1 sudo dpkg -i google-chrome-stable_current_amd64.deb
2 echo 'export PATH="./anaconda3/bin:$PATH"'>> ~/.bashrc
3 source ~/.bashrc
4 conda
5 export PATH="./anaconda3/bin:$PATH
6 export PATH="./anaconda3/bin:$PATH"
7 conda
8 source ~/.bashrc
9 conda
10 conda
11 bash Anaconda3-2021.05-Linux-x86_64.sh
12 source ~/.bashrc
13 conda info
14 conda
15 eval "$(/home/dutxutengfei/anaconda3/bin/conda shell.YOUR_SHELL_NAME hook)"
16 apt-get list
17 bash Anaconda3-2021.05-Linux-x86_64.sh
18 conda
19 vim
20 sudo apt install vim
21 sudo vim ~/.bashrc
22 conda
23 pip
24 python
25 apt-get
26 apt-get updat
27 apt-get update
28 sudo apt-get update
29 conda
30 conda create -n open-mmlab python=3.8 -y
31 conda activate open-mmlab
32 conda init
33 conda
34 conda activate open-mmlab
35 pip install openmim
36 mim install mmdet
37 nvidia-smi
38 nvcc -V
39 sudo apt install nvidia-cuda-toolkit
40 nvidia-smi
41 nvcc
42 nvcc -V
43 sudo apt-get install git
44 nvidia-smi
45 sudo apt-get install git
46 sudo apt-get install dkms
47 nvidia-smi
48 sudo dkms install -m nvidia
49 nvidia-smi
50 sudo dkms install -m nvidia -v srv-418
51 sudo dlms install -m nvidia -v srv-418.197.02
52 sudo dkms install -m nvidia -v srv-418.197.02
53 sudo dkms install -m nvidia -v 418.197.02
54 sudo add-apt-repository ppa:fcitx-team/nightly // 添加FCITX仓库.
55 sudo add-apt-repository ppa:fcitx-team/nightly
56 sudo apt-get update
57 sudo apt-get install fcitx
58 mim install mmdet
59 conda activate open-mmlab
60 mim install mmdet
61 conda activate
62 conda list
63 conda info --env
64 conda activate open-mmlab
65 pip
66 mim
67 mim install mmdet
68 conda install pytorch torchvision -c pytorch
69 mim
70 mim install mmdet
71 nvidia-smi
72 nvcc
73 nvcc -n
74 sudo apt install nvidia-cuda-toolkit
75 sudo dpkg -i sogoupinyin_2.2.0.0108_amd64.deb
76 sudo dpkg -i sogoupinyin_2.4.0.3469_amd64.deb
77 sudo apt-get install -f
78 sudo dpkg -i sogoupinyin_2.4.0.3469_amd64.deb
79 apt-get
80 apt-get update
81 sudo apt-get update
82 sudo apt-get install -f
83 mim
84 conda activate open-mmlab在这里插入代码片
85 mim install mmdet
86 pip list
87 sudo dpkg -i code_1.58.0-1625728071_amd64.deb
88 source /home/dutxutengfei/anaconda3/bin/activate
89 conda activate open-mmlab
90 /home/dutxutengfei/anaconda3/envs/open-mmlab/bin/python /home/dutxutengfei/2021hwsz-baseline/baseline_released.py
91 PYTHONPATH='.':$PYTHONPATH mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8 --srun-args $SRUN_ARGS
92 conda activate open-mmlab
93 PYTHONPATH='.':$PYTHONPATH mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8 --srun-args $SRUN_ARGS
94 PYTHONPATH='.':$PYTHONPATH mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8
95 nvidia-smi
96 conda activate open-mmlab
97 pip list
98 git clone https://github.com/open-mmlab/mim-example.git
99 git clone https://github.com.cnpmjs.org/open-mmlab/mim-example.git
100 pip install timm # swin transformer relies timm
101 mim install mmsegmentation
102 pip show mmdet
103 pip show mim
104 pip show openmim
105 mim install -i
106 mim install -h
107 mim install -f https://github.com.cnpmjs.org/open-mmlab/mmsegmentation.git mmsegmentation
108 slurm
109 pip install slurm
110 nvidia-smi
111 source /home/dutxutengfei/anaconda3/bin/activate
112 conda activate open-mmlab
113 /home/dutxutengfei/anaconda3/envs/open-mmlab/bin/python /home/dutxutengfei/cv_projects/mim-example/swin_transformer/swin/swin_transformer.py
114 nvidia-smi
115 PYTHONPATH='.':$PYTHONPATH mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8
116 conda activate open-mmlab
117 PYTHONPATH='.':$PYTHONPATH mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8
118 pip list
119 nvcc
120 nvidia-smi
121 expr 3\*3
122 history
123 r 3\*3
124 expr 3*3
125 echo "ff"
126 # expr 3\*3
127 PYTHONPATH='.':$PYTHONPATH mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8 --srun-args $SRUN_ARGS
128 $!
