Add version compatibility checks on library load (#4875) #16554
facebook-github-botbuild_wheels_linux_x86.yml
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Matrix: pytorch/FBGEMM / build
Matrix: pytorch/FBGEMM / upload / upload
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1 warning
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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_cpu_x86_64
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5.75 MB |
sha256:0357de513c734820074b2b62d046e69ecd6805a32b00810c5d29ec359c80f3a3
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pytorch_FBGEMM__3.10_cu126_x86_64
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547 MB |
sha256:95d54fe1a945bf7281d0580890f54360de159f17624f1ec46a84ea2ff9026b26
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pytorch_FBGEMM__3.10_cu128_x86_64
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848 MB |
sha256:88f942aa8377b5c4ad93552bfbe1edf3c77955071470b58618cb7697e2ed131e
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pytorch_FBGEMM__3.10_rocm6.3_x86_64
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78.2 MB |
sha256:261833532441442bc0b810f9ee885559c35d0cb52e8e7fa8531b14dd3e7013f0
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pytorch_FBGEMM__3.10_rocm6.4_x86_64
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77.1 MB |
sha256:0d77d623b3fefe32df376ad8ccce9828864ec3a5983a8a3bf03f574055fcdc63
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pytorch_FBGEMM__3.11_cpu_x86_64
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5.75 MB |
sha256:9fc127c42caa5461c388cf49f2eeab1280648f5422a5accb2040e74a4f633236
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pytorch_FBGEMM__3.11_cu126_x86_64
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547 MB |
sha256:a6b226d083aaed6187957a8279b3b8abde04672f3f6160443e464066f7609f3a
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pytorch_FBGEMM__3.11_cu128_x86_64
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848 MB |
sha256:0f70d590be4dc1bceb27c9eb43aa0a6413d3d2de227bc8607f1b22b39eda2fbf
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pytorch_FBGEMM__3.11_rocm6.3_x86_64
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78.2 MB |
sha256:1c926e0a59c12b9f67f5fcd53164aaadc1b3d72b257557cac089ba2b677bac53
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pytorch_FBGEMM__3.11_rocm6.4_x86_64
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77.1 MB |
sha256:16c4d2a5612bd6b26b758c3cf595e8c961bd7ca4e005b2c0126a6615efbbee17
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pytorch_FBGEMM__3.12_cpu_x86_64
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5.75 MB |
sha256:e9bc1b7096b979477b665deada9cb204cc596828ae4458b250725e7c8c54308d
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pytorch_FBGEMM__3.12_cu126_x86_64
|
547 MB |
sha256:a4fa16c299ad9e3f7151836eb534ec00475c609ba30b9893539a23d004731017
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pytorch_FBGEMM__3.12_cu128_x86_64
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848 MB |
sha256:f3e9c2364a62de499c5e76316c49319bbfc0db49dab9645258f8129023fe4b30
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pytorch_FBGEMM__3.12_rocm6.3_x86_64
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78.2 MB |
sha256:1a55bdaf80099e46b97c1863eeeb9fe05b988d5779535cea0627da260a38e750
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pytorch_FBGEMM__3.12_rocm6.4_x86_64
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77.1 MB |
sha256:c44e5e73197b32b98ca4c810ab6ed2523c689b4e0b82d7df439f50f3d2cd3f28
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pytorch_FBGEMM__3.13_cpu_x86_64
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5.75 MB |
sha256:cff922408d17638ef8b96cef0a48039652eebfbb21c7f4b0afbaeff1363045ec
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pytorch_FBGEMM__3.13_cu126_x86_64
|
547 MB |
sha256:3fa4cb2cf332b246de34380a38379f8c55b065959d8295893f11cd31ba238bc2
|
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pytorch_FBGEMM__3.13_cu128_x86_64
|
848 MB |
sha256:b75d7fab997864f5fd2406fabebae144ff161a7ce1f77c374e91ce226c542220
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pytorch_FBGEMM__3.13_rocm6.3_x86_64
|
78.2 MB |
sha256:15519fb69661aef092bd93aab1d82fd35800428e74f4ba80bba62f8e66bafd58
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pytorch_FBGEMM__3.13_rocm6.4_x86_64
|
77.1 MB |
sha256:8ba6cac83bbe0d23e8035ceb0b5c235ee1b74085b692a7d3b59059beac4eb27f
|
|
|
pytorch_FBGEMM__3.13t_cpu_x86_64
|
5.75 MB |
sha256:2360ea6ae5a4db7e80fc1b21255954bc4669990994c42c5a32b5e1df0e15999a
|
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pytorch_FBGEMM__3.13t_cu126_x86_64
|
547 MB |
sha256:3560e12f5195276d8f5f6f93b3118d6b8dfad5b3f547d2df14a82d8822bf7ac7
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pytorch_FBGEMM__3.13t_cu128_x86_64
|
848 MB |
sha256:22eb83eb0810ea10a15e5658f210a8b74111b47cf675e03af506da4243e87d09
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pytorch_FBGEMM__3.14t_cpu_x86_64
|
5.75 MB |
sha256:b7beb2bbac8fd33ead4f400b1c2352e860df2fd110e5b5c44fdf3d32da9f6229
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pytorch_FBGEMM__3.14t_cu126_x86_64
|
547 MB |
sha256:4ca88a92c5ab647a461c929da35175bfc85d3a3b96b57454667856bea23aabb8
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pytorch_FBGEMM__3.14t_cu128_x86_64
|
848 MB |
sha256:d8faa69645d451d094241626afcf1d0d4d1f3ff90cb31035eae600db57b0edc9
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pytorch_FBGEMM__3.14t_rocm6.3_x86_64
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78.2 MB |
sha256:0a520b813c9c1512db4390f99418ee572d09faa3b87f00a0ba2cde00a2a1d74f
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pytorch_FBGEMM__3.14t_rocm6.4_x86_64
|
77.1 MB |
sha256:de61e4916c8f67b47b7a89d866d69b5e85acb4c4db9ff766fb705f6c8971a6e9
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