updates:
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tried clouderizer - unfortunately no magic happened - the 556MB limit is still the same problem, failing with cuda memory error, and need to tweak the notebook to reduce size. Thanks to Prakash’s input on Medium, we now know that some people get access to 11GB of RAM (he does in India), others only 0.5GB (I do in Canada).
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I did succeed to run the whole lesson one on 556MB by splitting lesson1 into 2 notebooks. Both have the same setup parts, but the second notebook’s code (after copying the setup) starts with Improving our model.
I used my GPU memory diagnostics function to find a good breaking point.
And I had to use a very small sz=28. Such tiny images clearly won’t give good learning, but you can still follow the lesson. I might play some more to find a larger sz that still fits into the limited memory. part2’s run definitely has no memory to spare, part1 has some extra.
I placed the working notebooks here if you want to use those: