Use stream pool for gather and scatter #30963
copy-pr-bot[bot]pr.yaml
on: push
telemetry-setup
6s
check-nightly-ci
10s
Matrix: devcontainer / build
spark-rapids-jni
/
spark-rapids-jni-build
1h 6m
Matrix: conda-cpp-build / build
Matrix: wheel-build-libcudf / build
Matrix: conda-cpp-tests / tests
Matrix: conda-python-build / build
Matrix: wheel-build-pylibcudf / build
Matrix: conda-python-build-noarch / build
Matrix: wheel-build-cudf-polars / build
Matrix: wheel-build-cudf / build
conda-notebook-tests
/
build
5m 10s
third-party-integration-tests-cudf-pandas
/
build
22m 37s
narwhals-tests
/
build
5m 8s
wheel-tests-cudf-polars-with-rapidsmpf
/
compute-matrix
5s
Matrix: conda-python-other-tests / tests
Matrix: conda-python-cudf-tests / tests
Matrix: cudf-polars-polars-tests / test
Matrix: wheel-tests-cudf-polars-with-rapidsmpf / test
Matrix: wheel-tests-cudf-polars / test
Matrix: unit-tests-cudf-pandas / test
Matrix: wheel-tests-cudf / test
Matrix: wheel-build-dask-cudf / build
Matrix: wheel-tests-dask-cudf / test
telemetry-summarize
34s
Annotations
9 errors
Artifacts
Produced during runtime
| Name | Size | Digest | |
|---|---|---|---|
|
cudf_conda_cpp_cuda12_aarch64
|
1.07 GB |
sha256:5f0582dc2eb093ca2fb8e3b51ea2750ea90be7f76a3a6071477abdaa6f5c5f71
|
|
|
cudf_conda_cpp_cuda12_x86_64
|
1.07 GB |
sha256:217d088f16dfef87f90c82918b9512948f60ed916c8e336050983b6c20f0a9e6
|
|
|
cudf_conda_cpp_cuda13_aarch64
|
777 MB |
sha256:3dda10e5c36498b7bb53678ababb13504243cf6e29832c9412e7eb866028a17b
|
|
|
cudf_conda_cpp_cuda13_x86_64
|
771 MB |
sha256:7d09356e447fd7e1b51f7d2a9068e99ae3e2dbe2d9179eb89eb248bb04fcf53f
|
|
|
cudf_conda_python_cuda12_py310_aarch64
|
5.77 MB |
sha256:200450858eb8cb5a3aff381233fdd691def766f1ea6444f7ee20c18eff2cbf54
|
|
|
cudf_conda_python_cuda12_py310_x86_64
|
6.14 MB |
sha256:bb356c910fc8c3d1ef81ca84616929e8d55d847c7e142bdcbe1acde4edc32c9d
|
|
|
cudf_conda_python_cuda12_py311_aarch64
|
6.08 MB |
sha256:1220b43980aeae9f88225442691126aa8db6fd9d42f597e1b5b52e44734b0ce2
|
|
|
cudf_conda_python_cuda12_py311_x86_64
|
6.48 MB |
sha256:e870f3d680a6a1307ba91c8947803abf31317378b37520cb46419e89d049e5bf
|
|
|
cudf_conda_python_cuda12_py312_aarch64
|
5.98 MB |
sha256:296f92b283e42b8e2c50ba7fd85350445520971be85a90dec4899c2b10bd51d2
|
|
|
cudf_conda_python_cuda12_py312_x86_64
|
6.39 MB |
sha256:095912e5e3b93622c86cb7398d183d83c9b07c40528e9b79da538f37abdaf45d
|
|
|
cudf_conda_python_cuda12_py313_aarch64
|
6.03 MB |
