File size: 1,620 Bytes
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 55 56 57 58 59 | #!/bin/bash
#PJM -L rscgrp=b-batch
#PJM -L gpu=1
#PJM -L elapse=24:00:00
#PJM -N ccfm_1gpu_cached
#PJM -j
#PJM -o logs/ccfm_1gpu_cached_%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/stack_env/bin/activate
cd /home/hp250092/ku50001222/qian/aivc/lfj/transfer/code/CCFM
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: CCFM 1GPU cached scGPT"
echo "=========================================="
accelerate launch --num_processes=1 scripts/run_cascaded.py \
--data-name norman \
--d-model 128 \
--nhead 8 \
--nlayers 4 \
--batch-size 48 \
--lr 5e-5 \
--steps 200000 \
--fusion-method differential_perceiver \
--perturbation-function crisper \
--noise-type Gaussian \
--infer-top-gene 1000 \
--n-top-genes 5000 \
--use-mmd-loss \
--gamma 0.5 \
--split-method additive \
--fold 1 \
--scgpt-dim 512 \
--bottleneck-dim 128 \
--latent-weight 1.0 \
--choose-latent-p 0.4 \
--dh-depth 2 \
--print-every 5000 \
--topk 30 \
--use-negative-edge \
--scgpt-cache-path scgpt_cache_norman.h5 \
--result-path ./result_scgpt
echo "=========================================="
echo "Finished: $(date)"
echo "=========================================="
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