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| author | pepe10-gpu <pepe.dannyboy@gmail.com> | 2022-11-08 23:19:09 +0000 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2022-11-08 23:19:09 +0000 |
| commit | 62e9fec3df8518da3a2c35fa090bb54946c856b2 (patch) | |
| tree | 0d13be98e2a2e8accf44f6ebd6c41fa3a29b13a1 /modules/devices.py | |
| parent | 29eff4a194d22f0f0e7a7a976d746a71a4193cf5 (diff) | |
| download | stable-diffusion-webui-gfx803-62e9fec3df8518da3a2c35fa090bb54946c856b2.tar.gz stable-diffusion-webui-gfx803-62e9fec3df8518da3a2c35fa090bb54946c856b2.tar.bz2 stable-diffusion-webui-gfx803-62e9fec3df8518da3a2c35fa090bb54946c856b2.zip | |
actual better fix
thanks C43H66N12O12S2
Diffstat (limited to 'modules/devices.py')
| -rw-r--r-- | modules/devices.py | 7 |
1 files changed, 2 insertions, 5 deletions
diff --git a/modules/devices.py b/modules/devices.py index 4c63f465..058a5e00 100644 --- a/modules/devices.py +++ b/modules/devices.py @@ -39,12 +39,9 @@ def torch_gc(): def enable_tf32(): if torch.cuda.is_available(): - #TODO: make this better; find a way to check if it is a turing card - turing = ["1630","1650","1660","Quadro RTX 3000","Quadro RTX 4000","Quadro RTX 4000","Quadro RTX 5000","Quadro RTX 5000","Quadro RTX 6000","Quadro RTX 6000","Quadro RTX 8000","Quadro RTX T400","Quadro RTX T400","Quadro RTX T600","Quadro RTX T1000","Quadro RTX T1000","2060","2070","2080","Titan RTX","Tesla T4","MX450","MX550"] for devid in range(0,torch.cuda.device_count()): - for i in turing: - if i in torch.cuda.get_device_name(devid): - shd = True + if torch.cuda.get_device_capability(devid) == (7, 5): + shd = True if shd: torch.backends.cudnn.benchmark = True torch.backends.cudnn.enabled = True |