diff --git a/ui/server.py b/ui/server.py index bd42ec58..0dd0adff 100644 --- a/ui/server.py +++ b/ui/server.py @@ -364,24 +364,27 @@ async def check_status(): # Task to Validate user config shortly after startup. # Check that the loaded config.json yielded a server in a known valid state. # When issues are found, try to fix them when possible and warn the user. device_count = 0 - for i in range(10): # Wait for devices to register and/or change names. - await asyncio.sleep(3) + # Wait for devices to register and/or change names. + THREAD_START_DELAY = 5 # seconds - Give time for devices/threads to start. + for i in range(10): # Maximum number of retry. + await asyncio.sleep(THREAD_START_DELAY) new_count = task_manager.is_alive() - if device_count == new_count: break; + # Stops retry once no more devices show up. + if new_count > 0 and device_count == new_count: break device_count = new_count if 'render_devices' in config and task_manager.is_alive() <= 0: # No running devices, probably invalid user config. Try to apply defaults. print('WARNING: No active render devices after loading config. Validate "render_devices" in config.json') task_manager.start_render_thread('auto') # Detect best device for renders task_manager.start_render_thread('cpu') # Allow CPU to be used for renders - await asyncio.sleep(3) # delay message after thread start. + await asyncio.sleep(THREAD_START_DELAY) # delay message after thread start. print('Default render devices loaded to replace missing render_devices', config['render_devices']) display_warning = False if not 'render_devices' in config and task_manager.is_alive(0) <= 0: # No config set, is on auto mode and without cuda:0 task_manager.start_render_thread('cuda') # An other cuda device is better and cuda:0 is missing, start it... display_warning = True # And warn user to update settings... - await asyncio.sleep(3) # delay message after thread start. + await asyncio.sleep(THREAD_START_DELAY) # delay message after thread start. if display_warning or task_manager.is_alive(0) <= 0: print('WARNING: GFPGANer only works on GPU:0, use CUDA_VISIBLE_DEVICES if GFPGANer is needed on a specific GPU.')