llama-1B/64_GPUS/dp-1_tp-4_pp-16_mbz-2/log.out

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START TIME: Sat Jul  6 09:42:30 UTC 2024
python3 version = Python 3.10.14
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M	examples/config_tiny_llama.py
M	examples/config_tiny_llama.yaml
M	examples/train_tiny_llama.sh
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Job status: RUNNING
[2024-07-06 09:42:33,054] torch.distributed.run: [WARNING] 
[2024-07-06 09:42:33,054] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:42:33,054] torch.distributed.run: [WARNING] 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. 
[2024-07-06 09:42:33,054] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:42:33,056] torch.distributed.run: [WARNING] 
[2024-07-06 09:42:33,056] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:42:33,056] torch.distributed.run: [WARNING] 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. 
[2024-07-06 09:42:33,056] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:42:33,062] torch.distributed.run: [WARNING] 
[2024-07-06 09:42:33,062] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:42:33,062] torch.distributed.run: [WARNING] 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. 
[2024-07-06 09:42:33,062] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:42:33,104] torch.distributed.run: [WARNING] 
[2024-07-06 09:42:33,104] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:42:33,104] torch.distributed.run: [WARNING] 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. 
[2024-07-06 09:42:33,104] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:42:33,132] torch.distributed.run: [WARNING] 
[2024-07-06 09:42:33,132] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:42:33,132] torch.distributed.run: [WARNING] 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. 
[2024-07-06 09:42:33,132] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:42:33,181] torch.distributed.run: [WARNING] 
[2024-07-06 09:42:33,181] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:42:33,181] torch.distributed.run: [WARNING] 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. 
[2024-07-06 09:42:33,181] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:42:33,287] torch.distributed.run: [WARNING] 
[2024-07-06 09:42:33,287] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:42:33,287] torch.distributed.run: [WARNING] 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. 
[2024-07-06 09:42:33,287] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:42:33,303] torch.distributed.run: [WARNING] 
[2024-07-06 09:42:33,303] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:42:33,303] torch.distributed.run: [WARNING] 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. 
[2024-07-06 09:42:33,303] torch.distributed.run: [WARNING] *****************************************
[default0]:07/06/2024 09:42:53 [WARNING|DP=0|PP=0|TP=0|ip-26-0-161-138]: [Vocab Size Padding] Padded vocab (size: 50257) with 3 dummy tokens (new size: 50260)
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]: Config:
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]: Config(general=GeneralArgs(project='bench_cluster',
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                            run='%date_%jobid',
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                            seed=42,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                            step=None,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                            consumed_train_samples=None,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                            benchmark_csv_path=None,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                            ignore_sanity_checks=True),
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:        parallelism=ParallelismArgs(dp=1,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                    pp=16,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                    tp=4,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                    pp_engine=<nanotron.parallel.pipeline_parallel.engine.AllForwardAllBackwardPipelineEngine object at 0x7f79399d4700>,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                    tp_mode=<TensorParallelLinearMode.REDUCE_SCATTER: 2>,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                    tp_linear_async_communication=False,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                    expert_parallel_size=1),
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:        model=ModelArgs(model_config=LlamaConfig(bos_token_id=1,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                 eos_token_id=2,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                 hidden_act='silu',
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                 hidden_size=2048,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                 initializer_range=0.02,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                 intermediate_size=4096,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                 is_llama_config=True,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                 max_position_embeddings=4096,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                 num_attention_heads=32,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                 num_hidden_layers=24,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                 num_key_value_heads=32,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                 pad_token_id=None,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                 pretraining_tp=1,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                 rms_norm_eps=1e-05,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                 rope_scaling=None,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                 rope_theta=10000.0,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                 tie_word_embeddings=True,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                 use_cache=True,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                 vocab_size=50260),
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                        init_method=RandomInit(std=0.025),
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                        dtype=torch.bfloat16,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                        make_vocab_size_divisible_by=1,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                        ddp_bucket_cap_mb=25),
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:        tokenizer=TokenizerArgs(tokenizer_name_or_path='openai-community/gpt2',
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                tokenizer_revision=None,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                tokenizer_max_length=None),
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:        checkpoints=CheckpointsArgs(checkpoints_path=PosixPath('/dev/null'),
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                    checkpoint_interval=100000,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                    save_initial_state=False,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                    resume_checkpoint_path=None,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                    checkpoints_path_is_shared_file_system=False),
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:        logging=LoggingArgs(log_level='info',
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                            log_level_replica='info',
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                            iteration_step_info_interval=1),
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:        tokens=TokensArgs(sequence_length=4096,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                          train_steps=20,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                          micro_batch_size=2,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                          batch_accumulation_per_replica=512,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                          val_check_interval=-1,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                          limit_val_batches=0,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                          limit_test_batches=0),
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:        optimizer=OptimizerArgs(optimizer_factory=AdamWOptimizerArgs(adam_eps=1e-08,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                                     adam_beta1=0.9,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                                     adam_beta2=0.95,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                                     torch_adam_is_fused=True,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                                     name='adamW'),
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                zero_stage=1,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                weight_decay=0.01,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                clip_grad=1.0,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                accumulate_grad_in_fp32=True,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                learning_rate_scheduler=LRSchedulerArgs(learning_rate=0.0001,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                                        lr_warmup_steps=1,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                                        lr_warmup_style='linear',
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                                        lr_decay_style='linear',
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                                        lr_decay_steps=19,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                                        lr_decay_starting_step=None,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                                        min_decay_lr=1e-05)),
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:        data_stages=[DatasetStageArgs(name='Training Stage',
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                      start_training_step=1,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                      data=DataArgs(dataset=PretrainDatasetsArgs(hf_dataset_or_datasets='roneneldan/TinyStories',
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                                                 hf_dataset_splits='train',
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                                                 hf_dataset_config_name=None,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                                                 dataset_processing_num_proc_per_process=64,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                                                 dataset_overwrite_cache=False,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                                                 text_column_name='text'),
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                    seed=42,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:                                                    num_loading_workers=0))],
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:        profiler=ProfilerArgs(profiler_export_path=PosixPath('/fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/64_GPUS/dp-1_tp-4_pp-16_mbz-2')),
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:        lighteval=None)
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]: Model Config:
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]: LlamaConfig(bos_token_id=1,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:             eos_token_id=2,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:             hidden_act='silu',
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:             hidden_size=2048,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:             initializer_range=0.02,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:             intermediate_size=4096,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:             is_llama_config=True,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:             max_position_embeddings=4096,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:             num_attention_heads=32,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:             num_hidden_layers=24,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:             num_key_value_heads=32,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:             pad_token_id=None,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:             pretraining_tp=1,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:             rms_norm_eps=1e-05,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:             rope_scaling=None,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:             rope_theta=10000.0,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:             tie_word_embeddings=True,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:             use_cache=True,
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:             vocab_size=50260)
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]: Building model..
[default0]:07/06/2024 09:42:53 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]: Setting PP block ranks...
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=8|TP=2|ip-26-0-165-131]: Local number of parameters: 10.5M (20.01MiB)
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=8|TP=2|ip-26-0-165-131]: [After model building] Memory usage: 21.02MiB. Peak allocated: 23.05MiB Peak reserved: 24.00MiB
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=8|TP=2|ip-26-0-165-131]: No checkpoint path provided.
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=8|TP=1|ip-26-0-165-131]: Local number of parameters: 10.5M (20.01MiB)
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=8|TP=1|ip-26-0-165-131]: [After model building] Memory usage: 21.02MiB. Peak allocated: 23.05MiB Peak reserved: 24.00MiB
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=8|TP=1|ip-26-0-165-131]: No checkpoint path provided.
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=8|TP=3|ip-26-0-165-131]: Local number of parameters: 10.5M (20.01MiB)
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=8|TP=3|ip-26-0-165-131]: [After model building] Memory usage: 21.02MiB. Peak allocated: 23.05MiB Peak reserved: 24.00MiB
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=8|TP=3|ip-26-0-165-131]: No checkpoint path provided.
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=8|TP=0|ip-26-0-165-131]: Local number of parameters: 10.5M (20.01MiB)
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=8|TP=0|ip-26-0-165-131]: [After model building] Memory usage: 21.02MiB. Peak allocated: 23.05MiB Peak reserved: 24.00MiB
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=8|TP=0|ip-26-0-165-131]: No checkpoint path provided.