129 echo $!
130 echo $$
131 echo $1
132 echo $0
133 echo 3\*3
134 expr
135 expr 3 3
136 expr 3*3
137 expr 3\*3
138 PYTHONPATH='.':$PYTHONPATH mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8 --srun-args $SRUN_ARGS
139 name="test"
140 echo $name
141 .
142 cd .
143 echo \=
144 echo $PARTITION
145 echo $SRUN_ARGS
146 mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py
147 PYTHONPATH='.':$PYTHONPATH mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8 --srun-args $SRUN_ARGS
148 PYTHONPATH='.':$PYTHONPATH mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8 --srun-args 0
149 mim install mmcv-full
150 mim list
151 pip install srun
152 mim install mmcls
153 mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py
154 mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --gpus 8
155 pip install swin
156 history
目前怀疑 是mmcv-full mmdet需要重新编译（因为重新下载了pytorch）
：
Traceback (most recent call last):
File "/home/dutxutengfei/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/mmdet/tools/train.py", line 188, in <module>
main()
File "/home/dutxutengfei/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/mmdet/tools/train.py", line 89, in main
cfg = Config.fromfile(args.config)
File "/home/dutxutengfei/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/mmcv/utils/config.py", line 318, in fromfile
import_modules_from_strings(**cfg_dict['custom_imports'])
File "/home/dutxutengfei/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/mmcv/utils/misc.py", line 80, in import_modules_from_strings
raise ImportError
ImportError
Traceback (most recent call last):
File "/home/dutxutengfei/anaconda3/envs/open-mmlab/bin/mim", line 8, in <module>
sys.exit(cli())
File "/home/dutxutengfei/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/click/core.py", line 829, in __call__
return self.main(*args, **kwargs)
File "/home/dutxutengfei/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/click/core.py", line 782, in main
rv = self.invoke(ctx)
File "/home/dutxutengfei/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/click/core.py", line 1259, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/home/dutxutengfei/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/click/core.py", line 1066, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/home/dutxutengfei/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/click/core.py", line 610, in invoke
return callback(*args, **kwargs)
File "/home/dutxutengfei/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/mim/commands/train.py", line 96, in cli
is_success, msg = train(
File "/home/dutxutengfei/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/mim/commands/train.py", line 236, in train
ret = subprocess.check_call(
File "/home/dutxutengfei/anaconda3/envs/open-mmlab/lib/python3.8/subprocess.py", line 364, in check_call
raise CalledProcessError(retcode, cmd)
subprocess.CalledProcessError: Command '['python', '/home/dutxutengfei/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/mmdet/tools/train.py', 'configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py', '--gpus', '8', '--launcher', 'none', '--work-dir', '../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py']' returned non-zero exit status 1.
官方给的命令里srun，partition部分好像没有用：
https://github.com/open-mmlab/mim/blob/73692e491a47807c0a335dc63deff42631bfb266/mim/commands/train.py
1 sudo dpkg -i google-chrome-stable_current_amd64.deb
2 echo 'export PATH="./anaconda3/bin:$PATH"'>> ~/.bashrc
3 source ~/.bashrc
4 conda
5 export PATH="./anaconda3/bin:$PATH
6 export PATH="./anaconda3/bin:$PATH"
7 conda
8 source ~/.bashrc
9 conda
10 conda
11 bash Anaconda3-2021.05-Linux-x86_64.sh
12 source ~/.bashrc
13 conda info
14 conda
15 eval "$(/home/dutxutengfei/anaconda3/bin/conda shell.YOUR_SHELL_NAME hook)"
16 apt-get list
17 bash Anaconda3-2021.05-Linux-x86_64.sh
18 conda
19 vim
20 sudo apt install vim
21 sudo vim ~/.bashrc
22 conda
23 pip
24 python
25 apt-get
26 apt-get updat
27 apt-get update
28 sudo apt-get update
29 conda
30 conda create -n open-mmlab python=3.8 -y
31 conda activate open-mmlab
32 conda init
33 conda
34 conda activate open-mmlab
35 pip install openmim
36 mim install mmdet
37 nvidia-smi
38 nvcc -V
39 sudo apt install nvidia-cuda-toolkit
40 nvidia-smi
41 nvcc
42 nvcc -V
43 sudo apt-get install git
44 nvidia-smi
45 sudo apt-get install git
46 sudo apt-get install dkms
47 nvidia-smi
48 sudo dkms install -m nvidia
49 nvidia-smi
50 sudo dkms install -m nvidia -v srv-418
51 sudo dlms install -m nvidia -v srv-418.197.02
52 sudo dkms install -m nvidia -v srv-418.197.02
53 sudo dkms install -m nvidia -v 418.197.02
54 sudo add-apt-repository ppa:fcitx-team/nightly // 添加FCITX仓库.
55 sudo add-apt-repository ppa:fcitx-team/nightly
56 sudo apt-get update
57 sudo apt-get install fcitx
58 mim install mmdet
59 conda activate open-mmlab
60 mim install mmdet
61 conda activate
62 conda list
63 conda info --env
64 conda activate open-mmlab
65 pip
66 mim
67 mim install mmdet
68 conda install pytorch torchvision -c pytorch
69 mim
70 mim install mmdet
71 nvidia-smi
72 nvcc
73 nvcc -n
74 sudo apt install nvidia-cuda-toolkit
75 sudo dpkg -i sogoupinyin_2.2.0.0108_amd64.deb
76 sudo dpkg -i sogoupinyin_2.4.0.3469_amd64.deb
77 sudo apt-get install -f
78 sudo dpkg -i sogoupinyin_2.4.0.3469_amd64.deb
79 apt-get
80 apt-get update
81 sudo apt-get update
82 sudo apt-get install -f
83 mim
84 conda activate open-mmlab
85 mim install mmdet
86 pip list
87 sudo dpkg -i code_1.58.0-1625728071_amd64.deb
88 source /home/dutxutengfei/anaconda3/bin/activate
89 conda activate open-mmlab
90 /home/dutxutengfei/anaconda3/envs/open-mmlab/bin/python /home/dutxutengfei/2021hwsz-baseline/baseline_released.py
91 PYTHONPATH='.':$PYTHONPATH mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8 --srun-args $SRUN_ARGS
92 conda activate open-mmlab
93 PYTHONPATH='.':$PYTHONPATH mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8 --srun-args $SRUN_ARGS
94 PYTHONPATH='.':$PYTHONPATH mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8
95 nvidia-smi
96 conda activate open-mmlab
97 pip list
98 git clone https://github.com/open-mmlab/mim-example.git
99 git clone https://github.com.cnpmjs.org/open-mmlab/mim-example.git
100 pip install timm # swin transformer relies timm
101 mim install mmsegmentation
102 pip show mmdet
103 pip show mim
104 pip show openmim
105 mim install -i
106 mim install -h
107 mim install -f https://github.com.cnpmjs.org/open-mmlab/mmsegmentation.git mmsegmentation
108 slurm
109 pip install slurm
110 nvidia-smi
111 source /home/dutxutengfei/anaconda3/bin/activate
112 conda activate open-mmlab
113 /home/dutxutengfei/anaconda3/envs/open-mmlab/bin/python /home/dutxutengfei/cv_projects/mim-example/swin_transformer/swin/swin_transformer.py
114 nvidia-smi
115 PYTHONPATH='.':$PYTHONPATH mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8
116 conda activate open-mmlab
117 PYTHONPATH='.':$PYTHONPATH mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8
118 pip list
119 nvcc
120 nvidia-smi
121 expr 3\*3
122 history
123 r 3\*3
124 expr 3*3
125 echo "ff"
126 # expr 3\*3
127 PYTHONPATH='.':$PYTHONPATH mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8 --srun-args $SRUN_ARGS
128 $!
