Comments (4)
Hi, have you finished all the setup instructions as well? Please let me know if that helps.
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No problem! If its a memory thing nothing much I can do, I'm usually watching when I use it anyway so it should be fine for now. Thank you :>
from auto-maple.
ohhh omg thats the one part of setup I looked past because I saw tensorflow and I was already using your program from before you did all these updates haha. Sorry about that.
I'm getting this message for runes now and i'm assuming I don't have enough memory?
Solving rune:
2022-03-09 21:16:25.217158: I tensorflow/stream_executor/cuda/cuda_dnn.cc:368] Loaded cuDNN version 8100
2022-03-09 21:16:27.130321: W tensorflow/core/common_runtime/bfc_allocator.cc:275] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.32GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
2022-03-09 21:16:27.196821: W tensorflow/core/common_runtime/bfc_allocator.cc:275] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.60GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
2022-03-09 21:16:27.285303: W tensorflow/core/common_runtime/bfc_allocator.cc:275] Allocator (GPU_0_bfc) ran out of memory trying to allocate 3.59GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
from auto-maple.
Yeah, sorry about that. I'm trying to train a smaller model so that doesn't happen.
from auto-maple.
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