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START TIME: Wed Jul 3 22:37:45 UTC 2024
python3 version = Python 3.10.14
========================
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Already on 'bench_cluster'
M examples/config_tiny_llama.py
M examples/config_tiny_llama.yaml
M examples/train_tiny_llama.sh
M src/nanotron/models/llama.py
M src/nanotron/trainer.py
Your branch is up to date with 'origin/bench_cluster'.
Job status: RUNNING
W0703 22:37:54.883000 140093500766016 torch/distributed/run.py:757]
W0703 22:37:54.883000 140093500766016 torch/distributed/run.py:757] *****************************************
W0703 22:37:54.883000 140093500766016 torch/distributed/run.py:757] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed.
W0703 22:37:54.883000 140093500766016 torch/distributed/run.py:757] *****************************************
[default0]:07/03/2024 22:38:16 [WARNING|DP=0|PP=0|TP=0|ip-26-0-174-36]: [Vocab Size Padding] Padded vocab (size: 50257) with 7 dummy tokens (new size: 50264)
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Config:
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Config(general=GeneralArgs(project='bench_cluster',
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: run='%date_%jobid',
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: seed=42,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: step=None,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: consumed_train_samples=None,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: benchmark_csv_path=None,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: ignore_sanity_checks=True),
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: parallelism=ParallelismArgs(dp=1,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: pp=1,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: tp=8,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: pp_engine=<nanotron.parallel.pipeline_parallel.engine.OneForwardOneBackwardPipelineEngine object at 0x7f94af1f0730>,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: tp_mode=<TensorParallelLinearMode.REDUCE_SCATTER: 2>,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: tp_linear_async_communication=False,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: expert_parallel_size=1),
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: model=ModelArgs(model_config=LlamaConfig(bos_token_id=1,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: eos_token_id=2,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: hidden_act='silu',
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: hidden_size=2048,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: initializer_range=0.02,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: intermediate_size=4096,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: is_llama_config=True,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: max_position_embeddings=4096,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: num_attention_heads=32,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: num_hidden_layers=24,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: num_key_value_heads=32,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: pad_token_id=None,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: pretraining_tp=1,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: rms_norm_eps=1e-05,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: rope_scaling=None,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: rope_theta=10000.0,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: tie_word_embeddings=True,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: use_cache=True,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: vocab_size=50264),
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: init_method=RandomInit(std=0.025),
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: dtype=torch.bfloat16,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: make_vocab_size_divisible_by=1,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: ddp_bucket_cap_mb=25),
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: tokenizer=TokenizerArgs(tokenizer_name_or_path='openai-community/gpt2',
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: tokenizer_revision=None,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: tokenizer_max_length=None),
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: checkpoints=CheckpointsArgs(checkpoints_path=Path('/dev/null'),
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: checkpoint_interval=100000,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: save_initial_state=False,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: resume_checkpoint_path=None,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: checkpoints_path_is_shared_file_system=False),
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: logging=LoggingArgs(log_level='info',
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: log_level_replica='info',
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: iteration_step_info_interval=1),
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: tokens=TokensArgs(sequence_length=4096,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: train_steps=20,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: micro_batch_size=8,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: batch_accumulation_per_replica=128,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: val_check_interval=-1,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: limit_val_batches=0,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: limit_test_batches=0),
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: optimizer=OptimizerArgs(optimizer_factory=AdamWOptimizerArgs(adam_eps=1e-08,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: adam_beta1=0.9,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: adam_beta2=0.95,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: torch_adam_is_fused=True,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: name='adamW'),
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: zero_stage=1,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: weight_decay=0.01,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: clip_grad=1.0,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: accumulate_grad_in_fp32=True,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: learning_rate_scheduler=LRSchedulerArgs(learning_rate=0.0001,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: lr_warmup_steps=1,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: lr_warmup_style='linear',
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: lr_decay_style='linear',
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: lr_decay_steps=19,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: lr_decay_starting_step=None,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: min_decay_lr=1e-05)),
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: data_stages=[DatasetStageArgs(name='Training Stage',
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: start_training_step=1,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: data=DataArgs(dataset=PretrainDatasetsArgs(hf_dataset_or_datasets='roneneldan/TinyStories',
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: hf_dataset_splits='train',
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: hf_dataset_config_name=None,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: dataset_processing_num_proc_per_process=64,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: dataset_overwrite_cache=False,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: text_column_name='text'),
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: seed=42,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: num_loading_workers=0))],
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: profiler=ProfilerArgs(profiler_export_path=Path('/fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-8')),
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: lighteval=None)
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Model Config:
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: LlamaConfig(bos_token_id=1,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: eos_token_id=2,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: hidden_act='silu',
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: hidden_size=2048,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: initializer_range=0.02,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: intermediate_size=4096,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: is_llama_config=True,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: max_position_embeddings=4096,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: num_attention_heads=32,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: num_hidden_layers=24,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: num_key_value_heads=32,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: pad_token_id=None,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: pretraining_tp=1,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: rms_norm_eps=1e-05,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: rope_scaling=None,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: rope_theta=10000.0,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: tie_word_embeddings=True,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: use_cache=True,
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: vocab_size=50264)
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Building model..
[default0]:07/03/2024 22:38:16 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Setting PP block ranks...
[default4]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=4|ip-26-0-174-36]: Local number of parameters: 139M (264.73MiB)
[default4]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=4|ip-26-0-174-36]: [After model building] Memory usage: 290.76MiB. Peak allocated: 317.33MiB Peak reserved: 324.00MiB
[default4]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=4|ip-26-0-174-36]: No checkpoint path provided.
[default1]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=1|ip-26-0-174-36]: Local number of parameters: 139M (264.73MiB)
[default1]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=1|ip-26-0-174-36]: [After model building] Memory usage: 290.76MiB. Peak allocated: 317.33MiB Peak reserved: 324.00MiB
[default1]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=1|ip-26-0-174-36]: No checkpoint path provided.
[default0]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Total number of parameters: 1.11G (2117.88MiB)
[default0]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Local number of parameters: 139M (264.73MiB)
[default2]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=2|ip-26-0-174-36]: Local number of parameters: 139M (264.73MiB)
[default2]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=2|ip-26-0-174-36]: [After model building] Memory usage: 290.76MiB. Peak allocated: 317.33MiB Peak reserved: 324.00MiB
[default2]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=2|ip-26-0-174-36]: No checkpoint path provided.
[default0]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: [After model building] Memory usage: 290.76MiB. Peak allocated: 317.33MiB Peak reserved: 324.00MiB
[default0]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: No checkpoint path provided.
[default0]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Parametrizing model parameters using StandardParametrizator
[default0]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: [Optimizer Building] Using LearningRateForSP as learning rate
[default0]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: [ZeRO sharding] Size of optimizer params per rank:
[default0]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: [ZeRO sharding] DP Rank 0 has 139M out of 139M (100.00%) params' optimizer states
[default6]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=6|ip-26-0-174-36]: Local number of parameters: 139M (264.73MiB)
[default6]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=6|ip-26-0-174-36]: [After model building] Memory usage: 290.76MiB. Peak allocated: 317.33MiB Peak reserved: 324.00MiB
[default6]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=6|ip-26-0-174-36]: No checkpoint path provided.
[default3]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=3|ip-26-0-174-36]: Local number of parameters: 139M (264.73MiB)
[default3]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=3|ip-26-0-174-36]: [After model building] Memory usage: 290.76MiB. Peak allocated: 317.33MiB Peak reserved: 324.00MiB
[default3]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=3|ip-26-0-174-36]: No checkpoint path provided.
[default5]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=5|ip-26-0-174-36]: Local number of parameters: 139M (264.73MiB)
[default5]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=5|ip-26-0-174-36]: [After model building] Memory usage: 290.76MiB. Peak allocated: 317.33MiB Peak reserved: 324.00MiB
[default5]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=5|ip-26-0-174-36]: No checkpoint path provided.
[default7]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=7|ip-26-0-174-36]: Local number of parameters: 139M (264.73MiB)
[default7]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=7|ip-26-0-174-36]: [After model building] Memory usage: 290.76MiB. Peak allocated: 317.33MiB Peak reserved: 324.00MiB
[default7]:07/03/2024 22:38:32 [INFO|DP=0|PP=0|TP=7|ip-26-0-174-36]: No checkpoint path provided.
[default0]:07/03/2024 22:38:34 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: [Training Plan] Stage Training Stage has 19 remaining training steps and has consumed 0 samples
[default0]:07/03/2024 22:38:34 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Using `datasets` library
[default0]:07/03/2024 22:38:34 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Loading tokenizer from openai-community/gpt2 and transformers/hf_hub versions ('4.41.2', '0.23.4')
[default0]:07/03/2024 22:38:34 [WARNING|DP=0|PP=0|TP=0|ip-26-0-174-36]: Repo card metadata block was not found. Setting CardData to empty.
[default0]:Repo card metadata block was not found. Setting CardData to empty.
