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[llama runner] add xnnpack backend #2585
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/2585
Note: Links to docs will display an error until the docs builds have been completed. ❌ 10 New Failures, 1 Unrelated FailureAs of commit 1b99d29 with merge base 24fe99c ( NEW FAILURES - The following jobs have failed:
BROKEN TRUNK - The following job failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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@mcr229 has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator. |
…cutorch into xnnpack_llama_runner
@mcr229 has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator. |
The only reference to this was removed in pytorch#2585 Test Plan: CI
Adding support for OSS Dynamically Quantized Linear via XNNPACK for llama models.
This now works for cmake on non-mac devices. Additionally, we modified the test-llama-runner-linux work flow and script to test exporting and running via XNNPACK DQ Linear