Delete run.sh

run.sh

@@ -1,24 +0,0 @@
-#!/bin/bash
-#SBATCH --job-name=frozenseg
-#SBATCH --output=output/slurm/%j.run.out
-#SBATCH --error=output/slurm/%j.run.err
-#SBATCH --partition=gpu-a100
-#SBATCH --gres=gpu:4
-#SBATCH --cpus-per-task=64
-#SBATCH --comment=yhx_team
-export MODULEPATH="/opt/app/spack/share/spack/modules/linux-centos7-haswell:/opt/app/spack/share/spack/modules/linux-centos7-cascadelake:/usr/share/Modules/modulefiles:/etc/modulefiles:/opt/app/modulefiles"
-source /users/cx_xchen/.bashrc_12.1 
-export DETECTRON2_DATASETS=/users/cx_xchen/DATASETS/
-export TORCH_DISTRIBUTED_DEBUG=DETAIL
-conda activate frozenseg
-
-port=$((10000 + RANDOM % 50000))
-sam=vit_b
-path=output/ConvNext-L_${sam}_1x
-python train_net.py --num-gpus 4 --dist-url tcp://127.0.0.1:$port \
-  --config-file configs/coco/frozenseg/convnext_large_eval_ade20k.yaml \
-  OUTPUT_DIR  $path \
-  MODEL.MASK_FORMER.SAM_QUERY_FUSE_LAYER 2 \
-  MODEL.MASK_FORMER.SAM_FEATURE_FUSE_LAYER 0 \
-  MODEL.SAM_NAME $sam \
-  MODEL.FROZEN_SEG.CLIP_PRETRAINED_WEIGHTS pretrained_checkpoint/models--laion--CLIP-convnext_large_d_320.laion2B-s29B-b131K-ft-soup/open_clip_pytorch_model.bin