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========================
START TIME: Tue Jul  2 14:13:22 UTC 2024
python3 version = Python 3.10.14
========================
The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well.
Token is valid (permission: write).
Your token has been saved to /admin/home/ferdinand_mom/.cache/huggingface/token
Login successful
Already on 'bench_cluster'
M	examples/config_tiny_llama.py
M	examples/config_tiny_llama.yaml
M	examples/train_tiny_llama.sh
M	src/nanotron/models/llama.py
M	src/nanotron/trainer.py
Your branch is up to date with 'origin/bench_cluster'.
Job status: RUNNING
W0702 14:13:25.290000 140465096181568 torch/distributed/run.py:757] 
W0702 14:13:25.290000 140465096181568 torch/distributed/run.py:757] *****************************************
W0702 14:13:25.290000 140465096181568 torch/distributed/run.py:757] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
W0702 14:13:25.290000 140465096181568 torch/distributed/run.py:757] *****************************************
W0702 14:13:25.294000 140241450673984 torch/distributed/run.py:757] 
W0702 14:13:25.294000 140241450673984 torch/distributed/run.py:757] *****************************************
W0702 14:13:25.294000 140241450673984 torch/distributed/run.py:757] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
W0702 14:13:25.294000 140241450673984 torch/distributed/run.py:757] *****************************************
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: Config:
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: Config(general=GeneralArgs(project='bench_cluster',
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                            run='%date_%jobid',
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                            seed=42,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                            step=None,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                            consumed_train_samples=None,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                            benchmark_csv_path=None,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                            ignore_sanity_checks=True),
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:        parallelism=ParallelismArgs(dp=4,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                    pp=4,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                    tp=1,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                    pp_engine=<nanotron.parallel.pipeline_parallel.engine.OneForwardOneBackwardPipelineEngine object at 0x7f7955bd4910>,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                    tp_mode=<TensorParallelLinearMode.REDUCE_SCATTER: 2>,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                    tp_linear_async_communication=False,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                    expert_parallel_size=1),
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:        model=ModelArgs(model_config=LlamaConfig(bos_token_id=1,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                 eos_token_id=2,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                 hidden_act='silu',
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                 hidden_size=2048,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                 initializer_range=0.02,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                 intermediate_size=4096,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                 is_llama_config=True,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                 max_position_embeddings=4096,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                 num_attention_heads=32,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                 num_hidden_layers=24,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                 num_key_value_heads=32,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                 pad_token_id=None,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                 pretraining_tp=1,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                 rms_norm_eps=1e-05,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                 rope_scaling=None,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                 rope_theta=10000.0,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                 tie_word_embeddings=True,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                 use_cache=True,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                 vocab_size=50257),
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                        init_method=RandomInit(std=0.025),
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                        dtype=torch.bfloat16,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                        make_vocab_size_divisible_by=1,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                        ddp_bucket_cap_mb=25),
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:        tokenizer=TokenizerArgs(tokenizer_name_or_path='openai-community/gpt2',
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                tokenizer_revision=None,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                tokenizer_max_length=None),
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:        checkpoints=CheckpointsArgs(checkpoints_path=Path('/dev/null'),
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                    checkpoint_interval=100000,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                    save_initial_state=False,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                    resume_checkpoint_path=None,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                    checkpoints_path_is_shared_file_system=False),
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:        logging=LoggingArgs(log_level='info',
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                            log_level_replica='info',
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                            iteration_step_info_interval=1),
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:        tokens=TokensArgs(sequence_length=4096,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                          train_steps=20,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                          micro_batch_size=16,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                          batch_accumulation_per_replica=16,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                          val_check_interval=-1,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                          limit_val_batches=0,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                          limit_test_batches=0),
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:        optimizer=OptimizerArgs(optimizer_factory=AdamWOptimizerArgs(adam_eps=1e-08,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                                     adam_beta1=0.9,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                                     adam_beta2=0.95,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                                     torch_adam_is_fused=True,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                                     name='adamW'),
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                zero_stage=1,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                weight_decay=0.01,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                clip_grad=1.0,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                accumulate_grad_in_fp32=True,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                learning_rate_scheduler=LRSchedulerArgs(learning_rate=0.0001,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                                        lr_warmup_steps=1,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                                        lr_warmup_style='linear',
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                                        lr_decay_style='linear',
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                                        lr_decay_steps=19,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                                        lr_decay_starting_step=None,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                                        min_decay_lr=1e-05)),
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:        data_stages=[DatasetStageArgs(name='Training Stage',
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                      start_training_step=1,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                      data=DataArgs(dataset=PretrainDatasetsArgs(hf_dataset_or_datasets='roneneldan/TinyStories',
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                                                 hf_dataset_splits='train',
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                                                 hf_dataset_config_name=None,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                                                 dataset_processing_num_proc_per_process=64,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                                                 dataset_overwrite_cache=False,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                                                 text_column_name='text'),
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                    seed=42,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:                                                    num_loading_workers=32))],
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:        profiler=ProfilerArgs(profiler_export_path=Path('/fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/16_GPUS/dp-4_tp-1_pp-4_mbz-16')),
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:        lighteval=None)
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: Model Config:
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: LlamaConfig(bos_token_id=1,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:             eos_token_id=2,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:             hidden_act='silu',
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:             hidden_size=2048,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:             initializer_range=0.02,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:             intermediate_size=4096,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:             is_llama_config=True,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:             max_position_embeddings=4096,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:             num_attention_heads=32,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:             num_hidden_layers=24,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:             num_key_value_heads=32,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:             pad_token_id=None,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:             pretraining_tp=1,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:             rms_norm_eps=1e-05,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:             rope_scaling=None,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:             rope_theta=10000.0,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:             tie_word_embeddings=True,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:             use_cache=True,
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:             vocab_size=50257)
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: Building model..
[default0]:07/02/2024 14:13:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: Setting PP block ranks...
