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========================
START TIME: Wed Jul  3 21:44:04 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
W0703 21:44:06.877000 140656272729920 torch/distributed/run.py:757] 
W0703 21:44:06.877000 140656272729920 torch/distributed/run.py:757] *****************************************
W0703 21:44:06.877000 140656272729920 torch/distributed/run.py:757] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
W0703 21:44:06.877000 140656272729920 torch/distributed/run.py:757] *****************************************
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: Config:
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: Config(general=GeneralArgs(project='bench_cluster',
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                            run='%date_%jobid',
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                            seed=42,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                            step=None,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                            consumed_train_samples=None,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                            benchmark_csv_path=None,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                            ignore_sanity_checks=True),
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:        parallelism=ParallelismArgs(dp=1,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                    pp=8,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                    tp=1,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                    pp_engine=<nanotron.parallel.pipeline_parallel.engine.OneForwardOneBackwardPipelineEngine object at 0x7f03ccbd48e0>,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                    tp_mode=<TensorParallelLinearMode.REDUCE_SCATTER: 2>,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                    tp_linear_async_communication=False,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                    expert_parallel_size=1),
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:        model=ModelArgs(model_config=LlamaConfig(bos_token_id=1,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                 eos_token_id=2,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                 hidden_act='silu',
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                 hidden_size=2048,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                 initializer_range=0.02,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                 intermediate_size=4096,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                 is_llama_config=True,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                 max_position_embeddings=4096,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                 num_attention_heads=32,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                 num_hidden_layers=24,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                 num_key_value_heads=32,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                 pad_token_id=None,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                 pretraining_tp=1,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                 rms_norm_eps=1e-05,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                 rope_scaling=None,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                 rope_theta=10000.0,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                 tie_word_embeddings=True,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                 use_cache=True,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                 vocab_size=50257),
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                        init_method=RandomInit(std=0.025),
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                        dtype=torch.bfloat16,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                        make_vocab_size_divisible_by=1,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                        ddp_bucket_cap_mb=25),
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:        tokenizer=TokenizerArgs(tokenizer_name_or_path='openai-community/gpt2',
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                tokenizer_revision=None,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                tokenizer_max_length=None),
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:        checkpoints=CheckpointsArgs(checkpoints_path=Path('/dev/null'),
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                    checkpoint_interval=100000,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                    save_initial_state=False,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                    resume_checkpoint_path=None,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                    checkpoints_path_is_shared_file_system=False),
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:        logging=LoggingArgs(log_level='info',
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                            log_level_replica='info',
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                            iteration_step_info_interval=1),
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:        tokens=TokensArgs(sequence_length=4096,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                          train_steps=20,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                          micro_batch_size=32,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                          batch_accumulation_per_replica=32,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                          val_check_interval=-1,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                          limit_val_batches=0,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                          limit_test_batches=0),
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:        optimizer=OptimizerArgs(optimizer_factory=AdamWOptimizerArgs(adam_eps=1e-08,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                                     adam_beta1=0.9,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                                     adam_beta2=0.95,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                                     torch_adam_is_fused=True,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                                     name='adamW'),
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                zero_stage=1,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                weight_decay=0.01,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                clip_grad=1.0,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                accumulate_grad_in_fp32=True,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                learning_rate_scheduler=LRSchedulerArgs(learning_rate=0.0001,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                                        lr_warmup_steps=1,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                                        lr_warmup_style='linear',
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                                        lr_decay_style='linear',
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                                        lr_decay_steps=19,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                                        lr_decay_starting_step=None,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                                        min_decay_lr=1e-05)),
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:        data_stages=[DatasetStageArgs(name='Training Stage',
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                      start_training_step=1,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                      data=DataArgs(dataset=PretrainDatasetsArgs(hf_dataset_or_datasets='roneneldan/TinyStories',
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                                                 hf_dataset_splits='train',
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                                                 hf_dataset_config_name=None,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                                                 dataset_processing_num_proc_per_process=64,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                                                 dataset_overwrite_cache=False,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                                                 text_column_name='text'),
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                    seed=42,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:                                                    num_loading_workers=0))],
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:        profiler=ProfilerArgs(profiler_export_path=Path('/fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-1_tp-1_pp-8_mbz-32')),
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:        lighteval=None)
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: Model Config:
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: LlamaConfig(bos_token_id=1,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:             eos_token_id=2,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:             hidden_act='silu',
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:             hidden_size=2048,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:             initializer_range=0.02,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:             intermediate_size=4096,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:             is_llama_config=True,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:             max_position_embeddings=4096,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:             num_attention_heads=32,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:             num_hidden_layers=24,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:             num_key_value_heads=32,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:             pad_token_id=None,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:             pretraining_tp=1,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:             rms_norm_eps=1e-05,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:             rope_scaling=None,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:             rope_theta=10000.0,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:             tie_word_embeddings=True,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:             use_cache=True,
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:             vocab_size=50257)
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: Building model..
[default0]:07/03/2024 21:44:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: Setting PP block ranks...
[default5]:07/03/2024 21:44:38 [INFO|DP=0|PP=5|TP=0|ip-26-0-163-220]: Local number of parameters: 126M (240.02MiB)
[default1]:07/03/2024 21:44:38 [INFO|DP=0|PP=1|TP=0|ip-26-0-163-220]: Local number of parameters: 126M (240.02MiB)
[default1]:07/03/2024 21:44:38 [INFO|DP=0|PP=1|TP=0|ip-26-0-163-220]: [After model building] Memory usage: 243.03MiB. Peak allocated: 245.06MiB Peak reserved: 262.00MiB
[default1]:07/03/2024 21:44:38 [INFO|DP=0|PP=1|TP=0|ip-26-0-163-220]: No checkpoint path provided.
[default5]:07/03/2024 21:44:38 [INFO|DP=0|PP=5|TP=0|ip-26-0-163-220]: [After model building] Memory usage: 243.03MiB. Peak allocated: 245.06MiB Peak reserved: 262.00MiB
[default5]:07/03/2024 21:44:38 [INFO|DP=0|PP=5|TP=0|ip-26-0-163-220]: No checkpoint path provided.
