我有一个库my_lib.so
,它链接到几个CUDA10.1库,包括libnppicc.so
在库上运行ldd
会输出以下结果-所有依赖项都已正确解析:
12:51:45 ~/ $ ldd my_lib.so
linux-vdso.so.1 (0x00007fffc5183000)
libopenblas.so.0 => /usr/lib/x86_64-linux-gnu/libopenblas.so.0 (0x00007f8bdbb00000)
librt.so.1 => /usr/lib/x86_64-linux-gnu/librt.so.1 (0x00007f8bdbaf6000)
libomp.so => /usr/lib/llvm-7/lib/libomp.so (0x00007f8bdba0d000)
libpthread.so.0 => /usr/lib/x86_64-linux-gnu/libpthread.so.0 (0x00007f8bdb9ec000)
libcudnn.so.7 => /usr/lib/x86_64-linux-gnu/libcudnn.so.7 (0x00007f8bc5100000)
libdl.so.2 => /usr/lib/x86_64-linux-gnu/libdl.so.2 (0x00007f8bc50f9000)
libcudart.so.10.1 => /usr/local/cuda-10.1/targets/x86_64-linux/lib/libcudart.so.10.1 (0x00007f8bc4e33000)
libcublas.so.10 => /usr/lib/x86_64-linux-gnu/libcublas.so.10 (0x00007f8bc1098000)
libcufft.so.10 => /usr/local/cuda/lib64/libcufft.so.10 (0x00007f8bb2d34000)
libcusolver.so.10 => /usr/local/cuda-10.1/targets/x86_64-linux/lib/libcusolver.so.10 (0x00007f8ba8229000)
libcurand.so.10 => /usr/local/cuda/lib64/libcurand.so.10 (0x00007f8ba32f9000)
libnppicc.so.10 => /usr/local/cuda-10.1/targets/x86_64-linux/lib/libnppicc.so.10 (0x00007f8ba2cba000)
libnppial.so.10 => /usr/local/cuda-10.1/targets/x86_64-linux/lib/libnppial.so.10 (0x00007f8ba1f67000)
libnppist.so.10 => /usr/local/cuda-10.1/targets/x86_64-linux/lib/libnppist.so.10 (0x00007f8ba0b11000)
libnppidei.so.10 => /usr/local/cuda-10.1/targets/x86_64-linux/lib/libnppidei.so.10 (0x00007f8ba0121000)
libnppig.so.10 => /usr/local/cuda-10.1/targets/x86_64-linux/lib/libnppig.so.10 (0x00007f8b9e64f000)
libnppitc.so.10 => /usr/local/cuda-10.1/targets/x86_64-linux/lib/libnppitc.so.10 (0x00007f8b9e165000)
libnpps.so.10 => /usr/local/cuda-10.1/targets/x86_64-linux/lib/libnpps.so.10 (0x00007f8b9d6de000)
libnvToolsExt.so.1 => /usr/local/cuda/lib64/libnvToolsExt.so.1 (0x00007f8b9d4d5000)
libstdc++.so.6 => /usr/lib/x86_64-linux-gnu/libstdc++.so.6 (0x00007f8b9d351000)
libm.so.6 => /usr/lib/x86_64-linux-gnu/libm.so.6 (0x00007f8b9d1ce000)
libmvec.so.1 => /usr/lib/x86_64-linux-gnu/libmvec.so.1 (0x00007f8b9d1a2000)
libgcc_s.so.1 => /usr/lib/x86_64-linux-gnu/libgcc_s.so.1 (0x00007f8b9d188000)
libc.so.6 => /usr/lib/x86_64-linux-gnu/libc.so.6 (0x00007f8b9cfc5000)
/lib64/ld-linux-x86-64.so.2 (0x00007f8c3990d000)
libgfortran.so.5 => /usr/lib/x86_64-linux-gnu/libgfortran.so.5 (0x00007f8b9cd57000)
libcublasLt.so.10 => /usr/lib/x86_64-linux-gnu/libcublasLt.so.10 (0x00007f8b9aeb3000)
libnppc.so.10 => /usr/local/cuda-10.1/targets/x86_64-linux/lib/libnppc.so.10 (0x00007f8b9ac38000)
libquadmath.so.0 => /usr/lib/x86_64-linux-gnu/libquadmath.so.0 (0x00007f8b9abf4000)
libz.so.1 => /usr/lib/x86_64-linux-gnu/libz.so.1 (0x00007f8b9a9d6000)
接下来,我有一个python绑定库,它正确地链接到这个共享库lib_tf.so
。
当我尝试运行导入python模块的简单python程序时,出现以下错误:
Traceback (most recent call last):