[default4]:07/02/2024 14:13:54 [INFO|DP=0|PP=1|TP=0|ip-26-0-161-178]: Local number of parameters: 294M (560.05MiB)
[default4]:07/02/2024 14:13:54 [INFO|DP=0|PP=1|TP=0|ip-26-0-161-178]: [After model building] Memory usage: 567.07MiB. Peak allocated: 569.10MiB Peak reserved: 594.00MiB
[default4]:07/02/2024 14:13:54 [INFO|DP=0|PP=1|TP=0|ip-26-0-161-178]: No checkpoint path provided.
[default0]:07/02/2024 14:13:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: Total number of parameters: 1.21G (2312.82MiB)
[default0]:07/02/2024 14:13:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: Local number of parameters: 397M (756.37MiB)
[default0]:07/02/2024 14:13:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: [After model building] Memory usage: 763.38MiB. Peak allocated: 765.41MiB Peak reserved: 792.00MiB
[default0]:07/02/2024 14:13:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: No checkpoint path provided.
[default0]:07/02/2024 14:13:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: Parametrizing model parameters using StandardParametrizator
[default4]:07/02/2024 14:13:54 [INFO|DP=0|PP=3|TP=0|ip-26-0-163-147]: Local number of parameters: 271M (516.35MiB)
[default4]:07/02/2024 14:13:54 [INFO|DP=0|PP=3|TP=0|ip-26-0-163-147]: [After model building] Memory usage: 520.36MiB. Peak allocated: 522.39MiB Peak reserved: 534.00MiB
[default4]:07/02/2024 14:13:54 [INFO|DP=0|PP=3|TP=0|ip-26-0-163-147]: No checkpoint path provided.
[default0]:07/02/2024 14:13:54 [INFO|DP=0|PP=2|TP=0|ip-26-0-163-147]: Local number of parameters: 252M (480.05MiB)
[default0]:07/02/2024 14:13:54 [INFO|DP=0|PP=2|TP=0|ip-26-0-163-147]: [After model building] Memory usage: 486.06MiB. Peak allocated: 488.09MiB Peak reserved: 502.00MiB
[default0]:07/02/2024 14:13:54 [INFO|DP=0|PP=2|TP=0|ip-26-0-163-147]: No checkpoint path provided.
[default7]:07/02/2024 14:13:54 [INFO|DP=3|PP=1|TP=0|ip-26-0-161-178]: No checkpoint path provided.
[default3]:07/02/2024 14:13:54 [INFO|DP=3|PP=0|TP=0|ip-26-0-161-178]: No checkpoint path provided.
[default3]:07/02/2024 14:13:54 [INFO|DP=3|PP=2|TP=0|ip-26-0-163-147]: No checkpoint path provided.
[default7]:07/02/2024 14:13:54 [INFO|DP=3|PP=3|TP=0|ip-26-0-163-147]: No checkpoint path provided.
[default1]:07/02/2024 14:13:54 [INFO|DP=1|PP=0|TP=0|ip-26-0-161-178]: No checkpoint path provided.
[default2]:07/02/2024 14:13:54 [INFO|DP=2|PP=0|TP=0|ip-26-0-161-178]: No checkpoint path provided.
[default1]:07/02/2024 14:13:54 [INFO|DP=1|PP=2|TP=0|ip-26-0-163-147]: No checkpoint path provided.
[default2]:07/02/2024 14:13:54 [INFO|DP=2|PP=2|TP=0|ip-26-0-163-147]: No checkpoint path provided.
[default5]:07/02/2024 14:13:54 [INFO|DP=1|PP=3|TP=0|ip-26-0-163-147]: No checkpoint path provided.
[default5]:07/02/2024 14:13:54 [INFO|DP=1|PP=1|TP=0|ip-26-0-161-178]: No checkpoint path provided.
[default6]:07/02/2024 14:13:54 [INFO|DP=2|PP=1|TP=0|ip-26-0-161-178]: No checkpoint path provided.
[default6]:07/02/2024 14:13:54 [INFO|DP=2|PP=3|TP=0|ip-26-0-163-147]: No checkpoint path provided.
[default0]:07/02/2024 14:13:59 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: [Optimizer Building] Using LearningRateForSP as learning rate
[default0]:07/02/2024 14:13:59 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: [ZeRO sharding] Size of optimizer params per rank:
[default0]:07/02/2024 14:13:59 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: [ZeRO sharding] DP Rank 0 has 99.1M out of 397M (25.00%) params' optimizer states
[default0]:07/02/2024 14:13:59 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: [ZeRO sharding] DP Rank 1 has 99.1M out of 397M (25.00%) params' optimizer states
[default0]:07/02/2024 14:13:59 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: [ZeRO sharding] DP Rank 2 has 99.1M out of 397M (25.00%) params' optimizer states
[default0]:07/02/2024 14:13:59 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: [ZeRO sharding] DP Rank 3 has 99.1M out of 397M (25.00%) params' optimizer states
[default0]:07/02/2024 14:14:00 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: [Training Plan] Stage Training Stage has 19 remaining training steps and has consumed 0 samples
[default0]:07/02/2024 14:14:00 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: Using `datasets` library
[default0]:07/02/2024 14:14:00 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: Loading tokenizer from openai-community/gpt2 and transformers/hf_hub versions ('4.41.2', '0.23.4')
[default0]:07/02/2024 14:14:00 [WARNING|DP=0|PP=0|TP=0|ip-26-0-161-178]: Repo card metadata block was not found. Setting CardData to empty.
[default0]:Repo card metadata block was not found. Setting CardData to empty.
[default0]:07/02/2024 14:14:01 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: [Training Plan] There are 1 training stages 
[default0]:07/02/2024 14:14:01 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: [Stage Training Stage] start from step 1 
[default0]:07/02/2024 14:14:01 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: 
[default0]:07/02/2024 14:14:01 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: [Start training] datetime: 2024-07-02 14:14:01.318406 | mbs: 16 | grad_accum: 16 | global_batch_size: 1024 | sequence_length: 4096 | train_steps: 20 | start_iteration_step: 0 | consumed_train_samples: 0
[default0]:07/02/2024 14:14:01 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]: Resuming training from stage Training Stage, it has trained for 0 samples and has 19 remaining train steps
[default0]:07/02/2024 14:14:01 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-178]:  Memory usage: 2654.31MiB. Peak allocated 2654.31MiB. Peak reserved: 2686.00MiB
[default1]:07/02/2024 14:14:01 [WARNING|DP=1|PP=0|TP=0|ip-26-0-161-178]: Repo card metadata block was not found. Setting CardData to empty.
