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Upload llama-1B/8_GPUS/dp-2_tp-4_pp-1_mbz-2

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Files changed (4) hide show
  1. llama-1B/8_GPUS/dp-2_tp-4_pp-1_mbz-2/bench.slurm +111 -0
  2. llama-1B/8_GPUS/dp-2_tp-4_pp-1_mbz-2/config.yaml +90 -0
  3. llama-1B/8_GPUS/dp-2_tp-4_pp-1_mbz-2/log.out +370 -0
  4. llama-1B/8_GPUS/dp-2_tp-4_pp-1_mbz-2/status.txt +1 -0
llama-1B/8_GPUS/dp-2_tp-4_pp-1_mbz-2/bench.slurm ADDED
@@ -0,0 +1,111 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+
3
+ #SBATCH --job-name=bench_cluster
4
+ #SBATCH --time=02:00:00
5
+ #SBATCH --partition=hopper-prod
6
+ #SBATCH --nodes=1
7
+ #SBATCH --gres=gpu:8
8
+ #SBATCH --qos=normal
9
+ #SBATCH --ntasks-per-node=1
10
+ #SBATCH --cpus-per-task=96
11
+ #SBATCH --exclusive
12
+ #SBATCH --output=/fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-2_tp-4_pp-1_mbz-2/log.out
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+ #SBATCH --error=/fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-2_tp-4_pp-1_mbz-2/log.out
14
+
15
+ # Function to update status based on squeue output
16
+ update_status() {
17
+ job_id=$1
18
+ status_file=$2
19
+ # For unknown reasons, it doenst update status for pending. It only works for running
20
+ while true; do
21
+ job_status=$(squeue --job $job_id --noheader --format=%T)
22
+ echo "Job status: $job_status"
23
+ if [ -z "$job_status" ]; then
24
+ # Job has finished or is not found
25
+ break
26
+ elif [ "$job_status" = "RUNNING" ]; then
27
+ printf "running" > $status_file
28
+ break
29
+ fi
30
+ sleep 10
31
+ done
32
+ }
33
+
34
+ # Misc initializations.
35
+ echo "========================"
36
+ echo "START TIME: $(date)"
37
+ source /fsx/ferdinandmom/miniforge3/etc/profile.d/conda.sh
38
+ conda activate /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster
39
+ echo python3 version = $(python3 --version)
40
+ echo "========================"
41
+
42
+ # Slurm stuff
43
+ export HOSTNAMES=$(scontrol show hostnames "$SLURM_JOB_NODELIST")
44
+ export MASTER_ADDR=$(scontrol show hostnames "$SLURM_JOB_NODELIST" | head -n 1)
45
+ export MASTER_PORT=$((1024 + RANDOM % 64511))
46
+
47
+ export TMPDIR=/scratch
48
+ export HF_DATASETS_CACHE="/admin/home/ferdinand_mom/.cache"
49
+ export CUBLAS_WORKSPACE_CONFIG=":4096:8"
50
+ export CUDA_DEVICE_MAX_CONNECTIONS="1"
51
+
52
+ huggingface-cli login --token $HUGGINGFACE_TOKEN
53
+
54
+
55
+ NANOTRON_REPO="/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron"
56
+ CMD="$NANOTRON_REPO/run_train.py --config-file /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-2_tp-4_pp-1_mbz-2/config.yaml"
57
+
58
+ LAUNCHER="torchrun \
59
+ --nproc_per_node 8 \
60
+ --nnodes 1 \
61
+ --rdzv_endpoint ${MASTER_ADDR}:${MASTER_PORT} \
62
+ --rdzv_backend c10d \
63
+ --max_restarts 0 \
64
+ --tee 3 \
65
+ --node_rank ${SLURM_PROCID}"
66
+
67
+ # Checkout the bench_cluster branch
68
+ cd $NANOTRON_REPO
69
+ git checkout bench_cluster
70
+ cd ..
