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author | AUTOMATIC <16777216c@gmail.com> | 2023-06-01 05:42:50 +0000 |
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committer | AUTOMATIC <16777216c@gmail.com> | 2023-06-01 05:42:50 +0000 |
commit | b3390a984081950c626070889580e01727689921 (patch) | |
tree | f1fb3352f91d70034d54a99c220f1ca594d8b3dc /modules/devices.py | |
parent | 0cc05fc492a9360d3b2f1b3f64c7d74f9041f74e (diff) | |
parent | 36888092afa82ee248bc947229f813b453629317 (diff) | |
download | stable-diffusion-webui-gfx803-b3390a984081950c626070889580e01727689921.tar.gz stable-diffusion-webui-gfx803-b3390a984081950c626070889580e01727689921.tar.bz2 stable-diffusion-webui-gfx803-b3390a984081950c626070889580e01727689921.zip |
Merge branch 'dev' into startup-profile
Diffstat (limited to 'modules/devices.py')
-rw-r--r-- | modules/devices.py | 18 |
1 files changed, 18 insertions, 0 deletions
diff --git a/modules/devices.py b/modules/devices.py index d8a34a0f..1ed6ffdc 100644 --- a/modules/devices.py +++ b/modules/devices.py @@ -1,5 +1,7 @@ import sys import contextlib +from functools import lru_cache + import torch from modules import errors @@ -154,3 +156,19 @@ def test_for_nans(x, where): message += " Use --disable-nan-check commandline argument to disable this check." raise NansException(message) + + +@lru_cache +def first_time_calculation(): + """ + just do any calculation with pytorch layers - the first time this is done it allocaltes about 700MB of memory and + spends about 2.7 seconds doing that, at least wih NVidia. + """ + + x = torch.zeros((1, 1)).to(device, dtype) + linear = torch.nn.Linear(1, 1).to(device, dtype) + linear(x) + + x = torch.zeros((1, 1, 3, 3)).to(device, dtype) + conv2d = torch.nn.Conv2d(1, 1, (3, 3)).to(device, dtype) + conv2d(x) |