slat_decoder_mesh failed.

## Question description
I'm able to access and visualize outputs["gs"] correctly via the [supersplat editor](https://superspl.at/editor), but output["glb"] returns empty. Tracing this back to the decode_slat function:

device: NVIDIA GeForce RTX 4090 (48GB)

```python
def decode_slat(
self,
slat: sp.SparseTensor,
formats: List[str] = ["mesh", "gaussian"],
) -> dict:
"""
Decode the structured latent.

Args:
slat (sp.SparseTensor): The structured latent.
formats (List[str]): The formats to decode the structured latent to.

Returns:
dict: The decoded structured latent.
"""
logger.info("Decoding sparse latent...")
ret = {}
with torch.no_grad():
if "mesh" in formats:
ret["mesh"] = self.models["slat_decoder_mesh"](slat)
if "gaussian" in formats:
ret["gaussian"] = self.models["slat_decoder_gs"](slat)
if "gaussian_4" in formats:
ret["gaussian_4"] = self.models["slat_decoder_gs_4"](slat)
# if "radiance_field" in formats:
# ret["radiance_field"] = self.models["slat_decoder_rf"](slat)
return ret
```
the issue occurs at ret["mesh"] = self.models["slat_decoder_mesh"](slat). Going further, I found that NaN values appear during the forward pass of
'sam3d_objects.model.backbone.tdfy_dit.models.structured_latent_vae.decoder_mesh.SLatMeshDecoderTdfyWrapper'. I have checked the model weight loading, and the weights are loaded correctly." Has anyone encountered similar issues? Any suggestions on what might cause NaN only in the mesh decoder?