Add output as an option in CUTLASS grouped GEMM (#4931) #6132
facebook-github-botbuild_wheels_genai_linux_x86.yml
on: push
generate-matrix
/
generate
5s
Matrix: pytorch/FBGEMM / build
Matrix: pytorch/FBGEMM / upload / upload
Annotations
2 errors and 5 warnings
|
pytorch/FBGEMM / upload / upload-manywheel-py3_12-rocm6_3
unable to access 'https://github.com/pytorch/FBGEMM/': Failed to connect to github.com port 443 after 135916 ms: Connection timed out
|
|
pytorch/FBGEMM / upload / upload-manywheel-py3_12-rocm6_3
unable to access 'https://github.com/pytorch/test-infra/': Failed to connect to github.com port 443 after 134032 ms: Connection timed out
|
|
filter-matrix
The `python-version` input is not set. The version of Python currently in `PATH` will be used.
|
|
pytorch/FBGEMM / upload / upload-manywheel-py3_12-rocm6_3
Back off 23.94 seconds before retry.
|
|
pytorch/FBGEMM / upload / upload-manywheel-py3_12-rocm6_3
Failed to download action 'https://api.github.com/repos/actions/download-artifact/tarball/d3f86a106a0bac45b974a628896c90dbdf5c8093'. Error: The request was canceled due to the configured HttpClient.Timeout of 100 seconds elapsing.
|
|
pytorch/FBGEMM / upload / upload-manywheel-py3_12-rocm6_3
Back off 23.66 seconds before retry.
|
|
pytorch/FBGEMM / upload / upload-manywheel-py3_12-rocm6_3
Failed to download action 'https://api.github.com/repos/actions/download-artifact/tarball/d3f86a106a0bac45b974a628896c90dbdf5c8093'. Error: The request was canceled due to the configured HttpClient.Timeout of 100 seconds elapsing.
|
Artifacts
Produced during runtime
| Name | Size | Digest | |
|---|---|---|---|
|
pytorch_FBGEMM__3.10_cu126_x86_64
|
17.2 MB |
sha256:5db4f833a9da1197079dcec6afd2f97a6e324c382eae02eeea1ae011f464cfde
|
|
|
pytorch_FBGEMM__3.10_cu128_x86_64
|
48.8 MB |
sha256:0eb8ec739a6141cac23a6c972f47ab41d5b0980e4eca53688ccdb3196b18bee0
|
|
|
pytorch_FBGEMM__3.10_cu130_x86_64
|
46.7 MB |
sha256:1b28c27b8490aa920c96cddd087fffec3ba45b15da10cbc0cc1259d99cffeed5
|
|
|
pytorch_FBGEMM__3.10_rocm6.3_x86_64
|
11.2 MB |
sha256:8aae3be66d1c47e66bd7a4bd675c454c3967dfaa2f9306bc4e6ac8392b1b5da9
|
|
|
pytorch_FBGEMM__3.10_rocm6.4_x86_64
|
11.3 MB |
sha256:1e73c53e74762d9783b736ebb025f4a766df41c2f64bef2bb838bcda30920673
|
|
|
pytorch_FBGEMM__3.11_cu126_x86_64
|
17.2 MB |
sha256:58d7de455685605b507a77520776ddd0a94f4bab99434aab2af19780868f8cd4
|
|
|
pytorch_FBGEMM__3.11_cu128_x86_64
|
48.8 MB |
sha256:004905d3d38d08bc05f9e89578da14a1da9f48ed1830cbe07e5e6b307f295bd0
|
|
|
pytorch_FBGEMM__3.11_cu130_x86_64
|
46.7 MB |
sha256:ee9360788cd60fd4a29a9f9d1069184a4bce31cc27a3c868f1852c36bb102340
|
|
|
pytorch_FBGEMM__3.11_rocm6.3_x86_64
|
11.2 MB |
sha256:bf7934e0ce6218873f930fe9677b9887ac6b0a2cf37fd5f28d4271c830e8617a
|
|
|
pytorch_FBGEMM__3.11_rocm6.4_x86_64
|
11.2 MB |
sha256:55ef0443047027e389eb67c1fbf922d8dbe395723bc1102fdeb6a44e56f0f81c