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=9|TP=3|ip-26-0-165-131]: Local number of parameters: 21M (40.02MiB)
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=9|TP=3|ip-26-0-165-131]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=9|TP=3|ip-26-0-165-131]: No checkpoint path provided.
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=13|TP=3|ip-26-0-173-246]: Local number of parameters: 21M (40.02MiB)
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=13|TP=3|ip-26-0-173-246]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=12|TP=0|ip-26-0-173-246]: Local number of parameters: 21M (40.02MiB)
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=12|TP=0|ip-26-0-173-246]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=13|TP=3|ip-26-0-173-246]: No checkpoint path provided.
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=12|TP=0|ip-26-0-173-246]: No checkpoint path provided.
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=4|TP=0|ip-26-0-163-134]: Local number of parameters: 21M (40.02MiB)
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=4|TP=0|ip-26-0-163-134]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=4|TP=0|ip-26-0-163-134]: No checkpoint path provided.
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=9|TP=0|ip-26-0-165-131]: Local number of parameters: 21M (40.02MiB)
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=9|TP=0|ip-26-0-165-131]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=9|TP=0|ip-26-0-165-131]: No checkpoint path provided.
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=13|TP=1|ip-26-0-173-246]: Local number of parameters: 21M (40.02MiB)
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=10|TP=3|ip-26-0-165-59]: Local number of parameters: 21M (40.02MiB)
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=10|TP=3|ip-26-0-165-59]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=10|TP=3|ip-26-0-165-59]: No checkpoint path provided.
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=5|TP=0|ip-26-0-163-134]: Local number of parameters: 10.5M (20.01MiB)
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=5|TP=0|ip-26-0-163-134]: [After model building] Memory usage: 21.02MiB. Peak allocated: 23.05MiB Peak reserved: 24.00MiB
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=5|TP=0|ip-26-0-163-134]: No checkpoint path provided.
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=13|TP=1|ip-26-0-173-246]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=12|TP=1|ip-26-0-173-246]: Local number of parameters: 21M (40.02MiB)
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=10|TP=1|ip-26-0-165-59]: Local number of parameters: 21M (40.02MiB)
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=10|TP=1|ip-26-0-165-59]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=9|TP=1|ip-26-0-165-131]: Local number of parameters: 21M (40.02MiB)
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=12|TP=1|ip-26-0-173-246]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=10|TP=1|ip-26-0-165-59]: No checkpoint path provided.
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=4|TP=2|ip-26-0-163-134]: Local number of parameters: 21M (40.02MiB)
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=4|TP=2|ip-26-0-163-134]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=9|TP=1|ip-26-0-165-131]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=9|TP=1|ip-26-0-165-131]: No checkpoint path provided.
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=13|TP=1|ip-26-0-173-246]: No checkpoint path provided.
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=10|TP=0|ip-26-0-165-59]: Local number of parameters: 21M (40.02MiB)
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=10|TP=0|ip-26-0-165-59]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=10|TP=0|ip-26-0-165-59]: No checkpoint path provided.
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=5|TP=3|ip-26-0-163-134]: Local number of parameters: 10.5M (20.01MiB)
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=5|TP=3|ip-26-0-163-134]: [After model building] Memory usage: 21.02MiB. Peak allocated: 23.05MiB Peak reserved: 24.00MiB
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=9|TP=2|ip-26-0-165-131]: Local number of parameters: 21M (40.02MiB)
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=9|TP=2|ip-26-0-165-131]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=12|TP=1|ip-26-0-173-246]: No checkpoint path provided.
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=11|TP=1|ip-26-0-165-59]: Local number of parameters: 10.5M (20.01MiB)
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=11|TP=1|ip-26-0-165-59]: [After model building] Memory usage: 21.02MiB. Peak allocated: 23.05MiB Peak reserved: 24.00MiB
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=5|TP=3|ip-26-0-163-134]: No checkpoint path provided.
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=4|TP=1|ip-26-0-163-134]: Local number of parameters: 21M (40.02MiB)
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=9|TP=2|ip-26-0-165-131]: No checkpoint path provided.
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=12|TP=3|ip-26-0-173-246]: Local number of parameters: 21M (40.02MiB)
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=12|TP=3|ip-26-0-173-246]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=6|TP=3|ip-26-0-163-147]: Local number of parameters: 21M (40.02MiB)
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=6|TP=2|ip-26-0-163-147]: Local number of parameters: 21M (40.02MiB)
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=6|TP=2|ip-26-0-163-147]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=6|TP=2|ip-26-0-163-147]: No checkpoint path provided.
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=11|TP=1|ip-26-0-165-59]: No checkpoint path provided.
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=4|TP=1|ip-26-0-163-134]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=4|TP=1|ip-26-0-163-134]: No checkpoint path provided.
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=4|TP=2|ip-26-0-163-134]: No checkpoint path provided.
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=12|TP=3|ip-26-0-173-246]: No checkpoint path provided.
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=14|TP=1|ip-26-0-174-36]: Local number of parameters: 25.7M (49.09MiB)
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=14|TP=1|ip-26-0-174-36]: [After model building] Memory usage: 50.01MiB. Peak allocated: 50.03MiB Peak reserved: 52.00MiB
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=14|TP=1|ip-26-0-174-36]: No checkpoint path provided.
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=6|TP=3|ip-26-0-163-147]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=6|TP=3|ip-26-0-163-147]: No checkpoint path provided.
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=10|TP=2|ip-26-0-165-59]: Local number of parameters: 21M (40.02MiB)
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=10|TP=2|ip-26-0-165-59]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=10|TP=2|ip-26-0-165-59]: No checkpoint path provided.
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=4|TP=3|ip-26-0-163-134]: Local number of parameters: 21M (40.02MiB)
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=13|TP=2|ip-26-0-173-246]: Local number of parameters: 21M (40.02MiB)
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=13|TP=2|ip-26-0-173-246]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=14|TP=0|ip-26-0-174-36]: Local number of parameters: 25.7M (49.09MiB)
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=7|TP=0|ip-26-0-163-147]: Local number of parameters: 21M (40.02MiB)
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=7|TP=0|ip-26-0-163-147]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=11|TP=3|ip-26-0-165-59]: Local number of parameters: 10.5M (20.01MiB)
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=4|TP=3|ip-26-0-163-134]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=4|TP=3|ip-26-0-163-134]: No checkpoint path provided.
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=13|TP=2|ip-26-0-173-246]: No checkpoint path provided.
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=14|TP=0|ip-26-0-174-36]: [After model building] Memory usage: 50.01MiB. Peak allocated: 50.03MiB Peak reserved: 52.00MiB
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=1|TP=2|ip-26-0-161-138]: Local number of parameters: 21M (40.02MiB)
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=1|TP=2|ip-26-0-161-138]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=1|TP=2|ip-26-0-161-138]: No checkpoint path provided.
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=7|TP=0|ip-26-0-163-147]: No checkpoint path provided.
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=11|TP=3|ip-26-0-165-59]: [After model building] Memory usage: 21.02MiB. Peak allocated: 23.05MiB Peak reserved: 24.00MiB
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=11|TP=3|ip-26-0-165-59]: No checkpoint path provided.
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=13|TP=0|ip-26-0-173-246]: Local number of parameters: 21M (40.02MiB)
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=14|TP=0|ip-26-0-174-36]: No checkpoint path provided.
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=1|TP=3|ip-26-0-161-138]: Local number of parameters: 21M (40.02MiB)
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=1|TP=3|ip-26-0-161-138]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=6|TP=0|ip-26-0-163-147]: Local number of parameters: 21M (40.02MiB)
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=11|TP=0|ip-26-0-165-59]: Local number of parameters: 10.5M (20.01MiB)
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=5|TP=1|ip-26-0-163-134]: Local number of parameters: 10.5M (20.01MiB)
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=13|TP=0|ip-26-0-173-246]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=14|TP=2|ip-26-0-174-36]: Local number of parameters: 25.7M (49.09MiB)
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=14|TP=2|ip-26-0-174-36]: [After model building] Memory usage: 50.01MiB. Peak allocated: 50.03MiB Peak reserved: 52.00MiB
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=1|TP=3|ip-26-0-161-138]: No checkpoint path provided.
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]: Total number of parameters: 1.21G (2313.42MiB)
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=6|TP=0|ip-26-0-163-147]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=6|TP=0|ip-26-0-163-147]: No checkpoint path provided.
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=11|TP=0|ip-26-0-165-59]: [After model building] Memory usage: 21.02MiB. Peak allocated: 23.05MiB Peak reserved: 24.00MiB
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=11|TP=0|ip-26-0-165-59]: No checkpoint path provided.
