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Display warning on start failure.
Removes spam from exception and continue starting other devices.
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parent
86da27a7a1
commit
4675da4d16
18
ui/server.py
18
ui/server.py
@ -397,7 +397,8 @@ if 'render_devices' in config: # Start a new thread for each device.
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if not isinstance(config['render_devices'], list):
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raise Exception('Invalid render_devices value in config.')
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for device in config['render_devices']:
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task_manager.start_render_thread(device)
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if not task_manager.start_render_thread(device):
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print(device, 'failed to start.')
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if task_manager.is_alive() <= 0: # No running devices, probably invalid user config.
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print('WARNING: No active render devices after loading config. Validate "render_devices" in config.json')
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print('Loading default render devices to replace invalid render_devices field from config', config['render_devices'])
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@ -405,13 +406,18 @@ if 'render_devices' in config: # Start a new thread for each device.
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display_warning = False
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if task_manager.is_alive() <= 0: # Either no defauls or no devices after loading config.
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# Select best GPU device using free memory, if more than one device.
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task_manager.start_render_thread('auto') # Detect best device for renders
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if task_manager.is_alive(0) <= 0: # without cuda:0
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task_manager.start_render_thread('cuda') # An other cuda device is better and cuda:0 is missing, start it...
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display_warning = True # And warn user to update settings...
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if task_manager.start_render_thread('auto'): # Detect best device for renders
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if task_manager.is_alive(0) <= 0: # is not cuda:0
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if task_manager.start_render_thread('cuda'): # An other cuda device is better and cuda:0 is missing, start it...
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display_warning = True # And warn user to update settings...
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else:
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print('Failed to start GPU:0...')
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else:
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print('Failed to start gpu device.')
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if task_manager.is_alive('cpu') <= 0:
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# Allow CPU to be used for renders
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task_manager.start_render_thread('cpu')
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if not task_manager.start_render_thread('cpu'):
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print('Failed to start CPU render device...')
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if display_warning or task_manager.is_alive(0) <= 0:
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print('WARNING: GFPGANer only works on GPU:0, use CUDA_VISIBLE_DEVICES if GFPGANer is needed on a specific GPU.')
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