Add complex type support to div operator

[GeorgeTzoupis]

Summary: As titled

Differential Revision: D93086411

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/17414

• 📄 Preview Python docs built from this PR

Note: Links to docs will display an error until the docs builds have been completed.

❌ 4 New Failures

As of commit 61b6d1d with merge base c229dbc ():

NEW FAILURES - The following jobs have failed:

• Test CUDA Builds / export-model-cuda-artifact (google, gemma-3-4b-it, quantized-int4-tile-packed) / linux-job (gh)
  RuntimeError: Command docker exec -t 1766b7ad5edeeb0158ef32e77fa1b2f4c3fa66a3e8ffbeeb35f88ccf0be8f660 /exec failed with exit code 1
• Test CUDA Builds / export-model-cuda-artifact (nvidia, parakeet-tdt, quantized-int4-tile-packed) / linux-job (gh)
  RuntimeError: Command docker exec -t 8d7b377ca53c179d980a77b4ffe608afe5eeac136ebbba89e2559c7c5f10c167 /exec failed with exit code 1
• Test CUDA Builds / test-models-cuda (add_mul) / linux-job (gh)
  RuntimeError: Command docker exec -t d5284d6509dc84fcbf5151bea77a3ab383e7ff0d74c1301e66c0e47f41a0ea4b /exec failed with exit code 1
• Test CUDA Builds / test-models-cuda (resnet18) / linux-job (gh)
  RuntimeError: Command docker exec -t 9999c1f7e38b2953fe125bdc6c7bea3b47798fcbf32ebc3e5f968767f3d841b4 /exec failed with exit code 1

This comment was automatically generated by Dr. CI and updates every 15 minutes.

[meta-codesync]

@GeorgeTzoupis has exported this pull request. If you are a Meta employee, you can view the originating Diff in D93086411.

[github-actions]

This PR needs a release notes: label

If your change should be included in the release notes (i.e. would users of this library care about this change?), please use a label starting with release notes:. This helps us keep track and include your important work in the next release notes.

To add a label, you can comment to pytorchbot, for example
@pytorchbot label "release notes: none"

For more information, see
https://github.com/pytorch/pytorch/wiki/PyTorch-AutoLabel-Bot#why-categorize-for-release-notes-and-how-does-it-work.