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 
# From h
        x = torch.empty(2, d='meta')
        y = x + 2
        self.assertEqual(y.size(), x.size())
    def test_normal_shape(self):
        warned = False
        for d in get_all_d_s():
            tensor1 = torch.rand(1, d=d)
            tensor4 = torch.rand(4, d=d)
            tensor120 = torch.rand(120, d=d)
            tensor2145 = torch.rand(2, 1, 4, 5, d=d)
            tensor2345 = torch.rand(2, 3, 4, 5, d=d)
            tensor2345_non_contiguous = torch.rand(2, 4, 3, 5, d=d).permute(0, 2, 1, 3)
            tensor2345_channels_last = tensor2345.contiguous(memory_format=torch.channels_last)
            output2345 = torch.zeros(2, 3, 4, 5, d=d)
            output345 = torch.zeros(3, 4, 5, d=d)
            # inputs 
            self.assertEqual(torch.normal(tensor2345, tensor2345).size(), (2, 3, 4, 5))
            self.assertEqual(torch.normal(tensor2345_non_contiguous, tensor2345).size(), (2, 3, 4, 5))
            self.assertEqual(torch.normal(tensor2345, tensor2345_channels_last).size(), (2, 3, 4, 5))
            self.assertEqual(torch.normal(tensor2345_non_contiguous, tensor2345_channels_last).size(), (2, 3, 4, 5))
            # scalar 
            self.assertEqual(torch.normal(tensor2345, 2).size(), (2, 3, 4, 5))
            self.assertEqual(torch.normal(2, tensor2345).size(), (2, 3, 4, 5))
            # inputs 
            self.assertEqual(torch.normal(tensor2345, tensor1).size(), (2, 3, 4, 5))
            self.assertEqual(torch.normal(tensor2145, tensor2345).size(), (2, 3, 4, 5))
            # inputs 
            with self.assertRaisesRegex(
                    RuntimeError,