import torch
from torch import nn
-t = 0
+######################################################################
if len(sys.argv) < 2:
- print(sys.argv[0] + ''' <file to monitor>
+ print(
+ sys.argv[0]
+ + """ <file to monitor>
For example:
nn.MaxPool2d(2)
nn.Conv2d(32, 64, 3, padding = 1)
nn.MaxPool2d(5)
-nn.Conv2d(64, 64, (3, 4))''')
+nn.Conv2d(64, 64, (3, 4))"""
+ )
exit(1)
+######################################################################
+
+t = 0
+
while True:
pt = t
t = os.stat(sys.argv[1])[stat.ST_MTIME]
if t > pt:
pt = t
- os.system('clear')
+ os.system("clear")
try:
- temp = [l.strip('\n\r') for l in open(sys.argv[1], 'r').readlines()]
+ temp = [l.strip("\n\r") for l in open(sys.argv[1], "r").readlines()]
x = torch.zeros(eval(temp.pop(0)))
- print('-> ' + str(tuple(x.size())))
+ print("-> " + str(tuple(x.size())))
for k in temp:
- print(' ' + k)
- x = eval(k + '(x)')
- print('-> ' + str(tuple(x.size())))
+ print(" " + k)
+ x = eval(k + "(x)")
+ print("-> " + str(tuple(x.size())))
except:
- print('** Error **')
+ print("** Error **")
time.sleep(1)