Platforms: linux

This test was disabled because it is failing on master ([recent examples](http://torch-ci.com/failure/test_torch.py%3A%3ATestTorch%3A%3Atest_equal)).

The cause seems to point to https://github.com/pytorch/pytorch/pull/100024 (or D45282119 as it was landed internally)

cc @mruberry @houseroad @ezyang 
if not hasattr(large_expanded, fn + "_"):
            return
        
        large_expanded_clone = large_expanded.clone()
        def tensorfn_inplace(t0, t1, t2=None):
            t0_fn = getattr(t0, fn + "_")
            if fn == "lerp":
                return t0_fn(t1, 0.5)
            elif fn == "masked_scatter":
                return t0_fn(t1 < 0.5, full1d)
            elif fn == "masked_fill":
                return t0_fn(t1 < 0.5, 1.0)
            elif fn == "map":
                return t0_fn(t1, lambda x, y: x + y)
            elif fn == "map2":
                return t0_fn(t1, t2, lambda x, y, z: x + y + z)
            elif fn in fns_3_args:
                return t0_fn(1.0, t1, t2)
            elif fn in fns_value_kwarg:
                return t0_fn(t1, t2, value=1.0)
            else:
                return t0_fn(t1)
        
        
        if (0 not in large_expanded.stride() and 0 not in large_expanded_clone.stride()):
            r1 = tensorfn_inplace(large_expanded, small_expanded, small2_expanded)
            r2 = tensorfn_inplace(large_expanded_clone, small, small2)
            self.assertEqual(r1, r2)
        def broadcastable(t0, t1, t2=None):