Update _torchscript_model_adapter.py

converting the input to the model to float to avoid numpy array errors

bioimageio/core/model_adapters/_torchscript_model_adapter.py

@@ -60,7 +60,7 @@ def forward(self, *batch: Optional[Tensor]) -> List[Optional[Tensor]]:
         assert torch is not None
         with torch.no_grad():
             torch_tensor = [
-                None if b is None else torch.from_numpy(b.data.data).to(self.devices[0])
+                None if b is None else torch.from_numpy(b.data.data.astype("float32")).to(self.devices[0])
                 for b in batch
             ]
             _result: Union[  # pyright: ignore[reportUnknownVariableType]