sha256:d4c80e6dc713c89f86fbf616147b39774a3f7a01dc42c1c2b1ef892093d759b6
|
|
|
cudf_conda_python_cuda12_py313_x86_64
|
6.42 MB |
sha256:49262226765a4c6768a140f679dbba45ec265e3e563d166cfe8e15d2e63ade48
|
|
|
cudf_conda_python_cuda13_py310_aarch64
|
5.51 MB |
sha256:dc4c667fcc35c0085e7d591f772dac085da7a3de8c736b1549eae0bbfee65ab4
|
|
|
cudf_conda_python_cuda13_py310_x86_64
|
5.86 MB |
sha256:74091f82f54425a15065f2338b4b35faddd42dd20bedfdd41bc3e54ba94a45f8
|
|
|
cudf_conda_python_cuda13_py311_aarch64
|
5.82 MB |
sha256:68dd7b46399fa22b0bec0364c7b87e5a91bfe02827b09042f74b5d9ba44082e5
|
|
|
cudf_conda_python_cuda13_py311_x86_64
|
6.21 MB |
sha256:cba7cd7ad16c14a6704f2c2b2623f4b5b1711745d22f7dc1b8caf56de4612aae
|
|
|
cudf_conda_python_cuda13_py312_aarch64
|
5.72 MB |
sha256:49aec4ba8f4cb8064b00fa1a3d2118b58acec89f9740d60be3ebbe59129478b3
|
|
|
cudf_conda_python_cuda13_py312_x86_64
|
6.12 MB |
sha256:f841098422c6b1f25116a8c5595708df0a2e7b4c7bf91461fcb521f4fd1ed654
|
|
|
cudf_conda_python_cuda13_py313_aarch64
|
5.76 MB |
sha256:49769bf08ff6188ee98a3c785d9e8a7551f98175f215497864ce143e9b6e5cf4
|
|
|
cudf_conda_python_cuda13_py313_x86_64
|
6.15 MB |
sha256:bd06ace6ea7160ff223c73416705aca6da5d224245d6642701abec1ce4eafab3
|
|
|
cudf_conda_python_noarch_cu12
|
278 KB |
sha256:ce9a1137a4668381dcf13f6bf16803cb0735cb87a0bee036fa3fb5edb71373af
|
|
|
cudf_conda_python_noarch_cu13
|
277 KB |
sha256:08b2b51e13d96cc6ee1907867667a66c16d04b387ee13bf61a178c9e5337b55a
|
|
|
cudf_wheel_cpp_libcudf_cu12_aarch64
|
648 MB |
sha256:a90907bc9074651adf1227a8f86066aebf25ff5bdd4aa5f5940b05fcb34d04f3
|
|
|
cudf_wheel_cpp_libcudf_cu12_x86_64
|
652 MB |
sha256:e7aab6e10cb6b5a03781edbea95a8702fdf3febe0b9257791c76eb0d50e9c787
|
|
|
cudf_wheel_cpp_libcudf_cu13_aarch64
|
313 MB |
sha256:5a05aafed075949afed79d4dd8a6192816b13c497a9abb4663fd3896005899d1
|
|
|
cudf_wheel_cpp_libcudf_cu13_x86_64
|
316 MB |
sha256:a0d8e38fa83cdef16f957dcd6a2ed3519e99911f53258d1b37cd991bcdeb848f
|
|
|
cudf_wheel_python_cudf_cu12_py310_aarch64
|
2.59 MB |
sha256:f1f7b232306d410187a8c547665daf00e303f1307c4be100cae2475e90f33f59
|
|
|
cudf_wheel_python_cudf_cu12_py310_x86_64
|
2.6 MB |
sha256:1fd0988a30c4fbb2abf589c65b61fe7d6bc598ba953742d523ce7c2e3022df06
|
|
|
cudf_wheel_python_cudf_cu12_py311_aarch64
|
2.59 MB |
sha256:311ce73e856102d289f9ac88a2d4c5b49e32ab806c37a184b6b449fc6a2e61c6
|
|
|
cudf_wheel_python_cudf_cu12_py311_x86_64
|
2.6 MB |
