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Migrate GenAI kv cache kernel arguments to use PTA_B (#4887) #5978

Migrate GenAI kv cache kernel arguments to use PTA_B (#4887)

Migrate GenAI kv cache kernel arguments to use PTA_B (#4887) #5978

Triggered via push September 17, 2025 23:43
Status Success
Total duration 2h 36m 52s
Artifacts 33
generate-matrix  /  generate
6s
generate-matrix / generate
filter-matrix
7s
filter-matrix
Matrix: pytorch/FBGEMM / build
Matrix: pytorch/FBGEMM / upload / upload
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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_x86_64
17.5 MB
sha256:e48bd00e6f14a176369ea663a1572fd0fe11dad9452446254135b2ddc5ca2f3a
pytorch_FBGEMM__3.10_cu128_x86_64
49.3 MB
sha256:9800b770b13201b7c8ccd0574ecdd16853f595671bf5bcb48aa299d81663a8dd
pytorch_FBGEMM__3.10_cu130_x86_64
47.3 MB
sha256:b2c7df82cc5e110b7efbefd56413c641547b52f31819fcaee5cea3954c8e73ae
pytorch_FBGEMM__3.10_rocm6.3_x86_64
11.1 MB
sha256:8737a5c92e15f809b09ab797d09551b531afef8546f8c62f98c1e00ff7aa7974
pytorch_FBGEMM__3.10_rocm6.4_x86_64
11.2 MB
sha256:6a006ad59080e48e8da8d507647a9fed2ab5e5d788e08fcffbfbb8999de44a25
pytorch_FBGEMM__3.11_cu126_x86_64
17.5 MB
sha256:51088813544358abfc5a1d61310959ca1947bbac886b3d3b3c4819655a8c873c
pytorch_FBGEMM__3.11_cu128_x86_64
49.3 MB
sha256:045b73ef274ee5092c66a126e52501462c128aff47aed24b87bb3befa62034c3
pytorch_FBGEMM__3.11_cu130_x86_64
47.3 MB
sha256:fbe1b06374ef2f8a0f3b7f4892342dbac7c31de1a2a556906f911ab588afb32d
pytorch_FBGEMM__3.11_rocm6.3_x86_64
11.1 MB
sha256:c12bee3cc800e4ceaaa406e0ab5575f27e837279ab7c31b64a6ea83031876567
pytorch_FBGEMM__3.11_rocm6.4_x86_64
11.2 MB
sha256:4bc98f95a78516b702225ae258773a85f375e251aa1826362718762723c44f41
pytorch_FBGEMM__3.12_cu126_x86_64
17.5 MB
sha256:37a313c53cfb123357a7b40a59c488bd0081f137089fd6717e4084fb8ab2c85d
pytorch_FBGEMM__3.12_cu128_x86_64
49.3 MB
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pytorch_FBGEMM__3.12_cu130_x86_64
47.3 MB
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pytorch_FBGEMM__3.12_rocm6.3_x86_64
11.2 MB
sha256:869e693844aaa9915a6dc7b8d1869116be9333739b69d484e856fa4452c83835
pytorch_FBGEMM__3.12_rocm6.4_x86_64
11.2 MB
sha256:953888f1ee100784686623eb14ae8365838379451ddb00519d8206f96fb8c0e9
pytorch_FBGEMM__3.13_cu126_x86_64
17.5 MB
sha256:5c2275b0e21e8bd48015d7f90121aaf36abc82e4dfea7114ae9ef60bc1f6f02b
pytorch_FBGEMM__3.13_cu128_x86_64
49.3 MB
sha256:077fd015d85a2527f806842a527e281bda0ae7b3f7a06fe989e4a2029a4f4172
pytorch_FBGEMM__3.13_cu130_x86_64
47.3 MB
sha256:a5e484f1788c2c8205d4587ca8e68d80e3f367e67f742ead67b6cab8322bac2d
pytorch_FBGEMM__3.13_rocm6.3_x86_64
11.1 MB
sha256:17f0816d89202a4bd76e748a4873f2720aea20d1f42b1fae19ad6ce00d9416d3
pytorch_FBGEMM__3.13_rocm6.4_x86_64
11.2 MB
sha256:c5b9d040b51b6933a11845b4734b8798014487f8ebfbe10b5a03ce364f17d51b
pytorch_FBGEMM__3.13t_cu126_x86_64
17.5 MB
sha256:9b20daf081ebc406dba0b33f211eeb88684273ce9771559ed9064aa69312adc3
pytorch_FBGEMM__3.13t_cu128_x86_64
49.4 MB
sha256:78fa6a31502816ba404b230c3a62bfc24981d89f012a905f644ec81d2aa2ec0b
pytorch_FBGEMM__3.13t_cu130_x86_64
47.3 MB
sha256:8b8f5f9d4533cdd500168f58ad54bee8f85311cc77027d0100db721b80f4d691
pytorch_FBGEMM__3.14_cu126_x86_64
17.5 MB
sha256:3808b816352e24028bb762e5335ce63e75699a86ae5538d7d9bfbe5bf16a3607
pytorch_FBGEMM__3.14_cu128_x86_64
49.3 MB
sha256:f0def16da02c4cc30253d76ef598a906c9aa2e61ebff95b9a25a055f4f80715a
pytorch_FBGEMM__3.14_cu130_x86_64
47.3 MB
sha256:d8778dc2f5caaa126ade4ad158d32f929272a47b3a4fbc7a4bbaea328a3827a1
pytorch_FBGEMM__3.14_rocm6.3_x86_64
11.1 MB
sha256:96ae95375d732fb2c76bdb7a054e7708637940af53e671de530226b6d921f7e2
pytorch_FBGEMM__3.14_rocm6.4_x86_64
11.2 MB
sha256:c7a4444498aec736c6d39b0705f76eba8872406a057a47f00403f3e0a1ae13c1
pytorch_FBGEMM__3.14t_cu126_x86_64
17.5 MB
sha256:d4b2d45955edced7ee8e948bd511296ed3b7cd94bfc333f239c415696676d68b
pytorch_FBGEMM__3.14t_cu128_x86_64
49.4 MB
sha256:5db2208b7ee5c227f43ad509ac48d94fdb444dd74b5ec3d08ec7ea0f5bd01478
pytorch_FBGEMM__3.14t_cu130_x86_64
47.3 MB
sha256:a616732d8fa27a37476e2561b2c47aac2a19fe96db9c545e115ac28743e61705
pytorch_FBGEMM__3.14t_rocm6.3_x86_64
11.2 MB
sha256:17a7293436263cb23a443862a705b2bdb68166a1aafa0968c5f79a3f6911ccde
pytorch_FBGEMM__3.14t_rocm6.4_x86_64
11.2 MB
sha256:989345312c0240d54af7ca9253f58ea37c3274d69de37c3a7c6f26cfcdbeaeba