[fbgemm_gpu] Update Nova jobs #3890
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q10
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Mar 27, 2025
q10
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- Update Nova jobs
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huydhn
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Apr 4, 2025
| needs: generate-matrix | ||
| strategy: | ||
| fail-fast: false | ||
| matrix: |
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Nit: There is only one configuration here so you could consider get rid of the matrix and set these parameters directly like the x86 workflow
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Summary: X-link: facebookresearch/FBGEMM#991 Update Nova Jobs to Publish GenAI-only Artifacts. Currently, GenAI code is packaged together into FBGEMM_GPU, which makes the package very large and adds confusion to the customers, who are left wondering why they would need to install a large unrelated package just to be able to use GenAI kernels. So instead, we have a second pair of Nova jobs that publishes `fbgemm_gpu_genai` x86 and aarch64 packages to download.pytorch.org. This builds on top of work in pytorch/test-infra#6478, where we enable a repo to host multiple targets that pytorch test-infra can build and publish. Reviewed By: huydhn, spcyppt Differential Revision: D72103109 Pulled By: q10
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This pull request was exported from Phabricator. Differential Revision: D72103109 |
Summary: X-link: facebookresearch/FBGEMM#991 Update Nova Jobs to Publish GenAI-only Artifacts. Currently, GenAI code is packaged together into FBGEMM_GPU, which makes the package very large and adds confusion to the customers, who are left wondering why they would need to install a large unrelated package just to be able to use GenAI kernels. So instead, we have a second pair of Nova jobs that publishes `fbgemm_gpu_genai` x86 and aarch64 packages to download.pytorch.org. This builds on top of work in pytorch/test-infra#6478, where we enable a repo to host multiple targets that pytorch test-infra can build and publish. Reviewed By: huydhn, spcyppt Differential Revision: D72103109 Pulled By: q10
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This pull request was exported from Phabricator. Differential Revision: D72103109 |
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Apr 10, 2025
Summary: Pull Request resolved: facebookresearch/FBGEMM#991 Update Nova Jobs to Publish GenAI-only Artifacts. Currently, GenAI code is packaged together into FBGEMM_GPU, which makes the package very large and adds confusion to the customers, who are left wondering why they would need to install a large unrelated package just to be able to use GenAI kernels. So instead, we have a second pair of Nova jobs that publishes `fbgemm_gpu_genai` x86 and aarch64 packages to download.pytorch.org. This builds on top of work in pytorch/test-infra#6478, where we enable a repo to host multiple targets that pytorch test-infra can build and publish. X-link: pytorch#3890 Reviewed By: huydhn, spcyppt Differential Revision: D72103109 Pulled By: q10 fbshipit-source-id: 08d00f6b8ad7aecd438ff2c3fe8365bbd04c15da
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