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0161e74 | 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 43 44 45 46 47 48 49 50 51 52 53 54 | #!/bin/sh
#PJM -L rscgrp=b-batch
#PJM -L gpu=4
#PJM -L elapse=24:00:00
#PJM -N baseline_ccfm
#PJM -j
#PJM -o logs/baseline_ccfm_%j.out
module load cuda/12.2.2
module load cudnn/8.9.7
module load gcc-toolset/12
source /home/hp250092/ku50001222/qian/aivc/lfj/ori_scDFM_env/bin/activate
cd /home/hp250092/ku50001222/qian/aivc/lfj/transfer/code/ori_scDFM
export PYTHONPATH=./
export PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:256
echo "=========================================="
echo "Job ID: $PJM_JOBID"
echo "Job Name: $PJM_JOBNAME"
echo "Start: $(date)"
echo "Node: $(hostname)"
echo "GPU: $(nvidia-smi --query-gpu=name,memory.total --format=csv,noheader 2>/dev/null || echo 'N/A')"
echo "Run: baseline_ccfm_aligned (topk=15, no negative edge)"
echo "=========================================="
accelerate launch --num_processes=4 src/script/run.py \
--batch_size=48 \
--model_type=origin \
--lr=5e-5 \
--steps=200000 \
--data_name=norman \
--d_model=128 \
--eta_min=1e-6 \
--fusion_method=differential_perceiver \
--infer_top_gene=1000 \
--n_top_genes=5000 \
--perturbation_function=crisper \
--noise_type=Gaussian \
--mode=predict_y \
--gamma=0.5 \
--split_method=additive \
--use_mmd_loss \
--fold=1 \
--print_every=10000 \
--topk=15 \
--result_path=./result/baseline_ccfm_aligned
echo "=========================================="
echo "Finished: $(date)"
echo "=========================================="
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