[default0]:07/03/2024 22:38:36 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: [Training Plan] There are 1 training stages
[default0]:07/03/2024 22:38:36 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: [Stage Training Stage] start from step 1
[default0]:07/03/2024 22:38:36 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]:
[default0]:07/03/2024 22:38:36 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: [Start training] datetime: 2024-07-03 22:38:36.428646 | mbs: 8 | grad_accum: 128 | global_batch_size: 1024 | sequence_length: 4096 | train_steps: 20 | start_iteration_step: 0 | consumed_train_samples: 0
[default0]:07/03/2024 22:38:36 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Resuming training from stage Training Stage, it has trained for 0 samples and has 19 remaining train steps
[default0]:07/03/2024 22:38:36 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Memory usage: 1350.75MiB. Peak allocated 1350.76MiB. Peak reserved: 1384.00MiB
[default4]:07/03/2024 22:38:36 [WARNING|DP=0|PP=0|TP=4|ip-26-0-174-36]: Repo card metadata block was not found. Setting CardData to empty.
[default2]:07/03/2024 22:38:36 [WARNING|DP=0|PP=0|TP=2|ip-26-0-174-36]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:07/03/2024 22:38:36 [WARNING|DP=0|PP=0|TP=3|ip-26-0-174-36]: Repo card metadata block was not found. Setting CardData to empty.
[default5]:07/03/2024 22:38:36 [WARNING|DP=0|PP=0|TP=5|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.
[default3]:Repo card metadata block was not found. Setting CardData to empty.
[default4]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:Repo card metadata block was not found. Setting CardData to empty.
[default7]:07/03/2024 22:38:36 [WARNING|DP=0|PP=0|TP=7|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.
[default7]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:07/03/2024 22:38:36 [WARNING|DP=0|PP=0|TP=1|ip-26-0-174-36]: Repo card metadata block was not found. Setting CardData to empty.
[default6]:07/03/2024 22:38:36 [WARNING|DP=0|PP=0|TP=6|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]:/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/autograd/graph.py:744: UserWarning: c10d::allreduce_: an autograd kernel was not registered to the Autograd key(s) but we are trying to backprop through it. This may lead to silently incorrect behavior. This behavior is deprecated and will be removed in a future version of PyTorch. If your operator is differentiable, please ensure you have registered an autograd kernel to the correct Autograd key (e.g. DispatchKey::Autograd, DispatchKey::CompositeImplicitAutograd). If your operator is not differentiable, or to squash this warning and use the previous behavior, please register torch::CppFunction::makeFallthrough() to DispatchKey::Autograd. (Triggered internally at ../torch/csrc/autograd/autograd_not_implemented_fallback.cpp:63.)
[default2]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
[default3]:/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/autograd/graph.py:744: UserWarning: c10d::allreduce_: an autograd kernel was not registered to the Autograd key(s) but we are trying to backprop through it. This may lead to silently incorrect behavior. This behavior is deprecated and will be removed in a future version of PyTorch. If your operator is differentiable, please ensure you have registered an autograd kernel to the correct Autograd key (e.g. DispatchKey::Autograd, DispatchKey::CompositeImplicitAutograd). If your operator is not differentiable, or to squash this warning and use the previous behavior, please register torch::CppFunction::makeFallthrough() to DispatchKey::Autograd. (Triggered internally at ../torch/csrc/autograd/autograd_not_implemented_fallback.cpp:63.)
[default3]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
[default4]:/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/autograd/graph.py:744: UserWarning: c10d::allreduce_: an autograd kernel was not registered to the Autograd key(s) but we are trying to backprop through it. This may lead to silently incorrect behavior. This behavior is deprecated and will be removed in a future version of PyTorch. If your operator is differentiable, please ensure you have registered an autograd kernel to the correct Autograd key (e.g. DispatchKey::Autograd, DispatchKey::CompositeImplicitAutograd). If your operator is not differentiable, or to squash this warning and use the previous behavior, please register torch::CppFunction::makeFallthrough() to DispatchKey::Autograd. (Triggered internally at ../torch/csrc/autograd/autograd_not_implemented_fallback.cpp:63.)
[default4]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
[default6]:/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/autograd/graph.py:744: UserWarning: c10d::allreduce_: an autograd kernel was not registered to the Autograd key(s) but we are trying to backprop through it. This may lead to silently incorrect behavior. This behavior is deprecated and will be removed in a future version of PyTorch. If your operator is differentiable, please ensure you have registered an autograd kernel to the correct Autograd key (e.g. DispatchKey::Autograd, DispatchKey::CompositeImplicitAutograd). If your operator is not differentiable, or to squash this warning and use the previous behavior, please register torch::CppFunction::makeFallthrough() to DispatchKey::Autograd. (Triggered internally at ../torch/csrc/autograd/autograd_not_implemented_fallback.cpp:63.)
[default6]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
[default1]:/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/autograd/graph.py:744: UserWarning: c10d::allreduce_: an autograd kernel was not registered to the Autograd key(s) but we are trying to backprop through it. This may lead to silently incorrect behavior. This behavior is deprecated and will be removed in a future version of PyTorch. If your operator is differentiable, please ensure you have registered an autograd kernel to the correct Autograd key (e.g. DispatchKey::Autograd, DispatchKey::CompositeImplicitAutograd). If your operator is not differentiable, or to squash this warning and use the previous behavior, please register torch::CppFunction::makeFallthrough() to DispatchKey::Autograd. (Triggered internally at ../torch/csrc/autograd/autograd_not_implemented_fallback.cpp:63.)
[default1]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
[default0]:/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/autograd/graph.py:744: UserWarning: c10d::allreduce_: an autograd kernel was not registered to the Autograd key(s) but we are trying to backprop through it. This may lead to silently incorrect behavior. This behavior is deprecated and will be removed in a future version of PyTorch. If your operator is differentiable, please ensure you have registered an autograd kernel to the correct Autograd key (e.g. DispatchKey::Autograd, DispatchKey::CompositeImplicitAutograd). If your operator is not differentiable, or to squash this warning and use the previous behavior, please register torch::CppFunction::makeFallthrough() to DispatchKey::Autograd. (Triggered internally at ../torch/csrc/autograd/autograd_not_implemented_fallback.cpp:63.)
[default0]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
[default5]:/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/autograd/graph.py:744: UserWarning: c10d::allreduce_: an autograd kernel was not registered to the Autograd key(s) but we are trying to backprop through it. This may lead to silently incorrect behavior. This behavior is deprecated and will be removed in a future version of PyTorch. If your operator is differentiable, please ensure you have registered an autograd kernel to the correct Autograd key (e.g. DispatchKey::Autograd, DispatchKey::CompositeImplicitAutograd). If your operator is not differentiable, or to squash this warning and use the previous behavior, please register torch::CppFunction::makeFallthrough() to DispatchKey::Autograd. (Triggered internally at ../torch/csrc/autograd/autograd_not_implemented_fallback.cpp:63.)
[default5]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
[default7]:/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/autograd/graph.py:744: UserWarning: c10d::allreduce_: an autograd kernel was not registered to the Autograd key(s) but we are trying to backprop through it. This may lead to silently incorrect behavior. This behavior is deprecated and will be removed in a future version of PyTorch. If your operator is differentiable, please ensure you have registered an autograd kernel to the correct Autograd key (e.g. DispatchKey::Autograd, DispatchKey::CompositeImplicitAutograd). If your operator is not differentiable, or to squash this warning and use the previous behavior, please register torch::CppFunction::makeFallthrough() to DispatchKey::Autograd. (Triggered internally at ../torch/csrc/autograd/autograd_not_implemented_fallback.cpp:63.)