[default3]:07/03/2024 21:44:38 [INFO|DP=0|PP=3|TP=0|ip-26-0-163-220]: Local number of parameters: 168M (320.03MiB)
[default3]:07/03/2024 21:44:38 [INFO|DP=0|PP=3|TP=0|ip-26-0-163-220]: [After model building] Memory usage: 324.04MiB. Peak allocated: 326.07MiB Peak reserved: 336.00MiB
[default6]:07/03/2024 21:44:38 [INFO|DP=0|PP=6|TP=0|ip-26-0-163-220]: Local number of parameters: 168M (320.03MiB)
[default6]:07/03/2024 21:44:38 [INFO|DP=0|PP=6|TP=0|ip-26-0-163-220]: [After model building] Memory usage: 324.04MiB. Peak allocated: 326.07MiB Peak reserved: 336.00MiB
[default0]:07/03/2024 21:44:38 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: Total number of parameters: 1.21G (2312.82MiB)
[default0]:07/03/2024 21:44:38 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: Local number of parameters: 271M (516.35MiB)
[default6]:07/03/2024 21:44:38 [INFO|DP=0|PP=6|TP=0|ip-26-0-163-220]: No checkpoint path provided.
[default0]:07/03/2024 21:44:38 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: [After model building] Memory usage: 520.36MiB. Peak allocated: 522.39MiB Peak reserved: 534.00MiB
[default0]:07/03/2024 21:44:38 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: No checkpoint path provided.
[default0]:07/03/2024 21:44:38 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: Parametrizing model parameters using StandardParametrizator
[default3]:07/03/2024 21:44:38 [INFO|DP=0|PP=3|TP=0|ip-26-0-163-220]: No checkpoint path provided.
[default7]:07/03/2024 21:44:38 [INFO|DP=0|PP=7|TP=0|ip-26-0-163-220]: Local number of parameters: 103M (196.32MiB)
[default7]:07/03/2024 21:44:38 [INFO|DP=0|PP=7|TP=0|ip-26-0-163-220]: [After model building] Memory usage: 196.33MiB. Peak allocated: 196.33MiB Peak reserved: 200.00MiB
[default7]:07/03/2024 21:44:38 [INFO|DP=0|PP=7|TP=0|ip-26-0-163-220]: No checkpoint path provided.
[default2]:07/03/2024 21:44:38 [INFO|DP=0|PP=2|TP=0|ip-26-0-163-220]: Local number of parameters: 126M (240.02MiB)
[default2]:07/03/2024 21:44:38 [INFO|DP=0|PP=2|TP=0|ip-26-0-163-220]: [After model building] Memory usage: 243.03MiB. Peak allocated: 245.06MiB Peak reserved: 262.00MiB
[default2]:07/03/2024 21:44:38 [INFO|DP=0|PP=2|TP=0|ip-26-0-163-220]: No checkpoint path provided.
[default4]:07/03/2024 21:44:38 [INFO|DP=0|PP=4|TP=0|ip-26-0-163-220]: Local number of parameters: 126M (240.02MiB)
[default4]:07/03/2024 21:44:38 [INFO|DP=0|PP=4|TP=0|ip-26-0-163-220]: [After model building] Memory usage: 243.03MiB. Peak allocated: 245.06MiB Peak reserved: 262.00MiB
[default4]:07/03/2024 21:44:38 [INFO|DP=0|PP=4|TP=0|ip-26-0-163-220]: No checkpoint path provided.
[default0]:07/03/2024 21:44:39 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: [Optimizer Building] Using LearningRateForSP as learning rate
[default0]:07/03/2024 21:44:39 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: [ZeRO sharding] Size of optimizer params per rank:
[default0]:07/03/2024 21:44:39 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: [ZeRO sharding] DP Rank 0 has 271M out of 271M (100.00%) params' optimizer states
[default0]:07/03/2024 21:44:39 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: [Training Plan] Stage Training Stage has 19 remaining training steps and has consumed 0 samples
[default0]:07/03/2024 21:44:39 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: Using `datasets` library
[default0]:07/03/2024 21:44:39 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: Loading tokenizer from openai-community/gpt2 and transformers/hf_hub versions ('4.41.2', '0.23.4')
[default0]:Repo card metadata block was not found. Setting CardData to empty.
[default0]:07/03/2024 21:44:40 [WARNING|DP=0|PP=0|TP=0|ip-26-0-163-220]: Repo card metadata block was not found. Setting CardData to empty.
[default0]:07/03/2024 21:44:41 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: [Training Plan] There are 1 training stages 
[default0]:07/03/2024 21:44:41 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: [Stage Training Stage] start from step 1 
[default0]:07/03/2024 21:44:41 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: 
[default0]:07/03/2024 21:44:41 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: [Start training] datetime: 2024-07-03 21:44:41.018009 | mbs: 32 | grad_accum: 32 | global_batch_size: 1024 | sequence_length: 4096 | train_steps: 20 | start_iteration_step: 0 | consumed_train_samples: 0
[default0]:07/03/2024 21:44:41 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]: Resuming training from stage Training Stage, it has trained for 0 samples and has 19 remaining train steps
[default0]:07/03/2024 21:44:41 [INFO|DP=0|PP=0|TP=0|ip-26-0-163-220]:  Memory usage: 2585.75MiB. Peak allocated 2585.75MiB. Peak reserved: 2602.00MiB
[default1]:07/03/2024 21:44:41 [WARNING|DP=0|PP=1|TP=0|ip-26-0-163-220]: Repo card metadata block was not found. Setting CardData to empty.
[default6]:Repo card metadata block was not found. Setting CardData to empty.
[default3]:07/03/2024 21:44:41 [WARNING|DP=0|PP=3|TP=0|ip-26-0-163-220]: Repo card metadata block was not found. Setting CardData to empty.
[default7]:07/03/2024 21:44:41 [WARNING|DP=0|PP=7|TP=0|ip-26-0-163-220]: Repo card metadata block was not found. Setting CardData to empty.
[default6]:07/03/2024 21:44:41 [WARNING|DP=0|PP=6|TP=0|ip-26-0-163-220]: Repo card metadata block was not found. Setting CardData to empty.
[default4]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:Repo card metadata block was not found. Setting CardData to empty.
[default4]:07/03/2024 21:44:41 [WARNING|DP=0|PP=4|TP=0|ip-26-0-163-220]: Repo card metadata block was not found. Setting CardData to empty.
