======================== START TIME: Tue Jul 2 19:47:34 UTC 2024 python3 version = Python 3.10.14 ======================== The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well. Token is valid (permission: write). Your token has been saved to /admin/home/ferdinand_mom/.cache/huggingface/token Login successful Already on 'bench_cluster' M examples/config_tiny_llama.py M examples/config_tiny_llama.yaml M examples/train_tiny_llama.sh M src/nanotron/models/llama.py M src/nanotron/trainer.py Your branch is up to date with 'origin/bench_cluster'. Job status: RUNNING W0702 19:47:37.098000 139666791012160 torch/distributed/run.py:757] W0702 19:47:37.098000 139666791012160 torch/distributed/run.py:757] ***************************************** W0702 19:47:37.098000 139666791012160 torch/distributed/run.py:757] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. W0702 19:47:37.098000 139666791012160 torch/distributed/run.py:757] ***************************************** W0702 19:47:37.101000 139925185820480 torch/distributed/run.py:757] W0702 19:47:37.101000 139925185820480 torch/distributed/run.py:757] ***************************************** W0702 19:47:37.101000 139925185820480 torch/distributed/run.py:757] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. W0702 19:47:37.101000 139925185820480 torch/distributed/run.py:757] ***************************************** [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: Config: [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: Config(general=GeneralArgs(project='bench_cluster', [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: run='%date_%jobid', [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: seed=42, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: step=None, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: consumed_train_samples=None, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: benchmark_csv_path=None, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: ignore_sanity_checks=True), [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: parallelism=ParallelismArgs(dp=1, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: pp=16, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: tp=1, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: pp_engine=, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: tp_mode=, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: tp_linear_async_communication=False, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: expert_parallel_size=1), [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: model=ModelArgs(model_config=LlamaConfig(bos_token_id=1, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: eos_token_id=2, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: hidden_act='silu', [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: hidden_size=2048, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: initializer_range=0.02, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: intermediate_size=4096, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: is_llama_config=True, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: max_position_embeddings=4096, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: num_attention_heads=32, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: num_hidden_layers=24, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: num_key_value_heads=32, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: pad_token_id=None, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: pretraining_tp=1, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: rms_norm_eps=1e-05, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: rope_scaling=None, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: rope_theta=10000.0, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: tie_word_embeddings=True, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: use_cache=True, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: vocab_size=50257), [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: init_method=RandomInit(std=0.025), [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: dtype=torch.bfloat16, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: make_vocab_size_divisible_by=1, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: ddp_bucket_cap_mb=25), [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: tokenizer=TokenizerArgs(tokenizer_name_or_path='openai-community/gpt2', [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: tokenizer_revision=None, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: tokenizer_max_length=None), [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: checkpoints=CheckpointsArgs(checkpoints_path=Path('/dev/null'), [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: checkpoint_interval=100000, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: save_initial_state=False, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: resume_checkpoint_path=None, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: checkpoints_path_is_shared_file_system=False), [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: logging=LoggingArgs(log_level='info', [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: log_level_replica='info', [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: iteration_step_info_interval=1), [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: tokens=TokensArgs(sequence_length=4096, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: train_steps=20, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: micro_batch_size=64, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: batch_accumulation_per_replica=16, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: val_check_interval=-1, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: limit_val_batches=0, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: limit_test_batches=0), [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: optimizer=OptimizerArgs(optimizer_factory=AdamWOptimizerArgs(adam_eps=1e-08, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: adam_beta1=0.9, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: adam_beta2=0.95, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: torch_adam_is_fused=True, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: name='adamW'), [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: zero_stage=1, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: weight_decay=0.01, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: clip_grad=1.0, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: accumulate_grad_in_fp32=True, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: learning_rate_scheduler=LRSchedulerArgs(learning_rate=0.0001, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: lr_warmup_steps=1, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: lr_warmup_style='linear', [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: lr_decay_style='linear', [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: lr_decay_steps=19, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: lr_decay_starting_step=None, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: min_decay_lr=1e-05)), [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: data_stages=[DatasetStageArgs(name='Training Stage', [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: start_training_step=1, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: data=DataArgs(dataset=PretrainDatasetsArgs(hf_dataset_or_datasets='roneneldan/TinyStories', [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: hf_dataset_splits='train', [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: hf_dataset_config_name=None, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: dataset_processing_num_proc_per_process=64, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: dataset_overwrite_cache=False, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: text_column_name='text'), [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: seed=42, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: num_loading_workers=32))], [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: profiler=ProfilerArgs(profiler_export_path=Path('/fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/16_GPUS/dp-1_tp-1_pp-16_mbz-64')), [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: lighteval=None) [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: Model Config: [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: LlamaConfig(bos_token_id=1, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: eos_token_id=2, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: hidden_act='silu', [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: hidden_size=2048, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: initializer_range=0.02, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: intermediate_size=4096, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: is_llama_config=True, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: max_position_embeddings=4096, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: num_attention_heads=32, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: num_hidden_layers=24, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: num_key_value_heads=32, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: pad_token_id=None, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: pretraining_tp=1, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: rms_norm_eps=1e-05, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: rope_scaling=None, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: rope_theta=10000.0, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: tie_word_embeddings=True, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: use_cache=True, [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: vocab_size=50257) [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: Building model.. [default0]:07/02/2024 19:47:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: Setting PP block ranks... [default7]:07/02/2024 19:48:11 [INFO|DP=0|PP=15|TP=0|ip-26-0-163-226]: Local number of parameters: 0 (0.00MiB) [default7]:07/02/2024 19:48:11 [INFO|DP=0|PP=15|TP=0|ip-26-0-163-226]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.02MiB Peak reserved: 2.00MiB [default7]:07/02/2024 19:48:11 [INFO|DP=0|PP=15|TP=0|ip-26-0-163-226]: No checkpoint path provided. [default0]:07/02/2024 19:48:11 [INFO|DP=0|PP=8|TP=0|ip-26-0-163-226]: Local number of parameters: 41.9M (80.01MiB) [default0]:07/02/2024 19:48:11 [INFO|DP=0|PP=8|TP=0|ip-26-0-163-226]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB [default0]:07/02/2024 19:48:11 [INFO|DP=0|PP=8|TP=0|ip-26-0-163-226]: No checkpoint path provided. [default3]:07/02/2024 19:48:11 [INFO|DP=0|PP=11|TP=0|ip-26-0-163-226]: Local number of parameters: 41.9M (80.01MiB) [default4]:07/02/2024 19:48:11 [INFO|DP=0|PP=12|TP=0|ip-26-0-163-226]: Local number of parameters: 83.9M (160.02MiB) [default4]:07/02/2024 19:48:11 [INFO|DP=0|PP=12|TP=0|ip-26-0-163-226]: [After model building] Memory usage: 162.03MiB. Peak allocated: 164.06MiB Peak reserved: 170.00MiB [default3]:07/02/2024 19:48:11 [INFO|DP=0|PP=11|TP=0|ip-26-0-163-226]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB [default3]:07/02/2024 19:48:11 [INFO|DP=0|PP=11|TP=0|ip-26-0-163-226]: No checkpoint path provided. [default4]:07/02/2024 19:48:11 [INFO|DP=0|PP=12|TP=0|ip-26-0-163-226]: No checkpoint path provided. [default6]:07/02/2024 19:48:11 [INFO|DP=0|PP=14|TP=0|ip-26-0-163-226]: Local number of parameters: 103M (196.32MiB) [default6]:07/02/2024 19:48:11 [INFO|DP=0|PP=14|TP=0|ip-26-0-163-226]: [After model building] Memory usage: 196.33MiB. Peak allocated: 196.34MiB Peak reserved: 200.00MiB [default6]:07/02/2024 19:48:11 [INFO|DP=0|PP=14|TP=0|ip-26-0-163-226]: No checkpoint path provided. [default5]:07/02/2024 19:48:11 [INFO|DP=0|PP=13|TP=0|ip-26-0-163-226]: Local number of parameters: 83.9M (160.02MiB) [default5]:07/02/2024 19:48:11 [INFO|DP=0|PP=13|TP=0|ip-26-0-163-226]: [After model building] Memory usage: 162.03MiB. Peak allocated: 164.06MiB Peak reserved: 170.00MiB [default5]:07/02/2024 19:48:11 [INFO|DP=0|PP=13|TP=0|ip-26-0-163-226]: No checkpoint path provided. [default1]:07/02/2024 19:48:11 [INFO|DP=0|PP=9|TP=0|ip-26-0-163-226]: Local number of parameters: 83.9M (160.02MiB) [default1]:07/02/2024 19:48:11 [INFO|DP=0|PP=9|TP=0|ip-26-0-163-226]: [After model building] Memory usage: 162.03MiB. Peak allocated: 164.06MiB Peak reserved: 170.00MiB [default1]:07/02/2024 19:48:11 [INFO|DP=0|PP=9|TP=0|ip-26-0-163-226]: No checkpoint path provided. [default2]:07/02/2024 19:48:11 [INFO|DP=0|PP=10|TP=0|ip-26-0-163-226]: Local number of parameters: 83.9M (160.02MiB) [default2]:07/02/2024 19:48:11 [INFO|DP=0|PP=10|TP=0|ip-26-0-163-226]: [After model building] Memory usage: 162.03MiB. Peak allocated: 164.06MiB Peak reserved: 170.00MiB [default2]:07/02/2024 19:48:11 [INFO|DP=0|PP=10|TP=0|ip-26-0-163-226]: No checkpoint path provided. [default1]:07/02/2024 19:48:11 [INFO|DP=0|PP=1|TP=0|ip-26-0-163-147]: Local number of parameters: 83.9M (160.02MiB) [default1]:07/02/2024 19:48:11 [INFO|DP=0|PP=1|TP=0|ip-26-0-163-147]: [After model building] Memory usage: 162.03MiB. Peak allocated: 164.06MiB Peak reserved: 170.00MiB [default1]:07/02/2024 19:48:11 [INFO|DP=0|PP=1|TP=0|ip-26-0-163-147]: No checkpoint path provided. [default3]:07/02/2024 19:48:11 [INFO|DP=0|PP=3|TP=0|ip-26-0-163-147]: Local number of parameters: 83.9M (160.02MiB) [default3]:07/02/2024 19:48:11 [INFO|DP=0|PP=3|TP=0|ip-26-0-163-147]: [After model building] Memory usage: 162.03MiB. Peak allocated: 164.06MiB Peak reserved: 170.00MiB [default3]:07/02/2024 19:48:11 [INFO|DP=0|PP=3|TP=0|ip-26-0-163-147]: No checkpoint path provided. [default0]:07/02/2024 19:48:11 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: Total number of parameters: 1.21G (2312.82MiB) [default0]:07/02/2024 19:48:11 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: Local number of parameters: 187M (356.33MiB) [default0]:07/02/2024 19:48:11 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: [After model building] Memory usage: 358.34MiB. Peak allocated: 360.37MiB Peak reserved: 368.00MiB [default0]:07/02/2024 19:48:11 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: No checkpoint path provided. [default0]:07/02/2024 19:48:11 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: Parametrizing model parameters using StandardParametrizator [default4]:07/02/2024 19:48:11 [INFO|DP=0|PP=4|TP=0|ip-26-0-163-147]: Local number of parameters: 83.9M (160.02MiB) [default4]:07/02/2024 19:48:11 [INFO|DP=0|PP=4|TP=0|ip-26-0-163-147]: [After model building] Memory usage: 162.03MiB. Peak allocated: 164.06MiB Peak reserved: 170.00MiB [default4]:07/02/2024 19:48:11 [INFO|DP=0|PP=4|TP=0|ip-26-0-163-147]: No checkpoint path provided. [default6]:07/02/2024 19:48:11 [INFO|DP=0|PP=6|TP=0|ip-26-0-163-147]: Local number of parameters: 83.9M (160.02MiB) [default6]:07/02/2024 19:48:11 [INFO|DP=0|PP=6|TP=0|ip-26-0-163-147]: [After model building] Memory usage: 162.03MiB. Peak allocated: 164.06MiB Peak reserved: 170.00MiB [default6]:07/02/2024 19:48:11 [INFO|DP=0|PP=6|TP=0|ip-26-0-163-147]: No checkpoint path provided. [default7]:07/02/2024 19:48:11 [INFO|DP=0|PP=7|TP=0|ip-26-0-163-147]: Local number of parameters: 83.9M (160.02MiB) [default7]:07/02/2024 19:48:11 [INFO|DP=0|PP=7|TP=0|ip-26-0-163-147]: [After model building] Memory usage: 162.03MiB. Peak allocated: 164.06MiB Peak reserved: 170.00MiB [default7]:07/02/2024 19:48:11 [INFO|DP=0|PP=7|TP=0|ip-26-0-163-147]: No checkpoint path provided. [default2]:07/02/2024 19:48:11 [INFO|DP=0|PP=2|TP=0|ip-26-0-163-147]: Local number of parameters: 41.9M (80.01MiB) [default2]:07/02/2024 19:48:11 [INFO|DP=0|PP=2|TP=0|ip-26-0-163-147]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB [default2]:07/02/2024 19:48:11 [INFO|DP=0|PP=2|TP=0|ip-26-0-163-147]: No checkpoint path provided. [default5]:07/02/2024 19:48:11 [INFO|DP=0|PP=5|TP=0|ip-26-0-163-147]: Local number of parameters: 41.9M (80.01MiB) [default5]:07/02/2024 19:48:11 [INFO|DP=0|PP=5|TP=0|ip-26-0-163-147]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB [default5]:07/02/2024 19:48:11 [INFO|DP=0|PP=5|TP=0|ip-26-0-163-147]: No checkpoint path provided. [default0]:07/02/2024 19:48:11 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: [Optimizer Building] Using LearningRateForSP as learning rate [default0]:07/02/2024 19:48:11 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: [ZeRO sharding] Size of optimizer params per rank: [default0]:07/02/2024 19:48:11 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: [ZeRO sharding] DP Rank 0 has 187M out of 187M (100.00%) params' optimizer states [default0]:07/02/2024 19:48:12 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: [Training Plan] Stage Training Stage has 19 remaining training steps and has consumed 0 samples [default0]:07/02/2024 19:48:12 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: