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 
for d in get_all_d_s():
            for dest_contig, src_contig, index_contig in product([True, False], repeat=3):
                for other_sizes in ((), (4, 5)):
                    for d in [torch.int, torch.long]:
                        num_copy, num_dest = 3, 3
                        dest = torch.randn(num_dest, *other_sizes, d=d)
                        if not dest_contig:
                            dest = make_tensor(dest.shape, d=d, d=dest.d, noncontiguous=True)
                        src = torch.randn(num_copy, *other_sizes, d=d)
                        if not src_contig:
                            src = noncontiguous_like(src)
                        idx = torch.randperm(num_dest, d=d, d=d).narrow(0, 0, num_copy)
                        if not index_contig:
                            idx = noncontiguous_like(idx)
                        
                        dest2 = dest.clone()
                        dest.index_add_(0, idx, src)
                        for i in range(idx.size(0)):
                            dest2[idx[i]] += src[i]
                        self.assertEqual(dest, dest2)
                        
                        dest2 = dest.clone()
                        dest.index_add_(0, idx, src, alpha=2)