Root Cause (first observed failure): | |
| [0]: | |
| time : 2024-07-03_21:44:47 | |
| host : ip-26-0-163-220.ec2.internal | |
| rank : 0 (local_rank: 0) | |
| exitcode : 1 (pid: 394657) | |
| error_file: <N/A> | |
| traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html | |
| ============================================================ | |
| srun: error: ip-26-0-163-220: task 0: 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. | |