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Upload llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1

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llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1/bench.slurm ADDED
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+ #!/bin/bash
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+
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+ #SBATCH --job-name=bench_cluster
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+ #SBATCH --time=02:00:00
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+ #SBATCH --partition=hopper-prod
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+ #SBATCH --nodes=1
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+ #SBATCH --gres=gpu:8
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+ #SBATCH --qos=normal
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+ #SBATCH --ntasks-per-node=1
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+ #SBATCH --cpus-per-task=96
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+ #SBATCH --exclusive
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+ #SBATCH --output=/fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1/log.out
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+ #SBATCH --error=/fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1/log.out
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+
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+ # Function to update status based on squeue output
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+ update_status() {
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+ job_id=$1
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+ status_file=$2
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+ # For unknown reasons, it doenst update status for pending. It only works for running
20
+ while true; do
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+ job_status=$(squeue --job $job_id --noheader --format=%T)
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+ echo "Job status: $job_status"
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+ if [ -z "$job_status" ]; then
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+ # Job has finished or is not found
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+ break
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+ elif [ "$job_status" = "RUNNING" ]; then
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+ printf "running" > $status_file
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+ break
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+ fi
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+ sleep 10
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+ done
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+ }
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+
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+ # Misc initializations.
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+ echo "========================"
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+ echo "START TIME: $(date)"
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+ source /fsx/ferdinandmom/miniforge3/etc/profile.d/conda.sh
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+ conda activate /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster
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+ echo python3 version = $(python3 --version)
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+ echo "========================"
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+
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+ # Slurm stuff
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+ export HOSTNAMES=$(scontrol show hostnames "$SLURM_JOB_NODELIST")
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+ export MASTER_ADDR=$(scontrol show hostnames "$SLURM_JOB_NODELIST" | head -n 1)
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+ export MASTER_PORT=$((1024 + RANDOM % 64511))
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+
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+ export TMPDIR=/scratch
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+ export HF_DATASETS_CACHE="/admin/home/ferdinand_mom/.cache"
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+ export CUBLAS_WORKSPACE_CONFIG=":4096:8"
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+ export CUDA_DEVICE_MAX_CONNECTIONS="1"
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+
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+ huggingface-cli login --token $HUGGINGFACE_TOKEN
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+
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+
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+ NANOTRON_REPO="/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron"
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+ CMD="$NANOTRON_REPO/run_train.py --config-file /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1/config.yaml"
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+
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+ LAUNCHER="torchrun \
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+ --nproc_per_node 8 \
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+ --nnodes 1 \
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+ --rdzv_endpoint ${MASTER_ADDR}:${MASTER_PORT} \
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+ --rdzv_backend c10d \
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+ --max_restarts 0 \
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+ --tee 3 \
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+ --node_rank ${SLURM_PROCID}"
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+
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+ # Checkout the bench_cluster branch
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+ cd $NANOTRON_REPO
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+ git checkout bench_cluster
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+ cd ..
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+ # Get the current job ID
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+ job_id=${SLURM_JOB_ID}
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+
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+ # Update status to "pending" or "running" in the background
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+ update_status $job_id /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1/status.txt &
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+
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+ # Run the main command
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+ srun -u $LAUNCHER $CMD
79
+ exit_status=$?
80
+
81
+ # Update status based on the exit status of `srun`
82
+ if [ $exit_status -eq 0 ]; then
83
+ printf "completed" > /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1/status.txt
84
+ else
85
+ if grep -q "OutOfMemoryError" /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1/log.out; then
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+ printf "oom" > /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1/status.txt
87
+ elif grep -q " CUDA error: an illegal memory access" /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1/log.out; then
88
+ printf "oom" > /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1/status.txt
89
+ elif grep -q "Timeout at NCCL" /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1/log.out; then
90
+ printf "timeout" > /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1/status.txt
91
+ else
92
+ printf "fail" > /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1/status.txt
93
+ fi
94
+ fi
95
+
96
+ # Run the report script if the job completed successfully
97
+ if [ $exit_status -eq 0 ]; then
98
+ python /fsx/ferdinandmom/ferdinand-hf/bench_cluster/main.py report --inp_dir /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1 --is_logs
99
+ python /fsx/ferdinandmom/ferdinand-hf/bench_cluster/main.py report --inp_dir /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1 --is_profiler
100
+ fi
101
+
102
+
103
+ # Push to hub the folder using huggingface_cli
104
+ huggingface-cli upload nanotron/bench_cluster /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1 llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1 --commit-message "Upload llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1"
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+
106
+ # Verify the upload
107
+ if [ $? -eq 0 ]; then
108
+ echo "Uploading to Huggingface Hub successful"
109
+ else
110
+ echo "Failed to upload to Huggingface Hub"
111
+ fi
llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1/config.yaml ADDED
@@ -0,0 +1,90 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ general:
2
+ project: bench_cluster
3
+ seed: 42
4
+ model:
5
+ ddp_bucket_cap_mb: 25
6
+ dtype: bfloat16
7
+ init_method:
8
+ std: 0.025
9
+ make_vocab_size_divisible_by: 1
10
+ model_config:
11
+ bos_token_id: 1
12
+ eos_token_id: 2
13
+ hidden_act: silu
14
+ hidden_size: 2048
15
+ initializer_range: 0.02
16
+ intermediate_size: 4096
17
+ is_llama_config: true
18
+ max_position_embeddings: 4096
19
+ num_attention_heads: 32
20
+ num_hidden_layers: 24
21
+ num_key_value_heads: 32
22
+ pad_token_id: null
23
+ pretraining_tp: 1
24
+ rms_norm_eps: 1.0e-05
25
+ rope_scaling: null
26
+ rope_theta: 10000.0
27
+ tie_word_embeddings: true
28
+ use_cache: true
29
+ vocab_size: 50257
30
+ optimizer:
31
+ accumulate_grad_in_fp32: true
32
+ clip_grad: 1.0
33
+ learning_rate_scheduler:
34
+ learning_rate: 0.0001
35
+ lr_decay_style: linear
36
+ lr_warmup_style: linear
37
+ lr_warmup_steps: 1
38
+ min_decay_lr: 1.0e-05
39
+ optimizer_factory:
40
+ adam_beta1: 0.9
41
+ adam_beta2: 0.95
42
+ adam_eps: 1.0e-08
43
+ name: adamW
44
+ torch_adam_is_fused: true
45
+ weight_decay: 0.01
46
+ zero_stage: 1
47
+ parallelism:
48
+ dp: 1
49
+ expert_parallel_size: 1
50
+ pp: 1
51
+ pp_engine: 1f1b
52
+ tp: 8
53
+ tp_linear_async_communication: false
54
+ tp_mode: REDUCE_SCATTER
55
+ profiler:
56
+ profiler_export_path: /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1
57
+ tokenizer:
58
+ tokenizer_max_length: null
59
+ tokenizer_name_or_path: openai-community/gpt2
60
+ tokenizer_revision: null
61
+ data_stages:
62
+ - name: Training Stage
63
+ start_training_step: 1
64
+ data:
65
+ dataset:
66
+ dataset_overwrite_cache: false
67
+ dataset_processing_num_proc_per_process: 64
68
+ hf_dataset_config_name: null
69
+ hf_dataset_or_datasets: roneneldan/TinyStories
70
+ hf_dataset_splits: train
71
+ text_column_name: text
72
+ num_loading_workers: 0
73
+ seed: 42
74
+ lighteval: null
75
+ tokens:
76
+ train_steps: 20
77
+ val_check_interval: -1
78
+ batch_accumulation_per_replica: 1024
79
+ limit_test_batches: 0
80
+ limit_val_batches: 0
81
+ micro_batch_size: 1
82
+ sequence_length: 4096
83
+ logging:
84
+ iteration_step_info_interval: 1
85
+ log_level: info
86
+ log_level_replica: info
87
+ checkpoints:
88
+ checkpoint_interval: 100000
89
+ checkpoints_path: /dev/null
90
+ resume_checkpoint_path: null
llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1/log.out ADDED
@@ -0,0 +1,527 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ========================
2
+ START TIME: Wed Jul 3 21:22:46 UTC 2024
3
+ python3 version = Python 3.10.14
4
+ ========================
5
+ The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well.