[default7]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
[default4]:/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py:2261: UserWarning: torch.distributed.all_reduce_coalesced will be deprecated. If you must use it, please revisit our documentation later at https://pytorch.org/docs/master/distributed.html#collective-functions
[default0]:07/03/2024 22:39:18 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Memory usage: 1427.38MiB. Peak allocated 15829.87MiB. Peak reserved: 17044.00MiB
[default4]: warnings.warn(
[default6]:/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py:2261: UserWarning: torch.distributed.all_reduce_coalesced will be deprecated. If you must use it, please revisit our documentation later at https://pytorch.org/docs/master/distributed.html#collective-functions
[default3]:/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py:2261: UserWarning: torch.distributed.all_reduce_coalesced will be deprecated. If you must use it, please revisit our documentation later at https://pytorch.org/docs/master/distributed.html#collective-functions
[default2]:/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py:2261: UserWarning: torch.distributed.all_reduce_coalesced will be deprecated. If you must use it, please revisit our documentation later at https://pytorch.org/docs/master/distributed.html#collective-functions
[default2]: warnings.warn(
[default6]: warnings.warn(
[default3]: warnings.warn(
[default1]:/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py:2261: UserWarning: torch.distributed.all_reduce_coalesced will be deprecated. If you must use it, please revisit our documentation later at https://pytorch.org/docs/master/distributed.html#collective-functions
[default1]: warnings.warn(
[default5]:/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py:2261: UserWarning: torch.distributed.all_reduce_coalesced will be deprecated. If you must use it, please revisit our documentation later at https://pytorch.org/docs/master/distributed.html#collective-functions
[default5]: warnings.warn(
[default7]:/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py:2261: UserWarning: torch.distributed.all_reduce_coalesced will be deprecated. If you must use it, please revisit our documentation later at https://pytorch.org/docs/master/distributed.html#collective-functions
[default7]: warnings.warn(
[default0]:/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py:2261: UserWarning: torch.distributed.all_reduce_coalesced will be deprecated. If you must use it, please revisit our documentation later at https://pytorch.org/docs/master/distributed.html#collective-functions
[default0]: warnings.warn(
[default0]:07/03/2024 22:39:18 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: iteration: 1 / 20 | consumed_tokens: 4.19M | elapsed_time_per_iteration_ms: 41.8K | tokens_per_sec: 100K | tokens_per_sec_per_gpu: 12.6K | global_batch_size: 1.02K | lm_loss: 11.5 | lr: 0.0001 | model_tflops_per_gpu: 114 | hardware_tflops_per_gpu: 114 | grad_norm: 15.7 | cuda_memory_allocated: 2.61G | cuda_max_memory_reserved: 17.9G | hd_total_memory_tb: 312G | hd_used_memory_tb: 65.8G | hd_free_memory_tb: 246G
[default0]:07/03/2024 22:39:18 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Memory usage: 2488.76MiB. Peak allocated 2488.76MiB. Peak reserved: 17044.00MiB
[default0]:07/03/2024 22:39:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Memory usage: 2488.82MiB. Peak allocated 16891.31MiB. Peak reserved: 17044.00MiB
[default0]:07/03/2024 22:39:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: iteration: 2 / 20 | consumed_tokens: 8.39M | elapsed_time_per_iteration_ms: 25.6K | tokens_per_sec: 164K | tokens_per_sec_per_gpu: 20.5K | global_batch_size: 1.02K | lm_loss: 11.5 | lr: 9.53e-05 | model_tflops_per_gpu: 186 | hardware_tflops_per_gpu: 186 | grad_norm: 16 | cuda_memory_allocated: 2.61G | cuda_max_memory_reserved: 17.9G | hd_total_memory_tb: 312G | hd_used_memory_tb: 65.8G | hd_free_memory_tb: 246G
[default0]:07/03/2024 22:39:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Memory usage: 2488.76MiB. Peak allocated 2488.90MiB. Peak reserved: 17044.00MiB
[default0]:07/03/2024 22:40:09 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Memory usage: 2488.82MiB. Peak allocated 16891.31MiB. Peak reserved: 17044.00MiB
[default0]:07/03/2024 22:40:09 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: iteration: 3 / 20 | consumed_tokens: 12.6M | elapsed_time_per_iteration_ms: 25.6K | tokens_per_sec: 164K | tokens_per_sec_per_gpu: 20.5K | global_batch_size: 1.02K | lm_loss: 12.8 | lr: 9.05e-05 | model_tflops_per_gpu: 186 | hardware_tflops_per_gpu: 186 | grad_norm: 137 | cuda_memory_allocated: 2.61G | cuda_max_memory_reserved: 17.9G | hd_total_memory_tb: 312G | hd_used_memory_tb: 65.8G | hd_free_memory_tb: 246G
[default0]:STAGE:2024-07-03 22:40:09 233048:233048 ActivityProfilerController.cpp:314] Completed Stage: Warm Up
[default0]:07/03/2024 22:40:09 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Memory usage: 2488.76MiB. Peak allocated 2488.90MiB. Peak reserved: 17044.00MiB
[default0]:07/03/2024 22:40:37 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Memory usage: 2488.82MiB. Peak allocated 16891.31MiB. Peak reserved: 17044.00MiB
[default0]:07/03/2024 22:40:37 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: iteration: 4 / 20 | consumed_tokens: 16.8M | elapsed_time_per_iteration_ms: 28.1K | tokens_per_sec: 149K | tokens_per_sec_per_gpu: 18.6K | global_batch_size: 1.02K | lm_loss: 12.2 | lr: 8.58e-05 | model_tflops_per_gpu: 169 | hardware_tflops_per_gpu: 169 | grad_norm: 22.4 | cuda_memory_allocated: 2.61G | cuda_max_memory_reserved: 17.9G | hd_total_memory_tb: 312G | hd_used_memory_tb: 65.8G | hd_free_memory_tb: 246G
[default0]:07/03/2024 22:40:37 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Memory usage: 2488.76MiB. Peak allocated 2488.90MiB. Peak reserved: 17044.00MiB
[default0]:07/03/2024 22:41:05 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: iteration: 5 / 20 | consumed_tokens: 21M | elapsed_time_per_iteration_ms: 28.4K | tokens_per_sec: 148K | tokens_per_sec_per_gpu: 18.5K | global_batch_size: 1.02K | lm_loss: 12.4 | lr: 8.11e-05 | model_tflops_per_gpu: 168 | hardware_tflops_per_gpu: 168 | grad_norm: 43
[default0]:07/03/2024 22:41:05 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Memory usage: 2488.76MiB. Peak allocated 16891.31MiB. Peak reserved: 17044.00MiB
[default0]:07/03/2024 22:41:34 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: iteration: 6 / 20 | consumed_tokens: 25.2M | elapsed_time_per_iteration_ms: 28.5K | tokens_per_sec: 147K | tokens_per_sec_per_gpu: 18.4K | global_batch_size: 1.02K | lm_loss: 11.1 | lr: 7.63e-05 | model_tflops_per_gpu: 167 | hardware_tflops_per_gpu: 167 | grad_norm: 24.7
[default0]:STAGE:2024-07-03 22:42:45 233048:233048 ActivityProfilerController.cpp:320] Completed Stage: Collection
[default0]:STAGE:2024-07-03 22:42:52 233048:233048 ActivityProfilerController.cpp:324] Completed Stage: Post Processing
[default5]:[rank5]:[E ProcessGroupNCCL.cpp:563] [Rank 5] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=152896, OpType=_REDUCE_SCATTER_BASE, NumelIn=67108864, NumelOut=8388608, Timeout(ms)=600000) ran for 600021 milliseconds before timing out.
[default3]:[rank3]:[E ProcessGroupNCCL.cpp:563] [Rank 3] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=152896, OpType=_REDUCE_SCATTER_BASE, NumelIn=67108864, NumelOut=8388608, Timeout(ms)=600000) ran for 600023 milliseconds before timing out.
[default6]:[rank6]:[E ProcessGroupNCCL.cpp:563] [Rank 6] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=152896, OpType=_REDUCE_SCATTER_BASE, NumelIn=67108864, NumelOut=8388608, Timeout(ms)=600000) ran for 600021 milliseconds before timing out.
[default4]:[rank4]:[E ProcessGroupNCCL.cpp:563] [Rank 4] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=152896, OpType=_REDUCE_SCATTER_BASE, NumelIn=67108864, NumelOut=8388608, Timeout(ms)=600000) ran for 600016 milliseconds before timing out.
[default2]:[rank2]:[E ProcessGroupNCCL.cpp:563] [Rank 2] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=152896, OpType=_REDUCE_SCATTER_BASE, NumelIn=67108864, NumelOut=8388608, Timeout(ms)=600000) ran for 600017 milliseconds before timing out.
[default1]:[rank1]:[E ProcessGroupNCCL.cpp:563] [Rank 1] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=152896, OpType=_REDUCE_SCATTER_BASE, NumelIn=67108864, NumelOut=8388608, Timeout(ms)=600000) ran for 600034 milliseconds before timing out.
[default7]:[rank7]:[E ProcessGroupNCCL.cpp:563] [Rank 7] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=152896, OpType=_REDUCE_SCATTER_BASE, NumelIn=67108864, NumelOut=8388608, Timeout(ms)=600000) ran for 600092 milliseconds before timing out.
[default0]:07/03/2024 22:51:54 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Memory usage: 2488.76MiB. Peak allocated 16891.31MiB. Peak reserved: 17044.00MiB
[default3]:[rank3]:[E ProcessGroupNCCL.cpp:1537] [PG 2 Rank 3] Timeout at NCCL work: 152896, last enqueued NCCL work: 153008, last completed NCCL work: 152895.
[default3]:[rank3]:[E ProcessGroupNCCL.cpp:577] [Rank 3] Some NCCL operations have failed or timed out. Due to the asynchronous nature of CUDA kernels, subsequent GPU operations might run on corrupted/incomplete data.
[default3]:[rank3]:[E ProcessGroupNCCL.cpp:583] [Rank 3] To avoid data inconsistency, we are taking the entire process down.
[default3]:[rank3]:[E ProcessGroupNCCL.cpp:1414] [PG 2 Rank 3] Process group watchdog thread terminated with exception: [Rank 3] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=152896, OpType=_REDUCE_SCATTER_BASE, NumelIn=67108864, NumelOut=8388608, Timeout(ms)=600000) ran for 600023 milliseconds before timing out.
[default3]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
[default3]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fec27c09897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default3]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7fec28ee2c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default3]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7fec28ee7a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default3]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7fec28ee8dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default3]:frame #4: <unknown function> + 0xd3e95 (0x7fec74981e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default3]:frame #5: <unknown function> + 0x8609 (0x7fec799c8609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default3]:frame #6: clone + 0x43 (0x7fec79793353 in /lib/x86_64-linux-gnu/libc.so.6)
[default3]:
[default3]:terminate called after throwing an instance of 'c10::DistBackendError'
[default3]: what(): [PG 2 Rank 3] Process group watchdog thread terminated with exception: [Rank 3] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=152896, OpType=_REDUCE_SCATTER_BASE, NumelIn=67108864, NumelOut=8388608, Timeout(ms)=600000) ran for 600023 milliseconds before timing out.
