The PC has a motherboard with an older X99 socket. I would probably by from pugetsystems if they were selling to EU. However, after weeks of exploration, I’ve ended up purchasing and assembling a PC based on pugetsystems - digits with small modifications. I’ve spent quite some time learning about the new hardware it is fascinating and I can share some superb blog posts about that. can you point me to a blog or documentation that I can use? Only now, I am going to learn on first lessonĬan you let me know how you achieved option 1. I noticed if my GPU free memory is atleast 1GB it runs fine (Mine is GT 750M having only 2GB). Then I load the saved model and proceed from there. Run _cache() after every training, this helps me alot in giving some free space in GPU (but still ~900MB is used always, don’t know how to clear it) Then I go upto “learn.save(‘224_lastlayer’)”, then I restart my kernel. _device_name(0) #This should give us GPU name Thanks to jeremy, I now check the following initially to make sure everything is set: Though I am still getting “out of memory” issue while running lesson1.ipynb, I am doing the temp fix:
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June 2023
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