table1.sh
1.85 KB
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
#!/usr/bin/env sh
# DEFINE
DATA_ROOT_PATH=""
DEVICE="cuda"
################ Table 1 #######################################################
#### commands to train the model with full training data
################################################################################
# 3D-CNN
python3 -m src.scripts.main -c config/config.py \
--exp_name 3d_cnn \
-r result/3d_cnn/ \
--device $DEVICE --wandb.use 0 \
--model.arch.file src/arch/brain_age_3d.py \
--data.root_path "$DATA_ROOT_PATH"
# 2D-slice-lstm
python3 -m src.scripts.main -c config/config.py \
--exp_name 2d_slice_lstm \
-r result/2d_slice_lstm/ \
--device $DEVICE --wandb.use 0 \
--model.arch.file src/arch/brain_age_slice_lstm.py \
--data.root_path "$DATA_ROOT_PATH" \
--train.gradient_norm_clip 1
# 2D-slice-attention
python3 -m src.scripts.main -c config/config.py \
--exp_name 2d_slice_attention \
-r result/2d_slice_attention \
--device $DEVICE --wandb.use 0 \
--model.arch.file src/arch/brain_age_slice_set.py \
--model.arch.attn_dim 32 --model.arch.attn_num_heads 1 \
--model.arch.attn_drop 1 --model.arch.agg_fn "attention" \
--data.root_path "$DATA_ROOT_PATH"
# 2D-slice-mean
python3 -m src.scripts.main -c config/config.py \
--exp_name 2d_slice_mean \
-r result/2d_slice_mean \
--device $DEVICE --wandb.use 0 \
--model.arch.file src/arch/brain_age_slice_set.py \
--model.arch.attn_dim 32 --model.arch.attn_num_heads 1 \
--model.arch.attn_drop 1 --model.arch.agg_fn "mean" \
--data.root_path "$DATA_ROOT_PATH"
# 2D-slice-max
python3 -m src.scripts.main -c config/config.py \
--exp_name 2d_slice_max \
-r result/2d_slice_max \
--device $DEVICE --wandb.use 0 \
--model.arch.file src/arch/brain_age_slice_set.py \
--model.arch.attn_dim 32 --model.arch.attn_num_heads 1 \
--model.arch.attn_drop 1 --model.arch.agg_fn "max" \
--data.root_path "$DATA_ROOT_PATH"