Skip to content
Build FBGEMM GenAI Aarch64 Linux Wheels

Demonstration of per-op targets (#4919) #6100

Sign in to view logs

Demonstration of per-op targets (#4919)

Demonstration of per-op targets (#4919) #6100

Triggered via push September 23, 2025 21:52
@facebook-github-botfacebook-github-bot
pushed 03f6bde
main
Status Success
Total duration 2h 19m 15s
Artifacts 14

build_wheels_genai_linux_aarch64.yml

on: push
generate-matrix  /  generate
6s
generate-matrix / generate
filter-matrix
6s
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
15.8 MB
sha256:aee0d08e2ad3434ce8cf2b5fe3cf72a0347eb5361a3d6064e04167f14c97862c
pytorch_FBGEMM__3.10_cu128_aarch64
47.2 MB
sha256:8a83fabeb224b777fb4397bc23c50538d7793a46e3898a32aa75d7e36abce827
pytorch_FBGEMM__3.11_cu126_aarch64
15.9 MB
sha256:0fbeb8d7c8ff440456bddbabe788952f7e687ef8eed40048d2d9c68c84449bd0
pytorch_FBGEMM__3.11_cu128_aarch64
47.2 MB
sha256:3ee0c4bc60ff39de1047feea9bb7ff1279ef915a73ab814f3d4ed88a764d426b
pytorch_FBGEMM__3.12_cu126_aarch64
15.8 MB
sha256:723430bc3122cb7ad3d006f7c42978dac9b26136adad4e4bdb3c2ddbfc5f1ee1
pytorch_FBGEMM__3.12_cu128_aarch64
47.2 MB
sha256:d6cf9b09121ae4033627b8ebf23948d13bbe1584e60bba2af5bd2780b39fa363
pytorch_FBGEMM__3.13_cu126_aarch64
15.8 MB
sha256:e76c1d1cb010a0e1cb1199a99f77db02e2455376291346e5f9fdedc963cb34ee
pytorch_FBGEMM__3.13_cu128_aarch64
47.2 MB
sha256:957240269b2b15b388dac00908a2ef4de2e8c52f82b21a06022759af7b065a9f
pytorch_FBGEMM__3.13t_cu126_aarch64
15.8 MB
sha256:ca4ab0b32910616f8eac2f436cb8c2a48ea8c760df7962d0e79e1e9258875e31
pytorch_FBGEMM__3.13t_cu128_aarch64
47.2 MB
sha256:e76ee554465784ac17760ceed4ed50c0de1475ebbea10d1f72a2fa1f0cde12f0
pytorch_FBGEMM__3.14_cu126_aarch64
15.8 MB
sha256:708d8c65325f5b15b2dae7b74dbc863dfbc00ee51947aa2476f3936effaaf205
pytorch_FBGEMM__3.14_cu128_aarch64
47.2 MB
sha256:644c6aed095bb809dba8c9df570292f4844ad7b5252826194c81fe0f1f97ffe1
pytorch_FBGEMM__3.14t_cu126_aarch64
15.8 MB
sha256:d10be69909d4b48e83b4212e8c7bd1f9e6bac8500337d6e37132876384ac4ba8
pytorch_FBGEMM__3.14t_cu128_aarch64
47.2 MB
sha256:9c3b6bb4e224e5b78f5b32c37add48e35564066444c0756631d02da7abee388c