6
+ Token is valid (permission: write).
7
+ Your token has been saved to /admin/home/ferdinand_mom/.cache/huggingface/token
8
+ Login successful
9
+ Already on 'bench_cluster'
10
+ M examples/config_tiny_llama.py
11
+ M examples/config_tiny_llama.yaml
12
+ M examples/train_tiny_llama.sh
13
+ M src/nanotron/models/llama.py
14
+ M src/nanotron/trainer.py
15
+ Your branch is up to date with 'origin/bench_cluster'.
16
+ Job status: RUNNING
17
+ W0703 21:22:53.680000 140614011090752 torch/distributed/run.py:757]
18
+ W0703 21:22:53.680000 140614011090752 torch/distributed/run.py:757] *****************************************
19
+ W0703 21:22:53.680000 140614011090752 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.
20
+ W0703 21:22:53.680000 140614011090752 torch/distributed/run.py:757] *****************************************
21
+ [default0]:07/03/2024 21:23:15 [WARNING|DP=0|PP=0|TP=0|ip-26-0-162-233]: [Vocab Size Padding] Padded vocab (size: 50257) with 7 dummy tokens (new size: 50264)
22
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: Config:
23
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: Config(general=GeneralArgs(project='bench_cluster',
24
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: run='%date_%jobid',
25
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: seed=42,
26
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: step=None,
27
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: consumed_train_samples=None,
28
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: benchmark_csv_path=None,
29
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: ignore_sanity_checks=True),
30
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: parallelism=ParallelismArgs(dp=1,
31
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: pp=1,
32
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: tp=8,
33
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: pp_engine=<nanotron.parallel.pipeline_parallel.engine.OneForwardOneBackwardPipelineEngine object at 0x7ff2f52b8820>,
34
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: tp_mode=<TensorParallelLinearMode.REDUCE_SCATTER: 2>,
35
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: tp_linear_async_communication=False,
36
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: expert_parallel_size=1),
37
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: model=ModelArgs(model_config=LlamaConfig(bos_token_id=1,
38
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: eos_token_id=2,
39
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: hidden_act='silu',
40
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: hidden_size=2048,
41
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: initializer_range=0.02,
42
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: intermediate_size=4096,
43
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: is_llama_config=True,
44
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: max_position_embeddings=4096,
45
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: num_attention_heads=32,
46
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: num_hidden_layers=24,
47
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: num_key_value_heads=32,
48
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: pad_token_id=None,
49
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: pretraining_tp=1,
50
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: rms_norm_eps=1e-05,
51
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: rope_scaling=None,
52
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: rope_theta=10000.0,
53
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: tie_word_embeddings=True,
54
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: use_cache=True,
55
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: vocab_size=50264),
56
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: init_method=RandomInit(std=0.025),
57
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: dtype=torch.bfloat16,
58
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: make_vocab_size_divisible_by=1,
59
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: ddp_bucket_cap_mb=25),
60
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: tokenizer=TokenizerArgs(tokenizer_name_or_path='openai-community/gpt2',
61
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: tokenizer_revision=None,
62
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: tokenizer_max_length=None),
63
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: checkpoints=CheckpointsArgs(checkpoints_path=Path('/dev/null'),
64
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: checkpoint_interval=100000,
65
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: save_initial_state=False,
66
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: resume_checkpoint_path=None,
67
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: checkpoints_path_is_shared_file_system=False),
68
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: logging=LoggingArgs(log_level='info',
69
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: log_level_replica='info',
70
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: iteration_step_info_interval=1),
71
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: tokens=TokensArgs(sequence_length=4096,
72
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: train_steps=20,
73
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: micro_batch_size=1,
74
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: batch_accumulation_per_replica=1024,
75
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: val_check_interval=-1,
76
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: limit_val_batches=0,
77
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: limit_test_batches=0),
78
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: optimizer=OptimizerArgs(optimizer_factory=AdamWOptimizerArgs(adam_eps=1e-08,
79
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: adam_beta1=0.9,
80
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: adam_beta2=0.95,
81
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: torch_adam_is_fused=True,
82
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: name='adamW'),
83
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: zero_stage=1,
84
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: weight_decay=0.01,
85
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: clip_grad=1.0,
86
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: accumulate_grad_in_fp32=True,
87
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: learning_rate_scheduler=LRSchedulerArgs(learning_rate=0.0001,
88
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: lr_warmup_steps=1,
89
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: lr_warmup_style='linear',
90
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: lr_decay_style='linear',
91
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: lr_decay_steps=19,
92
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: lr_decay_starting_step=None,
93
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: min_decay_lr=1e-05)),
94
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: data_stages=[DatasetStageArgs(name='Training Stage',
95
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: start_training_step=1,
96
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: data=DataArgs(dataset=PretrainDatasetsArgs(hf_dataset_or_datasets='roneneldan/TinyStories',
97
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: hf_dataset_splits='train',
98
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: hf_dataset_config_name=None,
99
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: dataset_processing_num_proc_per_process=64,
100
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: dataset_overwrite_cache=False,
101
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: text_column_name='text'),
102
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: seed=42,
103
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: num_loading_workers=0))],
104
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: profiler=ProfilerArgs(profiler_export_path=Path('/fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1')),
105
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: lighteval=None)
106
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: Model Config:
107
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: LlamaConfig(bos_token_id=1,
108
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: eos_token_id=2,
109
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: hidden_act='silu',
110
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: hidden_size=2048,
111
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: initializer_range=0.02,
112
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: intermediate_size=4096,
113
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: is_llama_config=True,
114
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: max_position_embeddings=4096,
115
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: num_attention_heads=32,
116
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: num_hidden_layers=24,
117
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: num_key_value_heads=32,
118
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: pad_token_id=None,
119
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: pretraining_tp=1,
120
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: rms_norm_eps=1e-05,
121
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: rope_scaling=None,
122
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: rope_theta=10000.0,
123
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: tie_word_embeddings=True,
124
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: use_cache=True,
125
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: vocab_size=50264)
126
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: Building model..
