2025-09-19 nightly release (9b66962e7099846120bbf912114782d23a9ee4bf) #6011
pytorchbotbuild_wheels_genai_linux_x86.yml
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Matrix: pytorch/FBGEMM / build
Matrix: pytorch/FBGEMM / upload / upload
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2 errors and 1 warning
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pytorch/FBGEMM / build-manywheel-py3_14t-cuda13_0
The self-hosted runner lost communication with the server. Verify the machine is running and has a healthy network connection. Anything in your workflow that terminates the runner process, starves it for CPU/Memory, or blocks its network access can cause this error.
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pytorch/FBGEMM / upload / upload-manywheel-py3_14t-cuda13_0
Unable to download artifact(s): Artifact not found for name: pytorch_FBGEMM__3.14t_cu130_x86_64
Please ensure that your artifact is not expired and the artifact was uploaded using a compatible version of toolkit/upload-artifact.
For more information, visit the GitHub Artifacts FAQ: https://github.com/actions/toolkit/blob/main/packages/artifact/docs/faq.md
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filter-matrix
The `python-version` input is not set. The version of Python currently in `PATH` will be used.
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Artifacts
Produced during runtime
| Name | Size | Digest | |
|---|---|---|---|
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pytorch_FBGEMM__3.10_cu126_x86_64
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15.8 MB |
sha256:051002ac42c481b44bac4604911bfffae675c2f6ac7301f81655a8c65272c3b7
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pytorch_FBGEMM__3.10_cu128_x86_64
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44.9 MB |
sha256:cedd0ef7a5ea076fc75fc3cbe1d543691641098877cc707dd980de9fe70c6ae2
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pytorch_FBGEMM__3.10_cu130_x86_64
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42.8 MB |
sha256:bf9f49baa0d7c5e248fadecd4beaad18a1c44c48d2917ee79257f444b52a8aec
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pytorch_FBGEMM__3.10_rocm6.3_x86_64
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11.2 MB |
sha256:f50b74430f5a7dcc19f7b6821ec6985902f2014f4e88b0e290ea359886fb9919
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pytorch_FBGEMM__3.10_rocm6.4_x86_64
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11.2 MB |
sha256:69235780b5f6f832587e3d037d32dab742c55651b8f594c60e76186414db78d6
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pytorch_FBGEMM__3.11_cu126_x86_64
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15.8 MB |
sha256:6b782238a02373100ed1858bd962b2eae00e21438ed3e64f63b7ba293aab1e4c
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pytorch_FBGEMM__3.11_cu128_x86_64
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45 MB |
sha256:a8a998bca83b8dd35850ecb4a31760a879a15761aa37cf0a728260f3a88bdab4
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pytorch_FBGEMM__3.11_cu130_x86_64
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42.8 MB |
sha256:7b1e823be48fe33cce29f6bacf1028e4da6eb90930f406e0868761d650c43fc5
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pytorch_FBGEMM__3.11_rocm6.3_x86_64
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11.2 MB |
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pytorch_FBGEMM__3.11_rocm6.4_x86_64
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11.2 MB |
sha256:67c1be96f64878d894dbaa79aff8e759cbe6720daa217d9b650c41c536024970
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pytorch_FBGEMM__3.12_cu126_x86_64
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15.8 MB |
sha256:78560025fcffa6e12e9485b79e26e844b0aaa81c65acbd99ae57d0ba4ab9b71c
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pytorch_FBGEMM__3.12_cu128_x86_64
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44.9 MB |
sha256:b3efedef1037811f5c2ada4fdf689dd265e80c0f9b7449dc8977404b0ebc3063
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pytorch_FBGEMM__3.12_cu130_x86_64
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42.8 MB |
sha256:917ac565594cf9fdba8bc6598cc6d61d7b1fa2df6255c3fd4ae776fc5e6df900
