Comments (54)
ytc19990517
commented on June 21, 2024
1
Yes, you can do that.
let me try
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ytc19990517
commented on June 21, 2024
1
Please run
cd /path/to/sherpa-onnx mkdir -p ../../_deps/onnxruntime-src/lib cp -v build/_deps/onnxruntime-src/lib/* ../../_deps/onnxruntime-src/lib # And run ./build/bin/sherpa-onnx-offline again
Segmentation fault (core dumped) again
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ytc19990517
commented on June 21, 2024
Several Cmake warnings appeared when I installed sherpa-onnx：
CMake Warning (dev) at /usr/local/cmake/share/cmake-3.29/Modules/FindPackageHandleStandardArgs.cmake:438 (message):
The package name passed to find_package_handle_standard_args (jack) does
not match the name of the calling package (Jack). This can lead to
problems in calling code that expects find_package result variables
(e.g., _FOUND) to follow a certain pattern.
Call Stack (most recent call first):
build/temp.linux-x86_64-cpython-38/_deps/portaudio-src/cmake_support/FindJack.cmake:34 (find_package_handle_standard_args)
build/temp.linux-x86_64-cpython-38/_deps/portaudio-src/CMakeLists.txt:277 (FIND_PACKAGE)
This warning is for project developers. Use -Wno-dev to suppress it.
CMake Warning (dev) at build/temp.linux-x86_64-cpython-38/_deps/pybind11-src/tools/FindPythonLibsNew.cmake:98 (find_package):
Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules
are removed. Run "cmake --help-policy CMP0148" for policy details. Use
the cmake_policy command to set the policy and suppress this warning.
Call Stack (most recent call first):
build/temp.linux-x86_64-cpython-38/_deps/pybind11-src/tools/pybind11Tools.cmake:50 (find_package)
build/temp.linux-x86_64-cpython-38/_deps/pybind11-src/tools/pybind11Common.cmake:180 (include)
build/temp.linux-x86_64-cpython-38/_deps/pybind11-src/CMakeLists.txt:208 (include)
This warning is for project developers. Use -Wno-dev to suppress it.
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csukuangfj
commented on June 21, 2024
Could you describe how you install sherpa-onnx?
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ytc19990517
commented on June 21, 2024
Could you describe how you install
sherpa-onnx?
git clone https://github.com/k2-fsa/sherpa-onnx
export SHERPA_ONNX_CMAKE_ARGS="-DSHERPA_ONNX_ENABLE_GPU=ON"
cd sherpa-onnx
python3 setup.py install
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ytc19990517
commented on June 21, 2024
ldd libonnxruntime_providers_cuda.so
linux-vdso.so.1 (0x00007ffd4a327000)
libcublasLt.so.11 => /usr/software/cuda-11.8.0/lib64/libcublasLt.so.11 (0x00007fdad2f10000)
libcublas.so.11 => /usr/software/cuda-11.8.0/lib64/libcublas.so.11 (0x00007fdacd2b2000)
libcudnn.so.8 => /usr/software/cuda-11.8.0/lib/libcudnn.so.8 (0x00007fdacd08c000)
libcurand.so.10 => /usr/software/cuda-11.8.0/lib64/libcurand.so.10 (0x00007fdac67b0000)
libcufft.so.10 => /usr/software/cuda-11.8.0/lib64/libcufft.so.10 (0x00007fdab58d5000)
libpthread.so.0 => /usr/lib64/libpthread.so.0 (0x00007fdab56b5000)
librt.so.1 => /usr/lib64/librt.so.1 (0x00007fdab54ad000)
libcudart.so.11.0 => /usr/software/cuda-11.8.0/lib64/libcudart.so.11.0 (0x00007fdab5206000)
libstdc++.so.6 => /usr/lib64/libstdc++.so.6 (0x00007fdab4e39000)
libm.so.6 => /usr/lib64/libm.so.6 (0x00007fdab4af9000)
libgcc_s.so.1 => /usr/lib64/libgcc_s.so.1 (0x00007fdab48e3000)
libc.so.6 => /usr/lib64/libc.so.6 (0x00007fdab4525000)
/lib64/ld-linux-x86-64.so.2 (0x00007fdb142a9000)
libdl.so.2 => /usr/lib64/libdl.so.2 (0x00007fdab4321000)
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csukuangfj
commented on June 21, 2024
Please locate where _sherpa_onnx*.so* is located in your python site package directory and run
readelf -d _sherpa_onnx*.so*
Please see also #392 (comment)
and post the output of the above command.
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ytc19990517
commented on June 21, 2024
请找到 python 站点包目录中的位置并运行
_sherpa_onnx*.so*readelf -d _sherpa_onnx*.so*Please see also #392 (comment) and post the output of the above command.
Dynamic section at offset 0xbd8d0 contains 43 entries:
标记 类型 名称/值
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-core.so]
0x0000000000000001 (NEEDED) 共享库：[libasound.so.2]
0x0000000000000001 (NEEDED) 共享库：[libkaldi-native-fbank-core.so]
0x0000000000000001 (NEEDED) 共享库：[libkaldi-decoder-core.so]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-kaldifst-core.so]
0x0000000000000001 (NEEDED) 共享库：[libssentencepiece_core.so]
0x0000000000000001 (NEEDED) 共享库：[libpthread.so.0]
0x0000000000000001 (NEEDED) 共享库：[../../../_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so]
0x0000000000000001 (NEEDED) 共享库：[libonnxruntime_providers_shared.so]
0x0000000000000001 (NEEDED) 共享库：[libpiper_phonemize.so.1]
0x0000000000000001 (NEEDED) 共享库：[libonnxruntime.so.1.17.1]
0x0000000000000001 (NEEDED) 共享库：[libespeak-ng.so]
0x0000000000000001 (NEEDED) 共享库：[libucd.so]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-fstfar.so]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-fst.so]
0x0000000000000001 (NEEDED) 共享库：[libstdc++.so.6]
0x0000000000000001 (NEEDED) 共享库：[libm.so.6]
0x0000000000000001 (NEEDED) 共享库：[libgcc_s.so.1]
0x0000000000000001 (NEEDED) 共享库：[libc.so.6]
0x000000000000000f (RPATH) Library rpath: [$ORIGIN:/home/ytc/ytcProject/sherpa-onnx/build/temp.linux-x86_64-cpython-38/_deps/onnxruntime-src/lib:/home/ytc/ytcProject/sherpa-onnx/build/temp.linux-x86_64-cpython-38/lib::$ORIGIN/sherpa_onnx/lib]
0x000000000000000c (INIT) 0xe5b8
0x000000000000000d (FINI) 0x978d0
0x0000000000000019 (INIT_ARRAY) 0x2bafe8
0x000000000000001b (INIT_ARRAYSZ) 16 (bytes)
0x000000000000001a (FINI_ARRAY) 0x2baff8
0x000000000000001c (FINI_ARRAYSZ) 8 (bytes)
0x0000000000000004 (HASH) 0x190
0x0000000000000005 (STRTAB) 0x3300
0x0000000000000006 (SYMTAB) 0xc30
0x000000000000000a (STRSZ) 16880 (bytes)
0x000000000000000b (SYMENT) 24 (bytes)
0x0000000000000003 (PLTGOT) 0x2be000
0x0000000000000002 (PLTRELSZ) 5664 (bytes)
0x0000000000000014 (PLTREL) RELA
0x0000000000000017 (JMPREL) 0xcf98
0x0000000000000007 (RELA) 0x79d0
0x0000000000000008 (RELASZ) 21960 (bytes)
0x0000000000000009 (RELAENT) 24 (bytes)
0x000000006ffffffe (VERNEED) 0x7830
0x000000006fffffff (VERNEEDNUM) 6
0x000000006ffffff0 (VERSYM) 0x74f0
0x000000006ffffff9 (RELACOUNT) 677
0x0000000000000000 (NULL) 0x0
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csukuangfj
commented on June 21, 2024
Could you post the absolute path of this file?
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ytc19990517
commented on June 21, 2024
[ytc@localhost lib]$ sudo find / -name _sherpa_onnx*.so*
/home/ytc/anaconda3/envs/kaldi/lib/python3.8/site-packages/sherpa_onnx-1.9.30-py3.8-linux-x86_64.egg/_sherpa_onnx.cpython-38-x86_64-linux-gnu.so
/home/ytc/ytcProject/sherpa-onnx/build/lib.linux-x86_64-cpython-38/_sherpa_onnx.cpython-38-x86_64-linux-gnu.so
/home/ytc/ytcProject/sherpa-onnx/build/temp.linux-x86_64-cpython-38/lib/_sherpa_onnx.cpython-38-x86_64-linux-gnu.so
$ sudo find / -name libonnxruntime_providers_cuda.so
/home/ytc/anaconda3/envs/kaldi/lib/python3.8/site-packages/sherpa_onnx-1.9.30-py3.8-linux-x86_64.egg/sherpa_onnx/lib/libonnxruntime_providers_cuda.so
/home/ytc/ytcProject/sherpa-onnx/build/lib.linux-x86_64-cpython-38/sherpa_onnx/lib/libonnxruntime_providers_cuda.so
/home/ytc/ytcProject/sherpa-onnx/build/temp.linux-x86_64-cpython-38/_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so
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ytc19990517
commented on June 21, 2024
Could you post the absolute path of this file?
