Upload pytorch3d_stub/pytorch3d/structures/__init__.py with huggingface_hub

pytorch3d_stub/pytorch3d/structures/__init__.py

@@ -1,5 +1,18 @@
-"""pytorch3d.structures stub – Meshes only."""
+"""pytorch3d.structures stub with catch-all."""
 import torch
+import warnings
+
+
+def __getattr__(name):
+    if name.startswith("_"):
+        raise AttributeError(name)
+    warnings.warn(f"pytorch3d.structures stub: {name} not implemented", stacklevel=2)
+    class _Dummy:
+        def __init__(self, *a, **kw): pass
+        def to(self, *a, **kw): return self
+    _Dummy.__name__ = _Dummy.__qualname__ = name
+    return _Dummy
+
 
 class Meshes:
     def __init__(self, verts=None, faces=None, textures=None):
@@ -16,34 +29,20 @@ class Meshes:
         else:
             self._faces_list = []
         self.textures = textures
-
-    def verts_list(self):
-        return self._verts_list
-
-    def faces_list(self):
-        return self._faces_list
-
+    def verts_list(self): return self._verts_list
+    def faces_list(self): return self._faces_list
     def verts_packed(self):
-        if self._verts_list:
-            return torch.cat(self._verts_list, dim=0)
-        return torch.zeros(0, 3)
-
+        return torch.cat(self._verts_list, dim=0) if self._verts_list else torch.zeros(0, 3)
     def faces_packed(self):
-        if self._faces_list:
-            return torch.cat(self._faces_list, dim=0)
-        return torch.zeros(0, 3, dtype=torch.long)
-
+        return torch.cat(self._faces_list, dim=0) if self._faces_list else torch.zeros(0, 3, dtype=torch.long)
     def num_verts_per_mesh(self):
         return torch.tensor([v.shape[0] for v in self._verts_list])
+    def __len__(self): return len(self._verts_list)
 
-    def __len__(self):
-        return len(self._verts_list)
 
 class Pointclouds:
-    """Minimal Pointclouds stub."""
     def __init__(self, points=None, features=None, normals=None):
         self.points_list = points if isinstance(points, list) else ([points] if points is not None else [])
         self.features_list = features if isinstance(features, list) else ([features] if features is not None else [])
         self.normals_list = normals if isinstance(normals, list) else ([normals] if normals is not None else [])
-    def to(self, device):
-        return self
+    def to(self, device): return self