-
Notifications
You must be signed in to change notification settings - Fork 3
/
Copy pathlauncher_paper_appendix_experiments.py
160 lines (133 loc) · 7.63 KB
/
launcher_paper_appendix_experiments.py
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
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
from datetime import datetime
start_time = datetime.now()
import os
import subprocess
from utils import *
nbr_seeds = 10
nbr_epochs = 300
lr_init = 0.0001
lr_milestones = [200]
lr_decay = 0.1
weight_decay = 1e-6
batchsize = 1000
train_ratio = 0.9
nbr_pulse_per_scan = 64
nbr_targets = 3000
nbr_RPs = 1000
unit_norm = int(True)
nbr_modes_SAD = 1
SAD_ratio = 0.01
arch = "net0"
arch_suffix = "_"+arch
representation = "sp"
dataset_name = "{}targets-64bins-{}".format(nbr_targets, representation)
current_dir = os.path.dirname(os.path.abspath(__file__)) + '/'
experiment_name = "appendix_deep_experiments"
init_comparison_df(experiment_name)
for estimator_RPs in ["mean", "max"]:
for nbr_modes in [1, 2]:
################################################################### DEEP EXPERIMENTS WITHOUT POLLUTION
#### RPO & adaptations
subprocess.run(
["python", current_dir + "deep_rpo.py", "deep-rpo" + arch_suffix + "_" + estimator_RPs, dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "AD", "deep-rpo", arch, str(nbr_modes_SAD),
str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_rpo.py", "drpo-ssldata-sslcentroid" + arch_suffix + "_" + estimator_RPs, dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "SSL", "ssldata-sslcentroid", arch, str(nbr_modes_SAD),
str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_rpo.py", "drpo-ssldata-away" + arch_suffix + "_" + estimator_RPs, dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "SSL", "ssldata-away", arch, str(nbr_modes_SAD),
str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_rpo.py", "drpo-saddata-sadcentroid" + arch_suffix + "_" + estimator_RPs, dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "SAD", "saddata-sadcentroid", arch, str(nbr_modes_SAD),
str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_rpo.py", "drpo-saddata-away" + arch_suffix + "_" + estimator_RPs, dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "SAD", "saddata-away", arch, str(nbr_modes_SAD),
str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_rpo.py", "drpo-ssldata-sslcentroid_saddata-away" + arch_suffix + "_" + estimator_RPs, dataset_name, str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "SAD+SSL", "ssldata-sslcentroid_saddata-away", arch,
str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_rpo.py", "drpo-ssldata-away_saddata-sadcentroid" + arch_suffix + "_" + estimator_RPs, dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "SAD+SSL", "ssldata-away_saddata-sadcentroid", arch,
str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_rpo.py", "drpo-ssldata-sslcentroid_saddata-sadcentroid" + arch_suffix + "_" + estimator_RPs, dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "SAD+SSL", "ssldata-sslcentroid_saddata-sadcentroid", arch,
str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_rpo.py", "drpo-ssldata-away_saddata-away" + arch_suffix + "_" + estimator_RPs,
dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "SAD+SSL", "ssldata-away_saddata-away", arch,
str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
################################################################### DEEP EXPERIMENTS WITH POLLUTION
#### RPO & adaptations
subprocess.run(
["python", current_dir + "deep_rpo.py", "drpo-saddata-pollution" + arch_suffix + "_" + estimator_RPs,
dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "SAD", "saddata-pollution", arch,
str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_rpo.py", "drpo-ssldata-sslcentroid_saddata-pollution" + arch_suffix + "_" + estimator_RPs,
dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "SAD+SSL", "ssldata-sslcentroid_saddata-pollution", arch,
str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_rpo.py", "drpo-ssldata-away_saddata-pollution" + arch_suffix + "_" + estimator_RPs,
dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "SAD+SSL", "ssldata-away_saddata-pollution", arch,
str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
time_elapsed = datetime.now() - start_time
print("Complete execution time:", time_elapsed)