multiple docs

torch/_storage_docs.py

@@ -15,26 +15,26 @@ storage_classes = [
 ]
 
 
-def add_docstr_all(classes, method, docstr):
-    for cls_name in classes:
+def add_docstr_all(method, docstr):
+    for cls_name in storage_classes:
         cls = getattr(torch._C, cls_name)
-        add_docstr(getattr(cls, method),
-                   docstr.format(
-                       cls_name.replace('Base', ''),
-                       cls_name.replace('StorageBase', '')))
+        try:
+            add_docstr(getattr(cls, method), docstr)
+        except AttributeError:
+            pass
 
 
-add_docstr_all(storage_classes, 'from_file',
+add_docstr_all('from_file',
                """
-from_file(filename, shared=False, size=0) -> {0}
+from_file(filename, shared=False, size=0) -> Storage
 
 If shared is True then memory is shared between all processes. All changes are
 written to the file. If shared is False then the changes on the storage do not
 affect the file.
 
 Size is the number of elements in the storage. If shared is False then the file
-must contain at least `size * sizeof({1})` bytes. If shared is True the file
-will be created if needed.
+must contain at least `size * sizeof(Type)` bytes (`Type` is the type of storage).
+If shared is True the file will be created if needed.
 
 Args:
     filename (str): file name to map