Fix MagmaInitializesCorrectly_CUDA by using an invertible matrix (#32547)
Summary:
This test case had been using the tensor
```
1 2 3 4
5 6 7 8
9 10 11 12
13 14 15 16
```
which is not an invertible tensor and causes the test case to fail, even if magma gets initialized just fine. This change uses a tensor that is invertible, and the inverse doesn't include any elements that are close to zero to avoid floating point rounding errors.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/32547
Differential Revision: D19572316
Pulled By: ngimel
fbshipit-source-id: 1baf3f8601b2ba69fdd6678d7a3d86772d01edbe