fix(api): use Torch JIT and fallback loading

api/onnx_web/convert/utils.py

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