forked from extern/easydiffusion
device_selection is already a string, since we've used string functions before this line
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@ -129,7 +129,9 @@ def device_init(device_selection=None):
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thread_data.force_full_precision = False
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thread_data.force_full_precision = False
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thread_data.reduced_memory = True
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thread_data.reduced_memory = True
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if device_selection.lower() == 'cpu':
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device_selection = device_selection.lower()
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if device_selection == 'cpu':
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thread_data.device = 'cpu'
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thread_data.device = 'cpu'
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thread_data.device_name = get_processor_name()
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thread_data.device_name = get_processor_name()
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print('Render device CPU available as', thread_data.device_name)
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print('Render device CPU available as', thread_data.device_name)
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@ -162,10 +164,10 @@ def device_init(device_selection=None):
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print(f'Setting GPU:{device} as active')
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print(f'Setting GPU:{device} as active')
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torch.cuda.device(device)
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torch.cuda.device(device)
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return
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return
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if isinstance(device_selection, str):
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device_selection = device_selection.lower()
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if device_selection.startswith('gpu:'):
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if device_selection.startswith('gpu:'):
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device_selection = int(device_selection[4:])
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device_selection = int(device_selection[4:])
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if device_selection != 'cuda' and device_selection != 'current' and device_selection != 'gpu':
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if device_selection != 'cuda' and device_selection != 'current' and device_selection != 'gpu':
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if device_select(device_selection):
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if device_select(device_selection):
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if isinstance(device_selection, int):
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if isinstance(device_selection, int):
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