File "test.py", line 8, in <module>
import myLib
ImportError: /home/Jim/my_python_bindings_lib.cpython-37m-x86_64-linux-gnu.so: undefined symbol: nppiGammaInv_8u_C3IR
因此,我们得到一个未定义的符号错误nppiGammaInv_8u_C3IR
。
奇怪的是,这个符号是在被链接的libnppicc.so
中定义的
我们可以通过运行nm
来确认这种情况:
12:51:53 ~/$ nm -D /usr/local/cuda-10.1/targets/x86_64-linux/lib/libnppicc.so.10 | gr
ep nppiGammaInv_8u_C3IR
0000000000090590 T nppiGammaInv_8u_C3IR
00000000000907b0 T nppiGammaInv_8u_C3IR_Ctx
当符号有定义时,为什么会出现此错误? 奇怪的是,当我运行相同的测试脚本&;在安装了CUDA 10.1的其他机器上,libs运行良好。这台特定的机器出了点问题,但我不知道是什么原因。我也在这台机器上安装了cuda 11.1,不确定这是否相关
编辑
有人建议我也在python绑定库上运行ldd
,因此它是:
09:49:10 ~/ $ ldd my_python_bindings_lib.cpython-37m-x86_64-linux-gnu.so
linux-vdso.so.1 (0x00007ffd3f79c000)
my_lib.so => /home/Jim/my_lib.so (0x00007f5a522f4000)
libgomp.so.1 => /usr/lib/x86_64-linux-gnu/libgomp.so.1 (0x00007f5a522c3000)
libpthread.so.0 => /usr/lib/x86_64-linux-gnu/libpthread.so.0 (0x00007f5a522a2000)
libstdc++.so.6 => /usr/lib/x86_64-linux-gnu/libstdc++.so.6 (0x00007f5a5211e000)
libm.so.6 => /usr/lib/x86_64-linux-gnu/libm.so.6 (0x00007f5a51f9b000)
libgcc_s.so.1 => /usr/lib/x86_64-linux-gnu/libgcc_s.so.1 (0x00007f5a51f7f000)
libc.so.6 => /usr/lib/x86_64-linux-gnu/libc.so.6 (0x00007f5a51dbe000)
/lib64/ld-linux-x86-64.so.2 (0x00007f5ab0bd0000)
libopenblas.so.0 => /usr/lib/x86_64-linux-gnu/libopenblas.so.0 (0x00007f5a4fbda000)
librt.so.1 => /usr/lib/x86_64-linux-gnu/librt.so.1 (0x00007f5a4fbd0000)
libomp.so => /usr/lib/llvm-7/lib/libomp.so (0x00007f5a4fae7000)
libcudnn.so.7 => /usr/lib/x86_64-linux-gnu/libcudnn.so.7 (0x00007f5a391fb000)
libdl.so.2 => /usr/lib/x86_64-linux-gnu/libdl.so.2 (0x00007f5a391f4000)
libcudart.so.10.1 => /usr/local/cuda-10.1/targets/x86_64-linux/lib/libcudart.so.10.1 (0x00007f5a38f2e000)
libcublas.so.10 => /usr/lib/x86_64-linux-gnu/libcublas.so.10 (0x00007f5a35193000)
libcufft.so.10 => /usr/local/cuda/lib64/libcufft.so.10 (0x00007f5a26e2f000)
libcusolver.so.10 => /usr/local/cuda-10.1/targets/x86_64-linux/lib/libcusolver.so.10 (0x00007f5a1c324000)
libcurand.so.10 => /usr/local/cuda/lib64/libcurand.so.10 (0x00007f5a173f2000)
libnvToolsExt.so.1 => /usr/local/cuda/lib64/libnvToolsExt.so.1 (0x00007f5a171e9000)
libgfortran.so.5 => /usr/lib/x86_64-linux-gnu/libgfortran.so.5 (0x00007f5a16f7b000)
libcublasLt.so.10 => /usr/lib/x86_64-linux-gnu/libcublasLt.so.10 (0x00007f5a150d7000)
libquadmath.so.0 => /usr/lib/x86_64-linux-gnu/libquadmath.so.0 (0x00007f5a15093000)
libz.so.1 => /usr/lib/x86_64-linux-gnu/libz.so.1 (0x00007f5a14e75000)
您正在导入一个Python模块,它依赖于
my_python_bindings_lib.cpython-37m-x86_64-linux-gnu.so
该图书馆:
nppiGammaInv_8u_C3IR
(在libnppicc
中定义),并且libnppicc.so.10
李>极有可能
my_python_bindings_lib
应该依赖于libnppicc
(因为它使用此处定义的符号),添加该依赖关系将解决import
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