[default7]:07/02/2024 14:14:01 [WARNING|DP=3|PP=1|TP=0|ip-26-0-161-178]: Repo card metadata block was not found. Setting CardData to empty.
[default4]:07/02/2024 14:14:01 [WARNING|DP=0|PP=1|TP=0|ip-26-0-161-178]: Repo card metadata block was not found. Setting CardData to empty.
[default1]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:07/02/2024 14:14:01 [WARNING|DP=1|PP=2|TP=0|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty.
[default7]:07/02/2024 14:14:01 [WARNING|DP=3|PP=3|TP=0|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:07/02/2024 14:14:01 [WARNING|DP=3|PP=0|TP=0|ip-26-0-161-178]: Repo card metadata block was not found. Setting CardData to empty.
[default2]:07/02/2024 14:14:01 [WARNING|DP=2|PP=0|TP=0|ip-26-0-161-178]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:Repo card metadata block was not found. Setting CardData to empty.
[default3]:07/02/2024 14:14:01 [WARNING|DP=3|PP=2|TP=0|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty.
[default1]:Repo card metadata block was not found. Setting CardData to empty.
[default2]:Repo card metadata block was not found. Setting CardData to empty.
[default7]:Repo card metadata block was not found. Setting CardData to empty.
[default5]:07/02/2024 14:14:01 [WARNING|DP=1|PP=1|TP=0|ip-26-0-161-178]: Repo card metadata block was not found. Setting CardData to empty.
[default4]:Repo card metadata block was not found. Setting CardData to empty.
[default5]:07/02/2024 14:14:01 [WARNING|DP=1|PP=3|TP=0|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty.
[default4]:Repo card metadata block was not found. Setting CardData to empty.
[default4]:07/02/2024 14:14:01 [WARNING|DP=0|PP=3|TP=0|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty.
[default5]:Repo card metadata block was not found. Setting CardData to empty.
[default6]:Repo card metadata block was not found. Setting CardData to empty.
[default3]:Repo card metadata block was not found. Setting CardData to empty.
[default6]:07/02/2024 14:14:01 [WARNING|DP=2|PP=1|TP=0|ip-26-0-161-178]: Repo card metadata block was not found. Setting CardData to empty.
[default6]:Repo card metadata block was not found. Setting CardData to empty.
[default7]:Repo card metadata block was not found. Setting CardData to empty.
[default5]:Repo card metadata block was not found. Setting CardData to empty.
[default6]:07/02/2024 14:14:01 [WARNING|DP=2|PP=3|TP=0|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty.
[default2]:07/02/2024 14:14:01 [WARNING|DP=2|PP=2|TP=0|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty.
[default2]:Repo card metadata block was not found. Setting CardData to empty.
[default0]:Repo card metadata block was not found. Setting CardData to empty.
[default0]:07/02/2024 14:14:01 [WARNING|DP=0|PP=2|TP=0|ip-26-0-163-147]: 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 360, in forward
[default0]:[rank0]:     qkv_states = self.qkv_proj(
[default0]:[rank0]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default0]:[rank0]:     return self._call_impl(*args, **kwargs)
[default0]:[rank0]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default0]:[rank0]:     return forward_call(*args, **kwargs)
[default0]:[rank0]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/tensor_parallel/nn.py", line 87, in forward
[default0]:[rank0]:     return column_linear(
[default0]:[rank0]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/tensor_parallel/functional.py", line 359, in column_linear
[default0]:[rank0]:     return F.linear(input, weight, bias)
[default0]:[rank0]: torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 768.00 MiB. GPU 
[default1]:[rank9]: Traceback (most recent call last):
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default1]:[rank9]:     trainer.train(dataloader)
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default1]:[rank9]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default1]:[rank9]:     outputs = self.pipeline_engine.train_batch_iter(
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter
[default1]:[rank9]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default1]:[rank9]:     output = model(**micro_batch)
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default1]:[rank9]:     return self._call_impl(*args, **kwargs)
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default1]:[rank9]:     return forward_call(*args, **kwargs)
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default1]:[rank9]:     sharded_logits = self.model(
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default1]:[rank9]:     return self._call_impl(*args, **kwargs)
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default1]:[rank9]:     return forward_call(*args, **kwargs)
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default1]:[rank9]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default1]:[rank9]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default1]:[rank9]:     return self._call_impl(*args, **kwargs)
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default1]:[rank9]:     return forward_call(*args, **kwargs)
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default1]:[rank9]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default1]:[rank9]:     pipeline_state.run_communication()
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default1]:[rank9]:     recv_activation_tensor = recv_activation()
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default1]:[rank9]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default1]:[rank9]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default1]:[rank9]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default1]:[rank9]:     dist.recv(
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default1]:[rank9]:     return func(*args, **kwargs)
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default1]:[rank9]:     pg.recv([tensor], group_src_rank, tag).wait()
[default1]:[rank9]: 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
[default1]:[rank9]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default1]:[rank9]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f769b7aa897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default1]:[rank9]: frame #1: <unknown function> + 0x5b3a23e (0x7f76d52c723e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f76d52c1c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f76d52c1f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f76d52c2fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f76d5277371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f76d5277371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f76d5277371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f76d5277371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f769ca84189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:[rank9]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f769ca8b610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:[rank9]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f769caaa978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:[rank9]: frame #12: <unknown function> + 0x5adc309 (0x7f76d5269309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #13: <unknown function> + 0x5ae6f10 (0x7f76d5273f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f76d5273fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #15: <unknown function> + 0x5124446 (0x7f76d48b1446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #16: <unknown function> + 0x1acf4b8 (0x7f76d125c4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #17: <unknown function> + 0x5aee004 (0x7f76d527b004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #18: <unknown function> + 0x5af36b5 (0x7f76d52806b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #19: <unknown function> + 0xd2631e (0x7f76e7e6a31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default1]:[rank9]: frame #20: <unknown function> + 0x47def4 (0x7f76e75c1ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default1]:[rank9]: frame #21: <unknown function> + 0x1445a6 (0x5648d80b95a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #22: _PyObject_MakeTpCall + 0x26b (0x5648d80b2a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #23: <unknown function> + 0x150866 (0x5648d80c5866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x5648d80ae142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #25: _PyFunction_Vectorcall + 0x6c (0x5648d80b9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #26: PyObject_Call + 0xbc (0x5648d80c5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x5648d80ac2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #28: _PyFunction_Vectorcall + 0x6c (0x5648d80b9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x5648d80aa8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #30: <unknown function> + 0x150582 (0x5648d80c5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x5648d80aa8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #32: <unknown function> + 0x150582 (0x5648d80c5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x5648d80aa8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #34: <unknown function> + 0x150582 (0x5648d80c5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x5648d80aa8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x5648d80b1f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #37: _PyObject_Call_Prepend + 0x69 (0x5648d80c3c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #38: <unknown function> + 0x211239 (0x5648d8186239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #39: _PyObject_MakeTpCall + 0x26b (0x5648d80b2a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x5648d80ae3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #41: _PyFunction_Vectorcall + 0x6c (0x5648d80b9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x5648d80a9c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #43: _PyFunction_Vectorcall + 0x6c (0x5648d80b9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x5648d80aa8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #45: <unknown function> + 0x150582 (0x5648d80c5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #46: PyObject_Call + 0xbc (0x5648d80c5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x5648d80ac2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #48: <unknown function> + 0x150582 (0x5648d80c5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #49: PyObject_Call + 0xbc (0x5648d80c5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x5648d80ac2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #51: _PyFunction_Vectorcall + 0x6c (0x5648d80b9a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x5648d80b2007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #53: _PyObject_Call_Prepend + 0x69 (0x5648d80c3c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #54: <unknown function> + 0x211239 (0x5648d8186239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #55: PyObject_Call + 0x207 (0x5648d80c6067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x5648d80ac2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #57: <unknown function> + 0x150582 (0x5648d80c5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x5648d80aa8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #59: <unknown function> + 0x150582 (0x5648d80c5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #60: PyObject_Call + 0xbc (0x5648d80c5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x5648d80ac2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #62: <unknown function> + 0x150582 (0x5648d80c5582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #63: PyObject_Call + 0xbc (0x5648d80c5f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default6]:[rank14]: Traceback (most recent call last):
