fix(api): use Torch JIT and fallback loading
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@ -214,10 +214,6 @@ def load_torch(name: str, map_location=None) -> Optional[Dict]:
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def load_tensor(name: str, map_location=None) -> Optional[Dict]:
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if not path.exists(name):
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logger.warning("tensor does not exist: %s", name)
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return None
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logger.debug("loading tensor: %s", name)
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_, extension = path.splitext(name)
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extension = extension[1:].lower()
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@ -239,13 +235,13 @@ def load_tensor(name: str, map_location=None) -> Optional[Dict]:
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checkpoint = safetensors.torch.load_file(name, device="cpu")
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elif extension in ["bin", "ckpt", "pt"]:
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logger.debug("loading pickle tensor")
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checkpoint = torch.load(name, map_location=map_location)
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checkpoint = load_torch(name, map_location=map_location)
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elif extension in ["onnx", "pt"]:
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logger.warning("tensor has ONNX extension, falling back to PyTorch: %s", extension)
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checkpoint = torch.load(name, map_location=map_location)
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checkpoint = load_torch(name, map_location=map_location)
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else:
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logger.warning("unknown tensor type, falling back to PyTorch: %s", extension)
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checkpoint = torch.load(name, map_location=map_location)
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checkpoint = load_torch(name, map_location=map_location)
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if "state_dict" in checkpoint:
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checkpoint = checkpoint["state_dict"]
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