| ======================== | |
| START TIME: Thu Jul 4 05:46:16 UTC 2024 | |
| python3 version = Python 3.10.14 | |
| ======================== | |
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| 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 | |
| W0704 05:46:25.235000 140521484924736 torch/distributed/run.py:757] | |
| W0704 05:46:25.235000 140521484924736 torch/distributed/run.py:757] ***************************************** | |
| W0704 05:46:25.235000 140521484924736 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. | |
| W0704 05:46:25.235000 140521484924736 torch/distributed/run.py:757] ***************************************** | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: Config: | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: Config(general=GeneralArgs(project='bench_cluster', | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: run='%date_%jobid', | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: seed=42, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: step=None, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: consumed_train_samples=None, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: benchmark_csv_path=None, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: ignore_sanity_checks=True), | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: parallelism=ParallelismArgs(dp=2, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: pp=4, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: tp=1, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: pp_engine=<nanotron.parallel.pipeline_parallel.engine.OneForwardOneBackwardPipelineEngine object at 0x7fc5974e0940>, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: tp_mode=<TensorParallelLinearMode.REDUCE_SCATTER: 2>, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: tp_linear_async_communication=False, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: expert_parallel_size=1), | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: model=ModelArgs(model_config=LlamaConfig(bos_token_id=1, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: eos_token_id=2, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: hidden_act='silu', | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: hidden_size=2048, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: initializer_range=0.02, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: intermediate_size=4096, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: is_llama_config=True, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: max_position_embeddings=4096, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: num_attention_heads=32, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: num_hidden_layers=24, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: num_key_value_heads=32, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: pad_token_id=None, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: pretraining_tp=1, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: rms_norm_eps=1e-05, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: rope_scaling=None, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: rope_theta=10000.0, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: tie_word_embeddings=True, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: use_cache=True, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: vocab_size=50257), | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: init_method=RandomInit(std=0.025), | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: dtype=torch.bfloat16, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: make_vocab_size_divisible_by=1, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: ddp_bucket_cap_mb=25), | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: tokenizer=TokenizerArgs(tokenizer_name_or_path='openai-community/gpt2', | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: tokenizer_revision=None, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: tokenizer_max_length=None), | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: checkpoints=CheckpointsArgs(checkpoints_path=Path('/dev/null'), | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: checkpoint_interval=100000, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: save_initial_state=False, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: resume_checkpoint_path=None, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: checkpoints_path_is_shared_file_system=False), | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: logging=LoggingArgs(log_level='info', | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: log_level_replica='info', | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: iteration_step_info_interval=1), | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: tokens=TokensArgs(sequence_length=4096, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: train_steps=20, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: micro_batch_size=128, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: batch_accumulation_per_replica=4, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: val_check_interval=-1, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: limit_val_batches=0, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: limit_test_batches=0), | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: optimizer=OptimizerArgs(optimizer_factory=AdamWOptimizerArgs(adam_eps=1e-08, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: adam_beta1=0.9, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: adam_beta2=0.95, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: torch_adam_is_fused=True, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: name='adamW'), | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: zero_stage=1, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: weight_decay=0.01, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: clip_grad=1.0, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: accumulate_grad_in_fp32=True, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: learning_rate_scheduler=LRSchedulerArgs(learning_rate=0.0001, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: lr_warmup_steps=1, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: lr_warmup_style='linear', | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: lr_decay_style='linear', | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: lr_decay_steps=19, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: