Download code/train.sbatch from laion/Humaneness-Voice-Small: direct link, hf CLI and curl.
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- Download file 1.74 kB
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https://huggingface.co/laion/Humaneness-Voice-Small/resolve/main/code/train.sbatch
- Command line
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hf download hf://laion/Humaneness-Voice-Small/code/train.sbatch
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curl -L -o train.sbatch https://huggingface.co/laion/Humaneness-Voice-Small/resolve/main/code/train.sbatch
1.74 kB
| #!/bin/bash | |
| #SBATCH --account=reformo | |
| #SBATCH --partition=booster | |
| #SBATCH --nodes=1 | |
| #SBATCH --gres=gpu:4 | |
| #SBATCH --ntasks-per-node=4 | |
| #SBATCH --cpus-per-task=16 | |
| #SBATCH --time=01:00:00 | |
| #SBATCH --job-name=m2-cont-large-smoke | |
| #SBATCH --output=/e/scratch/reformo/schuhmann1_moss/out/m2_600m_ladder/logs/continuous_large_%j.out | |
| #SBATCH --error=/e/scratch/reformo/schuhmann1_moss/out/m2_600m_ladder/logs/continuous_large_%j.err | |
| set -euo pipefail | |
| PLAN=$(realpath "$1") | |
| SC=/e/scratch/reformo/schuhmann1_moss | |
| CODE=/e/home/jusers/schuhmann1/jupiter/m2_600m_tts_training/continuous_large_talker_v1 | |
| source "$SC/code/fastgen.sh" | |
| export HF_HOME="$SC/hfcache" | |
| export HF_HUB_OFFLINE=1 TRANSFORMERS_OFFLINE=1 TOKENIZERS_PARALLELISM=false | |
| export PYTHONPATH="$CODE:/e/home/jusers/schuhmann1/jupiter/m2_600m_tts_training/cascade_v3_timed:$SC/code/small_tts:$SC/code/vc_env_pkgs:$PYTHONPATH" | |
| export OMP_NUM_THREADS=4 PYTHONUNBUFFERED=1 PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True | |
| export MASTER_ADDR=$(scontrol show hostnames "$SLURM_JOB_NODELIST" | head -n 1) | |
| export MASTER_PORT=$((21000 + SLURM_JOB_ID % 19000)) | |
| export M2_INVOCATION_SUFFIX="${SLURM_RESTART_COUNT:-}" | |
| export M2_CONTINUOUS_PLAN="$PLAN" | |
| WORLD=$(python3 -c 'import json,sys; print(json.load(open(sys.argv[1]))["world_size"])' "$PLAN") | |
| RANKS_PER_NODE=$(python3 -c 'import json,sys; print(json.load(open(sys.argv[1]))["ranks_per_node"])' "$PLAN") | |
| srun --ntasks="$WORLD" --ntasks-per-node="$RANKS_PER_NODE" --gpus-per-task=1 \ | |
| --kill-on-bad-exit=1 --cpu-bind=none bash -c ' | |
| cd /e/home/jusers/schuhmann1/jupiter/m2_600m_tts_training/continuous_large_talker_v1 | |
| python3 -u continuous_train.py "$M2_CONTINUOUS_PLAN" | |
| RC=$? | |
| echo "M2_CONTINUOUS_TASK RANK=$SLURM_PROCID EXIT=$RC" | |
| exit $RC | |
| ' | |