Skip to content
Build FBGEMM GenAI Aarch64 Linux Wheels

Back out "Enable CUTLASS grouped GEMM for pretraining wgrad on GB200 … #5996

Sign in to view logs

Back out "Enable CUTLASS grouped GEMM for pretraining wgrad on GB200 …

Back out "Enable CUTLASS grouped GEMM for pretraining wgrad on GB200 … #5996

Triggered via push September 18, 2025 18:33
@facebook-github-botfacebook-github-bot
pushed 53f9e51
main
Status Success
Total duration 2h 22m 47s
Artifacts 14

build_wheels_genai_linux_aarch64.yml

on: push
generate-matrix  /  generate
7s
generate-matrix / generate
filter-matrix
8s
filter-matrix
Matrix: build
Fit to window
Zoom out
Zoom in

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_aarch64
14.5 MB
sha256:085373a280bc3f9c33a98441b42f2a0df3f8ee752bafad5ca718466dff1370d0
pytorch_FBGEMM__3.10_cu128_aarch64
43.5 MB
sha256:8003a0f2a92647c4597053d236b6b210509f38e06ef65adff4b8b0b8b389c9e7
pytorch_FBGEMM__3.11_cu126_aarch64
14.5 MB
sha256:c880f2ac3e8c0944e26aab2064283a36b1a3612e6a404176e458d7435a1a21be
pytorch_FBGEMM__3.11_cu128_aarch64
43.5 MB
sha256:2d369dbc2337eec204438eb42b6cb0f129cee849948262cad7a30669b7efe41e
pytorch_FBGEMM__3.12_cu126_aarch64
14.5 MB
sha256:eecd4c8e87e7efc0b6e9cfeecb4a2d462b978ed97a6f34b775ca72063e373e6a
pytorch_FBGEMM__3.12_cu128_aarch64
43.4 MB
sha256:cb9b8746d82e0ded33b7032369858e9ff83c18b3ba1601e59880989c017056d4
pytorch_FBGEMM__3.13_cu126_aarch64
14.5 MB
sha256:50ce27fcd0fe69405a082e8945754f6af49a51db985253ffe790599dd79cdcfd
pytorch_FBGEMM__3.13_cu128_aarch64
43.4 MB
sha256:6d6af44f118ee93f9377aef9b9ef29e115821a4e8d8ba744619410206fdee5f8
pytorch_FBGEMM__3.13t_cu126_aarch64
14.5 MB
sha256:f4a0ff6187801309c2d532a05cb808d63b0bb20d397abdd7dabad7476ca0f2b0
pytorch_FBGEMM__3.13t_cu128_aarch64
43.5 MB
sha256:b5a0fadcb9f7b662a02c50b919dd7ea7591fc89bcdbcd223b2921c39759431df
pytorch_FBGEMM__3.14_cu126_aarch64
14.5 MB
sha256:c4b46cab75b8f748456781aff762864fd040a0b0df4fbbdca5306c1cfb9d1593
pytorch_FBGEMM__3.14_cu128_aarch64
43.4 MB
sha256:bdbe4fdda247c6fe3ecf8f3bc6631ce90e92650b41de171d4a97e58f5c487fa8
pytorch_FBGEMM__3.14t_cu126_aarch64
14.5 MB
sha256:08b8ce865ed80f8036498d041d4ea3e4b9af02838951d51079dea053086c8b5a
pytorch_FBGEMM__3.14t_cu128_aarch64
43.5 MB
sha256:f0f7c056c91798f134da595fc4186837afdc02e326b3d29cfb40a875ca802c14