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The Gan works just fine in the lab but I’m constantly getting this grader failed message, anyone encountered the same issue??
The point is that running the training can create a large memory image, which can impede the performance of the grader. But the grader does not need to see your output: it only needs to call your functions.
But problems like this can also be caused by “bad weather” in the cloud. So if the “Kernel Restart” doesn’t work, you might also try coming back in 4 or 8 hours and trying again.
Tried for a couple of times but didn’t work.There are only 2 questions in the assignment. First calculate updated noise, second be penalising changes to other classes with an L2 norm. I don’t think any of them involve in loops that may cripple or slow down the program. Any idea what might be the problem?