sha256:ae2fc6489d14d7885896fe70013a2e054f915963a4a9e536dca7124979f18f71
|
|
|
cudf_wheel_python_cudf_cu12_py312_aarch64
|
2.59 MB |
sha256:7c2d0e532d1298e40e5cc27227d672cf5f3e812685072a962ebb2b5924d5cc99
|
|
|
cudf_wheel_python_cudf_cu12_py312_x86_64
|
2.59 MB |
sha256:32be3c76276661257b4b5377d2dd5fe384949bf6c8bb8677f6ecbb7029c1dc57
|
|
|
cudf_wheel_python_cudf_cu12_py313_aarch64
|
2.59 MB |
sha256:63b1307d8297f63764f7bcc16f8730955e38752d5c2cb0087b9c54a990bd8854
|
|
|
cudf_wheel_python_cudf_cu12_py313_x86_64
|
2.59 MB |
sha256:7ef8a5b5368f9b003d009c7c7a3b9233d9d9a121b66759b7b43747f296e0622e
|
|
|
cudf_wheel_python_cudf_cu13_py310_aarch64
|
2.03 MB |
sha256:d92174682c57dcd002bdabb8dc517c4da7330461200176ad79c55e34ebac4458
|
|
|
cudf_wheel_python_cudf_cu13_py310_x86_64
|
2.03 MB |
sha256:8d99008e82660c8c848449d557445c84cdbdf5a65e335b706e043043dc8a13fb
|
|
|
cudf_wheel_python_cudf_cu13_py311_aarch64
|
2.03 MB |
sha256:e8fb902c4a7400e4acc40a21bd0b97ee1af909968912b518d38f4921922c6aa1
|
|
|
cudf_wheel_python_cudf_cu13_py311_x86_64
|
2.03 MB |
sha256:2b82dda8645a9f2375b0a84aa4186af0dcd5d1d604648c9460f3e5965352e138
|
|
|
cudf_wheel_python_cudf_cu13_py312_aarch64
|
2.02 MB |
sha256:dd960e640806a789cdbec264b798af37a3f48cdb76fbc293ed7f266f0c7679a8
|
|
|
cudf_wheel_python_cudf_cu13_py312_x86_64
|
2.03 MB |
sha256:c6f2859f4bf502d7cf41d2e32f75540e3db05f273004ec6c35c7cc81775feff8
|
|
|
cudf_wheel_python_cudf_cu13_py313_aarch64
|
2.02 MB |
sha256:9b046d16e4bfbecfc7db1d3c652f8f758e143d8fda89b338c52d62c39a0c5dab
|
|
|
cudf_wheel_python_cudf_cu13_py313_x86_64
|
2.03 MB |
sha256:bace0c9265791b551f8d7207ea5c0e5b071e75c1ecf11bd1c41fd9c6d7b7f0a0
|
|
|
cudf_wheel_python_cudf_polars_cu12
|
278 KB |
sha256:75011f650ca13a82413b09d4489ed5eb8c6bb219cb73fc77bc21ed8895dbc711
|
|
|
cudf_wheel_python_cudf_polars_cu13
|
278 KB |
sha256:9cab5ac8d368b81f45cc60df71fe943946782b1ff6156caf34abda301f0c299b
|
|
|
cudf_wheel_python_dask_cudf_cu12
|
48.4 KB |
sha256:da7305796677d4cf7123d3866bb327de8898b10de634b9f9154e099300e3572f
|
|
|
cudf_wheel_python_dask_cudf_cu13
|
48.4 KB |
sha256:50bdd1bf190ebb28d471fb3e3af55b346d13aac9078d7d6049d67c6ca2b595fd
|
|
|
cudf_wheel_python_pylibcudf_cu12_py310_aarch64
|
7.59 MB |
sha256:94d32e5ca78ca6826f72ca18e9a28e6fd20ec6b3465e17188bba9a8d75fe2691
|
|
|
cudf_wheel_python_pylibcudf_cu12_py310_x86_64
|
8.23 MB |
sha256:76fd2558dd7e069012c15bd2b4293fba2b2b69efdf86745e416c7b86250b8f79
|
|
|
cudf_wheel_python_pylibcudf_cu12_py311_aarch64
|
7.62 MB |
