[614/614] Linking CXX static library libcudftestutil.a
[INFO] Scanning for projects...
[INFO]
[INFO] ------------------------------------------------------------------------
[INFO] Building cudfjni 22.06.0-SNAPSHOT
[INFO] ------------------------------------------------------------------------
...
[exec] CMake Error at CMakeLists.txt:125 (add_library):
[exec] Target "cudfjni" links to target "kvikio::kvikio" but the target was not
[exec] found. Perhaps a find_package() call is missing for an IMPORTED target, or
[exec] an ALIAS target is missing?
...
[exec] CMake Generate step failed. Build files cannot be regenerated correctly.
[INFO] ------------------------------------------------------------------------
[INFO] BUILD FAILURE
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 6.030s
[INFO] Finished at: Mon Apr 25 20:24:51 UTC 2022
[INFO] Final Memory: 16M/481M
[INFO] ------------------------------------------------------------------------
[ERROR] Failed to execute goal org.apache.maven.plugins:maven-antrun-plugin:1.8:run (cmake) on project cudf: An Ant BuildException has occured: exec returned: 1
[ERROR] around Ant part ...... @ 5:90 in /rapids/cudf/java/target/antrun/build-main.xml
[ERROR] -> [Help 1]
[ERROR]
[ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch.
[ERROR] Re-run Maven using the -X switch to enable full debug logging.
[ERROR]
[ERROR] For more information about the errors and possible solutions, please read the following articles:
[ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/MojoExecutionException
Expected behaviorbuild.sh [clean] cudfjar should produce a portable cudf jar without issues
Environment overview (please complete the following information)
**git***
commit 75f3873b87af8871c4fb85077df3dba4bbe24e2a (HEAD, origin/branch-22.06, branch-22.06)
Author: Bradley Dice
Date: Mon Apr 25 13:09:30 2022 -0500
Use upstream clang-format pre-commit hook. (#10659)
This PR improves the use of clang-format in pre-commit and CI by using a hook that is managed and cached by pre-commit. Developers who do not use pre-commit will see no changes to their workflow. Developers using pre-commit will be guaranteed that their code is formatted with the pinned version of clang-format (and will always align with CI's style check expectations) even if they have a different version of clang-format (or no version of clang-format) installed on their path. Like all pre-commit hooks for linting CMake and Python code, this version pinning will need to be kept in sync with the conda environment if we choose to upgrade clang-format.
Note: this is aligned with how cuCollections uses clang-format, and it seems that has gone well. Thanks to @PointKernel for testing it on that repo!
https://github.com/NVIDIA/cuCollections/blob/dev/.pre-commit-config.yaml
Authors:
- Bradley Dice (https://github.com/bdice)
Approvers:
- Yunsong Wang (https://github.com/PointKernel)
- Vyas Ramasubramani (https://github.com/vyasr)
URL: https://github.com/rapidsai/cudf/pull/10659
**git submodules***
You need to run this command from the toplevel of the working tree.
***OS Information***
CentOS Linux release 7.9.2009 (Core)
NAME="CentOS Linux"
VERSION="7 (Core)"
ID="centos"
ID_LIKE="rhel fedora"
VERSION_ID="7"
PRETTY_NAME="CentOS Linux 7 (Core)"
ANSI_COLOR="0;31"
CPE_NAME="cpe:/o:centos:centos:7"
HOME_URL="https://www.centos.org/"
BUG_REPORT_URL="https://bugs.centos.org/"
CENTOS_MANTISBT_PROJECT="CentOS-7"
CENTOS_MANTISBT_PROJECT_VERSION="7"
REDHAT_SUPPORT_PRODUCT="centos"
REDHAT_SUPPORT_PRODUCT_VERSION="7"
CentOS Linux release 7.9.2009 (Core)
CentOS Linux release 7.9.2009 (Core)
Linux 73a60e229f11 5.10.102.1-microsoft-standard-WSL2 #1 SMP Wed Mar 2 00:30:59 UTC 2022 x86_64 x86_64 x86_64 GNU/Linux
***GPU Information***
Mon Apr 25 20:41:50 2022
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 510.60.02 Driver Version: 512.15 CUDA Version: 11.6 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA RTX A300... On | 00000000:01:00.0 Off | N/A |
| N/A 45C P0 19W / N/A | 0MiB / 6144MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
***CPU***
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
CPU(s): 16
On-line CPU(s) list: 0-15
Thread(s) per core: 2
Core(s) per socket: 8
Socket(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 141
Model name: 11th Gen Intel(R) Core(TM) i7-11850H @ 2.50GHz
Stepping: 1
CPU MHz: 2496.000
BogoMIPS: 4992.00
Hypervisor vendor: Microsoft
Virtualization type: full
L1d cache: 48K
L1i cache: 32K
L2 cache: 1280K
L3 cache: 24576K
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology tsc_reliable nonstop_tsc cpuid pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase bmi1 avx2 smep bmi2 erms invpcid avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves avx512vbmi umip avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq rdpid fsrm avx512_vp2intersect flush_l1d arch_capabilities
***CMake***
/usr/local/cmake-3.22.3-linux-x86_64/bin/cmake
cmake version 3.22.3
CMake suite maintained and supported by Kitware (kitware.com/cmake).
***g++***
/opt/rh/devtoolset-9/root/usr/bin/g++
g++ (GCC) 9.3.1 20200408 (Red Hat 9.3.1-2)
Copyright (C) 2019 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
***nvcc***
/usr/local/cuda/bin/nvcc
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Mon_Sep_13_19:13:29_PDT_2021
Cuda compilation tools, release 11.5, V11.5.50
Build cuda_11.5.r11.5/compiler.30411180_0
***Python***
/usr/bin/python
Python 2.7.5
***Environment Variables***
PATH : /opt/rh/devtoolset-9/root/usr/bin:/usr/local/cmake-3.22.3-linux-x86_64/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
LD_LIBRARY_PATH : /opt/rh/devtoolset-9/root/usr/lib64:/opt/rh/devtoolset-9/root/usr/lib:/opt/rh/devtoolset-9/root/usr/lib64/dyninst:/opt/rh/devtoolset-9/root/usr/lib/dyninst:/opt/rh/devtoolset-9/root/usr/lib64:/opt/rh/devtoolset-9/root/usr/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
NUMBAPRO_NVVM :
NUMBAPRO_LIBDEVICE :
CONDA_PREFIX :
PYTHON_PATH :
conda not found
pip not found
Describe the bug When using build.sh cudfjar on HEAD we observe a build failure in the Maven cmake step.
Steps/Code to reproduce bug Execute from the top directory of the local git repo:
build log details
Expected behavior
build.sh [clean] cudfjar
should produce a portable cudf jar without issuesEnvironment overview (please complete the following information)
Environment details
Click here to see environment details
Additional context N/A