fix:gpu support
Browse files
script.py
CHANGED
@@ -21,8 +21,8 @@ class PytorchWorker:
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def _load_model(model_name, model_path):
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print("Setting up Pytorch Model")
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device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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print(f"Using devide: {device}")
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model = timm.create_model(model_name, num_classes=number_of_categories, pretrained=False)
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@@ -31,10 +31,10 @@ class PytorchWorker:
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# else:
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# model_ckpt = torch.load(model_path)
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model_ckpt = torch.load(model_path, map_location=
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model.load_state_dict(model_ckpt)
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return model.to(device).eval()
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self.model = _load_model(model_name, model_path)
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@@ -50,7 +50,7 @@ class PytorchWorker:
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:return: A list with logits and confidences.
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"""
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-
logits = self.model(self.transforms(image).unsqueeze(0))
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return logits.tolist()
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def _load_model(model_name, model_path):
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print("Setting up Pytorch Model")
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self.device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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print(f"Using devide: {self.device}")
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model = timm.create_model(model_name, num_classes=number_of_categories, pretrained=False)
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# else:
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# model_ckpt = torch.load(model_path)
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model_ckpt = torch.load(model_path, map_location=self.device)
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model.load_state_dict(model_ckpt)
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return model.to(self.device).eval()
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self.model = _load_model(model_name, model_path)
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:return: A list with logits and confidences.
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"""
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logits = self.model(self.transforms(image).unsqueeze(0).to(self.device))
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return logits.tolist()
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