127
+ [default0]:07/03/2024 21:23:15 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: Setting PP block ranks...
128
+ [default4]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=4|ip-26-0-162-233]: Local number of parameters: 139M (264.73MiB)
129
+ [default4]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=4|ip-26-0-162-233]: [After model building] Memory usage: 290.76MiB. Peak allocated: 317.33MiB Peak reserved: 324.00MiB
130
+ [default4]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=4|ip-26-0-162-233]: No checkpoint path provided.
131
+ [default7]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=7|ip-26-0-162-233]: Local number of parameters: 139M (264.73MiB)
132
+ [default2]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=2|ip-26-0-162-233]: Local number of parameters: 139M (264.73MiB)
133
+ [default2]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=2|ip-26-0-162-233]: [After model building] Memory usage: 290.76MiB. Peak allocated: 317.33MiB Peak reserved: 324.00MiB
134
+ [default2]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=2|ip-26-0-162-233]: No checkpoint path provided.
135
+ [default7]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=7|ip-26-0-162-233]: [After model building] Memory usage: 290.76MiB. Peak allocated: 317.33MiB Peak reserved: 324.00MiB
136
+ [default7]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=7|ip-26-0-162-233]: No checkpoint path provided.
137
+ [default6]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=6|ip-26-0-162-233]: Local number of parameters: 139M (264.73MiB)
138
+ [default6]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=6|ip-26-0-162-233]: [After model building] Memory usage: 290.76MiB. Peak allocated: 317.33MiB Peak reserved: 324.00MiB
139
+ [default6]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=6|ip-26-0-162-233]: No checkpoint path provided.
140
+ [default0]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: Total number of parameters: 1.11G (2117.88MiB)
141
+ [default0]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: Local number of parameters: 139M (264.73MiB)
142
+ [default0]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: [After model building] Memory usage: 290.76MiB. Peak allocated: 317.33MiB Peak reserved: 324.00MiB
143
+ [default0]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: No checkpoint path provided.
144
+ [default0]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: Parametrizing model parameters using StandardParametrizator
145
+ [default0]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: [Optimizer Building] Using LearningRateForSP as learning rate
146
+ [default0]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: [ZeRO sharding] Size of optimizer params per rank:
147
+ [default0]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: [ZeRO sharding] DP Rank 0 has 139M out of 139M (100.00%) params' optimizer states
148
+ [default3]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=3|ip-26-0-162-233]: Local number of parameters: 139M (264.73MiB)
149
+ [default5]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=5|ip-26-0-162-233]: Local number of parameters: 139M (264.73MiB)
150
+ [default5]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=5|ip-26-0-162-233]: [After model building] Memory usage: 290.76MiB. Peak allocated: 317.33MiB Peak reserved: 324.00MiB
151
+ [default3]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=3|ip-26-0-162-233]: [After model building] Memory usage: 290.76MiB. Peak allocated: 317.33MiB Peak reserved: 324.00MiB
152
+ [default3]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=3|ip-26-0-162-233]: No checkpoint path provided.
153
+ [default5]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=5|ip-26-0-162-233]: No checkpoint path provided.
154
+ [default1]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=1|ip-26-0-162-233]: Local number of parameters: 139M (264.73MiB)
155
+ [default1]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=1|ip-26-0-162-233]: [After model building] Memory usage: 290.76MiB. Peak allocated: 317.33MiB Peak reserved: 324.00MiB
156
+ [default1]:07/03/2024 21:23:31 [INFO|DP=0|PP=0|TP=1|ip-26-0-162-233]: No checkpoint path provided.
157
+ [default0]:07/03/2024 21:23:33 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: [Training Plan] Stage Training Stage has 19 remaining training steps and has consumed 0 samples
158
+ [default0]:07/03/2024 21:23:33 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: Using `datasets` library
159
+ [default0]:07/03/2024 21:23:33 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: Loading tokenizer from openai-community/gpt2 and transformers/hf_hub versions ('4.41.2', '0.23.4')
160
+ [default0]:07/03/2024 21:23:33 [WARNING|DP=0|PP=0|TP=0|ip-26-0-162-233]: Repo card metadata block was not found. Setting CardData to empty.
161
+ [default0]:Repo card metadata block was not found. Setting CardData to empty.
162
+ [default0]:07/03/2024 21:23:36 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: [Training Plan] There are 1 training stages
163
+ [default0]:07/03/2024 21:23:36 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: [Stage Training Stage] start from step 1
164
+ [default0]:07/03/2024 21:23:36 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]:
165
+ [default0]:07/03/2024 21:23:36 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: [Start training] datetime: 2024-07-03 21:23:36.163052 | mbs: 1 | grad_accum: 1024 | global_batch_size: 1024 | sequence_length: 4096 | train_steps: 20 | start_iteration_step: 0 | consumed_train_samples: 0
166
+ [default0]:07/03/2024 21:23:36 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: Resuming training from stage Training Stage, it has trained for 0 samples and has 19 remaining train steps
167
+ [default0]:07/03/2024 21:23:36 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: Memory usage: 1350.75MiB. Peak allocated 1350.76MiB. Peak reserved: 1384.00MiB
168
+ [default4]:07/03/2024 21:23:36 [WARNING|DP=0|PP=0|TP=4|ip-26-0-162-233]: Repo card metadata block was not found. Setting CardData to empty.
169
+ [default4]:Repo card metadata block was not found. Setting CardData to empty.
170
+ [default2]:07/03/2024 21:23:36 [WARNING|DP=0|PP=0|TP=2|ip-26-0-162-233]: Repo card metadata block was not found. Setting CardData to empty.
171
+ [default6]:07/03/2024 21:23:36 [WARNING|DP=0|PP=0|TP=6|ip-26-0-162-233]: Repo card metadata block was not found. Setting CardData to empty.
172
+ [default3]:07/03/2024 21:23:36 [WARNING|DP=0|PP=0|TP=3|ip-26-0-162-233]: Repo card metadata block was not found. Setting CardData to empty.
173
+ [default1]:07/03/2024 21:23:36 [WARNING|DP=0|PP=0|TP=1|ip-26-0-162-233]: Repo card metadata block was not found. Setting CardData to empty.
