csdfg can not handle torch.rand() tensor in getting_started.ipynb

**Describe the bug**
I replace `[12] tester = np.random.rand(2000, 4000)` by
```
import torch
tester = torch.rand(2000,4000)
tester
```
and `%timeit csdfg(A=tester, N=np.int32(2000))` by
`%timeit csdfg(A=tester,N=2000)`
which means use torch.tensor() to replace numpy array as input, but we almost get an error of "Kernel Restarting":

**To Reproduce**
Changes the code as I mentioned, then run all cells.

**Expected behavior**
Output the time of `csdfg(A=tester,N=2000)`.

**Screenshots**
Almost we will get an error:

Sometimes we can get expect result (without any code changes):

**Desktop (please complete the following information):**
- OS: Linux
- Browser: Chrome
- Version: 106.0.52

**Additional context**
The error also occurs on Windows OS.