facebookresearch--audiocraft
Alon Ziv
18 行
1008 B
Bash
18 行
1008 B
Bash
#!/bin/zsh
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#SBATCH --job-name=my_job_array
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#SBATCH --array=0-N # adjust the range of indices as needed
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#SBATCH --output=logs/%A_%a.out # output file name format, this assumes there exists a <root>/logs directory
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#SBATCH --error=logs/%A_%a.err # error file name format, this assumes there exists a <root>/logs directory
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#SBATCH --time=01:00:00 # adjust the time limit as needed
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#SBATCH --nodes=1 # adjust the number of nodes as needed
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#SBATCH --ntasks-per-node=1 # adjust the number of tasks per node as needed
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#SBATCH --cpus-per-task=8 # adjust the number of CPUs per task as needed
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#SBATCH --mem-per-cpu=16G # adjust the memory per CPU as needed
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# Load any necessary modules or dependencies
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conda activate your_env
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# run extraction of chords in job array
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python scripts/chords/extract_chords.py --src_jsonl_file /path/to/parsed/filepaths_${SLURM_ARRAY_TASK_ID}.jsonl --target_output_dir /target/directory/to/save/chords/to --path_to_pre_defined_map /path/to/predefined/chord_to_index_mapping.pkl
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