The shared library paths displayed by executing the "readelf -d _sherpa_onnx*.so*" command for these three paths are all [../../../_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so], but in fact only one meets this path
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csukuangfj
commented on June 21, 2024
- Please install https://github.com/NixOS/patchelf
On Ubuntu, you can use
sudo apt-get install patchelf
- Run
patchelf --replace-needed ../../../_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so libonnxruntime_providers_cuda.so /home/ytc/anaconda3/envs/kaldi/lib/python3.8/site-packages/sherpa_onnx-1.9.30-py3.8-linux-x86_64.egg/_sherpa_onnx.cpython-38-x86_64-linux-gnu.so
- Run
readelf -d /home/ytc/anaconda3/envs/kaldi/lib/python3.8/site-packages/sherpa_onnx-1.9.30-py3.8-linux-x86_64.egg/_sherpa_onnx.cpython-38-x86_64-linux-gnu.so
and post again the output
- Run
python3 -c 'import sherpa_onnx; print(sherpa_onnx.__file__)'
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ytc19990517
commented on June 21, 2024
Reference in new
Dynamic section at offset 0xbd8d0 contains 43 entries:
标记 类型 名称/值
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-core.so]
0x0000000000000001 (NEEDED) 共享库：[libasound.so.2]
0x0000000000000001 (NEEDED) 共享库：[libkaldi-native-fbank-core.so]
0x0000000000000001 (NEEDED) 共享库：[libkaldi-decoder-core.so]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-kaldifst-core.so]
0x0000000000000001 (NEEDED) 共享库：[libssentencepiece_core.so]
0x0000000000000001 (NEEDED) 共享库：[libpthread.so.0]
0x0000000000000001 (NEEDED) 共享库：[libonnxruntime_providers_cuda.so]
0x0000000000000001 (NEEDED) 共享库：[libonnxruntime_providers_shared.so]
0x0000000000000001 (NEEDED) 共享库：[libpiper_phonemize.so.1]
0x0000000000000001 (NEEDED) 共享库：[libonnxruntime.so.1.17.1]
0x0000000000000001 (NEEDED) 共享库：[libespeak-ng.so]
0x0000000000000001 (NEEDED) 共享库：[libucd.so]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-fstfar.so]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-fst.so]
0x0000000000000001 (NEEDED) 共享库：[libstdc++.so.6]
0x0000000000000001 (NEEDED) 共享库：[libm.so.6]
0x0000000000000001 (NEEDED) 共享库：[libgcc_s.so.1]
0x0000000000000001 (NEEDED) 共享库：[libc.so.6]
0x000000000000000f (RPATH) Library rpath: [$ORIGIN:$ORIGIN/sherpa_onnx/lib]
0x000000000000000c (INIT) 0xe5b8
0x000000000000000d (FINI) 0x978d0
0x0000000000000019 (INIT_ARRAY) 0x2bafe8
0x000000000000001b (INIT_ARRAYSZ) 16 (bytes)
0x000000000000001a (FINI_ARRAY) 0x2baff8
0x000000000000001c (FINI_ARRAYSZ) 8 (bytes)
0x0000000000000004 (HASH) 0x2bf000
0x0000000000000005 (STRTAB) 0x2bfaa0
0x0000000000000006 (SYMTAB) 0xc30
0x000000000000000a (STRSZ) 16913 (bytes)
0x000000000000000b (SYMENT) 24 (bytes)
0x0000000000000003 (PLTGOT) 0x2be000
0x0000000000000002 (PLTRELSZ) 5664 (bytes)
0x0000000000000014 (PLTREL) RELA
0x0000000000000017 (JMPREL) 0xcf98
0x0000000000000007 (RELA) 0x79d0
0x0000000000000008 (RELASZ) 21960 (bytes)
0x0000000000000009 (RELAENT) 24 (bytes)
0x000000006ffffffe (VERNEED) 0x7830
0x000000006fffffff (VERNEEDNUM) 6
0x000000006ffffff0 (VERSYM) 0x74f0
0x000000006ffffff9 (RELACOUNT) 677
0x0000000000000000 (NULL) 0x0
(kaldi) [ytc@localhost lib.linux-x86_64-cpython-38]$ python3 -c 'import sherpa_onnx; print(sherpa_onnx.file)'
Traceback (most recent call last):
File "", line 1, in
File "/home/ytc/ytcProject/sherpa-onnx/build/lib.linux-x86_64-cpython-38/sherpa_onnx/init.py", line 1, in
from _sherpa_onnx import (
ImportError: ../../_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so: cannot open shared object file: No such file or directory
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csukuangfj
commented on June 21, 2024
(kaldi) [ytc@localhost lib.linux-x86_64-cpython-38]$ python3 -c 'import sherpa_onnx; print(sherpa_onnx.file)'
please switch to a new directory. Don't run it inside lib.linux-x86_64-cpython-38
You can use
cd /tmp
python3 -c 'import sherpa_onnx; print(sherpa_onnx.__file__)'
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ytc19990517
commented on June 21, 2024
(kaldi) [ytc@localhost lib.linux-x86_64-cpython-38]$ python3 -c 'import sherpa_onnx; print(sherpa_onnx.file)'please switch to a new directory. Don't run it inside
lib.linux-x86_64-cpython-38You can use
cd /tmp python3 -c 'import sherpa_onnx; print(sherpa_onnx.__file__)'
Still the same error
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ytc19990517
commented on June 21, 2024
I just executed “patchelf --replace-needed ../../../_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so libonnxruntime_providers_cuda.so /home/ytc/anaconda3/envs/kaldi/lib/python3.8/site-packages/sherpa_onnx-1.9.30-py3.8-linux-x86_64.egg/_sherpa_onnx.cpython-38-x86_64-linux-gnu.so” at first, but it still reported an error, so I changed the paths of the other two shared libraries.
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csukuangfj
commented on June 21, 2024
Note the first time, you posted the following error:
ImportError: ../../../_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so: cannot open shared object file: No such file or directory
The second time you posted the following after running patchelf:
ImportError: ../../_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so: cannot open shared object file: No such file or directory
You can see that the two errors are different.
Please find where libsherpa-onnx-core.so is located in side your python site packages directory and run readelf -d on it and see if there is ../../_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so in it. If yes, please run patchelf on it.
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ytc19990517
commented on June 21, 2024
Note the first time, you posted the following error:
ImportError: ../../../_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so: cannot open shared object file: No such file or directoryThe second time you posted the following after running
patchelf:ImportError: ../../_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so: cannot open shared object file: No such file or directoryYou can see that the two errors are different.
Please find where
libsherpa-onnx-core.sois located in side your python site packages directory and runreadelf -don it and see if there is../../_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.soin it. If yes, please runpatchelfon it.
I did it, but now I get a segmentation fault (core dumped)
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ytc19990517
commented on June 21, 2024
As long as I execute import shrpa_onnx, segmentation fault (core dumped) will be reported
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csukuangfj
commented on June 21, 2024
Could you describe what you have done?
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csukuangfj
commented on June 21, 2024
and I run patchelf on these
Could you post the exact command you have run with patchelf?
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ytc19990517
commented on June 21, 2024
Could you describe what you have done?
I just executed “sudo find / -name libsherpa-onnx-core.so” like this:
$ sudo find / -name libsherpa-onnx-core.so
/home/ytc/anaconda3/envs/kaldi/lib/python3.8/site-packages/sherpa_onnx-1.9.30-py3.8-linux-x86_64.egg/sherpa_onnx/lib/libsherpa-onnx-core.so
/home/ytc/ytcProject/sherpa-onnx/build/lib.linux-x86_64-cpython-38/sherpa_onnx/lib/libsherpa-onnx-core.so
/home/ytc/ytcProject/sherpa-onnx/build/temp.linux-x86_64-cpython-38/lib/libsherpa-onnx-core.so
then I run readelf -d on these path, all of these are ../../_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so, and I run patchelf on these
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csukuangfj
commented on June 21, 2024
and I run patchelf on these
Could you post the output of readelf -d xxx.so on those .so files and post the command about how you run patchelf on those .so files?
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ytc19990517
commented on June 21, 2024
and I run patchelf on these
Could you post the output of
readelf -d xxx.soon those.sofiles and post the command about how you runpatchelfon those .so files?