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default6]:[rank14]:     trainer.train(dataloader)
[default5]:[rank13]: Traceback (most recent call last):
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default5]:[rank13]:     trainer.train(dataloader)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default5]:[rank13]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default5]:[rank13]:     outputs = self.pipeline_engine.train_batch_iter(
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 278, in train_batch_iter
[default5]:[rank13]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default5]:[rank13]:     output = model(**micro_batch)
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default5]:[rank13]:     return self._call_impl(*args, **kwargs)
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default5]:[rank13]:     return forward_call(*args, **kwargs)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default5]:[rank13]:     sharded_logits = self.model(
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default5]:[rank13]:     return self._call_impl(*args, **kwargs)
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default5]:[rank13]:     return forward_call(*args, **kwargs)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default5]:[rank13]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default5]:[rank13]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default5]:[rank13]:     return self._call_impl(*args, **kwargs)
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default5]:[rank13]:     return forward_call(*args, **kwargs)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default5]:[rank13]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default5]:[rank13]:     pipeline_state.run_communication()
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default5]:[rank13]:     recv_activation_tensor = recv_activation()
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default5]:[rank13]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default5]:[rank13]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default5]:[rank13]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default5]:[rank13]:     dist.recv(
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default5]:[rank13]:     return func(*args, **kwargs)
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default5]:[rank13]:     pg.recv([tensor], group_src_rank, tag).wait()
[default5]:[rank13]: torch.distributed.DistBackendError: [3] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '2:3', but store->get('2:3') got error: Connection reset by peer
[default5]:[rank13]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default5]:[rank13]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fd0b9775897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default5]:[rank13]: frame #1: <unknown function> + 0x5b3a23e (0x7fd0f329223e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7fd0f328cc87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7fd0f328cf82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7fd0f328dfd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fd0f3242371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fd0f3242371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fd0f3242371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fd0f3242371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7fd0baa4f189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default5]:[rank13]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7fd0baa56610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default5]:[rank13]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7fd0baa75978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default5]:[rank13]: frame #12: <unknown function> + 0x5adc309 (0x7fd0f3234309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #13: <unknown function> + 0x5ae6f10 (0x7fd0f323ef10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #14: <unknown function> + 0x5ae6fa5 (0x7fd0f323efa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #15: <unknown function> + 0x5124446 (0x7fd0f287c446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #16: <unknown function> + 0x1acf4b8 (0x7fd0ef2274b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #17: <unknown function> + 0x5aee004 (0x7fd0f3246004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #18: <unknown function> + 0x5af36b5 (0x7fd0f324b6b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #19: <unknown function> + 0xd2631e (0x7fd105e3531e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default5]:[rank13]: frame #20: <unknown function> + 0x47def4 (0x7fd10558cef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default5]:[rank13]: frame #21: <unknown function> + 0x1445a6 (0x55e80c1305a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55e80c129a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #23: <unknown function> + 0x150866 (0x55e80c13c866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55e80c125142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55e80c130a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #26: PyObject_Call + 0xbc (0x55e80c13cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55e80c1232b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55e80c130a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55e80c1218fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #30: <unknown function> + 0x150582 (0x55e80c13c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55e80c1218fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #32: <unknown function> + 0x150582 (0x55e80c13c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55e80c1218fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #34: <unknown function> + 0x150582 (0x55e80c13c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55e80c1218fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55e80c128f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55e80c13ac39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #38: <unknown function> + 0x211239 (0x55e80c1fd239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55e80c129a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55e80c1253e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55e80c130a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55e80c120c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55e80c130a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55e80c1218fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #45: <unknown function> + 0x150582 (0x55e80c13c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #46: PyObject_Call + 0xbc (0x55e80c13cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55e80c1232b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #48: <unknown function> + 0x150582 (0x55e80c13c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #49: PyObject_Call + 0xbc (0x55e80c13cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55e80c1232b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55e80c130a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55e80c129007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55e80c13ac39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #54: <unknown function> + 0x211239 (0x55e80c1fd239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #55: PyObject_Call + 0x207 (0x55e80c13d067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55e80c1232b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #57: <unknown function> + 0x150582 (0x55e80c13c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55e80c1218fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #59: <unknown function> + 0x150582 (0x55e80c13c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #60: PyObject_Call + 0xbc (0x55e80c13cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55e80c1232b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #62: <unknown function> + 0x150582 (0x55e80c13c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #63: PyObject_Call + 0xbc (0x55e80c13cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default2]:[rank10]: Traceback (most recent call last):
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default2]:[rank10]:     trainer.train(dataloader)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default2]:[rank10]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default2]:[rank10]:     outputs = self.pipeline_engine.train_batch_iter(
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter
[default2]:[rank10]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default2]:[rank10]:     output = model(**micro_batch)
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default2]:[rank10]:     return self._call_impl(*args, **kwargs)
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default2]:[rank10]:     return forward_call(*args, **kwargs)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default2]:[rank10]:     sharded_logits = self.model(
