# Cannot install Lightning-GPU on Ubuntu **URL:** \ **Category:** PennyLane Help\ **Created:** [October 27, 2022, 6:05am UTC](https://discuss.pennylane.ai/t/cannot-install-lightning-gpu-on-ubuntu/2244 "2022-10-27T06:05:45Z")\ **Posts on this page:** 6\ **Page:** 1
**Author:** ![Jinkai\_Tian](https://yyz2.discourse-cdn.com/flex012/user_avatar/discuss.pennylane.ai/jinkai_tian/32/1242_2.png) [@Jinkai\_Tian](https://discuss.pennylane.ai/u/Jinkai_Tian)\ **Post date:** [October 27, 2022, 6:05am UTC](https://discuss.pennylane.ai/t/cannot-install-lightning-gpu-on-ubuntu/2244/1 "2022-10-27T06:05:45Z")
When building a wheel from the package sources using the direct SDK path, I meet a error on the second step: ``` $ cmake --build ./Build --verbose /usr/local/bin/cmake -S/home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main -B/home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main/Build --check-build-system CMakeFiles/Makefile.cmake 0 /usr/local/bin/cmake -E cmake_progress_start /home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main/Build/CMakeFiles /home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main/Build//CMakeFiles/progress.marks /usr/bin/make -f CMakeFiles/Makefile2 all make[1]: Entering directory '/home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main/Build' /usr/bin/make -f _deps/kokkos-build/core/src/CMakeFiles/kokkoscore.dir/build.make _deps/kokkos-build/core/src/CMakeFiles/kokkoscore.dir/depend make[2]: Entering directory '/home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main/Build' cd /home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main/Build && /usr/local/bin/cmake -E cmake_depends "Unix Makefiles" /home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main /home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main/Build/_deps/kokkos-src/core/src /home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main/Build /home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main/Build/_deps/kokkos-build/core/src /home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main/Build/_deps/kokkos-build/core/src/CMakeFiles/kokkoscore.dir/DependInfo.cmake --color= make[2]: Leaving directory '/home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main/Build' /usr/bin/make -f _deps/kokkos-build/core/src/CMakeFiles/kokkoscore.dir/build.make _deps/kokkos-build/core/src/CMakeFiles/kokkoscore.dir/build make[2]: Entering directory '/home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main/Build' [1%] Building CXX object _deps/kokkos-build/core/src/CMakeFiles/kokkoscore.dir/impl/Kokkos_CPUDiscovery.cpp.o cd /home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main/Build/_deps/kokkos-build/core/src && /usr/local/bin/cmake -E __run_co_compile --tidy="clang-tidy;-extra-arg=-std=c++17;--extra-arg-before=--driver-mode=g++" --source=/home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main/Build/_deps/kokkos-src/core/src/impl/Kokkos_CPUDiscovery.cpp -- /usr/bin/c++ -DKOKKOS_DEPENDENCE -I/home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main/Build/_deps/kokkos-build/core/src -I/home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main/Build/_deps/kokkos-src/core/src -I/home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main/Build/_deps/kokkos-build -O2 -g -DNDEBUG -fPIC -std=gnu++2a -MD -MT _deps/kokkos-build/core/src/CMakeFiles/kokkoscore.dir/impl/Kokkos_CPUDiscovery.cpp.o -MF CMakeFiles/kokkoscore.dir/impl/Kokkos_CPUDiscovery.cpp.o.d -o CMakeFiles/kokkoscore.dir/impl/Kokkos_CPUDiscovery.cpp.o -c /home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main/Build/_deps/kokkos-src/core/src/impl/Kokkos_CPUDiscovery.cpp Error running 'clang-tidy': No such file or directory make[2]: *** [_deps/kokkos-build/core/src/CMakeFiles/kokkoscore.dir/build.make:76: _deps/kokkos-build/core/src/CMakeFiles/kokkoscore.dir/impl/Kokkos_CPUDiscovery.cpp.o] Error 1 make[2]: Leaving directory '/home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main/Build' make[1]: *** [CMakeFiles/Makefile2:1269: _deps/kokkos-build/core/src/CMakeFiles/kokkoscore.dir/all] Error 2 make[1]: Leaving directory '/home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main/Build' make: *** [Makefile:136: all] Error 2 ``` My platform is: Conda environment python3.8 cuQuantum 22.7.1 gcc version 10.3.0 (Ubuntu 10.3.0-1ubuntu1~20.04) cmake version 3.25.0-rc2 I am wandering if there are any suggestions? ---
**Author:** ![CatalinaAlbornoz](https://yyz2.discourse-cdn.com/flex012/user_avatar/discuss.pennylane.ai/catalinaalbornoz/32/1196_2.png) [@CatalinaAlbornoz](https://discuss.pennylane.ai/u/CatalinaAlbornoz)\ **Post date:** [October 28, 2022, 8:56pm UTC](https://discuss.pennylane.ai/t/cannot-install-lightning-gpu-on-ubuntu/2244/2 "2022-10-28T20:56:14Z")
Hi @Jinkai_Tian, welcome to the forum! Can you please post the output of qml.about()? Also, what GPU will you be using? I’m thinking that you may be using an old version of PennyLane and PennyLane-Lightning, or it may be an issue with the architecture you’re using. Also, you could try updating your GCC to 11.x. If you do this does the problem get fixed? ---