(kaldi) [ytc@localhost ~]$ sudo find / -name libsherpa-onnx-core.so
[sudo] ytc 的密码：
/home/ytc/anaconda3/envs/kaldi/lib/python3.8/site-packages/sherpa_onnx-1.9.30-py3.8-linux-x86_64.egg/sherpa_onnx/lib/libsherpa-onnx-core.so
/home/ytc/ytcProject/sherpa-onnx/build/lib.linux-x86_64-cpython-38/sherpa_onnx/lib/libsherpa-onnx-core.so
/home/ytc/ytcProject/sherpa-onnx/build/temp.linux-x86_64-cpython-38/lib/libsherpa-onnx-core.so
(kaldi) [ytc@localhost ~]$ readelf -d /home/ytc/anaconda3/envs/kaldi/lib/python3.8/site-packages/sherpa_onnx-1.9.30-py3.8-linux-x86_64.egg/sherpa_onnx/lib/libsherpa-onnx-core.so
Dynamic section at offset 0x211488 contains 43 entries:
标记 类型 名称/值
0x0000000000000001 (NEEDED) 共享库：[libkaldi-native-fbank-core.so]
0x0000000000000001 (NEEDED) 共享库：[libkaldi-decoder-core.so]
0x0000000000000001 (NEEDED) 共享库：[libssentencepiece_core.so]
0x0000000000000001 (NEEDED) 共享库：[../../_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so]
0x0000000000000001 (NEEDED) 共享库：[libonnxruntime_providers_shared.so]
0x0000000000000001 (NEEDED) 共享库：[libpiper_phonemize.so.1]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-fstfar.so]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-kaldifst-core.so]
0x0000000000000001 (NEEDED) 共享库：[libpthread.so.0]
0x0000000000000001 (NEEDED) 共享库：[libonnxruntime.so.1.17.1]
0x0000000000000001 (NEEDED) 共享库：[libespeak-ng.so]
0x0000000000000001 (NEEDED) 共享库：[libucd.so]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-fst.so]
0x0000000000000001 (NEEDED) 共享库：[libstdc++.so.6]
0x0000000000000001 (NEEDED) 共享库：[libm.so.6]
0x0000000000000001 (NEEDED) 共享库：[libgcc_s.so.1]
0x0000000000000001 (NEEDED) 共享库：[libc.so.6]
0x0000000000000001 (NEEDED) 共享库：[ld-linux-x86-64.so.2]
0x000000000000000e (SONAME) Library soname: [libsherpa-onnx-core.so]
0x000000000000000f (RPATH) Library rpath: [$ORIGIN]
0x000000000000000c (INIT) 0x5ad98
0x000000000000000d (FINI) 0x1cad0c
0x0000000000000019 (INIT_ARRAY) 0x40e4d0
0x000000000000001b (INIT_ARRAYSZ) 616 (bytes)
0x000000000000001a (FINI_ARRAY) 0x40e738
0x000000000000001c (FINI_ARRAYSZ) 8 (bytes)
0x0000000000000004 (HASH) 0x190
0x0000000000000005 (STRTAB) 0x145b8
0x0000000000000006 (SYMTAB) 0x4b68
0x000000000000000a (STRSZ) 212158 (bytes)
0x000000000000000b (SYMENT) 24 (bytes)
0x0000000000000003 (PLTGOT) 0x412000
0x0000000000000002 (PLTRELSZ) 27696 (bytes)
0x0000000000000014 (PLTREL) RELA
0x0000000000000017 (JMPREL) 0x54168
0x0000000000000007 (RELA) 0x49938
0x0000000000000008 (RELASZ) 43056 (bytes)
0x0000000000000009 (RELAENT) 24 (bytes)
0x000000006ffffffe (VERNEED) 0x49758
0x000000006fffffff (VERNEEDNUM) 7
0x000000006ffffff0 (VERSYM) 0x48276
0x000000006ffffff9 (RELACOUNT) 227
0x0000000000000000 (NULL) 0x0
(kaldi) [ytc@localhost ~]$ patchelf --replace-needed ../../_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so libonnxruntime_providers_cuda.so /home/ytc/anaconda3/envs/kaldi/lib/python3.8/site-packages/sherpa_onnx-1.9.30-py3.8-linux-x86_64.egg/sherpa_onnx/lib/libsherpa-onnx-core.so
(kaldi) [ytc@localhost ~]$ readelf -d /home/ytc/anaconda3/envs/kaldi/lib/python3.8/site-packages/sherpa_onnx-1.9.30-py3.8-linux-x86_64.egg/sherpa_onnx/lib/libsherpa-onnx-core.so
Dynamic section at offset 0x211488 contains 43 entries:
标记 类型 名称/值
0x0000000000000001 (NEEDED) 共享库：[libkaldi-native-fbank-core.so]
0x0000000000000001 (NEEDED) 共享库：[libkaldi-decoder-core.so]
0x0000000000000001 (NEEDED) 共享库：[libssentencepiece_core.so]
0x0000000000000001 (NEEDED) 共享库：[libonnxruntime_providers_cuda.so]
0x0000000000000001 (NEEDED) 共享库：[libonnxruntime_providers_shared.so]
0x0000000000000001 (NEEDED) 共享库：[libpiper_phonemize.so.1]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-fstfar.so]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-kaldifst-core.so]
0x0000000000000001 (NEEDED) 共享库：[libpthread.so.0]
0x0000000000000001 (NEEDED) 共享库：[libonnxruntime.so.1.17.1]
0x0000000000000001 (NEEDED) 共享库：[libespeak-ng.so]
0x0000000000000001 (NEEDED) 共享库：[libucd.so]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-fst.so]
0x0000000000000001 (NEEDED) 共享库：[libstdc++.so.6]
0x0000000000000001 (NEEDED) 共享库：[libm.so.6]
0x0000000000000001 (NEEDED) 共享库：[libgcc_s.so.1]
0x0000000000000001 (NEEDED) 共享库：[libc.so.6]
0x0000000000000001 (NEEDED) 共享库：[ld-linux-x86-64.so.2]
0x000000000000000e (SONAME) Library soname: [libsherpa-onnx-core.so]
0x000000000000000f (RPATH) Library rpath: [$ORIGIN]
0x000000000000000c (INIT) 0x5ad98
0x000000000000000d (FINI) 0x1cad0c
0x0000000000000019 (INIT_ARRAY) 0x40e4d0
0x000000000000001b (INIT_ARRAYSZ) 616 (bytes)
0x000000000000001a (FINI_ARRAY) 0x40e738
0x000000000000001c (FINI_ARRAYSZ) 8 (bytes)
0x0000000000000004 (HASH) 0x415000
0x0000000000000005 (STRTAB) 0x4199d8
0x0000000000000006 (SYMTAB) 0x4b68
0x000000000000000a (STRSZ) 212191 (bytes)
0x000000000000000b (SYMENT) 24 (bytes)
0x0000000000000003 (PLTGOT) 0x412000
0x0000000000000002 (PLTRELSZ) 27696 (bytes)
0x0000000000000014 (PLTREL) RELA
0x0000000000000017 (JMPREL) 0x54168
0x0000000000000007 (RELA) 0x49938
0x0000000000000008 (RELASZ) 43056 (bytes)
0x0000000000000009 (RELAENT) 24 (bytes)
0x000000006ffffffe (VERNEED) 0x49758
0x000000006fffffff (VERNEEDNUM) 7
0x000000006ffffff0 (VERSYM) 0x48276
0x000000006ffffff9 (RELACOUNT) 227
0x0000000000000000 (NULL) 0x0
(kaldi) [ytc@localhost ~]$ readelf -d /home/ytc/ytcProject/sherpa-onnx/build/lib.linux-x86_64-cpython-38/sherpa_onnx/lib/libsherpa-onnx-core.so
Dynamic section at offset 0x211488 contains 43 entries:
标记 类型 名称/值
0x0000000000000001 (NEEDED) 共享库：[libkaldi-native-fbank-core.so]
0x0000000000000001 (NEEDED) 共享库：[libkaldi-decoder-core.so]
0x0000000000000001 (NEEDED) 共享库：[libssentencepiece_core.so]
0x0000000000000001 (NEEDED) 共享库：[../../_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so]
0x0000000000000001 (NEEDED) 共享库：[libonnxruntime_providers_shared.so]
0x0000000000000001 (NEEDED) 共享库：[libpiper_phonemize.so.1]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-fstfar.so]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-kaldifst-core.so]
0x0000000000000001 (NEEDED) 共享库：[libpthread.so.0]
0x0000000000000001 (NEEDED) 共享库：[libonnxruntime.so.1.17.1]
0x0000000000000001 (NEEDED) 共享库：[libespeak-ng.so]
0x0000000000000001 (NEEDED) 共享库：[libucd.so]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-fst.so]
0x0000000000000001 (NEEDED) 共享库：[libstdc++.so.6]
0x0000000000000001 (NEEDED) 共享库：[libm.so.6]
0x0000000000000001 (NEEDED) 共享库：[libgcc_s.so.1]
0x0000000000000001 (NEEDED) 共享库：[libc.so.6]
0x0000000000000001 (NEEDED) 共享库：[ld-linux-x86-64.so.2]
0x000000000000000e (SONAME) Library soname: [libsherpa-onnx-core.so]
0x000000000000000f (RPATH) Library rpath: [$ORIGIN]
0x000000000000000c (INIT) 0x5ad98
0x000000000000000d (FINI) 0x1cad0c
0x0000000000000019 (INIT_ARRAY) 0x40e4d0
0x000000000000001b (INIT_ARRAYSZ) 616 (bytes)
0x000000000000001a (FINI_ARRAY) 0x40e738
0x000000000000001c (FINI_ARRAYSZ) 8 (bytes)
0x0000000000000004 (HASH) 0x190
0x0000000000000005 (STRTAB) 0x145b8
0x0000000000000006 (SYMTAB) 0x4b68
0x000000000000000a (STRSZ) 212158 (bytes)
0x000000000000000b (SYMENT) 24 (bytes)
0x0000000000000003 (PLTGOT) 0x412000
0x0000000000000002 (PLTRELSZ) 27696 (bytes)
0x0000000000000014 (PLTREL) RELA
0x0000000000000017 (JMPREL) 0x54168
0x0000000000000007 (RELA) 0x49938
0x0000000000000008 (RELASZ) 43056 (bytes)
0x0000000000000009 (RELAENT) 24 (bytes)
0x000000006ffffffe (VERNEED) 0x49758
0x000000006fffffff (VERNEEDNUM) 7
0x000000006ffffff0 (VERSYM) 0x48276
0x000000006ffffff9 (RELACOUNT) 227
0x0000000000000000 (NULL) 0x0
(kaldi) [ytc@localhost ~]$ patchelf --replace-needed ../../_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so libonnxruntime_providers_cuda.so /home/ytc/ytcProject/sherpa-onnx/build/lib.linux-x86_64-cpython-38/sherpa_onnx/lib/libsherpa-onnx-core.so
(kaldi) [ytc@localhost ~]$ readelf -d /home/ytc/ytcProject/sherpa-onnx/build/lib.linux-x86_64-cpython-38/sherpa_onnx/lib/libsherpa-onnx-core.so
Dynamic section at offset 0x211488 contains 43 entries:
标记 类型 名称/值
0x0000000000000001 (NEEDED) 共享库：[libkaldi-native-fbank-core.so]