lr_decay_starting_step=None, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: min_decay_lr=1e-05)), | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: data_stages=[DatasetStageArgs(name='Training Stage', | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: start_training_step=1, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: data=DataArgs(dataset=PretrainDatasetsArgs(hf_dataset_or_datasets='roneneldan/TinyStories', | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: hf_dataset_splits='train', | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: hf_dataset_config_name=None, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: dataset_processing_num_proc_per_process=64, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: dataset_overwrite_cache=False, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: text_column_name='text'), | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: seed=42, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: num_loading_workers=0))], | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: profiler=ProfilerArgs(profiler_export_path=Path('/fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-2_tp-1_pp-4_mbz-128')), | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: lighteval=None) | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: Model Config: | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: LlamaConfig(bos_token_id=1, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: eos_token_id=2, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: hidden_act='silu', | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: hidden_size=2048, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: initializer_range=0.02, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: intermediate_size=4096, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: is_llama_config=True, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: max_position_embeddings=4096, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: num_attention_heads=32, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: num_hidden_layers=24, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: num_key_value_heads=32, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: pad_token_id=None, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: pretraining_tp=1, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: rms_norm_eps=1e-05, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: rope_scaling=None, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: rope_theta=10000.0, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: tie_word_embeddings=True, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: use_cache=True, | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: vocab_size=50257) | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: Building model.. | |
| [default0]:07/04/2024 05:46:47 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: Setting PP block ranks... | |
| [default6]:07/04/2024 05:47:00 [INFO|DP=0|PP=3|TP=0|ip-26-0-174-186]: Local number of parameters: 271M (516.35MiB) | |
| [default6]:07/04/2024 05:47:00 [INFO|DP=0|PP=3|TP=0|ip-26-0-174-186]: [After model building] Memory usage: 520.36MiB. Peak allocated: 522.39MiB Peak reserved: 534.00MiB | |
| [default2]:07/04/2024 05:47:00 [INFO|DP=0|PP=1|TP=0|ip-26-0-174-186]: Local number of parameters: 294M (560.05MiB) | |
| [default2]:07/04/2024 05:47:00 [INFO|DP=0|PP=1|TP=0|ip-26-0-174-186]: [After model building] Memory usage: 567.07MiB. Peak allocated: 569.10MiB Peak reserved: 594.00MiB | |
| [default6]:07/04/2024 05:47:00 [INFO|DP=0|PP=3|TP=0|ip-26-0-174-186]: No checkpoint path provided. | |
| [default2]:07/04/2024 05:47:00 [INFO|DP=0|PP=1|TP=0|ip-26-0-174-186]: No checkpoint path provided. | |
| [default7]:07/04/2024 05:47:00 [INFO|DP=1|PP=3|TP=0|ip-26-0-174-186]: No checkpoint path provided. | |
| [default4]:07/04/2024 05:47:00 [INFO|DP=0|PP=2|TP=0|ip-26-0-174-186]: Local number of parameters: 252M (480.05MiB) | |
| [default4]:07/04/2024 05:47:00 [INFO|DP=0|PP=2|TP=0|ip-26-0-174-186]: [After model building] Memory usage: 486.06MiB. Peak allocated: 488.09MiB Peak reserved: 502.00MiB | |
| [default4]:07/04/2024 05:47:00 [INFO|DP=0|PP=2|TP=0|ip-26-0-174-186]: No checkpoint path provided. | |
| [default0]:07/04/2024 05:47:00 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: Total number of parameters: 1.21G (2312.82MiB) | |
| [default0]:07/04/2024 05:47:00 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: Local number of parameters: 397M (756.37MiB) | |
| [default0]:07/04/2024 05:47:00 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: [After model building] Memory usage: 763.38MiB. Peak allocated: 765.41MiB Peak reserved: 792.00MiB | |
| [default0]:07/04/2024 05:47:00 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: No checkpoint path provided. | |
| [default0]:07/04/2024 05:47:00 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: Parametrizing model parameters using StandardParametrizator | |
| [default3]:07/04/2024 05:47:00 [INFO|DP=1|PP=1|TP=0|ip-26-0-174-186]: No checkpoint path provided. | |
| [default1]:07/04/2024 05:47:00 [INFO|DP=1|PP=0|TP=0|ip-26-0-174-186]: No checkpoint path provided. | |
| [default5]:07/04/2024 05:47:00 [INFO|DP=1|PP=2|TP=0|ip-26-0-174-186]: No checkpoint path provided. | |
| [default0]:07/04/2024 05:47:03 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: [Optimizer Building] Using LearningRateForSP as learning rate | |
| [default0]:07/04/2024 05:47:03 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: [ZeRO sharding] Size of optimizer params per rank: | |
| [default0]:07/04/2024 05:47:03 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: [ZeRO sharding] DP Rank 0 has 198M out of 397M (50.00%) params' optimizer states | |
| [default0]:07/04/2024 05:47:03 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: [ZeRO sharding] DP Rank 1 has 198M out of 397M (50.00%) params' optimizer states | |
| [default0]:07/04/2024 05:47:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: [Training Plan] Stage Training Stage has 19 remaining training steps and has consumed 0 samples | |
| [default0]:07/04/2024 05:47:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: Using `datasets` library | |
| [default0]:07/04/2024 05:47:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: 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]:07/04/2024 05:47:04 [WARNING|DP=0|PP=0|TP=0|ip-26-0-174-186]: Repo card metadata block was not found. Setting CardData to empty. | |
