Behavior of `global_step=None` about tensorboardx HOT 4 CLOSED

Setting global_step=None means no step information is saved in protobuf (while time is still logged). So if users don't want to maintain a global step variable in the code, they can simply ignore this argument.

from tensorboardx.

I always pass n_iter explicitly. It's more intuitive.

However you can try this for wall clock time:

import time
for n_iter in range(100):
    s1 = torch.rand(1) # value to keep
    writer.add_scalar('data/scalar1', s1[0]) 
    time.sleep(0.1)

Note that it's important to have a sleep.

from tensorboardx.

Yes, I know you can emulate wall clock time that way. However, I do want to understand what does global_step=None mean, and why is it even optional at all.

from tensorboardx.

Gotcha. I guess it's always good to make it explicit then. Thanks!
Happy Black Friday. ;)

from tensorboardx.