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=5|TP=2|ip-26-0-163-134]: Local number of parameters: 10.5M (20.01MiB)
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=5|TP=1|ip-26-0-163-134]: [After model building] Memory usage: 21.02MiB. Peak allocated: 23.05MiB Peak reserved: 24.00MiB
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=13|TP=0|ip-26-0-173-246]: No checkpoint path provided.
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=14|TP=2|ip-26-0-174-36]: No checkpoint path provided.
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]: Local number of parameters: 46.7M (89.10MiB)
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=6|TP=1|ip-26-0-163-147]: Local number of parameters: 21M (40.02MiB)
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=11|TP=2|ip-26-0-165-59]: Local number of parameters: 10.5M (20.01MiB)
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=11|TP=2|ip-26-0-165-59]: [After model building] Memory usage: 21.02MiB. Peak allocated: 23.05MiB Peak reserved: 24.00MiB
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=5|TP=1|ip-26-0-163-134]: No checkpoint path provided.
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=5|TP=2|ip-26-0-163-134]: [After model building] Memory usage: 21.02MiB. Peak allocated: 23.05MiB Peak reserved: 24.00MiB
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=5|TP=2|ip-26-0-163-134]: No checkpoint path provided.
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=12|TP=2|ip-26-0-173-246]: Local number of parameters: 21M (40.02MiB)
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=12|TP=2|ip-26-0-173-246]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=12|TP=2|ip-26-0-173-246]: No checkpoint path provided.
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=15|TP=0|ip-26-0-174-36]: Local number of parameters: 0 (0.00MiB)
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=15|TP=0|ip-26-0-174-36]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=15|TP=0|ip-26-0-174-36]: No checkpoint path provided.
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]: [After model building] Memory usage: 92.03MiB. Peak allocated: 94.06MiB Peak reserved: 96.00MiB
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=1|TP=0|ip-26-0-161-138]: Local number of parameters: 21M (40.02MiB)
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=6|TP=1|ip-26-0-163-147]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=6|TP=1|ip-26-0-163-147]: No checkpoint path provided.
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=11|TP=2|ip-26-0-165-59]: No checkpoint path provided.
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=14|TP=3|ip-26-0-174-36]: Local number of parameters: 25.7M (49.09MiB)
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=14|TP=3|ip-26-0-174-36]: [After model building] Memory usage: 50.01MiB. Peak allocated: 50.03MiB Peak reserved: 52.00MiB
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=14|TP=3|ip-26-0-174-36]: No checkpoint path provided.
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=1|TP=0|ip-26-0-161-138]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]: No checkpoint path provided.
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=1|TP=1|ip-26-0-161-138]: Local number of parameters: 21M (40.02MiB)
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]: Parametrizing model parameters using StandardParametrizator
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=7|TP=2|ip-26-0-163-147]: Local number of parameters: 21M (40.02MiB)
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=15|TP=2|ip-26-0-174-36]: Local number of parameters: 0 (0.00MiB)
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=0|TP=1|ip-26-0-161-138]: Local number of parameters: 46.7M (89.10MiB)
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=0|TP=3|ip-26-0-161-138]: Local number of parameters: 46.7M (89.10MiB)
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=7|TP=1|ip-26-0-163-147]: Local number of parameters: 21M (40.02MiB)
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=7|TP=1|ip-26-0-163-147]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=7|TP=1|ip-26-0-163-147]: No checkpoint path provided.
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=15|TP=3|ip-26-0-174-36]: Local number of parameters: 0 (0.00MiB)
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=0|TP=3|ip-26-0-161-138]: [After model building] Memory usage: 92.03MiB. Peak allocated: 94.06MiB Peak reserved: 96.00MiB
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=7|TP=2|ip-26-0-163-147]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=7|TP=2|ip-26-0-163-147]: No checkpoint path provided.
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=15|TP=3|ip-26-0-174-36]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=15|TP=2|ip-26-0-174-36]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=15|TP=2|ip-26-0-174-36]: No checkpoint path provided.
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=0|TP=3|ip-26-0-161-138]: No checkpoint path provided.
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=7|TP=3|ip-26-0-163-147]: Local number of parameters: 21M (40.02MiB)
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=7|TP=3|ip-26-0-163-147]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=7|TP=3|ip-26-0-163-147]: No checkpoint path provided.
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=15|TP=1|ip-26-0-174-36]: Local number of parameters: 0 (0.00MiB)
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=1|TP=0|ip-26-0-161-138]: No checkpoint path provided.
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=0|TP=2|ip-26-0-161-138]: Local number of parameters: 46.7M (89.10MiB)
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=15|TP=1|ip-26-0-174-36]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=0|TP=2|ip-26-0-161-138]: [After model building] Memory usage: 92.03MiB. Peak allocated: 94.06MiB Peak reserved: 96.00MiB
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=2|TP=2|ip-26-0-161-142]: Local number of parameters: 10.5M (20.01MiB)
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=2|TP=2|ip-26-0-161-142]: [After model building] Memory usage: 21.02MiB. Peak allocated: 23.05MiB Peak reserved: 24.00MiB
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=2|TP=2|ip-26-0-161-142]: No checkpoint path provided.
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=15|TP=3|ip-26-0-174-36]: No checkpoint path provided.
[default2]:07/06/2024 09:43:09 [INFO|DP=0|PP=0|TP=2|ip-26-0-161-138]: No checkpoint path provided.
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=0|TP=1|ip-26-0-161-138]: [After model building] Memory usage: 92.03MiB. Peak allocated: 94.06MiB Peak reserved: 96.00MiB
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=1|TP=1|ip-26-0-161-138]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=1|TP=1|ip-26-0-161-138]: No checkpoint path provided.
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=15|TP=1|ip-26-0-174-36]: No checkpoint path provided.
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=0|TP=1|ip-26-0-161-138]: No checkpoint path provided.
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=2|TP=1|ip-26-0-161-142]: Local number of parameters: 10.5M (20.01MiB)
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=2|TP=1|ip-26-0-161-142]: [After model building] Memory usage: 21.02MiB. Peak allocated: 23.05MiB Peak reserved: 24.00MiB
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=3|TP=3|ip-26-0-161-142]: Local number of parameters: 21M (40.02MiB)
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=3|TP=3|ip-26-0-161-142]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default7]:07/06/2024 09:43:09 [INFO|DP=0|PP=3|TP=3|ip-26-0-161-142]: No checkpoint path provided.
[default1]:07/06/2024 09:43:09 [INFO|DP=0|PP=2|TP=1|ip-26-0-161-142]: No checkpoint path provided.
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=2|TP=0|ip-26-0-161-142]: Local number of parameters: 10.5M (20.01MiB)
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=3|TP=1|ip-26-0-161-142]: Local number of parameters: 21M (40.02MiB)
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=3|TP=1|ip-26-0-161-142]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=3|TP=0|ip-26-0-161-142]: Local number of parameters: 21M (40.02MiB)
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=3|TP=0|ip-26-0-161-142]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default5]:07/06/2024 09:43:09 [INFO|DP=0|PP=3|TP=1|ip-26-0-161-142]: No checkpoint path provided.
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=2|TP=0|ip-26-0-161-142]: [After model building] Memory usage: 21.02MiB. Peak allocated: 23.05MiB Peak reserved: 24.00MiB
[default0]:07/06/2024 09:43:09 [INFO|DP=0|PP=2|TP=0|ip-26-0-161-142]: No checkpoint path provided.
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=2|TP=3|ip-26-0-161-142]: Local number of parameters: 10.5M (20.01MiB)
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=3|TP=2|ip-26-0-161-142]: Local number of parameters: 21M (40.02MiB)
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=2|TP=3|ip-26-0-161-142]: [After model building] Memory usage: 21.02MiB. Peak allocated: 23.05MiB Peak reserved: 24.00MiB
[default3]:07/06/2024 09:43:09 [INFO|DP=0|PP=2|TP=3|ip-26-0-161-142]: No checkpoint path provided.
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=3|TP=2|ip-26-0-161-142]: [After model building] Memory usage: 42.03MiB. Peak allocated: 44.06MiB Peak reserved: 46.00MiB
[default6]:07/06/2024 09:43:09 [INFO|DP=0|PP=3|TP=2|ip-26-0-161-142]: No checkpoint path provided.
[default4]:07/06/2024 09:43:09 [INFO|DP=0|PP=3|TP=0|ip-26-0-161-142]: No checkpoint path provided.