| [default0]:07/04/2024 05:47:07 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: [Training Plan] There are 1 training stages | |
| [default0]:07/04/2024 05:47:07 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: [Stage Training Stage] start from step 1 | |
| [default0]:07/04/2024 05:47:07 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: | |
| [default0]:07/04/2024 05:47:07 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: [Start training] datetime: 2024-07-04 05:47:07.773124 | mbs: 128 | grad_accum: 4 | global_batch_size: 1024 | sequence_length: 4096 | train_steps: 20 | start_iteration_step: 0 | consumed_train_samples: 0 | |
| [default0]:07/04/2024 05:47:07 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: Resuming training from stage Training Stage, it has trained for 0 samples and has 19 remaining train steps | |
| [default0]:07/04/2024 05:47:07 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-186]: Memory usage: 3032.50MiB. Peak allocated 3032.50MiB. Peak reserved: 3064.00MiB | |
| [default2]:07/04/2024 05:47:07 [WARNING|DP=0|PP=1|TP=0|ip-26-0-174-186]: Repo card metadata block was not found. Setting CardData to empty. | |
| [default3]:Repo card metadata block was not found. Setting CardData to empty. | |
| [default4]:07/04/2024 05:47:07 [WARNING|DP=0|PP=2|TP=0|ip-26-0-174-186]: Repo card metadata block was not found. Setting CardData to empty. | |
| [default5]:Repo card metadata block was not found. Setting CardData to empty. | |
| [default7]:07/04/2024 05:47:07 [WARNING|DP=1|PP=3|TP=0|ip-26-0-174-186]: Repo card metadata block was not found. Setting CardData to empty. | |
| [default1]:07/04/2024 05:47:07 [WARNING|DP=1|PP=0|TP=0|ip-26-0-174-186]: Repo card metadata block was not found. Setting CardData to empty. | |
| [default3]:07/04/2024 05:47:07 [WARNING|DP=1|PP=1|TP=0|ip-26-0-174-186]: Repo card metadata block was not found. Setting CardData to empty. | |
| [default4]:Repo card metadata block was not found. Setting CardData to empty. | |
| [default5]:07/04/2024 05:47:07 [WARNING|DP=1|PP=2|TP=0|ip-26-0-174-186]: Repo card metadata block was not found. Setting CardData to empty. | |
| [default2]:Repo card metadata block was not found. Setting CardData to empty. | |
| [default1]:Repo card metadata block was not found. Setting CardData to empty. | |
| [default7]:Repo card metadata block was not found. Setting CardData to empty. | |
| [default6]:07/04/2024 05:47:07 [WARNING|DP=0|PP=3|TP=0|ip-26-0-174-186]: Repo card metadata block was not found. Setting CardData to empty. | |
| [default6]: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 637, in forward | |
| [default0]:[rank0]: hidden_states = self.mlp(hidden_states=hidden_states)["hidden_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/models/llama.py", line 171, in forward | |
| [default0]:[rank0]: merged_states = self.gate_up_proj(hidden_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/tensor_parallel/nn.py", line 87, in forward | |
| [default0]:[rank0]: return column_linear( | |
| [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/tensor_parallel/functional.py", line 359, in column_linear | |
| [default0]:[rank0]: return F.linear(input, weight, bias) | |
| [default0]:[rank0]: torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 8.00 GiB. GPU | |
| [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: [2] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '1:2', but store->get('1:2') got error: Connection reset by peer | |
| [default5]:[rank5]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): | |
| [default5]:[rank5]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f7fd8de9897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) | |
| [default5]:[rank5]: frame #1: <unknown function> + 0x5b3a23e (0x7f801290623e 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 (0x7f8012900c87 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 (0x7f8012900f82 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 (0x7f8012901fd1 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 (0x7f80128b6371 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 (0x7f80128b6371 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 (0x7f80128b6371 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 (0x7f80128b6371 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 (0x7f7fda0c3189 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 (0x7f7fda0ca610 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 (0x7f7fda0e9978 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 (0x7f80128a8309 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 (0x7f80128b2f10 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 (0x7f80128b2fa5 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 (0x7f8011ef0446 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 (0x7f800e89b4b8 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 (0x7f80128ba004 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 (0x7f80128bf6b5 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 (0x7f80254a931e 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 (0x7f8024c00ef4 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 (0x5574dc0df5a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #22: _PyObject_MakeTpCall + 0x26b (0x5574dc0d8a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #23: <unknown function> + 0x150866 (0x5574dc0eb866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x5574dc0d4142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #25: _PyFunction_Vectorcall + 0x6c (0x5574dc0dfa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #26: PyObject_Call + 0xbc (0x5574dc0ebf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x5574dc0d22b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #28: _PyFunction_Vectorcall + 0x6c (0x5574dc0dfa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x5574dc0d08fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #30: <unknown function> + 0x150582 (0x5574dc0eb582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x5574dc0d08fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #32: <unknown function> + 0x150582 (0x5574dc0eb582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x5574dc0d08fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #34: <unknown function> + 0x150582 (0x5574dc0eb582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x5574dc0d08fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x5574dc0d7f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #37: _PyObject_Call_Prepend + 0x69 (0x5574dc0e9c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #38: <unknown function> + 0x211239 (0x5574dc1ac239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #39: _PyObject_MakeTpCall + 0x26b (0x5574dc0d8a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x5574dc0d43e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #41: _PyFunction_Vectorcall + 0x6c (0x5574dc0dfa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x5574dc0cfc5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #43: _PyFunction_Vectorcall + 0x6c (0x5574dc0dfa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x5574dc0d08fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #45: <unknown function> + 0x150582 (0x5574dc0eb582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #46: PyObject_Call + 0xbc (0x5574dc0ebf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x5574dc0d22b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #48: <unknown function> + 0x150582 (0x5574dc0eb582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #49: PyObject_Call + 0xbc (0x5574dc0ebf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x5574dc0d22b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #51: _PyFunction_Vectorcall + 0x6c (0x5574dc0dfa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x5574dc0d8007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #53: _PyObject_Call_Prepend + 0x69 (0x5574dc0e9c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #54: <unknown function> + 0x211239 (0x5574dc1ac239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #55: PyObject_Call + 0x207 (0x5574dc0ec067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x5574dc0d22b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #57: <unknown function> + 0x150582 (0x5574dc0eb582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x5574dc0d08fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #59: <unknown function> + 0x150582 (0x5574dc0eb582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #60: PyObject_Call + 0xbc (0x5574dc0ebf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x5574dc0d22b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #62: <unknown function> + 0x150582 (0x5574dc0eb582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default5]:[rank5]: frame #63: PyObject_Call + 0xbc (0x5574dc0ebf1c 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. | |
| [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: [1] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '0:1', but store->get('0:1') got error: Connection reset by peer | |
| [default3]:[rank3]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): | |
| [default3]:[rank3]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f9054b7b897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) | |
| [default3]:[rank3]: frame #1: <unknown function> + 0x5b3a23e (0x7f908e69823e 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 (0x7f908e692c87 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 (0x7f908e692f82 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 (0x7f908e693fd1 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 (0x7f908e648371 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 (0x7f908e648371 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 (0x7f908e648371 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 (0x7f908e648371 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 (0x7f9055e55189 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 (0x7f9055e5c610 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 (0x7f9055e7b978 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 (0x7f908e63a309 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 (0x7f908e644f10 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 (0x7f908e644fa5 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 (0x7f908dc82446 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 (0x7f908a62d4b8 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 (0x7f908e64c004 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 (0x7f908e6516b5 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 (0x7f90a123b31e 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 (0x7f90a0992ef4 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 (0x561cef7115a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #22: _PyObject_MakeTpCall + 0x26b (0x561cef70aa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #23: <unknown function> + 0x150866 (0x561cef71d866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x561cef706142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #25: _PyFunction_Vectorcall + 0x6c (0x561cef711a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #26: PyObject_Call + 0xbc (0x561cef71df1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x561cef7042b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #28: _PyFunction_Vectorcall + 0x6c (0x561cef711a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x561cef7028fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #30: <unknown function> + 0x150582 (0x561cef71d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x561cef7028fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #32: <unknown function> + 0x150582 (0x561cef71d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x561cef7028fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #34: <unknown function> + 0x150582 (0x561cef71d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x561cef7028fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x561cef709f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #37: _PyObject_Call_Prepend + 0x69 (0x561cef71bc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #38: <unknown function> + 0x211239 (0x561cef7de239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #39: _PyObject_MakeTpCall + 0x26b (0x561cef70aa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x561cef7063e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #41: _PyFunction_Vectorcall + 0x6c (0x561cef711a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x561cef701c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #43: _PyFunction_Vectorcall + 0x6c (0x561cef711a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x561cef7028fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #45: <unknown function> + 0x150582 (0x561cef71d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #46: PyObject_Call + 0xbc (0x561cef71df1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x561cef7042b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #48: <unknown function> + 0x150582 (0x561cef71d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #49: PyObject_Call + 0xbc (0x561cef71df1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x561cef7042b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #51: _PyFunction_Vectorcall + 0x6c (0x561cef711a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x561cef70a007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #53: _PyObject_Call_Prepend + 0x69 (0x561cef71bc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #54: <unknown function> + 0x211239 (0x561cef7de239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #55: PyObject_Call + 0x207 (0x561cef71e067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x561cef7042b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #57: <unknown function> + 0x150582 (0x561cef71d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x561cef7028fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #59: <unknown function> + 0x150582 (0x561cef71d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #60: PyObject_Call + 0xbc (0x561cef71df1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x561cef7042b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #62: <unknown function> + 0x150582 (0x561cef71d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default3]:[rank3]: frame #63: PyObject_Call + 0xbc (0x561cef71df1c 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. | |
| [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: [1] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '0:1', but store->get('0:1') got error: Connection reset by peer | |
| [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 (0x7f806870d897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) | |
| [default2]:[rank2]: frame #1: <unknown function> + 0x5b3a23e (0x7f80a222a23e 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 (0x7f80a2224c87 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 (0x7f80a2224f82 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 (0x7f80a2225fd1 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 (0x7f80a21da371 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 (0x7f80a21da371 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 (0x7f80a21da371 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 (0x7f80a21da371 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 (0x7f80699e7189 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 (0x7f80699ee610 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 (0x7f8069a0d978 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 (0x7f80a21cc309 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 (0x7f80a21d6f10 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 (0x7f80a21d6fa5 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 (0x7f80a1814446 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 (0x7f809e1bf4b8 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 (0x7f80a21de004 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 (0x7f80a21e36b5 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 (0x7f80b4dcd31e 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 (0x7f80b4524ef4 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 (0x5576789c45a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #22: _PyObject_MakeTpCall + 0x26b (0x5576789bda6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #23: <unknown function> + 0x150866 (0x5576789d0866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x5576789b9142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #25: _PyFunction_Vectorcall + 0x6c (0x5576789c4a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #26: PyObject_Call + 0xbc (0x5576789d0f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x5576789b72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #28: _PyFunction_Vectorcall + 0x6c (0x5576789c4a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x5576789b58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #30: <unknown function> + 0x150582 (0x5576789d0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x5576789b58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #32: <unknown function> + 0x150582 (0x5576789d0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x5576789b58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #34: <unknown function> + 0x150582 (0x5576789d0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x5576789b58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x5576789bcf50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #37: _PyObject_Call_Prepend + 0x69 (0x5576789cec39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #38: <unknown function> + 0x211239 (0x557678a91239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #39: _PyObject_MakeTpCall + 0x26b (0x5576789bda6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x5576789b93e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #41: _PyFunction_Vectorcall + 0x6c (0x5576789c4a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x5576789b4c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #43: _PyFunction_Vectorcall + 0x6c (0x5576789c4a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x5576789b58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #45: <unknown function> + 0x150582 (0x5576789d0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #46: PyObject_Call + 0xbc (0x5576789d0f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x5576789b72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #48: <unknown function> + 0x150582 (0x5576789d0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #49: PyObject_Call + 0xbc (0x5576789d0f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x5576789b72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #51: _PyFunction_Vectorcall + 0x6c (0x5576789c4a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x5576789bd007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #53: _PyObject_Call_Prepend + 0x69 (0x5576789cec39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #54: <unknown function> + 0x211239 (0x557678a91239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #55: PyObject_Call + 0x207 (0x5576789d1067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x5576789b72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #57: <unknown function> + 0x150582 (0x5576789d0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x5576789b58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #59: <unknown function> + 0x150582 (0x5576789d0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #60: PyObject_Call + 0xbc (0x5576789d0f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x5576789b72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #62: <unknown function> + 0x150582 (0x5576789d0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default2]:[rank2]: frame #63: PyObject_Call + 0xbc (0x5576789d0f1c 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. | |
