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 
[
            "dist", "atan2", "pow", "lerp", "add", "sub", "mul", "div", "fmod", "remainder", "eq", "ge", "gt", "le",
            "lt", "max", "min", "ne", "addcdiv", "addcmul", "masked_scatter", "masked_select", "masked_fill", "map",
            "map2", "copy",
        ],
    )
    def test_broadcast(self, fn, d):
        
        fns_3_args = {"map2"}
        fns_value_kwarg = {"addcdiv", "addcmul"}
        (dims_small, dims_large, dims_full) = self._select_broadcastable_dims()
        full1d = torch.randn(*dims_full, d=d).flatten().float()
        small = torch.randn(*dims_small, d=d).float()
        large = torch.randn(*dims_large, d=d).float()
        small_expanded = small.expand(*dims_full)
        large_expanded = large.expand(*dims_full)
        small2 = None
        small2_expanded = None
        if fn in fns_3_args or fn in fns_value_kwarg:
            
            (dims_small2, _, _) = self._select_broadcastable_dims(dims_full)
            small2 = torch.randn(*dims_small2, d=d).float()
            small2_expanded = small2.expand(*dims_full)
        if small.is_cuda and fn in ['map', 'map2']:
            
            return
        if hasattr(large_expanded, fn):
            
            
            expanded = {large: large_expanded, small: small_expanded, small2: small2_expanded}