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synced 2024-12-22 04:12:38 +00:00
fix: torch.backends check (#280)
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67d567f38c
commit
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@ -32,9 +32,12 @@ class LivePortraitWrapper(object):
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if inference_cfg.flag_force_cpu:
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self.device = 'cpu'
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else:
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if torch.backends.mps.is_available():
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self.device = 'mps'
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else:
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try:
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if torch.backends.mps.is_available():
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self.device = 'mps'
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else:
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self.device = 'cuda:' + str(self.device_id)
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except:
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self.device = 'cuda:' + str(self.device_id)
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model_config = yaml.load(open(inference_cfg.models_config, 'r'), Loader=yaml.SafeLoader)
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@ -344,10 +347,13 @@ class LivePortraitWrapperAnimal(LivePortraitWrapper):
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if inference_cfg.flag_force_cpu:
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self.device = 'cpu'
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else:
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if torch.backends.mps.is_available():
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self.device = 'mps'
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else:
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self.device = 'cuda:' + str(self.device_id)
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try:
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if torch.backends.mps.is_available():
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self.device = 'mps'
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else:
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self.device = 'cuda:' + str(self.device_id)
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except:
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self.device = 'cuda:' + str(self.device_id)
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model_config = yaml.load(open(inference_cfg.models_config, 'r'), Loader=yaml.SafeLoader)
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# init F
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@ -48,15 +48,18 @@ class Cropper(object):
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device = "cpu"
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face_analysis_wrapper_provider = ["CPUExecutionProvider"]
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else:
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if torch.backends.mps.is_available():
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# Shape inference currently fails with CoreMLExecutionProvider
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# for the retinaface model
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device = "mps"
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face_analysis_wrapper_provider = ["CPUExecutionProvider"]
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else:
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device = "cuda"
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face_analysis_wrapper_provider = ["CUDAExecutionProvider"]
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try:
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if torch.backends.mps.is_available():
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# Shape inference currently fails with CoreMLExecutionProvider
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# for the retinaface model
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device = "mps"
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face_analysis_wrapper_provider = ["CPUExecutionProvider"]
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else:
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device = "cuda"
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face_analysis_wrapper_provider = ["CUDAExecutionProvider"]
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except:
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device = "cuda"
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face_analysis_wrapper_provider = ["CUDAExecutionProvider"]
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self.face_analysis_wrapper = FaceAnalysisDIY(
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name="buffalo_l",
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root=self.crop_cfg.insightface_root,
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