2025-09-21 nightly release (3cefe0564a8c3de514a152d40a2b4770f2ee5be0) #6028
build_wheels_genai_linux_x86.yml
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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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15.4 MB |
sha256:9c2ee839a586ba198f0c21e92de43376bc140fa4350b440e6259a6e7a1288d6d
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pytorch_FBGEMM__3.10_cu128_x86_64
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43.9 MB |
sha256:b54fcdeb4bc29b03d55460dde4159ff6291db5a3c64c11ca85e6774960750b42
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pytorch_FBGEMM__3.10_cu130_x86_64
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41.8 MB |
sha256:c752f16f5a826293aeb33e93f82ea1fe04512c4a0d1b00f76a4031540b9583f8
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pytorch_FBGEMM__3.10_rocm6.3_x86_64
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11.1 MB |
sha256:1666e8917de1f3cbfc448859c9325ee9fdb9698c9ffff6fa498b944beba50a8d
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pytorch_FBGEMM__3.10_rocm6.4_x86_64
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11.2 MB |
sha256:cac736202e9f0b6d6e87397548ebe6fdd3f33c63a556521393a4ae1a51fbf4d1
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pytorch_FBGEMM__3.11_cu126_x86_64
|
15.4 MB |
sha256:c2158bc26d00d823b39c7a04ea3890c3578778a361525d4efcbc59944b46094a
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pytorch_FBGEMM__3.11_cu128_x86_64
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43.9 MB |
sha256:306c368daa85dffc8971bd04ce197b7bbe1f28a41de345d189eb5a1101e89784
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pytorch_FBGEMM__3.11_cu130_x86_64
|
41.8 MB |
sha256:f70dd954868770979f7f9f0c04861921b9a46afc3a82e297598a3bd675c5a0de
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pytorch_FBGEMM__3.11_rocm6.3_x86_64
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11.2 MB |
sha256:beeff417567fd2da7fc649fe27f13e4948077e1c1a80ce2df25818b94d7137f1
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pytorch_FBGEMM__3.11_rocm6.4_x86_64
|
11.2 MB |
sha256:bcaf7c6c0cf88beed6984614fbe0408a9781da781c4c04c4370879b27633265f
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pytorch_FBGEMM__3.12_cu126_x86_64
|
15.4 MB |
sha256:b49cd9f8fbeb221a093c7fcd402cc758097910afc235a73c12637b55e2f33aa9
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pytorch_FBGEMM__3.12_cu128_x86_64
|
43.9 MB |
sha256:f0e83b92167f629dc59002062dfa52f5998eba9b4eddf1d535e9982df8ba7caa
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pytorch_FBGEMM__3.12_cu130_x86_64
|
41.8 MB |
sha256:2ad1c5762ba8115101e0ac8881408ae086c0827aec08dc1c040fc71b64124117
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pytorch_FBGEMM__3.12_rocm6.3_x86_64
|
11.2 MB |
sha256:761b3e28ec030b1ca3ca86eccf034401ac216208bb8f5c04913f91e070d9aa30
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pytorch_FBGEMM__3.12_rocm6.4_x86_64
|
11.2 MB |
sha256:01c0c4c275daf3a48692db82babb4736ba450863e192e77f597a18518c9cd945
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pytorch_FBGEMM__3.13_cu126_x86_64
|
15.4 MB |
sha256:9016289dc949d731137994dcb126e119cdee261a2fefa467d5a512b3c7ac98e8
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pytorch_FBGEMM__3.13_cu128_x86_64
|
43.9 MB |
sha256:1c4d9ad279b07b8e5d19669f794c14ae3c2bd1129918690d4697aacad5ca06d0
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|
pytorch_FBGEMM__3.13_cu130_x86_64
|
41.8 MB |
sha256:747b28108d42fcf9a2505cd7c25d69e9be2a98ee9af47a46d7893e5c375f7925
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|
pytorch_FBGEMM__3.13_rocm6.3_x86_64
|
11.1 MB |
sha256:db063a631f2677ad0050691ba5638609fda1dfc2542684726e006e3264266f7e
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|
pytorch_FBGEMM__3.13_rocm6.4_x86_64
|
11.2 MB |
sha256:77da92b3edecdfd0c1ef4f4ffd4fcbc60cc5b55452f75cba2580182ebe927a81
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|
pytorch_FBGEMM__3.13t_cu126_x86_64
|
15.4 MB |
sha256:c55f1d2c6b6d3f548d3177669f2df6a8963eab44788512969ce1b8545e4afad5
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|
pytorch_FBGEMM__3.13t_cu128_x86_64
|
43.9 MB |
sha256:565685bfb00540dd8b9f15d5799033bd76b2dd0542de5e795f414a4122ada174
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pytorch_FBGEMM__3.13t_cu130_x86_64
|
41.8 MB |
sha256:43e84814b77640ca327f4606e8a4ecfde0352fb44b55dca7d10d7644a4df2362
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|
pytorch_FBGEMM__3.14_cu126_x86_64
|
15.4 MB |
sha256:efd0e2e21aee5b3f2c3883017633f564d5798239c4bf20405a987c2c7a9a8e10
|
|
pytorch_FBGEMM__3.14_cu128_x86_64
|
43.9 MB |
sha256:97e2ebde4e4e7bbba1cda4ef2234298522441a8945fd77fc8b28179b2f5b465a
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|
pytorch_FBGEMM__3.14_cu130_x86_64
|
41.8 MB |
sha256:97955c00770ffa9eb3bc1dde588ffbbe06845d085937c6e3a5ca73e49289b93e
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|
pytorch_FBGEMM__3.14_rocm6.3_x86_64
|
11.2 MB |
sha256:63d646a79d340b13e715c03541d7ed4a2c357223584aba12129ee657a888c76b
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|
pytorch_FBGEMM__3.14_rocm6.4_x86_64
|
11.2 MB |
sha256:a89307cc39faab5b9d7a1cde1df39dbf8fe7e79ac30e64fb381721177535597d
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pytorch_FBGEMM__3.14t_cu126_x86_64
|
15.4 MB |
sha256:6dc0b88a92de0633182b22b30a21fa97e31a3a86fce8a1bcdcc6da2acf4e90ef
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|
pytorch_FBGEMM__3.14t_cu128_x86_64
|
43.9 MB |
sha256:6c37e9bdc05cf55b5b06ee4ce1bf25e4890ae2ea35aac42b66c936687a7471e8
|
|
pytorch_FBGEMM__3.14t_cu130_x86_64
|
41.8 MB |
sha256:9e8ce6ed63610b3f76eb8058909fda1d9f9e1a38cad422e5f2e1584346167f1e
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|
pytorch_FBGEMM__3.14t_rocm6.3_x86_64
|
11.2 MB |
sha256:cb284f669ec9ede4bebc1fa42b1eb57b34adbcc4d558008b60cdf968437848e1
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|
pytorch_FBGEMM__3.14t_rocm6.4_x86_64
|
11.2 MB |
sha256:7784a6f40e5328dd76a5fbab44ccffb05f012dbd49d7d384280d6b48ad1586da
|
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