0x0000000000000001 (NEEDED) 共享库：[libkaldi-decoder-core.so]
0x0000000000000001 (NEEDED) 共享库：[libssentencepiece_core.so]
0x0000000000000001 (NEEDED) 共享库：[libonnxruntime_providers_cuda.so]
0x0000000000000001 (NEEDED) 共享库：[libonnxruntime_providers_shared.so]
0x0000000000000001 (NEEDED) 共享库：[libpiper_phonemize.so.1]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-fstfar.so]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-kaldifst-core.so]
0x0000000000000001 (NEEDED) 共享库：[libpthread.so.0]
0x0000000000000001 (NEEDED) 共享库：[libonnxruntime.so.1.17.1]
0x0000000000000001 (NEEDED) 共享库：[libespeak-ng.so]
0x0000000000000001 (NEEDED) 共享库：[libucd.so]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-fst.so]
0x0000000000000001 (NEEDED) 共享库：[libstdc++.so.6]
0x0000000000000001 (NEEDED) 共享库：[libm.so.6]
0x0000000000000001 (NEEDED) 共享库：[libgcc_s.so.1]
0x0000000000000001 (NEEDED) 共享库：[libc.so.6]
0x0000000000000001 (NEEDED) 共享库：[ld-linux-x86-64.so.2]
0x000000000000000e (SONAME) Library soname: [libsherpa-onnx-core.so]
0x000000000000000f (RPATH) Library rpath: [$ORIGIN]
0x000000000000000c (INIT) 0x5ad98
0x000000000000000d (FINI) 0x1cad0c
0x0000000000000019 (INIT_ARRAY) 0x40e4d0
0x000000000000001b (INIT_ARRAYSZ) 616 (bytes)
0x000000000000001a (FINI_ARRAY) 0x40e738
0x000000000000001c (FINI_ARRAYSZ) 8 (bytes)
0x0000000000000004 (HASH) 0x415000
0x0000000000000005 (STRTAB) 0x4199d8
0x0000000000000006 (SYMTAB) 0x4b68
0x000000000000000a (STRSZ) 212191 (bytes)
0x000000000000000b (SYMENT) 24 (bytes)
0x0000000000000003 (PLTGOT) 0x412000
0x0000000000000002 (PLTRELSZ) 27696 (bytes)
0x0000000000000014 (PLTREL) RELA
0x0000000000000017 (JMPREL) 0x54168
0x0000000000000007 (RELA) 0x49938
0x0000000000000008 (RELASZ) 43056 (bytes)
0x0000000000000009 (RELAENT) 24 (bytes)
0x000000006ffffffe (VERNEED) 0x49758
0x000000006fffffff (VERNEEDNUM) 7
0x000000006ffffff0 (VERSYM) 0x48276
0x000000006ffffff9 (RELACOUNT) 227
0x0000000000000000 (NULL) 0x0
(kaldi) [ytc@localhost ~]$ sudo find / -name libsherpa-onnx-core.so
/home/ytc/anaconda3/envs/kaldi/lib/python3.8/site-packages/sherpa_onnx-1.9.30-py3.8-linux-x86_64.egg/sherpa_onnx/lib/libsherpa-onnx-core.so
/home/ytc/ytcProject/sherpa-onnx/build/lib.linux-x86_64-cpython-38/sherpa_onnx/lib/libsherpa-onnx-core.so
/home/ytc/ytcProject/sherpa-onnx/build/temp.linux-x86_64-cpython-38/lib/libsherpa-onnx-core.so
(kaldi) [ytc@localhost ~]$ readelf -d /home/ytc/ytcProject/sherpa-onnx/build/temp.linux-x86_64-cpython-38/lib/libsherpa-onnx-core.so
Dynamic section at offset 0x211488 contains 43 entries:
标记 类型 名称/值
0x0000000000000001 (NEEDED) 共享库：[libkaldi-native-fbank-core.so]
0x0000000000000001 (NEEDED) 共享库：[libkaldi-decoder-core.so]
0x0000000000000001 (NEEDED) 共享库：[libssentencepiece_core.so]
0x0000000000000001 (NEEDED) 共享库：[../../_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so]
0x0000000000000001 (NEEDED) 共享库：[libonnxruntime_providers_shared.so]
0x0000000000000001 (NEEDED) 共享库：[libpiper_phonemize.so.1]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-fstfar.so]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-kaldifst-core.so]
0x0000000000000001 (NEEDED) 共享库：[libpthread.so.0]
0x0000000000000001 (NEEDED) 共享库：[libonnxruntime.so.1.17.1]
0x0000000000000001 (NEEDED) 共享库：[libespeak-ng.so]
0x0000000000000001 (NEEDED) 共享库：[libucd.so]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-fst.so]
0x0000000000000001 (NEEDED) 共享库：[libstdc++.so.6]
0x0000000000000001 (NEEDED) 共享库：[libm.so.6]
0x0000000000000001 (NEEDED) 共享库：[libgcc_s.so.1]
0x0000000000000001 (NEEDED) 共享库：[libc.so.6]
0x0000000000000001 (NEEDED) 共享库：[ld-linux-x86-64.so.2]
0x000000000000000e (SONAME) Library soname: [libsherpa-onnx-core.so]
0x000000000000000f (RPATH) Library rpath: [$ORIGIN:/home/ytc/ytcProject/sherpa-onnx/build/temp.linux-x86_64-cpython-38/_deps/onnxruntime-src/lib:/home/ytc/ytcProject/sherpa-onnx/build/temp.linux-x86_64-cpython-38/lib:]
0x000000000000000c (INIT) 0x5ad98
0x000000000000000d (FINI) 0x1cad0c
0x0000000000000019 (INIT_ARRAY) 0x40e4d0
0x000000000000001b (INIT_ARRAYSZ) 616 (bytes)
0x000000000000001a (FINI_ARRAY) 0x40e738
0x000000000000001c (FINI_ARRAYSZ) 8 (bytes)
0x0000000000000004 (HASH) 0x190
0x0000000000000005 (STRTAB) 0x145b8
0x0000000000000006 (SYMTAB) 0x4b68
0x000000000000000a (STRSZ) 212158 (bytes)
0x000000000000000b (SYMENT) 24 (bytes)
0x0000000000000003 (PLTGOT) 0x412000
0x0000000000000002 (PLTRELSZ) 27696 (bytes)
0x0000000000000014 (PLTREL) RELA
0x0000000000000017 (JMPREL) 0x54168
0x0000000000000007 (RELA) 0x49938
0x0000000000000008 (RELASZ) 43056 (bytes)
0x0000000000000009 (RELAENT) 24 (bytes)
0x000000006ffffffe (VERNEED) 0x49758
0x000000006fffffff (VERNEEDNUM) 7
0x000000006ffffff0 (VERSYM) 0x48276
0x000000006ffffff9 (RELACOUNT) 227
0x0000000000000000 (NULL) 0x0
(kaldi) [ytc@localhost ~]$
(kaldi) [ytc@localhost ~]$ patchelf --replace-needed ../../_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so libonnxruntime_providers_cuda.so /home/ytc/ytcProject/sherpa-onnx/build/temp.linux-x86_64-cpython-38/lib/libsherpa-onnx-core.so
from sherpa-onnx.
csukuangfj
commented on June 21, 2024
Could you run
cd /tmp
gdb --args python3 -c "import sherpa_onnx; print(sherpa_onnx.__file__)"
It will print
(gdb)
Then run
(gdb) catch throw
(gdb) run
from sherpa-onnx.
ytc19990517
commented on June 21, 2024
Could you run
cd /tmp gdb --args python3 -c "import sherpa_onnx; print(sherpa_onnx.__file__)"It will print
(gdb)Then run
(gdb) catch throw (gdb) run
(kaldi) [ytc@localhost tmp]$ gdb --args python3 -c "import sherpa_onnx; print(sherpa_onnx.file)"
GNU gdb (GDB) Red Hat Enterprise Linux 7.6.1-120.el7
Copyright (C) 2013 Free Software Foundation, Inc.
License GPLv3+: GNU GPL version 3 or later http://gnu.org/licenses/gpl.html
This is free software: you are free to change and redistribute it.
There is NO WARRANTY, to the extent permitted by law. Type "show copying"
and "show warranty" for details.
This GDB was configured as "x86_64-redhat-linux-gnu".
For bug reporting instructions, please see:
http://www.gnu.org/software/gdb/bugs/...
Reading symbols from /home/ytc/anaconda3/envs/kaldi/bin/python3.8...Dwarf Error: wrong version in compilation unit header (is 5, should be 2, 3, or 4) [in module /home/ytc/anaconda3/envs/kaldi/bin/python3.8]
(no debugging symbols found)...done.
(gdb) (gdb) catch throw
Undefined command: "". Try "help".
(gdb) (gdb) run
Undefined command: "". Try "help".
(gdb) catch throw
Function "__cxa_throw" not defined.
Catchpoint 1 (throw)
(gdb) run
Starting program: /home/ytc/anaconda3/envs/kaldi/bin/python3 -c import\ sherpa_onnx;\ print(sherpa_onnx.file)
[Thread debugging using libthread_db enabled]
Using host libthread_db library "/usr/lib64/libthread_db.so.1".
Dwarf Error: wrong version in compilation unit header (is 5, should be 2, 3, or 4) [in module /home/ytc/anaconda3/envs/kaldi/bin/../lib/libstdc++.so.6]
Dwarf Error: wrong version in compilation unit header (is 5, should be 2, 3, or 4) [in module /home/ytc/anaconda3/envs/kaldi/bin/../lib/libgcc_s.so.1]
Missing separate debuginfo for /usr/lib64/libcuda.so.1
Try: yum --enablerepo='debug' install /usr/lib/debug/.build-id/77/77c24e9e147d8179b0573d35dfda635e80c549.debug
Program received signal SIGSEGV, Segmentation fault.
0x00007fffc33037c6 in ?? ()
from /home/ytc/anaconda3/envs/kaldi/lib/python3.8/site-packages/sherpa_onnx-1.9.30-py3.8-linux-x86_64.egg/sherpa_onnx/lib/libonnxruntime_providers_cuda.so
Missing separate debuginfos, use: debuginfo-install alsa-lib-1.1.8-1.el7.x86_64
(gdb)
from sherpa-onnx.
csukuangfj
commented on June 21, 2024
Please retry.
You don't need to use
(gdb) (gdb) catch throw
from sherpa-onnx.
ytc19990517
commented on June 21, 2024
Please retry.
You don't need to use
(gdb) (gdb) catch throw
(gdb) catch throw
Function "__cxa_throw" not defined.
Catchpoint 1 (throw)
(gdb) run
Starting program: /home/ytc/anaconda3/envs/kaldi/bin/python3 -c import\ sherpa_onnx;\ print(sherpa_onnx.file)
[Thread debugging using libthread_db enabled]
Using host libthread_db library "/usr/lib64/libthread_db.so.1".