[default0]:07/06/2024 09:43:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]: [Optimizer Building] Using LearningRateForSP as learning rate
[default0]:07/06/2024 09:43:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]: [ZeRO sharding] Size of optimizer params per rank:
[default0]:07/06/2024 09:43:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]: [ZeRO sharding] DP Rank 0 has 46.7M out of 46.7M (100.00%) params' optimizer states
[default0]:07/06/2024 09:43:11 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]: [Training Plan] Stage Training Stage has 19 remaining training steps and has consumed 0 samples
[default0]:07/06/2024 09:43:11 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]: Using `datasets` library
[default0]:07/06/2024 09:43:11 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]: Loading tokenizer from openai-community/gpt2 and transformers/hf_hub versions ('4.41.2', '0.23.4')
[default0]:Repo card metadata block was not found. Setting CardData to empty.
[default0]:07/06/2024 09:43:11 [WARNING|DP=0|PP=0|TP=0|ip-26-0-161-138]: Repo card metadata block was not found. Setting CardData to empty.
[default0]:07/06/2024 09:43:12 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]: [Training Plan] There are 1 training stages 
[default0]:07/06/2024 09:43:12 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]: [Stage Training Stage] start from step 1 
[default0]:07/06/2024 09:43:12 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]: 
[default0]:07/06/2024 09:43:12 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]: [Start training] datetime: 2024-07-06 09:43:12.261479 | mbs: 2 | grad_accum: 512 | global_batch_size: 1024 | sequence_length: 4096 | train_steps: 20 | start_iteration_step: 0 | consumed_train_samples: 0
[default2]:07/06/2024 09:43:12 [WARNING|DP=0|PP=8|TP=2|ip-26-0-165-131]: Repo card metadata block was not found. Setting CardData to empty.
[default1]:07/06/2024 09:43:12 [WARNING|DP=0|PP=8|TP=1|ip-26-0-165-131]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:07/06/2024 09:43:12 [WARNING|DP=0|PP=8|TP=3|ip-26-0-165-131]: Repo card metadata block was not found. Setting CardData to empty.
[default0]:07/06/2024 09:43:12 [WARNING|DP=0|PP=8|TP=0|ip-26-0-165-131]: Repo card metadata block was not found. Setting CardData to empty.
[default7]:07/06/2024 09:43:12 [WARNING|DP=0|PP=9|TP=3|ip-26-0-165-131]: 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.
[default0]:07/06/2024 09:43:12 [WARNING|DP=0|PP=12|TP=0|ip-26-0-173-246]: Repo card metadata block was not found. Setting CardData to empty.
[default4]:Repo card metadata block was not found. Setting CardData to empty.
[default4]:07/06/2024 09:43:12 [WARNING|DP=0|PP=9|TP=0|ip-26-0-165-131]: Repo card metadata block was not found. Setting CardData to empty.
[default4]:Repo card metadata block was not found. Setting CardData to empty.
[default0]:07/06/2024 09:43:12 [WARNING|DP=0|PP=4|TP=0|ip-26-0-163-134]: Repo card metadata block was not found. Setting CardData to empty.
[default5]:Repo card metadata block was not found. Setting CardData to empty.
[default5]:07/06/2024 09:43:12 [WARNING|DP=0|PP=13|TP=1|ip-26-0-173-246]: Repo card metadata block was not found. Setting CardData to empty.
[default0]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:07/06/2024 09:43:12 [WARNING|DP=0|PP=12|TP=1|ip-26-0-173-246]: Repo card metadata block was not found. Setting CardData to empty.
[default0]:Repo card metadata block was not found. Setting CardData to empty.
[default3]:07/06/2024 09:43:12 [WARNING|DP=0|PP=10|TP=3|ip-26-0-165-59]: Repo card metadata block was not found. Setting CardData to empty.
[default7]:Repo card metadata block was not found. Setting CardData to empty.
[default4]:07/06/2024 09:43:12 [WARNING|DP=0|PP=5|TP=0|ip-26-0-163-134]: Repo card metadata block was not found. Setting CardData to empty.
[default1]:Repo card metadata block was not found. Setting CardData to empty.
[default5]:07/06/2024 09:43:12 [WARNING|DP=0|PP=9|TP=1|ip-26-0-165-131]: Repo card metadata block was not found. Setting CardData to empty.
[default4]:Repo card metadata block was not found. Setting CardData to empty.
[default3]:07/06/2024 09:43:12 [WARNING|DP=0|PP=12|TP=3|ip-26-0-173-246]: Repo card metadata block was not found. Setting CardData to empty.
[default0]:Repo card metadata block was not found. Setting CardData to empty.
[default2]:07/06/2024 09:43:12 [WARNING|DP=0|PP=4|TP=2|ip-26-0-163-134]: Repo card metadata block was not found. Setting CardData to empty.
[default6]:Repo card metadata block was not found. Setting CardData to empty.
[default6]:07/06/2024 09:43:12 [WARNING|DP=0|PP=13|TP=2|ip-26-0-173-246]: Repo card metadata block was not found. Setting CardData to empty.
[default6]:Repo card metadata block was not found. Setting CardData to empty.
[default7]:07/06/2024 09:43:12 [WARNING|DP=0|PP=5|TP=3|ip-26-0-163-134]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:07/06/2024 09:43:12 [WARNING|DP=0|PP=10|TP=1|ip-26-0-165-59]: Repo card metadata block was not found. Setting CardData to empty.
[default5]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:07/06/2024 09:43:12 [WARNING|DP=0|PP=4|TP=1|ip-26-0-163-134]: Repo card metadata block was not found. Setting CardData to empty.
[default0]:Repo card metadata block was not found. Setting CardData to empty.
[default4]:07/06/2024 09:43:12 [WARNING|DP=0|PP=13|TP=0|ip-26-0-173-246]: Repo card metadata block was not found. Setting CardData to empty.
[default0]:Repo card metadata block was not found. Setting CardData to empty.
[default0]:07/06/2024 09:43:12 [WARNING|DP=0|PP=10|TP=0|ip-26-0-165-59]: Repo card metadata block was not found. Setting CardData to empty.
[default5]:Repo card metadata block was not found. Setting CardData to empty.
[default3]:07/06/2024 09:43:12 [WARNING|DP=0|PP=4|TP=3|ip-26-0-163-134]: Repo card metadata block was not found. Setting CardData to empty.
[default2]:Repo card metadata block was not found. Setting CardData to empty.
[default6]:07/06/2024 09:43:12 [WARNING|DP=0|PP=9|TP=2|ip-26-0-165-131]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:Repo card metadata block was not found. Setting CardData to empty.
[default3]:07/06/2024 09:43:12 [WARNING|DP=0|PP=6|TP=3|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty.
[default2]:07/06/2024 09:43:12 [WARNING|DP=0|PP=6|TP=2|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty.
[default0]:Repo card metadata block was not found. Setting CardData to empty.
[default5]:07/06/2024 09:43:12 [WARNING|DP=0|PP=11|TP=1|ip-26-0-165-59]: Repo card metadata block was not found. Setting CardData to empty.
[default1]:Repo card metadata block was not found. Setting CardData to empty.
[default2]:07/06/2024 09:43:12 [WARNING|DP=0|PP=12|TP=2|ip-26-0-173-246]: Repo card metadata block was not found. Setting CardData to empty.
[default4]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:07/06/2024 09:43:12 [WARNING|DP=0|PP=14|TP=1|ip-26-0-174-36]: Repo card metadata block was not found. Setting CardData to empty.
[default6]:Repo card metadata block was not found. Setting CardData to empty.
[default4]:07/06/2024 09:43:12 [WARNING|DP=0|PP=7|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.
[default6]:07/06/2024 09:43:12 [WARNING|DP=0|PP=11|TP=2|ip-26-0-165-59]: Repo card metadata block was not found. Setting CardData to empty.
[default2]:Repo card metadata block was not found. Setting CardData to empty.
[default2]:07/06/2024 09:43:12 [WARNING|DP=0|PP=14|TP=2|ip-26-0-174-36]: Repo card metadata block was not found. Setting CardData to empty.
[default6]:Repo card metadata block was not found. Setting CardData to empty.
[default2]:07/06/2024 09:43:12 [WARNING|DP=0|PP=10|TP=2|ip-26-0-165-59]: Repo card metadata block was not found. Setting CardData to empty.
[default2]:Repo card metadata block was not found. Setting CardData to empty.
