Improve custom ops aliasing error message (pytorch#134688)

Fixes pytorch#134278

Test Plan:
- tested locally
Pull Request resolved: pytorch#134688
Approved by: https://github.com/yushangdi
ghstack dependencies: pytorch#134466, pytorch#134490, pytorch#134491, pytorch#134690, pytorch#134692

Author: zou3519

torch/_library/custom_ops.py

@@ -332,12 +332,16 @@ def backend_impl(*args, **kwargs):
                                 fn = self._backend_fns[device_type]
                                 module = inspect.getmodule(fn)
                                 raise RuntimeError(
-                                    f"Tensors returned from custom ops (1) must not "
-                                    f"be inputs to the custom op and (2) may not alias "
-                                    f"any inputs or other returns. Please clone the "
-                                    f"the offending output tensors (e.g. output.clone()) "
-                                    f"or refactor your code. "
-                                    f"Offending op: {self._name} (with implementation in {module})"
+                                    f"{self._name} (with implementation in {module}): "
+                                    f"The output of this custom operator (1) must not "
+                                    f"also be an input to this custom operator and "
+                                    f"(2) may not alias any inputs to this custom operator "
+                                    f"or other returns. "
+                                    f"The most common way to trigger this error is if "
+                                    f"we have y = custom_op(x) and y and x are the same Tensor. "
+                                    f"Please instead return a clone of the offending output "
+                                    f"tensor(s) (e.g. return x.clone()) or refactor the custom "
+                                    f"operator to not return y."
                                 )
                             storages.add(key)
                         return result