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pytorch_FBGEMM__3.12_rocm6.3_x86_64
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11.2 MB |
sha256:8e3b41002439bc0b765681510d29d655c93122440f69a1090458df546aa7f964
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pytorch_FBGEMM__3.12_rocm6.4_x86_64
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11.2 MB |
sha256:4143fdb6bf60602e31c7584c77db82664a8f5af3dd95becf4ff89cb6d2770c46
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pytorch_FBGEMM__3.13_cu126_x86_64
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15.8 MB |
sha256:430fdd5cd83b0525616501ebdae2732cbf0096c8ea2264e2ebfbfc623507f3a8
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pytorch_FBGEMM__3.13_cu128_x86_64
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44.9 MB |
sha256:ee6f59571801eaf27c9f5e8fab6069a2253c0a4d0cdedfde8d57db3c7f992015
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pytorch_FBGEMM__3.13_cu130_x86_64
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42.8 MB |
sha256:c601b1493f06793210bb8258e31c900bbb5cd862b99c271994b53fc11d18495e
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pytorch_FBGEMM__3.13_rocm6.3_x86_64
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11.1 MB |
sha256:71dcbcb0e171c7269ba076a459aa448c18a2becd5f210fdcb302ce31e275ec86
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pytorch_FBGEMM__3.13_rocm6.4_x86_64
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11.2 MB |
sha256:83a2f1cd03989fadb2771c6ba8425abc6ccda0c130195905ace50aae6a9d723f
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pytorch_FBGEMM__3.13t_cu126_x86_64
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15.8 MB |
sha256:f1e547815b8155b655274b5ff4cb5d21ea4e75644f9c2871c81f16caacc0c5c8
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pytorch_FBGEMM__3.13t_cu128_x86_64
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44.9 MB |
sha256:2e47d2efae0be1ae2f67615fceba885c06560e389a945aa2b2daec6956fc1a7e
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pytorch_FBGEMM__3.13t_cu130_x86_64
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42.8 MB |
sha256:b6b9b3edb608d399954c68bbff9cfa6884cd6e78c40f4a542fd588e3b642b493
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pytorch_FBGEMM__3.14_cu126_x86_64
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15.8 MB |
sha256:caa677155c06ad3dca2157ba343306103b078ae2d5ebc30e01779846f2faff5d
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pytorch_FBGEMM__3.14_cu128_x86_64
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44.9 MB |
sha256:1a04b5b890f33c62517463c6a8ad181a8a4f0494a9d5daa6a286c1cf60584e6f
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pytorch_FBGEMM__3.14_cu130_x86_64
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42.8 MB |
sha256:d06e788cec5af7d16fa92880e298f802a066c7fea496e07f8f78010d90d3d99d
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pytorch_FBGEMM__3.14_rocm6.3_x86_64
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11.1 MB |
sha256:73d56f52f1b56de8f4ef0176834cd2beda3ae7d2f36db780febb60ba91f16f1d
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pytorch_FBGEMM__3.14_rocm6.4_x86_64
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11.2 MB |
sha256:6b3a9f725788874ea62fc30810fe21b722b8f8933806bf7024f1e47c8c5d4dfe
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pytorch_FBGEMM__3.14t_cu126_x86_64
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15.8 MB |
sha256:5cff48caa21973b4374ef9ed4004058e9a4468f3c5bb1603ca18196038fb7fba
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pytorch_FBGEMM__3.14t_cu128_x86_64
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44.9 MB |
sha256:c8536cbb92df1eefa74160da81e885a973849c3bc045cdb3e899ba4315baf292
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pytorch_FBGEMM__3.14t_rocm6.3_x86_64
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11.2 MB |
sha256:bfab2411d8311a002a66a73f0b113409cec60074f6d944b26d40de37bc3d7e31
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pytorch_FBGEMM__3.14t_rocm6.4_x86_64
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11.2 MB |
sha256:af02c0598c5dd3cd632057d26be65aaf1ff760ad5819e7db46f1fb4de7fd31d0
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