Comments (2)
I do see one copy of libstdc++.so.1
.
find / -name 'libc++.so.1'
# /usr/lib/llvm-18/lib/libc++.so.1
And it looks like clang++-18
is a symlink to that location.
which clang++-18
# /usr/bin/clang++-18
stat /usr/bin/clang++-18
File: /usr/bin/clang++-18 -> ../lib/llvm-18/bin/clang++
Size: 26 Blocks: 0 IO Block: 4096 symbolic link
Device: 65h/101d Inode: 1428380 Links: 1
Access: (0777/lrwxrwxrwx) Uid: ( 0/ root) Gid: ( 0/ root)
Access: 2024-07-14 19:13:14.000000000 +0000
Modify: 2024-07-14 19:13:14.000000000 +0000
Change: 2024-07-18 01:22:36.113571002 +0000
Birth: 2024-07-18 01:22:36.113571002 +0000
Helping the linker find that library resolves the issues.
LD_LIBRARY_PATH="/usr/lib/llvm-18/lib:${LD_LIBRARY_PATH}" \
R CMD INSTALL ./lightgbm_4.4.0.99.tar.gz
But that really shouldn't be necessary (and isn't in any of the other clang{nn}
images from r-hub). I'll put up a PR here to temporarily resolve it and unblock CI, and report this in the repo where the images are built.
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upstream report: r-hub/containers#70
PR to unblock CI: #6554
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Related Issues (20)
- [python-package] [gpu] GPU install on Windows fails HOT 2
- [python-package] Training data partially available when loading exported lgb.Dataset HOT 9
- [CUDA] illegal memory access when using CUDA and large max_bin and large dataset HOT 1
- [python-package] using lgb.Booster(model_file='model.txt') hangs when loading gbdt regression model HOT 8
- [python-package] How to pass additional attributes to custom eval or loss functions in regression task? HOT 8
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- [GPU] [performance] LightGBM Running Significantly Slower Than XGBoost on GPU for Classification Task HOT 6
- Extremely slow data loading on high dimensional dataset.
- [R-package], [GPU], Windows10, install error HOT 1
- `runtime error: member call on address 0x612000003ad8 which does not point to an object of type 'std::streambuf'` in macOS cpp_tests CI job HOT 2
- `OSError: [WinError 122] The data area passed to a system call is too small` in Windows bdist CI job HOT 4
- tests failed HOT 5
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