[default7]:Repo card metadata block was not found. Setting CardData to empty.
[default3]:Repo card metadata block was not found. Setting CardData to empty.
[default5]:07/03/2024 21:44:41 [WARNING|DP=0|PP=5|TP=0|ip-26-0-163-220]: Repo card metadata block was not found. Setting CardData to empty.
[default2]:Repo card metadata block was not found. Setting CardData to empty.
[default2]:07/03/2024 21:44:41 [WARNING|DP=0|PP=2|TP=0|ip-26-0-163-220]: Repo card metadata block was not found. Setting CardData to empty.
[default5]:Repo card metadata block was not found. Setting CardData to empty.
[default0]:[rank0]: Traceback (most recent call last):
[default0]:[rank0]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default0]:[rank0]:     trainer.train(dataloader)
[default0]:[rank0]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default0]:[rank0]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default0]:[rank0]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default0]:[rank0]:     outputs = self.pipeline_engine.train_batch_iter(
[default0]:[rank0]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter
[default0]:[rank0]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default0]:[rank0]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default0]:[rank0]:     output = model(**micro_batch)
[default0]:[rank0]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default0]:[rank0]:     return self._call_impl(*args, **kwargs)
[default0]:[rank0]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default0]:[rank0]:     return forward_call(*args, **kwargs)
[default0]:[rank0]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default0]:[rank0]:     sharded_logits = self.model(
[default0]:[rank0]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default0]:[rank0]:     return self._call_impl(*args, **kwargs)
[default0]:[rank0]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default0]:[rank0]:     return forward_call(*args, **kwargs)
[default0]:[rank0]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default0]:[rank0]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default0]:[rank0]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default0]:[rank0]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default0]:[rank0]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default0]:[rank0]:     return self._call_impl(*args, **kwargs)
[default0]:[rank0]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default0]:[rank0]:     return forward_call(*args, **kwargs)
[default0]:[rank0]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 151, in forward
[default0]:[rank0]:     output = self.pp_block(**new_kwargs)
[default0]:[rank0]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default0]:[rank0]:     return self._call_impl(*args, **kwargs)
[default0]:[rank0]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default0]:[rank0]:     return forward_call(*args, **kwargs)
[default0]:[rank0]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 631, in forward
[default0]:[rank0]:     output = self.attn(hidden_states=hidden_states, sequence_mask=sequence_mask)
[default0]:[rank0]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default0]:[rank0]:     return self._call_impl(*args, **kwargs)
[default0]:[rank0]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default0]:[rank0]:     return forward_call(*args, **kwargs)
[default0]:[rank0]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 565, in forward
[default0]:[rank0]:     key_value_states = key_value_states.permute(1, 2, 0, 3, 4).contiguous()
[default0]:[rank0]: torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 1024.00 MiB. GPU 
[default3]:[rank3]: Traceback (most recent call last):
[default3]:[rank3]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default3]:[rank3]:     trainer.train(dataloader)
[default3]:[rank3]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default3]:[rank3]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default3]:[rank3]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default3]:[rank3]:     outputs = self.pipeline_engine.train_batch_iter(
[default3]:[rank3]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter
[default3]:[rank3]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default3]:[rank3]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default3]:[rank3]:     output = model(**micro_batch)
[default3]:[rank3]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default3]:[rank3]:     return self._call_impl(*args, **kwargs)
[default3]:[rank3]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default3]:[rank3]:     return forward_call(*args, **kwargs)
[default3]:[rank3]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default3]:[rank3]:     sharded_logits = self.model(
[default3]:[rank3]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default3]:[rank3]:     return self._call_impl(*args, **kwargs)
[default3]:[rank3]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default3]:[rank3]:     return forward_call(*args, **kwargs)
[default3]:[rank3]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default3]:[rank3]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default3]:[rank3]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default3]:[rank3]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default3]:[rank3]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default3]:[rank3]:     return self._call_impl(*args, **kwargs)
[default3]:[rank3]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default3]:[rank3]:     return forward_call(*args, **kwargs)
[default3]:[rank3]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default3]:[rank3]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default3]:[rank3]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default3]:[rank3]:     pipeline_state.run_communication()
[default3]:[rank3]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default3]:[rank3]:     recv_activation_tensor = recv_activation()
[default3]:[rank3]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default3]:[rank3]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default3]:[rank3]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default3]:[rank3]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default3]:[rank3]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default3]:[rank3]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default3]:[rank3]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default3]:[rank3]:     dist.recv(
[default3]:[rank3]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default3]:[rank3]:     return func(*args, **kwargs)
[default3]:[rank3]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default3]:[rank3]:     pg.recv([tensor], group_src_rank, tag).wait()
[default3]:[rank3]: torch.distributed.DistBackendError: [3] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '2:3', but store->get('2:3') got error: Connection reset by peer
[default3]:[rank3]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default3]:[rank3]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f111c4d0897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default3]:[rank3]: frame #1: <unknown function> + 0x5b3a23e (0x7f1155fed23e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank3]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f1155fe7c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank3]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f1155fe7f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank3]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f1155fe8fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank3]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f1155f9d371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank3]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f1155f9d371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank3]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f1155f9d371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank3]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f1155f9d371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank3]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f111d7aa189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default3]:[rank3]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f111d7b1610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default3]:[rank3]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f111d7d0978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default3]:[rank3]: frame #12: <unknown function> + 0x5adc309 (0x7f1155f8f309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank3]: frame #13: <unknown function> + 0x5ae6f10 (0x7f1155f99f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank3]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f1155f99fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank3]: frame #15: <unknown function> + 0x5124446 (0x7f11555d7446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank3]: frame #16: <unknown function> + 0x1acf4b8 (0x7f1151f824b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank3]: frame #17: <unknown function> + 0x5aee004 (0x7f1155fa1004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank3]: frame #18: <unknown function> + 0x5af36b5 (0x7f1155fa66b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank3]: frame #19: <unknown function> + 0xd2631e (0x7f1168b9031e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default3]:[rank3]: frame #20: <unknown function> + 0x47def4 (0x7f11682e7ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default3]:[rank3]: frame #21: <unknown function> + 0x1445a6 (0x55582e9c35a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55582e9bca6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #23: <unknown function> + 0x150866 (0x55582e9cf866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55582e9b8142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55582e9c3a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #26: PyObject_Call + 0xbc (0x55582e9cff1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55582e9b62b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55582e9c3a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55582e9b48fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #30: <unknown function> + 0x150582 (0x55582e9cf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55582e9b48fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #32: <unknown function> + 0x150582 (0x55582e9cf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55582e9b48fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #34: <unknown function> + 0x150582 (0x55582e9cf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55582e9b48fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55582e9bbf50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55582e9cdc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #38: <unknown function> + 0x211239 (0x55582ea90239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55582e9bca6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55582e9b83e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55582e9c3a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55582e9b3c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55582e9c3a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55582e9b48fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #45: <unknown function> + 0x150582 (0x55582e9cf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #46: PyObject_Call + 0xbc (0x55582e9cff1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55582e9b62b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #48: <unknown function> + 0x150582 (0x55582e9cf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #49: PyObject_Call + 0xbc (0x55582e9cff1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55582e9b62b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55582e9c3a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55582e9bc007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55582e9cdc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #54: <unknown function> + 0x211239 (0x55582ea90239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #55: PyObject_Call + 0x207 (0x55582e9d0067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55582e9b62b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #57: <unknown function> + 0x150582 (0x55582e9cf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55582e9b48fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #59: <unknown function> + 0x150582 (0x55582e9cf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #60: PyObject_Call + 0xbc (0x55582e9cff1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55582e9b62b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #62: <unknown function> + 0x150582 (0x55582e9cf582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: frame #63: PyObject_Call + 0xbc (0x55582e9cff1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank3]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default6]:[rank6]: Traceback (most recent call last):
[default6]:[rank6]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default6]:[rank6]:     trainer.train(dataloader)
[default6]:[rank6]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default6]:[rank6]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default6]:[rank6]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default6]:[rank6]:     outputs = self.pipeline_engine.train_batch_iter(
[default6]:[rank6]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter
[default6]:[rank6]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default6]:[rank6]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default6]:[rank6]:     output = model(**micro_batch)
[default6]:[rank6]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default6]:[rank6]:     return self._call_impl(*args, **kwargs)
[default6]:[rank6]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default6]:[rank6]:     return forward_call(*args, **kwargs)
[default6]:[rank6]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default6]:[rank6]:     sharded_logits = self.model(
[default6]:[rank6]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default6]:[rank6]:     return self._call_impl(*args, **kwargs)
[default6]:[rank6]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default6]:[rank6]:     return forward_call(*args, **kwargs)
[default6]:[rank6]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default6]:[rank6]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default6]:[rank6]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default6]:[rank6]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default6]:[rank6]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default6]:[rank6]:     return self._call_impl(*args, **kwargs)
[default6]:[rank6]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default6]:[rank6]:     return forward_call(*args, **kwargs)
[default6]:[rank6]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default6]:[rank6]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default6]:[rank6]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default6]:[rank6]:     pipeline_state.run_communication()
[default6]:[rank6]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default6]:[rank6]:     recv_activation_tensor = recv_activation()
[default6]:[rank6]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default6]:[rank6]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default6]:[rank6]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default6]:[rank6]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default6]:[rank6]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default6]:[rank6]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default6]:[rank6]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default6]:[rank6]:     dist.recv(
[default6]:[rank6]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default6]:[rank6]:     return func(*args, **kwargs)
[default6]:[rank6]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default6]:[rank6]:     pg.recv([tensor], group_src_rank, tag).wait()
[default6]:[rank6]: torch.distributed.DistBackendError: [6] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '5:6', but store->get('5:6') got error: Connection reset by peer
[default6]:[rank6]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default6]:[rank6]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fb057a4d897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default6]:[rank6]: frame #1: <unknown function> + 0x5b3a23e (0x7fb09156a23e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank6]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7fb091564c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank6]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7fb091564f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank6]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7fb091565fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank6]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fb09151a371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank6]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fb09151a371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank6]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fb09151a371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank6]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fb09151a371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank6]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7fb058d27189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default6]:[rank6]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7fb058d2e610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default6]:[rank6]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7fb058d4d978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default6]:[rank6]: frame #12: <unknown function> + 0x5adc309 (0x7fb09150c309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank6]: frame #13: <unknown function> + 0x5ae6f10 (0x7fb091516f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank6]: frame #14: <unknown function> + 0x5ae6fa5 (0x7fb091516fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank6]: frame #15: <unknown function> + 0x5124446 (0x7fb090b54446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank6]: frame #16: <unknown function> + 0x1acf4b8 (0x7fb08d4ff4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank6]: frame #17: <unknown function> + 0x5aee004 (0x7fb09151e004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank6]: frame #18: <unknown function> + 0x5af36b5 (0x7fb0915236b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank6]: frame #19: <unknown function> + 0xd2631e (0x7fb0a410d31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default6]:[rank6]: frame #20: <unknown function> + 0x47def4 (0x7fb0a3864ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default6]:[rank6]: frame #21: <unknown function> + 0x1445a6 (0x5590ae5e45a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #22: _PyObject_MakeTpCall + 0x26b (0x5590ae5dda6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #23: <unknown function> + 0x150866 (0x5590ae5f0866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x5590ae5d9142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #25: _PyFunction_Vectorcall + 0x6c (0x5590ae5e4a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #26: PyObject_Call + 0xbc (0x5590ae5f0f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x5590ae5d72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #28: _PyFunction_Vectorcall + 0x6c (0x5590ae5e4a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x5590ae5d58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #30: <unknown function> + 0x150582 (0x5590ae5f0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x5590ae5d58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #32: <unknown function> + 0x150582 (0x5590ae5f0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x5590ae5d58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #34: <unknown function> + 0x150582 (0x5590ae5f0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x5590ae5d58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x5590ae5dcf50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #37: _PyObject_Call_Prepend + 0x69 (0x5590ae5eec39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #38: <unknown function> + 0x211239 (0x5590ae6b1239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #39: _PyObject_MakeTpCall + 0x26b (0x5590ae5dda6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x5590ae5d93e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #41: _PyFunction_Vectorcall + 0x6c (0x5590ae5e4a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x5590ae5d4c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #43: _PyFunction_Vectorcall + 0x6c (0x5590ae5e4a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x5590ae5d58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #45: <unknown function> + 0x150582 (0x5590ae5f0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #46: PyObject_Call + 0xbc (0x5590ae5f0f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x5590ae5d72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #48: <unknown function> + 0x150582 (0x5590ae5f0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #49: PyObject_Call + 0xbc (0x5590ae5f0f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x5590ae5d72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #51: _PyFunction_Vectorcall + 0x6c (0x5590ae5e4a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x5590ae5dd007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #53: _PyObject_Call_Prepend + 0x69 (0x5590ae5eec39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #54: <unknown function> + 0x211239 (0x5590ae6b1239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #55: PyObject_Call + 0x207 (0x5590ae5f1067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x5590ae5d72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #57: <unknown function> + 0x150582 (0x5590ae5f0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x5590ae5d58fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #59: <unknown function> + 0x150582 (0x5590ae5f0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #60: PyObject_Call + 0xbc (0x5590ae5f0f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x5590ae5d72b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #62: <unknown function> + 0x150582 (0x5590ae5f0582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: frame #63: PyObject_Call + 0xbc (0x5590ae5f0f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank6]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default4]:[rank4]: Traceback (most recent call last):
[default4]:[rank4]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default4]:[rank4]:     trainer.train(dataloader)
[default4]:[rank4]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default4]:[rank4]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default4]:[rank4]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default4]:[rank4]:     outputs = self.pipeline_engine.train_batch_iter(
[default4]:[rank4]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter
[default4]:[rank4]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default4]:[rank4]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default4]:[rank4]:     output = model(**micro_batch)
[default4]:[rank4]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default4]:[rank4]:     return self._call_impl(*args, **kwargs)
[default4]:[rank4]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default4]:[rank4]:     return forward_call(*args, **kwargs)
[default4]:[rank4]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default4]:[rank4]:     sharded_logits = self.model(
[default4]:[rank4]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default4]:[rank4]:     return self._call_impl(*args, **kwargs)
[default4]:[rank4]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default4]:[rank4]:     return forward_call(*args, **kwargs)
[default4]:[rank4]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default4]:[rank4]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default4]:[rank4]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default4]:[rank4]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default4]:[rank4]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default4]:[rank4]:     return self._call_impl(*args, **kwargs)
[default4]:[rank4]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default4]:[rank4]:     return forward_call(*args, **kwargs)
[default4]:[rank4]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default4]:[rank4]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default4]:[rank4]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default4]:[rank4]:     pipeline_state.run_communication()
[default4]:[rank4]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default4]:[rank4]:     recv_activation_tensor = recv_activation()
[default4]:[rank4]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default4]:[rank4]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default4]:[rank4]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default4]:[rank4]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default4]:[rank4]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default4]:[rank4]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default4]:[rank4]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default4]:[rank4]:     dist.recv(
[default4]:[rank4]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default4]:[rank4]:     return func(*args, **kwargs)
[default4]:[rank4]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default4]:[rank4]:     pg.recv([tensor], group_src_rank, tag).wait()
[default4]:[rank4]: torch.distributed.DistBackendError: [4] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '3:4', but store->get('3:4') got error: Connection reset by peer
[default4]:[rank4]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default4]:[rank4]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7feba0b87897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default4]:[rank4]: frame #1: <unknown function> + 0x5b3a23e (0x7febda6a423e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank4]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7febda69ec87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank4]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7febda69ef82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank4]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7febda69ffd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank4]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7febda654371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank4]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7febda654371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank4]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7febda654371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank4]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7febda654371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank4]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7feba1e61189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default4]:[rank4]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7feba1e68610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default4]:[rank4]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7feba1e87978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default4]:[rank4]: frame #12: <unknown function> + 0x5adc309 (0x7febda646309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank4]: frame #13: <unknown function> + 0x5ae6f10 (0x7febda650f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank4]: frame #14: <unknown function> + 0x5ae6fa5 (0x7febda650fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank4]: frame #15: <unknown function> + 0x5124446 (0x7febd9c8e446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank4]: frame #16: <unknown function> + 0x1acf4b8 (0x7febd66394b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank4]: frame #17: <unknown function> + 0x5aee004 (0x7febda658004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank4]: frame #18: <unknown function> + 0x5af36b5 (0x7febda65d6b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank4]: frame #19: <unknown function> + 0xd2631e (0x7febed24731e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default4]:[rank4]: frame #20: <unknown function> + 0x47def4 (0x7febec99eef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default4]:[rank4]: frame #21: <unknown function> + 0x1445a6 (0x563d1e9355a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #22: _PyObject_MakeTpCall + 0x26b (0x563d1e92ea6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #23: <unknown function> + 0x150866 (0x563d1e941866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x563d1e92a142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #25: _PyFunction_Vectorcall + 0x6c (0x563d1e935a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #26: PyObject_Call + 0xbc (0x563d1e941f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x563d1e9282b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #28: _PyFunction_Vectorcall + 0x6c (0x563d1e935a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x563d1e9268fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #30: <unknown function> + 0x150582 (0x563d1e941582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x563d1e9268fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #32: <unknown function> + 0x150582 (0x563d1e941582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x563d1e9268fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #34: <unknown function> + 0x150582 (0x563d1e941582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x563d1e9268fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x563d1e92df50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #37: _PyObject_Call_Prepend + 0x69 (0x563d1e93fc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #38: <unknown function> + 0x211239 (0x563d1ea02239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #39: _PyObject_MakeTpCall + 0x26b (0x563d1e92ea6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x563d1e92a3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #41: _PyFunction_Vectorcall + 0x6c (0x563d1e935a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x563d1e925c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #43: _PyFunction_Vectorcall + 0x6c (0x563d1e935a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x563d1e9268fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #45: <unknown function> + 0x150582 (0x563d1e941582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #46: PyObject_Call + 0xbc (0x563d1e941f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x563d1e9282b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #48: <unknown function> + 0x150582 (0x563d1e941582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #49: PyObject_Call + 0xbc (0x563d1e941f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x563d1e9282b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #51: _PyFunction_Vectorcall + 0x6c (0x563d1e935a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x563d1e92e007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #53: _PyObject_Call_Prepend + 0x69 (0x563d1e93fc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #54: <unknown function> + 0x211239 (0x563d1ea02239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #55: PyObject_Call + 0x207 (0x563d1e942067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x563d1e9282b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #57: <unknown function> + 0x150582 (0x563d1e941582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x563d1e9268fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #59: <unknown function> + 0x150582 (0x563d1e941582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #60: PyObject_Call + 0xbc (0x563d1e941f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x563d1e9282b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #62: <unknown function> + 0x150582 (0x563d1e941582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: frame #63: PyObject_Call + 0xbc (0x563d1e941f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank4]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default7]:[rank7]: Traceback (most recent call last):