129 echo $!
130 echo $$
131 echo $1
132 echo $0
133 echo 3\*3
134 expr
135 expr 3 3
136 expr 3*3
137 expr 3\*3
138 PYTHONPATH='.':$PYTHONPATH mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8 --srun-args $SRUN_ARGS
139 name="test"
140 echo $name
141 .
142 cd .
143 echo \=
144 echo $PARTITION
145 echo $SRUN_ARGS
146 mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py
147 PYTHONPATH='.':$PYTHONPATH mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8 --srun-args $SRUN_ARGS
148 PYTHONPATH='.':$PYTHONPATH mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8 --srun-args 0
149 mim install mmcv-full
150 mim list
151 pip install srun
152 mim install mmcls
153 mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py
154 mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --gpus 8
155 pip install swin
156 history
157 conda activate open-mmlab
158 pip list
159 conda install
160 conda install pytorch==1.9.0 torchvision==0.10.0 cudatoolkit=11.2 -c pytorch
161 conda install pytorch==1.9.0 torchvision==0.10.0 cudatoolkit=11.1 -c pytorch
162 pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111
163 pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 -f https://download.pytorch.org/whl/torch_stable.html
164 PYTHONPATH='.':$PYTHONPATH mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8 --srun-args $SRUN_ARGS
165 PYTHONPATH='.':$PYTHONPATH mim train mmseg configs/upernet/upernet_swin-t_512x512_160k_8x2_ade20k.py --work-dir ../work_dir/upernet_swin-t_512x512_160k_8x2_ade20k.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8 --srun-args $SRUN_ARGS
166 PYTHONPATH='.':$PYTHONPATH mim train mmseg configs/upernet/upernet_swin-t_512x512_160k_8x2_ade20k.py --work-dir ../work_dir/upernet_swin-t_512x512_160k_8x2_ade20k.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8
167 PYTHONPATH='.':$PYTHONPATH mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8 --srun-args $SRUN_ARGS
168 PYTHONPATH='.':$PYTHONPATH mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8
169 mimmim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8 --srun-args $SRUN_ARGS
170 ————————————————
171 版权声明：本文为CSDN博主「构建的乐趣」的原创文章，遵循CC 4.0 BY-SA版权协议，转载请附上原文出处链接及本声明。
172 原文链接：https://blog.csdn.net/qq_44065334/article/details/118642122
173 mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8 --srun-args $SRUN_ARGS
174 conda activate open-mmlab
175 mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8 --srun-args $SRUN_ARGS
176 mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --launcher slurm --partition $PARTITION --gpus 8 --gpus-per-node 8
177 mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py
178 ————————————————
179 版权声明：本文为CSDN博主「构建的乐趣」的原创文章，遵循CC 4.0 BY-SA版权协议，转载请附上原文出处链接及本声明。
180 原文链接：https://blog.csdn.net/qq_44065334/article/details/118642122m
181 mim --work-dir -h
182 mim -h
183 mim train mmdet --work-dir
184 mim train mmdet --work-dir -h
185 mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --work-dir logs_and_models
186 pip show mmdet
187 mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --work-dir logs_and_models
188 pip install swin
189 mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --work-dir logs_and_models
190 echo $PWD
191 mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --work-dir logs_and_models
192 conda activate open-mmlab
193 mim install mmdet
194 mim uninstall mmdet
195 mim uninstall mmcv-full
196 mim uninstall mmcls
197 mim install mmdet
198 mmdet install mmcls
199 mim install mmcls
200 mim install mmcls -f https://github.com.cnpmjs.org/
201 mim install mmcls
202 mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --work-dir logs_and_models
203 conda activate open-mmlab
204 mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py --work-dir logs_and_models
205 mim train mmdet configs/swin_mask_rcnn/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py \--work-dir ../work_dir/mask_rcnn_swim-t-p4-w7_fpn_fp16_1x_coco.py
206 history
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