-
Notifications
You must be signed in to change notification settings - Fork 3
/
utils_log.py
165 lines (144 loc) · 5 KB
/
utils_log.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
161
162
163
164
165
import os
import numpy as np
from matplotlib import pyplot as plt
import os
import time
import logging
import operator
import numpy as np
import coloredlogs
from PIL import Image
plt.switch_backend("Agg")
class MetricSaver(object):
def __init__(self,
name,
path,
ma_weight=0.9,
figsize=(6, 4),
postfix=".png",
save_on_update=True):
self.name = name
self.path = path
self.ma_weight = ma_weight
self.step = [0.]
self.original_value = []
self.value = [0.]
self.ma_value = [0.]
self.figsize = figsize
self.postfix = postfix
self.save_on_update = save_on_update
def _test_valid_step(self):
for i in range(1, len(self.step)):
if self.step[i] is None:
return False
if self.step[i] < self.step[i - 1]:
return False
return True
def update(self, step=None, value=None, save=True):
self.step.append(step)
self.original_value.append(value)
value = np.mean(value)
self.value.append(value)
if len(self.ma_value) == 1:
self.ma_value.append(value)
else:
self.ma_value.append(self.ma_value[-1] * self.ma_weight + value *
(1. - self.ma_weight))
if save is True or self.save_on_update is True:
self.save()
def save(self):
if self._test_valid_step() is True:
fig = plt.figure(figsize=self.figsize)
plt.plot(
self.step[1:],
self.value[1:],
'-',
)
plt.grid(True)
plt.tight_layout()
plt.savefig(os.path.join(self.path, self.name + self.postfix),
bbox_inches='tight')
plt.close(fig)
# fig = plt.figure(figsize=self.figsize)
# plt.plot(
# self.step[1:],
# self.ma_value[1:],
# '-',
# )
# plt.grid(True)
# plt.tight_layout()
# plt.savefig(os.path.join(self.path,
# self.name + "_ma" + self.postfix),
# bbox_inches='tight')
# plt.close(fig)
else:
fig = plt.figure(figsize=self.figsize)
plt.plot(
self.value[1:],
'-',
)
plt.grid(True)
plt.tight_layout()
plt.savefig(os.path.join(self.path, self.name + self.postfix),
bbox_inches='tight')
plt.close(fig)
# fig = plt.figure(figsize=self.figsize)
# plt.plot(
# self.ma_value[1:],
# '-',
# )
# plt.grid(True)
# plt.tight_layout()
# plt.savefig(os.path.join(self.path,
# self.name + "_ma" + self.postfix),
# bbox_inches='tight')
# plt.close(fig)
# np.savez(os.path.join(self.path, self.name + ".npz"),
# value=self.value[1:],
# ma_value=self.ma_value,
# original_value=self.original_value)
def build_logger(folder=None, args=None, logger_name=None):
FORMAT = "%(asctime)s;%(levelname)s|%(message)s"
DATEF = "%H-%M-%S"
logging.basicConfig(format=FORMAT, level=logging.DEBUG)
logger = logging.getLogger()
# logger.setLevel(logging.DEBUG)
if folder is not None:
fh = logging.FileHandler(filename=os.path.join(
folder, "logfile{}.log".format(time.strftime("%m-%d"))))
fh.setLevel(logging.DEBUG)
formatter = logging.Formatter("%(asctime)s;%(levelname)s|%(message)s",
"%H:%M:%S")
fh.setFormatter(formatter)
logger.addHandler(fh)
LEVEL_STYLES = dict(
debug=dict(color="magenta"),
info=dict(color="green"),
verbose=dict(),
warning=dict(color="blue"),
error=dict(color="yellow"),
critical=dict(color="red", bold=True),
)
coloredlogs.install(level=logging.DEBUG,
fmt=FORMAT,
datefmt=DATEF,
level_styles=LEVEL_STYLES)
def get_list_name(obj):
if type(obj) is list:
for i in range(len(obj)):
if callable(obj[i]):
obj[i] = obj[i].__name__
elif callable(obj):
obj = obj.__name__
return obj
if args is None:
return logger
if isinstance(args, dict) is not True:
args = vars(args)
sorted_list = sorted(args.items(), key=operator.itemgetter(0))
logger.info("#" * 120)
logger.info("----------Configurable Parameters In this Model----------")
for name, val in sorted_list:
logger.info("# " + ("%20s" % name) + ":\t" + str(get_list_name(val)))
logger.info("#" * 120)
return logger