Cleanup Ridge (#7330)
#2586
rapids-bot[bot]build.yaml
on: push
cpp-build
/
compute-matrix
3s
wheel-build-libcuml
/
compute-matrix
4s
Matrix: cpp-build / build
Matrix: wheel-build-libcuml / build
wheel-publish-libcuml
/
wheels publish
3m 49s
Matrix: python-build / build
Matrix: wheel-build-cuml / build
upload-conda
/
upload
2m 17s
docs-build
/
build
5m 21s
wheel-publish-cuml
/
wheels publish
2m 42s
Artifacts
Produced during runtime
| Name | Size | Digest | |
|---|---|---|---|
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cuml_conda_cpp_cuda12_aarch64
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109 MB |
sha256:24bd668658ce44bbb18a5e98361f71c5a7968d3fc3069211f3243305ca11d018
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cuml_conda_cpp_cuda12_x86_64
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109 MB |
sha256:4f5bb092ddd9d5728f894565a1c3b46ee02eab37c4169c501635b364731e1200
|
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cuml_conda_cpp_cuda13_aarch64
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78.7 MB |
sha256:01fe5e74664f8c5a7dcc6fd27c0c758db2e4a8ee3766b7fcf592e6d0094ef175
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cuml_conda_cpp_cuda13_x86_64
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79.2 MB |
sha256:ad96694f1bdb7c9093f5e5bb7d689c081402579be8771f25084b42e5f91b87cd
|
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cuml_conda_python_cuda12_py310_aarch64
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3.42 MB |
sha256:9821502c935679d44fa80b9c8b6d8bc8420300c8e20f48c8b6115985c5427018
|
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cuml_conda_python_cuda12_py310_x86_64
|
3.71 MB |
sha256:b62c9909bb59206c1b412e1d71e62521a5f894f9edbb2b03a231b9a19b3bc0d0
|
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cuml_conda_python_cuda12_py311_aarch64
|
3.65 MB |
sha256:23e243bd13759bf99d283f4de5d59ceb00c47fbb0935ba57a8bc138e93c2425c
|
|
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cuml_conda_python_cuda12_py311_x86_64
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3.93 MB |
sha256:e2ec77a23bc286dd64aad39287492a85fcd27f250013f9e95b659cc8cec1982a
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cuml_conda_python_cuda12_py312_aarch64
|
3.49 MB |
sha256:009dfb7e225c074b5bec14e2a717efa6f3d427a13ccd909398201f31b4b59351
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cuml_conda_python_cuda12_py312_x86_64
|
3.77 MB |
sha256:aaed1e3313a842953fe835fe10d115cb23ff8b810c25440cfe4bdd5e8a6d66f8
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cuml_conda_python_cuda12_py313_aarch64
|
3.51 MB |
sha256:bf3743626d4b2d0c5c0125adb1490ba4ce8581770a258d1eb97eaa2dba0de013
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cuml_conda_python_cuda12_py313_x86_64
|
3.8 MB |
sha256:2932cded631f164cc27e8e9bf1e6a40a67d400f23eb259877a9d0f16e4af6467
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cuml_conda_python_cuda13_py310_aarch64
|
3.42 MB |
sha256:8c0e8008e1fd4a40dc299b73b166a7d073457a442ba6c78c2cac8085c8434223
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cuml_conda_python_cuda13_py310_x86_64
|
3.71 MB |
sha256:9560360a60db41675511e95c49a8c8fd6d97d7352fef0791d8cba18f9b3d8c15
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cuml_conda_python_cuda13_py311_aarch64
|
3.65 MB |
sha256:d5f7f2c71c19ff4c8b447f59b9b7f4adb005c0beb1e22da25edbda49dddfe7bd
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cuml_conda_python_cuda13_py311_x86_64
|
3.93 MB |
sha256:d68d0986fe9a65c6abb2ffc020c51a04ef62850372cde9d2fb1af78a2669c28c
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cuml_conda_python_cuda13_py312_aarch64
|
3.49 MB |
sha256:7b0cb3c46c8e362d095809228463c2fd0f69effe219287573b8183012fae48d1
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cuml_conda_python_cuda13_py312_x86_64
|
3.77 MB |
sha256:f1843b38560435cc99d0bac1784d8c72625f64aa64e710085c62e230306e3156