| [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: [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 | |
| [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 (0x7f9e51bd3897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) | |
| [default4]:[rank4]: frame #1: <unknown function> + 0x5b3a23e (0x7f9e8b6f023e 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 (0x7f9e8b6eac87 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 (0x7f9e8b6eaf82 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 (0x7f9e8b6ebfd1 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 (0x7f9e8b6a0371 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 (0x7f9e8b6a0371 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 (0x7f9e8b6a0371 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 (0x7f9e8b6a0371 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 (0x7f9e52ead189 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 (0x7f9e52eb4610 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 (0x7f9e52ed3978 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 (0x7f9e8b692309 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 (0x7f9e8b69cf10 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 (0x7f9e8b69cfa5 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 (0x7f9e8acda446 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 (0x7f9e876854b8 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 (0x7f9e8b6a4004 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 (0x7f9e8b6a96b5 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 (0x7f9e9e29331e 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 (0x7f9e9d9eaef4 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 (0x56151acb95a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #22: _PyObject_MakeTpCall + 0x26b (0x56151acb2a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #23: <unknown function> + 0x150866 (0x56151acc5866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x56151acae142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #25: _PyFunction_Vectorcall + 0x6c (0x56151acb9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #26: PyObject_Call + 0xbc (0x56151acc5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x56151acac2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #28: _PyFunction_Vectorcall + 0x6c (0x56151acb9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x56151acaa8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #30: <unknown function> + 0x150582 (0x56151acc5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x56151acaa8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #32: <unknown function> + 0x150582 (0x56151acc5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x56151acaa8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #34: <unknown function> + 0x150582 (0x56151acc5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x56151acaa8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x56151acb1f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #37: _PyObject_Call_Prepend + 0x69 (0x56151acc3c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #38: <unknown function> + 0x211239 (0x56151ad86239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #39: _PyObject_MakeTpCall + 0x26b (0x56151acb2a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x56151acae3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #41: _PyFunction_Vectorcall + 0x6c (0x56151acb9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x56151aca9c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #43: _PyFunction_Vectorcall + 0x6c (0x56151acb9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x56151acaa8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #45: <unknown function> + 0x150582 (0x56151acc5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #46: PyObject_Call + 0xbc (0x56151acc5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x56151acac2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #48: <unknown function> + 0x150582 (0x56151acc5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #49: PyObject_Call + 0xbc (0x56151acc5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x56151acac2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #51: _PyFunction_Vectorcall + 0x6c (0x56151acb9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x56151acb2007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #53: _PyObject_Call_Prepend + 0x69 (0x56151acc3c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #54: <unknown function> + 0x211239 (0x56151ad86239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #55: PyObject_Call + 0x207 (0x56151acc6067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x56151acac2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #57: <unknown function> + 0x150582 (0x56151acc5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x56151acaa8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #59: <unknown function> + 0x150582 (0x56151acc5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #60: PyObject_Call + 0xbc (0x56151acc5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x56151acac2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #62: <unknown function> + 0x150582 (0x56151acc5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default4]:[rank4]: frame #63: PyObject_Call + 0xbc (0x56151acc5f1c 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. | |
| [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 278, 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: [3] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '2:3', but store->get('2:3') got error: Connection reset by peer | |
| [default6]:[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 (0x7fcffb466897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) | |