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default7]:[rank7]:     trainer.train(dataloader)
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default7]:[rank7]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default7]:[rank7]:     outputs = self.pipeline_engine.train_batch_iter(
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 278, in train_batch_iter
[default7]:[rank7]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default7]:[rank7]:     output = model(**micro_batch)
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default7]:[rank7]:     return self._call_impl(*args, **kwargs)
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default7]:[rank7]:     return forward_call(*args, **kwargs)
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default7]:[rank7]:     sharded_logits = self.model(
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default7]:[rank7]:     return self._call_impl(*args, **kwargs)
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default7]:[rank7]:     return forward_call(*args, **kwargs)
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default7]:[rank7]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 782, in forward_with_hidden_states
[default7]:[rank7]:     hidden_states = self.final_layer_norm(input=hidden_encoder_states["hidden_states"])["hidden_states"]
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default7]:[rank7]:     return self._call_impl(*args, **kwargs)
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default7]:[rank7]:     return forward_call(*args, **kwargs)
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default7]:[rank7]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default7]:[rank7]:     pipeline_state.run_communication()
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default7]:[rank7]:     recv_activation_tensor = recv_activation()
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default7]:[rank7]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default7]:[rank7]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default7]:[rank7]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default7]:[rank7]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default7]:[rank7]:     dist.recv(
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default7]:[rank7]:     return func(*args, **kwargs)
[default7]:[rank7]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default7]:[rank7]:     pg.recv([tensor], group_src_rank, tag).wait()
[default7]:[rank7]: torch.distributed.DistBackendError: [7] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '6:7', but store->get('6:7') got error: Connection reset by peer
[default7]:[rank7]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default7]:[rank7]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f2ead24c897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default7]:[rank7]: frame #1: <unknown function> + 0x5b3a23e (0x7f2ee6d6923e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank7]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f2ee6d63c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank7]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f2ee6d63f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank7]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f2ee6d64fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank7]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f2ee6d19371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank7]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f2ee6d19371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank7]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f2ee6d19371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank7]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f2ee6d19371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank7]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f2eae526189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:[rank7]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f2eae52d610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:[rank7]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f2eae54c978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:[rank7]: frame #12: <unknown function> + 0x5adc309 (0x7f2ee6d0b309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank7]: frame #13: <unknown function> + 0x5ae6f10 (0x7f2ee6d15f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank7]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f2ee6d15fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank7]: frame #15: <unknown function> + 0x5124446 (0x7f2ee6353446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank7]: frame #16: <unknown function> + 0x1acf4b8 (0x7f2ee2cfe4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank7]: frame #17: <unknown function> + 0x5aee004 (0x7f2ee6d1d004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank7]: frame #18: <unknown function> + 0x5af36b5 (0x7f2ee6d226b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank7]: frame #19: <unknown function> + 0xd2631e (0x7f2ef990c31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default7]:[rank7]: frame #20: <unknown function> + 0x47def4 (0x7f2ef9063ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default7]:[rank7]: frame #21: <unknown function> + 0x1445a6 (0x55fd21a365a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55fd21a2fa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #23: <unknown function> + 0x150866 (0x55fd21a42866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55fd21a2b142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55fd21a36a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #26: PyObject_Call + 0xbc (0x55fd21a42f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55fd21a292b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55fd21a36a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55fd21a278fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #30: <unknown function> + 0x150582 (0x55fd21a42582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55fd21a278fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #32: <unknown function> + 0x150582 (0x55fd21a42582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55fd21a278fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #34: <unknown function> + 0x150582 (0x55fd21a42582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55fd21a278fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55fd21a2ef50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55fd21a40c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #38: <unknown function> + 0x211239 (0x55fd21b03239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55fd21a2fa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55fd21a2b3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55fd21a36a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55fd21a26c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55fd21a36a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55fd21a278fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #45: <unknown function> + 0x150582 (0x55fd21a42582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #46: PyObject_Call + 0xbc (0x55fd21a42f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55fd21a292b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #48: <unknown function> + 0x150582 (0x55fd21a42582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #49: PyObject_Call + 0xbc (0x55fd21a42f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55fd21a292b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55fd21a36a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55fd21a2f007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55fd21a40c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #54: <unknown function> + 0x211239 (0x55fd21b03239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #55: _PyObject_MakeTpCall + 0x26b (0x55fd21a2fa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #56: _PyEval_EvalFrameDefault + 0x5723 (0x55fd21a2bc53 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #57: <unknown function> + 0x150582 (0x55fd21a42582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55fd21a278fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #59: <unknown function> + 0x150582 (0x55fd21a42582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #60: PyObject_Call + 0xbc (0x55fd21a42f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55fd21a292b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #62: <unknown function> + 0x150582 (0x55fd21a42582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: frame #63: PyObject_Call + 0xbc (0x55fd21a42f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank7]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default2]:[rank2]: Traceback (most recent call last):
[default2]:[rank2]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default2]:[rank2]:     trainer.train(dataloader)
[default2]:[rank2]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default2]:[rank2]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default2]:[rank2]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default2]:[rank2]:     outputs = self.pipeline_engine.train_batch_iter(
[default2]:[rank2]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter
[default2]:[rank2]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default2]:[rank2]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default2]:[rank2]:     output = model(**micro_batch)
[default2]:[rank2]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default2]:[rank2]:     return self._call_impl(*args, **kwargs)