174
+ [default5]:07/03/2024 21:23:36 [WARNING|DP=0|PP=0|TP=5|ip-26-0-162-233]: Repo card metadata block was not found. Setting CardData to empty.
175
+ [default5]:Repo card metadata block was not found. Setting CardData to empty.
176
+ [default2]:Repo card metadata block was not found. Setting CardData to empty.
177
+ [default3]:Repo card metadata block was not found. Setting CardData to empty.
178
+ [default1]:Repo card metadata block was not found. Setting CardData to empty.
179
+ [default6]:Repo card metadata block was not found. Setting CardData to empty.
180
+ [default7]:07/03/2024 21:23:36 [WARNING|DP=0|PP=0|TP=7|ip-26-0-162-233]: Repo card metadata block was not found. Setting CardData to empty.
181
+ [default7]:Repo card metadata block was not found. Setting CardData to empty.
182
+ [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.)
183
+ [default4]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
184
+ [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.)
185
+ [default2]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
186
+ [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.)
187
+ [default0]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
188
+ [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.)
189
+ [default5]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
190
+ [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.)
191
+ [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.)
192
+ [default3]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
193
+ [default1]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
194
+ [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.)
195
+ [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.)
196
+ [default6]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
197
+ [default7]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
198
+ [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
199
+ [default6]: warnings.warn(
200
+ [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
201
+ [default7]: warnings.warn(
202
+ [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
203
+ [default2]: warnings.warn(
204
+ [default0]:07/03/2024 21:26:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: Memory usage: 1427.33MiB. Peak allocated 3240.63MiB. Peak reserved: 3496.00MiB
205
+ [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
206
+ [default0]: warnings.warn(
207
+ [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
208
+ [default3]: warnings.warn(
209
+ [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
210
+ [default1]: warnings.warn(
211
+ [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
212
+ [default4]: warnings.warn(
213
+ [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
214
+ [default5]: warnings.warn(
215
+ [default0]:07/03/2024 21:26:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: iteration: 1 / 20 | consumed_tokens: 4.19M | elapsed_time_per_iteration_ms: 148K | tokens_per_sec: 28.3K | tokens_per_sec_per_gpu: 3.53K | global_batch_size: 1.02K | lm_loss: 11.5 | lr: 0.0001 | model_tflops_per_gpu: 32.1 | hardware_tflops_per_gpu: 32.1 | grad_norm: 15.7 | cuda_memory_allocated: 2.61G | cuda_max_memory_reserved: 3.67G | hd_total_memory_tb: 312G | hd_used_memory_tb: 66.1G | hd_free_memory_tb: 246G
216
+ [default0]:07/03/2024 21:26:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: Memory usage: 2487.25MiB. Peak allocated 2487.25MiB. Peak reserved: 3496.00MiB
217
+ [default0]:07/03/2024 21:28:25 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: Memory usage: 2487.75MiB. Peak allocated 4241.93MiB. Peak reserved: 4330.00MiB
218
+ [default0]:07/03/2024 21:28:25 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: iteration: 2 / 20 | consumed_tokens: 8.39M | elapsed_time_per_iteration_ms: 141K | tokens_per_sec: 29.8K | tokens_per_sec_per_gpu: 3.73K | global_batch_size: 1.02K | lm_loss: 11.5 | lr: 9.53e-05 | model_tflops_per_gpu: 33.9 | hardware_tflops_per_gpu: 33.9 | grad_norm: 16 | cuda_memory_allocated: 2.61G | cuda_max_memory_reserved: 4.54G | hd_total_memory_tb: 312G | hd_used_memory_tb: 66.1G | hd_free_memory_tb: 246G
219
+ [default0]:07/03/2024 21:28:25 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: Memory usage: 2487.25MiB. Peak allocated 2487.82MiB. Peak reserved: 4330.00MiB
220
+ [default0]:STAGE:2024-07-03 21:31:05 1814910:1814910 ActivityProfilerController.cpp:314] Completed Stage: Warm Up
221
+ [default0]:07/03/2024 21:31:05 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: Memory usage: 2487.75MiB. Peak allocated 4241.93MiB. Peak reserved: 4330.00MiB
222
+ [default0]:07/03/2024 21:31:05 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: iteration: 3 / 20 | consumed_tokens: 12.6M | elapsed_time_per_iteration_ms: 160K | tokens_per_sec: 26.2K | tokens_per_sec_per_gpu: 3.27K | global_batch_size: 1.02K | lm_loss: 12.8 | lr: 9.05e-05 | model_tflops_per_gpu: 29.7 | hardware_tflops_per_gpu: 29.7 | grad_norm: 137 | cuda_memory_allocated: 2.61G | cuda_max_memory_reserved: 4.54G | hd_total_memory_tb: 312G | hd_used_memory_tb: 66.1G | hd_free_memory_tb: 246G
223
+ [default0]:07/03/2024 21:31:05 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: Memory usage: 2487.25MiB. Peak allocated 2487.82MiB. Peak reserved: 4330.00MiB
224
+ [default0]:07/03/2024 21:34:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: Memory usage: 2487.75MiB. Peak allocated 4241.93MiB. Peak reserved: 4330.00MiB
225
+ [default0]:07/03/2024 21:34:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: iteration: 4 / 20 | consumed_tokens: 16.8M | elapsed_time_per_iteration_ms: 218K | tokens_per_sec: 19.2K | tokens_per_sec_per_gpu: 2.41K | global_batch_size: 1.02K | lm_loss: 12.2 | lr: 8.58e-05 | model_tflops_per_gpu: 21.8 | hardware_tflops_per_gpu: 21.8 | grad_norm: 22.4 | cuda_memory_allocated: 2.61G | cuda_max_memory_reserved: 4.54G | hd_total_memory_tb: 312G | hd_used_memory_tb: 66.1G | hd_free_memory_tb: 246G
226
+ [default0]:07/03/2024 21:34:43 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: Memory usage: 2487.25MiB. Peak allocated 2487.82MiB. Peak reserved: 4330.00MiB
227
+ [default0]:07/03/2024 21:38:22 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: iteration: 5 / 20 | consumed_tokens: 21M | elapsed_time_per_iteration_ms: 219K | tokens_per_sec: 19.1K | tokens_per_sec_per_gpu: 2.39K | global_batch_size: 1.02K | lm_loss: 12.4 | lr: 8.11e-05 | model_tflops_per_gpu: 21.7 | hardware_tflops_per_gpu: 21.7 | grad_norm: 42.8
228
+ [default0]:07/03/2024 21:38:22 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: Memory usage: 2487.25MiB. Peak allocated 4241.93MiB. Peak reserved: 4330.00MiB
229
+ [default0]:07/03/2024 21:42:04 [INFO|DP=0|PP=0|TP=0|ip-26-0-162-233]: iteration: 6 / 20 | consumed_tokens: 25.2M | elapsed_time_per_iteration_ms: 222K | tokens_per_sec: 18.9K | tokens_per_sec_per_gpu: 2.36K | global_batch_size: 1.02K | lm_loss: 11.1 | lr: 7.63e-05 | model_tflops_per_gpu: 21.4 | hardware_tflops_per_gpu: 21.4 | grad_norm: 24.8
230
+ [default4]:[rank4]:[E ProcessGroupNCCL.cpp:563] [Rank 4] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=1222720, OpType=_REDUCE_SCATTER_BASE, NumelIn=8388608, NumelOut=1048576, Timeout(ms)=600000) ran for 600024 milliseconds before timing out.
