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

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Assessment

Difficulty
2/5
Estimated time
1-3 hours
Newbie friendliness
72/100
Issue type
Documentation
Clarity
Mostly clear
Activity status
Quiet
Tech stack
python
Domain
documentation

Research direction

Start at the Linux Verification example linked in the issue and inspect the website source for that section. Add an explicit random seed and matching example output, then verify that the documented CPU result is consistent with the stated example and that the verification steps remain accurate.

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Description

📚 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
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