Skip to content

Support multiple total-k and total-m in quantize bench #657

Support multiple total-k and total-m in quantize bench

Support multiple total-k and total-m in quantize bench #657

Triggered via pull request September 23, 2025 16:20
Status Success
Total duration 38m 5s
Artifacts 20
Matrix: build_artifact
Matrix: torchrec_cpu_tests
Fit to window
Zoom out
Zoom in

Artifacts

Produced during runtime
Name Size Digest
fbgemm_default_arm_clang_py3.10_cpu.whl
4.53 MB
sha256:e660fb59f52021d24ae6667ce71288cf5b966697b82062dd9059860f6e53ef63
fbgemm_default_arm_clang_py3.11_cpu.whl
4.53 MB
sha256:de5ed3b0d13b26f7750fec62298f00ec2fb477af95ae5aeaa3898ddcba59a490
fbgemm_default_arm_clang_py3.12_cpu.whl
4.53 MB
sha256:59bff3e04d90b17c33769924d2ab2ff6797f2fd2009c630e7cc1c8ca0b5f140a
fbgemm_default_arm_clang_py3.13_cpu.whl
4.53 MB
sha256:e8d0a9147e7164a0931bdb4e477d4874f2f9e047ea7f812f06a74cc6ae2f3fa9
fbgemm_default_arm_clang_py3.9_cpu.whl
4.41 MB
sha256:302b93c3d7c5686897f548a53c1176baf08caef5927687100f441f29943893ca
fbgemm_default_arm_gcc_py3.10_cpu.whl
4.19 MB
sha256:f73d0339e06acebb47bb86002d02490abd68d46357a4deac9e93ba2af9baa4b7
fbgemm_default_arm_gcc_py3.11_cpu.whl
4.19 MB
sha256:7cb7cc92ad314f66bb3ba514de5b77142f93c931e7f8d63b926e820e06ab35fb
fbgemm_default_arm_gcc_py3.12_cpu.whl
4.19 MB
sha256:ba906b057fa06a129332a1603e7628ae7145372ff6ee924f0a109f4d1d0ebf86
fbgemm_default_arm_gcc_py3.13_cpu.whl
4.19 MB
sha256:6dc1aaf09e679b0be486262496fe0ced48c816a62a245ded8fbd67efaa7feecb
fbgemm_default_arm_gcc_py3.9_cpu.whl
4.2 MB
sha256:5c0fd7e055965f8f27c32815cec0838eae5cf123993ab9f43075874c2d9a1dde
fbgemm_default_x86_clang_py3.10_cpu.whl
5.99 MB
sha256:d5ddea109c6e2e8ae977b12495b09984d8dcda85ed448c3dbf2fa6c816d63126
fbgemm_default_x86_clang_py3.11_cpu.whl
5.99 MB
sha256:d0801906a9f07170b36eff24425af15a46e7dac504a1d40173c73de51bc5c1a0
fbgemm_default_x86_clang_py3.12_cpu.whl
5.99 MB
sha256:c1ac9356704838f247c8196e04a569980897421f2e2815b3169dfa64cd3e3494
fbgemm_default_x86_clang_py3.13_cpu.whl
5.99 MB
sha256:857bba3bbb78dbd6151a3d52900445637ab35fbfaf77b9944a80a86d345dd362
fbgemm_default_x86_clang_py3.9_cpu.whl
5.81 MB
sha256:fe993576da34b4d748b3a961cdbff0fba14169645615270ae3d4c24b333b2594
fbgemm_default_x86_gcc_py3.10_cpu.whl
5.37 MB
sha256:9bb32388f148a11ca35c834d3a43d51476b5dc26c66db91b6c6aacca31edc2ad
fbgemm_default_x86_gcc_py3.11_cpu.whl
5.37 MB
sha256:925015071916cae8aa335fa936414b695de33ab4a81ae50d59d9fd518cc41c04
fbgemm_default_x86_gcc_py3.12_cpu.whl
5.37 MB
sha256:fcece96b84ea891e90ec409f1e981aa1eaff08103b61d27cf77c96981413e2ed
fbgemm_default_x86_gcc_py3.13_cpu.whl
5.37 MB
sha256:3a192879de9e99819e4fca36d0b4db247166b5699450ec6e6273b996efee24dc
fbgemm_default_x86_gcc_py3.9_cpu.whl
5.34 MB
sha256:be19464130a17edb019697938554133c6e65c3ba56d79e9192b4706c23d99bc7