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Merge pull request #995 from cmdr2/beta

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Beta
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cmdr2 2023-03-11 09:08:01 +05:30 committed by GitHub
commit bdb6649722
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2 changed files with 35 additions and 17 deletions
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35
ui/easydiffusion/device_manager.py
View File

@ -22,20 +22,20 @@ mem_free_threshold = 0
def get_device_delta(render_devices, active_devices):
"""
render_devices: 'cpu', or 'auto' or ['cuda:N'...]
active_devices: ['cpu', 'cuda:N'...]
render_devices: 'cpu', or 'auto', or 'mps' or ['cuda:N'...]
active_devices: ['cpu', 'mps', 'cuda:N'...]
"""
if render_devices in ("cpu", "auto"):
if render_devices in ("cpu", "auto", "mps"):
render_devices = [render_devices]
elif render_devices is not None:
if isinstance(render_devices, str):
render_devices = [render_devices]
if isinstance(render_devices, list) and len(render_devices) > 0:
render_devices = list(filter(lambda x: x.startswith("cuda:"), render_devices))
render_devices = list(filter(lambda x: x.startswith("cuda:") or x == "mps", render_devices))
if len(render_devices) == 0:
raise Exception(
'Invalid render_devices value in config.json. Valid: {"render_devices": ["cuda:0", "cuda:1"...]}, or {"render_devices": "cpu"} or {"render_devices": "auto"}'
'Invalid render_devices value in config.json. Valid: {"render_devices": ["cuda:0", "cuda:1"...]}, or {"render_devices": "cpu"} or {"render_devices": "mps"} or {"render_devices": "auto"}'
)
render_devices = list(filter(lambda x: is_device_compatible(x), render_devices))
@ -64,13 +64,26 @@ def get_device_delta(render_devices, active_devices):
return devices_to_start, devices_to_stop
def is_mps_available():
return (
platform.system() == "Darwin"
and hasattr(torch.backends, "mps")
and torch.backends.mps.is_available()
and torch.backends.mps.is_built()
)
def is_cuda_available():
return torch.cuda.is_available()
def auto_pick_devices(currently_active_devices):
global mem_free_threshold
if platform.system() == "Darwin" and torch.backends.mps.is_available() and torch.backends.mps.is_built():
if is_mps_available():
return ["mps"]
if not torch.cuda.is_available():
if not is_cuda_available():
return ["cpu"]
device_count = torch.cuda.device_count()
@ -160,10 +173,12 @@ def needs_to_force_full_precision(context):
def get_max_vram_usage_level(device):
if device != "cpu":
if "cuda" in device:
_, mem_total = torch.cuda.mem_get_info(device)
mem_total /= float(10**9)
else:
return "high"
mem_total /= float(10**9)
if mem_total < 4.5:
return "low"
elif mem_total < 6.5:
@ -200,7 +215,7 @@ def is_device_compatible(device):
log.error(str(e))
return False
if device == "cpu":
if device in ("cpu", "mps"):
return True
# Memory check
try:

9
ui/easydiffusion/task_manager.py
View File

@ -385,7 +385,7 @@ def get_devices():
}
def get_device_info(device):
if "cuda" not in device:
if device in ("cpu", "mps"):
return {"name": device_manager.get_processor_name()}
mem_free, mem_total = torch.cuda.mem_get_info(device)
@ -400,14 +400,17 @@ def get_devices():
}
# list the compatible devices
gpu_count = torch.cuda.device_count()
for device in range(gpu_count):
cuda_count = torch.cuda.device_count()
for device in range(cuda_count):
device = f"cuda:{device}"
if not device_manager.is_device_compatible(device):
continue
devices["all"].update({device: get_device_info(device)})
if device_manager.is_mps_available():
devices["all"].update({"mps": get_device_info("mps")})
devices["all"].update({"cpu": get_device_info("cpu")})
# list the activated devices