| [default6]:[rank6]: frame #1: <unknown function> + 0x5b3a23e (0x7fd034f8323e 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 (0x7fd034f7dc87 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 (0x7fd034f7df82 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 (0x7fd034f7efd1 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 (0x7fd034f33371 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 (0x7fd034f33371 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 (0x7fd034f33371 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 (0x7fd034f33371 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 (0x7fcffc740189 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 (0x7fcffc747610 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 (0x7fcffc766978 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 (0x7fd034f25309 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 (0x7fd034f2ff10 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 (0x7fd034f2ffa5 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 (0x7fd03456d446 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 (0x7fd030f184b8 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 (0x7fd034f37004 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 (0x7fd034f3c6b5 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 (0x7fd047b2631e 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 (0x7fd04727def4 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 (0x56292a98e5a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #22: _PyObject_MakeTpCall + 0x26b (0x56292a987a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #23: <unknown function> + 0x150866 (0x56292a99a866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x56292a983142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #25: _PyFunction_Vectorcall + 0x6c (0x56292a98ea2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #26: PyObject_Call + 0xbc (0x56292a99af1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x56292a9812b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #28: _PyFunction_Vectorcall + 0x6c (0x56292a98ea2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x56292a97f8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #30: <unknown function> + 0x150582 (0x56292a99a582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x56292a97f8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #32: <unknown function> + 0x150582 (0x56292a99a582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x56292a97f8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #34: <unknown function> + 0x150582 (0x56292a99a582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x56292a97f8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x56292a986f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #37: _PyObject_Call_Prepend + 0x69 (0x56292a998c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #38: <unknown function> + 0x211239 (0x56292aa5b239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #39: _PyObject_MakeTpCall + 0x26b (0x56292a987a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x56292a9833e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #41: _PyFunction_Vectorcall + 0x6c (0x56292a98ea2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x56292a97ec5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #43: _PyFunction_Vectorcall + 0x6c (0x56292a98ea2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x56292a97f8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #45: <unknown function> + 0x150582 (0x56292a99a582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #46: PyObject_Call + 0xbc (0x56292a99af1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x56292a9812b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #48: <unknown function> + 0x150582 (0x56292a99a582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #49: PyObject_Call + 0xbc (0x56292a99af1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x56292a9812b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #51: _PyFunction_Vectorcall + 0x6c (0x56292a98ea2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x56292a987007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #53: _PyObject_Call_Prepend + 0x69 (0x56292a998c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #54: <unknown function> + 0x211239 (0x56292aa5b239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #55: PyObject_Call + 0x207 (0x56292a99b067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x56292a9812b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #57: <unknown function> + 0x150582 (0x56292a99a582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x56292a97f8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #59: <unknown function> + 0x150582 (0x56292a99a582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #60: PyObject_Call + 0xbc (0x56292a99af1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x56292a9812b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #62: <unknown function> + 0x150582 (0x56292a99a582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) | |
| [default6]:[rank6]: frame #63: PyObject_Call + 0xbc (0x56292a99af1c 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. | |
| W0704 05:47:15.522000 140521484924736 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 863385 closing signal SIGTERM | |
| W0704 05:47:15.522000 140521484924736 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 863386 closing signal SIGTERM | |
| W0704 05:47:15.522000 140521484924736 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 863387 closing signal SIGTERM | |
| W0704 05:47:15.523000 140521484924736 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 863388 closing signal SIGTERM | |
| W0704 05:47:15.524000 140521484924736 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 863389 closing signal SIGTERM | |
| W0704 05:47:15.524000 140521484924736 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 863390 closing signal SIGTERM | |
| W0704 05:47:15.524000 140521484924736 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 863391 closing signal SIGTERM | |
| E0704 05:47:17.143000 140521484924736 torch/distributed/elastic/multiprocessing/api.py:826] failed (exitcode: 1) local_rank: 0 (pid: 863384) 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 : 2024-07-04_05:47:15 | |
| host : ip-26-0-174-186.ec2.internal | |
| rank : 0 (local_rank: 0) | |
| exitcode : 1 (pid: 863384) | |
| error_file: <N/A> | |
| traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html | |
| ============================================================ | |
| srun: error: ip-26-0-174-186: 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. | |