/
main_triangularNet.py
45 lines (37 loc) · 1.06 KB
/
main_triangularNet.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
"""
Version of the main file to use triangular networks
"""
from experiment import *
L = 3
r_min = 5
P = int(2 ** 13) # int(2**20)
parameters = {'P': P,
'datatype': 'ov',
'networktype': 'trian',
'r_min': r_min,
'L': L,
}
exp1 = Experiment(**parameters)
exp1.find_transition(r_min,
P=0,
L=0,
layer_to_train=0,
jamming_margin=2,
gen_error_flag=False)
exp1.save()
r_min = 2.8
for l in range(1, len(exp1.dataset)-1):
exp1.find_transition(r_min=0.5,
P=0,
L=0,
layer_to_train=l,
jamming_margin=2,
gen_error_flag=True)
exp.save()
exp1.find_transition(r_min=2.2,
P=0,
L=0,
layer_to_train=l,
jamming_margin=2,
gen_error_flag=False)
exp1.save()