Using `datasets` library [default0]:07/02/2024 19:48:12 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: Loading tokenizer from openai-community/gpt2 and transformers/hf_hub versions ('4.41.2', '0.23.4') [default0]:07/02/2024 19:48:12 [WARNING|DP=0|PP=0|TP=0|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty. [default0]:Repo card metadata block was not found. Setting CardData to empty. [default0]:07/02/2024 19:48:13 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: [Training Plan] There are 1 training stages [default0]:07/02/2024 19:48:13 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: [Stage Training Stage] start from step 1 [default0]:07/02/2024 19:48:13 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: [default0]:07/02/2024 19:48:13 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: [Start training] datetime: 2024-07-02 19:48:13.666785 | mbs: 64 | grad_accum: 16 | global_batch_size: 1024 | sequence_length: 4096 | train_steps: 20 | start_iteration_step: 0 | consumed_train_samples: 0 [default0]:07/02/2024 19:48:13 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: Resuming training from stage Training Stage, it has trained for 0 samples and has 19 remaining train steps [default0]:07/02/2024 19:48:13 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-147]: Memory usage: 1783.67MiB. Peak allocated 1783.67MiB. Peak reserved: 1796.00MiB [default2]:Repo card metadata block was not found. Setting CardData to empty. [default2]:07/02/2024 19:48:13 [WARNING|DP=0|PP=2|TP=0|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty. [default7]:07/02/2024 19:48:13 [WARNING|DP=0|PP=15|TP=0|ip-26-0-163-226]: Repo card metadata block was not found. Setting CardData to empty. [default0]:07/02/2024 19:48:13 [WARNING|DP=0|PP=8|TP=0|ip-26-0-163-226]: Repo card metadata block was not found. Setting CardData to empty. [default6]:07/02/2024 19:48:13 [WARNING|DP=0|PP=14|TP=0|ip-26-0-163-226]: Repo card metadata block was not found. Setting CardData to empty. [default3]:07/02/2024 19:48:13 [WARNING|DP=0|PP=11|TP=0|ip-26-0-163-226]: Repo card metadata block was not found. Setting CardData to empty. [default4]:07/02/2024 19:48:13 [WARNING|DP=0|PP=12|TP=0|ip-26-0-163-226]: Repo card metadata block was not found. Setting CardData to empty. [default5]:07/02/2024 19:48:13 [WARNING|DP=0|PP=13|TP=0|ip-26-0-163-226]: Repo card metadata block was not found. Setting CardData to empty. [default0]:Repo card metadata block was not found. Setting CardData to empty. [default1]:07/02/2024 19:48:13 [WARNING|DP=0|PP=9|TP=0|ip-26-0-163-226]: Repo card metadata block was not found. Setting CardData to empty. [default1]:Repo card metadata block was not found. Setting CardData to empty. [default5]:Repo card metadata block was not found. Setting CardData to empty. [default4]:Repo card metadata block was not found. Setting CardData to empty. [default7]:Repo card metadata block was not found. Setting CardData to empty. [default1]:07/02/2024 19:48:13 [WARNING|DP=0|PP=1|TP=0|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty. [default3]:07/02/2024 19:48:13 [WARNING|DP=0|PP=3|TP=0|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty. [default3]:Repo card metadata block was not found. Setting CardData to empty. [default6]:Repo card metadata block was not found. Setting CardData to empty. [default4]:Repo card metadata block was not found. Setting CardData to empty. [default4]:07/02/2024 19:48:13 [WARNING|DP=0|PP=4|TP=0|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty. [default1]:Repo card metadata block was not found. Setting CardData to empty. [default3]:Repo card metadata block was not found. Setting CardData to empty. [default5]:Repo card metadata block was not found. Setting CardData to empty. [default6]:07/02/2024 19:48:13 [WARNING|DP=0|PP=6|TP=0|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty. [default6]:Repo card metadata block was not found. Setting CardData to empty. [default5]:07/02/2024 19:48:13 [WARNING|DP=0|PP=5|TP=0|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty. [default2]:Repo card metadata block was not found. Setting CardData to empty. [default2]:07/02/2024 19:48:13 [WARNING|DP=0|PP=10|TP=0|ip-26-0-163-226]: Repo card metadata block was not found. Setting CardData to empty. [default7]:07/02/2024 19:48:13 [WARNING|DP=0|PP=7|TP=0|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty. [default7]:Repo card metadata block was not found. Setting CardData to empty. [default0]:[rank0]: Traceback (most recent call last): [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default0]:[rank0]: trainer.train(dataloader) [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default0]:[rank0]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default0]:[rank0]: outputs = self.pipeline_engine.train_batch_iter( [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default0]:[rank0]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default0]:[rank0]: output = model(**micro_batch) [default0]:[rank0]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default0]:[rank0]: return self._call_impl(*args, **kwargs) [default0]:[rank0]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default0]:[rank0]: return forward_call(*args, **kwargs) [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default0]:[rank0]: sharded_logits = self.model( [default0]:[rank0]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default0]:[rank0]: return self._call_impl(*args, **kwargs) [default0]:[rank0]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default0]:[rank0]: return forward_call(*args, **kwargs) [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default0]:[rank0]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default0]:[rank0]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default0]:[rank0]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default0]:[rank0]: return self._call_impl(*args, **kwargs) [default0]:[rank0]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default0]:[rank0]: return forward_call(*args, **kwargs) [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 151, in forward [default0]:[rank0]: output = self.pp_block(**new_kwargs) [default0]:[rank0]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default0]:[rank0]: return self._call_impl(*args, **kwargs) [default0]:[rank0]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default0]:[rank0]: return forward_call(*args, **kwargs) [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 631, in forward [default0]:[rank0]: output = self.attn(hidden_states=hidden_states, sequence_mask=sequence_mask) [default0]:[rank0]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default0]:[rank0]: return self._call_impl(*args, **kwargs) [default0]:[rank0]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default0]:[rank0]: return forward_call(*args, **kwargs) [default0]:[rank0]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 565, in forward [default0]:[rank0]: key_value_states = key_value_states.permute(1, 2, 0, 3, 4).contiguous() [default0]:[rank0]: torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 2.00 GiB. GPU [default2]:[rank10]: Traceback (most recent call last): [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default1]:[rank9]: Traceback (most recent call last): [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default2]:[rank10]: trainer.train(dataloader) [default1]:[rank9]: trainer.train(dataloader) [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default1]:[rank9]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default2]:[rank10]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default1]:[rank9]: outputs = self.pipeline_engine.train_batch_iter( [default2]:[rank10]: outputs = self.pipeline_engine.train_batch_iter( [default5]:[rank13]: Traceback (most recent call last): [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default1]:[rank9]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default2]:[rank10]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default1]:[rank9]: output = model(**micro_batch) [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default5]:[rank13]: trainer.train(dataloader) [default1]:[rank9]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default2]:[rank10]: output = model(**micro_batch) [default2]:[rank10]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default1]:[rank9]: return self._call_impl(*args, **kwargs) [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default1]:[rank9]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default5]:[rank13]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default2]:[rank10]: return self._call_impl(*args, **kwargs) [default1]:[rank9]: return forward_call(*args, **kwargs) [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default2]:[rank10]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default2]:[rank10]: return forward_call(*args, **kwargs) [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default2]:[rank10]: sharded_logits = self.model( [default2]:[rank10]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default1]:[rank9]: sharded_logits = self.model( [default1]:[rank9]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default0]:[rank8]: Traceback (most recent call last): [default2]:[rank10]: return self._call_impl(*args, **kwargs) [default5]:[rank13]: outputs = self.pipeline_engine.train_batch_iter( [default2]:[rank10]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default0]:[rank8]: trainer.train(dataloader) [default2]:[rank10]: return forward_call(*args, **kwargs) [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default5]:[rank13]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default2]:[rank10]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default1]:[rank9]: return self._call_impl(*args, **kwargs) [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default1]:[rank9]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default5]:[rank13]: output = model(**micro_batch) [default5]:[rank13]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default1]:[rank9]: return forward_call(*args, **kwargs) [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default2]:[rank10]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default2]:[rank10]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default2]:[rank10]: return self._call_impl(*args, **kwargs) [default0]:[rank8]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default1]:[rank9]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default2]:[rank10]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default2]:[rank10]: return forward_call(*args, **kwargs) [default5]:[rank13]: return self._call_impl(*args, **kwargs) [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default1]:[rank9]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default2]:[rank10]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default0]:[rank8]: outputs = self.pipeline_engine.train_batch_iter( [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer [default2]:[rank10]: pipeline_state.run_communication() [default1]:[rank9]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default0]:[rank8]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default2]:[rank10]: recv_activation_tensor = recv_activation() [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default1]:[rank9]: return self._call_impl(*args, **kwargs) [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default0]:[rank8]: output = model(**micro_batch) [default0]:[rank8]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default2]:[rank10]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default1]:[rank9]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default1]:[rank9]: return forward_call(*args, **kwargs) [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default0]:[rank8]: return self._call_impl(*args, **kwargs) [default0]:[rank8]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default2]:[rank10]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [default1]:[rank9]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default2]:[rank10]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default5]:[rank13]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default2]:[rank10]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default5]:[rank13]: return forward_call(*args, **kwargs) [default0]:[rank8]: return forward_call(*args, **kwargs) [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default2]:[rank10]: dist.recv( [default5]:[rank13]: sharded_logits = self.model( [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer [default1]:[rank9]: pipeline_state.run_communication() [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default2]:[rank10]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default0]:[rank8]: sharded_logits = self.model( [default1]:[rank9]: recv_activation_tensor = recv_activation() [default0]:[rank8]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default2]:[rank10]: return func(*args, **kwargs) [default0]:[rank8]: return self._call_impl(*args, **kwargs) [default0]:[rank8]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default0]:[rank8]: return forward_call(*args, **kwargs) [default2]:[rank10]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [default2]:[rank10]: pg.recv([tensor], group_src_rank, tag).wait() [default2]:[rank10]: torch.distributed.DistBackendError: [10] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '9:10', but store->get('9:10') got error: Connection reset by peer [default5]:[rank13]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default7]:[rank15]: Traceback (most recent call last): [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default2]:[rank10]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default0]:[rank8]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default5]:[rank13]: return self._call_impl(*args, **kwargs) [default5]:[rank13]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default1]:[rank9]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default2]:[rank10]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fbafc70d897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default7]:[rank15]: trainer.train(dataloader) [default5]:[rank13]: return forward_call(*args, **kwargs) [default0]:[rank8]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default2]:[rank10]: frame #1: + 0x5b3a23e (0x7fbb3622a23e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default7]:[rank15]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default4]:[rank12]: Traceback (most recent call last): [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default0]:[rank8]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default7]:[rank15]: outputs = self.pipeline_engine.train_batch_iter( [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default1]:[rank9]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default1]:[rank9]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default4]:[rank12]: trainer.train(dataloader) [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 278, in train_batch_iter [default7]:[rank15]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default0]:[rank8]: return self._call_impl(*args, **kwargs) [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default2]:[rank10]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7fbb36224c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7fbb36224f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default4]:[rank12]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default2]:[rank10]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7fbb36225fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default0]:[rank8]: return forward_call(*args, **kwargs) [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default5]:[rank13]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default7]:[rank15]: output = model(**micro_batch) [default4]:[rank12]: outputs = self.pipeline_engine.train_batch_iter( [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default1]:[rank9]: dist.recv( [default7]:[rank15]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default7]:[rank15]: return self._call_impl(*args, **kwargs) [default1]:[rank9]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default1]:[rank9]: return func(*args, **kwargs) [default7]:[rank15]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default0]:[rank8]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default2]:[rank10]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fbb361da371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default5]:[rank13]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default7]:[rank15]: return forward_call(*args, **kwargs) [default5]:[rank13]: return self._call_impl(*args, **kwargs) [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default4]:[rank12]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer [default0]:[rank8]: