Utilities for slicing preshuffled tensors (#4396) #3134
build_wheels_genai_linux_x86.yml
on: push
generate-matrix
/
generate
7s
Matrix: pytorch/FBGEMM / build
Matrix: build / upload / upload
Annotations
1 warning
filter-matrix
The `python-version` input is not set. The version of Python currently in `PATH` will be used.
|
Artifacts
Produced during runtime
Name | Size | Digest | |
---|---|---|---|
pytorch_FBGEMM__3.10_cu126_x86_64
Expired
|
13.5 MB |
sha256:afbf7583e9aef541e633ddb384fa7ed5998b417941cb8e55e4e10fdd22c325c8
|
|
pytorch_FBGEMM__3.10_cu128_x86_64
Expired
|
25.5 MB |
sha256:968bcc58f5c6de96bbd0a98a13b947016c7124c810eb9ac09f1da6ee60840a64
|
|
pytorch_FBGEMM__3.10_cu129_x86_64
Expired
|
25.9 MB |
sha256:c552b115458aa7a23a40949e3b2463770b0c80c7a38780d6c9c577828be96225
|
|
pytorch_FBGEMM__3.10_rocm6.3_x86_64
Expired
|
18.4 MB |
sha256:333748efd3f1d6a6cf801baa0121ccf61bfdaf8fede01ffdc64c66774e682460
|
|
pytorch_FBGEMM__3.10_rocm6.4_x86_64
Expired
|
18.2 MB |
sha256:764dba48459204d38a23720f103db4247f29e2d0dd2ebd1a83eeabcce6cc3ee9
|
|
pytorch_FBGEMM__3.11_cu126_x86_64
Expired
|
13.5 MB |
sha256:6fdd07757761f779666661170f8b9615f468fcff3065c9c1a6d533b687882d48
|
|
pytorch_FBGEMM__3.11_cu128_x86_64
Expired
|
25.5 MB |
sha256:726319d07e178a6dd37bf0ae34c42108ce58348d0b554a55b5bb268d25d848f9
|
|
pytorch_FBGEMM__3.11_cu129_x86_64
Expired
|
25.9 MB |
sha256:b70f5105eed2aa5aba5db678635e1952387d66383d75051e9532f80bfb25274c
|
|
pytorch_FBGEMM__3.11_rocm6.3_x86_64
Expired
|
18.4 MB |
sha256:164e9b30550160a55b7ec5049966b45fb0298f2b8020c0efcd97287f81837305
|
|
pytorch_FBGEMM__3.11_rocm6.4_x86_64
Expired
|
18.2 MB |
sha256:ba0ab7234446af251797bac69031f783c04e951bac2549e5f226358a63e0c347
|
|
pytorch_FBGEMM__3.12_cu126_x86_64
Expired
|
13.5 MB |
sha256:20dd784bf0d526aaf04362c3953de4d7f602bfb3e6c5425d51708bd269474aa0
|
|
pytorch_FBGEMM__3.12_cu128_x86_64
Expired
|
25.5 MB |
sha256:e75970c0c90b0c72b4255accafa85c3ddc3d56b9285be8595cbc8277f8abbb10
|
|
pytorch_FBGEMM__3.12_cu129_x86_64
Expired
|
25.9 MB |
sha256:471043f07929bcfecf34efe36aa472a54877b581ace26fe277a8064c6ffe1264
|
|
pytorch_FBGEMM__3.12_rocm6.3_x86_64
Expired
|
18.4 MB |
sha256:0188857015dcb4b55addf2a24ed026a4eb8fd0e8c3bae01daf1cc2c1bd28e283
|
|
pytorch_FBGEMM__3.12_rocm6.4_x86_64
Expired
|
18.2 MB |
sha256:4e8a3214a883979af873ad9c7558623004224f45fad5613c3cc6e51f96c630c2
|
|
pytorch_FBGEMM__3.13_cu126_x86_64
Expired
|
13.5 MB |
sha256:54caac27b212dbed107f5042be0f13219d0f630e4f9febe7796cf38d496f6697
|
|
pytorch_FBGEMM__3.13_cu128_x86_64
Expired
|
25.5 MB |
sha256:e34e896205d498bc73adf4ce1a5caf5dbf1e50d18bd61e07c009ddce2caee379
|
|
pytorch_FBGEMM__3.13_cu129_x86_64
Expired
|
25.9 MB |
sha256:f0d3e1348ea5632d6a4f5d63353275d2185767026cf3cfcc72c8823f5c21891d
|
|
pytorch_FBGEMM__3.13_rocm6.3_x86_64
Expired
|
18.4 MB |
sha256:08fca82ff3fbe47714fd949a4a8b675db7c9e1a6e64865d79ec3098fb5a812f9
|
|
pytorch_FBGEMM__3.13_rocm6.4_x86_64
Expired
|
18.2 MB |
sha256:816171923fe961e4e076168908129159c8905c3423e7e6b23172bbb36898a1a0
|
|
pytorch_FBGEMM__3.13t_cu126_x86_64
Expired
|
13.5 MB |
sha256:558694d8f981c0414bc2ee41b65a72cbe833749d6b96d6bd7272ae6bf2abaa69
|
|
pytorch_FBGEMM__3.13t_cu128_x86_64
Expired
|
25.5 MB |
sha256:527b22416eedb0a91f7d315066f1aa946334fe82df2e6ad43589ce55c910f8be
|
|
pytorch_FBGEMM__3.13t_cu129_x86_64
Expired
|
25.9 MB |
sha256:41359508b5b7ffed516e63ba2efc0264eb80eb87ddb2f0668d9e36868b72dc29
|
|
pytorch_FBGEMM__3.9_cu126_x86_64
Expired
|
13.5 MB |
sha256:3cd794598b3eba718764f6d0fbd873efc1276d8b920c4f183c1968f7a5257ff8
|
|
pytorch_FBGEMM__3.9_cu128_x86_64
Expired
|
25.5 MB |
sha256:cf265d6a02c313767966a523339772810bf0d2e4b02c87e0e47f2ec946c8ee93
|
|
pytorch_FBGEMM__3.9_cu129_x86_64
Expired
|
25.9 MB |
sha256:b35572f7e04108393ee5444ef534407f2d45b3fbe04107ddc4b34dd10b31ac88
|
|
pytorch_FBGEMM__3.9_rocm6.3_x86_64
Expired
|
18.4 MB |
sha256:5f70ae26042bf9d4abf30fb0c97364b076d735e64206eab0017b837610f1d703
|
|
pytorch_FBGEMM__3.9_rocm6.4_x86_64
Expired
|
18.2 MB |
sha256:fa238e5d740a328d8d806218c10ac98aaabb74104543c84832705e6cf72d398d
|
|