Improve Fused8BitRowwiseQuantizedSBFloatToFloatOrHalfNeon by 5%-15% #8932
Triggered via pull request
March 21, 2025 15:07
Status
Failure
Total duration
1d 5h 1m 25s
Artifacts
20
fbgemm_gpu_ci_rocm.yml
on: pull_request
Matrix: build_artifact
Matrix: test_and_publish_artifact
Annotations
4 errors
test_and_publish_artifact (x86, rocm, 3.13, 6.2.4, clang)
This request was automatically failed because there were no enabled runners online to process the request for more than 1 days.
|
test_and_publish_artifact (x86, rocm, 3.13, 6.3, gcc)
This request was automatically failed because there were no enabled runners online to process the request for more than 1 days.
|
test_and_publish_artifact (x86, rocm, 3.13, 6.2.4, gcc)
This request was automatically failed because there were no enabled runners online to process the request for more than 1 days.
|
test_and_publish_artifact (x86, rocm, 3.13, 6.3, clang)
This request was automatically failed because there were no enabled runners online to process the request for more than 1 days.
|
Artifacts
Produced during runtime
Name | Size | Digest | |
---|---|---|---|
fbgemm_gpu_nightly_rocm_x86_clang_py3.10_rocm6.2.4.whl
|
138 MB |
sha256:862c74a1e1a42fdae29731089eb87d6cd2d4d0a2c3fddaafe210547d684c8153
|
|
fbgemm_gpu_nightly_rocm_x86_clang_py3.10_rocm6.3.whl
|
132 MB |
sha256:4acfaecb39af514fa355746cc52b17f1963f3919ad17473d9494a7e6d3fca625
|
|
fbgemm_gpu_nightly_rocm_x86_clang_py3.11_rocm6.2.4.whl
|
138 MB |
sha256:2a11ce4f82de188f8007143a63316f79f65d07acd69fa50e11bac5776ea750c9
|
|
fbgemm_gpu_nightly_rocm_x86_clang_py3.11_rocm6.3.whl
|
132 MB |
sha256:4f7c002712ff81a8b6f19dbcb29c8992b14a3b54276e40683c24900184cee006
|
|
fbgemm_gpu_nightly_rocm_x86_clang_py3.12_rocm6.2.4.whl
|
138 MB |
sha256:7e6e4520f3b04a5b0bd7363fd1877f110d2a50e96e7582870f15824425b78755
|
|
fbgemm_gpu_nightly_rocm_x86_clang_py3.12_rocm6.3.whl
|
132 MB |
sha256:b68467197f2f6f47e7451204b332b2ae9572f058f608725f1f7ab3754ca7d79c
|
|
fbgemm_gpu_nightly_rocm_x86_clang_py3.13_rocm6.2.4.whl
|
138 MB |
sha256:3cedce933a384f084a6741205bbf7e43061f5637780976433cc0496ddcc292fa
|
|
fbgemm_gpu_nightly_rocm_x86_clang_py3.13_rocm6.3.whl
|
132 MB |
sha256:c65383848e7592aa4561f408376b15fe0e8d516dd4c1d42818ef27fa9979d0b1
|
|
fbgemm_gpu_nightly_rocm_x86_clang_py3.9_rocm6.2.4.whl
|
138 MB |
sha256:3fd7e4a346b13f2a08916acc10f2e4567ad3c1a9af74221116ff8f6dbedb7f23
|
|
fbgemm_gpu_nightly_rocm_x86_clang_py3.9_rocm6.3.whl
|
132 MB |
sha256:be9dce7643285ec22f54591a3a1748bf7682cc88d61a028ccccbaa7a97065d11
|
|
fbgemm_gpu_nightly_rocm_x86_gcc_py3.10_rocm6.2.4.whl
|
138 MB |
sha256:ddae64b9895ca93a9e728c6eaef20f8e05f7a740035bbbee840ae5f9bc40d9d9
|
|
fbgemm_gpu_nightly_rocm_x86_gcc_py3.10_rocm6.3.whl
|
132 MB |
sha256:8eb99dfd16e2dec5fb0ad177b0770a2d1b64fdeabb44c4e0364bd0e07b704250
|
|
fbgemm_gpu_nightly_rocm_x86_gcc_py3.11_rocm6.2.4.whl
|
138 MB |
sha256:d97349c31f3f7e7ffedda9c8ad55418da550a688bcc432fbe67843ea1b0f1791
|
|
fbgemm_gpu_nightly_rocm_x86_gcc_py3.11_rocm6.3.whl
|
132 MB |
sha256:ccca2b9c169bf28cef953a64c9675888bfcb6308c390924c150a20dbeb160480
|
|
fbgemm_gpu_nightly_rocm_x86_gcc_py3.12_rocm6.2.4.whl
|
138 MB |
sha256:494e1d4fe3ecbb946dfaffe8b20fa61b1267528e0e343507c72746e542566aa8
|
|
fbgemm_gpu_nightly_rocm_x86_gcc_py3.12_rocm6.3.whl
|
132 MB |
sha256:747e2adaa7ec0afbb67895bcae4da7f2ccb2eefc83e7c4fb766539f8b8f84610
|
|
fbgemm_gpu_nightly_rocm_x86_gcc_py3.13_rocm6.2.4.whl
|
138 MB |
sha256:b2808ec28ff5d21d8e5ee2cc3011811157af0bb59d28ccfe60f44c0c517425bb
|
|
fbgemm_gpu_nightly_rocm_x86_gcc_py3.13_rocm6.3.whl
|
132 MB |
sha256:a71bb872c669e18577164cd119d453bf183d65dd0ae9e29bdfb691519f2f26f8
|
|
fbgemm_gpu_nightly_rocm_x86_gcc_py3.9_rocm6.2.4.whl
|
138 MB |
sha256:1500461a9fdf1ea6e47d200609bb0a54783713e30fd0dd002cfa8a1240f204f9
|
|
fbgemm_gpu_nightly_rocm_x86_gcc_py3.9_rocm6.3.whl
|
132 MB |
sha256:f0349ae3e3a9a7c4a963672d7fdd51c92841712ab73841d9af7108fae1284efa
|
|