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首页 › 业界区 › 安全 ›解决Cupy相关报错

解决Cupy相关报错

蓝娅萍 2025-5-31 23:54:09
问题背景

仅作为一个记录，介绍一些单独安装和使用cupy的过程中有可能遇到的一些报错及相应的解决办法，还有一些问题是配置过程中遇到的环境问题。
libnvrtc相关问题

报错信息：
  1. RuntimeError: CuPy failed to load libnvrtc.so.11.2: OSError: libnvrtc.so.11.2: cannot open shared object file: No such file or directory
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解决方案：
  1. $ sudo find / -name "libnvrtc.so.11.2
  2. $ export LD_LIBRARY_PATH=xxx/lib/:$LD_LIBRARY_PATH
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配置好正确的libnvrtc路径即可。
cuVS相关问题

报错信息：
  1. RuntimeError: cuVS >= 24.12 or pylibraft < 24.12 should be installed to use this feature
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解决方案：
  1. $ python3 -m pip install --upgrade cuvs-cu11==24.12.*
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cdist计算报错

报错信息：
  1. Traceback (most recent call last):
  2.     dis = cdist(middle, grid)
  3.           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  4.   File "/root/miniconda3/lib/python3.12/site-packages/cupyx/scipy/spatial/distance.py", line 630, in cdist
  5.     pairwise_distance(XA, XB, output_arr, metric, p)
  6.   File "resources.pyx", line 110, in cuvs.common.resources.auto_sync_resources.wrapper
  7.   File "/root/miniconda3/lib/python3.12/site-packages/pylibraft/common/outputs.py", line 83, in wrapper
  8.     ret_value = f(*args, **kwargs)
  9.                 ^^^^^^^^^^^^^^^^^^
  10.   File "distance.pyx", line 140, in cuvs.distance.distance.pairwise_distance
  11.   File "exceptions.pyx", line 37, in cuvs.common.exceptions.check_cuvs
  12. cuvs.common.exceptions.CuvsException: CUDA error encountered at: file=/pyenv/versions/3.12.9/lib/python3.12/site-packages/libraft/include/raft/linalg/detail/coalesced_reduction-inl.cuh line=271: call='cudaPeekAtLastError()', Reason=cudaErrorInvalidConfiguration:invalid configuration argument
  13. Obtained 26 stack frames
  14. #1 in /root/miniconda3/lib/python3.12/site-packages/libcuvs/lib64/libcuvs.so: raft::cuda_error::cuda_error(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) +0xbd [0x7ff1f5dfca1d]
  15. #2 in /root/miniconda3/lib/python3.12/site-packages/libcuvs/lib64/libcuvs.so(+0x4310f5) [0x7ff1f5c450f5]
  16. #3 in /root/miniconda3/lib/python3.12/site-packages/libcuvs/lib64/libcuvs.so(+0xf383ac) [0x7ff1f674c3ac]
  17. #4 in /root/miniconda3/lib/python3.12/site-packages/libcuvs/lib64/libcuvs.so(+0xf3865f) [0x7ff1f674c65f]
  18. #5 in /root/miniconda3/lib/python3.12/site-packages/libcuvs/lib64/libcuvs.so: void cuvs::distance::pairwise_distance<float, int, float>(raft::resources const&, float const*, float const*, float*, int, int, int, cuvsDistanceType, bool, float) +0x3b6 [0x7ff1f679d426]
  19. #6 in /root/miniconda3/lib/python3.12/site-packages/libcuvs/lib64/libcuvs.so: void cuvs::distance::pairwise_distance<float, std::experimental::layout_right, int, float>(raft::resources const&, std::experimental::mdspan<float const, std::experimental::extents<int, 18446744073709551615ul, 18446744073709551615ul>, std::experimental::layout_right, raft::host_device_accessor<std::experimental::default_accessor<float const>, (raft::memory_type)2> >, std::experimental::mdspan<float const, std::experimental::extents<int, 18446744073709551615ul, 18446744073709551615ul>, std::experimental::layout_right, raft::host_device_accessor<std::experimental::default_accessor<float const>, (raft::memory_type)2> >, std::experimental::mdspan<float, std::experimental::extents<int, 18446744073709551615ul, 18446744073709551615ul>, std::experimental::layout_right, raft::host_device_accessor<std::experimental::default_accessor<float>, (raft::memory_type)2> >, cuvsDistanceType, float) +0x3c7 [0x7ff1f679da87]
  20. #7 in /root/miniconda3/lib/python3.12/site-packages/libcuvs/lib64/libcuvs_c.so(+0x7a1a3) [0x7ff29d8e91a3]
  21. #8 in /root/miniconda3/lib/python3.12/site-packages/libcuvs/lib64/libcuvs_c.so: cuvsPairwiseDistance +0x37 [0x7ff29d8e9837]
  22. #9 in /root/miniconda3/lib/python3.12/site-packages/cuvs/distance/distance.cpython-312-x86_64-linux-gnu.so(+0x48237) [0x7ff29e4e6237]
  23. #10 in python3: _PyObject_Call +0x122 [0x55e162]
  24. #11 in python3: _PyEval_EvalFrameDefault +0x503a [0x52d84a]
  25. #12 in python3: PyVectorcall_Call +0xe1 [0x4dcf63]
  26. #13 in /root/miniconda3/lib/python3.12/site-packages/cuvs/common/resources.cpython-312-x86_64-linux-gnu.so(+0x4850e) [0x7ff29e48850e]
  27. #14 in python3: _PyObject_MakeTpCall +0x2fb [0x51e38b]
  28. #15 in python3: _PyEval_EvalFrameDefault +0x6ce [0x528ede]
  29. #16 in python3: PyEval_EvalCode +0xae [0x5e581e]
  30. #17 in python3() [0x60bfd7]
  31. #18 in python3() [0x6071c7]
  32. #19 in python3() [0x61f452]
  33. #20 in python3: _PyRun_SimpleFileObject +0x1b0 [0x61ed90]
  34. #21 in python3: _PyRun_AnyFileObject +0x43 [0x61eb83]
  35. #22 in python3: Py_RunMain +0x303 [0x617c93]
  36. #23 in python3: Py_BytesMain +0x39 [0x5d03c9]
  37. #24 in /lib/x86_64-linux-gnu/libc.so.6(+0x29d90) [0x7ff2f3fc3d90]
  38. #25 in /lib/x86_64-linux-gnu/libc.so.6: __libc_start_main +0x80 [0x7ff2f3fc3e40]
  39. #26 in python3() [0x5d01f9]
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原因：输入了0维数组，需确认输入正确。
libffi相关问题