[default6]:07/06/2024 09:43:12 [WARNING|DP=0|PP=5|TP=2|ip-26-0-163-134]: 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.
[default4]:07/06/2024 09:43:12 [WARNING|DP=0|PP=15|TP=0|ip-26-0-174-36]: Repo card metadata block was not found. Setting CardData to empty.
[default1]:Repo card metadata block was not found. Setting CardData to empty.
[default0]:07/06/2024 09:43:12 [WARNING|DP=0|PP=6|TP=0|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:Repo card metadata block was not found. Setting CardData to empty.
[default6]:07/06/2024 09:43:12 [WARNING|DP=0|PP=1|TP=2|ip-26-0-161-138]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:Repo card metadata block was not found. Setting CardData to empty.
[default4]:07/06/2024 09:43:12 [WARNING|DP=0|PP=11|TP=0|ip-26-0-165-59]: Repo card metadata block was not found. Setting CardData to empty.
[default2]:Repo card metadata block was not found. Setting CardData to empty.
[default5]:07/06/2024 09:43:12 [WARNING|DP=0|PP=5|TP=1|ip-26-0-163-134]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:Repo card metadata block was not found. Setting CardData to empty.
[default0]:07/06/2024 09:43:12 [WARNING|DP=0|PP=14|TP=0|ip-26-0-174-36]: Repo card metadata block was not found. Setting CardData to empty.
[default7]:Repo card metadata block was not found. Setting CardData to empty.
[default7]:07/06/2024 09:43:12 [WARNING|DP=0|PP=1|TP=3|ip-26-0-161-138]: Repo card metadata block was not found. Setting CardData to empty.
[default7]:Repo card metadata block was not found. Setting CardData to empty.
[default7]:07/06/2024 09:43:12 [WARNING|DP=0|PP=11|TP=3|ip-26-0-165-59]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:Repo card metadata block was not found. Setting CardData to empty.
[default5]:07/06/2024 09:43:12 [WARNING|DP=0|PP=1|TP=1|ip-26-0-161-138]: Repo card metadata block was not found. Setting CardData to empty.
[default5]:Repo card metadata block was not found. Setting CardData to empty.
[default6]:07/06/2024 09:43:12 [WARNING|DP=0|PP=7|TP=2|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.
[default3]:07/06/2024 09:43:12 [WARNING|DP=0|PP=14|TP=3|ip-26-0-174-36]: 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.
[default3]:07/06/2024 09:43:12 [WARNING|DP=0|PP=0|TP=3|ip-26-0-161-138]: Repo card metadata block was not found. Setting CardData to empty.
[default4]:Repo card metadata block was not found. Setting CardData to empty.
[default5]:07/06/2024 09:43:12 [WARNING|DP=0|PP=7|TP=1|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.
[default4]:07/06/2024 09:43:12 [WARNING|DP=0|PP=1|TP=0|ip-26-0-161-138]: Repo card metadata block was not found. Setting CardData to empty.
[default6]:Repo card metadata block was not found. Setting CardData to empty.
[default7]:07/06/2024 09:43:12 [WARNING|DP=0|PP=7|TP=3|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:Repo card metadata block was not found. Setting CardData to empty.
[default5]:07/06/2024 09:43:12 [WARNING|DP=0|PP=15|TP=1|ip-26-0-174-36]: Repo card metadata block was not found. Setting CardData to empty.
[default4]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:07/06/2024 09:43:12 [WARNING|DP=0|PP=0|TP=1|ip-26-0-161-138]: Repo card metadata block was not found. Setting CardData to empty.
[default2]:Repo card metadata block was not found. Setting CardData to empty.
[default7]:07/06/2024 09:43:12 [WARNING|DP=0|PP=15|TP=3|ip-26-0-174-36]: Repo card metadata block was not found. Setting CardData to empty.
[default5]:Repo card metadata block was not found. Setting CardData to empty.
[default2]:07/06/2024 09:43:12 [WARNING|DP=0|PP=0|TP=2|ip-26-0-161-138]: Repo card metadata block was not found. Setting CardData to empty.
[default7]:Repo card metadata block was not found. Setting CardData to empty.
[default2]:07/06/2024 09:43:12 [WARNING|DP=0|PP=2|TP=2|ip-26-0-161-142]: Repo card metadata block was not found. Setting CardData to empty.
[default4]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:07/06/2024 09:43:12 [WARNING|DP=0|PP=2|TP=1|ip-26-0-161-142]: Repo card metadata block was not found. Setting CardData to empty.
[default5]:Repo card metadata block was not found. Setting CardData to empty.
[default5]:07/06/2024 09:43:12 [WARNING|DP=0|PP=3|TP=1|ip-26-0-161-142]: Repo card metadata block was not found. Setting CardData to empty.
[default1]:Repo card metadata block was not found. Setting CardData to empty.
[default0]:07/06/2024 09:43:12 [WARNING|DP=0|PP=2|TP=0|ip-26-0-161-142]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:Repo card metadata block was not found. Setting CardData to empty.
[default3]:07/06/2024 09:43:12 [WARNING|DP=0|PP=2|TP=3|ip-26-0-161-142]: Repo card metadata block was not found. Setting CardData to empty.
[default5]: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.
[default7]:07/06/2024 09:43:12 [WARNING|DP=0|PP=13|TP=3|ip-26-0-173-246]: Repo card metadata block was not found. Setting CardData to empty.
[default7]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:07/06/2024 09:43:12 [WARNING|DP=0|PP=6|TP=1|ip-26-0-163-147]: Repo card metadata block was not found. Setting CardData to empty.
[default6]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:Repo card metadata block was not found. Setting CardData to empty.
[default6]:07/06/2024 09:43:12 [WARNING|DP=0|PP=15|TP=2|ip-26-0-174-36]: Repo card metadata block was not found. Setting CardData to empty.
[default6]:Repo card metadata block was not found. Setting CardData to empty.
[default4]:Repo card metadata block was not found. Setting CardData to empty.
[default7]:07/06/2024 09:43:12 [WARNING|DP=0|PP=3|TP=3|ip-26-0-161-142]: Repo card metadata block was not found. Setting CardData to empty.
[default4]:07/06/2024 09:43:12 [WARNING|DP=0|PP=3|TP=0|ip-26-0-161-142]: Repo card metadata block was not found. Setting CardData to empty.
[default6]:07/06/2024 09:43:12 [WARNING|DP=0|PP=3|TP=2|ip-26-0-161-142]: Repo card metadata block was not found. Setting CardData to empty.
[default7]:Repo card metadata block was not found. Setting CardData to empty.