sha256:6292845104d420107fc7169a7a0d19c1c6d1e21a818ffbda4fe183c7a7a66a04
|
|
|
cudf_wheel_python_pylibcudf_cu12_py311_x86_64
|
8.27 MB |
sha256:ca0a8dcd617a921d978c0a1ff2d007100613279d436788f42c6c91be5e6bdfd8
|
|
|
cudf_wheel_python_pylibcudf_cu12_py312_aarch64
|
7.52 MB |
sha256:4a050deb534e330eeba67a086390b9b9f61150733b87ba6a35cfe66b2065eeb1
|
|
|
cudf_wheel_python_pylibcudf_cu12_py312_x86_64
|
8.18 MB |
sha256:867643c18e22b4e72ca00638c07b2f9792157b1a0d503ac205d951359955be25
|
|
|
cudf_wheel_python_pylibcudf_cu12_py313_aarch64
|
7.47 MB |
sha256:eb3d484f19b005ef4d058b8efc7283195aa27ce89d28f49a30ad0710aae22594
|
|
|
cudf_wheel_python_pylibcudf_cu12_py313_x86_64
|
8.14 MB |
sha256:dc0215943dea323c31ec21038a789f557301108d92ded11c19b433ce8dd768ff
|
|
|
cudf_wheel_python_pylibcudf_cu13_py310_aarch64
|
7.59 MB |
sha256:af0ca7640c7853ac2ecbc6bb0ef2e58d11a14eccca4b83b56af9d7e24e2b3b10
|
|
|
cudf_wheel_python_pylibcudf_cu13_py310_x86_64
|
8.24 MB |
sha256:fee952655ac7f9fb081182a468e2c0186c47a23a5a6127d9623caf6486cb3292
|
|
|
cudf_wheel_python_pylibcudf_cu13_py311_aarch64
|
7.62 MB |
sha256:8a68e04bf5e92ebfc69c1ef8ed6142b220b8a759f6e6ee7b432424524d0c6200
|
|
|
cudf_wheel_python_pylibcudf_cu13_py311_x86_64
|
8.27 MB |
sha256:cebeeed3384fe34de5ae7bd3fc202a161668ca47c56f813cdd57081285784557
|
|
|
cudf_wheel_python_pylibcudf_cu13_py312_aarch64
|
7.51 MB |
sha256:bed634d03eaaa4896ef626ffa77d5d7d98bc2aa9d6a750bc35dc98c7f280a528
|
|
|
cudf_wheel_python_pylibcudf_cu13_py312_x86_64
|
8.19 MB |
sha256:eed14f583dd66d5853dbb242d203e50c7ea2e9126e4d3a283ea2d83d04376702
|
|
|
cudf_wheel_python_pylibcudf_cu13_py313_aarch64
|
7.47 MB |
sha256:adf0124c36934c9b7d60fd30423f51f6694d824ff0d95e8a1de911101b8e80a8
|
|
|
cudf_wheel_python_pylibcudf_cu13_py313_x86_64
|
8.15 MB |
sha256:8b7ee8da0c9a2b413242888b5097df63ac377c68495e362c8fdcbad436f913db
|
|
|
sccache-client-logs-cuda13.1-conda-amd64-21294706297-1-8358
|
314 KB |
sha256:c104374449a7f5125a704bf67ef6733a20b9bd036a08bdf342ce2f53bae74ad3
|
|
|
sccache-client-logs-cuda13.1-conda-arm64-21294706297-1-27635
|
308 KB |
sha256:641cdb3b6c29a27c70b84abf6273f8be40274d37847c58c39541a3d25e100f01
|
|
|
sccache-client-logs-cuda13.1-pip-amd64-21294706297-1-26489
|
390 KB |
sha256:297d31ddd59797ff4ae814e6c424dacce6842e3110faf397a98b11958a630af6
|
|
|
sccache-client-logs-cuda13.1-pip-arm64-21294706297-1-24308
|
393 KB |
sha256:7d6433b2fb1f03a85fdf6ac1f2de1d60a9ed2fe0891aa8e945dfb37ce1a5420e
|
|