231
+ [default7]:[rank7]:[E ProcessGroupNCCL.cpp:563] [Rank 7] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=1222720, OpType=_REDUCE_SCATTER_BASE, NumelIn=8388608, NumelOut=1048576, Timeout(ms)=600000) ran for 600005 milliseconds before timing out.
232
+ [default2]:[rank2]:[E ProcessGroupNCCL.cpp:563] [Rank 2] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=1222720, OpType=_REDUCE_SCATTER_BASE, NumelIn=8388608, NumelOut=1048576, Timeout(ms)=600000) ran for 600022 milliseconds before timing out.
233
+ [default5]:[rank5]:[E ProcessGroupNCCL.cpp:563] [Rank 5] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=1222720, OpType=_REDUCE_SCATTER_BASE, NumelIn=8388608, NumelOut=1048576, Timeout(ms)=600000) ran for 600017 milliseconds before timing out.
234
+ [default1]:[rank1]:[E ProcessGroupNCCL.cpp:563] [Rank 1] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=1222720, OpType=_REDUCE_SCATTER_BASE, NumelIn=8388608, NumelOut=1048576, Timeout(ms)=600000) ran for 600074 milliseconds before timing out.
235
+ [default3]:[rank3]:[E ProcessGroupNCCL.cpp:563] [Rank 3] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=1222720, OpType=_REDUCE_SCATTER_BASE, NumelIn=8388608, NumelOut=1048576, Timeout(ms)=600000) ran for 600089 milliseconds before timing out.
236
+ [default6]:[rank6]:[E ProcessGroupNCCL.cpp:563] [Rank 6] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=1222720, OpType=_REDUCE_SCATTER_BASE, NumelIn=8388608, NumelOut=1048576, Timeout(ms)=600000) ran for 600090 milliseconds before timing out.
237
+ [default6]:[rank6]:[E ProcessGroupNCCL.cpp:1537] [PG 2 Rank 6] Timeout at NCCL work: 1222720, last enqueued NCCL work: 1222842, last completed NCCL work: 1222719.
238
+ [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.
239
+ [default6]:[rank6]:[E ProcessGroupNCCL.cpp:583] [Rank 6] To avoid data inconsistency, we are taking the entire process down.
240
+ [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=1222720, OpType=_REDUCE_SCATTER_BASE, NumelIn=8388608, NumelOut=1048576, Timeout(ms)=600000) ran for 600090 milliseconds before timing out.
241
+ [default6]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
242
+ [default6]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fdf364d0897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
243
+ [default6]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7fdf377a9c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
244
+ [default6]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7fdf377aea80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
245
+ [default6]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7fdf377afdcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
246
+ [default6]:frame #4: <unknown function> + 0xd3e95 (0x7fdf83248e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
247
+ [default6]:frame #5: <unknown function> + 0x8609 (0x7fdf8828f609 in /lib/x86_64-linux-gnu/libpthread.so.0)
248
+ [default6]:frame #6: clone + 0x43 (0x7fdf8805a353 in /lib/x86_64-linux-gnu/libc.so.6)
249
+ [default6]:
250
+ [default6]:terminate called after throwing an instance of 'c10::DistBackendError'
251
+ [default6]: what(): [PG 2 Rank 6] Process group watchdog thread terminated with exception: [Rank 6] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=1222720, OpType=_REDUCE_SCATTER_BASE, NumelIn=8388608, NumelOut=1048576, Timeout(ms)=600000) ran for 600090 milliseconds before timing out.
252
+ [default6]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
253
+ [default6]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fdf364d0897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
254
+ [default6]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7fdf377a9c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
255
+ [default6]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7fdf377aea80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
256
+ [default6]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7fdf377afdcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
257
+ [default6]:frame #4: <unknown function> + 0xd3e95 (0x7fdf83248e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
258
+ [default6]:frame #5: <unknown function> + 0x8609 (0x7fdf8828f609 in /lib/x86_64-linux-gnu/libpthread.so.0)
259
+ [default6]:frame #6: clone + 0x43 (0x7fdf8805a353 in /lib/x86_64-linux-gnu/libc.so.6)
260
+ [default6]:
261
+ [default6]:Exception raised from ncclCommWatchdog at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1418 (most recent call first):
262
+ [default6]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fdf364d0897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
263
+ [default6]:frame #1: <unknown function> + 0xe32119 (0x7fdf37433119 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
264
+ [default6]:frame #2: <unknown function> + 0xd3e95 (0x7fdf83248e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
265
+ [default6]:frame #3: <unknown function> + 0x8609 (0x7fdf8828f609 in /lib/x86_64-linux-gnu/libpthread.so.0)
266
+ [default6]:frame #4: clone + 0x43 (0x7fdf8805a353 in /lib/x86_64-linux-gnu/libc.so.6)
267
+ [default6]:
268
+ [default7]:[rank7]:[E ProcessGroupNCCL.cpp:1537] [PG 2 Rank 7] Timeout at NCCL work: 1222720, last enqueued NCCL work: 1222842, last completed NCCL work: 1222719.
269
+ [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.
270
+ [default7]:[rank7]:[E ProcessGroupNCCL.cpp:583] [Rank 7] To avoid data inconsistency, we are taking the entire process down.
271
+ [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=1222720, OpType=_REDUCE_SCATTER_BASE, NumelIn=8388608, NumelOut=1048576, Timeout(ms)=600000) ran for 600005 milliseconds before timing out.
272
+ [default7]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
273
+ [default7]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fb64e5ed897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
274
+ [default7]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7fb64f8c6c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
275
+ [default7]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7fb64f8cba80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
276
+ [default7]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7fb64f8ccdcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
277
+ [default7]:frame #4: <unknown function> + 0xd3e95 (0x7fb69b365e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
278
+ [default7]:frame #5: <unknown function> + 0x8609 (0x7fb6a03ac609 in /lib/x86_64-linux-gnu/libpthread.so.0)
279
+ [default7]:frame #6: clone + 0x43 (0x7fb6a0177353 in /lib/x86_64-linux-gnu/libc.so.6)
280
+ [default7]:
281
+ [default7]:terminate called after throwing an instance of 'c10::DistBackendError'
282
+ [default7]: what(): [PG 2 Rank 7] Process group watchdog thread terminated with exception: [Rank 7] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=1222720, OpType=_REDUCE_SCATTER_BASE, NumelIn=8388608, NumelOut=1048576, Timeout(ms)=600000) ran for 600005 milliseconds before timing out.
