Add a specific random seed to the post-install verification example

[jypeter]

📚 Documentation

The current Verification example generates a random matrix and says The output should be something similar to

I think it would be useful to add a line specifying an explicit random seed that would create a similar output each time you run the example

The example would then become something like

>>> import torch
>>> torch.manual_seed(1234)
<torch._C.Generator object at 0x2b5aa9011ef0>
>>> x = torch.rand(5, 3)
>>> print(x)
tensor([[0.0290, 0.4019, 0.2598],
        [0.3666, 0.0583, 0.7006],
        [0.0518, 0.4681, 0.6738],
        [0.3315, 0.7837, 0.5631],
        [0.7749, 0.8208, 0.2793]])

I have used the same random seed on 2 different Linux clusters and one Windows laptop, and I got the very same result. I was using the CPU version in the 3 cases, but I assume I would get the same output matrix on a GPU (I hope...)

>>> torch.cuda.is_available()
False