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authorAUTOMATIC1111 <16777216c@gmail.com>2023-06-27 09:02:38 +0300
committerGitHub <noreply@github.com>2023-06-27 09:02:38 +0300
commit58a9a261c4feb729717c386fea70f8ea985c6722 (patch)
treeebc822c17a889034672297d7450477f7c945cbb7 /modules/devices.py
parent373ff5a217eca33607abb692b9ebfa38abb7fe33 (diff)
parent2c43dd766da52d2ccaaa78d8f265a6a4aa33b9df (diff)
Merge branch 'dev' into meta_class
Diffstat (limited to 'modules/devices.py')
-rw-r--r--modules/devices.py18
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)