[default0]:07/06/2024 09:43:18 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]: Resuming training from stage Training Stage, it has trained for 0 samples and has 19 remaining train steps
[default0]:07/06/2024 09:43:18 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-138]:  Memory usage: 448.42MiB. Peak allocated 448.42MiB. Peak reserved: 456.00MiB
[default5]:Traceback (most recent call last):
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default5]:    trainer.train(dataloader)
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 430, in train
[default5]:    outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 459, in training_step
[default5]:    outputs = self.pipeline_engine.train_batch_iter(
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 187, in train_batch_iter
[default5]:    output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default5]:    output = model(**micro_batch)
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default5]:    return self._call_impl(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default5]:    return forward_call(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 894, in forward
[default5]:    loss = self.loss(
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default5]:    return self._call_impl(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default5]:    return forward_call(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 151, in forward
[default5]:    output = self.pp_block(**new_kwargs)
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default5]:    return self._call_impl(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default5]:    return forward_call(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 848, in forward
[default5]:    loss = sharded_cross_entropy(
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/tensor_parallel/functional.py", line 116, in sharded_cross_entropy
[default5]:    return _ShardedCrossEntropy.apply(sharded_logits, target, group)
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/autograd/function.py", line 553, in apply
[default5]:    return super().apply(*args, **kwargs)  # type: ignore[misc]
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/tensor_parallel/functional.py", line 44, in forward
[default5]:    sharded_logits = sharded_logits - logits_max.unsqueeze(dim=-1)
[default5]:torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 394.00 MiB. GPU 5 has a total capacity of 79.33 GiB of which 381.94 MiB is free. Including non-PyTorch memory, this process has 78.95 GiB memory in use. Of the allocated memory 69.03 GiB is allocated by PyTorch, and 440.29 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
[default2]:Traceback (most recent call last):
[default2]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default2]:    trainer.train(dataloader)
[default2]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 430, in train
[default2]:    outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default2]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 459, in training_step
[default2]:    outputs = self.pipeline_engine.train_batch_iter(
[default2]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 187, in train_batch_iter
[default2]:    output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default2]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default2]:    output = model(**micro_batch)
[default2]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default2]:    return self._call_impl(*args, **kwargs)
[default2]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default2]:    return forward_call(*args, **kwargs)
[default2]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 890, in forward
[default2]:    sharded_logits = self.model(
[default2]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default2]:    return self._call_impl(*args, **kwargs)
[default2]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default2]:    return forward_call(*args, **kwargs)
[default2]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default2]:    return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default2]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default2]:    hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default2]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default2]:    return self._call_impl(*args, **kwargs)
[default2]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default2]:    return forward_call(*args, **kwargs)
[default2]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 151, in forward
[default2]:    output = self.pp_block(**new_kwargs)
[default2]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default2]:    return self._call_impl(*args, **kwargs)
[default2]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default2]:    return forward_call(*args, **kwargs)
[default2]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 630, in forward
[default2]:    output = self.attn(hidden_states=hidden_states, sequence_mask=sequence_mask)
[default2]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default2]:    return self._call_impl(*args, **kwargs)
[default2]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default2]:    return forward_call(*args, **kwargs)
[default2]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 597, in forward
[default6]:Traceback (most recent call last):
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default6]:    trainer.train(dataloader)
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 430, in train
[default6]:    outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 459, in training_step
[default6]:    outputs = self.pipeline_engine.train_batch_iter(
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 187, in train_batch_iter
[default6]:    output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default6]:    output = model(**micro_batch)
[default6]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default6]:    return self._call_impl(*args, **kwargs)
[default6]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default6]:    return forward_call(*args, **kwargs)
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 890, in forward
[default6]:    sharded_logits = self.model(
[default6]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default6]:    return self._call_impl(*args, **kwargs)
[default6]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default6]:    return forward_call(*args, **kwargs)
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default6]:    return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default6]:    hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default6]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default6]:    return self._call_impl(*args, **kwargs)
[default6]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default6]:    return forward_call(*args, **kwargs)
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 151, in forward
[default6]:    output = self.pp_block(**new_kwargs)
[default6]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default6]:    return self._call_impl(*args, **kwargs)
[default6]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default6]:    return forward_call(*args, **kwargs)
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 636, in forward
[default6]:    hidden_states = self.mlp(hidden_states=hidden_states)["hidden_states"]
[default6]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default6]:    return self._call_impl(*args, **kwargs)
[default6]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default6]:    return forward_call(*args, **kwargs)
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 171, in forward
[default6]:    hidden_states = self.down_proj(self.split_silu_mul(merged_states))
[default6]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default6]:    return self._call_impl(*args, **kwargs)
[default6]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default6]:    return forward_call(*args, **kwargs)
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/tensor_parallel/nn.py", line 159, in forward
[default6]:    return row_linear(
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/tensor_parallel/functional.py", line 479, in row_linear
[default6]:    out = differentiable_reduce_scatter_sum(out, group=group)
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/tensor_parallel/distributed_differentiable_primitives.py", line 145, in differentiable_reduce_scatter_sum
[default6]:    return DifferentiableReduceScatterSum.apply(tensor, group)
[default6]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/autograd/function.py", line 553, in apply
[default6]:    return super().apply(*args, **kwargs)  # type: ignore[misc]
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/tensor_parallel/distributed_differentiable_primitives.py", line 111, in forward
[default6]:    sharded_tensor = torch.empty(
[default6]:torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 20.00 MiB. GPU 6 has a total capacity of 79.33 GiB of which 13.94 MiB is free. Including non-PyTorch memory, this process has 79.30 GiB memory in use. Of the allocated memory 67.94 GiB is allocated by PyTorch, and 1.36 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
[default2]:    output = self.o_proj(attention_output)
[default2]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default2]:    return self._call_impl(*args, **kwargs)
[default2]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default2]:    return forward_call(*args, **kwargs)
[default2]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/tensor_parallel/nn.py", line 159, in forward
[default2]:    return row_linear(
[default2]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/tensor_parallel/functional.py", line 474, in row_linear
[default2]:    out = F.linear(input, weight, bias)
[default2]:torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 2 has a total capacity of 79.33 GiB of which 19.94 MiB is free. Including non-PyTorch memory, this process has 79.29 GiB memory in use. Of the allocated memory 68.67 GiB is allocated by PyTorch, and 1.03 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
[default5]:Traceback (most recent call last):
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default5]:    trainer.train(dataloader)
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 430, in train
[default5]:    outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 459, in training_step
[default5]:    outputs = self.pipeline_engine.train_batch_iter(
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 187, in train_batch_iter
[default5]:    output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default5]:    output = model(**micro_batch)
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default5]:    return self._call_impl(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default5]:    return forward_call(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 890, in forward
[default5]:    sharded_logits = self.model(
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default5]:    return self._call_impl(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default5]:    return forward_call(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default5]:    return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default5]:    hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default5]:    return self._call_impl(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default5]:    return forward_call(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 151, in forward
[default5]:    output = self.pp_block(**new_kwargs)
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default5]:    return self._call_impl(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default5]:    return forward_call(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 636, in forward
[default5]:    hidden_states = self.mlp(hidden_states=hidden_states)["hidden_states"]
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default5]:    return self._call_impl(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default5]:    return forward_call(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 171, in forward
[default5]:    hidden_states = self.down_proj(self.split_silu_mul(merged_states))
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default5]:    return self._call_impl(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default5]:    return forward_call(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/tensor_parallel/nn.py", line 159, in forward
[default5]:    return row_linear(
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/tensor_parallel/functional.py", line 474, in row_linear
[default5]:    out = F.linear(input, weight, bias)
[default5]:torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 5 has a total capacity of 79.33 GiB of which 21.94 MiB is free. Including non-PyTorch memory, this process has 79.29 GiB memory in use. Of the allocated memory 67.91 GiB is allocated by PyTorch, and 1.36 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
[default1]:Traceback (most recent call last):
[default1]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default1]:    trainer.train(dataloader)
[default1]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 430, in train
[default1]:    outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default1]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 459, in training_step
[default1]:    outputs = self.pipeline_engine.train_batch_iter(
[default1]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 187, in train_batch_iter