[default3]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
[default3]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fec27c09897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default3]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7fec28ee2c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default3]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7fec28ee7a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default3]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7fec28ee8dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default3]:frame #4: <unknown function> + 0xd3e95 (0x7fec74981e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default3]:frame #5: <unknown function> + 0x8609 (0x7fec799c8609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default2]:[rank2]:[E ProcessGroupNCCL.cpp:1537] [PG 2 Rank 2] Timeout at NCCL work: 152896, last enqueued NCCL work: 153008, last completed NCCL work: 152895.
[default6]:[rank6]:[E ProcessGroupNCCL.cpp:1537] [PG 2 Rank 6] Timeout at NCCL work: 152896, last enqueued NCCL work: 153008, last completed NCCL work: 152895.
[default3]:frame #6: clone + 0x43 (0x7fec79793353 in /lib/x86_64-linux-gnu/libc.so.6)
[default6]:[rank6]:[E ProcessGroupNCCL.cpp:577] [Rank 6] Some NCCL operations have failed or timed out. Due to the asynchronous nature of CUDA kernels, subsequent GPU operations might run on corrupted/incomplete data.
[default2]:[rank2]:[E ProcessGroupNCCL.cpp:577] [Rank 2] Some NCCL operations have failed or timed out. Due to the asynchronous nature of CUDA kernels, subsequent GPU operations might run on corrupted/incomplete data.
[default2]:[rank2]:[E ProcessGroupNCCL.cpp:583] [Rank 2] To avoid data inconsistency, we are taking the entire process down.
[default4]:[rank4]:[E ProcessGroupNCCL.cpp:1537] [PG 2 Rank 4] Timeout at NCCL work: 152896, last enqueued NCCL work: 153008, last completed NCCL work: 152895.
[default4]:[rank4]:[E ProcessGroupNCCL.cpp:577] [Rank 4] Some NCCL operations have failed or timed out. Due to the asynchronous nature of CUDA kernels, subsequent GPU operations might run on corrupted/incomplete data.
[default3]:
[default2]:[rank2]:[E ProcessGroupNCCL.cpp:1414] [PG 2 Rank 2] Process group watchdog thread terminated with exception: [Rank 2] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=152896, OpType=_REDUCE_SCATTER_BASE, NumelIn=67108864, NumelOut=8388608, Timeout(ms)=600000) ran for 600017 milliseconds before timing out.
[default4]:[rank4]:[E ProcessGroupNCCL.cpp:583] [Rank 4] To avoid data inconsistency, we are taking the entire process down.
[default3]:Exception raised from ncclCommWatchdog at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1418 (most recent call first):
[default2]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
[default6]:[rank6]:[E ProcessGroupNCCL.cpp:583] [Rank 6] To avoid data inconsistency, we are taking the entire process down.
[default3]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fec27c09897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default4]:[rank4]:[E ProcessGroupNCCL.cpp:1414] [PG 2 Rank 4] Process group watchdog thread terminated with exception: [Rank 4] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=152896, OpType=_REDUCE_SCATTER_BASE, NumelIn=67108864, NumelOut=8388608, Timeout(ms)=600000) ran for 600016 milliseconds before timing out.
[default2]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f653ef99897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default6]:[rank6]:[E ProcessGroupNCCL.cpp:1414] [PG 2 Rank 6] Process group watchdog thread terminated with exception: [Rank 6] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=152896, OpType=_REDUCE_SCATTER_BASE, NumelIn=67108864, NumelOut=8388608, Timeout(ms)=600000) ran for 600021 milliseconds before timing out.
[default2]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7f6540272c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default3]:frame #1: <unknown function> + 0xe32119 (0x7fec28b6c119 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default6]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
[default2]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7f6540277a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default3]:frame #2: <unknown function> + 0xd3e95 (0x7fec74981e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default4]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
[default6]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fabab2c8897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default3]:frame #3: <unknown function> + 0x8609 (0x7fec799c8609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default6]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7fabac5a1c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default3]:frame #4: clone + 0x43 (0x7fec79793353 in /lib/x86_64-linux-gnu/libc.so.6)
[default4]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f69eb654897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default6]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7fabac5a6a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default3]:
[default2]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7f6540278dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default6]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7fabac5a7dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default2]:frame #4: <unknown function> + 0xd3e95 (0x7f658bd11e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default4]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7f69ec92dc62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default6]:frame #4: <unknown function> + 0xd3e95 (0x7fabf8040e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default4]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7f69ec932a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default6]:frame #5: <unknown function> + 0x8609 (0x7fabfd087609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default4]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7f69ec933dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default6]:frame #6: clone + 0x43 (0x7fabfce52353 in /lib/x86_64-linux-gnu/libc.so.6)
[default6]:
[default4]:frame #4: <unknown function> + 0xd3e95 (0x7f6a383cce95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default2]:frame #5: <unknown function> + 0x8609 (0x7f6590d58609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default6]:terminate called after throwing an instance of 'c10::DistBackendError'
[default4]:frame #5: <unknown function> + 0x8609 (0x7f6a3d413609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default6]: what(): [PG 2 Rank 6] Process group watchdog thread terminated with exception: [Rank 6] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=152896, OpType=_REDUCE_SCATTER_BASE, NumelIn=67108864, NumelOut=8388608, Timeout(ms)=600000) ran for 600021 milliseconds before timing out.
[default2]:frame #6: clone + 0x43 (0x7f6590b23353 in /lib/x86_64-linux-gnu/libc.so.6)
[default6]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
[default2]:
[default4]:frame #6: clone + 0x43 (0x7f6a3d1de353 in /lib/x86_64-linux-gnu/libc.so.6)
[default6]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fabab2c8897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default2]:terminate called after throwing an instance of 'c10::DistBackendError'
[default6]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7fabac5a1c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default4]:
[default6]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7fabac5a6a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default2]: what(): [PG 2 Rank 2] Process group watchdog thread terminated with exception: [Rank 2] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=152896, OpType=_REDUCE_SCATTER_BASE, NumelIn=67108864, NumelOut=8388608, Timeout(ms)=600000) ran for 600017 milliseconds before timing out.
[default4]:terminate called after throwing an instance of 'c10::DistBackendError'
[default6]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7fabac5a7dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default2]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
[default4]: what(): [PG 2 Rank 4] Process group watchdog thread terminated with exception: [Rank 4] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=152896, OpType=_REDUCE_SCATTER_BASE, NumelIn=67108864, NumelOut=8388608, Timeout(ms)=600000) ran for 600016 milliseconds before timing out.
[default2]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f653ef99897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default6]:frame #4: <unknown function> + 0xd3e95 (0x7fabf8040e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default4]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
[default6]:frame #5: <unknown function> + 0x8609 (0x7fabfd087609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default2]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7f6540272c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default6]:frame #6: clone + 0x43 (0x7fabfce52353 in /lib/x86_64-linux-gnu/libc.so.6)
[default2]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7f6540277a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default6]:
[default2]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7f6540278dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default4]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f69eb654897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default2]:frame #4: <unknown function> + 0xd3e95 (0x7f658bd11e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default6]:Exception raised from ncclCommWatchdog at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1418 (most recent call first):
[default2]:frame #5: <unknown function> + 0x8609 (0x7f6590d58609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default6]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fabab2c8897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default6]:frame #1: <unknown function> + 0xe32119 (0x7fabac22b119 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default2]:frame #6: clone + 0x43 (0x7f6590b23353 in /lib/x86_64-linux-gnu/libc.so.6)
[default4]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7f69ec92dc62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default6]:frame #2: <unknown function> + 0xd3e95 (0x7fabf8040e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default2]:
[default6]:frame #3: <unknown function> + 0x8609 (0x7fabfd087609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default2]:Exception raised from ncclCommWatchdog at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1418 (most recent call first):
[default6]:frame #4: clone + 0x43 (0x7fabfce52353 in /lib/x86_64-linux-gnu/libc.so.6)
[default4]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7f69ec932a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default4]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7f69ec933dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default2]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f653ef99897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default6]:
[default2]:frame #1: <unknown function> + 0xe32119 (0x7f653fefc119 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default4]:frame #4: <unknown function> + 0xd3e95 (0x7f6a383cce95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default4]:frame #5: <unknown function> + 0x8609 (0x7f6a3d413609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default4]:frame #6: clone + 0x43 (0x7f6a3d1de353 in /lib/x86_64-linux-gnu/libc.so.6)
[default4]:
[default4]:Exception raised from ncclCommWatchdog at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1418 (most recent call first):
[default4]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f69eb654897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default4]:frame #1: <unknown function> + 0xe32119 (0x7f69ec5b7119 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default2]:frame #2: <unknown function> + 0xd3e95 (0x7f658bd11e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default4]:frame #2: <unknown function> + 0xd3e95 (0x7f6a383cce95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default2]:frame #3: <unknown function> + 0x8609 (0x7f6590d58609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default2]:frame #4: clone + 0x43 (0x7f6590b23353 in /lib/x86_64-linux-gnu/libc.so.6)
[default4]:frame #3: <unknown function> + 0x8609 (0x7f6a3d413609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default2]:
[default4]:frame #4: clone + 0x43 (0x7f6a3d1de353 in /lib/x86_64-linux-gnu/libc.so.6)
[default4]:
[default1]:[rank1]:[E ProcessGroupNCCL.cpp:1537] [PG 2 Rank 1] Timeout at NCCL work: 152896, last enqueued NCCL work: 153008, last completed NCCL work: 152895.
