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authoryfszzx <yfszzx@gmail.com>2022-10-11 12:23:41 +0000
committeryfszzx <yfszzx@gmail.com>2022-10-11 12:23:41 +0000
commit594ab4ba53a80a0a3606565404e6d1fbb60f6629 (patch)
tree2821eef661e6568b65d8d29c268b657a17dcd423 /modules/devices.py
parent7b1db45e1fda8603d4617affd976066be5e5b821 (diff)
parentdce7fc902ae2c6d9ffa71db67471abdcda72f82c (diff)
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Diffstat (limited to 'modules/devices.py')
-rw-r--r--modules/devices.py6
1 files changed, 5 insertions, 1 deletions
diff --git a/modules/devices.py b/modules/devices.py
index 0158b11f..03ef58f1 100644
--- a/modules/devices.py
+++ b/modules/devices.py
@@ -36,6 +36,7 @@ errors.run(enable_tf32, "Enabling TF32")
device = device_gfpgan = device_bsrgan = device_esrgan = device_scunet = device_codeformer = get_optimal_device()
dtype = torch.float16
+dtype_vae = torch.float16
def randn(seed, shape):
# Pytorch currently doesn't handle setting randomness correctly when the metal backend is used.
@@ -59,9 +60,12 @@ def randn_without_seed(shape):
return torch.randn(shape, device=device)
-def autocast():
+def autocast(disable=False):
from modules import shared
+ if disable:
+ return contextlib.nullcontext()
+
if dtype == torch.float32 or shared.cmd_opts.precision == "full":
return contextlib.nullcontext()