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default2]:[rank10]:     return self._call_impl(*args, **kwargs)
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default2]:[rank10]:     return forward_call(*args, **kwargs)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default2]:[rank10]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default2]:[rank10]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default2]:[rank10]:     return self._call_impl(*args, **kwargs)
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default2]:[rank10]:     return forward_call(*args, **kwargs)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default2]:[rank10]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default2]:[rank10]:     pipeline_state.run_communication()
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default2]:[rank10]:     recv_activation_tensor = recv_activation()
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default2]:[rank10]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default2]:[rank10]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default2]:[rank10]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default2]:[rank10]:     dist.recv(
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default2]:[rank10]:     return func(*args, **kwargs)
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default2]:[rank10]:     pg.recv([tensor], group_src_rank, tag).wait()
[default2]:[rank10]: torch.distributed.DistBackendError: [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]:[rank10]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default2]:[rank10]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f42515c7897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default2]:[rank10]: frame #1: <unknown function> + 0x5b3a23e (0x7f428b0e423e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f428b0dec87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f428b0def82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f428b0dffd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f428b094371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f428b094371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f428b094371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f428b094371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f42528a1189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default2]:[rank10]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f42528a8610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default2]:[rank10]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f42528c7978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default2]:[rank10]: frame #12: <unknown function> + 0x5adc309 (0x7f428b086309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #13: <unknown function> + 0x5ae6f10 (0x7f428b090f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default6]:[rank14]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default7]:[rank15]: Traceback (most recent call last):
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default7]:[rank15]:     trainer.train(dataloader)
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default7]:[rank15]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default7]:[rank15]:     outputs = self.pipeline_engine.train_batch_iter(
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 278, in train_batch_iter
[default7]:[rank15]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default7]:[rank15]:     output = model(**micro_batch)
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default7]:[rank15]:     return self._call_impl(*args, **kwargs)
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default7]:[rank15]:     return forward_call(*args, **kwargs)
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default7]:[rank15]:     sharded_logits = self.model(
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default7]:[rank15]:     return self._call_impl(*args, **kwargs)
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default7]:[rank15]:     return forward_call(*args, **kwargs)
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default7]:[rank15]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default7]:[rank15]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default7]:[rank15]:     return self._call_impl(*args, **kwargs)
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default7]:[rank15]:     return forward_call(*args, **kwargs)
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default7]:[rank15]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default7]:[rank15]:     pipeline_state.run_communication()
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default7]:[rank15]:     recv_activation_tensor = recv_activation()
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default7]:[rank15]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default7]:[rank15]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default7]:[rank15]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default7]:[rank15]:     dist.recv(
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default7]:[rank15]:     return func(*args, **kwargs)
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default7]:[rank15]:     pg.recv([tensor], group_src_rank, tag).wait()
[default7]:[rank15]: 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
[default7]:[rank15]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default7]:[rank15]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f8a5c09c897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default7]:[rank15]: frame #1: <unknown function> + 0x5b3a23e (0x7f8a95bb923e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f8a95bb3c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f8a95bb3f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f8a95bb4fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f8a95b69371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f8a95b69371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f8a95b69371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f8a95b69371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f8a5d376189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:[rank15]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f8a5d37d610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:[rank15]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f8a5d39c978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:[rank15]: frame #12: <unknown function> + 0x5adc309 (0x7f8a95b5b309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #13: <unknown function> + 0x5ae6f10 (0x7f8a95b65f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f8a95b65fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #15: <unknown function> + 0x5124446 (0x7f8a951a3446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #16: <unknown function> + 0x1acf4b8 (0x7f8a91b4e4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #17: <unknown function> + 0x5aee004 (0x7f8a95b6d004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #18: <unknown function> + 0x5af36b5 (0x7f8a95b726b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #19: <unknown function> + 0xd2631e (0x7f8aa875c31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default7]:[rank15]: frame #20: <unknown function> + 0x47def4 (0x7f8aa7eb3ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default7]:[rank15]: frame #21: <unknown function> + 0x1445a6 (0x55d80c72b5a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55d80c724a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #23: <unknown function> + 0x150866 (0x55d80c737866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55d80c720142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55d80c72ba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #26: PyObject_Call + 0xbc (0x55d80c737f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55d80c71e2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55d80c72ba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55d80c71c8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #30: <unknown function> + 0x150582 (0x55d80c737582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55d80c71c8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #32: <unknown function> + 0x150582 (0x55d80c737582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55d80c71c8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #34: <unknown function> + 0x150582 (0x55d80c737582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55d80c71c8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55d80c723f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55d80c735c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #38: <unknown function> + 0x211239 (0x55d80c7f8239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55d80c724a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55d80c7203e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55d80c72ba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55d80c71bc5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55d80c72ba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55d80c71c8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #45: <unknown function> + 0x150582 (0x55d80c737582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #46: PyObject_Call + 0xbc (0x55d80c737f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55d80c71e2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #48: <unknown function> + 0x150582 (0x55d80c737582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #49: PyObject_Call + 0xbc (0x55d80c737f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55d80c71e2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55d80c72ba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55d80c724007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55d80c735c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #54: <unknown function> + 0x211239 (0x55d80c7f8239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #55: PyObject_Call + 0x207 (0x55d80c738067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55d80c71e2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #57: <unknown function> + 0x150582 (0x55d80c737582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55d80c71c8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #59: <unknown function> + 0x150582 (0x55d80c737582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #60: PyObject_Call + 0xbc (0x55d80c737f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55d80c71e2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #62: <unknown function> + 0x150582 (0x55d80c737582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #63: PyObject_Call + 0xbc (0x55d80c737f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default2]:[rank10]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f428b090fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #15: <unknown function> + 0x5124446 (0x7f428a6ce446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #16: <unknown function> + 0x1acf4b8 (0x7f42870794b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #17: <unknown function> + 0x5aee004 (0x7f428b098004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #18: <unknown function> + 0x5af36b5 (0x7f428b09d6b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #19: <unknown function> + 0xd2631e (0x7f429dc8731e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default2]:[rank10]: frame #20: <unknown function> + 0x47def4 (0x7f429d3deef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default2]:[rank10]: frame #21: <unknown function> + 0x1445a6 (0x55c0f7c3b5a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55c0f7c34a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #23: <unknown function> + 0x150866 (0x55c0f7c47866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55c0f7c30142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55c0f7c3ba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #26: PyObject_Call + 0xbc (0x55c0f7c47f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55c0f7c2e2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55c0f7c3ba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55c0f7c2c8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #30: <unknown function> + 0x150582 (0x55c0f7c47582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55c0f7c2c8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #32: <unknown function> + 0x150582 (0x55c0f7c47582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55c0f7c2c8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #34: <unknown function> + 0x150582 (0x55c0f7c47582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55c0f7c2c8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55c0f7c33f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55c0f7c45c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #38: <unknown function> + 0x211239 (0x55c0f7d08239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55c0f7c34a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55c0f7c303e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55c0f7c3ba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55c0f7c2bc5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55c0f7c3ba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55c0f7c2c8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #45: <unknown function> + 0x150582 (0x55c0f7c47582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #46: PyObject_Call + 0xbc (0x55c0f7c47f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55c0f7c2e2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #48: <unknown function> + 0x150582 (0x55c0f7c47582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #49: PyObject_Call + 0xbc (0x55c0f7c47f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55c0f7c2e2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55c0f7c3ba2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55c0f7c34007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55c0f7c45c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #54: <unknown function> + 0x211239 (0x55c0f7d08239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #55: PyObject_Call + 0x207 (0x55c0f7c48067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55c0f7c2e2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #57: <unknown function> + 0x150582 (0x55c0f7c47582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55c0f7c2c8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #59: <unknown function> + 0x150582 (0x55c0f7c47582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #60: PyObject_Call + 0xbc (0x55c0f7c47f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55c0f7c2e2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #62: <unknown function> + 0x150582 (0x55c0f7c47582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #63: PyObject_Call + 0xbc (0x55c0f7c47f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default6]:[rank14]:     outputs = self.pipeline_engine.train_batch_iter(
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 278, in train_batch_iter
[default6]:[rank14]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default6]:[rank14]:     output = model(**micro_batch)
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default6]:[rank14]:     return self._call_impl(*args, **kwargs)
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default6]:[rank14]:     return forward_call(*args, **kwargs)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default6]:[rank14]:     sharded_logits = self.model(
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default6]:[rank14]:     return self._call_impl(*args, **kwargs)
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default6]:[rank14]:     return forward_call(*args, **kwargs)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default6]:[rank14]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default6]:[rank14]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default6]:[rank14]:     return self._call_impl(*args, **kwargs)
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default6]:[rank14]:     return forward_call(*args, **kwargs)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default6]:[rank14]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default6]:[rank14]:     pipeline_state.run_communication()
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default6]:[rank14]:     recv_activation_tensor = recv_activation()
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default6]:[rank14]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default6]:[rank14]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default6]:[rank14]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default6]:[rank14]:     dist.recv(
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default6]:[rank14]:     return func(*args, **kwargs)
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default6]:[rank14]:     pg.recv([tensor], group_src_rank, tag).wait()
[default6]:[rank14]: torch.distributed.DistBackendError: [3] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '2:3', but store->get('2:3') got error: Connection reset by peer
[default6]:[rank14]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default6]:[rank14]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f57f5075897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default6]:[rank14]: frame #1: <unknown function> + 0x5b3a23e (0x7f582eb9223e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f582eb8cc87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f582eb8cf82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f582eb8dfd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f582eb42371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f582eb42371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f582eb42371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f582eb42371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f57f634f189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default6]:[rank14]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f57f6356610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default6]:[rank14]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f57f6375978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default6]:[rank14]: frame #12: <unknown function> + 0x5adc309 (0x7f582eb34309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #13: <unknown function> + 0x5ae6f10 (0x7f582eb3ef10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f582eb3efa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #15: <unknown function> + 0x5124446 (0x7f582e17c446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #16: <unknown function> + 0x1acf4b8 (0x7f582ab274b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #17: <unknown function> + 0x5aee004 (0x7f582eb46004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #18: <unknown function> + 0x5af36b5 (0x7f582eb4b6b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #19: <unknown function> + 0xd2631e (0x7f584173531e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default6]:[rank14]: frame #20: <unknown function> + 0x47def4 (0x7f5840e8cef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default6]:[rank14]: frame #21: <unknown function> + 0x1445a6 (0x55cfceae65a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55cfceadfa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #23: <unknown function> + 0x150866 (0x55cfceaf2866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55cfceadb142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #25: _PyFunction_Vectorcall + 0x6c (0x55cfceae6a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #26: PyObject_Call + 0xbc (0x55cfceaf2f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55cfcead92b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #28: _PyFunction_Vectorcall + 0x6c (0x55cfceae6a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55cfcead78fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #30: <unknown function> + 0x150582 (0x55cfceaf2582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55cfcead78fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #32: <unknown function> + 0x150582 (0x55cfceaf2582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55cfcead78fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #34: <unknown function> + 0x150582 (0x55cfceaf2582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55cfcead78fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55cfceadef50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55cfceaf0c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #38: <unknown function> + 0x211239 (0x55cfcebb3239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55cfceadfa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55cfceadb3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #41: _PyFunction_Vectorcall + 0x6c (0x55cfceae6a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55cfcead6c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #43: _PyFunction_Vectorcall + 0x6c (0x55cfceae6a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55cfcead78fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #45: <unknown function> + 0x150582 (0x55cfceaf2582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #46: PyObject_Call + 0xbc (0x55cfceaf2f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55cfcead92b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #48: <unknown function> + 0x150582 (0x55cfceaf2582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #49: PyObject_Call + 0xbc (0x55cfceaf2f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55cfcead92b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #51: _PyFunction_Vectorcall + 0x6c (0x55cfceae6a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55cfceadf007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55cfceaf0c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #54: <unknown function> + 0x211239 (0x55cfcebb3239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #55: PyObject_Call + 0x207 (0x55cfceaf3067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55cfcead92b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #57: <unknown function> + 0x150582 (0x55cfceaf2582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55cfcead78fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #59: <unknown function> + 0x150582 (0x55cfceaf2582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #60: PyObject_Call + 0xbc (0x55cfceaf2f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55cfcead92b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #62: <unknown function> + 0x150582 (0x55cfceaf2582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #63: PyObject_Call + 0xbc (0x55cfceaf2f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default3]:[rank11]: Traceback (most recent call last):
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default3]:[rank11]:     trainer.train(dataloader)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default3]:[rank11]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default3]:[rank11]:     outputs = self.pipeline_engine.train_batch_iter(
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter
[default3]:[rank11]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default3]:[rank11]:     output = model(**micro_batch)
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default3]:[rank11]:     return self._call_impl(*args, **kwargs)
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default3]:[rank11]:     return forward_call(*args, **kwargs)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default3]:[rank11]:     sharded_logits = self.model(
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default3]:[rank11]:     return self._call_impl(*args, **kwargs)
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default3]:[rank11]:     return forward_call(*args, **kwargs)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default3]:[rank11]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default3]:[rank11]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default3]:[rank11]:     return self._call_impl(*args, **kwargs)
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default3]:[rank11]:     return forward_call(*args, **kwargs)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default3]:[rank11]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default3]:[rank11]:     pipeline_state.run_communication()
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default3]:[rank11]:     recv_activation_tensor = recv_activation()
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default3]:[rank11]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default3]:[rank11]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default3]:[rank11]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default3]:[rank11]:     dist.recv(
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default3]:[rank11]:     return func(*args, **kwargs)
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default3]:[rank11]:     pg.recv([tensor], group_src_rank, tag).wait()
[default3]:[rank11]: 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
[default3]:[rank11]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default3]:[rank11]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f3b7f15c897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default3]:[rank11]: frame #1: <unknown function> + 0x5b3a23e (0x7f3bb8c7923e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f3bb8c73c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f3bb8c73f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f3bb8c74fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f3bb8c29371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f3bb8c29371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f3bb8c29371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f3bb8c29371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f3b80436189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default3]:[rank11]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f3b8043d610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default3]:[rank11]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f3b8045c978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default3]:[rank11]: frame #12: <unknown function> + 0x5adc309 (0x7f3bb8c1b309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #13: <unknown function> + 0x5ae6f10 (0x7f3bb8c25f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f3bb8c25fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #15: <unknown function> + 0x5124446 (0x7f3bb8263446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #16: <unknown function> + 0x1acf4b8 (0x7f3bb4c0e4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #17: <unknown function> + 0x5aee004 (0x7f3bb8c2d004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #18: <unknown function> + 0x5af36b5 (0x7f3bb8c326b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #19: <unknown function> + 0xd2631e (0x7f3bcb81c31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default3]:[rank11]: frame #20: <unknown function> + 0x47def4 (0x7f3bcaf73ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default3]:[rank11]: frame #21: <unknown function> + 0x1445a6 (0x5649baff25a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #22: _PyObject_MakeTpCall + 0x26b (0x5649bafeba6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #23: <unknown function> + 0x150866 (0x5649baffe866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x5649bafe7142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #25: _PyFunction_Vectorcall + 0x6c (0x5649baff2a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #26: PyObject_Call + 0xbc (0x5649baffef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x5649bafe52b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #28: _PyFunction_Vectorcall + 0x6c (0x5649baff2a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x5649bafe38fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #30: <unknown function> + 0x150582 (0x5649baffe582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x5649bafe38fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #32: <unknown function> + 0x150582 (0x5649baffe582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x5649bafe38fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #34: <unknown function> + 0x150582 (0x5649baffe582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x5649bafe38fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x5649bafeaf50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #37: _PyObject_Call_Prepend + 0x69 (0x5649baffcc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #38: <unknown function> + 0x211239 (0x5649bb0bf239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #39: _PyObject_MakeTpCall + 0x26b (0x5649bafeba6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x5649bafe73e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #41: _PyFunction_Vectorcall + 0x6c (0x5649baff2a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x5649bafe2c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #43: _PyFunction_Vectorcall + 0x6c (0x5649baff2a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x5649bafe38fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #45: <unknown function> + 0x150582 (0x5649baffe582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #46: PyObject_Call + 0xbc (0x5649baffef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x5649bafe52b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #48: <unknown function> + 0x150582 (0x5649baffe582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #49: PyObject_Call + 0xbc (0x5649baffef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x5649bafe52b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #51: _PyFunction_Vectorcall + 0x6c (0x5649baff2a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x5649bafeb007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #53: _PyObject_Call_Prepend + 0x69 (0x5649baffcc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #54: <unknown function> + 0x211239 (0x5649bb0bf239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #55: PyObject_Call + 0x207 (0x5649bafff067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x5649bafe52b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #57: <unknown function> + 0x150582 (0x5649baffe582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x5649bafe38fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #59: <unknown function> + 0x150582 (0x5649baffe582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #60: PyObject_Call + 0xbc (0x5649baffef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x5649bafe52b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #62: <unknown function> + 0x150582 (0x5649baffe582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #63: PyObject_Call + 0xbc (0x5649baffef1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: . This may indicate a possible application crash on rank 0 or a network set up issue.