[default1]:[rank1]:[E ProcessGroupNCCL.cpp:577] [Rank 1] Some NCCL operations have failed or timed out. Due to the asynchronous nature of CUDA kernels, subsequent GPU operations might run on corrupted/incomplete data.
[default1]:[rank1]:[E ProcessGroupNCCL.cpp:583] [Rank 1] To avoid data inconsistency, we are taking the entire process down.
[default1]:[rank1]:[E ProcessGroupNCCL.cpp:1414] [PG 2 Rank 1] Process group watchdog thread terminated with exception: [Rank 1] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=152896, OpType=_REDUCE_SCATTER_BASE, NumelIn=67108864, NumelOut=8388608, Timeout(ms)=600000) ran for 600034 milliseconds before timing out.
[default1]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
[default1]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f214d66c897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default1]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7f214e945c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7f214e94aa80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7f214e94bdcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:frame #4: <unknown function> + 0xd3e95 (0x7f219a3e4e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default1]:frame #5: <unknown function> + 0x8609 (0x7f219f42b609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default1]:frame #6: clone + 0x43 (0x7f219f1f6353 in /lib/x86_64-linux-gnu/libc.so.6)
[default1]:
[default1]:terminate called after throwing an instance of 'c10::DistBackendError'
[default1]: what(): [PG 2 Rank 1] Process group watchdog thread terminated with exception: [Rank 1] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=152896, OpType=_REDUCE_SCATTER_BASE, NumelIn=67108864, NumelOut=8388608, Timeout(ms)=600000) ran for 600034 milliseconds before timing out.
[default1]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
[default1]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f214d66c897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default1]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7f214e945c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7f214e94aa80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7f214e94bdcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:frame #4: <unknown function> + 0xd3e95 (0x7f219a3e4e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default1]:frame #5: <unknown function> + 0x8609 (0x7f219f42b609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default1]:frame #6: clone + 0x43 (0x7f219f1f6353 in /lib/x86_64-linux-gnu/libc.so.6)
[default1]:
[default1]:Exception raised from ncclCommWatchdog at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1418 (most recent call first):
[default1]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f214d66c897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default1]:frame #1: <unknown function> + 0xe32119 (0x7f214e5cf119 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:frame #2: <unknown function> + 0xd3e95 (0x7f219a3e4e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default1]:frame #3: <unknown function> + 0x8609 (0x7f219f42b609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default1]:frame #4: clone + 0x43 (0x7f219f1f6353 in /lib/x86_64-linux-gnu/libc.so.6)
[default1]:
[default5]:[rank5]:[E ProcessGroupNCCL.cpp:1537] [PG 2 Rank 5] Timeout at NCCL work: 152896, last enqueued NCCL work: 153008, last completed NCCL work: 152895.
[default5]:[rank5]:[E ProcessGroupNCCL.cpp:577] [Rank 5] Some NCCL operations have failed or timed out. Due to the asynchronous nature of CUDA kernels, subsequent GPU operations might run on corrupted/incomplete data.
[default5]:[rank5]:[E ProcessGroupNCCL.cpp:583] [Rank 5] To avoid data inconsistency, we are taking the entire process down.
[default5]:[rank5]:[E ProcessGroupNCCL.cpp:1414] [PG 2 Rank 5] Process group watchdog thread terminated with exception: [Rank 5] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=152896, OpType=_REDUCE_SCATTER_BASE, NumelIn=67108864, NumelOut=8388608, Timeout(ms)=600000) ran for 600021 milliseconds before timing out.
[default5]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
[default5]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f41c2d00897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default5]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7f41c3fd9c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default5]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7f41c3fdea80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default5]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7f41c3fdfdcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default5]:frame #4: <unknown function> + 0xd3e95 (0x7f420fa78e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default5]:frame #5: <unknown function> + 0x8609 (0x7f4214abf609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default5]:frame #6: clone + 0x43 (0x7f421488a353 in /lib/x86_64-linux-gnu/libc.so.6)
[default5]:
[default5]:terminate called after throwing an instance of 'c10::DistBackendError'
[default5]: what(): [PG 2 Rank 5] Process group watchdog thread terminated with exception: [Rank 5] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=152896, OpType=_REDUCE_SCATTER_BASE, NumelIn=67108864, NumelOut=8388608, Timeout(ms)=600000) ran for 600021 milliseconds before timing out.
[default5]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
[default5]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f41c2d00897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default5]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7f41c3fd9c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default5]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7f41c3fdea80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default5]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7f41c3fdfdcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default5]:frame #4: <unknown function> + 0xd3e95 (0x7f420fa78e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default5]:frame #5: <unknown function> + 0x8609 (0x7f4214abf609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default5]:frame #6: clone + 0x43 (0x7f421488a353 in /lib/x86_64-linux-gnu/libc.so.6)
[default5]:
[default5]:Exception raised from ncclCommWatchdog at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1418 (most recent call first):
[default5]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f41c2d00897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default5]:frame #1: <unknown function> + 0xe32119 (0x7f41c3c63119 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default5]:frame #2: <unknown function> + 0xd3e95 (0x7f420fa78e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default5]:frame #3: <unknown function> + 0x8609 (0x7f4214abf609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default5]:frame #4: clone + 0x43 (0x7f421488a353 in /lib/x86_64-linux-gnu/libc.so.6)
[default5]:
[default7]:[rank7]:[E ProcessGroupNCCL.cpp:1537] [PG 2 Rank 7] Timeout at NCCL work: 152896, last enqueued NCCL work: 153008, last completed NCCL work: 152895.
[default7]:[rank7]:[E ProcessGroupNCCL.cpp:577] [Rank 7] Some NCCL operations have failed or timed out. Due to the asynchronous nature of CUDA kernels, subsequent GPU operations might run on corrupted/incomplete data.
[default7]:[rank7]:[E ProcessGroupNCCL.cpp:583] [Rank 7] To avoid data inconsistency, we are taking the entire process down.
[default7]:[rank7]:[E ProcessGroupNCCL.cpp:1414] [PG 2 Rank 7] Process group watchdog thread terminated with exception: [Rank 7] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=152896, OpType=_REDUCE_SCATTER_BASE, NumelIn=67108864, NumelOut=8388608, Timeout(ms)=600000) ran for 600092 milliseconds before timing out.
[default7]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
[default7]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fbd45bb9897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default7]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7fbd46e92c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7fbd46e97a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7fbd46e98dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:frame #4: <unknown function> + 0xd3e95 (0x7fbd92931e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default7]:frame #5: <unknown function> + 0x8609 (0x7fbd97978609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default7]:frame #6: clone + 0x43 (0x7fbd97743353 in /lib/x86_64-linux-gnu/libc.so.6)
[default7]:
[default7]:terminate called after throwing an instance of 'c10::DistBackendError'
[default7]: what(): [PG 2 Rank 7] Process group watchdog thread terminated with exception: [Rank 7] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=152896, OpType=_REDUCE_SCATTER_BASE, NumelIn=67108864, NumelOut=8388608, Timeout(ms)=600000) ran for 600092 milliseconds before timing out.
[default7]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
[default7]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fbd45bb9897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default7]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7fbd46e92c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7fbd46e97a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7fbd46e98dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:frame #4: <unknown function> + 0xd3e95 (0x7fbd92931e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default7]:frame #5: <unknown function> + 0x8609 (0x7fbd97978609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default7]:frame #6: clone + 0x43 (0x7fbd97743353 in /lib/x86_64-linux-gnu/libc.so.6)
[default7]:
[default7]:Exception raised from ncclCommWatchdog at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1418 (most recent call first):
[default7]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fbd45bb9897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default7]:frame #1: <unknown function> + 0xe32119 (0x7fbd46b1c119 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:frame #2: <unknown function> + 0xd3e95 (0x7fbd92931e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default7]:frame #3: <unknown function> + 0x8609 (0x7fbd97978609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default7]:frame #4: clone + 0x43 (0x7fbd97743353 in /lib/x86_64-linux-gnu/libc.so.6)
[default7]:
W0703 22:52:01.074000 140093500766016 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 233048 closing signal SIGTERM
E0703 22:52:04.493000 140093500766016 torch/distributed/elastic/multiprocessing/api.py:826] failed (exitcode: -6) local_rank: 1 (pid: 233049) of binary: /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10
Traceback (most recent call last):
File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/torchrun", line 8, in <module>
sys.exit(main())
File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 347, in wrapper
return f(*args, **kwargs)
File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 879, in main
run(args)
File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 870, in run
elastic_launch(
File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 132, in __call__
return launch_agent(self._config, self._entrypoint, list(args))
File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 263, in launch_agent
raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
============================================================
/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py FAILED
------------------------------------------------------------
Failures:
[1]:
time : 2024-07-03_22:52:01
host : ip-26-0-174-36.ec2.internal
rank : 2 (local_rank: 2)
exitcode : -6 (pid: 233050)
error_file: <N/A>
traceback : Signal 6 (SIGABRT) received by PID 233050
[2]:
time : 2024-07-03_22:52:01
host : ip-26-0-174-36.ec2.internal
rank : 3 (local_rank: 3)
exitcode : -6 (pid: 233051)
error_file: <N/A>
traceback : Signal 6 (SIGABRT) received by PID 233051
[3]:
time : 2024-07-03_22:52:01
host : ip-26-0-174-36.ec2.internal
rank : 4 (local_rank: 4)
exitcode : -6 (pid: 233052)
error_file: <N/A>
traceback : Signal 6 (SIGABRT) received by PID 233052
[4]:
time : 2024-07-03_22:52:01
host : ip-26-0-174-36.ec2.internal
rank : 5 (local_rank: 5)
exitcode : -6 (pid: 233053)
error_file: <N/A>
traceback : Signal 6 (SIGABRT) received by PID 233053
[5]:
time : 2024-07-03_22:52:01
host : ip-26-0-174-36.ec2.internal
rank : 6 (local_rank: 6)
exitcode : -6 (pid: 233054)
error_file: <N/A>
traceback : Signal 6 (SIGABRT) received by PID 233054
[6]:
time : 2024-07-03_22:52:01
host : ip-26-0-174-36.ec2.internal
rank : 7 (local_rank: 7)
exitcode : -6 (pid: 233055)
error_file: <N/A>
traceback : Signal 6 (SIGABRT) received by PID 233055
------------------------------------------------------------
Root Cause (first observed failure):
[0]:
time : 2024-07-03_22:52:01
host : ip-26-0-174-36.ec2.internal
rank : 1 (local_rank: 1)
exitcode : -6 (pid: 233049)
error_file: <N/A>
traceback : Signal 6 (SIGABRT) received by PID 233049
============================================================
srun: error: ip-26-0-174-36: task 0: Exited with exit code 1
Consider using `hf_transfer` for faster uploads. This solution comes with some limitations. See https://huggingface.co/docs/huggingface_hub/hf_transfer for more details.
