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slurm submission log: 2024-05-24 11:42:10.904769 |
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created following sbatch script: |
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############################### |
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#!/bin/bash |
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#SBATCH --account=nlp |
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#SBATCH --cpus-per-task=16 |
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#SBATCH --dependency=afterok:7648449 |
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#SBATCH --gres=gpu:1 |
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#SBATCH --job-name=tthrush-job-2437039 |
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#SBATCH --mem=60G |
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#SBATCH --nodelist=sphinx1 |
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#SBATCH --open-mode=append |
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#SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_constrained_initial_init_min_threshold/llms/pythia-70m_sciq_1/eval_job_output.txt |
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#SBATCH --partition=sphinx |
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#SBATCH --time=14-0 |
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# activate your desired anaconda environment |
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. /nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/etc/profile.d/conda.sh ; conda activate pretraining-coreset-selection |
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# cd to working directory |
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cd . |
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# launch commands |
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srun --unbuffered run_as_child_processes 'lm_eval --model hf --model_args pretrained=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_constrained_initial_init_min_threshold/llms/pythia-70m_sciq_1,revision=main,dtype=float16,trust_remote_code=True --tasks xnli_en,xnli_fr,sciq,piqa,lambada,arc_easy --device cuda --output_path /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_constrained_initial_init_min_threshold/llms/pythia-70m_sciq_1/perf' |
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############################### |
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submission to slurm complete! |
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############################### |
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slurm submission output |
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Submitted batch job 7648450 |
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############################### |
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/var/lib/slurm/slurmd/job7648450/slurm_script: line 16: /nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/etc/profile.d/conda.sh: No such file or directory |
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CommandNotFoundError: Your shell has not been properly configured to use 'conda activate'. |
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To initialize your shell, run |
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$ conda init <SHELL_NAME> |
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Currently supported shells are: |
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- bash |
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- fish |
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- tcsh |
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- xonsh |
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- zsh |
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- powershell |
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See 'conda init --help' for more information and options. |
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IMPORTANT: You may need to close and restart your shell after running 'conda init'. |
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############################### |
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start time: 2024-05-24 11:44:53.492934 |
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machine: sphinx1 |
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conda env: pretraining-coreset-selection |
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############################### |
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running following processes |
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lm_eval --model hf --model_args pretrained=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_constrained_initial_init_min_threshold/llms/pythia-70m_sciq_1,revision=main,dtype=float16,trust_remote_code=True --tasks xnli_en,xnli_fr,sciq,piqa,lambada,arc_easy --device cuda --output_path /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_constrained_initial_init_min_threshold/llms/pythia-70m_sciq_1/perf |
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############################### |
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command outputs: |
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2024-05-24:11:44:56,229 INFO [utils.py:145] Note: detected 255 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable. |
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2024-05-24:11:44:56,229 INFO [utils.py:148] Note: NumExpr detected 255 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 8. |
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2024-05-24:11:44:56,229 INFO [utils.py:160] NumExpr defaulting to 8 threads. |
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2024-05-24:11:44:56,591 INFO [config.py:58] PyTorch version 2.2.2 available. |
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2024-05-24:11:45:00,567 INFO [__main__.py:156] Verbosity set to INFO |
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2024-05-24:11:45:07,210 WARNING [__init__.py:194] Some tasks could not be loaded due to missing dependencies. Run with `--verbosity DEBUG` for full details. |
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srun: Job step aborted: Waiting up to 32 seconds for job step to finish. |
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slurmstepd: error: *** JOB 7648450 ON sphinx1 CANCELLED AT 2024-05-24T11:45:39 *** |
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slurmstepd: error: *** STEP 7648450.0 ON sphinx1 CANCELLED AT 2024-05-24T11:45:39 *** |
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Received SIGTERM, job terminating, terminating 1 processes... |
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slurm submission log: 2024-05-24 11:46:16.500701 |
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created following sbatch script: |
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############################### |
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#!/bin/bash |
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#SBATCH --account=nlp |
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#SBATCH --cpus-per-task=16 |
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#SBATCH --dependency=afterok:7648481 |
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#SBATCH --gres=gpu:1 |
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#SBATCH --job-name=tthrush-job-372659 |
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#SBATCH --mem=60G |
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#SBATCH --nodelist=sphinx1 |
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#SBATCH --open-mode=append |
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#SBATCH --output=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_constrained_initial_init_min_threshold/llms/pythia-70m_sciq_1/eval_job_output.txt |
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#SBATCH --partition=sphinx |
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#SBATCH --time=14-0 |
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# activate your desired anaconda environment |
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. /nlp/scr/tthrush/miniconda3/envs/pretraining-coreset-selection/etc/profile.d/conda.sh ; conda activate pretraining-coreset-selection |
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# cd to working directory |
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cd . |
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# launch commands |
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srun --unbuffered run_as_child_processes 'lm_eval --model hf --model_args pretrained=/juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_constrained_initial_init_min_threshold/llms/pythia-70m_sciq_1,revision=main,dtype=float16,trust_remote_code=True --tasks xnli_en,xnli_fr,sciq,piqa,lambada,arc_easy --device cuda --output_path /juice5/scr5/tthrush/pretraining-coreset-selection/llm_pretraining/test_ordinal_constrained_initial_init_min_threshold/llms/pythia-70m_sciq_1/perf' |
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############################### |
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submission to slurm complete! |
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############################### |
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slurm submission output |
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Submitted batch job 7648482 |
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############################### |
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