mirror/stable-diffusion-webui
2
0
Fork 0
mirror of https://github.com/AUTOMATIC1111/stable-diffusion-webui.git synced 2024-11-21 03:11:40 +08:00
Code Issues Packages Projects Releases Wiki Activity

implement CUDA device selection by ID

Browse Source
This commit is contained in:
Extraltodeus 2022-10-22 00:11:07 +02:00 committed by GitHub
parent f49c08ea56
commit 57eb54b838
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 18 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

21
modules/devices.py
View File

@ -1,7 +1,6 @@
import sys, os, shlex
import contextlib
import torch
from modules import errors
# has_mps is only available in nightly pytorch (for now), `getattr` for compatibility
@ -9,10 +8,26 @@ has_mps = getattr(torch, 'has_mps', False)
cpu = torch.device("cpu")
def extract_device_id(args, name):
for x in range(len(args)):
if name in args[x]: return args[x+1]
return None
def get_optimal_device():
if torch.cuda.is_available():
return torch.device("cuda")
# CUDA device selection support:
if "shared" not in sys.modules:
commandline_args = os.environ.get('COMMANDLINE_ARGS', "") #re-parse the commandline arguments because using the shared.py module creates an import loop.
sys.argv += shlex.split(commandline_args)
device_id = extract_device_id(sys.argv, '--device-id')
else:
device_id = shared.cmd_opts.device_id
if device_id is not None:
cuda_device = f"cuda:{device_id}"
return torch.device(cuda_device)
else:
return torch.device("cuda")
if has_mps:
return torch.device("mps")