Fix OSS GenAI #10674
spcypptfbgemm_gpu_ci_cuda.yml
on: pull_request
Matrix: build_artifact
Matrix: test_and_publish_artifact
Annotations
5 errors
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build_artifact (x86, linux.24xlarge, 3.11, 12.8.0, gcc)
The operation was canceled.
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build_artifact (x86, linux.24xlarge, 3.11, 12.8.0, gcc)
Canceling since a higher priority waiting request for FBGEMM_GPU-CUDA CI-4105 exists
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build_artifact (x86, linux.24xlarge, 3.13, 12.8.0, gcc)
The operation was canceled.
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build_artifact (x86, linux.24xlarge, 3.13, 12.8.0, gcc)
Canceling since a higher priority waiting request for FBGEMM_GPU-CUDA CI-4105 exists
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FBGEMM_GPU-CUDA CI
Canceling since a higher priority waiting request for FBGEMM_GPU-CUDA CI-4105 exists
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Artifacts
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fbgemm_gpu_nightly_cuda_x86_clang_py3.10_cu11.8.0.whl
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254 MB |
sha256:655420729d44c71b88b8bb9c4c2ca0ee9c49abbda555d88179ba64db16cb4835
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fbgemm_gpu_nightly_cuda_x86_clang_py3.10_cu12.6.3.whl
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493 MB |
sha256:47461567a9683915844ea3a2378599b3e4ff6ffd8b20690c0bcf35db64a73729
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fbgemm_gpu_nightly_cuda_x86_clang_py3.10_cu12.8.0.whl
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730 MB |
sha256:8fea53e194bed325f3511a8697abb149d2bd3939ee9ed4e95012b8a07240d19d
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fbgemm_gpu_nightly_cuda_x86_clang_py3.11_cu11.8.0.whl
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254 MB |
sha256:18d6b791ab3db2d56d00c7c560102684b861ecc99789c5ba8889e38ae4cacc29
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fbgemm_gpu_nightly_cuda_x86_clang_py3.11_cu12.6.3.whl
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493 MB |
sha256:3b91d30c7c03b8b3653918a11c1587712ede22dbc9e7aee27dfc0f5b16547730
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fbgemm_gpu_nightly_cuda_x86_clang_py3.11_cu12.8.0.whl
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730 MB |
sha256:5b52cace95f91a0e30cc7b2c4f088edbf68d59e972f89934c0e0b93eab95488b
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fbgemm_gpu_nightly_cuda_x86_clang_py3.12_cu11.8.0.whl
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254 MB |
sha256:b262c0540de07b559ef98ab421d765529ad806d1c5f3f44c0fbdd99a70913fb3
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fbgemm_gpu_nightly_cuda_x86_clang_py3.12_cu12.6.3.whl
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493 MB |
sha256:9d4e38a3c1fac7d103b38cc9a7b7d668f66f3a7c532147ac1afc0cfa136846b9
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fbgemm_gpu_nightly_cuda_x86_clang_py3.12_cu12.8.0.whl
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730 MB |
sha256:e0bee8399dc538c862ba389c6cd1646970a1efcaf0b80f0fc92a39f292439153
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fbgemm_gpu_nightly_cuda_x86_clang_py3.13_cu11.8.0.whl
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254 MB |
sha256:019533143889885ada3da0439b39c7ac5a091962e28e04887bc3b8c20fa00f56
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fbgemm_gpu_nightly_cuda_x86_clang_py3.13_cu12.6.3.whl
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493 MB |
sha256:5530cd9b1e3e37852e8f350086931184b3e7e78312b09023cab84d8e4eadf697
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fbgemm_gpu_nightly_cuda_x86_clang_py3.13_cu12.8.0.whl
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730 MB |
sha256:0c4d3004ce782f780ccf26411cd1d928deb82250f2a29b6f8ba614cd469999b7
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fbgemm_gpu_nightly_cuda_x86_clang_py3.9_cu11.8.0.whl
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254 MB |
sha256:2fcb9e82f6ca264c4542241e1db035c47ff56707f4b4d75a5847042890e4abf4
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fbgemm_gpu_nightly_cuda_x86_clang_py3.9_cu12.6.3.whl
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493 MB |
sha256:fedebf10451201a5d35862b3c2551ddcfda6f335e590cc9da19d864f0171497a
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fbgemm_gpu_nightly_cuda_x86_clang_py3.9_cu12.8.0.whl
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730 MB |
sha256:e93c2cda5aac8800f21f50ca385bdea6aeaa9ba1075c5a80f999a6fbfffbc10c
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.10_cu11.8.0.whl
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259 MB |
sha256:13925ea8fa59b951fb300700851381055ea83018488645fc8f391b036a395c15
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.10_cu12.6.3.whl
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498 MB |
sha256:ee016906a98a64f9a3ef4a7a34b54f5ce12002222a2094f3861d9dc9b18b43b2
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.10_cu12.8.0.whl
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733 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.11_cu11.8.0.whl
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259 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.11_cu12.6.3.whl
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497 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.12_cu11.8.0.whl
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259 MB |
sha256:311fb9cbb433d7a055f2e45db5c47dbc57553068bc2738badedd3d4fa47a75e6
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.12_cu12.6.3.whl
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498 MB |
sha256:3d940113e701d0fac5023cd0891af8042931542d53ce4051d37b6938aa38e518
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.12_cu12.8.0.whl
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733 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.13_cu11.8.0.whl
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259 MB |
sha256:8fda9b5c0a6f83e649f920a9bf13e7fffe17c31ee1d1287df386b64fb2301b96
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.13_cu12.6.3.whl
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498 MB |
sha256:c6e11ad778c849799173c165f97dc36573552999826fca878866aa9ccfe01588
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.9_cu11.8.0.whl
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259 MB |
sha256:222bf1b1d6c0e995577d6a927c189fded60e67e5d8c50787304df00d2212ff00
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.9_cu12.6.3.whl
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498 MB |
sha256:b57f14575985de6399b34fc5673827160b0702200b2fdc7f8d3e7ecdef301949
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.9_cu12.8.0.whl
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733 MB |
sha256:aaa5f8e68856b4ecf47f4f702df1845df370542b394f8d82fd8bf0933bd542e9
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