[default2]:[rank2]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default2]:[rank2]:     return forward_call(*args, **kwargs)
[default2]:[rank2]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default2]:[rank2]:     sharded_logits = self.model(
[default2]:[rank2]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default2]:[rank2]:     return self._call_impl(*args, **kwargs)
[default2]:[rank2]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default2]:[rank2]:     return forward_call(*args, **kwargs)
[default2]:[rank2]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default2]:[rank2]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default2]:[rank2]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default2]:[rank2]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default2]:[rank2]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default2]:[rank2]:     return self._call_impl(*args, **kwargs)
[default2]:[rank2]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default2]:[rank2]:     return forward_call(*args, **kwargs)
[default2]:[rank2]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default2]:[rank2]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default2]:[rank2]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default2]:[rank2]:     pipeline_state.run_communication()
[default2]:[rank2]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default2]:[rank2]:     recv_activation_tensor = recv_activation()
[default2]:[rank2]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default2]:[rank2]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default2]:[rank2]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default2]:[rank2]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default2]:[rank2]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default2]:[rank2]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default2]:[rank2]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default2]:[rank2]:     dist.recv(
[default2]:[rank2]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default2]:[rank2]:     return func(*args, **kwargs)
[default2]:[rank2]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default2]:[rank2]:     pg.recv([tensor], group_src_rank, tag).wait()
[default2]:[rank2]: torch.distributed.DistBackendError: [2] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '1:2', but store->get('1:2') got error: Connection reset by peer
[default2]:[rank2]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default2]:[rank2]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f0ebb91a897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default2]:[rank2]: frame #1: <unknown function> + 0x5b3a23e (0x7f0ef543723e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank2]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f0ef5431c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank2]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f0ef5431f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank2]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f0ef5432fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank2]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f0ef53e7371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank2]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f0ef53e7371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank2]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f0ef53e7371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank2]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f0ef53e7371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank2]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f0ebcbf4189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default2]:[rank2]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f0ebcbfb610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default2]:[rank2]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f0ebcc1a978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default2]:[rank2]: frame #12: <unknown function> + 0x5adc309 (0x7f0ef53d9309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank2]: frame #13: <unknown function> + 0x5ae6f10 (0x7f0ef53e3f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank2]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f0ef53e3fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank2]: frame #15: <unknown function> + 0x5124446 (0x7f0ef4a21446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank2]: frame #16: <unknown function> + 0x1acf4b8 (0x7f0ef13cc4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank2]: frame #17: <unknown function> + 0x5aee004 (0x7f0ef53eb004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank2]: frame #18: <unknown function> + 0x5af36b5 (0x7f0ef53f06b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank2]: frame #19: <unknown function> + 0xd2631e (0x7f0f07fda31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default2]:[rank2]: frame #20: <unknown function> + 0x47def4 (0x7f0f07731ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default2]:[rank2]: frame #21: <unknown function> + 0x1445a6 (0x561a7d1a95a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #22: _PyObject_MakeTpCall + 0x26b (0x561a7d1a2a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #23: <unknown function> + 0x150866 (0x561a7d1b5866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x561a7d19e142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #25: _PyFunction_Vectorcall + 0x6c (0x561a7d1a9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #26: PyObject_Call + 0xbc (0x561a7d1b5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x561a7d19c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #28: _PyFunction_Vectorcall + 0x6c (0x561a7d1a9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x561a7d19a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #30: <unknown function> + 0x150582 (0x561a7d1b5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x561a7d19a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #32: <unknown function> + 0x150582 (0x561a7d1b5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x561a7d19a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #34: <unknown function> + 0x150582 (0x561a7d1b5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x561a7d19a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x561a7d1a1f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #37: _PyObject_Call_Prepend + 0x69 (0x561a7d1b3c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #38: <unknown function> + 0x211239 (0x561a7d276239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #39: _PyObject_MakeTpCall + 0x26b (0x561a7d1a2a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x561a7d19e3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #41: _PyFunction_Vectorcall + 0x6c (0x561a7d1a9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x561a7d199c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #43: _PyFunction_Vectorcall + 0x6c (0x561a7d1a9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x561a7d19a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #45: <unknown function> + 0x150582 (0x561a7d1b5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #46: PyObject_Call + 0xbc (0x561a7d1b5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x561a7d19c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #48: <unknown function> + 0x150582 (0x561a7d1b5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #49: PyObject_Call + 0xbc (0x561a7d1b5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x561a7d19c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #51: _PyFunction_Vectorcall + 0x6c (0x561a7d1a9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x561a7d1a2007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #53: _PyObject_Call_Prepend + 0x69 (0x561a7d1b3c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #54: <unknown function> + 0x211239 (0x561a7d276239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #55: PyObject_Call + 0x207 (0x561a7d1b6067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x561a7d19c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #57: <unknown function> + 0x150582 (0x561a7d1b5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x561a7d19a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #59: <unknown function> + 0x150582 (0x561a7d1b5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #60: PyObject_Call + 0xbc (0x561a7d1b5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x561a7d19c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #62: <unknown function> + 0x150582 (0x561a7d1b5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: frame #63: PyObject_Call + 0xbc (0x561a7d1b5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank2]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default5]:[rank5]: Traceback (most recent call last):
[default5]:[rank5]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default5]:[rank5]:     trainer.train(dataloader)
[default5]:[rank5]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default5]:[rank5]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default5]:[rank5]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default5]:[rank5]:     outputs = self.pipeline_engine.train_batch_iter(
[default5]:[rank5]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter
[default5]:[rank5]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default5]:[rank5]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default5]:[rank5]:     output = model(**micro_batch)
[default5]:[rank5]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default5]:[rank5]:     return self._call_impl(*args, **kwargs)
[default5]:[rank5]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default5]:[rank5]:     return forward_call(*args, **kwargs)
[default5]:[rank5]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default5]:[rank5]:     sharded_logits = self.model(
[default5]:[rank5]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default5]:[rank5]:     return self._call_impl(*args, **kwargs)
[default5]:[rank5]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default5]:[rank5]:     return forward_call(*args, **kwargs)
[default5]:[rank5]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default5]:[rank5]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default5]:[rank5]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default5]:[rank5]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default5]:[rank5]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default5]:[rank5]:     return self._call_impl(*args, **kwargs)