Dwarf Error: wrong version in compilation unit header (is 5, should be 2, 3, or 4) [in module /home/ytc/anaconda3/envs/kaldi/bin/../lib/libstdc++.so.6]
Dwarf Error: wrong version in compilation unit header (is 5, should be 2, 3, or 4) [in module /home/ytc/anaconda3/envs/kaldi/bin/../lib/libgcc_s.so.1]
Missing separate debuginfo for /usr/lib64/libcuda.so.1
Try: yum --enablerepo='debug' install /usr/lib/debug/.build-id/77/77c24e9e147d8179b0573d35dfda635e80c549.debug
Program received signal SIGSEGV, Segmentation fault.
0x00007fffc33037c6 in ?? ()
from /home/ytc/anaconda3/envs/kaldi/lib/python3.8/site-packages/sherpa_onnx-1.9.30-py3.8-linux-x86_64.egg/sherpa_onnx/lib/libonnxruntime_providers_cuda.so
Missing separate debuginfos, use: debuginfo-install alsa-lib-1.1.8-1.el7.x86_64
from sherpa-onnx.
csukuangfj
commented on June 21, 2024
Could you run
patchelf --remove-needed libonnxruntime_providers_cuda.so xxx.so
where xxx.so is the above mentioned .so files.
from sherpa-onnx.
ytc19990517
commented on June 21, 2024
Could you run
patchelf --remove-needed libonnxruntime_providers_cuda.so xxx.sowhere
xxx.sois the above mentioned .so files.
(kaldi) [ytc@localhost tmp]$ patchelf --remove-needed libonnxruntime_providers_cuda.so /home/ytc/anaconda3/envs/kaldi/lib/python3.8/site-packages/sherpa_onnx-1.9.30-py3.8-linux-x86_64.egg/sherpa_onnx/lib/libsherpa-onnx-core.so
(kaldi) [ytc@localhost tmp]$ patchelf --remove-needed libonnxruntime_providers_cuda.so /home/ytc/ytcProject/sherpa-onnx/build/lib.linux-x86_64-cpython-38/sherpa_onnx/lib/libsherpa-onnx-core.so
(kaldi) [ytc@localhost tmp]$ patchelf --remove-needed libonnxruntime_providers_cuda.so /home/ytc/ytcProject/sherpa-onnx/build/temp.linux-x86_64-cpython-38/lib/libsherpa-onnx-core.so
(kaldi) [ytc@localhost tmp]$ python3 -c "import sherpa_onnx; print(sherpa_onnx.file)"
segmentation fault (core dumped)
from sherpa-onnx.
ytc19990517
commented on June 21, 2024
(kaldi) [ytc@localhost tmp]$ readelf -d /home/ytc/anaconda3/envs/kaldi/lib/python3.8/site-packages/sherpa_onnx-1.9.30-py3.8-linux-x86_64.egg/sherpa_onnx/lib/libsherpa-onnx-core.so
Dynamic section at offset 0x211488 contains 42 entries:
标记 类型 名称/值
0x0000000000000001 (NEEDED) 共享库：[libkaldi-native-fbank-core.so]
0x0000000000000001 (NEEDED) 共享库：[libkaldi-decoder-core.so]
0x0000000000000001 (NEEDED) 共享库：[libssentencepiece_core.so]
0x0000000000000001 (NEEDED) 共享库：[libonnxruntime_providers_shared.so]
0x0000000000000001 (NEEDED) 共享库：[libpiper_phonemize.so.1]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-fstfar.so]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-kaldifst-core.so]
0x0000000000000001 (NEEDED) 共享库：[libpthread.so.0]
0x0000000000000001 (NEEDED) 共享库：[libonnxruntime.so.1.17.1]
0x0000000000000001 (NEEDED) 共享库：[libespeak-ng.so]
0x0000000000000001 (NEEDED) 共享库：[libucd.so]
0x0000000000000001 (NEEDED) 共享库：[libsherpa-onnx-fst.so]
0x0000000000000001 (NEEDED) 共享库：[libstdc++.so.6]
0x0000000000000001 (NEEDED) 共享库：[libm.so.6]
0x0000000000000001 (NEEDED) 共享库：[libgcc_s.so.1]
0x0000000000000001 (NEEDED) 共享库：[libc.so.6]
0x0000000000000001 (NEEDED) 共享库：[ld-linux-x86-64.so.2]
0x000000000000000e (SONAME) Library soname: [libsherpa-onnx-core.so]
0x000000000000000f (RPATH) Library rpath: [$ORIGIN]
0x000000000000000c (INIT) 0x5ad98
0x000000000000000d (FINI) 0x1cad0c
0x0000000000000019 (INIT_ARRAY) 0x40e4d0
0x000000000000001b (INIT_ARRAYSZ) 616 (bytes)
0x000000000000001a (FINI_ARRAY) 0x40e738
0x000000000000001c (FINI_ARRAYSZ) 8 (bytes)
0x0000000000000004 (HASH) 0x415000
0x0000000000000005 (STRTAB) 0x4199d8
0x0000000000000006 (SYMTAB) 0x4b68
0x000000000000000a (STRSZ) 212191 (bytes)
0x000000000000000b (SYMENT) 24 (bytes)
0x0000000000000003 (PLTGOT) 0x412000
0x0000000000000002 (PLTRELSZ) 27696 (bytes)
0x0000000000000014 (PLTREL) RELA
0x0000000000000017 (JMPREL) 0x54168
0x0000000000000007 (RELA) 0x49938
0x0000000000000008 (RELASZ) 43056 (bytes)
0x0000000000000009 (RELAENT) 24 (bytes)
0x000000006ffffffe (VERNEED) 0x49758
0x000000006fffffff (VERNEEDNUM) 7
0x000000006ffffff0 (VERSYM) 0x48276
0x000000006ffffff9 (RELACOUNT) 227
0x0000000000000000 (NULL) 0x0
There is no libonnxruntime_providers_cuda.so
from sherpa-onnx.
csukuangfj
commented on June 21, 2024
could you run with gdb?
from sherpa-onnx.
ytc19990517
commented on June 21, 2024
could you run with gdb?
(kaldi) [ytc@localhost tmp]$ gdb --args python3 -c "import sherpa_onnx; print(sherpa_onnx.file)"
GNU gdb (GDB) Red Hat Enterprise Linux 7.6.1-120.el7
Copyright (C) 2013 Free Software Foundation, Inc.
License GPLv3+: GNU GPL version 3 or later http://gnu.org/licenses/gpl.html
This is free software: you are free to change and redistribute it.
There is NO WARRANTY, to the extent permitted by law. Type "show copying"
and "show warranty" for details.
This GDB was configured as "x86_64-redhat-linux-gnu".
For bug reporting instructions, please see:
http://www.gnu.org/software/gdb/bugs/...
Reading symbols from /home/ytc/anaconda3/envs/kaldi/bin/python3.8...Dwarf Error: wrong version in compilation unit header (is 5, should be 2, 3, or 4) [in module /home/ytc/anaconda3/envs/kaldi/bin/python3.8]
(no debugging symbols found)...done.
(gdb) catch throw
Function "__cxa_throw" not defined.
Catchpoint 1 (throw)
(gdb) run
Starting program: /home/ytc/anaconda3/envs/kaldi/bin/python3 -c import\ sherpa_onnx;\ print(sherpa_onnx.file)
[Thread debugging using libthread_db enabled]
Using host libthread_db library "/usr/lib64/libthread_db.so.1".
Dwarf Error: wrong version in compilation unit header (is 5, should be 2, 3, or 4) [in module /home/ytc/anaconda3/envs/kaldi/bin/../lib/libstdc++.so.6]
Dwarf Error: wrong version in compilation unit header (is 5, should be 2, 3, or 4) [in module /home/ytc/anaconda3/envs/kaldi/bin/../lib/libgcc_s.so.1]
Missing separate debuginfo for /usr/lib64/libcuda.so.1
Try: yum --enablerepo='debug' install /usr/lib/debug/.build-id/77/77c24e9e147d8179b0573d35dfda635e80c549.debug
Program received signal SIGSEGV, Segmentation fault.
0x00007fffc33037c6 in ?? ()
from /home/ytc/anaconda3/envs/kaldi/lib/python3.8/site-packages/sherpa_onnx-1.9.30-py3.8-linux-x86_64.egg/sherpa_onnx/lib/libonnxruntime_providers_cuda.so
Missing separate debuginfos, use: debuginfo-install alsa-lib-1.1.8-1.el7.x86_64
from sherpa-onnx.
csukuangfj
commented on June 21, 2024
Are you able to run sherpa-onnx with cuda using the binaries, e.g., using build/bin/sherpa-onnx or build/bin/sherpa-onnx-offline?
(Remember to provide the argument --provider=cuda)
from sherpa-onnx.
ytc19990517
commented on June 21, 2024
Are you able to run sherpa-onnx with cuda using the binaries, e.g., using
build/bin/sherpa-onnxorbuild/bin/sherpa-onnx-offline? (Remember to provide the argument--provider=cuda)
I haven't tried it, how can I do?
from sherpa-onnx.
csukuangfj
commented on June 21, 2024
Please follow
https://k2-fsa.github.io/sherpa/onnx/install/linux.html
from sherpa-onnx.
ytc19990517
commented on June 21, 2024
Please follow https://k2-fsa.github.io/sherpa/onnx/install/linux.html
I just followed this, should I delete build and rebuild？
from sherpa-onnx.
csukuangfj
commented on June 21, 2024
Yes, you can do that.
from sherpa-onnx.
ytc19990517
commented on June 21, 2024
Yes, you can do that.
How can I install sherpa_onnx-GPU offline?
from sherpa-onnx.
csukuangfj
commented on June 21, 2024
After building, you will find an exectuable
./build/bin/sherpa-onnx-offline
Please follow
https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-transducer/zipformer-transducer-models.html#id9
to run it.