71
+ # Get the current job ID
72
+ job_id=${SLURM_JOB_ID}
73
+
74
+ # Update status to "pending" or "running" in the background
75
+ update_status $job_id /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-2_tp-4_pp-1_mbz-2/status.txt &
76
+
77
+ # Run the main command
78
+ 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-2_tp-4_pp-1_mbz-2/status.txt
84
+ else
85
+ if grep -q "OutOfMemoryError" /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-2_tp-4_pp-1_mbz-2/log.out; then
86
+ printf "oom" > /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-2_tp-4_pp-1_mbz-2/status.txt
87
+ elif grep -q " CUDA error: an illegal memory access" /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-2_tp-4_pp-1_mbz-2/log.out; then
88
+ printf "oom" > /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-2_tp-4_pp-1_mbz-2/status.txt
89
+ elif grep -q "Timeout at NCCL" /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-2_tp-4_pp-1_mbz-2/log.out; then
90
+ printf "timeout" > /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-2_tp-4_pp-1_mbz-2/status.txt
91
+ else
92
+ printf "fail" > /fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/8_GPUS/dp-2_tp-4_pp-1_mbz-2/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-2_tp-4_pp-1_mbz-2 --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-2_tp-4_pp-1_mbz-2 --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-2_tp-4_pp-1_mbz-2 llama-1B/8_GPUS/dp-2_tp-4_pp-1_mbz-2 --commit-message "Upload llama-1B/8_GPUS/dp-2_tp-4_pp-1_mbz-2"
105
+
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-2_tp-4_pp-1_mbz-2/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: 2
49
+ expert_parallel_size: 1
50
+ pp: 1
51
+ pp_engine: 1f1b
52
+ tp: 4
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-2_tp-4_pp-1_mbz-2
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: 256
79
+ limit_test_batches: 0
80
+ limit_val_batches: 0
81
+ micro_batch_size: 2
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-2_tp-4_pp-1_mbz-2/log.out ADDED
@@ -0,0 +1,370 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ========================
2
+ START TIME: Wed Jul 3 20:51:52 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 20:51:54.696000 139757201868608 torch/distributed/run.py:757]
18
+ W0703 20:51:54.696000 139757201868608 torch/distributed/run.py:757] *****************************************
19
+ W0703 20:51:54.696000 139757201868608 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 20:51:54.696000 139757201868608 torch/distributed/run.py:757] *****************************************
21
+ [default0]:07/03/2024 20:52:10 [WARNING|DP=0|PP=0|TP=0|ip-26-0-174-36]: [Vocab Size Padding] Padded vocab (size: 50257) with 3 dummy tokens (new size: 50260)
22
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Config:
23
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Config(general=GeneralArgs(project='bench_cluster',
24
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: run='%date_%jobid',
25
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: seed=42,
26
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: step=None,
27
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: consumed_train_samples=None,
28
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: benchmark_csv_path=None,
29
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: ignore_sanity_checks=True),
30
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: parallelism=ParallelismArgs(dp=2,
31
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: pp=1,
32
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: tp=4,
33
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: pp_engine=<nanotron.parallel.pipeline_parallel.engine.OneForwardOneBackwardPipelineEngine object at 0x7f4ac43c0670>,
34
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: tp_mode=<TensorParallelLinearMode.REDUCE_SCATTER: 2>,
35
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: tp_linear_async_communication=False,
36
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: expert_parallel_size=1),
37
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: model=ModelArgs(model_config=LlamaConfig(bos_token_id=1,
38
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: eos_token_id=2,
39
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: hidden_act='silu',
40
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: hidden_size=2048,
41
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: initializer_range=0.02,
42
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: intermediate_size=4096,
43
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: is_llama_config=True,
44
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: max_position_embeddings=4096,
45
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: num_attention_heads=32,
46
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: num_hidden_layers=24,
47
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: num_key_value_heads=32,
48
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: pad_token_id=None,
49
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: pretraining_tp=1,
50
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: rms_norm_eps=1e-05,
51
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: rope_scaling=None,
52
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: rope_theta=10000.0,
53
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: tie_word_embeddings=True,
54
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: use_cache=True,
55
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: vocab_size=50260),
56
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: init_method=RandomInit(std=0.025),
57
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: dtype=torch.bfloat16,
58
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: make_vocab_size_divisible_by=1,
59
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: ddp_bucket_cap_mb=25),
60
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: tokenizer=TokenizerArgs(tokenizer_name_or_path='openai-community/gpt2',
61
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: tokenizer_revision=None,
62
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: tokenizer_max_length=None),
63
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: checkpoints=CheckpointsArgs(checkpoints_path=Path('/dev/null'),
64
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: checkpoint_interval=100000,
65
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: save_initial_state=False,
66
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: resume_checkpoint_path=None,
67
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: checkpoints_path_is_shared_file_system=False),
68
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: logging=LoggingArgs(log_level='info',
69
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: log_level_replica='info',
70
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: iteration_step_info_interval=1),
71