pipeline_state.run_communication() [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default7]:[rank15]: sharded_logits = self.model( [default2]:[rank10]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fbb361da371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fbb361da371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default2]:[rank10]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fbb361da371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default1]:[rank9]: pg.recv([tensor], group_src_rank, tag).wait() [default1]:[rank9]: torch.distributed.DistBackendError: [9] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '8:9', but store->get('8:9') got error: Connection reset by peer [default2]:[rank10]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7fbafd9e7189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default2]:[rank10]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7fbafd9ee610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default1]:[rank9]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default7]:[rank15]: return self._call_impl(*args, **kwargs) [default7]:[rank15]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default5]:[rank13]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default1]:[rank9]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f9c4bd2e897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default4]:[rank12]: output = model(**micro_batch) [default2]:[rank10]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7fbafda0d978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default1]:[rank9]: frame #1: + 0x5b3a23e (0x7f9c8584b23e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7f9c85845c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default7]:[rank15]: return forward_call(*args, **kwargs) [default1]:[rank9]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f9c85845f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: recv_activation_tensor = recv_activation() [default5]:[rank13]: return forward_call(*args, **kwargs) [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [default1]:[rank9]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f9c85846fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f9c857fb371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f9c857fb371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default2]:[rank10]: frame #12: + 0x5adc309 (0x7fbb361cc309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #13: + 0x5ae6f10 (0x7fbb361d6f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default1]:[rank9]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f9c857fb371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer [default5]:[rank13]: pipeline_state.run_communication() [default7]:[rank15]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default2]:[rank10]: frame #14: + 0x5ae6fa5 (0x7fbb361d6fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #15: + 0x5124446 (0x7fbb35814446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #16: + 0x1acf4b8 (0x7fbb321bf4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f9c857fb371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default4]:[rank12]: return self._call_impl(*args, **kwargs) [default4]:[rank12]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default4]:[rank12]: return forward_call(*args, **kwargs) [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 786, in forward_with_hidden_states [default2]:[rank10]: frame #17: + 0x5aee004 (0x7fbb361de004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default1]:[rank9]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f9c4d008189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default1]:[rank9]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f9c4d00f610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default7]:[rank15]: fp32_sharded_logits = self.cast_to_fp32(x=sharded_logits)["output"] [default2]:[rank10]: frame #18: + 0x5af36b5 (0x7fbb361e36b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #19: + 0xd2631e (0x7fbb48dcd31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default1]:[rank9]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7f9c4d02e978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default7]:[rank15]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default0]:[rank8]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default5]:[rank13]: recv_activation_tensor = recv_activation() [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default2]:[rank10]: frame #20: + 0x47def4 (0x7fbb48524ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default4]:[rank12]: sharded_logits = self.model( [default2]:[rank10]: frame #21: + 0x1445a6 (0x55d886e1c5a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: return self._call_impl(*args, **kwargs) [default4]:[rank12]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default5]:[rank13]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default1]:[rank9]: frame #12: + 0x5adc309 (0x7f9c857ed309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default4]:[rank12]: return self._call_impl(*args, **kwargs) [default4]:[rank12]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default1]:[rank9]: frame #13: + 0x5ae6f10 (0x7f9c857f7f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default2]:[rank10]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55d886e15a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #23: + 0x150866 (0x55d886e28866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default5]:[rank13]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default2]:[rank10]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55d886e11142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #14: + 0x5ae6fa5 (0x7f9c857f7fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #15: + 0x5124446 (0x7f9c84e35446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #16: + 0x1acf4b8 (0x7f9c817e04b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: return forward_call(*args, **kwargs) [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default2]:[rank10]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55d886e1ca2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default1]:[rank9]: frame #17: + 0x5aee004 (0x7f9c857ff004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #18: + 0x5af36b5 (0x7f9c858046b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default5]:[rank13]: dist.recv( [default2]:[rank10]: frame #26: PyObject_Call + 0xbc (0x55d886e28f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #19: + 0xd2631e (0x7f9c983ee31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default1]:[rank9]: frame #20: + 0x47def4 (0x7f9c97b45ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default7]:[rank15]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default1]:[rank9]: frame #21: + 0x1445a6 (0x55a423b725a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default5]:[rank13]: return func(*args, **kwargs) [default2]:[rank10]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55d886e0f2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default5]:[rank13]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [default7]:[rank15]: return forward_call(*args, **kwargs) [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [default1]:[rank9]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55a423b6ba6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default5]:[rank13]: pg.recv([tensor], group_src_rank, tag).wait() [default5]:[rank13]: torch.distributed.DistBackendError: [13] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '12:13', but store->get('12:13') got error: Connection reset by peer [default7]:[rank15]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer [default5]:[rank13]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default2]:[rank10]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55d886e1ca2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: pipeline_state.run_communication() [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default2]:[rank10]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55d886e0d8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #30: + 0x150582 (0x55d886e28582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default5]:[rank13]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f551f988897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default5]:[rank13]: frame #1: + 0x5b3a23e (0x7f55594a523e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55d886e0d8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default0]:[rank8]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default7]:[rank15]: recv_activation_tensor = recv_activation() [default4]:[rank12]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default0]:[rank8]: dist.recv( [default0]:[rank8]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default5]:[rank13]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7f555949fc87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: return self._call_impl(*args, **kwargs) [default0]:[rank8]: return func(*args, **kwargs) [default5]:[rank13]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f555949ff82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f55594a0fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #23: + 0x150866 (0x55a423b7e866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [default2]:[rank10]: frame #32: + 0x150582 (0x55d886e28582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f5559455371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f5559455371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default7]:[rank15]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default0]:[rank8]: pg.recv([tensor], group_src_rank, tag).wait() [default1]:[rank9]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55a423b67142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f5559455371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55d886e0d8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: return forward_call(*args, **kwargs) [default5]:[rank13]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f5559455371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f5520c62189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default2]:[rank10]: frame #34: + 0x150582 (0x55d886e28582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [default1]:[rank9]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55a423b72a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55d886e0d8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f5520c69610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default0]:[rank8]: torch.distributed.DistBackendError: [8] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '7:8', but store->get('7:8') got error: Connection reset by peer [default0]:[rank8]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default0]:[rank8]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fe06f2f4897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default5]:[rank13]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7f5520c88978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default4]:[rank12]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer [default2]:[rank10]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55d886e14f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default1]:[rank9]: frame #26: PyObject_Call + 0xbc (0x55a423b7ef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55a423b652b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55d886e26c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #38: + 0x211239 (0x55d886ee9239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default0]:[rank8]: frame #1: + 0x5b3a23e (0x7fe0a8e1123e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55a423b72a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55d886e15a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default0]:[rank8]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7fe0a8e0bc87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7fe0a8e0bf82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7fe0a8e0cfd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank10]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55d886e113e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: pipeline_state.run_communication() [default7]:[rank15]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default2]:[rank10]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55d886e1ca2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55a423b638fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #12: + 0x5adc309 (0x7f5559447309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default0]:[rank8]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fe0a8dc1371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default5]:[rank13]: frame #13: + 0x5ae6f10 (0x7f5559451f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #30: + 0x150582 (0x55a423b7e582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55a423b638fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: dist.recv( [default7]:[rank15]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default1]:[rank9]: frame #32: + 0x150582 (0x55a423b7e582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55d886e0cc5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: return func(*args, **kwargs) [default0]:[rank8]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fe0a8dc1371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fe0a8dc1371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #14: + 0x5ae6fa5 (0x7f5559451fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #15: + 0x5124446 (0x7f5558a8f446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55a423b638fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [default5]:[rank13]: frame #16: + 0x1acf4b8 (0x7f555543a4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fe0a8dc1371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7fe0705ce189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default2]:[rank10]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55d886e1ca2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55d886e0d8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #34: + 0x150582 (0x55a423b7e582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #17: + 0x5aee004 (0x7f5559459004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: pg.recv([tensor], group_src_rank, tag).wait() [default7]:[rank15]: torch.distributed.DistBackendError: [15] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '14:15', but store->get('14:15') got error: Connection reset by peer [default7]:[rank15]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default1]:[rank9]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55a423b638fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55a423b6af50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: recv_activation_tensor = recv_activation() [default2]:[rank10]: frame #45: + 0x150582 (0x55d886e28582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #46: PyObject_Call + 0xbc (0x55d886e28f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #18: + 0x5af36b5 (0x7f555945e6b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #19: + 0xd2631e (0x7f556c04831e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default7]:[rank15]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f8762d6c897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default1]:[rank9]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55a423b7cc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #1: + 0x5b3a23e (0x7f879c88923e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default2]:[rank10]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55d886e0f2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7fe0705d5610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default7]:[rank15]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7f879c883c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default2]:[rank10]: frame #48: + 0x150582 (0x55d886e28582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7fe0705f4978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default0]:[rank8]: frame #12: + 0x5adc309 (0x7fe0a8db3309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #38: + 0x211239 (0x55a423c3f239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #49: PyObject_Call + 0xbc (0x55d886e28f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55d886e0f2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default5]:[rank13]: frame #20: + 0x47def4 (0x7f556b79fef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default1]:[rank9]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55a423b6ba6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55d886e1ca2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f879c883f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #13: + 0x5ae6f10 (0x7fe0a8dbdf10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55a423b673e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #21: + 0x1445a6 (0x562fe1ca95a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default2]:[rank10]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55d886e15007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f879c884fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f879c839371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f879c839371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default4]:[rank12]: dist.recv( [default4]:[rank12]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default5]:[rank13]: frame #22: _PyObject_MakeTpCall + 0x26b (0x562fe1ca2a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55d886e26c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f879c839371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f879c839371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55a423b72a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #54: + 0x211239 (0x55d886ee9239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: return func(*args, **kwargs) [default4]:[rank12]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [default5]:[rank13]: frame #23: + 0x150866 (0x562fe1cb5866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x562fe1c9e142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: Traceback (most recent call last): [default1]:[rank9]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55a423b62c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f8764046189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default5]:[rank13]: frame #25: _PyFunction_Vectorcall + 0x6c (0x562fe1ca9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #26: PyObject_Call + 0xbc (0x562fe1cb5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55a423b72a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #55: PyObject_Call + 0x207 (0x55d886e29067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: pg.recv([tensor], group_src_rank, tag).wait() [default7]:[rank15]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f876404d610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default0]:[rank8]: frame #14: + 0x5ae6fa5 (0x7fe0a8dbdfa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x562fe1c9c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #28: _PyFunction_Vectorcall + 0x6c (0x562fe1ca9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7f876406c978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default3]:[rank11]: trainer.train(dataloader) [default2]:[rank10]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55d886e0f2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55a423b638fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #15: + 0x5124446 (0x7fe0a83fb446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x562fe1c9a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default7]:[rank15]: frame #12: + 0x5adc309 (0x7f879c82b309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: torch.distributed.DistBackendError: [12] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '11:12', but store->get('11:12') got error: Connection reset by peer [default0]:[rank8]: frame #16: + 0x1acf4b8 (0x7fe0a4da64b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #17: + 0x5aee004 (0x7fe0a8dc5004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #18: + 0x5af36b5 (0x7fe0a8dca6b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: frame #13: + 0x5ae6f10 (0x7f879c835f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #45: + 0x150582 (0x55a423b7e582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #46: PyObject_Call + 0xbc (0x55a423b7ef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #19: + 0xd2631e (0x7fe0bb9b431e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default3]:[rank11]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default2]:[rank10]: frame #57: + 0x150582 (0x55d886e28582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55d886e0d8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #14: + 0x5ae6fa5 (0x7f879c835fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55a423b652b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #20: + 0x47def4 (0x7fe0bb10bef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default0]:[rank8]: frame #21: + 0x1445a6 (0x55a1fe2da5a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank10]: frame #59: + 0x150582 (0x55d886e28582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: outputs = self.pipeline_engine.train_batch_iter( [default5]:[rank13]: frame #30: + 0x150582 (0x562fe1cb5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: Traceback (most recent call last): [default6]:[rank14]: Traceback (most recent call last): [default6]:[rank14]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default2]:[rank10]: frame #60: PyObject_Call + 0xbc (0x55d886e28f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default3]:[rank3]: Traceback (most recent call last): [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default3]:[rank3]: trainer.train(dataloader) [default4]:[rank4]: trainer.train(dataloader) [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default4]:[rank12]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default5]:[rank13]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x562fe1c9a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #15: + 0x5124446 (0x7f879be73446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: 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( [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 [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/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) [default5]:[rank13]: frame #32: + 0x150582 (0x562fe1cb5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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) [default1]:[rank9]: frame #48: + 0x150582 (0x55a423b7e582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #49: PyObject_Call + 0xbc (0x55a423b7ef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [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 [default1]:[rank9]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55a423b652b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default5]:[rank13]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x562fe1c9a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #34: + 0x150582 (0x562fe1cb5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default3]:[rank3]: return forward_call(*args, **kwargs) [default1]:[rank9]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55a423b72a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: return self._call_impl(*args, **kwargs) [default2]:[rank10]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55d886e0f2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default0]:[rank8]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55a1fe2d3a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [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 [default4]:[rank12]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fc665fa2897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default4]:[rank12]: frame #1: + 0x5b3a23e (0x7fc69fabf23e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [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 [default5]:[rank13]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x562fe1c9a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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( [default0]:[rank8]: frame #23: + 0x150866 (0x55a1fe2e6866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [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 [default6]:[rank14]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [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]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default3]:[rank3]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default4]:[rank4]: return forward_call(*args, **kwargs) [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default4]:[rank4]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default4]:[rank12]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7fc69fab9c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer [default7]:[rank15]: frame #16: + 0x1acf4b8 (0x7f879881e4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: frame #17: + 0x5aee004 (0x7f879c83d004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: pipeline_state.run_communication() [default7]:[rank15]: frame #18: + 0x5af36b5 (0x7f879c8426b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default5]:[rank13]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x562fe1ca1f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default4]:[rank12]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7fc69fab9f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default2]:[rank10]: frame #62: + 0x150582 (0x55d886e28582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default3]:[rank3]: recv_activation_tensor = recv_activation() [default3]:[rank11]: output = model(**micro_batch) [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] [default1]:[rank9]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55a423b6b007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default3]:[rank3]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default0]:[rank8]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55a1fe2cf142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default0]:[rank8]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55a1fe2daa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #19: + 0xd2631e (0x7f87af42c31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [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 [default7]:[rank15]: frame #20: + 0x47def4 (0x7f87aeb83ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default3]:[rank11]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default1]:[rank9]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55a423b7cc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #54: + 0x211239 (0x55a423c3f239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default4]:[rank4]: return self._call_impl(*args, **kwargs) [default3]:[rank3]: dist.recv( [default6]:[rank14]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default4]:[rank12]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7fc69fabafd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [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) [default2]:[rank10]: frame #63: PyObject_Call + 0xbc (0x55d886e28f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [default2]:[rank10]: . This may indicate a possible application crash on rank 0 or a network set up issue. [default1]:[rank9]: frame #55: PyObject_Call + 0x207 (0x55a423b7f067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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 [default6]:[rank14]: outputs = self.pipeline_engine.train_batch_iter( [default4]:[rank4]: pipeline_state.run_communication() [default0]:[rank8]: frame #26: PyObject_Call + 0xbc (0x55a1fe2e6f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default5]:[rank13]: frame #37: _PyObject_Call_Prepend + 0x69 (0x562fe1cb3c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #38: + 0x211239 (0x562fe1d76239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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__ [default3]:[rank11]: return self._call_impl(*args, **kwargs) [default7]:[rank15]: frame #21: + 0x1445a6 (0x55855f0af5a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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 [default1]:[rank9]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55a423b652b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default4]:[rank12]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fc69fa6f371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default3]:[rank11]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default6]:[rank14]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default5]:[rank13]: frame #39: _PyObject_MakeTpCall + 0x26b (0x562fe1ca2a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #57: + 0x150582 (0x55a423b7e582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default3]:[rank3]: return func(*args, **kwargs) [default4]:[rank4]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default7]:[rank15]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55855f0a8a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #23: + 0x150866 (0x55855f0bb866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: dist.recv( [default4]:[rank12]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fc69fa6f371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fc69fa6f371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55a423b638fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default6]:[rank14]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default4]:[rank4]: 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 [default0]:[rank8]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55a1fe2cd2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [default3]:[rank11]: return forward_call(*args, **kwargs) [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default4]:[rank4]: pg.recv([tensor], group_src_rank, tag).wait() [default3]:[rank11]: sharded_logits = self.model( [default6]:[rank14]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default6]:[rank14]: output = model(**micro_batch) [default4]:[rank4]: torch.distributed.DistBackendError: [4] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '3:4', but store->get('3:4') got error: Connection reset by peer [default6]:[rank14]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default4]:[rank4]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default6]:[rank14]: return self._call_impl(*args, **kwargs) [default3]:[rank3]: pg.recv([tensor], group_src_rank, tag).wait() [default3]:[rank11]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default4]:[rank4]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f2076c8f897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default7]:[rank15]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55855f0a4142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: torch.distributed.DistBackendError: [3] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '2:3', but store->get('2:3') got error: Connection reset by peer [default1]:[rank9]: frame #59: + 0x150582 (0x55a423b7e582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #1: + 0x5b3a23e (0x7f20b07ac23e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default1]:[rank9]: frame #60: PyObject_Call + 0xbc (0x55a423b7ef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default5]:[rank13]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x562fe1c9e3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default4]:[rank12]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fc69fa6f371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55a1fe2daa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7f20b07a6c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55a1fe2cb8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: return self._call_impl(*args, **kwargs) [default5]:[rank5]: Traceback (most recent call last): [default3]:[rank11]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default5]:[rank13]: frame #41: _PyFunction_Vectorcall + 0x6c (0x562fe1ca9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7fc66727c189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default4]:[rank12]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7fc667283610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default4]:[rank12]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7fc6672a2978 in /fsx/ferdinandmom/miniforge3/envs/env[default3]:[rank3]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f240a45a897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default3]:[rank3]: frame #1: + 0x5b3a23e (0x7f2443f7723e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) -bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default3]:[rank11]: return forward_call(*args, **kwargs) [default7]:[rank15]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55855f0afa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #12: + 0x5adc309 (0x7fc69fa61309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank13]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x562fe1c99c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: return forward_call(*args, **kwargs) [default7]:[rank15]: frame #26: PyObject_Call + 0xbc (0x55855f0bbf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #13: + 0x5ae6f10 (0x7fc69fa6bf10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default3]:[rank11]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default7]:[rank15]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55855f0a22b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55a423b652b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #14: + 0x5ae6fa5 (0x7fc69fa6bfa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default5]:[rank13]: frame #43: _PyFunction_Vectorcall + 0x6c (0x562fe1ca9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55855f0afa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55855f0a08fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #30: + 0x150582 (0x55a1fe2e6582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55a1fe2cb8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default5]:[rank13]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x562fe1c9a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default7]:[rank15]: frame #30: + 0x150582 (0x55855f0bb582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: sharded_logits = self.model( [default6]:[rank14]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default5]:[rank13]: frame #45: + 0x150582 (0x562fe1cb5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55855f0a08fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #32: + 0x150582 (0x55a1fe2e6582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default5]:[rank13]: frame #46: PyObject_Call + 0xbc (0x562fe1cb5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x562fe1c9c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #48: + 0x150582 (0x562fe1cb5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: frame #62: + 0x150582 (0x55a423b7e582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #15: + 0x5124446 (0x7fc69f0a9446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: return self._call_impl(*args, **kwargs) [default3]:[rank11]: return self._call_impl(*args, **kwargs) [default1]:[rank9]: frame #63: PyObject_Call + 0xbc (0x55a423b7ef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #16: + 0x1acf4b8 (0x7fc69ba544b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default7]:[rank15]: frame #32: + 0x150582 (0x55855f0bb582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55a1fe2cb8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default1]:[rank9]: . This may indicate a possible application crash on rank 0 or a network set up issue. [default6]:[rank14]: return forward_call(*args, **kwargs) [default6]:[rank14]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default0]:[rank8]: frame #34: + 0x150582 (0x55a1fe2e6582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55a1fe2cb8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #49: PyObject_Call + 0xbc (0x562fe1cb5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55855f0a08fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default3]:[rank11]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default4]:[rank12]: frame #17: + 0x5aee004 (0x7fc69fa73004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: frame #34: + 0x150582 (0x55855f0bb582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 782, in forward_with_hidden_states [default0]:[rank8]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55a1fe2d2f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x562fe1c9c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: hidden_states = self.final_layer_norm(input=hidden_encoder_states["hidden_states"])["hidden_states"] [default3]:[rank11]: return forward_call(*args, **kwargs) [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [default4]:[rank12]: frame #18: + 0x5af36b5 (0x7fc69fa786b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55a1fe2e4c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #51: _PyFunction_Vectorcall + 0x6c (0x562fe1ca9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default7]:[rank15]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55855f0a08fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default5]:[rank13]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x562fe1ca2007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #53: _PyObject_Call_Prepend + 0x69 (0x562fe1cb3c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55855f0a7f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #38: + 0x211239 (0x55a1fe3a7239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55a1fe2d3a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #54: + 0x211239 (0x562fe1d76239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55855f0b9c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: return self._call_impl(*args, **kwargs) [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer [default3]:[rank11]: pipeline_state.run_communication() [default7]:[rank15]: frame #38: + 0x211239 (0x55855f17c239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default5]:[rank13]: frame #55: PyObject_Call + 0x207 (0x562fe1cb6067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default4]:[rank12]: frame #19: + 0xd2631e (0x7fc6b266231e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default6]:[rank14]: return forward_call(*args, **kwargs) [default3]:[rank11]: recv_activation_tensor = recv_activation() [default7]:[rank15]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55855f0a8a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [default5]:[rank13]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x562fe1c9c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #57: + 0x150582 (0x562fe1cb5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55855f0a43e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55855f0afa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #20: + 0x47def4 (0x7fc6b1db9ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default6]:[rank14]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default6]:[rank14]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer [default6]:[rank14]: pipeline_state.run_communication() [default5]:[rank13]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x562fe1c9a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #59: + 0x150582 (0x562fe1cb5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55855f09fc5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default6]:[rank14]: recv_activation_tensor = recv_activation() [default5]:[rank13]: frame #60: PyObject_Call + 0xbc (0x562fe1cb5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #21: + 0x1445a6 (0x560fac1ab5a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55855f0afa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55a1fe2cf3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default6]:[rank14]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default4]:[rank12]: frame #22: _PyObject_MakeTpCall + 0x26b (0x560fac1a4a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x562fe1c9c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55a1fe2daa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default5]:[rank13]: frame #62: + 0x150582 (0x562fe1cb5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #23: + 0x150866 (0x560fac1b7866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default0]:[rank8]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55a1fe2cac5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55855f0a08fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default6]:[rank14]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default4]:[rank12]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x560fac1a0142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #45: + 0x150582 (0x55855f0bb582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default4]:[rank12]: frame #25: _PyFunction_Vectorcall + 0x6c (0x560fac1aba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55a1fe2daa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55a1fe2cb8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default6]:[rank14]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default7]:[rank15]: frame #46: PyObject_Call + 0xbc (0x55855f0bbf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: frame #63: PyObject_Call + 0xbc (0x562fe1cb5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default4]:[rank12]: frame #26: PyObject_Call + 0xbc (0x560fac1b7f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x560fac19e2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #28: _PyFunction_Vectorcall + 0x6c (0x560fac1aba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55855f0a22b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default3]:[rank11]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default4]:[rank12]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x560fac19c8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #45: + 0x150582 (0x55a1fe2e6582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank13]: . This may indicate a possible application crash on rank 0 or a network set up issue. [default4]:[rank12]: frame #30: + 0x150582 (0x560fac1b7582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #46: PyObject_Call + 0xbc (0x55a1fe2e6f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #48: + 0x150582 (0x55855f0bb582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #49: PyObject_Call + 0xbc (0x55855f0bbf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x560fac19c8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: dist.recv( [default7]:[rank15]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55855f0a22b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #32: + 0x150582 (0x560fac1b7582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default3]:[rank11]: return func(*args, **kwargs) [default6]:[rank14]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default0]:[rank8]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55a1fe2cd2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x560fac19c8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55855f0afa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55855f0a8007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55855f0b9c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #34: + 0x150582 (0x560fac1b7582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x560fac19c8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [default3]:[rank11]: pg.recv([tensor], group_src_rank, tag).wait() [default7]:[rank15]: frame #54: + 0x211239 (0x55855f17c239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x560fac1a3f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #48: + 0x150582 (0x55a1fe2e6582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #49: PyObject_Call + 0xbc (0x55a1fe2e6f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: dist.recv( [default7]:[rank15]: frame #55: _PyObject_MakeTpCall + 0x26b (0x55855f0a8a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #37: _PyObject_Call_Prepend + 0x69 (0x560fac1b5c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: torch.distributed.DistBackendError: [11] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '10:11', but store->get('10:11') got error: Connection reset by peer [default3]:[rank11]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default6]:[rank14]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default0]:[rank8]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55a1fe2cd2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f4391570897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default6]:[rank14]: return func(*args, **kwargs) [default0]:[rank8]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55a1fe2daa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #1: + 0x5b3a23e (0x7f43cb08d23e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: frame #56: _PyEval_EvalFrameDefault + 0x5723 (0x55855f0a4c53 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55a1fe2d3007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7f43cb087c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: frame #38: + 0x211239 (0x560fac278239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55a1fe2e4c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #54: + 0x211239 (0x55a1fe3a7239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #57: + 0x150582 (0x55855f0bb582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [default6]:[rank14]: pg.recv([tensor], group_src_rank, tag).wait() [default7]:[rank15]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55855f0a08fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #39: _PyObject_MakeTpCall + 0x26b (0x560fac1a4a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x560fac1a03e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #41: _PyFunction_Vectorcall + 0x6c (0x560fac1aba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #59: + 0x150582 (0x55855f0bb582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: torch.distributed.DistBackendError: [14] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '13:14', but store->get('13:14') got error: Connection reset by peer [default0]:[rank8]: frame #55: PyObject_Call + 0x207 (0x55a1fe2e7067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f43cb087f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f43cb088fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default0]:[rank8]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55a1fe2cd2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #60: PyObject_Call + 0xbc (0x55855f0bbf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f43cb03d371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f43cb03d371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f43cb03d371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x560fac19bc5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55855f0a22b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f43cb03d371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f439284a189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default4]:[rank12]: frame #43: _PyFunction_Vectorcall + 0x6c (0x560fac1aba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x560fac19c8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank15]: frame #62: + 0x150582 (0x55855f0bb582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f4392851610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default6]:[rank14]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fc4801a5897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default4]:[rank12]: frame #45: + 0x150582 (0x560fac1b7582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7f4392870978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default0]:[rank8]: frame #57: + 0x150582 (0x55a1fe2e6582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #46: PyObject_Call + 0xbc (0x560fac1b7f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x560fac19e2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #12: + 0x5adc309 (0x7f43cb02f309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: frame #63: PyObject_Call + 0xbc (0x55855f0bbf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55a1fe2cb8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #1: + 0x5b3a23e (0x7fc4b9cc223e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank15]: . This may indicate a possible application crash on rank 0 or a network set up issue. [default3]:[rank11]: frame #13: + 0x5ae6f10 (0x7f43cb039f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7fc4b9cbcc87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: frame #48: + 0x150582 (0x560fac1b7582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #14: + 0x5ae6fa5 (0x7f43cb039fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: frame #15: + 0x5124446 (0x7f43ca677446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: frame #16: + 0x1acf4b8 (0x7f43c70224b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7fc4b9cbcf82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7fc4b9cbdfd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: frame #49: PyObject_Call + 0xbc (0x560fac1b7f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x560fac19e2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #51: _PyFunction_Vectorcall + 0x6c (0x560fac1aba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #59: + 0x150582 (0x55a1fe2e6582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #60: PyObject_Call + 0xbc (0x55a1fe2e6f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #17: + 0x5aee004 (0x7f43cb041004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: frame #18: + 0x5af36b5 (0x7f43cb0466b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fc4b9c72371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x560fac1a4007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55a1fe2cd2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fc4b9c72371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank12]: frame #53: _PyObject_Call_Prepend + 0x69 (0x560fac1b5c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #62: + 0x150582 (0x55a1fe2e6582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default0]:[rank8]: frame #63: PyObject_Call + 0xbc (0x55a1fe2e6f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #19: + 0xd2631e (0x7f43ddc3031e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default6]:[rank14]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fc4b9c72371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default0]:[rank8]: . This may indicate a possible application crash on rank 0 or a network set up issue. [default4]:[rank12]: frame #54: + 0x211239 (0x560fac278239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #20: + 0x47def4 (0x7f43dd387ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default4]:[rank12]: frame #55: PyObject_Call + 0x207 (0x560fac1b8067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: trainer.train(dataloader) [default4]:[rank4]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f20b07a6f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fc4b9c72371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7fc48147f189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default4]:[rank12]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x560fac19e2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7f2443f71c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: frame #21: + 0x1445a6 (0x558b35f835a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f2443f71f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7fc481486610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default5]:[rank5]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default3]:[rank11]: frame #22: _PyObject_MakeTpCall + 0x26b (0x558b35f7ca6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f20b07a7fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7fc4814a5978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default6]:[rank14]: frame #12: + 0x5adc309 (0x7fc4b9c64309 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 (0x7f2443f72fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #13: + 0x5ae6f10 (0x7fc4b9c6ef10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: frame #23: + 0x150866 (0x558b35f8f866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #57: + 0x150582 (0x560fac1b7582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x560fac19c8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default4]:[rank4]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f20b075c371 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 (0x7f2443f27371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [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 [default4]:[rank4]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f20b075c371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x558b35f78142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default4]:[rank12]: frame #59: + 0x150582 (0x560fac1b7582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #60: PyObject_Call + 0xbc (0x560fac1b7f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f2443f27371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #14: + 0x5ae6fa5 (0x7fc4b9c6efa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: frame #25: _PyFunction_Vectorcall + 0x6c (0x558b35f83a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f2443f27371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #15: + 0x5124446 (0x7fc4b92ac446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #16: + 0x1acf4b8 (0x7fc4b5c574b8 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 (0x7f2443f27371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: frame #26: PyObject_Call + 0xbc (0x558b35f8ff1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f240b734189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default6]:[rank14]: frame #17: + 0x5aee004 (0x7fc4b9c76004 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 (0x7f20b075c371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x558b35f762b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: Traceback (most recent call last): [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default5]:[rank5]: output = model(**micro_batch) [default6]:[rank14]: frame #18: + 0x5af36b5 (0x7fc4b9c7b6b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default3]:[rank3]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f240b73b610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default6]:[rank6]: trainer.train(dataloader) [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default3]:[rank11]: frame #28: _PyFunction_Vectorcall + 0x6c (0x558b35f83a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default4]:[rank4]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f20b075c371 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 (0x7f2077f69189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default6]:[rank14]: frame #19: + 0xd2631e (0x7fc4cc86531e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default2]:[rank2]: Traceback (most recent call last): [default7]:[rank7]: Traceback (most recent call last): [default3]:[rank11]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x558b35f748fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default6]:[rank14]: frame #20: + 0x47def4 (0x7fc4cbfbcef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default4]:[rank4]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f2077f70610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default4]:[rank4]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7f2077f8f978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default3]:[rank11]: frame #30: + 0x150582 (0x558b35f8f582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x558b35f748fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in [default2]:[rank2]: trainer.train(dataloader) [default3]:[rank11]: frame #32: + 0x150582 (0x558b35f8f582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x560fac19e2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: return self._call_impl(*args, **kwargs) [default4]:[rank12]: frame #62: + 0x150582 (0x560fac1b7582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default3]:[rank3]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7f240b75a978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default4]:[rank4]: frame #12: + 0x5adc309 (0x7f20b074e309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank4]: frame #13: + 0x5ae6f10 (0x7f20b0758f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x558b35f748fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: return forward_call(*args, **kwargs) [default6]:[rank14]: frame #21: + 0x1445a6 (0x5602321865a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: frame #63: PyObject_Call + 0xbc (0x560fac1b7f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank12]: . This may indicate a possible application crash on rank 0 or a network set up issue. [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default6]:[rank14]: frame #22: _PyObject_MakeTpCall + 0x26b (0x56023217fa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #23: + 0x150866 (0x560232192866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x56023217b142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default7]:[rank7]: trainer.train(dataloader) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default6]:[rank14]: frame #25: _PyFunction_Vectorcall + 0x6c (0x560232186a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: sharded_logits = self.model( [default6]:[rank14]: frame #26: PyObject_Call + 0xbc (0x560232192f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x5602321792b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #28: _PyFunction_Vectorcall + 0x6c (0x560232186a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train [default6]:[rank14]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x5602321778fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #30: + 0x150582 (0x560232192582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: outputs, loss_avg = self.training_step(dataloader=self.current_dataloader) [default6]:[rank14]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x5602321778fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #32: + 0x150582 (0x560232192582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #12: + 0x5adc309 (0x7f2443f19309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: frame #13: + 0x5ae6f10 (0x7f2443f23f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default6]:[rank6]: outputs = self.pipeline_engine.train_batch_iter( [default4]:[rank4]: frame #14: + 0x5ae6fa5 (0x7f20b0758fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step [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) [default3]:[rank11]: frame #34: + 0x150582 (0x558b35f8f582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x558b35f748fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: outputs = self.pipeline_engine.train_batch_iter( [default6]:[rank14]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x5602321778fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default3]:[rank3]: frame #14: + 0x5ae6fa5 (0x7f2443f23fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #34: + 0x150582 (0x560232192582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x558b35f7bf50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #15: + 0x5124446 (0x7f2443561446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default6]:[rank14]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x5602321778fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x56023217ef50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default6]:[rank14]: frame #37: _PyObject_Call_Prepend + 0x69 (0x560232190c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #37: _PyObject_Call_Prepend + 0x69 (0x558b35f8dc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #38: + 0x211239 (0x558b36050239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default3]:[rank11]: frame #39: _PyObject_MakeTpCall + 0x26b (0x558b35f7ca6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #38: + 0x211239 (0x560232253239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: return forward_call(*args, **kwargs) [default3]:[rank11]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x558b35f783e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #41: _PyFunction_Vectorcall + 0x6c (0x558b35f83a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default3]:[rank11]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x558b35f73c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #43: _PyFunction_Vectorcall + 0x6c (0x558b35f83a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default3]:[rank11]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x558b35f748fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #45: + 0x150582 (0x558b35f8f582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default3]:[rank11]: frame #46: PyObject_Call + 0xbc (0x558b35f8ff1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x558b35f762b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default3]:[rank11]: frame #48: + 0x150582 (0x558b35f8f582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default6]:[rank14]: frame #39: _PyObject_MakeTpCall + 0x26b (0x56023217fa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #15: + 0x5124446 (0x7f20afd96446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: frame #49: PyObject_Call + 0xbc (0x558b35f8ff1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default6]:[rank6]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default6]:[rank14]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x56023217b3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #16: + 0x1acf4b8 (0x7f243ff0c4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x558b35f762b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #17: + 0x5aee004 (0x7f2443f2b004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #41: _PyFunction_Vectorcall + 0x6c (0x560232186a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: output = model(**micro_batch) [default3]:[rank11]: frame #51: _PyFunction_Vectorcall + 0x6c (0x558b35f83a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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 [default6]:[rank14]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x560232176c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #18: + 0x5af36b5 (0x7f2443f306b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: frame #19: + 0xd2631e (0x7f2456b1a31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default3]:[rank11]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x558b35f7c007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: outputs = self.pipeline_engine.train_batch_iter( [default6]:[rank14]: frame #43: _PyFunction_Vectorcall + 0x6c (0x560232186a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter [default4]:[rank4]: frame #16: + 0x1acf4b8 (0x7f20ac7414b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: return self._call_impl(*args, **kwargs) [default5]:[rank5]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default6]:[rank14]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x5602321778fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #45: + 0x150582 (0x560232192582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model) [default3]:[rank11]: frame #53: _PyObject_Call_Prepend + 0x69 (0x558b35f8dc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default2]:[rank2]: return self._call_impl(*args, **kwargs) [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward [default3]:[rank11]: frame #54: + 0x211239 (0x558b36050239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #46: PyObject_Call + 0xbc (0x560232192f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #17: + 0x5aee004 (0x7f20b0760004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank11]: frame #55: PyObject_Call + 0x207 (0x558b35f90067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x558b35f762b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: output = model(**micro_batch) [default3]:[rank11]: frame #57: + 0x150582 (0x558b35f8f582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x558b35f748fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #20: + 0x47def4 (0x7f2456271ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default3]:[rank3]: frame #21: + 0x1445a6 (0x55a4e87475a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x5602321792b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #18: + 0x5af36b5 (0x7f20b07656b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank14]: frame #48: + 0x150582 (0x560232192582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #49: PyObject_Call + 0xbc (0x560232192f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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]:[rank14]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x5602321792b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #51: _PyFunction_Vectorcall + 0x6c (0x560232186a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default6]:[rank14]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x56023217f007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #19: + 0xd2631e (0x7f20c334f31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default4]:[rank4]: frame #20: + 0x47def4 (0x7f20c2aa6ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default3]:[rank11]: frame #59: + 0x150582 (0x558b35f8f582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: return self._call_impl(*args, **kwargs) [default6]:[rank14]: frame #53: _PyObject_Call_Prepend + 0x69 (0x560232190c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #54: + 0x211239 (0x560232253239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #55: _PyObject_MakeTpCall + 0x26b (0x56023217fa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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 [default5]:[rank5]: return forward_call(*args, **kwargs) [default6]:[rank14]: frame #56: _PyEval_EvalFrameDefault + 0x5723 (0x56023217bc53 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #57: + 0x150582 (0x560232192582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x5602321778fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55a4e8740a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #21: + 0x1445a6 (0x55f5106485a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #59: + 0x150582 (0x560232192582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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 [default7]:[rank7]: return self._call_impl(*args, **kwargs) [default6]:[rank14]: frame #60: PyObject_Call + 0xbc (0x560232192f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x5602321792b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #62: + 0x150582 (0x560232192582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #23: + 0x150866 (0x55a4e8753866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55f510641a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: frame #63: PyObject_Call + 0xbc (0x560232192f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default7]:[rank7]: return forward_call(*args, **kwargs) [default3]:[rank3]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55a4e873c142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55a4e8747a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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 [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default3]:[rank3]: frame #26: PyObject_Call + 0xbc (0x55a4e8753f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55a4e873a2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #60: PyObject_Call + 0xbc (0x558b35f8ff1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x558b35f762b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [default3]:[rank11]: frame #62: + 0x150582 (0x558b35f8f582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank11]: frame #63: PyObject_Call + 0xbc (0x558b35f8ff1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: sharded_logits = self.model( [default3]:[rank11]: . This may indicate a possible application crash on rank 0 or a network set up issue. [default7]:[rank7]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default6]:[rank6]: return forward_call(*args, **kwargs) [default3]:[rank3]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55a4e8747a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank14]: . This may indicate a possible application crash on rank 0 or a network set up issue. [default3]:[rank3]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55a4e87388fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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 [default5]:[rank5]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default3]:[rank3]: frame #30: + 0x150582 (0x55a4e8753582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55a4e87388fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward [default4]:[rank4]: frame #23: + 0x150866 (0x55f510654866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #32: + 0x150582 (0x55a4e8753582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: return self._call_impl(*args, **kwargs) [default6]:[rank6]: sharded_logits = self.model( [default3]:[rank3]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55a4e87388fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default7]:[rank7]: return forward_call(*args, **kwargs) [default6]:[rank6]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default3]:[rank3]: frame #34: + 0x150582 (0x55a4e8753582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55a4e87388fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer [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 [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 [default6]:[rank6]: return forward_call(*args, **kwargs) [default4]:[rank4]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55f51063d142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55f510648a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: recv_activation_tensor = recv_activation() [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 [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward [default2]:[rank2]: return forward_call(*args, **kwargs) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default4]:[rank4]: frame #26: PyObject_Call + 0xbc (0x55f510654f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55f51063b2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55f510648a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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] [default7]:[rank7]: return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0] [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default6]:[rank6]: 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 [default4]:[rank4]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55f5106398fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states [default6]:[rank6]: hidden_encoder_states = encoder_block(**hidden_encoder_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 [default4]:[rank4]: frame #30: + 0x150582 (0x55f510654582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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) [default4]:[rank4]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55f5106398fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #32: + 0x150582 (0x55f510654582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55f5106398fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default3]:[rank3]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55a4e873ff50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: hidden_encoder_states = encoder_block(**hidden_encoder_states) [default4]:[rank4]: frame #34: + 0x150582 (0x55f510654582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default2]:[rank2]: return self._call_impl(*args, **kwargs) [default7]:[rank7]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl [default3]:[rank3]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55a4e8751c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #38: + 0x211239 (0x55a4e8814239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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) [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 [default5]:[rank5]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default5]:[rank5]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default4]:[rank4]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55f5106398fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: return self._call_impl(*args, **kwargs) [default7]:[rank7]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl [default2]:[rank2]: return forward_call(*args, **kwargs) [default4]:[rank4]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55f510640f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55f510652c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: return forward_call(*args, **kwargs) [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [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( [default7]:[rank7]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer [default4]:[rank4]: frame #38: + 0x211239 (0x55f510715239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55f510641a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [default6]:[rank6]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default4]:[rank4]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55f51063d3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55f510648a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55a4e8740a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55a4e873c3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer [default6]:[rank6]: pipeline_state.run_communication() [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward [default5]:[rank5]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default3]:[rank3]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55a4e8747a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55a4e8737c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default7]:[rank7]: pipeline_state.run_communication() [default2]:[rank2]: new_kwargs[name] = recv_from_pipeline_state_buffer( [default4]:[rank4]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55f510638c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55f510648a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: return func(*args, **kwargs) [default3]:[rank3]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55a4e8747a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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__ [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [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() [default5]:[rank5]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [default7]:[rank7]: recv_activation_tensor = recv_activation() [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__ [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication [default4]:[rank4]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55f5106398fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #45: + 0x150582 (0x55f510654582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default4]:[rank4]: frame #46: PyObject_Call + 0xbc (0x55f510654f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55f51063b2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55a4e87388fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #45: + 0x150582 (0x55a4e8753582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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__ [default6]:[rank6]: return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0] [default3]:[rank3]: frame #46: PyObject_Call + 0xbc (0x55a4e8753f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55a4e873a2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: pg.recv([tensor], group_src_rank, tag).wait() [default5]:[rank5]: torch.distributed.DistBackendError: [5] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '4:5', but store->get('4:5') got error: Connection reset by peer [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 [default4]:[rank4]: frame #48: + 0x150582 (0x55f510654582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [default6]:[rank6]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default2]:[rank2]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors [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 (0x7f0a7e56e897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default3]:[rank3]: frame #48: + 0x150582 (0x55a4e8753582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #49: PyObject_Call + 0xbc (0x55f510654f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55f51063b2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55f510648a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default7]:[rank7]: buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag) [default3]:[rank3]: frame #49: PyObject_Call + 0xbc (0x55a4e8753f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #1: + 0x5b3a23e (0x7f0ab808b23e 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::chrono::duration >) + 0x2c7 (0x7f0ab8085c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [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) [default4]:[rank4]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55f510641007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f0ab8085f82 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 (0x7f0ab8086fd1 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 (0x7f0ab803b371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default3]:[rank3]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55a4e873a2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55a4e8747a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors [default7]:[rank7]: meta = self._recv_meta(from_rank=from_rank, tag=tag) [default4]:[rank4]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55f510652c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55a4e8740007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55a4e8751c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #54: + 0x211239 (0x55a4e8814239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f0ab803b371 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 (0x7f0ab803b371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default4]:[rank4]: frame #54: + 0x211239 (0x55f510715239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #55: PyObject_Call + 0x207 (0x55a4e8754067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default3]:[rank3]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55a4e873a2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta [default7]:[rank7]: dist.recv( [default4]:[rank4]: frame #55: PyObject_Call + 0x207 (0x55f510655067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f0ab803b371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [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) [default5]:[rank5]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f0a7f848189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default3]:[rank3]: frame #57: + 0x150582 (0x55a4e8753582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55f51063b2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #57: + 0x150582 (0x55f510654582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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 [default4]:[rank4]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55f5106398fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [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() [default2]:[rank2]: return func(*args, **kwargs) [default3]:[rank3]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55a4e87388fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #59: + 0x150582 (0x55a4e8753582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #59: + 0x150582 (0x55f510654582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper [default5]:[rank5]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f0a7f84f610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [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() [default3]:[rank3]: frame #60: PyObject_Call + 0xbc (0x55a4e8753f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55a4e873a2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #62: + 0x150582 (0x55a4e8753582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: torch.distributed.DistBackendError: [2] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '1:2', but store->get('1:2') got error: Connection reset by peer [default5]:[rank5]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7f0a7f86e978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default5]:[rank5]: frame #12: + 0x5adc309 (0x7f0ab802d309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: torch.distributed.DistBackendError: [6] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '5:6', but store->get('5:6') got error: Connection reset by peer [default4]:[rank4]: frame #60: PyObject_Call + 0xbc (0x55f510654f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default4]:[rank4]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55f51063b2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default3]:[rank3]: frame #63: PyObject_Call + 0xbc (0x55a4e8753f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: return func(*args, **kwargs) [default7]:[rank7]: File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv [default4]:[rank4]: frame #62: + 0x150582 (0x55f510654582 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. [default5]:[rank5]: frame #13: + 0x5ae6f10 (0x7f0ab8037f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [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 (0x7fc602eef897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [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 (0x7f69c681b897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default2]:[rank2]: frame #1: + 0x5b3a23e (0x7fc63ca0c23e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: frame #14: + 0x5ae6fa5 (0x7f0ab8037fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default4]:[rank4]: frame #63: PyObject_Call + 0xbc (0x55f510654f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #15: + 0x5124446 (0x7f0ab7675446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: pg.recv([tensor], group_src_rank, tag).wait() [default2]:[rank2]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7fc63ca06c87 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 (0x7fc63ca06f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: torch.distributed.DistBackendError: [7] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '6:7', but store->get('6:7') got error: Connection reset by peer [default4]:[rank4]: . This may indicate a possible application crash on rank 0 or a network set up issue. [default5]:[rank5]: frame #16: + 0x1acf4b8 (0x7f0ab40204b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first): [default7]:[rank7]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fb11892d897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so) [default5]:[rank5]: frame #17: + 0x5aee004 (0x7f0ab803f004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: frame #18: + 0x5af36b5 (0x7f0ab80446b5 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 (0x7fc63ca07fd1 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 (0x7fc63c9bc371 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 (0x7fc63c9bc371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: frame #19: + 0xd2631e (0x7f0acac2e31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default5]:[rank5]: frame #20: + 0x47def4 (0x7f0aca385ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default7]:[rank7]: frame #1: + 0x5b3a23e (0x7fb15244a23e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7fb152444c87 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 (0x7fc63c9bc371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: frame #1: + 0x5b3a23e (0x7f6a0033823e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: frame #21: + 0x1445a6 (0x5638de2a15a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #22: _PyObject_MakeTpCall + 0x26b (0x5638de29aa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef, std::chrono::duration >) + 0x2c7 (0x7f6a00332c87 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 (0x7f6a00332f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7fb152444f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7fb152445fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fb1523fa371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: frame #23: + 0x150866 (0x5638de2ad866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x5638de296142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fb1523fa371 