-
Notifications
You must be signed in to change notification settings - Fork 2
/
logger.py
38 lines (34 loc) · 1.2 KB
/
logger.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
# Code referenced from https://gist.github.com/gyglim/1f8dfb1b5c82627ae3efcfbbadb9f514
import numpy as np
import nsml
import visdom
from torchvision.utils import save_image
from utils import *
class Logger(object):
def __init__(self, log_dir=None):
self.last = None
self.log_dir = log_dir
if nsml.IS_ON_NSML:
self.viz = nsml.Visdom(visdom=visdom)
def scalar_summary(self, tag, value, step, scope=None):
if nsml.IS_ON_NSML:
if self.last and self.last['step'] != step:
nsml.report(**self.last,scope=scope)
self.last = None
if self.last is None:
self.last = {'step':step,'iter':step,'epoch':1}
self.last[tag] = value
def images_summary(self, tag, images, step):
"""Log a list of images."""
if nsml.IS_ON_NSML:
self.viz.images(
to_np(images),
opts=dict(title='%s/%d' % (tag, step), caption='%s/%d' % (tag, step)),
)
else:
save_image(
images.data,
'{}/step{}.png'.format(self.log_dir, step),
nrow=8,
normalize=True
)