Add stacktraces column to calculate_numeric_gap API

[Gasoonjia]

Summary:
This diff enhances the calculate_numeric_gap API in the Inspector to include stack trace information for each operator in the generated DataFrame.

Previously, users could identify operators with numerical discrepancies but had to manually trace back to the source code. Now, the API returns a stacktraces column where each entry is a dictionary mapping operator names (aot_ops) to their corresponding stack traces from the eager model code.

This makes debugging numerical issues more efficient by providing direct links to the source code locations of problematic operators.

Differential Revision: D94713076

[pytorch-bot]

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✅ You can merge normally! (4 Unrelated Failures)

As of commit 82345c8 with merge base 153adbf ():

BROKEN TRUNK - The following jobs failed but were present on the merge base:

👉 Rebase onto the `viable/strict` branch to avoid these failures

• pull / unittest / macos / macos-job (gh) (trunk failure)
  AttributeError: '_OpNamespace' 'mkldnn' object has no attribute '_is_mkldnn_acl_supported'
• pull / unittest-editable / macos / macos-job (gh) (trunk failure)
  AttributeError: '_OpNamespace' 'mkldnn' object has no attribute '_is_mkldnn_acl_supported'
• Test CUDA Windows Export and E2E / test-model-cuda-windows-e2e (mistralai, Voxtral-Mini-3B-2507, non-quantized) / windows-job (gh) (trunk failure)
  Process completed with exit code 1.
• Test CUDA Windows Export and E2E / test-model-cuda-windows-e2e (mistralai, Voxtral-Mini-3B-2507, quantized-int4-weight-only) / windows-job (gh) (trunk failure)
  Process completed with exit code 1.

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[meta-codesync]

@Gasoonjia has exported this pull request. If you are a Meta employee, you can view the originating Diff in D94713076.

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