**Author:** ![mlxd](https://yyz2.discourse-cdn.com/flex012/user_avatar/discuss.pennylane.ai/mlxd/32/526_2.png) [@mlxd](https://discuss.pennylane.ai/u/mlxd)\ **Post date:** [October 28, 2022, 9:31pm UTC](https://discuss.pennylane.ai/t/cannot-install-lightning-gpu-on-ubuntu/2244/3 "2022-10-28T21:31:27Z")
Hi @Jinkai_Tian Just to jump in and have a look at your error message. We use a tool named `clang-tidy` to ensure any and all development adheres to a given standard when building the libraries. On your machine this doesn’t appear to be installed. You can try `apt install clang-tidy` to see if this helps. Otherwise, you can explicitly disable this step using `-DENABLE_CLANG_TIDY=off` to see if it helps. Though, if you are on an x86\_64 machine, you can simply pip install `lightning.gpu` and not build it from scratch with ```python python3 -m venv pypenv source ./pyenv/bin/activate python -m pip install pennylane pennylane-lightning[gpu] cuquantum ``` hope this helps. ---
**Author:** ![Jinkai\_Tian](https://yyz2.discourse-cdn.com/flex012/user_avatar/discuss.pennylane.ai/jinkai_tian/32/1242_2.png) [@Jinkai\_Tian](https://discuss.pennylane.ai/u/Jinkai_Tian)\ **Post date:** [November 3, 2022, 8:55am UTC](https://discuss.pennylane.ai/t/cannot-install-lightning-gpu-on-ubuntu/2244/4 "2022-11-03T08:55:32Z")
The GPU I am using is 2080Ti. The output of qml.about() is as follows: Name: PennyLane Version: 0.26.0 Summary: PennyLane is a Python quantum machine learning library by Xanadu Inc. Home-page: [https://github.com/XanaduAI/pennylane](https://github.com/XanaduAI/pennylane) Author: Author-email: License: Apache License 2.0 Location: /home/joselyn/.conda/envs/quantum38/lib/python3.8/site-packages Requires: appdirs, autograd, autoray, cachetools, networkx, numpy, pennylane-lightning, retworkx, scipy, semantic-version, toml Required-by: PennyLane-Lightning Platform info: Linux-5.11.0-34-generic-x86\_64-with-glibc2.17 Python version: 3.8.13 Numpy version: 1.23.4 Scipy version: 1.9.3 Installed devices: - lightning.qubit (PennyLane-Lightning-0.26.1) - default.gaussian (PennyLane-0.26.0) - default.mixed (PennyLane-0.26.0) - default.qubit (PennyLane-0.26.0) - default.qubit.autograd (PennyLane-0.26.0) - default.qubit.jax (PennyLane-0.26.0) - default.qubit.tf (PennyLane-0.26.0) - default.qubit.torch (PennyLane-0.26.0) - default.qutrit (PennyLane-0.26.0) And are there any dependence on CUDA version? ---
**Author:** ![Jinkai\_Tian](https://yyz2.discourse-cdn.com/flex012/user_avatar/discuss.pennylane.ai/jinkai_tian/32/1242_2.png) [@Jinkai\_Tian](https://discuss.pennylane.ai/u/Jinkai_Tian)\ **Post date:** [November 3, 2022, 9:07am UTC](https://discuss.pennylane.ai/t/cannot-install-lightning-gpu-on-ubuntu/2244/5 "2022-11-03T09:07:08Z")
Successfully installed! but get errors when I testing it. Any suggestions? $ make test-python python3 -I -m pytest tests --tb=short ====================================== test session starts ======================================================== platform linux – Python 3.9.13, pytest-7.2.0, pluggy-1.0.0 rootdir: /home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main/tests, configfile: pytest.ini collected 645 items / 1 skipped tests/test\_adjoint\_jacobian.py …EEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEsss…FFFFFFFFFFFF… [31%] tests/test\_apply.py …EEs [68%] tests/test\_comparison.py …Fatal Python error: Segmentation fault Current thread 0x00007f778e32b280 (most recent call first): File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pennylane\_lightning/lightning\_qubit.py”, line 200 in apply\_lightning File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pennylane\_lightning/lightning\_qubit.py”, line 169 in apply File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pennylane/\_qubit\_device.py”, line 315 in execute File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pennylane/\_qubit\_device.py”, line 586 in batch\_execute File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/contextlib.py”, line 79 in inner File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pennylane/interfaces/execution.py”, line 122 in fn File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pennylane/interfaces/execution.py”, line 197 in wrapper File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pennylane/interfaces/autograd.py”, line 110 in \_execute File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/autograd/tracer.py”, line 48 in f\_wrapped