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[02:55<05:16, 38.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 33%|β–ˆβ–ˆβ–ˆβ–Ž | 5.92G/17.9G [02:55<04:59, 40.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 33%|β–ˆβ–ˆβ–ˆβ–Ž | 5.94G/17.9G [02:56<05:57, 33.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 33%|β–ˆβ–ˆβ–ˆβ–Ž | 5.96G/17.9G [02:57<05:35, 35.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 33%|β–ˆβ–ˆβ–ˆβ–Ž | 5.98G/17.9G [02:58<09:01, 22.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 33%|β–ˆβ–ˆβ–ˆβ–Ž | 5.99G/17.9G [02:58<07:15, 27.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 34%|β–ˆβ–ˆβ–ˆβ–Ž | 6.01G/17.9G [02:59<06:25, 30.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 34%|β–ˆβ–ˆβ–ˆβ–Ž | 6.03G/17.9G [02:59<05:57, 33.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 34%|β–ˆβ–ˆβ–ˆβ–Ž | 6.05G/17.9G [03:00<05:15, 37.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 34%|β–ˆβ–ˆβ–ˆβ– | 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ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 36%|β–ˆβ–ˆβ–ˆβ–Œ | 6.39G/17.9G [03:09<06:01, 32.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 36%|β–ˆβ–ˆβ–ˆβ–Œ | 6.41G/17.9G [03:09<05:31, 34.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 36%|β–ˆβ–ˆβ–ˆβ–Œ | 6.42G/17.9G [03:09<04:45, 40.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 36%|β–ˆβ–ˆβ–ˆβ–Œ | 6.44G/17.9G [03:10<05:16, 36.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 36%|β–ˆβ–ˆβ–ˆβ–Œ | 6.46G/17.9G [03:11<05:44, 33.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 36%|β–ˆβ–ˆβ–ˆβ–Œ | 6.48G/17.9G [03:11<04:48, 39.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 36%|β–ˆβ–ˆβ–ˆβ–Œ | 6.50G/17.9G [03:11<04:14, 44.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 36%|β–ˆβ–ˆβ–ˆβ–‹ | 6.51G/17.9G [03:12<04:19, 44.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 36%|β–ˆβ–ˆβ–ˆβ–‹ | 6.53G/17.9G [03:12<04:02, 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ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 7.18G/17.9G [03:31<04:42, 38.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 7.20G/17.9G [03:31<04:09, 43.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 7.21G/17.9G [03:31<03:43, 48.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 7.23G/17.9G [03:32<04:19, 41.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 7.25G/17.9G [03:32<04:01, 44.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 41%|β–ˆβ–ˆβ–ˆβ–ˆ | 7.27G/17.9G [03:33<03:41, 48.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 41%|β–ˆβ–ˆβ–ˆβ–ˆ | 7.29G/17.9G [03:33<03:39, 48.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 41%|β–ˆβ–ˆβ–ˆβ–ˆ | 7.30G/17.9G [03:33<03:31, 50.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 41%|β–ˆβ–ˆβ–ˆβ–ˆ | 7.32G/17.9G [03:34<04:43, 37.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 41%|β–ˆβ–ˆβ–ˆβ–ˆ | 7.34G/17.9G [03:34<04:14, 41.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 41%|β–ˆβ–ˆβ–ˆβ–ˆ | 7.36G/17.9G [03:35<05:09, 34.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 41%|β–ˆβ–ˆβ–ˆβ–ˆ | 7.38G/17.9G [03:35<04:40, 37.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 41%|β–ˆβ–ˆβ–ˆβ–ˆ | 7.39G/17.9G [03:36<04:06, 42.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 41%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 7.41G/17.9G [03:36<03:50, 45.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 41%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 7.43G/17.9G [03:37<03:57, 44.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 7.45G/17.9G [03:37<03:34, 49.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 7.47G/17.9G [03:38<04:54, 35.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 7.48G/17.9G [03:38<04:17, 40.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 7.50G/17.9G [03:39<05:49, 29.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 7.52G/17.9G [03:40<08:39, 20.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 7.54G/17.9G [03:41<06:57, 24.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 7.55G/17.9G [03:41<05:48, 29.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 7.57G/17.9G [03:41<04:51, 35.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 7.59G/17.9G [03:42<05:00, 34.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 7.61G/17.9G [03:43<06:54, 24.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 7.63G/17.9G [03:44<06:09, 27.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 7.64G/17.9G [03:44<05:39, 30.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 7.66G/17.9G [03:44<04:50, 35.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 7.68G/17.9G [03:45<04:25, 38.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 7.70G/17.9G [03:45<04:44, 36.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 7.72G/17.9G [03:46<05:42, 29.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 7.73G/17.9G [03:47<05:05, 33.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 7.75G/17.9G [03:47<04:06, 41.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 7.77G/17.9G [03:47<04:46, 35.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 7.79G/17.9G [03:48<04:15, 39.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 44%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 7.81G/17.9G [03:48<03:46, 44.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 44%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 7.82G/17.9G [03:49<04:02, 41.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 44%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 7.84G/17.9G [03:49<04:04, 41.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 7.86G/17.9G [03:50<04:33, 36.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 7.88G/17.9G [03:50<04:58, 33.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 7.90G/17.9G [03:51<06:32, 25.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 7.91G/17.9G [03:52<05:21, 31.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 7.93G/17.9G [03:52<04:25, 37.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 7.95G/17.9G [03:52<03:46, 44.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 7.97G/17.9G [03:53<04:00, 41.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 45%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 7.99G/17.9G [03:53<04:21, 38.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 45%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 8.00G/17.9G [03:54<05:11, 31.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 45%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 8.02G/17.9G [03:54<04:27, 37.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 45%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 8.04G/17.9G [03:54<03:48, 43.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 45%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 8.06G/17.9G [03:55<03:34, 46.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 8.08G/17.9G [03:55<03:47, 43.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 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ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 8.25G/17.9G [03:59<03:34, 45.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 8.27G/17.9G [04:00<03:19, 48.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 8.29G/17.9G [04:00<03:09, 50.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8.31G/17.9G [04:00<03:16, 49.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8.33G/17.9G [04:01<03:28, 46.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8.34G/17.9G [04:02<04:32, 35.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8.36G/17.9G [04:03<06:37, 24.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8.38G/17.9G [04:03<05:40, 28.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8.40G/17.9G [04:04<04:39, 34.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8.42G/17.9G [04:04<05:24, 29.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8.43G/17.9G [04:05<05:58, 26.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8.45G/17.9G [04:06<05:48, 27.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8.47G/17.9G [04:06<05:22, 29.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8.49G/17.9G [04:07<06:26, 24.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8.51G/17.9G [04:08<05:26, 28.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 8.52G/17.9G [04:08<04:54, 32.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 8.54G/17.9G [04:08<04:17, 36.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 8.56G/17.9G [04:09<03:53, 40.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 8.58G/17.9G [04:09<03:37, 43.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 8.60G/17.9G [04:10<03:57, 39.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 8.61G/17.9G [04:10<03:38, 42.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 8.63G/17.9G [04:10<03:22, 45.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 8.65G/17.9G [04:11<03:39, 42.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 8.67G/17.9G [04:11<03:33, 43.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 8.69G/17.9G [04:12<04:06, 37.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 8.70G/17.9G [04:12<03:57, 39.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 8.72G/17.9G [04:13<03:49, 40.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 8.74G/17.9G [04:13<03:30, 43.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8.76G/17.9G [04:13<03:07, 48.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8.77G/17.9G [04:14<03:03, 50.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8.79G/17.9G [04:14<02:46, 54.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8.81G/17.9G [04:15<04:46, 31.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8.83G/17.9G [04:15<04:09, 36.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8.85G/17.9G [04:16<03:51, 39.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8.86G/17.9G [04:16<03:28, 43.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8.88G/17.9G [04:16<03:04, 49.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8.90G/17.9G [04:16<02:49, 53.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8.92G/17.9G [04:17<02:55, 51.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8.94G/17.9G [04:17<02:53, 52.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8.95G/17.9G [04:17<02:36, 57.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 8.97G/17.9G [04:18<02:19, 64.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 8.99G/17.9G [04:18<02:22, 62.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 9.01G/17.9G [04:19<03:18, 45.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 9.03G/17.9G [04:20<04:35, 32.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 9.04G/17.9G [04:20<04:55, 30.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 9.06G/17.9G [04:21<04:18, 34.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 9.08G/17.9G [04:21<03:51, 38.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 9.10G/17.9G [04:21<03:28, 42.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 9.12G/17.9G [04:21<03:04, 47.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 9.13G/17.9G [04:22<03:14, 45.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 9.15G/17.9G [04:22<02:49, 51.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 9.17G/17.9G [04:23<02:48, 52.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 9.19G/17.9G [04:23<02:42, 53.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.21G/17.9G [04:23<02:33, 57.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.22G/17.9G [04:23<02:43, 53.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.24G/17.9G [04:24<02:34, 56.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.26G/17.9G [04:24<02:30, 57.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.28G/17.9G [04:24<02:29, 58.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.30G/17.9G [04:25<03:20, 43.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.31G/17.9G [04:25<03:01, 47.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.33G/17.9G [04:26<02:50, 50.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.35G/17.9G [04:26<02:50, 50.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.37G/17.9G [04:26<02:59, 47.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.39G/17.9G [04:27<02:46, 51.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.40G/17.9G [04:27<03:00, 47.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 9.42G/17.9G [04:28<03:45, 37.