Add memory overlap check to meta_copy_

test/test_torch.py

@@ -8274,7 +8274,6 @@ def test_copy_broadcast(self):
     # FIXME: Port to a more appropriate test suite
     # Fails with inductor (and aot_eager) because functionalization replaces copy_ with copy,
     # which doesn't properly error on bad inputs.
-    @skipIfTorchInductor("FIXME")
     def test_copy_many_to_one(self):
         # Testing in-place copy where it attempt to write from many memory
         # storage to a single storage would cause RuntimeError to be thrown

torch/_meta_registrations.py

@@ -289,6 +289,16 @@ def meta_copy_(self, src, non_blocking=False):
     # which runs most of the meta checks that we care about.
     # In theory, we should make this more robust by carefully
     # auditing our C++ copy_() kernel and copying the checks here.
+
+    if self.numel() == 0:
+        return self
+
+    for dim in range(self.ndim):
+        if self.stride(dim) == 0 and self.size(dim) > 1:
+            raise RuntimeError(
+                "more than one element of the written-to tensor refers to a single memory location"
+            )
+
     intermediate = src.to(self, non_blocking)
     if self.size() != intermediate.size():
         aten.expand_copy.default(intermediate, self.size())