283
+ [default7]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
284
+ [default7]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fb64e5ed897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
285
+ [default7]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7fb64f8c6c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
286
+ [default7]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7fb64f8cba80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
287
+ [default7]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7fb64f8ccdcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
288
+ [default7]:frame #4: <unknown function> + 0xd3e95 (0x7fb69b365e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
289
+ [default7]:frame #5: <unknown function> + 0x8609 (0x7fb6a03ac609 in /lib/x86_64-linux-gnu/libpthread.so.0)
290
+ [default7]:frame #6: clone + 0x43 (0x7fb6a0177353 in /lib/x86_64-linux-gnu/libc.so.6)
291
+ [default7]:
292
+ [default7]:Exception raised from ncclCommWatchdog at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1418 (most recent call first):
293
+ [default7]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fb64e5ed897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
294
+ [default7]:frame #1: <unknown function> + 0xe32119 (0x7fb64f550119 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
295
+ [default7]:frame #2: <unknown function> + 0xd3e95 (0x7fb69b365e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
296
+ [default7]:frame #3: <unknown function> + 0x8609 (0x7fb6a03ac609 in /lib/x86_64-linux-gnu/libpthread.so.0)
297
+ [default7]:frame #4: clone + 0x43 (0x7fb6a0177353 in /lib/x86_64-linux-gnu/libc.so.6)
298
+ [default7]:
299
+ [default2]:[rank2]:[E ProcessGroupNCCL.cpp:1537] [PG 2 Rank 2] Timeout at NCCL work: 1222720, last enqueued NCCL work: 1222842, last completed NCCL work: 1222719.
300
+ [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.
301
+ [default2]:[rank2]:[E ProcessGroupNCCL.cpp:583] [Rank 2] To avoid data inconsistency, we are taking the entire process down.
302
+ [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=1222720, OpType=_REDUCE_SCATTER_BASE, NumelIn=8388608, NumelOut=1048576, Timeout(ms)=600000) ran for 600022 milliseconds before timing out.
303
+ [default2]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
304
+ [default2]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fb58ccb2897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
305
+ [default2]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7fb58df8bc62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
306
+ [default2]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7fb58df90a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
307
+ [default2]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7fb58df91dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
308
+ [default2]:frame #4: <unknown function> + 0xd3e95 (0x7fb5d9a2ae95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
309
+ [default2]:frame #5: <unknown function> + 0x8609 (0x7fb5dea71609 in /lib/x86_64-linux-gnu/libpthread.so.0)
310
+ [default2]:frame #6: clone + 0x43 (0x7fb5de83c353 in /lib/x86_64-linux-gnu/libc.so.6)
311
+ [default2]:
312
+ [default2]:terminate called after throwing an instance of 'c10::DistBackendError'
313
+ [default2]: what(): [PG 2 Rank 2] Process group watchdog thread terminated with exception: [Rank 2] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=1222720, OpType=_REDUCE_SCATTER_BASE, NumelIn=8388608, NumelOut=1048576, Timeout(ms)=600000) ran for 600022 milliseconds before timing out.
314
+ [default2]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
315
+ [default2]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fb58ccb2897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
316
+ [default2]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7fb58df8bc62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
317
+ [default2]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7fb58df90a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
318
+ [default2]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7fb58df91dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
319
+ [default2]:frame #4: <unknown function> + 0xd3e95 (0x7fb5d9a2ae95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
320
+ [default2]:frame #5: <unknown function> + 0x8609 (0x7fb5dea71609 in /lib/x86_64-linux-gnu/libpthread.so.0)
321
+ [default2]:frame #6: clone + 0x43 (0x7fb5de83c353 in /lib/x86_64-linux-gnu/libc.so.6)
322
+ [default2]:
323
+ [default2]:Exception raised from ncclCommWatchdog at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1418 (most recent call first):
324
+ [default2]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fb58ccb2897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
325
+ [default2]:frame #1: <unknown function> + 0xe32119 (0x7fb58dc15119 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
326
+ [default2]:frame #2: <unknown function> + 0xd3e95 (0x7fb5d9a2ae95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
327
+ [default2]:frame #3: <unknown function> + 0x8609 (0x7fb5dea71609 in /lib/x86_64-linux-gnu/libpthread.so.0)
328
+ [default2]:frame #4: clone + 0x43 (0x7fb5de83c353 in /lib/x86_64-linux-gnu/libc.so.6)
329
+ [default2]:
330
+ [default5]:[rank5]:[E ProcessGroupNCCL.cpp:1537] [PG 2 Rank 5] Timeout at NCCL work: 1222720, last enqueued NCCL work: 1222842, last completed NCCL work: 1222719.
331
+ [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.
332
+ [default5]:[rank5]:[E ProcessGroupNCCL.cpp:583] [Rank 5] To avoid data inconsistency, we are taking the entire process down.
333
+ [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=1222720, OpType=_REDUCE_SCATTER_BASE, NumelIn=8388608, NumelOut=1048576, Timeout(ms)=600000) ran for 600017 milliseconds before timing out.
334
+ [default5]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
335
+ [default5]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fd9b8b9a897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
336
+ [default5]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7fd9b9e73c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
337
+ [default5]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7fd9b9e78a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
338
+ [default5]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7fd9b9e79dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
339
+ [default5]:frame #4: <unknown function> + 0xd3e95 (0x7fda05912e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
340
+ [default5]:frame #5: <unknown function> + 0x8609 (0x7fda0a959609 in /lib/x86_64-linux-gnu/libpthread.so.0)
341
+ [default5]:frame #6: clone + 0x43 (0x7fda0a724353 in /lib/x86_64-linux-gnu/libc.so.6)
342
+ [default5]:
343
+ [default5]:terminate called after throwing an instance of 'c10::DistBackendError'
344
+ [default5]: what(): [PG 2 Rank 5] Process group watchdog thread terminated with exception: [Rank 5] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=1222720, OpType=_REDUCE_SCATTER_BASE, NumelIn=8388608, NumelOut=1048576, Timeout(ms)=600000) ran for 600017 milliseconds before timing out.
