問題描述
我已按照 Anaconda 答案中的說明安裝了官方 MATLAB 引擎在 Linux 上安裝 Matlab 引擎 到運行 Python3.5 的 Anaconda 虛擬環境.我現在可以導入 matlab 和 matlab.engine 而不會收到錯誤.但是，當我嘗試:matlab.engine.start_matlab()，我得到分段錯誤(核心轉儲)"
I've installed the official MATLAB Engine by following the instructions from the answer to Anaconda install Matlab Engine on Linux to an Anaconda virtual environment running Python3.5. I can now import matlab and matlab.engine without receiving errors. However, when I try:
matlab.engine.start_matlab(), I get 'Segmentation fault (core dumped)'
我嘗試在 conda 環境中設置 LD_LIBRARY_PATH(以防萬一):export LD_LIBRARY_PATH=/System/Library/Frameworks/Python.framework/Versions/Current/lib:$LD_LIBRARY_PATH，但無濟于事.據我所知，該路徑也不存在，所以我也嘗試過 export DYLD_LIBRARY_PATH=path_to_anaconda3/envs/myEnv/lib:$LD_LIBRARY_PATH
I've tried setting LD_LIBRARY_PATH from within the conda environment (in case that is even relevant): export LD_LIBRARY_PATH=/System/Library/Frameworks/Python.framework/Versions/Current/lib:$LD_LIBRARY_PATH, but to no avail. The path doesn't exist either as far as I'm aware, so I've also tried export DYLD_LIBRARY_PATH=path_to_anaconda3/envs/myEnv/lib:$LD_LIBRARY_PATH
那么如何從 Anaconda 虛擬環境中啟動 matlab 引擎/從 Python 調用 Matlab 腳本?
So how can I start the matlab engine/call Matlab scripts from Python from within a Anaconda virtual environment?
順便說一句，我在 Ubuntu 上
I'm on Ubuntu, by the way
推薦答案
簡答:有兩個問題需要解決
Short answer: there were two problems that needed to be fixed
$LD_LIBRARY_PATH應該不包含 Anaconda 安裝的路徑.根據 conda 文檔，不鼓勵添加這樣的路徑:https://conda.io/docs/building/shared-libraries.html，但有些軟件包可能會這樣做，從而導致分段錯誤.- 需要從正確版本的 libpythonXXX.dylib 文件到/usr/lib/的符號鏈接，以便 MATLAB 可以找到正確的 Python
$LD_LIBRARY_PATHshould not contain a path to the Anaconda installation. Adding such a path is discouraged according to the conda documentation: https://conda.io/docs/building/shared-libraries.html, but some packages may do so anyways, causing the segmentation error.- A symbolic link is needed from a libpythonXXX.dylib file of the right version to /usr/lib/, so that MATLAB can find the right Python
長答案:使用 MATLAB Engine 和 Anaconda 的完整安裝說明
Long answer: complete installation instructions for using MATLAB Engine with Anaconda
- 安裝支持您要使用的 Python 的 MATLAB 版本.確保此特定 MATLAB 安裝已激活
- 打開終端并轉到包含 MATLAB 安裝的 Python 引擎的文件夾:
cd "/usr/local/MATLAB/R2017a/extern/engines/python" - 使用您要使用的 Python 版本運行 setup.py，并為 Anaconda 環境位置添加前綴:
sudo python3.5 setup.py install --prefix="/your_path_to_anaconda3/envs/your_env".此時，您應該能夠從 Anaconda 環境的 Python 中import matlab和matlab.engine，但是，在我的情況下，啟動引擎會導致分段錯誤. - 找到正確版本的 libpython 文件.您的 Anaconda 環境應該包含它:
find/your_path_to_anaconda3/envs/your_env/-name libpython*.就我而言，這返回了:- /.../lib/libpython3.so
- /.../lib/python3.5/config-3.5m/libpython3.5m.a
- /.../lib/libpython3.5m.so.1.0
- /.../lib/libpython3.5m.so
- Install a MATLAB version that supports the Python you want to use. Ensure that this particular MATLAB installation is activated
- Open a terminal and go to the folder containing the Python engine of the MATLAB installation:
cd "/usr/local/MATLAB/R2017a/extern/engines/python" - Run setup.py with the Python version you want to use, and prefix the Anaconda environment location:
sudo python3.5 setup.py install --prefix="/your_path_to_anaconda3/envs/your_env". At this point you should be able toimport matlabandmatlab.enginefrom within the Python of your Anaconda environment, but, in my case, starting the engine gave the segmentation error. - Find the libpython file of the right version. Your Anaconda environment should contain it:
find /your_path_to_anaconda3/envs/your_env/ -name libpython*. In my case this returned:- /.../lib/libpython3.so
- /.../lib/python3.5/config-3.5m/libpython3.5m.a
- /.../lib/libpython3.5m.so.1.0
- /.../lib/libpython3.5m.so
這篇關于在 anaconda 虛擬環境中啟動 Matlab 引擎返回“分段錯誤(核心轉儲)"的文章就介紹到這了，希望我們推薦的答案對大家有所幫助，也希望大家多多支持html5模板網！
【網站聲明】本站部分內容來源于互聯網,旨在幫助大家更快的解決問題，如果有圖片或者內容侵犯了您的權益，請聯系我們刪除處理，感謝您的支持！