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kronos-venv/lib/python3.12/site-packages/torch/_classes.py

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+import types
+from typing import Any
+
+import torch._C
+
+
+class _ClassNamespace(types.ModuleType):
+    def __init__(self, name: str) -> None:
+        super().__init__("torch.classes" + name)
+        self.name = name
+
+    def __getattr__(self, attr: str) -> Any:
+        proxy = torch._C._get_custom_class_python_wrapper(self.name, attr)
+        if proxy is None:
+            raise RuntimeError(f"Class {self.name}.{attr} not registered!")
+        return proxy
+
+
+class _Classes(types.ModuleType):
+    __file__ = "_classes.py"
+
+    def __init__(self) -> None:
+        super().__init__("torch.classes")
+
+    def __getattr__(self, name: str) -> _ClassNamespace:
+        namespace = _ClassNamespace(name)
+        setattr(self, name, namespace)
+        return namespace
+
+    @property
+    def loaded_libraries(self) -> Any:
+        return torch.ops.loaded_libraries
+
+    def load_library(self, path: str) -> None:
+        """
+        Loads a shared library from the given path into the current process.
+
+        The library being loaded may run global initialization code to register
+        custom classes with the PyTorch JIT runtime. This allows dynamically
+        loading custom classes. For this, you should compile your class
+        and the static registration code into a shared library object, and then
+        call ``torch.classes.load_library('path/to/libcustom.so')`` to load the
+        shared object.
+
+        After the library is loaded, it is added to the
+        ``torch.classes.loaded_libraries`` attribute, a set that may be inspected
+        for the paths of all libraries loaded using this function.
+
+        Args:
+            path (str): A path to a shared library to load.
+        """
+        torch.ops.load_library(path)
+
+
+# The classes "namespace"
+classes = _Classes()