Add how to use C++ wrapper with X86InductorQuantizer

[leslie-fang-intel]

Description

This diff updates tutorial of PyTorch 2 Export Post Training Quantization with X86 Backend through Inductor with CPPWrapper support.

Checklist

• The issue that is being fixed is referred in the description (see above "Fixes #ISSUE_NUMBER")
• Only one issue is addressed in this pull request
• Labels from the issue that this PR is fixing are added to this pull request
• No unnecessary issues are included into this pull request.

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/2716

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As of commit 45bd45b with merge base d1ebbd3 ():
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[leslie-fang-intel]

cc @jgong5 @jerryzh168 @svekars please help to take a look of this PR.

[leslie-fang-intel]

Hi @svekars Could you kindly take a look and merge this PR first? Afterward, I can attempt to rebase #2717 with it.