报错信息：
  1. $ git pull
  2. /usr/lib/git-core/git-remote-https: symbol lookup error: /lib/x86_64-linux-gnu/libp11-kit.so.0: undefined symbol: ffi_type_pointer, version LIBFFI_BASE_7.0
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解决方案：
  1. $ sudo find / -name libffi*
  2. xxx/lib/libffi.so.7
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找到相应的动态链接库文件之后，先做一个备份：
  1. $ mv xxx/lib/libffi.so.7 xxx/lib/libffi.so.7.bak
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然后制作一个软链接：
  1. $ sudo ln -s /usr/lib/x86_64-linux-gnu/libffi.so.7.1.0 xxx/lib/libffi.so.7
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确保相应的动态链接库在系统路径的配置中：
  1. export LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu:$LD_LIBRARY_PATH
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总结概要

本文记录了一些使用python-cupy的过程中有可能的遇到的一些问题，一部分是环境配置问题，还有一部分是运行输入问题。
版权声明

本文首发链接为：https://www.cnblogs.com/dechinphy/p/cupy-error.html
作者ID：DechinPhy
更多原著文章：https://www.cnblogs.com/dechinphy/
请博主喝咖啡：https://www.cnblogs.com/dechinphy/gallery/image/379634.html

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蓝娅萍
2025-5-31 23:54:09

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