[default5]:[rank5]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default5]:[rank5]:     return forward_call(*args, **kwargs)
[default5]:[rank5]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default5]:[rank5]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default5]:[rank5]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default5]:[rank5]:     pipeline_state.run_communication()
[default5]:[rank5]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default5]:[rank5]:     recv_activation_tensor = recv_activation()
[default5]:[rank5]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default5]:[rank5]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default5]:[rank5]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default5]:[rank5]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default5]:[rank5]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default5]:[rank5]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default5]:[rank5]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default5]:[rank5]:     dist.recv(
[default5]:[rank5]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default5]:[rank5]:     return func(*args, **kwargs)
[default5]:[rank5]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default5]:[rank5]:     pg.recv([tensor], group_src_rank, tag).wait()
[default5]:[rank5]: torch.distributed.DistBackendError: [5] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '4:5', but store->get('4:5') got error: Connection reset by peer
[default5]:[rank5]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default5]:[rank5]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f628a2ba897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default5]:[rank5]: frame #1: <unknown function> + 0x5b3a23e (0x7f62c3dd723e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank5]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f62c3dd1c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank5]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f62c3dd1f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank5]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f62c3dd2fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank5]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f62c3d87371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank5]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f62c3d87371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank5]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f62c3d87371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank5]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f62c3d87371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank5]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f628b594189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default5]:[rank5]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f628b59b610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default5]:[rank5]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f628b5ba978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default5]:[rank5]: frame #12: <unknown function> + 0x5adc309 (0x7f62c3d79309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank5]: frame #13: <unknown function> + 0x5ae6f10 (0x7f62c3d83f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank5]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f62c3d83fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank5]: frame #15: <unknown function> + 0x5124446 (0x7f62c33c1446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank5]: frame #16: <unknown function> + 0x1acf4b8 (0x7f62bfd6c4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank5]: frame #17: <unknown function> + 0x5aee004 (0x7f62c3d8b004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank5]: frame #18: <unknown function> + 0x5af36b5 (0x7f62c3d906b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank5]: frame #19: <unknown function> + 0xd2631e (0x7f62d697a31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default5]:[rank5]: frame #20: <unknown function> + 0x47def4 (0x7f62d60d1ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default5]:[rank5]: frame #21: <unknown function> + 0x1445a6 (0x557ab1d005a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #22: _PyObject_MakeTpCall + 0x26b (0x557ab1cf9a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #23: <unknown function> + 0x150866 (0x557ab1d0c866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x557ab1cf5142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #25: _PyFunction_Vectorcall + 0x6c (0x557ab1d00a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #26: PyObject_Call + 0xbc (0x557ab1d0cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x557ab1cf32b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #28: _PyFunction_Vectorcall + 0x6c (0x557ab1d00a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x557ab1cf18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #30: <unknown function> + 0x150582 (0x557ab1d0c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x557ab1cf18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #32: <unknown function> + 0x150582 (0x557ab1d0c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x557ab1cf18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #34: <unknown function> + 0x150582 (0x557ab1d0c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x557ab1cf18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x557ab1cf8f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #37: _PyObject_Call_Prepend + 0x69 (0x557ab1d0ac39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #38: <unknown function> + 0x211239 (0x557ab1dcd239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #39: _PyObject_MakeTpCall + 0x26b (0x557ab1cf9a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x557ab1cf53e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #41: _PyFunction_Vectorcall + 0x6c (0x557ab1d00a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x557ab1cf0c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #43: _PyFunction_Vectorcall + 0x6c (0x557ab1d00a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x557ab1cf18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #45: <unknown function> + 0x150582 (0x557ab1d0c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #46: PyObject_Call + 0xbc (0x557ab1d0cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x557ab1cf32b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #48: <unknown function> + 0x150582 (0x557ab1d0c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #49: PyObject_Call + 0xbc (0x557ab1d0cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x557ab1cf32b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #51: _PyFunction_Vectorcall + 0x6c (0x557ab1d00a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x557ab1cf9007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #53: _PyObject_Call_Prepend + 0x69 (0x557ab1d0ac39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #54: <unknown function> + 0x211239 (0x557ab1dcd239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #55: PyObject_Call + 0x207 (0x557ab1d0d067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x557ab1cf32b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #57: <unknown function> + 0x150582 (0x557ab1d0c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x557ab1cf18fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #59: <unknown function> + 0x150582 (0x557ab1d0c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #60: PyObject_Call + 0xbc (0x557ab1d0cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x557ab1cf32b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #62: <unknown function> + 0x150582 (0x557ab1d0c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: frame #63: PyObject_Call + 0xbc (0x557ab1d0cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank5]: . This may indicate a possible application crash on rank 0 or a network set up issue.
W0703 21:44:47.263000 140656272729920 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 394658 closing signal SIGTERM
W0703 21:44:47.263000 140656272729920 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 394659 closing signal SIGTERM
W0703 21:44:47.263000 140656272729920 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 394660 closing signal SIGTERM
W0703 21:44:47.265000 140656272729920 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 394661 closing signal SIGTERM
W0703 21:44:47.265000 140656272729920 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 394662 closing signal SIGTERM
W0703 21:44:47.266000 140656272729920 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 394663 closing signal SIGTERM
W0703 21:44:47.266000 140656272729920 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 394664 closing signal SIGTERM
E0703 21:44:48.575000 140656272729920 torch/distributed/elastic/multiprocessing/api.py:826] failed (exitcode: 1) local_rank: 0 (pid: 394657) of binary: /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10
Traceback (most recent call last):
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/torchrun", line 8, in <module>
    sys.exit(main())
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 347, in wrapper
    return f(*args, **kwargs)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 879, in main
    run(args)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 870, in run
    elastic_launch(
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 132, in __call__
    return launch_agent(self._config, self._entrypoint, list(args))
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 263, in launch_agent
    raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
============================================================
/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py FAILED
------------------------------------------------------------
Failures:
  <NO_OTHER_FAILURES>
------------------------------------------------------------
Root Cause (first observed failure):
[0]:
  time      : 2024-07-03_21:44:47
  host      : ip-26-0-163-220.ec2.internal
  rank      : 0 (local_rank: 0)
  exitcode  : 1 (pid: 394657)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
============================================================
srun: error: ip-26-0-163-220: task 0: Exited with exit code 1
Consider using `hf_transfer` for faster uploads. This solution comes with some limitations. See https://huggingface.co/docs/huggingface_hub/hf_transfer for more details.