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#PJM -L rscgrp=b-batch
#PJM -L gpu=1
#PJM -L elapse=3:00:00
#PJM -N eval_baseline
#PJM -j
#PJM -o logs/eval_baseline_%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
CKPT="/home/hp250092/ku50001222/qian/aivc/lfj/transfer/CCFM_result/flow-fusion_differential_perceiver-norman-origin-predict_y-gamma_0.5-perturbation_function_crisper-lr_5e-05-dim_model_128-infer_top_gene_1000-split_method_additive-use_mmd_loss_True-fold_1-use_negative_edge_True-topk_30/iteration_100000/checkpoint.pt"
echo "=========================================="
echo "Job ID: $PJM_JOBID"
echo "Job Name: $PJM_JOBNAME"
echo "Start: $(date)"
echo "Node: $(hostname)"
echo "GPU: $(nvidia-smi --query-gpu=name,memory.total --format=csv,noheader 2>/dev/null || echo 'N/A')"
echo "Eval: Baseline (ori_scDFM) iteration_100000"
echo "=========================================="
python src/script/run.py \
--batch_size=48 \
--devices='0' \
--model_type=origin \
--lr=5e-5 \
--steps=200000 \
--data_name=norman \
--d_model=128 \
--eta_min=1e-6 \
--fusion_method=differential_perceiver \
--infer_top_gene=1000 \
--n_top_genes=5000 \
--perturbation_function=crisper \
--noise_type=Gaussian \
--mode=predict_y \
--gamma=0.5 \
--split_method=additive \
--use_mmd_loss \
--fold=1 \
--topk=30 \
--use_negative_edge \
--print_every=10000 \
--result_path=/home/hp250092/ku50001222/qian/aivc/lfj/transfer/CCFM_result \
--checkpoint_path="$CKPT" \
--test_only
echo "=========================================="
echo "Finished: $(date)"
echo "=========================================="
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