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Build FBGEMM GenAI Aarch64 Linux Wheels

Add output as an option in CUTLASS grouped GEMM (#4931) #6129

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Add output as an option in CUTLASS grouped GEMM (#4931)

Add output as an option in CUTLASS grouped GEMM (#4931) #6129

Triggered via push September 24, 2025 21:38
@facebook-github-botfacebook-github-bot
pushed c1f22a9
main
Status Success
Total duration 2h 21m 56s
Artifacts 14

build_wheels_genai_linux_aarch64.yml

on: push
generate-matrix  /  generate
5s
generate-matrix / generate
filter-matrix
7s
filter-matrix
Matrix: build
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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
15.9 MB
sha256:efe14f71cf4c1bedc6be59fad258b34bb0d91da408454ec93df82b7c56f4b05e
pytorch_FBGEMM__3.10_cu128_aarch64
47.2 MB
sha256:764c0175ea7c3e28b37010039854b1b3769ddcabfcbccecb592a6dae077c3b81
pytorch_FBGEMM__3.11_cu126_aarch64
15.8 MB
sha256:5e635686eb90a5228db7cc777117bd580a9bbdf7101ce33db3895431c52917d7
pytorch_FBGEMM__3.11_cu128_aarch64
47.2 MB
sha256:53c1ad3c30830ab066cbd2e2f600414108d5542a2e04be72d20a293c11796b1a
pytorch_FBGEMM__3.12_cu126_aarch64
15.9 MB
sha256:daf3613cd1b305e7a2c0bd2f290e9d912d2eb4d8001d16525a52786f58da87c8
pytorch_FBGEMM__3.12_cu128_aarch64
47.2 MB
sha256:74b0d152c8344b25f18570b06c76d5af3ac03c61b235e7fe6caaa399dda88679
pytorch_FBGEMM__3.13_cu126_aarch64
15.9 MB
sha256:b48e29f7bae30846739fd7813494f210e6a96aaf347508b5ff3bb94bd318e757
pytorch_FBGEMM__3.13_cu128_aarch64
47.2 MB
sha256:ec720eead86e2eb423f0a456113e00bd475c19137f6dd2e5a085e61618f02df6
pytorch_FBGEMM__3.13t_cu126_aarch64
15.8 MB
sha256:0ef8565be66f38b4a9ec6480d4647ac48ba0443e5a9c8216a3177d4c0c2d7fd5
pytorch_FBGEMM__3.13t_cu128_aarch64
47.2 MB
sha256:d7b5d072b5941b55f06d6e1dd30e911d72900ba0f3dcf90faf62b089b7a0f19d
pytorch_FBGEMM__3.14_cu126_aarch64
15.9 MB
sha256:b66ec802cef86b71b68248eca410e2edcadb724efaaee68d583c3b98200caba0
pytorch_FBGEMM__3.14_cu128_aarch64
47.2 MB
sha256:a3e92aed05f72f41f117f357bcf30548ee7a6dc6b0a0da2dea3460862a2a942a
pytorch_FBGEMM__3.14t_cu126_aarch64
15.8 MB
sha256:c4b4d40d4d9555b6b30ebdad095f6789f748a104439162f331ee7bbe71862c1f
pytorch_FBGEMM__3.14t_cu128_aarch64
47.2 MB
sha256:bb4bb65bd5063aa3c85447ba9adde1059ee9cecb68001ff0dd286bf1b9e30f29