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 9.44G/17.9G [04:28<03:26, 41.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 9.46G/17.9G [04:28<03:02, 46.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 9.47G/17.9G [04:29<02:52, 49.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 9.49G/17.9G [04:30<03:59, 35.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 9.51G/17.9G [04:30<03:50, 36.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 9.53G/17.9G [04:31<04:21, 32.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 9.55G/17.9G [04:31<03:32, 39.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 9.56G/17.9G [04:32<04:07, 33.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 9.58G/17.9G [04:32<03:43, 37.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 9.60G/17.9G [04:32<03:13, 43.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 9.62G/17.9G [04:33<03:05, 44.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 9.64G/17.9G [04:33<03:00, 46.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.65G/17.9G [04:33<02:41, 51.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.67G/17.9G [04:34<02:33, 53.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.69G/17.9G [04:34<03:12, 42.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.71G/17.9G [04:35<02:58, 46.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.73G/17.9G [04:35<02:41, 50.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.74G/17.9G [04:35<02:35, 52.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.76G/17.9G [04:35<02:27, 55.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.78G/17.9G [04:36<02:21, 57.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.80G/17.9G [04:37<04:21, 31.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.82G/17.9G [04:38<05:14, 25.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.83G/17.9G [04:38<04:16, 31.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9.85G/17.9G [04:38<03:51, 35.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 9.87G/17.9G [04:39<03:21, 40.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 9.89G/17.9G [04:39<02:59, 45.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 9.91G/17.9G [04:40<03:07, 42.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 9.92G/17.9G [04:40<03:02, 43.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 9.94G/17.9G [04:41<03:29, 38.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 9.96G/17.9G [04:41<03:00, 44.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 9.98G/17.9G [04:41<02:41, 49.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 10.0G/17.9G [04:41<02:40, 49.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 10.0G/17.9G [04:42<03:31, 37.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 10.0G/17.9G [04:43<03:45, 35.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 10.0G/17.9G [04:43<03:19, 39.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 10.1G/17.9G [04:44<03:20, 39.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 10.1G/17.9G [04:44<03:11, 41.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 10.1G/17.9G [04:44<03:20, 39.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 10.1G/17.9G [04:45<02:57, 44.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 10.1G/17.9G [04:45<03:27, 37.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 10.2G/17.9G [04:46<02:57, 43.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 10.2G/17.9G [04:46<02:35, 50.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 10.2G/17.9G [04:46<02:40, 48.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 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ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 11.5G/17.9G [05:22<02:22, 44.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 11.6G/17.9G [05:22<02:10, 49.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 11.6G/17.9G [05:22<02:02, 52.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 11.6G/17.9G [05:22<01:54, 55.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 11.6G/17.9G [05:23<02:27, 43.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 11.6G/17.9G [05:24<03:09, 33.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 11.6G/17.9G [05:24<02:43, 38.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 11.7G/17.9G [05:25<02:24, 43.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 11.7G/17.9G [05:25<02:11, 47.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 11.7G/17.9G [05:27<05:23, 19.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 11.7G/17.9G [05:27<04:18, 24.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 11.7G/17.9G [05:28<04:23, 23.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 11.8G/17.9G [05:29<04:18, 24.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 11.8G/17.9G [05:29<03:25, 30.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 11.8G/17.9G [05:29<02:48, 36.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 11.8G/17.9G [05:30<02:39, 38.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 11.8G/17.9G [05:30<02:17, 44.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 11.8G/17.9G [05:30<02:02, 49.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 11.9G/17.9G [05:31<01:50, 55.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 11.9G/17.9G [05:31<01:56, 52.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 11.9G/17.9G [05:31<01:49, 55.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 11.9G/17.9G [05:32<01:50, 54.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 11.9G/17.9G [05:33<02:59, 33.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 12.0G/17.9G [05:33<02:32, 39.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 12.0G/17.9G [05:34<03:50, 26.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 12.0G/17.9G [05:34<03:07, 31.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 12.0G/17.9G [05:35<02:39, 37.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 12.0G/17.9G [05:35<02:32, 38.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 12.0G/17.9G [05:36<02:57, 33.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 12.1G/17.9G [05:37<03:25, 28.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 12.1G/17.9G [05:37<02:45, 35.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 12.1G/17.9G [05:38<03:29, 27.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 12.1G/17.9G [05:38<02:55, 33.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 12.1G/17.9G [05:38<02:30, 38.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 12.1G/17.9G [05:39<02:11, 44.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 12.2G/17.9G [05:39<02:01, 47.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 12.2G/17.9G [05:40<02:44, 34.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 12.2G/17.9G [05:40<02:41, 35.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 12.2G/17.9G [05:41<02:58, 32.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 12.2G/17.9G [05:41<02:38, 36.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 12.3G/17.9G [05:42<02:33, 36.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 12.3G/17.9G [05:42<02:18, 41.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 12.3G/17.9G [05:43<02:33, 36.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 12.3G/17.9G [05:43<02:15, 41.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 12.3G/17.9G [05:43<01:55, 48.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 12.3G/17.9G [05:44<02:21, 39.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 12.4G/17.9G [05:44<02:09, 43.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 12.4G/17.9G [05:44<01:44, 53.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 12.4G/17.9G [05:45<02:14, 41.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 12.4G/17.9G [05:46<05:02, 18.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 12.4G/17.9G [05:47<03:48, 24.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 12.4G/17.9G [05:47<03:28, 26.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 12.5G/17.9G [05:48<03:54, 23.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 12.5G/17.9G [05:48<03:02, 30.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 12.5G/17.9G [05:49<02:35, 35.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 12.5G/17.9G [05:49<02:09, 42.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 12.5G/17.9G [05:49<02:03, 43.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 12.5G/17.9G [05:50<02:02, 44.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 12.6G/17.9G [05:50<01:57, 45.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 12.6G/17.9G [05:50<01:49, 48.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 12.6G/17.9G [05:51<01:46, 50.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 12.6G/17.9G [05:51<01:58, 44.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 12.6G/17.9G [05:52<01:53, 46.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 12.7G/17.9G [05:52<01:38, 53.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 12.7G/17.9G [05:52<01:36, 54.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 12.7G/17.9G [05:53<01:41, 51.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 12.7G/17.9G [05:53<01:33, 55.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 12.7G/17.9G [05:53<01:51, 46.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 12.7G/17.9G [05:54<02:07, 40.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 12.8G/17.9G [05:55<02:41, 32.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 12.8G/17.9G [05:55<02:13, 38.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 12.8G/17.9G [05:55<01:54, 45.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 12.8G/17.9G [05:56<02:25, 35.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 12.8G/17.9G [05:56<02:12, 38.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 12.8G/17.9G [05:57<01:55, 44.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 12.9G/17.9G [05:57<02:08, 39.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 12.9G/17.9G [05:58<01:59, 42.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 12.9G/17.9G [05:58<01:55, 43.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 12.9G/17.9G [05:58<01:37, 51.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 12.9G/17.9G [05:59<01:52, 44.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 13.0G/17.9G [05:59<01:43, 48.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 13.0G/17.9G [05:59<01:28, 55.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 13.0G/17.9G [06:00<01:59, 41.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 13.0G/17.9G [06:00<01:53, 43.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 13.0G/17.9G [06:01<02:07, 38.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 13.0G/17.9G [06:01<02:05, 39.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 13.1G/17.9G [06:01<01:48, 44.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 13.1G/17.9G [06:02<02:01, 40.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 13.1G/17.9G [06:03<02:32, 31.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 13.1G/17.9G [06:03<02:22, 33.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 13.1G/17.9G [06:04<02:27, 32.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 13.2G/17.9G [06:04<02:05, 38.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 13.2G/17.9G [06:04<01:40, 47.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 13.2G/17.9G [06:05<02:02, 39.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 13.2G/17.9G [06:06<02:08, 36.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 13.2G/17.9G [06:06<02:07, 37.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 13.2G/17.9G [06:07<02:28, 31.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 13.3G/17.9G [06:07<02:16, 34.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 13.3G/17.9G [06:08<02:02, 37.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 13.3G/17.9G [06:08<02:16, 34.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 13.3G/17.9G [06:09<02:02, 37.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 13.3G/17.9G [06:09<02:13, 34.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 13.4G/17.9G [06:09<01:53, 40.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 13.4G/17.9G [06:10<02:17, 33.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 13.4G/17.9G [06:15<08:12, 9.25MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 13.4G/17.9G [06:16<06:40, 11.