|
|
|
pytorch_FBGEMM__3.12_cu126_x86_64
|
17.2 MB |
sha256:fd28ae28d6287e8a5e59d925bd165fc9a3e9c8e46e2d01d1f1d13289ccb601ff
|
|
|
pytorch_FBGEMM__3.12_cu128_x86_64
|
48.8 MB |
sha256:67dd67cf2185c98b1c3434ae52076e08fe0c083342fc6146f307e3042eefe879
|
|
|
pytorch_FBGEMM__3.12_cu130_x86_64
|
46.7 MB |
sha256:4831849e1b21df7aa53f87267f20b775554a839ec80f0f020085d91cc80a6636
|
|
|
pytorch_FBGEMM__3.12_rocm6.3_x86_64
|
11.2 MB |
sha256:996a344042f571baab102f3244162275fdf63170e532c40710238ea7b17b53dc
|
|
|
pytorch_FBGEMM__3.12_rocm6.4_x86_64
|
11.3 MB |
sha256:fa6d4bc4f7fac01b2ef715c5929d3412620e25bc4e8d469b6ac15a08a491ef51
|
|
|
pytorch_FBGEMM__3.13_cu126_x86_64
|
17.2 MB |
sha256:a3aa5b9e151e5894386700b99fbd45cdac29fcd8c33e4fcb05c205d368cea8fd
|
|
|
pytorch_FBGEMM__3.13_cu128_x86_64
|
48.8 MB |
sha256:f6e9f084e2ad3859b66bed33e4baaaef6a7086fe66af5206f93dacd2751d68a2
|
|
|
pytorch_FBGEMM__3.13_cu130_x86_64
|
46.7 MB |
sha256:e6a41be760b6555a2eda5a180ab3e3751174a02929f0e33f31a1bcfc846ad97f
|
|
|
pytorch_FBGEMM__3.13_rocm6.3_x86_64
|
11.2 MB |
sha256:64e4d8432570e3caaa06a09b174e017a210cf53eb5ffe828f190f7abc2c489a6
|
|
|
pytorch_FBGEMM__3.13_rocm6.4_x86_64
|
11.2 MB |
sha256:dafec6c4f94bf1ab5592de302f22a1aaff14f570cbadde8a80e3a6c7f9b6dd0d
|
|
|
pytorch_FBGEMM__3.13t_cu126_x86_64
|
17.2 MB |
sha256:29f70aa5e5aed62690236ed14d52744311d3c795476c850d34779aca6251007e
|
|
|
pytorch_FBGEMM__3.13t_cu128_x86_64
|
48.8 MB |
sha256:ecbb3d25f863b0a824335e46f10341d741132ce56a4a48ec389e40b6a9c7d6d0
|
|
|
pytorch_FBGEMM__3.13t_cu130_x86_64
|
46.7 MB |
sha256:de504c78d30b059a6804df4928c1d3a79dccf059d4557b310ee34a7b270ad5e4
|
|
|
pytorch_FBGEMM__3.14_cu126_x86_64
|
17.2 MB |
sha256:53280707a9ccc089b8e217ec96b5676301a158938671325e82b325f63526aa48
|
|
|
pytorch_FBGEMM__3.14_cu128_x86_64
|
48.8 MB |
sha256:62248b4bc0c72943c918d955b2cfa0a6c92bf0fa709197040642d1ab95286def
|
|
|
pytorch_FBGEMM__3.14_cu130_x86_64
|
46.7 MB |
sha256:fdc307a2b8ad4c582862974dbff8e57082887d8dffaab1dc7a655f4466a46531
|
|
|
pytorch_FBGEMM__3.14_rocm6.3_x86_64
|
11.2 MB |
sha256:31472b209f14589a5179c757cab7033a128be31aa719a5ff5e75b1b23e8965e2
|
|
|
pytorch_FBGEMM__3.14_rocm6.4_x86_64
|
11.2 MB |
sha256:25d47b6ff70262607a90bba56cf8d1e47b6b78ba86281782ebf453afbf2034e8
|
|
|
pytorch_FBGEMM__3.14t_cu126_x86_64
|
17.2 MB |
sha256:cdebf833c839cfb6490aec37be75b7984239e974c0fd2d93ad85ee79a7263203
|
|
|
pytorch_FBGEMM__3.14t_cu128_x86_64
|
48.8 MB |
sha256:80b2109b4c8e1680b1dc6551abe8c2b930ae20e5fb8a1f7a6d90a7d083c004e9
|
|
|
pytorch_FBGEMM__3.14t_cu130_x86_64
|
46.7 MB |
sha256:dac6ef21685e3d95a017792633b892f8002ec46315a417aff367e519de1ba81c
|
|
|
pytorch_FBGEMM__3.14t_rocm6.3_x86_64
|
11.2 MB |
sha256:7f56efd4e129b2d0d4ca7b611d6869e51fc078e382389e24d680991be0012fee
|
|
|
pytorch_FBGEMM__3.14t_rocm6.4_x86_64
|
11.3 MB |
sha256:6e42770cbd614a1d4969491a4392afaf4b9040f1f7f8286c9662658caabf155d
|
|