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: tokens=TokensArgs(sequence_length=4096,
72
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: train_steps=20,
73
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: micro_batch_size=2,
74
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: batch_accumulation_per_replica=256,
75
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: val_check_interval=-1,
76
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: limit_val_batches=0,
77
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: limit_test_batches=0),
78
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: optimizer=OptimizerArgs(optimizer_factory=AdamWOptimizerArgs(adam_eps=1e-08,
79
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: adam_beta1=0.9,
80
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: adam_beta2=0.95,
81
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: torch_adam_is_fused=True,
82
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: name='adamW'),
83
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: zero_stage=1,
84
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: weight_decay=0.01,
85
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: clip_grad=1.0,
86
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: accumulate_grad_in_fp32=True,
87
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: learning_rate_scheduler=LRSchedulerArgs(learning_rate=0.0001,
88
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: lr_warmup_steps=1,
89
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: lr_warmup_style='linear',
90
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: lr_decay_style='linear',
91
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: lr_decay_steps=19,
92
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: lr_decay_starting_step=None,
93
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: min_decay_lr=1e-05)),
94
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: data_stages=[DatasetStageArgs(name='Training Stage',
95
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: start_training_step=1,
96
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: data=DataArgs(dataset=PretrainDatasetsArgs(hf_dataset_or_datasets='roneneldan/TinyStories',
97
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: hf_dataset_splits='train',
98
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: hf_dataset_config_name=None,
99
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: dataset_processing_num_proc_per_process=64,
100
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: dataset_overwrite_cache=False,
101
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: text_column_name='text'),
102
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: seed=42,
103
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: num_loading_workers=0))],
104
+ [default0]:07/03/2024 20:52:10 [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-2_tp-4_pp-1_mbz-2')),
105
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: lighteval=None)
106
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Model Config:
107
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: LlamaConfig(bos_token_id=1,
108
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: eos_token_id=2,
109
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: hidden_act='silu',
110
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: hidden_size=2048,
111
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: initializer_range=0.02,
112
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: intermediate_size=4096,
113
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: is_llama_config=True,
114
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: max_position_embeddings=4096,
115
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: num_attention_heads=32,
116
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: num_hidden_layers=24,
117
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: num_key_value_heads=32,
118
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: pad_token_id=None,
119
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: pretraining_tp=1,
120
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: rms_norm_eps=1e-05,
121
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: rope_scaling=None,
122
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: rope_theta=10000.0,
123
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: tie_word_embeddings=True,
124
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: use_cache=True,
125
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: vocab_size=50260)
126
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Building model..
127
+ [default0]:07/03/2024 20:52:10 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Setting PP block ranks...
128
+ [default4]:07/03/2024 20:52:23 [INFO|DP=1|PP=0|TP=0|ip-26-0-174-36]: No checkpoint path provided.
129
+ [default1]:07/03/2024 20:52:23 [INFO|DP=0|PP=0|TP=1|ip-26-0-174-36]: Local number of parameters: 277M (529.27MiB)
130
+ [default1]:07/03/2024 20:52:23 [INFO|DP=0|PP=0|TP=1|ip-26-0-174-36]: [After model building] Memory usage: 554.21MiB. Peak allocated: 606.24MiB Peak reserved: 608.00MiB
131
+ [default1]:07/03/2024 20:52:23 [INFO|DP=0|PP=0|TP=1|ip-26-0-174-36]: No checkpoint path provided.
132
+ [default2]:07/03/2024 20:52:23 [INFO|DP=0|PP=0|TP=2|ip-26-0-174-36]: Local number of parameters: 277M (529.27MiB)
133
+ [default2]:07/03/2024 20:52:23 [INFO|DP=0|PP=0|TP=2|ip-26-0-174-36]: [After model building] Memory usage: 554.21MiB. Peak allocated: 606.24MiB Peak reserved: 608.00MiB
134
+ [default2]:07/03/2024 20:52:23 [INFO|DP=0|PP=0|TP=2|ip-26-0-174-36]: No checkpoint path provided.
135
+ [default0]:07/03/2024 20:52:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Total number of parameters: 1.11G (2117.09MiB)
136
+ [default0]:07/03/2024 20:52:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Local number of parameters: 277M (529.27MiB)
137
+ [default0]:07/03/2024 20:52:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: [After model building] Memory usage: 554.21MiB. Peak allocated: 606.24MiB Peak reserved: 608.00MiB
138
+ [default0]:07/03/2024 20:52:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: No checkpoint path provided.
139
+ [default0]:07/03/2024 20:52:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Parametrizing model parameters using StandardParametrizator
140
+ [default5]:07/03/2024 20:52:23 [INFO|DP=1|PP=0|TP=1|ip-26-0-174-36]: No checkpoint path provided.
141
+ [default6]:07/03/2024 20:52:23 [INFO|DP=1|PP=0|TP=2|ip-26-0-174-36]: No checkpoint path provided.
142
+ [default3]:07/03/2024 20:52:23 [INFO|DP=0|PP=0|TP=3|ip-26-0-174-36]: Local number of parameters: 277M (529.27MiB)
143
+ [default3]:07/03/2024 20:52:23 [INFO|DP=0|PP=0|TP=3|ip-26-0-174-36]: [After model building] Memory usage: 554.21MiB. Peak allocated: 606.24MiB Peak reserved: 608.00MiB
144
+ [default3]:07/03/2024 20:52:23 [INFO|DP=0|PP=0|TP=3|ip-26-0-174-36]: No checkpoint path provided.