345
+ [default5]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
346
+ [default5]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fd9b8b9a897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
347
+ [default5]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7fd9b9e73c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
348
+ [default5]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7fd9b9e78a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
349
+ [default5]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7fd9b9e79dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
350
+ [default5]:frame #4: <unknown function> + 0xd3e95 (0x7fda05912e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
351
+ [default5]:frame #5: <unknown function> + 0x8609 (0x7fda0a959609 in /lib/x86_64-linux-gnu/libpthread.so.0)
352
+ [default5]:frame #6: clone + 0x43 (0x7fda0a724353 in /lib/x86_64-linux-gnu/libc.so.6)
353
+ [default5]:
354
+ [default5]:Exception raised from ncclCommWatchdog at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1418 (most recent call first):
355
+ [default5]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fd9b8b9a897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
356
+ [default5]:frame #1: <unknown function> + 0xe32119 (0x7fd9b9afd119 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
357
+ [default5]:frame #2: <unknown function> + 0xd3e95 (0x7fda05912e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
358
+ [default5]:frame #3: <unknown function> + 0x8609 (0x7fda0a959609 in /lib/x86_64-linux-gnu/libpthread.so.0)
359
+ [default5]:frame #4: clone + 0x43 (0x7fda0a724353 in /lib/x86_64-linux-gnu/libc.so.6)
360
+ [default5]:
361
+ [default1]:[rank1]:[E ProcessGroupNCCL.cpp:1537] [PG 2 Rank 1] Timeout at NCCL work: 1222720, last enqueued NCCL work: 1222842, last completed NCCL work: 1222719.
362
+ [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.
363
+ [default1]:[rank1]:[E ProcessGroupNCCL.cpp:583] [Rank 1] To avoid data inconsistency, we are taking the entire process down.
364
+ [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=1222720, OpType=_REDUCE_SCATTER_BASE, NumelIn=8388608, NumelOut=1048576, Timeout(ms)=600000) ran for 600074 milliseconds before timing out.
365
+ [default1]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
366
+ [default1]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7ffad9416897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
367
+ [default1]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7ffada6efc62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
368
+ [default1]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7ffada6f4a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
369
+ [default1]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7ffada6f5dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
370
+ [default1]:frame #4: <unknown function> + 0xd3e95 (0x7ffb2618ee95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
371
+ [default1]:frame #5: <unknown function> + 0x8609 (0x7ffb2b1d5609 in /lib/x86_64-linux-gnu/libpthread.so.0)
372
+ [default1]:frame #6: clone + 0x43 (0x7ffb2afa0353 in /lib/x86_64-linux-gnu/libc.so.6)
373
+ [default1]:
374
+ [default1]:terminate called after throwing an instance of 'c10::DistBackendError'
375
+ [default1]: what(): [PG 2 Rank 1] Process group watchdog thread terminated with exception: [Rank 1] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=1222720, OpType=_REDUCE_SCATTER_BASE, NumelIn=8388608, NumelOut=1048576, Timeout(ms)=600000) ran for 600074 milliseconds before timing out.
376
+ [default1]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
377
+ [default1]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7ffad9416897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
378
+ [default1]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7ffada6efc62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
379
+ [default1]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7ffada6f4a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
380
+ [default1]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7ffada6f5dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
381
+ [default1]:frame #4: <unknown function> + 0xd3e95 (0x7ffb2618ee95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
382
+ [default1]:frame #5: <unknown function> + 0x8609 (0x7ffb2b1d5609 in /lib/x86_64-linux-gnu/libpthread.so.0)
383
+ [default1]:frame #6: clone + 0x43 (0x7ffb2afa0353 in /lib/x86_64-linux-gnu/libc.so.6)
384
+ [default1]:
385
+ [default1]:Exception raised from ncclCommWatchdog at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1418 (most recent call first):
386
+ [default1]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7ffad9416897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
387
+ [default1]:frame #1: <unknown function> + 0xe32119 (0x7ffada379119 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
388
+ [default1]:frame #2: <unknown function> + 0xd3e95 (0x7ffb2618ee95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
389
+ [default1]:frame #3: <unknown function> + 0x8609 (0x7ffb2b1d5609 in /lib/x86_64-linux-gnu/libpthread.so.0)
390
+ [default1]:frame #4: clone + 0x43 (0x7ffb2afa0353 in /lib/x86_64-linux-gnu/libc.so.6)
391
+ [default1]:
392
+ [default4]:[rank4]:[E ProcessGroupNCCL.cpp:1537] [PG 2 Rank 4] Timeout at NCCL work: 1222720, last enqueued NCCL work: 1222842, last completed NCCL work: 1222719.
393
+ [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.
394
+ [default4]:[rank4]:[E ProcessGroupNCCL.cpp:583] [Rank 4] To avoid data inconsistency, we are taking the entire process down.
395
+ [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=1222720, OpType=_REDUCE_SCATTER_BASE, NumelIn=8388608, NumelOut=1048576, Timeout(ms)=600000) ran for 600024 milliseconds before timing out.
396
+ [default4]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
397
+ [default4]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f91375e9897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
398
+ [default4]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7f91388c2c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
399
+ [default4]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7f91388c7a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
400
+ [default4]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7f91388c8dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
401
+ [default4]:frame #4: <unknown function> + 0xd3e95 (0x7f9184361e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
402
+ [default4]:frame #5: <unknown function> + 0x8609 (0x7f91893a8609 in /lib/x86_64-linux-gnu/libpthread.so.0)
403
+ [default4]:frame #6: clone + 0x43 (0x7f9189173353 in /lib/x86_64-linux-gnu/libc.so.6)
404
+ [default4]:
405
+ [default4]:terminate called after throwing an instance of 'c10::DistBackendError'
406
+ [default4]: what(): [PG 2 Rank 4] Process group watchdog thread terminated with exception: [Rank 4] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=1222720, OpType=_REDUCE_SCATTER_BASE, NumelIn=8388608, NumelOut=1048576, Timeout(ms)=600000) ran for 600024 milliseconds before timing out.
407
+ [default4]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
408
+ [default4]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f91375e9897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
409
+ [default4]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7f91388c2c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
410
+ [default4]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7f91388c7a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
411
+ [default4]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7f91388c8dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
412
+ [default4]:frame #4: <unknown function> + 0xd3e95 (0x7f9184361e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
413
+ [default4]:frame #5: <unknown function> + 0x8609 (0x7f91893a8609 in /lib/x86_64-linux-gnu/libpthread.so.0)
414
+ [default4]:frame #6: clone + 0x43 (0x7f9189173353 in /lib/x86_64-linux-gnu/libc.so.6)
415
+ [default4]:
416
+ [default4]:Exception raised from ncclCommWatchdog at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1418 (most recent call first):
417
+ [default4]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f91375e9897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
418
+ [default4]:frame #1: <unknown function> + 0xe32119 (0x7f913854c119 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
419
+ [default4]:frame #2: <unknown function> + 0xd3e95 (0x7f9184361e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
420
+ [default4]:frame #3: <unknown function> + 0x8609 (0x7f91893a8609 in /lib/x86_64-linux-gnu/libpthread.so.0)
421
+ [default4]:frame #4: clone + 0x43 (0x7f9189173353 in /lib/x86_64-linux-gnu/libc.so.6)
422
+ [default4]:
423
+ [default3]:[rank3]:[E ProcessGroupNCCL.cpp:1537] [PG 2 Rank 3] Timeout at NCCL work: 1222720, last enqueued NCCL work: 1222842, last completed NCCL work: 1222719.
