Skip to content

Report TBE data configuration with EEG-based indices estimation #5824

Report TBE data configuration with EEG-based indices estimation

Report TBE data configuration with EEG-based indices estimation #5824

Triggered via pull request April 25, 2025 18:51
Status Success
Total duration 32m 6s
Artifacts 30

fbgemm_gpu_ci_genai.yml

on: pull_request
Matrix: build_artifact
Matrix: test_and_publish_artifact
Fit to window
Zoom out
Zoom in

Artifacts

Produced during runtime
Name Size Digest
fbgemm_gpu_nightly_genai_x86_clang_py3.10_cu11.8.0.whl
5.25 MB
sha256:c7aa569d2d32ab35d5af5a7fd069faf2dc0e47f7cfde3bd67d3e0d159501c2a3
fbgemm_gpu_nightly_genai_x86_clang_py3.10_cu12.6.3.whl
11.9 MB
sha256:634a717561319267be43cc5c3213f56c86a3a4a5eb9e41feedeaa4ef74c6bf73
fbgemm_gpu_nightly_genai_x86_clang_py3.10_cu12.8.0.whl
19.5 MB
sha256:2c7d76552f7cf254755c74cf84d4640f52c7f5f7719b5e1743d4817004e18301
fbgemm_gpu_nightly_genai_x86_clang_py3.11_cu11.8.0.whl
5.25 MB
sha256:5184f83fa6cefcdc741e93f5a764b39bfc7a8956f232714301397d7c5de8bc8e
fbgemm_gpu_nightly_genai_x86_clang_py3.11_cu12.6.3.whl
11.9 MB
sha256:2f70ddad8d6ff3f62a439bdc9c78b664eb05ea3805ced40c5472238812a8bb43
fbgemm_gpu_nightly_genai_x86_clang_py3.11_cu12.8.0.whl
19.5 MB
sha256:fa69945edad8b77523d5ab72c08c87bbdd05c8fcbda7d5e4cdf196a1b6023857
fbgemm_gpu_nightly_genai_x86_clang_py3.12_cu11.8.0.whl
5.25 MB
sha256:024686ec0aeed5878a12dcbccd823b201f6e1f0466e0708259a1271c77d20f24
fbgemm_gpu_nightly_genai_x86_clang_py3.12_cu12.6.3.whl
11.9 MB
sha256:010c49307db9e83958987341140b422e7128a22fe024e95aea6d57d5f0e38ea0
fbgemm_gpu_nightly_genai_x86_clang_py3.12_cu12.8.0.whl
19.5 MB
sha256:5aebe759e0c5ec55b0b4d15cf2396cc60025ae111203db2de0c2c501e77c05c8
fbgemm_gpu_nightly_genai_x86_clang_py3.13_cu11.8.0.whl
5.25 MB
sha256:c6294590aa1b2aabb6b777890244b0a087c66363f51eb828d8c2827b9a2d402a
fbgemm_gpu_nightly_genai_x86_clang_py3.13_cu12.6.3.whl
11.9 MB
sha256:05bae08bd4981a415f3f2374cae498bfe31d2315ace082ca6552a4ed0ad203d0
fbgemm_gpu_nightly_genai_x86_clang_py3.13_cu12.8.0.whl
19.5 MB
sha256:5de7ebe8c5f201158792b12bb6ad4f775f3977e5c8c9a41e9560e3254930be09
fbgemm_gpu_nightly_genai_x86_clang_py3.9_cu11.8.0.whl
5.25 MB
sha256:90e6544815903343f3bc07c4035e6d8a0fae6e7da3b753268b7ec186a7127ee5
fbgemm_gpu_nightly_genai_x86_clang_py3.9_cu12.6.3.whl
11.9 MB
sha256:c16e87f94175ce1e339de6858586ae85e7ade761d0b2fb37ec03116c6d8dbf77
fbgemm_gpu_nightly_genai_x86_clang_py3.9_cu12.8.0.whl
19.4 MB
sha256:2880802536d962bc860460e4c06215ba704334d0561a96a3628672e14f9e2af4
fbgemm_gpu_nightly_genai_x86_gcc_py3.10_cu11.8.0.whl
5.14 MB
sha256:097c8a4c465ede75fb108a35bf33e9ce9518f40e32b58043bbc340ead81a7038
fbgemm_gpu_nightly_genai_x86_gcc_py3.10_cu12.6.3.whl
11.8 MB
sha256:02749120fa860db6ce24bd7545530acee8d73047cc660103b024118a3140cb0f
fbgemm_gpu_nightly_genai_x86_gcc_py3.10_cu12.8.0.whl
19.4 MB
sha256:bba78f5d1f8d2dff2339d0b8a75d70729e1a70a6940f382f35dc9f9d18a3e88e
fbgemm_gpu_nightly_genai_x86_gcc_py3.11_cu11.8.0.whl
5.14 MB
sha256:4c76e391a105ae029052c34218eb0e545dd0d66eee50d479b3d347782f2125da
fbgemm_gpu_nightly_genai_x86_gcc_py3.11_cu12.6.3.whl
11.8 MB
sha256:e2babfb7e63d34291c88f493e5e6ce3ef8334c46bf7807130ee39fdd38c45684
fbgemm_gpu_nightly_genai_x86_gcc_py3.11_cu12.8.0.whl
19.4 MB
sha256:4a43a661914e7e51966a7e05ad0cebc5854aff47b1f5e2cde89941378cb6eb5c
fbgemm_gpu_nightly_genai_x86_gcc_py3.12_cu11.8.0.whl
5.14 MB
sha256:df672d1ec1bd593e71a7a4a38b3672c9f76d3b73f6a80ded52f3f65d9aa1df2d
fbgemm_gpu_nightly_genai_x86_gcc_py3.12_cu12.6.3.whl
11.8 MB
sha256:b1799f191affd5b09495ee964aa6b5dce9b7341b05145f8480baed337fa7e337
fbgemm_gpu_nightly_genai_x86_gcc_py3.12_cu12.8.0.whl
19.4 MB
sha256:835ad6a480c70c625edd6c76395d666dc4a316812693bebdcd1229bf270da66a
fbgemm_gpu_nightly_genai_x86_gcc_py3.13_cu11.8.0.whl
5.14 MB
sha256:2cc7e120e5459dac84ab2c24491f5812809f78abde313134a76e8f6249e93ac0
fbgemm_gpu_nightly_genai_x86_gcc_py3.13_cu12.6.3.whl
11.8 MB
sha256:fb1dbe50e400ed59b6b020f80ceb9c63d628ac73663de224249ad9131cf6bab0
fbgemm_gpu_nightly_genai_x86_gcc_py3.13_cu12.8.0.whl
19.4 MB
sha256:29ab85db27a96cd1e775ea275496afb47c7d84a84c276d0640c64f746a49859d
fbgemm_gpu_nightly_genai_x86_gcc_py3.9_cu11.8.0.whl
5.14 MB
sha256:54282662b244b11481a59c6775027614396ef9775547c6a1ca89d6fa07730cbf
fbgemm_gpu_nightly_genai_x86_gcc_py3.9_cu12.6.3.whl
11.8 MB
sha256:bd62337d1cd6ca9f69bd0652db88c3081e499493a9f65bbbfbf3a8d4ff9178ee
fbgemm_gpu_nightly_genai_x86_gcc_py3.9_cu12.8.0.whl
19.4 MB
sha256:0f98d2853348eacc61e73b116fac575aef824cd8137701fc472cc55e0917561e