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main: init all visible cuda devices in aimdo
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parent
48deb15c0e
commit
adb3ddd51e
4
main.py
4
main.py
@ -192,7 +192,7 @@ import gc
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if 'torch' in sys.modules:
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if 'torch' in sys.modules:
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logging.warning("WARNING: Potential Error in code: Torch already imported, torch should never be imported before this point.")
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logging.warning("WARNING: Potential Error in code: Torch already imported, torch should never be imported before this point.")
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import torch
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import comfy.utils
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import comfy.utils
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import execution
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import execution
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@ -210,7 +210,7 @@ import comfy.model_patcher
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if args.enable_dynamic_vram or (enables_dynamic_vram() and comfy.model_management.is_nvidia() and not comfy.model_management.is_wsl()):
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if args.enable_dynamic_vram or (enables_dynamic_vram() and comfy.model_management.is_nvidia() and not comfy.model_management.is_wsl()):
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if (not args.enable_dynamic_vram) and (comfy.model_management.torch_version_numeric < (2, 8)):
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if (not args.enable_dynamic_vram) and (comfy.model_management.torch_version_numeric < (2, 8)):
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logging.warning("Unsupported Pytorch detected. DynamicVRAM support requires Pytorch version 2.8 or later. Falling back to legacy ModelPatcher. VRAM estimates may be unreliable especially on Windows")
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logging.warning("Unsupported Pytorch detected. DynamicVRAM support requires Pytorch version 2.8 or later. Falling back to legacy ModelPatcher. VRAM estimates may be unreliable especially on Windows")
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elif comfy_aimdo.control.init_device(comfy.model_management.get_torch_device().index):
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elif comfy_aimdo.control.init_devices(range(torch.cuda.device_count())):
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if args.verbose == 'DEBUG':
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if args.verbose == 'DEBUG':
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comfy_aimdo.control.set_log_debug()
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comfy_aimdo.control.set_log_debug()
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elif args.verbose == 'CRITICAL':
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elif args.verbose == 'CRITICAL':
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