Skip to content

make apply_mask a bit more efficient #63

make apply_mask a bit more efficient

make apply_mask a bit more efficient #63

Triggered via pull request August 29, 2025 00:13
Status Failure
Total duration 30m 35s
Artifacts 20
Matrix: build_artifact
Matrix: torchrec_cpu_tests
Fit to window
Zoom out
Zoom in

Annotations

1 error
torchrec_cpu_tests (x86, linux.4xlarge, 20, default, 3.9, clang)
Process completed with exit code 1.

Artifacts

Produced during runtime
Name Size Digest
fbgemm_default_arm_clang_py3.10_cpu.whl
4.35 MB
sha256:1180c3deb9259dbb2a0c5a84a71d9c5a9739dbfd244515aa2b3b2153288afcdb
fbgemm_default_arm_clang_py3.11_cpu.whl
4.35 MB
sha256:a18f159e62eaa7807c07fcfa9aca97e39f929d80816881fab678f1703b77934e
fbgemm_default_arm_clang_py3.12_cpu.whl
4.35 MB
sha256:23be4e5eaefae44d7f3a137a692573b310838f90c5a58c3889715945fb8c66ea
fbgemm_default_arm_clang_py3.13_cpu.whl
4.35 MB
sha256:9d11ffc1460062fd52cb871e4a222949f75499230a5198f5e4ea95bac68d7c7a
fbgemm_default_arm_clang_py3.9_cpu.whl
4.35 MB
sha256:03261318e934340040a6e806da368dde5ec1fd2ea6023577bff6c61e07209910
fbgemm_default_arm_gcc_py3.10_cpu.whl
4.11 MB
sha256:eb73164e270a163529d66e137329c25d95ccbee7a1d69cacc3ba670b8edb5e78
fbgemm_default_arm_gcc_py3.11_cpu.whl
4.11 MB
sha256:ff98854acc845563b03b0497e18e61314ec5174d9bb936f3e0194666a422f1dc
fbgemm_default_arm_gcc_py3.12_cpu.whl
4.11 MB
sha256:f476467f82f55bf03bf97b1240e5bf9edfcc665f4d009ef6862230593b3f0ed3
fbgemm_default_arm_gcc_py3.13_cpu.whl
4.11 MB
sha256:c741fabd4aea6a35f4ca5e5d6ba19d628b7dacbe9ec0aa885aa7e6da1e3c9172
fbgemm_default_arm_gcc_py3.9_cpu.whl
4.11 MB
sha256:2a3432ca4b379232c752c2ac917efe3db65c409b10e803a940d1b7acb8b60468
fbgemm_default_x86_clang_py3.10_cpu.whl
5.7 MB
sha256:0d47d54c8d381f9a95a3710e417321fe50c15d2f716733653fdbdb76499e21b4
fbgemm_default_x86_clang_py3.11_cpu.whl
5.7 MB
sha256:54e5e5f4ffb5ad8d5cea175978aaceaa85c2a91ff7e62f14b981f432973ac031
fbgemm_default_x86_clang_py3.12_cpu.whl
5.7 MB
sha256:5e695a4e240512963fa5ec62c8476f7db5a19021e591126f1666f33d192dc8b6
fbgemm_default_x86_clang_py3.13_cpu.whl
5.7 MB
sha256:75c0c1d96a7e41e8825b0f7acd94bb337f908a2b884f1caed588c24c278421ba
fbgemm_default_x86_clang_py3.9_cpu.whl
5.7 MB
sha256:81f6949c3195b8fb48f744353945f582a117e884751ec07b46db2cdb49586fbc
fbgemm_default_x86_gcc_py3.10_cpu.whl
5.23 MB
sha256:7756222cc937e7cfcd849014b116f555378f01dcf16b429f7912ded8fee7c16d
fbgemm_default_x86_gcc_py3.11_cpu.whl
5.23 MB
sha256:89aecdd98d0fbe298d7aa18b47560c42633e265bdf2dc324b7c910165b88f544
fbgemm_default_x86_gcc_py3.12_cpu.whl
5.23 MB
sha256:d4528210c584886d733afc87b699146564d6b50bc81cecd40f30ca009877f4d9
fbgemm_default_x86_gcc_py3.13_cpu.whl
5.23 MB
sha256:036b4b7f8749779cb6a8bca7d1ab61abf464e159026a885356fad4294d7d39d4
fbgemm_default_x86_gcc_py3.9_cpu.whl
5.23 MB
sha256:1d6e7c3d0672178685cb525875ed068c97d154df8cf3bb456b16fafcabbe685c