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 
continue
            d = 'cuda' if storage_class.__module__ == 'torch.cuda' else 'cpu'
            d = storage_class.d
            if d == 'cuda' and not torch.cuda.is_available():
                continue
            
            with self.assertRaisesRegex(RuntimeError, r"'d' cannot be specified"):
                storage_class(d='cpu')
            with self.assertRaisesRegex(RuntimeError, r"'d' cannot be specified"):
                storage_class(d=torch.float)
            with self.assertRaisesRegex(TypeError, r"got an unexpected keyword"):
                storage_class(sdlkjf=torch.float)
            with self.assertRaisesRegex(RuntimeError, r"Too many positional arguments"):
                storage_class(0, 0)
            with self.assertRaisesRegex(TypeError, r"invalid data "):
                storage_class('string')
            with self.assertRaisesRegex(TypeError, r"Argument  not recognized"):
                storage_class(torch.tensor([]))
            s = storage_class()
            with self.assertRaisesRegex(RuntimeError, r"No positional arguments"):
                storage_class(0, wrap_storage=s.und())
            with self.assertRaisesRegex(TypeError, r"must be UndStorage"):
                storage_class(wrap_storage=s)
            if torch.cuda.is_available():
                if storage_class in quantized_storages:
                    with self.assertRaisesRegex(RuntimeError, r"Cannot create CUDA storage with quantized d"):
                        s.cuda()
                else:
                    if s.is_cuda:
                        s_other_d = s.cpu()