424
+ [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.
425
+ [default3]:[rank3]:[E ProcessGroupNCCL.cpp:583] [Rank 3] To avoid data inconsistency, we are taking the entire process down.
426
+ [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=1222720, OpType=_REDUCE_SCATTER_BASE, NumelIn=8388608, NumelOut=1048576, Timeout(ms)=600000) ran for 600089 milliseconds before timing out.
427
+ [default3]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
428
+ [default3]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fc7c1cbd897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
429
+ [default3]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7fc7c2f96c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
430
+ [default3]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7fc7c2f9ba80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
431
+ [default3]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7fc7c2f9cdcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
432
+ [default3]:frame #4: <unknown function> + 0xd3e95 (0x7fc80ea35e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
433
+ [default3]:frame #5: <unknown function> + 0x8609 (0x7fc813a7c609 in /lib/x86_64-linux-gnu/libpthread.so.0)
434
+ [default3]:frame #6: clone + 0x43 (0x7fc813847353 in /lib/x86_64-linux-gnu/libc.so.6)
435
+ [default3]:
436
+ [default3]:terminate called after throwing an instance of 'c10::DistBackendError'
437
+ [default3]: what(): [PG 2 Rank 3] Process group watchdog thread terminated with exception: [Rank 3] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=1222720, OpType=_REDUCE_SCATTER_BASE, NumelIn=8388608, NumelOut=1048576, Timeout(ms)=600000) ran for 600089 milliseconds before timing out.
438
+ [default3]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
439
+ [default3]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fc7c1cbd897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
440
+ [default3]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7fc7c2f96c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
441
+ [default3]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7fc7c2f9ba80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
442
+ [default3]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7fc7c2f9cdcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
443
+ [default3]:frame #4: <unknown function> + 0xd3e95 (0x7fc80ea35e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
444
+ [default3]:frame #5: <unknown function> + 0x8609 (0x7fc813a7c609 in /lib/x86_64-linux-gnu/libpthread.so.0)
445
+ [default3]:frame #6: clone + 0x43 (0x7fc813847353 in /lib/x86_64-linux-gnu/libc.so.6)
446
+ [default3]:
447
+ [default3]:Exception raised from ncclCommWatchdog at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1418 (most recent call first):
448
+ [default3]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fc7c1cbd897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
449
+ [default3]:frame #1: <unknown function> + 0xe32119 (0x7fc7c2c20119 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
450
+ [default3]:frame #2: <unknown function> + 0xd3e95 (0x7fc80ea35e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
451
+ [default3]:frame #3: <unknown function> + 0x8609 (0x7fc813a7c609 in /lib/x86_64-linux-gnu/libpthread.so.0)
452
+ [default3]:frame #4: clone + 0x43 (0x7fc813847353 in /lib/x86_64-linux-gnu/libc.so.6)
453
+ [default3]:
454
+ W0703 21:52:55.522000 140614011090752 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 1814910 closing signal SIGTERM
455
+ E0703 21:53:09.170000 140614011090752 torch/distributed/elastic/multiprocessing/api.py:826] failed (exitcode: -6) local_rank: 1 (pid: 1814911) of binary: /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10
456
+ Traceback (most recent call last):
457
+ File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/torchrun", line 8, in <module>
458
+ sys.exit(main())
459
+ File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 347, in wrapper
460
+ return f(*args, **kwargs)
461
+ File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 879, in main
462
+ run(args)
463
+ File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 870, in run
464
+ elastic_launch(
465
+ File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 132, in __call__
466
+ return launch_agent(self._config, self._entrypoint, list(args))
467
+ File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 263, in launch_agent
468
+ raise ChildFailedError(
469
+ torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
470
+ ============================================================
471
+ /fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py FAILED
472
+ ------------------------------------------------------------
473
+ Failures:
474
+ [1]:
475
+ time : 2024-07-03_21:52:55
476
+ host : ip-26-0-162-233.ec2.internal
477
+ rank : 2 (local_rank: 2)
478
+ exitcode : -6 (pid: 1814912)
479
+ error_file: <N/A>
480
+ traceback : Signal 6 (SIGABRT) received by PID 1814912
481
+ [2]:
482
+ time : 2024-07-03_21:52:55
483
+ host : ip-26-0-162-233.ec2.internal
484
+ rank : 3 (local_rank: 3)
485
+ exitcode : -6 (pid: 1814913)
486
+ error_file: <N/A>
487
+ traceback : Signal 6 (SIGABRT) received by PID 1814913
488
+ [3]:
489
+ time : 2024-07-03_21:52:55
490
+ host : ip-26-0-162-233.ec2.internal
491
+ rank : 4 (local_rank: 4)
492
+ exitcode : -6 (pid: 1814914)
493
+ error_file: <N/A>
494
+ traceback : Signal 6 (SIGABRT) received by PID 1814914
495
+ [4]:
496
+ time : 2024-07-03_21:52:55
497
+ host : ip-26-0-162-233.ec2.internal
498
+ rank : 5 (local_rank: 5)
499
+ exitcode : -6 (pid: 1814915)
500
+ error_file: <N/A>
501
+ traceback : Signal 6 (SIGABRT) received by PID 1814915
502
+ [5]:
503
+ time : 2024-07-03_21:52:55
504
+ host : ip-26-0-162-233.ec2.internal
505
+ rank : 6 (local_rank: 6)
506
+ exitcode : -6 (pid: 1814916)
507
+ error_file: <N/A>
508
+ traceback : Signal 6 (SIGABRT) received by PID 1814916
509
+ [6]:
510
+ time : 2024-07-03_21:52:55
511
+ host : ip-26-0-162-233.ec2.internal
512
+ rank : 7 (local_rank: 7)
513
+ exitcode : -6 (pid: 1814917)
514
+ error_file: <N/A>
515
+ traceback : Signal 6 (SIGABRT) received by PID 1814917
516
+ ------------------------------------------------------------
517
+ Root Cause (first observed failure):
518
+ [0]:
519
+ time : 2024-07-03_21:52:55
520
+ host : ip-26-0-162-233.ec2.internal
521
+ rank : 1 (local_rank: 1)
522
+ exitcode : -6 (pid: 1814911)
523
+ error_file: <N/A>
524
+ traceback : Signal 6 (SIGABRT) received by PID 1814911
525
+ ============================================================
526
+ srun: error: ip-26-0-162-233: task 0: Exited with exit code 1
527
+ 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.
llama-1B/8_GPUS/dp-1_tp-8_pp-1_mbz-1/status.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ timeout