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author | AUTOMATIC1111 <16777216c@gmail.com> | 2023-06-27 09:02:38 +0300 |
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committer | GitHub <noreply@github.com> | 2023-06-27 09:02:38 +0300 |
commit | 58a9a261c4feb729717c386fea70f8ea985c6722 (patch) | |
tree | ebc822c17a889034672297d7450477f7c945cbb7 /modules/devices.py | |
parent | 373ff5a217eca33607abb692b9ebfa38abb7fe33 (diff) | |
parent | 2c43dd766da52d2ccaaa78d8f265a6a4aa33b9df (diff) |
Merge branch 'dev' into meta_class
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) |