145
+ [default7]:07/03/2024 20:52:23 [INFO|DP=1|PP=0|TP=3|ip-26-0-174-36]: No checkpoint path provided.
146
+ [default0]:07/03/2024 20:52:25 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: [Optimizer Building] Using LearningRateForSP as learning rate
147
+ [default0]:07/03/2024 20:52:25 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: [ZeRO sharding] Size of optimizer params per rank:
148
+ [default0]:07/03/2024 20:52:25 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: [ZeRO sharding] DP Rank 0 has 139M out of 277M (50.00%) params' optimizer states
149
+ [default0]:07/03/2024 20:52:25 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: [ZeRO sharding] DP Rank 1 has 139M out of 277M (50.00%) params' optimizer states
150
+ [default0]:07/03/2024 20:52:26 [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
151
+ [default0]:07/03/2024 20:52:26 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Using `datasets` library
152
+ [default0]:07/03/2024 20:52:26 [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')
153
+ [default0]:Repo card metadata block was not found. Setting CardData to empty.
154
+ [default0]:07/03/2024 20:52:27 [WARNING|DP=0|PP=0|TP=0|ip-26-0-174-36]: Repo card metadata block was not found. Setting CardData to empty.
155
+ [default0]:07/03/2024 20:52:27 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: [Training Plan] There are 1 training stages
156
+ [default0]:07/03/2024 20:52:27 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: [Stage Training Stage] start from step 1
157
+ [default0]:07/03/2024 20:52:27 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]:
158
+ [default0]:07/03/2024 20:52:27 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: [Start training] datetime: 2024-07-03 20:52:27.785097 | mbs: 2 | grad_accum: 256 | global_batch_size: 1024 | sequence_length: 4096 | train_steps: 20 | start_iteration_step: 0 | consumed_train_samples: 0
159
+ [default0]:07/03/2024 20:52:27 [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
160
+ [default0]:07/03/2024 20:52:27 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Memory usage: 2142.76MiB. Peak allocated 2142.76MiB. Peak reserved: 2198.00MiB
161
+ [default1]:Repo card metadata block was not found. Setting CardData to empty.
162
+ [default2]:07/03/2024 20:52:27 [WARNING|DP=0|PP=0|TP=2|ip-26-0-174-36]: Repo card metadata block was not found. Setting CardData to empty.
163
+ [default1]:07/03/2024 20:52:27 [WARNING|DP=0|PP=0|TP=1|ip-26-0-174-36]: Repo card metadata block was not found. Setting CardData to empty.
164
+ [default3]:07/03/2024 20:52:27 [WARNING|DP=0|PP=0|TP=3|ip-26-0-174-36]: Repo card metadata block was not found. Setting CardData to empty.
165
+ [default3]:Repo card metadata block was not found. Setting CardData to empty.
166
+ [default2]:Repo card metadata block was not found. Setting CardData to empty.
167
+ [default5]:Repo card metadata block was not found. Setting CardData to empty.
168
+ [default7]:07/03/2024 20:52:27 [WARNING|DP=1|PP=0|TP=3|ip-26-0-174-36]: Repo card metadata block was not found. Setting CardData to empty.
169
+ [default7]:Repo card metadata block was not found. Setting CardData to empty.
170
+ [default4]:07/03/2024 20:52:27 [WARNING|DP=1|PP=0|TP=0|ip-26-0-174-36]: Repo card metadata block was not found. Setting CardData to empty.
171
+ [default5]:07/03/2024 20:52:27 [WARNING|DP=1|PP=0|TP=1|ip-26-0-174-36]: Repo card metadata block was not found. Setting CardData to empty.
172
+ [default6]:07/03/2024 20:52:27 [WARNING|DP=1|PP=0|TP=2|ip-26-0-174-36]: Repo card metadata block was not found. Setting CardData to empty.
173
+ [default4]:Repo card metadata block was not found. Setting CardData to empty.
174
+ [default6]:Repo card metadata block was not found. Setting CardData to empty.
175
+ [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.)
176
+ [default1]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
177
+ [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.)
178
+ [default0]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
179
+ [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.)
180
+ [default3]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
181
+ [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.)
182
+ [default2]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
183
+ [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.)
184
+ [default5]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
185
+ [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.)
186
+ [default6]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
187
+ [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.)
188
+ [default4]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
189
+ [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.)