W0702 14:14:11.613000 140241450673984 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 108018 closing signal SIGTERM
W0702 14:14:11.618000 140241450673984 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 108019 closing signal SIGTERM
W0702 14:14:11.625000 140241450673984 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 108020 closing signal SIGTERM
W0702 14:14:11.628000 140241450673984 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 108021 closing signal SIGTERM
W0702 14:14:11.645000 140241450673984 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 108022 closing signal SIGTERM
W0702 14:14:11.646000 140241450673984 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 108023 closing signal SIGTERM
W0702 14:14:11.647000 140241450673984 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 108024 closing signal SIGTERM
[default4]:/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/autograd/graph.py:744: UserWarning: c10d::allreduce_: an autograd kernel was not registered to the Autograd key(s) but we are trying to backprop through it. This may lead to silently incorrect behavior. This behavior is deprecated and will be removed in a future version of PyTorch. If your operator is differentiable, please ensure you have registered an autograd kernel to the correct Autograd key (e.g. DispatchKey::Autograd, DispatchKey::CompositeImplicitAutograd). If your operator is not differentiable, or to squash this warning and use the previous behavior, please register torch::CppFunction::makeFallthrough() to DispatchKey::Autograd. (Triggered internally at ../torch/csrc/autograd/autograd_not_implemented_fallback.cpp:63.)
[default4]:  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
E0702 14:14:14.649000 140241450673984 torch/distributed/elastic/multiprocessing/api.py:826] failed (exitcode: 1) local_rank: 0 (pid: 108017) 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      : 2024-07-02_14:14:11
  host      : ip-26-0-161-178.ec2.internal
  rank      : 0 (local_rank: 0)
  exitcode  : 1 (pid: 108017)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
============================================================
srun: error: ip-26-0-161-178: task 0: Exited with exit code 1
[default0]:/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/autograd/graph.py:744: UserWarning: Attempting to run cuBLAS, but there was no current CUDA context! Attempting to set the primary context... (Triggered internally at ../aten/src/ATen/cuda/CublasHandlePool.cpp:135.)
[default0]:  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
[default0]:/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/autograd/graph.py:744: UserWarning: c10d::allreduce_: an autograd kernel was not registered to the Autograd key(s) but we are trying to backprop through it. This may lead to silently incorrect behavior. This behavior is deprecated and will be removed in a future version of PyTorch. If your operator is differentiable, please ensure you have registered an autograd kernel to the correct Autograd key (e.g. DispatchKey::Autograd, DispatchKey::CompositeImplicitAutograd). If your operator is not differentiable, or to squash this warning and use the previous behavior, please register torch::CppFunction::makeFallthrough() to DispatchKey::Autograd. (Triggered internally at ../torch/csrc/autograd/autograd_not_implemented_fallback.cpp:63.)
[default0]:  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
W0702 14:14:15.644000 140459429361408 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1252] The node 'ip-26-0-163-147.ec2.internal_67964_0' has failed to send a keep-alive heartbeat to the rendezvous 'none' due to an error of type RendezvousConnectionError.
W0702 14:14:16.622000 140465096181568 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 68033 closing signal SIGTERM
W0702 14:14:16.622000 140465096181568 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 68037 closing signal SIGTERM
E0702 14:14:17.936000 140465096181568 torch/distributed/elastic/multiprocessing/api.py:826] failed (exitcode: 1) local_rank: 1 (pid: 68034) of binary: /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10
W0702 14:14:17.942000 140465096181568 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1203] The node 'ip-26-0-163-147.ec2.internal_67964_0' has failed to shutdown the rendezvous 'none' due to an error of type RendezvousConnectionError.
W0702 14:14:17.972000 140465096181568 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1203] The node 'ip-26-0-163-147.ec2.internal_67964_0' has failed to shutdown the rendezvous 'none' due to an error of type RendezvousConnectionError.
W0702 14:14:17.994000 140465096181568 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1203] The node 'ip-26-0-163-147.ec2.internal_67964_0' has failed to shutdown the rendezvous 'none' due to an error of type RendezvousConnectionError.
Traceback (most recent call last):
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/torchrun", line 8, in <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:
[1]:
  time      : 2024-07-02_14:14:16
  host      : ip-26-0-163-147.ec2.internal
  rank      : 10 (local_rank: 2)
  exitcode  : 1 (pid: 68035)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
[2]:
  time      : 2024-07-02_14:14:16
  host      : ip-26-0-163-147.ec2.internal
  rank      : 11 (local_rank: 3)
  exitcode  : 1 (pid: 68036)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
[3]:
  time      : 2024-07-02_14:14:16
  host      : ip-26-0-163-147.ec2.internal
  rank      : 13 (local_rank: 5)
  exitcode  : 1 (pid: 68038)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
[4]:
  time      : 2024-07-02_14:14:16
  host      : ip-26-0-163-147.ec2.internal
  rank      : 14 (local_rank: 6)
  exitcode  : 1 (pid: 68039)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
[5]:
  time      : 2024-07-02_14:14:16
  host      : ip-26-0-163-147.ec2.internal
  rank      : 15 (local_rank: 7)
  exitcode  : 1 (pid: 68040)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
------------------------------------------------------------
Root Cause (first observed failure):
[0]:
  time      : 2024-07-02_14:14:16
  host      : ip-26-0-163-147.ec2.internal
  rank      : 9 (local_rank: 1)
  exitcode  : 1 (pid: 68034)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
============================================================
srun: error: ip-26-0-163-147: task 1: Exited with exit code 1
Consider using `hf_transfer` for faster uploads. This solution comes with some limitations. See https://huggingface.co/docs/huggingface_hub/hf_transfer for more details.