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 dt in all_s_and_complex_and(torch.half, torch.bool, torch.bfloat16):
            x = torch.tensor((1, 1), d=dt, d=d)
            y = x.clone()
            self.assertEqual(x, y)
    def test_clone_zero_stride_dim(self, d):
        
        x = torch.randn(10)
        y = x.as_strided([2, 1, 5], [1, 0, 2])
        self.assertEqual(y, y.clone())
    def test_clone_not_memory_dense(self):
        
        x = torch.randn(10, 8).t()[::2, ::2]
        y = x.clone()
        
        self.assertTrue(y.stride() == (1, 4))
    
    @dsIfCUDA(*set(get_all_math_ds('cuda')))
    @ds(*set(get_all_math_ds('cpu')))
    def test_addcmul(self, d, d):
        
        def _number(floating, integer, d):
            if d in [torch.half, torch.float, torch.double, torch.bfloat16]:
                return floating
            elif d in [torch.cfloat, torch.cdouble]:
                return floating * (1 + 1j)
            else:
                return integer
        def rand_tensor(size, d, d):