Remeber to pass --provider=cuda as a commandline argument for sherpa-onnx-offline
from sherpa-onnx.
ytc19990517
commented on June 21, 2024
After building, you will find an exectuable
./build/bin/sherpa-onnx-offlinePlease follow https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-transducer/zipformer-transducer-models.html#id9 to run it.
Remeber to pass
--provider=cudaas a commandline argument for sherpa-onnx-offline
I get this warning when I run make -j6：
/usr/bin/ld: warning: ../../_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so, needed by ../lib/libsherpa-onnx-c-api.so, not found (try using -rpath or -rpath-link)
/usr/bin/ld: warning: ../../_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so, needed by ../lib/libsherpa-onnx-c-api.so, not found (try using -rpath or -rpath-link)
/usr/bin/ld: warning: ../../_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so, needed by ../lib/libsherpa-onnx-c-api.so, not found (try using -rpath or -rpath-link)
from sherpa-onnx.
csukuangfj
commented on June 21, 2024
Could you post the complete logs of
cmake -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=ON -DSHERPA_ONNX_ENABLE_GPU=ON ..
(Please remove build/CMakeCache.txt before you run the above command to get logs)
from sherpa-onnx.
ytc19990517
commented on June 21, 2024
Could you post the complete logs of
cmake -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=ON -DSHERPA_ONNX_ENABLE_GPU=ON ..(Please remove build/CMakeCache.txt before you run the above command to get logs)
Not surprisingly, a similar error occurred
(kaldi) [ytc@localhost sherpa-onnx]$ ./build/bin/sherpa-onnx-offline \
--tokens=./sherpa-onnx-zipformer-multi-zh-hans-2023-9-2/tokens.txt
--encoder=./sherpa-onnx-zipformer-multi-zh-hans-2023-9-2/encoder-epoch-20-avg-1.int8.onnx
--decoder=./sherpa-onnx-zipformer-multi-zh-hans-2023-9-2/decoder-epoch-20-avg-1.onnx
--joiner=./sherpa-onnx-zipformer-multi-zh-hans-2023-9-2/joiner-epoch-20-avg-1.int8.onnx
--provider=cuda
./sherpa-onnx-zipformer-multi-zh-hans-2023-9-2/test_wavs/0.wav
./sherpa-onnx-zipformer-multi-zh-hans-2023-9-2/test_wavs/1.wav
./sherpa-onnx-zipformer-multi-zh-hans-2023-9-2/test_wavs/8k.wav
./build/bin/sherpa-onnx-offline: error while loading shared libraries: ../../_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so: cannot open shared object file: No such file or directory
from sherpa-onnx.
ytc19990517
commented on June 21, 2024
Could you post the complete logs of
cmake -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=ON -DSHERPA_ONNX_ENABLE_GPU=ON ..(Please remove build/CMakeCache.txt before you run the above command to get logs)
I remove ./build before executing cmake
from sherpa-onnx.
csukuangfj
commented on June 21, 2024
what is the output of
cd build
ls -lh _deps/onnxruntime-src/lib
please see also #1030 (comment)
from sherpa-onnx.
ytc19990517
commented on June 21, 2024
what is the output of
cd build ls -lh _deps/onnxruntime-src/libplease see also #1030 (comment)
(kaldi) [ytc@localhost build]$ ls -lh _deps/onnxruntime-src/lib
总用量 478M
-rwxrwxr-x. 1 ytc ytc 459M 6月 19 19:45 libonnxruntime_providers_cuda.so
-rwxrwxr-x. 1 ytc ytc 6.3K 6月 19 19:45 libonnxruntime_providers_shared.so
-rwxrwxr-x. 1 ytc ytc 839K 6月 19 19:45 libonnxruntime_providers_tensorrt.so
lrwxrwxrwx. 1 ytc ytc 24 6月 19 19:45 libonnxruntime.so -> libonnxruntime.so.1.17.1
-rwxrwxr-x. 1 ytc ytc 19M 6月 19 19:45 libonnxruntime.so.1.17.1
from sherpa-onnx.
ytc19990517
commented on June 21, 2024
Could you post the complete logs of
cmake -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=ON -DSHERPA_ONNX_ENABLE_GPU=ON ..(Please remove build/CMakeCache.txt before you run the above command to get logs)
(kaldi) [ytc@localhost sherpa-onnx]$ mkdir build
(kaldi) [ytc@localhost sherpa-onnx]$ cd build/
(kaldi) [ytc@localhost build]$ cmake -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=ON -DSHERPA_ONNX_ENABLE_GPU=ON ..
-- The C compiler identification is GNU 10.1.0
-- The CXX compiler identification is GNU 10.1.0
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /usr/bin/cc - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
CMake Warning at CMakeLists.txt:78 (message):
Compiling for NVIDIA GPU is enabled. Please make sure cudatoolkit
is installed on your system. Otherwise, you will get errors at runtime.
Hint: You don't need sudo permission to install CUDA toolkit. Please refer
to
https://k2-fsa.github.io/k2/installation/cuda-cudnn.html
to install CUDA toolkit if you have not installed it.
-- CMAKE_BUILD_TYPE: Release
-- CMAKE_INSTALL_PREFIX: /usr/local
-- BUILD_SHARED_LIBS ON
-- SHERPA_ONNX_ENABLE_PYTHON OFF
-- SHERPA_ONNX_ENABLE_TESTS OFF
-- SHERPA_ONNX_ENABLE_CHECK OFF
-- SHERPA_ONNX_ENABLE_PORTAUDIO ON
-- SHERPA_ONNX_ENABLE_JNI OFF
-- SHERPA_ONNX_ENABLE_C_API ON
-- SHERPA_ONNX_ENABLE_WEBSOCKET ON
-- SHERPA_ONNX_ENABLE_GPU ON
-- SHERPA_ONNX_ENABLE_WASM OFF
-- SHERPA_ONNX_ENABLE_WASM_TTS OFF
-- SHERPA_ONNX_ENABLE_WASM_ASR OFF
-- SHERPA_ONNX_ENABLE_WASM_KWS OFF
-- SHERPA_ONNX_ENABLE_WASM_NODEJS OFF
-- SHERPA_ONNX_ENABLE_BINARY ON
-- SHERPA_ONNX_ENABLE_TTS ON
-- SHERPA_ONNX_LINK_LIBSTDCPP_STATICALLY ON
-- SHERPA_ONNX_USE_PRE_INSTALLED_ONNXRUNTIME_IF_AVAILABLE ON
-- SHERPA_ONNX_ENABLE_SANITIZER: OFF
-- TTS is enabled
-- C++ Standard version: 14
-- Looking for C++ include alsa/asoundlib.h
-- Looking for C++ include alsa/asoundlib.h - found
-- With Alsa
-- Looking for C++ include cxxabi.h
-- Looking for C++ include cxxabi.h - found
-- Looking for C++ include execinfo.h
-- Looking for C++ include execinfo.h - found
-- Downloading kaldi-native-fbank from https://github.com/csukuangfj/kaldi-native-fbank/archive/refs/tags/v1.19.3.tar.gz
-- kaldi-native-fbank is downloaded to /home/ytc/ytcProject/sherpa-onnx/build/_deps/kaldi_native_fbank-src
-- kaldi-native-fbank's binary dir is /home/ytc/ytcProject/sherpa-onnx/build/_deps/kaldi_native_fbank-build
CMake Deprecation Warning at build/_deps/kaldi_native_fbank-src/CMakeLists.txt:24 (cmake_minimum_required):
Compatibility with CMake < 3.5 will be removed from a future version of
CMake.
Update the VERSION argument <min> value or use a ...<max> suffix to tell
CMake that the project does not need compatibility with older versions.
-- CMAKE_BUILD_TYPE: Release
-- CMAKE_EXPORT_COMPILE_COMMANDS:
-- BUILD_SHARED_LIBS: ON
-- KALDI_NATIVE_FBANK_BUILD_TESTS: OFF
-- KALDI_NATIVE_FBANK_BUILD_PYTHON: OFF
-- KALDI_NATIVE_FBANK_ENABLE_CHECK: OFF
-- KALDI_NATIVE_FBANK_ENABLE_CHECK: OFF
-- CMAKE_CXX_FLAGS:
-- CMAKE_INSTALL_PREFIX: /usr/local
-- Looking for C++ include cxxabi.h
-- Looking for C++ include cxxabi.h - found
-- Looking for C++ include execinfo.h
-- Looking for C++ include execinfo.h - found
-- Disable building Python
-- Downloading kaldi-decoder from https://github.com/k2-fsa/kaldi-decoder/archive/refs/tags/v0.2.6.tar.gz
-- kaldi-decoder is downloaded to /home/ytc/ytcProject/sherpa-onnx/build/_deps/kaldi_decoder-src
-- kaldi-decoder's binary dir is /home/ytc/ytcProject/sherpa-onnx/build/_deps/kaldi_decoder-build
-- CMAKE_BUILD_TYPE: Release
-- Downloading kaldifst from https://github.com/k2-fsa/kaldifst/archive/refs/tags/v1.7.11.tar.gz
-- kaldifst is downloaded to /home/ytc/ytcProject/sherpa-onnx/build/_deps/kaldifst-src
-- kaldifst's binary dir is /home/ytc/ytcProject/sherpa-onnx/build/_deps/kaldifst-build
-- CMAKE_BUILD_TYPE: Release
-- CMAKE_BUILD_TYPE: Release
-- CMAKE_INSTALL_PREFIX: /usr/local
-- BUILD_SHARED_LIBS ON
-- C++ Standard version: 14
-- CMAKE_CXX_FLAGS:
-- Downloading openfst from https://github.com/csukuangfj/openfst/archive/refs/tags/sherpa-onnx-2024-06-13.tar.gz
-- openfst is downloaded to /home/ytc/ytcProject/sherpa-onnx/build/_deps/openfst-src
-- The following ICU libraries were not found:
-- data (required)
-- i18n (required)
-- io (required)
-- test (required)
-- tu (required)
-- uc (required)
-- Failed to find all ICU components (missing: ICU_INCLUDE_DIR ICU_LIBRARY _ICU_REQUIRED_LIBS_FOUND)
-- Found ZLIB: /usr/lib64/libz.so (found version "1.2.7")
CMake Deprecation Warning at build/_deps/openfst-src/CMakeLists.txt:15 (cmake_minimum_required):
Compatibility with CMake < 3.5 will be removed from a future version of
CMake.