[default1]:    output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default1]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default1]:    output = model(**micro_batch)
[default1]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default1]:    return self._call_impl(*args, **kwargs)
[default1]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default1]:    return forward_call(*args, **kwargs)
[default1]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 890, in forward
[default1]:    sharded_logits = self.model(
[default1]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default1]:    return self._call_impl(*args, **kwargs)
[default1]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default1]:    return forward_call(*args, **kwargs)
[default1]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default1]:    return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default1]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default1]:    hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default1]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default1]:    return self._call_impl(*args, **kwargs)
[default1]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default1]:    return forward_call(*args, **kwargs)
[default1]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 151, in forward
[default1]:    output = self.pp_block(**new_kwargs)
[default1]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default1]:    return self._call_impl(*args, **kwargs)
[default1]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default1]:    return forward_call(*args, **kwargs)
[default1]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 636, in forward
[default1]:    hidden_states = self.mlp(hidden_states=hidden_states)["hidden_states"]
[default1]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default1]:    return self._call_impl(*args, **kwargs)
[default1]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default1]:    return forward_call(*args, **kwargs)
[default1]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 171, in forward
[default1]:    hidden_states = self.down_proj(self.split_silu_mul(merged_states))
[default1]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default1]:    return self._call_impl(*args, **kwargs)
[default1]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default1]:    return forward_call(*args, **kwargs)
[default1]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/tensor_parallel/nn.py", line 159, in forward
[default1]:    return row_linear(
[default1]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/tensor_parallel/functional.py", line 474, in row_linear
[default1]:    out = F.linear(input, weight, bias)
[default1]:torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 32.00 MiB. GPU 1 has a total capacity of 79.33 GiB of which 25.94 MiB is free. Including non-PyTorch memory, this process has 79.29 GiB memory in use. Of the allocated memory 68.75 GiB is allocated by PyTorch, and 1.03 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
[2024-07-06 09:44:10,513] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1714872 closing signal SIGTERM
[2024-07-06 09:44:10,513] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1714873 closing signal SIGTERM
[2024-07-06 09:44:10,516] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1714874 closing signal SIGTERM
[2024-07-06 09:44:10,517] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1714875 closing signal SIGTERM
[2024-07-06 09:44:10,518] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1714876 closing signal SIGTERM
[2024-07-06 09:44:10,519] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1714878 closing signal SIGTERM
[2024-07-06 09:44:10,521] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1714879 closing signal SIGTERM
[2024-07-06 09:44:13,257] torch.distributed.elastic.multiprocessing.api: [ERROR] failed (exitcode: 1) local_rank: 5 (pid: 1714877) 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 812, in main
    run(args)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 803, in run
    elastic_launch(
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 135, 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 268, 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      : 2024-07-06_09:44:10
  host      : ip-26-0-174-36.ec2.internal
  rank      : 61 (local_rank: 5)
  exitcode  : 1 (pid: 1714877)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
============================================================
srun: error: ip-26-0-174-36: task 7: Exited with exit code 1
[2024-07-06 09:44:15,518] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1428012 closing signal SIGTERM
[2024-07-06 09:44:15,519] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1428015 closing signal SIGTERM
[2024-07-06 09:44:15,520] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1428016 closing signal SIGTERM
[2024-07-06 09:44:15,521] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1428019 closing signal SIGTERM
[2024-07-06 09:44:18,461] torch.distributed.elastic.multiprocessing.api: [ERROR] failed (exitcode: 1) local_rank: 1 (pid: 1428013) 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 812, in main
    run(args)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 803, in run
    elastic_launch(
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 135, 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 268, 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      : 2024-07-06_09:44:15
  host      : ip-26-0-161-138.ec2.internal
  rank      : 2 (local_rank: 2)
  exitcode  : 1 (pid: 1428014)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
[2]:
  time      : 2024-07-06_09:44:15
  host      : ip-26-0-161-138.ec2.internal
  rank      : 5 (local_rank: 5)
  exitcode  : 1 (pid: 1428017)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
[3]:
  time      : 2024-07-06_09:44:15
  host      : ip-26-0-161-138.ec2.internal
  rank      : 6 (local_rank: 6)
  exitcode  : 1 (pid: 1428018)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
------------------------------------------------------------
Root Cause (first observed failure):
[0]:
  time      : 2024-07-06_09:44:15
  host      : ip-26-0-161-138.ec2.internal
  rank      : 1 (local_rank: 1)
  exitcode  : 1 (pid: 1428013)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
============================================================
srun: error: ip-26-0-161-138: task 0: Exited with exit code 1
[2024-07-06 09:44:19,554] torch.distributed.elastic.rendezvous.dynamic_rendezvous: [WARNING] The node 'ip-26-0-161-142.ec2.internal_651114_0' has failed to send a keep-alive heartbeat to the rendezvous 'none' due to an error of type RendezvousConnectionError.
[2024-07-06 09:44:19,561] torch.distributed.elastic.rendezvous.dynamic_rendezvous: [WARNING] The node 'ip-26-0-163-147.ec2.internal_2037308_0' has failed to send a keep-alive heartbeat to the rendezvous 'none' due to an error of type RendezvousConnectionError.
[2024-07-06 09:44:20,210] torch.distributed.elastic.rendezvous.dynamic_rendezvous: [WARNING] The node 'ip-26-0-163-134.ec2.internal_3627490_0' has failed to send a keep-alive heartbeat to the rendezvous 'none' due to an error of type RendezvousConnectionError.
[2024-07-06 09:44:20,329] torch.distributed.elastic.rendezvous.dynamic_rendezvous: [WARNING] The node 'ip-26-0-165-59.ec2.internal_124409_0' has failed to send a keep-alive heartbeat to the rendezvous 'none' due to an error of type RendezvousConnectionError.
[2024-07-06 09:44:20,358] torch.distributed.elastic.rendezvous.dynamic_rendezvous: [WARNING] The node 'ip-26-0-173-246.ec2.internal_293138_0' has failed to send a keep-alive heartbeat to the rendezvous 'none' due to an error of type RendezvousConnectionError.
[2024-07-06 09:44:20,460] torch.distributed.elastic.rendezvous.dynamic_rendezvous: [WARNING] The node 'ip-26-0-165-131.ec2.internal_334121_0' has failed to send a keep-alive heartbeat to the rendezvous 'none' due to an error of type RendezvousConnectionError.
[2024-07-06 09:44:20,517] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 124479 closing signal SIGTERM
[2024-07-06 09:44:20,517] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 124480 closing signal SIGTERM
[2024-07-06 09:44:20,518] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 124481 closing signal SIGTERM
[2024-07-06 09:44:20,519] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 124482 closing signal SIGTERM
[2024-07-06 09:44:20,520] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 124483 closing signal SIGTERM
[2024-07-06 09:44:20,521] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 124484 closing signal SIGTERM
[2024-07-06 09:44:20,521] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 124485 closing signal SIGTERM
[2024-07-06 09:44:20,522] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 124486 closing signal SIGTERM
[2024-07-06 09:44:20,522] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 2037378 closing signal SIGTERM
[2024-07-06 09:44:20,522] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 2037379 closing signal SIGTERM
[2024-07-06 09:44:20,525] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 2037380 closing signal SIGTERM
[2024-07-06 09:44:20,525] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 2037381 closing signal SIGTERM
[2024-07-06 09:44:20,525] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 2037382 closing signal SIGTERM
[2024-07-06 09:44:20,527] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 3627560 closing signal SIGTERM
[2024-07-06 09:44:20,527] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 3627561 closing signal SIGTERM
[2024-07-06 09:44:20,526] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 2037383 closing signal SIGTERM
[2024-07-06 09:44:20,528] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 2037384 closing signal SIGTERM
[2024-07-06 09:44:20,528] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 2037385 closing signal SIGTERM
[2024-07-06 09:44:20,530] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 334195 closing signal SIGTERM
[2024-07-06 09:44:20,530] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 334196 closing signal SIGTERM
[2024-07-06 09:44:20,531] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 334197 closing signal SIGTERM
[2024-07-06 09:44:20,530] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 3627562 closing signal SIGTERM
[2024-07-06 09:44:20,530] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 3627563 closing signal SIGTERM
[2024-07-06 09:44:20,531] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 334198 closing signal SIGTERM
[2024-07-06 09:44:20,531] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 293208 closing signal SIGTERM
[2024-07-06 09:44:20,531] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 3627564 closing signal SIGTERM
[2024-07-06 09:44:20,532] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 293209 closing signal SIGTERM
[2024-07-06 09:44:20,531] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 3627565 closing signal SIGTERM
[2024-07-06 09:44:20,531] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 3627566 closing signal SIGTERM
[2024-07-06 09:44:20,532] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 3627567 closing signal SIGTERM
[2024-07-06 09:44:20,533] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 293210 closing signal SIGTERM
[2024-07-06 09:44:20,533] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 334199 closing signal SIGTERM
[2024-07-06 09:44:20,533] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 334200 closing signal SIGTERM
[2024-07-06 09:44:20,534] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 651186 closing signal SIGTERM
[2024-07-06 09:44:20,535] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 651187 closing signal SIGTERM
[2024-07-06 09:44:20,535] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 334201 closing signal SIGTERM
[2024-07-06 09:44:20,536] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 651188 closing signal SIGTERM
[2024-07-06 09:44:20,536] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 651189 closing signal SIGTERM
[2024-07-06 09:44:20,535] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 293211 closing signal SIGTERM
[2024-07-06 09:44:20,535] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 293212 closing signal SIGTERM
[2024-07-06 09:44:20,536] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 334202 closing signal SIGTERM
[2024-07-06 09:44:20,537] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 651190 closing signal SIGTERM
[2024-07-06 09:44:20,537] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 651191 closing signal SIGTERM
[2024-07-06 09:44:20,537] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 293213 closing signal SIGTERM
[2024-07-06 09:44:20,537] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 293214 closing signal SIGTERM
[2024-07-06 09:44:20,537] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 293215 closing signal SIGTERM
[2024-07-06 09:44:20,538] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 651192 closing signal SIGTERM
[2024-07-06 09:44:20,539] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 651193 closing signal SIGTERM
[2024-07-06 09:44:24,559] torch.distributed.elastic.rendezvous.dynamic_rendezvous: [WARNING] The node 'ip-26-0-161-142.ec2.internal_651114_0' has failed to send a keep-alive heartbeat to the rendezvous 'none' due to an error of type RendezvousConnectionError.
[2024-07-06 09:44:24,565] torch.distributed.elastic.rendezvous.dynamic_rendezvous: [WARNING] The node 'ip-26-0-163-147.ec2.internal_2037308_0' has failed to send a keep-alive heartbeat to the rendezvous 'none' due to an error of type RendezvousConnectionError.