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 13.4G/17.9G [06:17<06:09, 12.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 13.4G/17.9G [06:18<04:45, 15.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 13.5G/17.9G [06:18<03:39, 20.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 13.5G/17.9G [06:19<03:34, 20.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 13.5G/17.9G [06:19<02:52, 25.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 13.5G/17.9G [06:20<02:58, 24.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 13.5G/17.9G [06:21<03:00, 24.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 13.5G/17.9G [06:21<02:39, 27.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 13.6G/17.9G [06:22<02:36, 28.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 13.6G/17.9G [06:22<02:16, 31.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 13.6G/17.9G [06:23<02:00, 35.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 13.6G/17.9G [06:23<01:41, 42.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 13.6G/17.9G [06:23<01:42, 42.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 13.7G/17.9G [06:24<02:34, 27.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 13.7G/17.9G [06:25<02:17, 31.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 13.7G/17.9G [06:25<01:55, 36.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 13.7G/17.9G [06:26<02:05, 33.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 13.7G/17.9G [06:26<01:51, 37.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 13.7G/17.9G [06:26<01:37, 43.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 13.8G/17.9G [06:27<01:38, 42.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 13.8G/17.9G [06:27<01:25, 48.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 13.8G/17.9G [06:27<01:21, 50.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 13.8G/17.9G [06:28<01:18, 52.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 13.8G/17.9G [06:28<01:32, 44.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 13.9G/17.9G [06:28<01:23, 49.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 13.9G/17.9G [06:29<01:18, 51.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 13.9G/17.9G [06:29<01:20, 50.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 13.9G/17.9G [06:29<01:13, 54.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 13.9G/17.9G [06:30<01:45, 38.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 13.9G/17.9G [06:31<01:38, 40.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 14.0G/17.9G [06:31<01:28, 44.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 14.0G/17.9G [06:31<01:18, 50.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 14.0G/17.9G [06:31<01:12, 54.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 14.0G/17.9G [06:32<01:06, 59.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 14.0G/17.9G [06:32<01:38, 39.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 14.1G/17.9G [06:33<01:33, 41.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 14.1G/17.9G [06:33<01:29, 43.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 14.1G/17.9G [06:33<01:21, 47.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 14.1G/17.9G [06:34<01:15, 50.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 14.1G/17.9G [06:34<01:11, 53.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 14.1G/17.9G [06:35<01:32, 40.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 14.2G/17.9G [06:35<01:23, 45.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 14.2G/17.9G [06:35<01:19, 47.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 14.2G/17.9G [06:36<01:18, 47.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 14.2G/17.9G [06:36<01:18, 47.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 14.2G/17.9G [06:37<01:49, 33.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 14.2G/17.9G [06:37<01:31, 40.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 14.3G/17.9G [06:38<01:22, 44.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 14.3G/17.9G [06:38<01:29, 40.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 14.3G/17.9G [06:39<01:39, 36.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 14.3G/17.9G [06:39<01:38, 36.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 14.3G/17.9G [06:39<01:24, 42.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 14.4G/17.9G [06:41<02:12, 27.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 14.4G/17.9G [06:41<01:51, 32.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 14.4G/17.9G [06:42<02:07, 28.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 14.4G/17.9G [06:42<02:04, 28.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 14.4G/17.9G [06:43<01:40, 34.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 14.4G/17.9G [06:43<01:29, 39.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 14.5G/17.9G [06:43<01:21, 42.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 14.5G/17.9G [06:44<01:13, 47.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 14.5G/17.9G [06:44<01:11, 48.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 14.5G/17.9G [06:45<01:32, 37.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 14.5G/17.9G [06:45<01:44, 32.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 14.6G/17.9G [06:46<02:03, 27.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 14.6G/17.9G [06:47<01:46, 31.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 14.6G/17.9G [06:49<03:40, 15.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 14.6G/17.9G [06:50<02:48, 19.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 14.6G/17.9G [06:50<02:14, 24.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 14.6G/17.9G [06:53<04:05, 13.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 14.7G/17.9G [06:53<03:04, 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92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 16.6G/17.9G [07:57<00:41, 32.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 16.6G/17.9G [07:57<00:36, 37.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 16.6G/17.9G [07:58<00:40, 32.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 16.6G/17.9G [07:58<00:35, 36.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 16.7G/17.9G [08:00<01:14, 17.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 16.7G/17.9G [08:01<00:57, 22.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 16.7G/17.9G [08:01<00:45, 27.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 16.7G/17.9G [08:02<00:40, 30.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 16.7G/17.9G [08:02<00:42, 28.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 16.7G/17.9G [08:03<00:36, 32.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 16.8G/17.9G [08:03<00:32, 36.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 16.8G/17.9G [08:03<00:27, 41.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 16.8G/17.9G [08:04<00:26, 43.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 16.8G/17.9G [08:04<00:25, 44.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 16.8G/17.9G [08:05<00:32, 34.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 16.9G/17.9G [08:05<00:31, 34.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 16.9G/17.9G [08:06<00:28, 38.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 16.9G/17.9G [08:06<00:27, 39.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 16.9G/17.9G [08:07<00:29, 34.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 16.9G/17.9G [08:07<00:25, 39.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 16.9G/17.9G [08:07<00:23, 43.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 17.0G/17.9G [08:08<00:21, 45.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 17.0G/17.9G [08:08<00:18, 51.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 17.0G/17.9G [08:08<00:18, 50.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 17.0G/17.9G [08:09<00:15, 59.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 17.0G/17.9G [08:09<00:17, 52.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 17.0G/17.9G [08:09<00:18, 49.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 17.1G/17.9G [08:10<00:16, 54.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 17.1G/17.9G [08:10<00:15, 54.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 17.1G/17.9G [08:10<00:15, 55.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 17.1G/17.9G [08:11<00:16, 50.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 17.1G/17.9G [08:11<00:14, 54.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 17.2G/17.9G [08:11<00:13, 58.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 17.2G/17.9G [08:12<00:24, 31.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 17.2G/17.9G [08:13<00:21, 35.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 17.2G/17.9G [08:13<00:18, 40.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 17.2G/17.9G [08:13<00:15, 44.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 17.2G/17.9G [08:14<00:14, 47.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 17.3G/17.9G [08:16<00:32, 21.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 17.3G/17.9G [08:16<00:27, 23.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 17.3G/17.9G [08:17<00:26, 24.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 17.3G/17.9G [08:18<00:29, 21.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 17.3G/17.9G [08:18<00:23, 26.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 17.3G/17.9G [08:19<00:30, 20.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 17.4G/17.9G [08:19<00:26, 22.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 17.4G/17.9G [08:20<00:23, 24.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 17.4G/17.9G [08:21<00:21, 26.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 17.4G/17.9G [08:22<00:25, 21.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 17.4G/17.9G [08:22<00:19, 26.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 17.4G/17.9G [08:22<00:16, 31.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 17.5G/17.9G [08:23<00:13, 36.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 17.5G/17.9G [08:23<00:11, 42.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 17.5G/17.9G [08:23<00:10, 44.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 17.5G/17.9G [08:24<00:10, 41.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 17.5G/17.9G [08:24<00:10, 40.4MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 17.5G/17.9G [08:25<00:14, 27.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 17.6G/17.9G [08:26<00:13, 28.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 17.6G/17.9G [08:26<00:11, 32.1MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 17.6G/17.9G [08:27<00:11, 29.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 17.6G/17.9G [08:27<00:09, 34.9MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 17.6G/17.9G [08:28<00:07, 39.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 17.7G/17.9G [08:28<00:06, 45.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 17.7G/17.9G [08:28<00:05, 48.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 17.7G/17.9G [08:30<00:08, 28.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 17.7G/17.9G [08:30<00:06, 35.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 17.7G/17.9G [08:31<00:09, 23.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 17.7G/17.9G [08:31<00:06, 28.5MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 17.8G/17.9G [08:32<00:05, 33.7MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 17.8G/17.9G [08:32<00:04, 38.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 17.8G/17.9G [08:32<00:03, 43.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 17.8G/17.9G [08:33<00:02, 42.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 17.8G/17.9G [08:33<00:02, 43.0MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 17.9G/17.9G [08:34<00:02, 38.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 17.9G/17.9G [08:35<00:02, 33.2MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 17.9G/17.9G [08:35<00:01, 38.3MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 17.9G/17.9G [08:35<00:00, 42.8MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 17.9G/17.9G [08:36<00:00, 35.6MB/s] ip-26-0-174-36_233048.1720046995722150451.pt.trace.json: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 17.9G/17.9G [08:36<00:00, 34.7MB/s]