Update the VERSION argument <min> value or use a ...<max> suffix to tell
CMake that the project does not need compatibility with older versions.
-- Downloading eigen from https://gitlab.com/libeigen/eigen/-/archive/3.4.0/eigen-3.4.0.tar.gz
-- eigen is downloaded to /home/ytc/ytcProject/sherpa-onnx/build/_deps/eigen-src
-- eigen's binary dir is /home/ytc/ytcProject/sherpa-onnx/build/_deps/eigen-build
-- Performing Test EIGEN_COMPILER_SUPPORT_CPP11
-- Performing Test EIGEN_COMPILER_SUPPORT_CPP11 - Success
-- Performing Test COMPILER_SUPPORT_std=cpp03
-- Performing Test COMPILER_SUPPORT_std=cpp03 - Success
-- Performing Test standard_math_library_linked_to_automatically
-- Performing Test standard_math_library_linked_to_automatically - Success
-- Standard libraries to link to explicitly: none
-- Performing Test COMPILER_SUPPORT_WERROR
-- Performing Test COMPILER_SUPPORT_WERROR - Success
-- Performing Test COMPILER_SUPPORT_pedantic
-- Performing Test COMPILER_SUPPORT_pedantic - Success
-- Performing Test COMPILER_SUPPORT_Wall
-- Performing Test COMPILER_SUPPORT_Wall - Success
-- Performing Test COMPILER_SUPPORT_Wextra
-- Performing Test COMPILER_SUPPORT_Wextra - Success
-- Performing Test COMPILER_SUPPORT_Wundef
-- Performing Test COMPILER_SUPPORT_Wundef - Success
-- Performing Test COMPILER_SUPPORT_Wcastalign
-- Performing Test COMPILER_SUPPORT_Wcastalign - Success
-- Performing Test COMPILER_SUPPORT_Wcharsubscripts
-- Performing Test COMPILER_SUPPORT_Wcharsubscripts - Success
-- Performing Test COMPILER_SUPPORT_Wnonvirtualdtor
-- Performing Test COMPILER_SUPPORT_Wnonvirtualdtor - Success
-- Performing Test COMPILER_SUPPORT_Wunusedlocaltypedefs
-- Performing Test COMPILER_SUPPORT_Wunusedlocaltypedefs - Success
-- Performing Test COMPILER_SUPPORT_Wpointerarith
-- Performing Test COMPILER_SUPPORT_Wpointerarith - Success
-- Performing Test COMPILER_SUPPORT_Wwritestrings
-- Performing Test COMPILER_SUPPORT_Wwritestrings - Success
-- Performing Test COMPILER_SUPPORT_Wformatsecurity
-- Performing Test COMPILER_SUPPORT_Wformatsecurity - Success
-- Performing Test COMPILER_SUPPORT_Wshorten64to32
-- Performing Test COMPILER_SUPPORT_Wshorten64to32 - Failed
-- Performing Test COMPILER_SUPPORT_Wlogicalop
-- Performing Test COMPILER_SUPPORT_Wlogicalop - Success
-- Performing Test COMPILER_SUPPORT_Wenumconversion
-- Performing Test COMPILER_SUPPORT_Wenumconversion - Failed
-- Performing Test COMPILER_SUPPORT_Wcpp11extensions
-- Performing Test COMPILER_SUPPORT_Wcpp11extensions - Failed
-- Performing Test COMPILER_SUPPORT_Wdoublepromotion
-- Performing Test COMPILER_SUPPORT_Wdoublepromotion - Success
-- Performing Test COMPILER_SUPPORT_Wshadow
-- Performing Test COMPILER_SUPPORT_Wshadow - Success
-- Performing Test COMPILER_SUPPORT_Wnopsabi
-- Performing Test COMPILER_SUPPORT_Wnopsabi - Success
-- Performing Test COMPILER_SUPPORT_Wnovariadicmacros
-- Performing Test COMPILER_SUPPORT_Wnovariadicmacros - Success
-- Performing Test COMPILER_SUPPORT_Wnolonglong
-- Performing Test COMPILER_SUPPORT_Wnolonglong - Success
-- Performing Test COMPILER_SUPPORT_fnochecknew
-- Performing Test COMPILER_SUPPORT_fnochecknew - Success
-- Performing Test COMPILER_SUPPORT_fnocommon
-- Performing Test COMPILER_SUPPORT_fnocommon - Success
-- Performing Test COMPILER_SUPPORT_fstrictaliasing
-- Performing Test COMPILER_SUPPORT_fstrictaliasing - Success
-- Performing Test COMPILER_SUPPORT_wd981
-- Performing Test COMPILER_SUPPORT_wd981 - Failed
-- Performing Test COMPILER_SUPPORT_wd2304
-- Performing Test COMPILER_SUPPORT_wd2304 - Failed
-- Performing Test COMPILER_SUPPORT_STRICTANSI
-- Performing Test COMPILER_SUPPORT_STRICTANSI - Failed
-- Performing Test COMPILER_SUPPORT_Qunusedarguments
-- Performing Test COMPILER_SUPPORT_Qunusedarguments - Failed
-- Performing Test COMPILER_SUPPORT_ansi
-- Performing Test COMPILER_SUPPORT_ansi - Success
-- Performing Test COMPILER_SUPPORT_OPENMP
-- Performing Test COMPILER_SUPPORT_OPENMP - Success
-- Looking for a Fortran compiler
-- Looking for a Fortran compiler - /usr/bin/f95
-- The Fortran compiler identification is GNU 4.8.5
-- Detecting Fortran compiler ABI info
-- Detecting Fortran compiler ABI info - done
-- Check for working Fortran compiler: /usr/bin/f95 - skipped
-- Found unsuitable Qt version "5.15.2" from /home/ytc/anaconda3/bin/qmake
-- Qt4 not found, so disabling the mandelbrot and opengl demos
-- Could NOT find CHOLMOD (missing: CHOLMOD_INCLUDES CHOLMOD_LIBRARIES)
-- Could NOT find UMFPACK (missing: UMFPACK_INCLUDES UMFPACK_LIBRARIES)
-- Could NOT find KLU (missing: KLU_INCLUDES KLU_LIBRARIES)
-- Could NOT find SuperLU (missing: SUPERLU_INCLUDES SUPERLU_LIBRARIES SUPERLU_VERSION_OK) (Required is at least version "4.0")
-- Checking for one of the modules 'hwloc'
-- A version of Pastix has been found but pastix_nompi.h does not exist in the include directory. Because Eigen tests require a version without MPI, we disable the Pastix backend.
--
-- Configured Eigen 3.4.0
--
-- Available targets (use: make TARGET):
-- ---------+--------------------------------------------------------------
-- Target | Description
-- ---------+--------------------------------------------------------------
-- install | Install Eigen. Headers will be installed to:
-- | <CMAKE_INSTALL_PREFIX>/<INCLUDE_INSTALL_DIR>
-- | Using the following values:
-- | CMAKE_INSTALL_PREFIX: /usr/local
-- | INCLUDE_INSTALL_DIR: include/eigen3
-- | Change the install location of Eigen headers using:
-- | cmake . -DCMAKE_INSTALL_PREFIX=yourprefix
-- | Or:
-- | cmake . -DINCLUDE_INSTALL_DIR=yourdir
-- doc | Generate the API documentation, requires Doxygen & LaTeX
-- blas | Build BLAS library (not the same thing as Eigen)
-- uninstall| Remove files installed by the install target
-- ---------+--------------------------------------------------------------
--
-- CMAKE_SYSTEM_NAME: Linux
-- CMAKE_SYSTEM_PROCESSOR: x86_64
-- location_onnxruntime_header_dir: location_onnxruntime_header_dir-NOTFOUND
-- location_onnxruntime_lib: location_onnxruntime_lib-NOTFOUND
-- location_onnxruntime_cuda_lib: location_onnxruntime_cuda_lib-NOTFOUND
-- Could not find a pre-installed onnxruntime.
-- Downloading pre-compiled onnxruntime
-- CMAKE_SYSTEM_NAME: Linux
-- CMAKE_SYSTEM_PROCESSOR: x86_64
-- CMAKE_SYSTEM_NAME: Linux
-- CMAKE_SYSTEM_PROCESSOR: x86_64
-- Downloading onnxruntime from https://github.com/microsoft/onnxruntime/releases/download/v1.17.1/onnxruntime-linux-x64-gpu-1.17.1.tgz
-- onnxruntime is downloaded to /home/ytc/ytcProject/sherpa-onnx/build/_deps/onnxruntime-src
-- location_onnxruntime: /home/ytc/ytcProject/sherpa-onnx/build/_deps/onnxruntime-src/lib/libonnxruntime.so
-- location_onnxruntime_cuda_lib: /home/ytc/ytcProject/sherpa-onnx/build/_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so
-- location_onnxruntime_providers_shared_lib: /home/ytc/ytcProject/sherpa-onnx/build/_deps/onnxruntime-src/lib/libonnxruntime_providers_shared.so
-- onnxruntime lib files: /home/ytc/ytcProject/sherpa-onnx/build/_deps/onnxruntime-src/lib/libonnxruntime.so;/home/ytc/ytcProject/sherpa-onnx/build/_deps/onnxruntime-src/lib/libonnxruntime.so.1.17.1;/home/ytc/ytcProject/sherpa-onnx/build/_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so;/home/ytc/ytcProject/sherpa-onnx/build/_deps/onnxruntime-src/lib/libonnxruntime_providers_shared.so;/home/ytc/ytcProject/sherpa-onnx/build/_deps/onnxruntime-src/lib/libonnxruntime_providers_tensorrt.so
-- Downloading simple-sentencepiece https://github.com/pkufool/simple-sentencepiece/archive/refs/tags/v0.7.tar.gz
-- simple-sentencepiece is downloaded to /home/ytc/ytcProject/sherpa-onnx/build/_deps/simple-sentencepiece-src
-- Performing Test SBPE_COMPILER_SUPPORTS_CXX14
-- Performing Test SBPE_COMPILER_SUPPORTS_CXX14 - Success
-- C++ Standard version: 14
-- ONNXRUNTIME_DIR: /home/ytc/ytcProject/sherpa-onnx/build/_deps/onnxruntime-src
-- Downloading portaudio from http://files.portaudio.com/archives/pa_stable_v190700_20210406.tgz
-- portaudio is downloaded to /home/ytc/ytcProject/sherpa-onnx/build/_deps/portaudio-src
-- portaudio's binary dir is /home/ytc/ytcProject/sherpa-onnx/build/_deps/portaudio-build
CMake Deprecation Warning at build/_deps/portaudio-src/CMakeLists.txt:7 (CMAKE_MINIMUM_REQUIRED):
Compatibility with CMake < 3.5 will be removed from a future version of
CMake.
