Add llama jobs on Arm64 and reduce llama jobs on MacOS #9251
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/9251
Note: Links to docs will display an error until the docs builds have been completed. ❌ 2 New Failures, 70 PendingAs of commit 1df852b with merge base 718aa6f ( NEW FAILURES - The following jobs have failed:
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jackzhxng
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Mar 14, 2025
| strategy: | ||
| matrix: | ||
| dtype: [fp32] | ||
| mode: [mps, coreml, xnnpack+custom+quantize_kv] |
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What about xnnpack+custom+qe?
| runner: [linux.2xlarge, linux.arm64.2xlarge] | ||
| docker-image: [executorch-ubuntu-22.04-clang12, executorch-ubuntu-22.04-gcc11-aarch64] | ||
| include: | ||
| - dtype: bf16 |
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Wouldn't it be useful to test portable?
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It is part of the trunk job now
mergennachin
commented
Mar 14, 2025
| matrix: | ||
| dtype: [fp32] | ||
| mode: [portable, xnnpack+kv+custom, mps, coreml, xnnpack+custom+quantize_kv] | ||
| mode: [portable, xnnpack+custom] |
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@jackzhxng here
mergennachin
commented
Mar 14, 2025
| strategy: | ||
| matrix: | ||
| dtype: [fp32] | ||
| mode: [mps, coreml, xnnpack+custom+quantize_kv] |
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basically, i'm reducing the test coverage on iOS, and relying on Arm64 runners
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And it is tested on the pull job
jackzhxng
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Mar 14, 2025
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Reduce macos llama runners
Add arm64 llama runners: distribute into pull.yml and trunk.yml jobs.