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 (0x7f6a00333fd1 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 (0x7f6a002e8371 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 (0x7f6a002e8371 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 (0x7fc63c9bc371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: frame #25: _PyFunction_Vectorcall + 0x6c (0x5638de2a1a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #26: PyObject_Call + 0xbc (0x5638de2adf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x5638de2942b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f6a002e8371 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 (0x7f6a002e8371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: frame #28: _PyFunction_Vectorcall + 0x6c (0x5638de2a1a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fb1523fa371 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 (0x7f69c7af5189 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 (0x7f69c7afc610 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 >&, int, int) + 0x5f8 (0x7f69c7b1b978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default5]:[rank5]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x5638de2928fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #30: + 0x150582 (0x5638de2ad582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fb1523fa371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7fb119c07189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default6]:[rank6]: frame #12: + 0x5adc309 (0x7f6a002da309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: frame #13: + 0x5ae6f10 (0x7f6a002e4f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x5638de2928fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #32: + 0x150582 (0x5638de2ad582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7fc6041c9189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default7]:[rank7]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7fb119c0e610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default7]:[rank7]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7fb119c2d978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default5]:[rank5]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x5638de2928fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #34: + 0x150582 (0x5638de2ad582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7fc6041d0610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default5]:[rank5]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x5638de2928fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x5638de299f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #14: + 0x5ae6fa5 (0x7f6a002e4fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: frame #15: + 0x5124446 (0x7f69ff922446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank2]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector >&, int, int) + 0x5f8 (0x7fc6041ef978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so) [default2]:[rank2]: frame #12: + 0x5adc309 (0x7fc63c9ae309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank2]: frame #13: + 0x5ae6f10 (0x7fc63c9b8f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: frame #16: + 0x1acf4b8 (0x7f69fc2cd4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: frame #17: + 0x5aee004 (0x7f6a002ec004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #12: + 0x5adc309 (0x7fb1523ec309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #13: + 0x5ae6f10 (0x7fb1523f6f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: frame #37: _PyObject_Call_Prepend + 0x69 (0x5638de2abc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #38: + 0x211239 (0x5638de36e239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #18: + 0x5af36b5 (0x7f6a002f16b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: frame #19: + 0xd2631e (0x7f6a12edb31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default6]:[rank6]: frame #20: + 0x47def4 (0x7f6a12632ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so) [default5]:[rank5]: frame #39: _PyObject_MakeTpCall + 0x26b (0x5638de29aa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x5638de2963e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #41: _PyFunction_Vectorcall + 0x6c (0x5638de2a1a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #21: + 0x1445a6 (0x55561bde45a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #14: + 0x5ae6fa5 (0x7fc63c9b8fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default6]:[rank6]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55561bddda6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #23: + 0x150866 (0x55561bdf0866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x5638de291c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55561bdd9142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55561bde4a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #43: _PyFunction_Vectorcall + 0x6c (0x5638de2a1a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #14: + 0x5ae6fa5 (0x7fb1523f6fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default7]:[rank7]: frame #15: + 0x5124446 (0x7fb151a34446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default5]:[rank5]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x5638de2928fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default5]:[rank5]: frame #45: + 0x150582 (0x5638de2ad582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #26: PyObject_Call + 0xbc (0x55561bdf0f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55561bdd72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #16: + 0x1acf4b8 (0x7fb14e3df4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank2]: frame #15: + 0x5124446 (0x7fc63bff6446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) [default2]:[rank2]: frame #16: + 0x1acf4b8 (0x7fc6389a14b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so) 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This may indicate a possible application crash on rank 0 or a network set up issue. 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/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #45: + 0x150582 (0x55b521f74582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55b2f50f5c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55b2f5105a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55561bdd72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55561bde4a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55b2f50f68fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55561bddd007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #45: + 0x150582 (0x55b2f5111582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55561bdeec39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #46: PyObject_Call + 0xbc (0x55b2f5111f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #54: + 0x211239 (0x55561beb1239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55b2f50f82b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #46: PyObject_Call + 0xbc (0x55b521f74f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #55: PyObject_Call + 0x207 (0x55561bdf1067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #48: + 0x150582 (0x55b2f5111582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55561bdd72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #49: PyObject_Call + 0xbc (0x55b2f5111f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #57: + 0x150582 (0x55561bdf0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55b2f50f82b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55561bdd58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55b521f5b2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55b2f5105a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #59: + 0x150582 (0x55561bdf0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #48: + 0x150582 (0x55b521f74582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #60: PyObject_Call + 0xbc (0x55561bdf0f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55b2f50fe007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #49: PyObject_Call + 0xbc (0x55b521f74f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55b521f5b2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55561bdd72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55b2f510fc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #54: + 0x211239 (0x55b2f51d2239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #55: PyObject_Call + 0x207 (0x55b2f5112067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #62: + 0x150582 (0x55561bdf0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55b521f68a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default6]:[rank6]: frame #63: PyObject_Call + 0xbc (0x55561bdf0f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55b521f61007 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. [default2]:[rank2]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55b2f50f82b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55b521f72c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #54: + 0x211239 (0x55b522035239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #55: PyObject_Call + 0x207 (0x55b521f75067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #57: + 0x150582 (0x55b2f5111582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55b2f50f68fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #59: + 0x150582 (0x55b2f5111582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55b521f5b2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #57: + 0x150582 (0x55b521f74582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55b521f598fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #59: + 0x150582 (0x55b521f74582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #60: PyObject_Call + 0xbc (0x55b521f74f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55b521f5b2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #60: PyObject_Call + 0xbc (0x55b2f5111f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #62: + 0x150582 (0x55b521f74582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55b2f50f82b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #62: + 0x150582 (0x55b2f5111582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default2]:[rank2]: frame #63: PyObject_Call + 0xbc (0x55b2f5111f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10) [default7]:[rank7]: frame #63: PyObject_Call + 0xbc (0x55b521f74f1c 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. [default7]:[rank7]: . This may indicate a possible application crash on rank 0 or a network set up issue. W0702 19:48:23.303000 139666791012160 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 680231 closing signal SIGTERM W0702 19:48:23.304000 139666791012160 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 680232 closing signal SIGTERM W0702 19:48:23.304000 139666791012160 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 680233 closing signal SIGTERM W0702 19:48:23.305000 139666791012160 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 680234 closing signal SIGTERM W0702 19:48:23.305000 139666791012160 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 680235 closing signal SIGTERM W0702 19:48:23.306000 139666791012160 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 680236 closing signal SIGTERM W0702 19:48:23.306000 139666791012160 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 680237 closing signal SIGTERM E0702 19:48:25.327000 139666791012160 torch/distributed/elastic/multiprocessing/api.py:826] failed (exitcode: 1) local_rank: 0 (pid: 680230) of binary: /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10 Traceback (most recent call last): File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/torchrun", line 8, in sys.exit(main()) File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 347, in wrapper return f(*args, **kwargs) File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 879, in main run(args) File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 870, in run elastic_launch( File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 132, in __call__ return launch_agent(self._config, self._entrypoint, list(args)) File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 263, in launch_agent raise ChildFailedError( torch.distributed.elastic.multiprocessing.errors.ChildFailedError: ============================================================ /fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py FAILED ------------------------------------------------------------ Failures: ------------------------------------------------------------ Root Cause (first observed failure): [0]: time : 2024-07-02_19:48:23 host : ip-26-0-163-147.ec2.internal rank : 0 (local_rank: 0) exitcode : 1 (pid: 680230) error_file: traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html ============================================================ srun: error: ip-26-0-163-147: task 0: Exited with exit code 1 W0702 19:48:28.284000 139919519000320 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1252] The node 'ip-26-0-163-226.ec2.internal_3085974_0' has failed to send a keep-alive heartbeat to the rendezvous 'none' due to an error of type RendezvousConnectionError. E0702 19:48:28.338000 139925185820480 torch/distributed/elastic/multiprocessing/api.py:826] failed (exitcode: 1) local_rank: 0 (pid: 3086043) of binary: /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10 W0702 19:48:28.344000 139925185820480 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1203] The node 'ip-26-0-163-226.ec2.internal_3085974_0' has failed to shutdown the rendezvous 'none' due to an error of type RendezvousConnectionError. W0702 19:48:28.371000 139925185820480 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1203] The node 'ip-26-0-163-226.ec2.internal_3085974_0' has failed to shutdown the rendezvous 'none' due to an error of type RendezvousConnectionError. W0702 19:48:28.398000 139925185820480 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1203] The node 'ip-26-0-163-226.ec2.internal_3085974_0' has failed to shutdown the rendezvous 'none' due to an error of type RendezvousConnectionError. Traceback (most recent call last): File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/torchrun", line 8, in sys.exit(main()) File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 347, in wrapper return f(*args, **kwargs) File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 879, in main run(args) File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 870, in run elastic_launch( File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 132, in __call__ return launch_agent(self._config, self._entrypoint, list(args)) File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 263, in launch_agent raise ChildFailedError( torch.distributed.elastic.multiprocessing.errors.ChildFailedError: ============================================================ /fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py FAILED ------------------------------------------------------------ Failures: [1]: time : 2024-07-02_19:48:28 host : ip-26-0-163-226.ec2.internal rank : 9 (local_rank: 1) exitcode : 1 (pid: 3086044) error_file: traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html [2]: time : 2024-07-02_19:48:28 host : ip-26-0-163-226.ec2.internal rank : 10 (local_rank: 2) exitcode : 1 (pid: 3086045) error_file: traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html [3]: time : 2024-07-02_19:48:28 host : ip-26-0-163-226.ec2.internal rank : 11 (local_rank: 3) exitcode : 1 (pid: 3086046) error_file: traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html [4]: time : 2024-07-02_19:48:28 host : ip-26-0-163-226.ec2.internal rank : 12 (local_rank: 4) exitcode : 1 (pid: 3086047) error_file: traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html [5]: time : 2024-07-02_19:48:28 host : ip-26-0-163-226.ec2.internal rank : 13 (local_rank: 5) exitcode : 1 (pid: 3086048) error_file: traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html [6]: time : 2024-07-02_19:48:28 host : ip-26-0-163-226.ec2.internal rank : 14 (local_rank: 6) exitcode : 1 (pid: 3086049) error_file: traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html [7]: time : 2024-07-02_19:48:28 host : ip-26-0-163-226.ec2.internal rank : 15 (local_rank: 7) exitcode : 1 (pid: 3086050) error_file: traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html ------------------------------------------------------------ Root Cause (first observed failure): [0]: time : 2024-07-02_19:48:28 host : ip-26-0-163-226.ec2.internal rank : 8 (local_rank: 0) exitcode : 1 (pid: 3086043) error_file: traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html ============================================================ srun: error: ip-26-0-163-226: task 1: Exited with exit code 1 Consider using `hf_transfer` for faster uploads. This solution comes with some limitations. See https://huggingface.co/docs/huggingface_hub/hf_transfer for more details.