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cuml_conda_python_cuda13_py313_aarch64
|
3.51 MB |
sha256:dd2e1c73f59861c200d41d9b53db9b90a8bc4f55fe7830e9da6f5ac207839306
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cuml_conda_python_cuda13_py313_x86_64
|
3.8 MB |
sha256:f0a36b38b017dbffb2c70db80d65578e1a74252e48d5a6bae59d398bdbf511c5
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cuml_wheel_cpp_libcuml_cu12_aarch64
|
457 MB |
sha256:809b847697747105efbd5e1bbb4fa43db3ad8c296e60bafc390c4e062691333c
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cuml_wheel_cpp_libcuml_cu12_x86_64
|
459 MB |
sha256:17eed5727648d99c9130460954ee545083714c32debc6ac94bc28e3eff75af60
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cuml_wheel_cpp_libcuml_cu13_aarch64
|
240 MB |
sha256:c235999f3fadf76051891836fc28a5ea0f52c4dc6d12d3d37f149dddb629ef6e
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cuml_wheel_cpp_libcuml_cu13_x86_64
|
242 MB |
sha256:5b3c8299c8b15e19eba3b98a20d71fb6d18be8855a74cca5fbf8881f58eee6be
|
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cuml_wheel_python_cuml_cu12_py310_aarch64
|
6.43 MB |
sha256:210108dcb46548da9c528ed01e6fd2729c85c355f6bc8481b611904d69cf25a2
|
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cuml_wheel_python_cuml_cu12_py310_x86_64
|
6.85 MB |
sha256:a1d297ac981c22750069b743f0b8afec355a92f4c7230a551266386522154b84
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cuml_wheel_python_cuml_cu12_py311_aarch64
|
6.48 MB |
sha256:409e6287f9aee20b8514626c70a7e3ff357db7576987ee1685e16576e3c08a6e
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cuml_wheel_python_cuml_cu12_py311_x86_64
|
6.91 MB |
sha256:bf74265b27eec1e85ba0f035862e587ca53258438cbeca6c3ed823f494f958e4
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cuml_wheel_python_cuml_cu12_py312_aarch64
|
6.33 MB |
sha256:920a44ca4354d0f8cd0fc43ca0216965d3912c7330bad1f6980520c4dca6ada8
|
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|
cuml_wheel_python_cuml_cu12_py312_x86_64
|
6.77 MB |
sha256:265c10f940ff203a9800a869cd70a6c00bf6f2f7aff0bc168b226aa192e1b50d
|
|
|
cuml_wheel_python_cuml_cu12_py313_aarch64
|
6.31 MB |
sha256:5f2c2856200a4a5190982764a826a8de2776388b67cffd573c6b2332dd6153d0
|
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|
cuml_wheel_python_cuml_cu12_py313_x86_64
|
6.75 MB |
sha256:c1b04fe950c56cc585bdd291d84c9da5d6f6028b928ed0850e6030d556a23b5d
|
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|
cuml_wheel_python_cuml_cu13_py310_aarch64
|
6.36 MB |
sha256:6110411697eeceb44c1dd20aa45803ee8814980694bd2120a90632cd80bcf12b
|
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|
cuml_wheel_python_cuml_cu13_py310_x86_64
|
6.79 MB |
sha256:e17622f86d3c9c88d7139de737f8579b5261e62bdd34f8837dbce55602fe259c
|
|
|
cuml_wheel_python_cuml_cu13_py311_aarch64
|
6.41 MB |
sha256:027921f7b64d58550a67b664cc912a6edb8904b161206307bb6d8d70628d1598
|
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|
cuml_wheel_python_cuml_cu13_py311_x86_64
|
6.85 MB |
sha256:0aa79cebff68d8672630fd5499eb2d5e6de98a3b869ea55f627b65824b85267c
|
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cuml_wheel_python_cuml_cu13_py312_aarch64
|
6.26 MB |
sha256:95ee4627213d8878c81bd86b6e76760b443f684945ced216d865a6ce5d5d5018
|
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cuml_wheel_python_cuml_cu13_py312_x86_64
|
6.71 MB |
sha256:1bd4ebaf421b2eaf80df090b1c3e6c61460a3c2ef7c5d01d812b95bf553cbb72
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cuml_wheel_python_cuml_cu13_py313_aarch64
|
6.24 MB |
sha256:21d39b6e7498a81f90aa7c43223dde91a32c14239d56be7cf4cd0959832ee4ed
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cuml_wheel_python_cuml_cu13_py313_x86_64
|
6.69 MB |
sha256:cdfd604da26b991d5d9be47354cf45e70f3dbdae67fe2506d24187be656373ea
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