-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathpichenka_gynetik.py
160 lines (127 loc) · 4.08 KB
/
pichenka_gynetik.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 PYchenka-Gynetik.pichenka-gynetik import *
import random
from numpy.random import uniform as u
import math
import numpy as np
import time
#log = [4, [7*6, 256], [256, 64], [64, 32], [32, 7]] or
#log = [4, [256*256, 1024], [1024, 256], [256, 32], [32, 10]] or
#log = [3, [360, 999], [999, 222], [222, 123]] or
def sig(x):
list_sig = []
for i in range(len(x)):
list_sig.append(1/(1 + np.exp(-x[i])))
return list_sig
def relu(x):
list_relu = []
for i in range(len(x)):
list_relu.append(max(0, x[i]))
return list_relu
# w = [ag1.w, ag2.w, ag3.w, ...]
# glasses = [int/float, int/float, int/float, ...]
def upgrade_w(w, glasses, log, mutashen_procent=3):
ochky = []
for i in range(len(glasses)):
ochky.append(glasses[i].out)
rand = []
for i in range(len(ochky)):
rand.append(ochky[i]/sum(ochky))
ww = get_w(log)
new_w = []
for i in range(len(ww)):
delta_w = r.choices(range(len(ww)), weights=rand, k=len(ww[0]))
new_w.append([])
for x in range(len(delta_w)):
if r.random()*100 <= mutashen_procent:
new_w[i].append(u(-1, 1))
else:
new_w[i].append(ww[i][delta_w[x]])
ws = []
for i in range(len(new_w)):
ws.append(open_w(new_w[i], log))
return ws
def zip_w(n_w, log):
w = []
for i in range(log[0]):
for x in range(log[i+1][0]):
for y in range(log[i+1][1]):
w.append(n_w[i][x][y])
return w
def open_w(n_w, log):
w = []
m = 0
for i in range(log[0]):
w.append([])
for x in range(log[i+1][0]):
w[i].append([])
for y in range(log[i+1][1]):
w[i][x].append(n_w[m+(x+1)*(y+1)-1])
m += log[i+1][0]*log[i+1][1]
return w
def get_w(list_w, log):
ws = []
for i in range(len(list_w)):
ws.append(zip_w(list_w[i].w, log))
return ws
def save(ws, log):
file = open("agents.txt", "w")
ws = get_w(ws, log)
for i in range(len(ws)):
for q in range(len(ws[i])):
file.write(str(ws[i][q])+" ")
file.write("\n")
def load(log, path="agents.txt"):
file = open(path, "r").read().split("\n")
ws = []
for i in range(0, len(file)-1):
ag = Agent()
ag.w = open_w(list(map(float, file[i].split(" ")[0:-1])), log)
ws.append(ag.w.copy())
return ws
class Agent():
def __init__(self):
self.time = time.time()
self.w = []
def get_w(self):
delta_w = []
for i in range(len(self.w)):
for j in range(len(self.w[i])):
delta_w.append(w[i][j])
return self.w
def append(self, new_w):
self.w.append(new_w)
def input(self, x):
self.x = x
def update(self):
self.s = np.dot(self.x, self.w[0])
for i in range(len(self.w)-1):
self.s = np.dot(self.s, self.w[i+1])
def out(self):
return relu(self.s)#/sig(self.s)
"""
ag = Agent()
ag.append(u(-1, 1, size=(32, 16)))
ag.append(u(-1, 1, size=(16, 8)))
ag.append(u(-1, 1, size=(8, 3)))
log = [3, [32, 16], [16, 8], [8, 3]]
save([ag], log)
ag.w = load(log)[0]
print("load!")
"""
if __name__ == "__main__":
ag = Agent()
ag.append(u(-1, 1, size=(10000, 1000)))
ag.append(u(-1, 1, size=(1000, 256)))
ag.append(u(-1, 1, size=(256, 128)))
ag.append(u(-1, 1, size=(128, 64)))
ag.append(u(-1, 1, size=(64, 32)))
ag.append(u(-1, 1, size=(32, 16)))
ag.append(u(-1, 1, size=(16, 8)))
ag.append(u(-1, 1, size=(8, 3)))
#log = [8, [10000, 1000], [1000, 256], [256, 128], [128, 64], [64, 32], [32, 16], [16, 8], [8, 3]]
while True:
start_time = time.time()
for i in range(1000):
ag.input(u(0, 1, size=(10000)))
ag.update()
print("total time:", time.time()-start_time, "|", "update time:", round((time.time()-start_time)/1000, 4))