File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pennylane/interfaces/autograd.py”, line 66 in execute File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pennylane/interfaces/execution.py”, line 443 in execute File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pennylane/qnode.py”, line 661 in **call** File “/home/joselyn/Documents/tianjk/pennylane-lightning-gpu-main/tests/test\_comparison.py”, line 249 in test\_n\_qubit\_circuit File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/\_pytest/python.py”, line 195 in pytest\_pyfunc\_call File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pluggy/\_callers.py”, line 39 in \_multicall File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pluggy/\_manager.py”, line 80 in \_hookexec File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pluggy/\_hooks.py”, line 265 in **call** File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/\_pytest/python.py”, line 1789 in runtest File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/\_pytest/runner.py”, line 167 in pytest\_runtest\_call File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pluggy/\_callers.py”, line 39 in \_multicall File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pluggy/\_manager.py”, line 80 in \_hookexec File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pluggy/\_hooks.py”, line 265 in **call** File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/\_pytest/runner.py”, line 260 in File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/\_pytest/runner.py”, line 339 in from\_call File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/\_pytest/runner.py”, line 259 in call\_runtest\_hook File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/\_pytest/runner.py”, line 220 in call\_and\_report File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/\_pytest/runner.py”, line 131 in runtestprotocol File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/\_pytest/runner.py”, line 112 in pytest\_runtest\_protocol File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pluggy/\_callers.py”, line 39 in \_multicall File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pluggy/\_manager.py”, line 80 in \_hookexec File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pluggy/\_hooks.py”, line 265 in **call** File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/\_pytest/main.py”, line 349 in pytest\_runtestloop File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pluggy/\_callers.py”, line 39 in \_multicall File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pluggy/\_manager.py”, line 80 in \_hookexec File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pluggy/\_hooks.py”, line 265 in **call** File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/\_pytest/main.py”, line 324 in \_main File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/\_pytest/main.py”, line 270 in wrap\_session File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/\_pytest/main.py”, line 317 in pytest\_cmdline\_main File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pluggy/\_callers.py”, line 39 in \_multicall File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pluggy/\_manager.py”, line 80 in \_hookexec File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pluggy/\_hooks.py”, line 265 in **call** File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/\_pytest/config/ **init**.py”, line 167 in main File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/\_pytest/config/ **init**.py”, line 190 in console\_main File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/site-packages/pytest/ **main**.py”, line 5 in File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/runpy.py”, line 87 in \_run\_code File “/home/joselyn/.conda/envs/qml-gpu-39/lib/python3.9/runpy.py”, line 197 in \_run\_module\_as\_main make: \*\*\* [Makefile:70: test-builtin] Segmentation fault (core dumped) ---
**Author:** ![CatalinaAlbornoz](https://yyz2.discourse-cdn.com/flex012/user_avatar/discuss.pennylane.ai/catalinaalbornoz/32/1196_2.png) [@CatalinaAlbornoz](https://discuss.pennylane.ai/u/CatalinaAlbornoz)\ **Post date:** [November 4, 2022, 8:43pm UTC](https://discuss.pennylane.ai/t/cannot-install-lightning-gpu-on-ubuntu/2244/6 "2022-11-04T20:43:53Z")
Hi @Jinkai_Tian, Unfortunately segmentation faults can happen for many different reasons, and it can be hard to debug the cause. Talking to @mlxd he suggested doing the following: Use your system Python, rather than conda, and create a fresh environment with ``` python3 -m venv pypenv source ./pyenv/bin/activate python -m pip install pennylane pennylane-lightning[gpu] cuquantum ``` If that fails, we may need to see your LD\_LIBRARY\_PATH with `echo $LD_LIBRARY_PATH` as something may be causing problems there. Please let us know if this resolves your issue!