Update the VERSION argument <min> value or use a ...<max> suffix to tell
CMake that the project does not need compatibility with older versions.
CMake Warning (dev) at /usr/local/cmake/share/cmake-3.29/Modules/FindPackageHandleStandardArgs.cmake:438 (message):
The package name passed to `find_package_handle_standard_args` (jack) does
not match the name of the calling package (Jack). This can lead to
problems in calling code that expects `find_package` result variables
(e.g., `_FOUND`) to follow a certain pattern.
Call Stack (most recent call first):
build/_deps/portaudio-src/cmake_support/FindJack.cmake:34 (find_package_handle_standard_args)
build/_deps/portaudio-src/CMakeLists.txt:277 (FIND_PACKAGE)
This warning is for project developers. Use -Wno-dev to suppress it.
-- Could NOT find jack (missing: JACK_LIBRARY JACK_INCLUDE_DIR)
-- Found ALSA: /usr/lib64/libasound.so (found version "1.1.8")
-- Downloading websocketpp from https://github.com/zaphoyd/websocketpp/archive/b9aeec6eaf3d5610503439b4fae3581d9aff08e8.zip
-- websocketpp is downloaded to /home/ytc/ytcProject/sherpa-onnx/build/_deps/websocketpp-src
-- Downloading asio https://github.com/chriskohlhoff/asio/archive/refs/tags/asio-1-24-0.tar.gz
-- asio is downloaded to /home/ytc/ytcProject/sherpa-onnx/build/_deps/asio-src
-- Downloading espeak-ng from https://github.com/csukuangfj/espeak-ng/archive/69bf6927964fb042aeb827cfdf6082a30f5802eb.zip
-- espeak-ng is downloaded to /home/ytc/ytcProject/sherpa-onnx/build/_deps/espeak_ng-src
-- espeak-ng binary dir is /home/ytc/ytcProject/sherpa-onnx/build/_deps/espeak_ng-build
-- Looking for mkstemp
-- Looking for mkstemp - found
-- Configuration:
-- shared: ON
-- mbrola: OFF (MBROLA_BIN-NOTFOUND)
-- libsonic: OFF (SONIC_LIB-NOTFOUND SONIC_INC-NOTFOUND)
-- libpcaudio: OFF (PCAUDIO_LIB-NOTFOUND PCAUDIO_INC-NOTFOUND)
-- klatt: OFF
-- speech-player: OFF
-- async: OFF
-- ESPEAK_NG_DIR: /home/ytc/ytcProject/sherpa-onnx/build/_deps/espeak_ng-src
-- Downloading piper-phonemize from https://github.com/csukuangfj/piper-phonemize/archive/dc6b5f4441bffe521047086930b0fc12686acd56.zip
-- piper-phonemize is downloaded to /home/ytc/ytcProject/sherpa-onnx/build/_deps/piper_phonemize-src
-- piper-phonemize binary dir is /home/ytc/ytcProject/sherpa-onnx/build/_deps/piper_phonemize-build
-- ESPEAK_NG_DIR: /home/ytc/ytcProject/sherpa-onnx/build/_deps/espeak_ng-src
-- ONNXRUNTIME_DIR: /home/ytc/ytcProject/sherpa-onnx/build/_deps/onnxruntime-src
-- Downloading cppjieba https://github.com/csukuangfj/cppjieba/archive/refs/tags/sherpa-onnx-2024-04-19.tar.gz
-- cppjieba is downloaded to /home/ytc/ytcProject/sherpa-onnx/build/_deps/cppjieba-src
CMake Deprecation Warning at build/_deps/cppjieba-src/CMakeLists.txt:3 (cmake_minimum_required):
Compatibility with CMake < 3.5 will be removed from a future version of
CMake.
Update the VERSION argument <min> value or use a ...<max> suffix to tell
CMake that the project does not need compatibility with older versions.
-- Downloading cargs https://github.com/likle/cargs/archive/refs/tags/v1.0.3.tar.gz
-- cargs is downloaded to /home/ytc/ytcProject/sherpa-onnx/build/_deps/cargs-src
-- CMAKE_CXX_FLAGS:
-- CMAKE_CXX_FLAGS:
-- Configuring done (3857.5s)
-- Generating done (0.2s)
-- Build files have been written to: /home/ytc/ytcProject/sherpa-onnx/build
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csukuangfj
commented on June 21, 2024
Please run
cd /path/to/sherpa-onnx
mkdir -p ../../_deps/onnxruntime-src/lib
cp -v build/_deps/onnxruntime-src/lib/* ../../_deps/onnxruntime-src/lib
# And run ./build/bin/sherpa-onnx-offline again
from sherpa-onnx.
ytc19990517
commented on June 21, 2024
Please run
cd /path/to/sherpa-onnx mkdir -p ../../_deps/onnxruntime-src/lib cp -v build/_deps/onnxruntime-src/lib/* ../../_deps/onnxruntime-src/lib # And run ./build/bin/sherpa-onnx-offline again
(kaldi) [ytc@localhost sherpa-onnx]$ mkdir -p ../../_deps/onnxruntime-src/lib
(kaldi) [ytc@localhost sherpa-onnx]$ cp -v build/_deps/onnxruntime-src/lib/* ../../_deps/onnxruntime-src/lib
"build/_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so" -> "../../_deps/onnxruntime-src/lib/libonnxruntime_providers_cuda.so"
"build/_deps/onnxruntime-src/lib/libonnxruntime_providers_shared.so" -> "../../_deps/onnxruntime-src/lib/libonnxruntime_providers_shared.so"
"build/_deps/onnxruntime-src/lib/libonnxruntime_providers_tensorrt.so" -> "../../_deps/onnxruntime-src/lib/libonnxruntime_providers_tensorrt.so"
"build/_deps/onnxruntime-src/lib/libonnxruntime.so" -> "../../_deps/onnxruntime-src/lib/libonnxruntime.so"
"build/_deps/onnxruntime-src/lib/libonnxruntime.so.1.17.1" -> "../../_deps/onnxruntime-src/lib/libonnxruntime.so.1.17.1"
(kaldi) [ytc@localhost sherpa-onnx]$ ./build/bin/sherpa-onnx-offline \
--tokens=./sherpa-onnx-zipformer-multi-zh-hans-2023-9-2/tokens.txt
--encoder=./sherpa-onnx-zipformer-multi-zh-hans-2023-9-2/encoder-epoch-20-avg-1.int8.onnx
--decoder=./sherpa-onnx-zipformer-multi-zh-hans-2023-9-2/decoder-epoch-20-avg-1.onnx
--joiner=./sherpa-onnx-zipformer-multi-zh-hans-2023-9-2/joiner-epoch-20-avg-1.int8.onnx
--provider=cuda
./sherpa-onnx-zipformer-multi-zh-hans-2023-9-2/test_wavs/0.wav
./sherpa-onnx-zipformer-multi-zh-hans-2023-9-2/test_wavs/1.wav
./sherpa-onnx-zipformer-multi-zh-hans-2023-9-2/test_wavs/8k.wav
Segmentation fault (core dumped)
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csukuangfj
commented on June 21, 2024
Ok, so it is the issue of your environment, I think.
Please follow https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html
to install
- cuda 11.8
- cudnn 8.2.4
from sherpa-onnx.
ytc19990517
commented on June 21, 2024
Ok, so it is the issue of your environment, I think.
Please follow https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html to install
- cuda 11.8
- cudnn 8.2.4
(kaldi) [ytc@localhost ~]$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2022 NVIDIA Corporation
Built on Wed_Sep_21_10:33:58_PDT_2022
Cuda compilation tools, release 11.8, V11.8.89
Build cuda_11.8.r11.8/compiler.31833905_0
from sherpa-onnx.
ytc19990517
commented on June 21, 2024
Ok, so it is the issue of your environment, I think.
Please follow https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html to install
- cuda 11.8
- cudnn 8.2.4
I followed this step to install the environment
https://k2-fsa.github.io/k2/installation/cuda-cudnn.html#cuda-11-8
from sherpa-onnx.
ytc19990517
commented on June 21, 2024
Ok, so it is the issue of your environment, I think.
Please follow https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html to install
- cuda 11.8
- cudnn 8.2.4
I used Pytorch in this environment and it's all working fine
from sherpa-onnx.
ytc19990517
commented on June 21, 2024
Ok, so it is the issue of your environment, I think.
Please follow https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html to install
- cuda 11.8
- cudnn 8.2.4
I reinstalled cuda11.8 and cudnn8.7.0 but still get the same error
from sherpa-onnx.
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