190
+ [default7]: return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
191
+ [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
192
+ [default3]: warnings.warn(
193
+ [default0]:07/03/2024 20:53:12 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Memory usage: 2219.02MiB. Peak allocated 7851.18MiB. Peak reserved: 8530.00MiB
194
+ [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
195
+ [default0]: warnings.warn(
196
+ [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
197
+ [default1]: warnings.warn(
198
+ [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
199
+ [default2]: warnings.warn(
200
+ [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
201
+ [default6]: warnings.warn(
202
+ [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
203
+ [default5]: warnings.warn(
204
+ [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
205
+ [default4]: warnings.warn(
206
+ [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
207
+ [default7]: warnings.warn(
208
+ [default0]:07/03/2024 20:53:13 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: iteration: 1 / 20 | consumed_tokens: 4.19M | elapsed_time_per_iteration_ms: 46K | tokens_per_sec: 91.3K | tokens_per_sec_per_gpu: 11.4K | global_batch_size: 1.02K | lm_loss: 11.4 | lr: 0.0001 | model_tflops_per_gpu: 104 | hardware_tflops_per_gpu: 104 | grad_norm: 20.6 | cuda_memory_allocated: 3.44G | cuda_max_memory_reserved: 9.5G | hd_total_memory_tb: 312G | hd_used_memory_tb: 65.8G | hd_free_memory_tb: 246G
209
+ [default0]:07/03/2024 20:53:13 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Memory usage: 3277.64MiB. Peak allocated 4601.55MiB. Peak reserved: 9060.00MiB
210
+ [default0]:07/03/2024 20:53:48 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Memory usage: 3277.77MiB. Peak allocated 8910.84MiB. Peak reserved: 9456.00MiB
211
+ [default0]:07/03/2024 20:53:49 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: iteration: 2 / 20 | consumed_tokens: 8.39M | elapsed_time_per_iteration_ms: 35.3K | tokens_per_sec: 119K | tokens_per_sec_per_gpu: 14.8K | global_batch_size: 1.02K | lm_loss: 11.4 | lr: 9.53e-05 | model_tflops_per_gpu: 135 | hardware_tflops_per_gpu: 135 | grad_norm: 20.7 | cuda_memory_allocated: 3.44G | cuda_max_memory_reserved: 9.92G | hd_total_memory_tb: 312G | hd_used_memory_tb: 65.8G | hd_free_memory_tb: 246G
212
+ [default0]:07/03/2024 20:53:49 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Memory usage: 3277.64MiB. Peak allocated 4601.68MiB. Peak reserved: 9456.00MiB
213
+ [default0]:07/03/2024 20:54:29 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Memory usage: 3277.77MiB. Peak allocated 8910.84MiB. Peak reserved: 9456.00MiB
214
+ [default0]:07/03/2024 20:54:29 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: iteration: 3 / 20 | consumed_tokens: 12.6M | elapsed_time_per_iteration_ms: 40.7K | tokens_per_sec: 103K | tokens_per_sec_per_gpu: 12.9K | global_batch_size: 1.02K | lm_loss: 11.6 | lr: 9.05e-05 | model_tflops_per_gpu: 117 | hardware_tflops_per_gpu: 117 | grad_norm: 195 | cuda_memory_allocated: 3.44G | cuda_max_memory_reserved: 9.92G | hd_total_memory_tb: 312G | hd_used_memory_tb: 65.8G | hd_free_memory_tb: 246G
215
+ [default0]:07/03/2024 20:54:29 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Memory usage: 3277.64MiB. Peak allocated 4601.68MiB. Peak reserved: 9456.00MiB
216
+ [default0]:STAGE:2024-07-03 20:54:29 215133:215133 ActivityProfilerController.cpp:314] Completed Stage: Warm Up
217
+ [default0]:07/03/2024 20:55:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Memory usage: 3277.77MiB. Peak allocated 8910.84MiB. Peak reserved: 9456.00MiB
218
+ [default0]:07/03/2024 20:55:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: iteration: 4 / 20 | consumed_tokens: 16.8M | elapsed_time_per_iteration_ms: 54.1K | tokens_per_sec: 77.6K | tokens_per_sec_per_gpu: 9.7K | global_batch_size: 1.02K | lm_loss: 13.6 | lr: 8.58e-05 | model_tflops_per_gpu: 88 | hardware_tflops_per_gpu: 88 | grad_norm: 28.1 | cuda_memory_allocated: 3.44G | cuda_max_memory_reserved: 9.92G | hd_total_memory_tb: 312G | hd_used_memory_tb: 65.8G | hd_free_memory_tb: 246G
219
+ [default0]:07/03/2024 20:55:23 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Memory usage: 3277.64MiB. Peak allocated 4601.68MiB. Peak reserved: 9456.00MiB
220
+ [default0]:07/03/2024 20:56:18 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: iteration: 5 / 20 | consumed_tokens: 21M | elapsed_time_per_iteration_ms: 54.3K | tokens_per_sec: 77.3K | tokens_per_sec_per_gpu: 9.66K | global_batch_size: 1.02K | lm_loss: 12 | lr: 8.11e-05 | model_tflops_per_gpu: 87.6 | hardware_tflops_per_gpu: 87.6 | grad_norm: 48.8
221
+ [default0]:07/03/2024 20:56:18 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: Memory usage: 3277.64MiB. Peak allocated 8910.84MiB. Peak reserved: 9456.00MiB
222