[2024-07-06 09:44:25,071] torch.distributed.elastic.rendezvous.dynamic_rendezvous: [WARNING] The node 'ip-26-0-165-131.ec2.internal_334121_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/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 113, in _call_store
    return getattr(self._store, store_op)(*args, **kwargs)
torch.distributed.DistNetworkError: Broken pipe

The above exception was the direct cause of the following exception:

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 812, in main
    run(args)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 803, in run
    elastic_launch(
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 135, 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 259, in launch_agent
    result = agent.run()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/metrics/api.py", line 123, in wrapper
    result = f(*args, **kwargs)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 727, in run
    result = self._invoke_run(role)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 900, in _invoke_run
    num_nodes_waiting = rdzv_handler.num_nodes_waiting()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 1083, in num_nodes_waiting
    self._state_holder.sync()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 409, in sync
    get_response = self._backend.get_state()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 73, in get_state
    base64_state: bytes = self._call_store("get", self._key)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 115, in _call_store
    raise RendezvousConnectionError(
torch.distributed.elastic.rendezvous.api.RendezvousConnectionError: The connection to the C10d store has failed. See inner exception for details.
[2024-07-06 09:44:25,214] torch.distributed.elastic.rendezvous.dynamic_rendezvous: [WARNING] The node 'ip-26-0-163-134.ec2.internal_3627490_0' has failed to send a keep-alive heartbeat to the rendezvous 'none' due to an error of type RendezvousConnectionError.
srun: error: ip-26-0-165-131: task 5: Exited with exit code 1
[2024-07-06 09:44:25,334] torch.distributed.elastic.rendezvous.dynamic_rendezvous: [WARNING] The node 'ip-26-0-165-59.ec2.internal_124409_0' has failed to send a keep-alive heartbeat to the rendezvous 'none' due to an error of type RendezvousConnectionError.
[2024-07-06 09:44:25,363] torch.distributed.elastic.rendezvous.dynamic_rendezvous: [WARNING] The node 'ip-26-0-173-246.ec2.internal_293138_0' has failed to send a keep-alive heartbeat to the rendezvous 'none' due to an error of type RendezvousConnectionError.
[2024-07-06 09:44:25,474] torch.distributed.elastic.rendezvous.dynamic_rendezvous: [WARNING] The node 'ip-26-0-173-246.ec2.internal_293138_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/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 113, in _call_store
    return getattr(self._store, store_op)(*args, **kwargs)
torch.distributed.DistNetworkError: Broken pipe

The above exception was the direct cause of the following exception:

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 812, in main
    run(args)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 803, in run
    elastic_launch(
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 135, 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 259, in launch_agent
[2024-07-06 09:44:25,477] torch.distributed.elastic.rendezvous.dynamic_rendezvous: [WARNING] The node 'ip-26-0-165-59.ec2.internal_124409_0' has failed to shutdown the rendezvous 'none' due to an error of type RendezvousConnectionError.
    result = agent.run()
Traceback (most recent call last):
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 113, in _call_store
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/metrics/api.py", line 123, in wrapper
    result = f(*args, **kwargs)
    return getattr(self._store, store_op)(*args, **kwargs)
torch.distributed.DistNetworkError: Broken pipe

The above exception was the direct cause of the following exception:

  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 727, in run
Traceback (most recent call last):
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/torchrun", line 8, in <module>
    result = self._invoke_run(role)
    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
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 900, in _invoke_run
    return f(*args, **kwargs)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 812, in main
    num_nodes_waiting = rdzv_handler.num_nodes_waiting()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 1083, in num_nodes_waiting
    run(args)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 803, in run
    self._state_holder.sync()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 409, in sync
    get_response = self._backend.get_state()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 73, in get_state
    elastic_launch(
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 135, in __call__
    base64_state: bytes = self._call_store("get", self._key)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 115, in _call_store
    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 259, in launch_agent
    raise RendezvousConnectionError(
torch.distributed.elastic.rendezvous.api.RendezvousConnectionError: The connection to the C10d store has failed. See inner exception for details.
    result = agent.run()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/metrics/api.py", line 123, in wrapper
    result = f(*args, **kwargs)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 727, in run
    result = self._invoke_run(role)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 900, in _invoke_run
    num_nodes_waiting = rdzv_handler.num_nodes_waiting()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 1083, in num_nodes_waiting
    self._state_holder.sync()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 409, in sync
    get_response = self._backend.get_state()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 73, in get_state
    base64_state: bytes = self._call_store("get", self._key)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 115, in _call_store
    raise RendezvousConnectionError(
torch.distributed.elastic.rendezvous.api.RendezvousConnectionError: The connection to the C10d store has failed. See inner exception for details.
srun: error: ip-26-0-165-59: task 4: Exited with exit code 1
srun: error: ip-26-0-173-246: task 6: Exited with exit code 1
[2024-07-06 09:44:25,877] torch.distributed.elastic.rendezvous.dynamic_rendezvous: [WARNING] The node 'ip-26-0-163-134.ec2.internal_3627490_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/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 113, in _call_store
    return getattr(self._store, store_op)(*args, **kwargs)
torch.distributed.DistNetworkError: Broken pipe

The above exception was the direct cause of the following exception:

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 812, in main
    run(args)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 803, in run
    elastic_launch(
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 135, 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 259, in launch_agent
    result = agent.run()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/metrics/api.py", line 123, in wrapper
    result = f(*args, **kwargs)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 727, in run
    result = self._invoke_run(role)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 900, in _invoke_run
    num_nodes_waiting = rdzv_handler.num_nodes_waiting()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 1083, in num_nodes_waiting
    self._state_holder.sync()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 409, in sync
    get_response = self._backend.get_state()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 73, in get_state
    base64_state: bytes = self._call_store("get", self._key)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 115, in _call_store
    raise RendezvousConnectionError(
torch.distributed.elastic.rendezvous.api.RendezvousConnectionError: The connection to the C10d store has failed. See inner exception for details.
[2024-07-06 09:44:25,891] torch.distributed.elastic.rendezvous.dynamic_rendezvous: [WARNING] The node 'ip-26-0-161-142.ec2.internal_651114_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/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 113, in _call_store
    return getattr(self._store, store_op)(*args, **kwargs)
torch.distributed.DistNetworkError: Broken pipe

The above exception was the direct cause of the following exception:

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 812, in main
    run(args)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 803, in run
    elastic_launch(
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 135, 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 259, in launch_agent
    result = agent.run()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/metrics/api.py", line 123, in wrapper
    result = f(*args, **kwargs)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 727, in run
    result = self._invoke_run(role)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 900, in _invoke_run
    num_nodes_waiting = rdzv_handler.num_nodes_waiting()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 1083, in num_nodes_waiting
    self._state_holder.sync()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 409, in sync
    get_response = self._backend.get_state()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 73, in get_state
    base64_state: bytes = self._call_store("get", self._key)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 115, in _call_store
    raise RendezvousConnectionError(
torch.distributed.elastic.rendezvous.api.RendezvousConnectionError: The connection to the C10d store has failed. See inner exception for details.
[2024-07-06 09:44:26,087] torch.distributed.elastic.rendezvous.dynamic_rendezvous: [WARNING] The node 'ip-26-0-163-147.ec2.internal_2037308_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/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 113, in _call_store
    return getattr(self._store, store_op)(*args, **kwargs)
torch.distributed.DistNetworkError: Broken pipe

The above exception was the direct cause of the following exception:

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 812, in main
    run(args)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 803, in run
    elastic_launch(
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 135, 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 259, in launch_agent
    result = agent.run()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/metrics/api.py", line 123, in wrapper
    result = f(*args, **kwargs)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 727, in run
    result = self._invoke_run(role)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 900, in _invoke_run
    num_nodes_waiting = rdzv_handler.num_nodes_waiting()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 1083, in num_nodes_waiting
    self._state_holder.sync()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 409, in sync
    get_response = self._backend.get_state()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 73, in get_state
    base64_state: bytes = self._call_store("get", self._key)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 115, in _call_store
    raise RendezvousConnectionError(
torch.distributed.elastic.rendezvous.api.RendezvousConnectionError: The connection to the C10d store has failed. See inner exception for details.
srun: error: ip-26-0-163-134: task 2: Exited with exit code 1
srun: error: ip-26-0-161-142: task 1: Exited with exit code 1
srun: error: ip-26-0-163-147: task 3: 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.