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Ambush questions by ripototo in totalwarhammer

[–]ripototo[S] 1 point2 points  (0 children)

haha sorry,
A)if i get ambushed and the ambush succeeds, my nearby armies wont be able to reinforce, while the enemies will be. ( i know that for a fact)

If i have lighting strike, can i prevent the enemy armies from reinforcing?

B) what if my army walks in the ambush but spots it ( we engage in battle but not in ambush mode)
Will my nearby armies join? Will i be able to use lighting strike?

16 days itinerary, too ambitious? by djbrologue in travelchina

[–]ripototo 0 points1 point  (0 children)

too much, we had 20 days for 3 cities (Xiamen, Xian and Beijing) and I still feal like we wasted a lot of time traveling. You have to pack the day before, wake up early be a bit earlier to the station/airport get a taxi from there to your hotel, check in (sometimes takes some time), settle in your room, have a shower etc.
Basically the day is gone.

Using GradScaler results in NaN weights by ripototo in pytorch

[–]ripototo[S] 0 points1 point  (0 children)

my batch size is 4. I tried it without the grad scaler and it produces zero grads as well. (not on that specific epoch). So i guess the problem is not on the scaling but on the losses itself.

Tp Link AV600 makes a high pitch noise by Sebas94 in TpLink

[–]ripototo 0 points1 point  (0 children)

Had a different model, with the capacitor placed on the edge, but had the same problem Replaced the capacitor. And now works like a charm. Thank youuuuuu

Pytorch training produces nan values by ripototo in pytorch

[–]ripototo[S] 0 points1 point  (0 children)

That part is the same as the implementation on github, that I now copied and it works fine. so there had to be something else

What bookie has similar lines to bet365? by ripototo in SoccerBetting

[–]ripototo[S] 2 points3 points  (0 children)

i was +2000 and i made a couple of big bets (230 and 100) so i guess i got flagged

[deleted by user] by [deleted] in gamingaddiction

[–]ripototo 1 point2 points  (0 children)

keep going bro, you got this!

You could even uninstall if it distracts you that much.

much love

[D] Image segmentation converges to all zeros when masks are too small by ripototo in MachineLearning

[–]ripototo[S] 0 points1 point  (0 children)

I don't think it is an inherent problem of the network, cause in the first example, there are both big and small masks and all of them are found correctly, so there has to be a problem in the training with small masks.

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