+ [default0]:07/03/2024 20:57:12 [INFO|DP=0|PP=0|TP=0|ip-26-0-174-36]: iteration: 6 / 20 | consumed_tokens: 25.2M | elapsed_time_per_iteration_ms: 54.3K | tokens_per_sec: 77.3K | tokens_per_sec_per_gpu: 9.66K | global_batch_size: 1.02K | lm_loss: 10.9 | lr: 7.63e-05 | model_tflops_per_gpu: 87.6 | hardware_tflops_per_gpu: 87.6 | grad_norm: 19.7
223
+ [default0]:STAGE:2024-07-03 20:59:40 215133:215133 ActivityProfilerController.cpp:320] Completed Stage: Collection
224
+ [default0]:STAGE:2024-07-03 20:59:55 215133:215133 ActivityProfilerController.cpp:324] Completed Stage: Post Processing
225
+ [default1]:[rank1]:[E ProcessGroupNCCL.cpp:563] [Rank 1] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=305728, OpType=_REDUCE_SCATTER_BASE, NumelIn=16777216, NumelOut=4194304, Timeout(ms)=600000) ran for 600078 milliseconds before timing out.
226
+ [default2]:[rank2]:[E ProcessGroupNCCL.cpp:563] [Rank 2] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=305728, OpType=_REDUCE_SCATTER_BASE, NumelIn=16777216, NumelOut=4194304, Timeout(ms)=600000) ran for 600019 milliseconds before timing out.
227
+ [default3]:[rank3]:[E ProcessGroupNCCL.cpp:563] [Rank 3] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=305728, OpType=_REDUCE_SCATTER_BASE, NumelIn=16777216, NumelOut=4194304, Timeout(ms)=600000) ran for 600083 milliseconds before timing out.
228
+ [default1]:[rank1]:[E ProcessGroupNCCL.cpp:1537] [PG 2 Rank 1] Timeout at NCCL work: 305728, last enqueued NCCL work: 305841, last completed NCCL work: 305727.
229
+ [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.
230
+ [default1]:[rank1]:[E ProcessGroupNCCL.cpp:583] [Rank 1] To avoid data inconsistency, we are taking the entire process down.
231
+ [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=305728, OpType=_REDUCE_SCATTER_BASE, NumelIn=16777216, NumelOut=4194304, Timeout(ms)=600000) ran for 600078 milliseconds before timing out.
232
+ [default1]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
233
+ [default1]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f02b2d66897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
234
+ [default1]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7f02b403fc62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
235
+ [default1]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7f02b4044a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
236
+ [default1]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7f02b4045dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
237
+ [default1]:frame #4: <unknown function> + 0xd3e95 (0x7f02ffadee95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
238
+ [default1]:frame #5: <unknown function> + 0x8609 (0x7f0304b25609 in /lib/x86_64-linux-gnu/libpthread.so.0)
239
+ [default1]:frame #6: clone + 0x43 (0x7f03048f0353 in /lib/x86_64-linux-gnu/libc.so.6)
240
+ [default1]:
241
+ [default1]:terminate called after throwing an instance of 'c10::DistBackendError'
242
+ [default1]: what(): [PG 2 Rank 1] Process group watchdog thread terminated with exception: [Rank 1] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=305728, OpType=_REDUCE_SCATTER_BASE, NumelIn=16777216, NumelOut=4194304, Timeout(ms)=600000) ran for 600078 milliseconds before timing out.
243
+ [default1]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
244
+ [default1]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f02b2d66897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
245
+ [default1]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7f02b403fc62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
246
+ [default1]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7f02b4044a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
247
+ [default1]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7f02b4045dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
248
+ [default1]:frame #4: <unknown function> + 0xd3e95 (0x7f02ffadee95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
249
+ [default1]:frame #5: <unknown function> + 0x8609 (0x7f0304b25609 in /lib/x86_64-linux-gnu/libpthread.so.0)
250
+ [default1]:frame #6: clone + 0x43 (0x7f03048f0353 in /lib/x86_64-linux-gnu/libc.so.6)
251
+ [default1]:
252
+ [default1]:Exception raised from ncclCommWatchdog at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1418 (most recent call first):
253
+ [default1]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f02b2d66897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
254
+ [default1]:frame #1: <unknown function> + 0xe32119 (0x7f02b3cc9119 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
255
+ [default1]:frame #2: <unknown function> + 0xd3e95 (0x7f02ffadee95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
256
+ [default1]:frame #3: <unknown function> + 0x8609 (0x7f0304b25609 in /lib/x86_64-linux-gnu/libpthread.so.0)
257
+ [default1]:frame #4: clone + 0x43 (0x7f03048f0353 in /lib/x86_64-linux-gnu/libc.so.6)
258
+ [default1]:
259
+ [default2]:[rank2]:[E ProcessGroupNCCL.cpp:1537] [PG 2 Rank 2] Timeout at NCCL work: 305728, last enqueued NCCL work: 305841, last completed NCCL work: 305727.
