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1d6f391 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | #!/bin/bash
#SBATCH --job-name=probe8_disease
#SBATCH --partition=nova
#SBATCH --gres=gpu:a100:1
#SBATCH --cpus-per-task=8
#SBATCH --mem=64G
#SBATCH --time=02:00:00
#SBATCH --output=bert_v6_contrastive/scripts/probe8_%j.out
#SBATCH --error=bert_v6_contrastive/scripts/probe8_%j.err
echo "========================================"
echo "Probe 8: Disease/Tissue Embedding Analysis"
echo "Job ID: $SLURM_JOB_ID"
echo "Node: $(hostname)"
echo "Start: $(date)"
echo "========================================"
source /work/ratul1/supantha/miniconda3/etc/profile.d/conda.sh
conda activate blade
cd /work/ratul1/supantha/glycan-SD-VS/bert_training_v3/v3.1_cluster_training
echo "Python: $(which python3)"
nvidia-smi --query-gpu=name,memory.total --format=csv,noheader 2>/dev/null || echo "No GPU"
ls -lh bert_v6_contrastive/analysis/probe8_disease_tissue_data.csv || { echo "ERROR: Data file missing"; exit 1; }
pip install -q scikit-learn umap-learn 2>/dev/null
echo ""
echo "========== V5-A (MLM-only) =========="
python3 -u bert_v6_contrastive/scripts/probe_8_disease_tissue.py --model v5 --device cuda
echo ""
echo "========== V6 (MLM+SimCLR) =========="
python3 -u bert_v6_contrastive/scripts/probe_8_disease_tissue.py --model v6 --device cuda
echo ""
echo "Completed: $(date)"
ls -la bert_v6_contrastive/analysis/probe8_disease_tissue_v5/ 2>/dev/null
ls -la bert_v6_contrastive/analysis/probe8_disease_tissue_v6/ 2>/dev/null
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