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author | JC-Array <44535867+JC-Array@users.noreply.github.com> | 2022-10-10 23:11:02 +0000 |
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committer | GitHub <noreply@github.com> | 2022-10-10 23:11:02 +0000 |
commit | d66bc86159d415005f0745fdb5724bcd95576352 (patch) | |
tree | 2544c33a8f443f226c9cf4bea7df7e3a30369812 /modules/devices.py | |
parent | 76ef3d75f61253516c024553335d9083d9660a8a (diff) | |
parent | 47f5e216da2af4b1faf232a620572f8b357855d5 (diff) | |
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Merge pull request #2 from JC-Array/master
resolve merge conflicts
Diffstat (limited to 'modules/devices.py')
-rw-r--r-- | modules/devices.py | 6 |
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() |