260
+ [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.
261
+ [default2]:[rank2]:[E ProcessGroupNCCL.cpp:583] [Rank 2] To avoid data inconsistency, we are taking the entire process down.
262
+ [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=305728, OpType=_REDUCE_SCATTER_BASE, NumelIn=16777216, NumelOut=4194304, Timeout(ms)=600000) ran for 600019 milliseconds before timing out.
263
+ [default2]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
264
+ [default2]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fdcf73d7897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
265
+ [default2]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7fdcf86b0c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
266
+ [default2]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7fdcf86b5a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
267
+ [default2]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7fdcf86b6dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
268
+ [default2]:frame #4: <unknown function> + 0xd3e95 (0x7fdd4414fe95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
269
+ [default2]:frame #5: <unknown function> + 0x8609 (0x7fdd49196609 in /lib/x86_64-linux-gnu/libpthread.so.0)
270
+ [default2]:frame #6: clone + 0x43 (0x7fdd48f61353 in /lib/x86_64-linux-gnu/libc.so.6)
271
+ [default2]:
272
+ [default2]:terminate called after throwing an instance of 'c10::DistBackendError'
273
+ [default2]: what(): [PG 2 Rank 2] Process group watchdog thread terminated with exception: [Rank 2] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=305728, OpType=_REDUCE_SCATTER_BASE, NumelIn=16777216, NumelOut=4194304, Timeout(ms)=600000) ran for 600019 milliseconds before timing out.
274
+ [default2]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
275
+ [default2]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fdcf73d7897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
276
+ [default2]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7fdcf86b0c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
277
+ [default2]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7fdcf86b5a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
278
+ [default2]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7fdcf86b6dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
279
+ [default2]:frame #4: <unknown function> + 0xd3e95 (0x7fdd4414fe95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
280
+ [default2]:frame #5: <unknown function> + 0x8609 (0x7fdd49196609 in /lib/x86_64-linux-gnu/libpthread.so.0)
281
+ [default2]:frame #6: clone + 0x43 (0x7fdd48f61353 in /lib/x86_64-linux-gnu/libc.so.6)
282
+ [default2]:
283
+ [default2]:Exception raised from ncclCommWatchdog at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1418 (most recent call first):
284
+ [default2]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fdcf73d7897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
285
+ [default2]:frame #1: <unknown function> + 0xe32119 (0x7fdcf833a119 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
286
+ [default2]:frame #2: <unknown function> + 0xd3e95 (0x7fdd4414fe95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
287
+ [default2]:frame #3: <unknown function> + 0x8609 (0x7fdd49196609 in /lib/x86_64-linux-gnu/libpthread.so.0)
288
+ [default2]:frame #4: clone + 0x43 (0x7fdd48f61353 in /lib/x86_64-linux-gnu/libc.so.6)
289
+ [default2]:
290
+ [default3]:[rank3]:[E ProcessGroupNCCL.cpp:1537] [PG 2 Rank 3] Timeout at NCCL work: 305728, last enqueued NCCL work: 305841, last completed NCCL work: 305727.
291
+ [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.
292
+ [default3]:[rank3]:[E ProcessGroupNCCL.cpp:583] [Rank 3] To avoid data inconsistency, we are taking the entire process down.
293
+ [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=305728, OpType=_REDUCE_SCATTER_BASE, NumelIn=16777216, NumelOut=4194304, Timeout(ms)=600000) ran for 600083 milliseconds before timing out.
294
+ [default3]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
295
+ [default3]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f1ee4da9897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
296
+ [default3]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7f1ee6082c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
297
+ [default3]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7f1ee6087a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
298
+ [default3]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7f1ee6088dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
299
+ [default3]:frame #4: <unknown function> + 0xd3e95 (0x7f1f31b21e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
300
+ [default3]:frame #5: <unknown function> + 0x8609 (0x7f1f36b68609 in /lib/x86_64-linux-gnu/libpthread.so.0)
301
+ [default3]:frame #6: clone + 0x43 (0x7f1f36933353 in /lib/x86_64-linux-gnu/libc.so.6)
302
+ [default3]:
303
+ [default3]:terminate called after throwing an instance of 'c10::DistBackendError'
304
+ [default3]: what(): [PG 2 Rank 3] Process group watchdog thread terminated with exception: [Rank 3] Watchdog caught collective operation timeout: WorkNCCL(SeqNum=305728, OpType=_REDUCE_SCATTER_BASE, NumelIn=16777216, NumelOut=4194304, Timeout(ms)=600000) ran for 600083 milliseconds before timing out.
305
+ [default3]:Exception raised from checkTimeout at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:565 (most recent call first):
306
+ [default3]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f1ee4da9897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
307
+ [default3]:frame #1: c10d::ProcessGroupNCCL::WorkNCCL::checkTimeout(std::optional<std::chrono::duration<long, std::ratio<1l, 1000l> > >) + 0x1d2 (0x7f1ee6082c62 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
308
+ [default3]:frame #2: c10d::ProcessGroupNCCL::watchdogHandler() + 0x1a0 (0x7f1ee6087a80 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
309
+ [default3]:frame #3: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x10c (0x7f1ee6088dcc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
310
+ [default3]:frame #4: <unknown function> + 0xd3e95 (0x7f1f31b21e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
311
+ [default3]:frame #5: <unknown function> + 0x8609 (0x7f1f36b68609 in /lib/x86_64-linux-gnu/libpthread.so.0)
312
+ [default3]:frame #6: clone + 0x43 (0x7f1f36933353 in /lib/x86_64-linux-gnu/libc.so.6)
313
+ [default3]:
314
+ [default3]:Exception raised from ncclCommWatchdog at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1418 (most recent call first):
315
+ [default3]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f1ee4da9897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
316
+ [default3]:frame #1: <unknown function> + 0xe32119 (0x7f1ee5d0c119 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
317
+ [default3]:frame #2: <unknown function> + 0xd3e95 (0x7f1f31b21e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
318
+ [default3]:frame #3: <unknown function> + 0x8609 (0x7f1f36b68609 in /lib/x86_64-linux-gnu/libpthread.so.0)
319
+ [default3]:frame #4: clone + 0x43 (0x7f1f36933353 in /lib/x86_64-linux-gnu/libc.so.6)
320
+ [default3]:
321
+ W0703 21:07:45.706000 139757201868608 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 215133 closing signal SIGTERM
322
+ W0703 21:07:45.706000 139757201868608 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 215137 closing signal SIGTERM
323
+ W0703 21:07:45.706000 139757201868608 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 215138 closing signal SIGTERM
324
+ W0703 21:07:45.707000 139757201868608 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 215139 closing signal SIGTERM
325
+ W0703 21:07:45.708000 139757201868608 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 215140 closing signal SIGTERM
326
+ E0703 21:07:51.736000 139757201868608 torch/distributed/elastic/multiprocessing/api.py:826] failed (exitcode: -6) local_rank: 1 (pid: 215134) of binary: /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10
327
+ Traceback (most recent call last):
328
+ File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/torchrun", line 8, in <module>
329
+ sys.exit(main())
330
+ File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 347, in wrapper
331
+ return f(*args, **kwargs)
332
+ File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 879, in main
333
+ run(args)
334
+ File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 870, in run
335
+ elastic_launch(
336
+ File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 132, in __call__
337
+ return launch_agent(self._config, self._entrypoint, list(args))
338
+ File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 263, in launch_agent
339
+ raise ChildFailedError(
340
+ torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
341
+ ============================================================
342
+ /fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py FAILED
343
+ ------------------------------------------------------------
344
+ Failures:
345
+ [1]:
346
+ time : 2024-07-03_21:07:45
347
+ host : ip-26-0-174-36.ec2.internal
348
+ rank : 2 (local_rank: 2)
349
+ exitcode : -6 (pid: 215135)
350
+ error_file: <N/A>
351
+ traceback : Signal 6 (SIGABRT) received by PID 215135
352
+ [2]:
353
+ time : 2024-07-03_21:07:45
354
+ host : ip-26-0-174-36.ec2.internal
355
+ rank : 3 (local_rank: 3)
356
+ exitcode : -6 (pid: 215136)
357
+ error_file: <N/A>
358
+ traceback : Signal 6 (SIGABRT) received by PID 215136
359
+ ------------------------------------------------------------
360
+ Root Cause (first observed failure):
361
+ [0]:
362
+ time : 2024-07-03_21:07:45
363
+ host : ip-26-0-174-36.ec2.internal
364
+ rank : 1 (local_rank: 1)
365
+ exitcode : -6 (pid: 215134)
366
+ error_file: <N/A>
367
+ traceback : Signal 6 (SIGABRT) received by PID 215134
368
+ ============================================================
369
+ srun: error: ip-26-0-174-36: task 0: Exited with exit code 1
370
+ 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-2_tp-4_pp-1_mbz-2/status.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ timeout