I am trying to install ATLAS BLAS package.
The solution would be write on terminal
sudo apt-get install libblas-dev liblapack-dev
The problem is that I am running on Windows, so don't have the sudo neither apt-get command.
How could I install it ?
Sorry for the late answer, I just stumbled on your question searching for something else.
First, the command that you want to use (apt-get install) mainly concerns Debian-based Linux operating system and not Windows.
Second, it would install base BLAS and LAPACK libraries that are not ATLAS.
I think that you have at least two possibilities:
use Windows Subsystem for Linux (WSL) to install and run a Linux subsystem on your Windows machine, like a Ubuntu Linux distribution (more details here for the installation instruction), in which you will be able to use apt-get install command to install packages, and specifically apt-get install libatlas-base-dev for ATLAS, and any other software packages that you would need to run your computations.
directly install ATLAS in Windows, following the instructions on their website, based on the Cygwin software.
Maybe, other alternatives exist.
Related
Im trying to get something running in a lab, and I need to install a whole bunch of packages to compile the code:
sudo apt-get install build-essential libgtk2.0-dev libwxgtk3.0-dev libwx-perl libmodule-build-perl git cpanminus libextutils-cppguess-perl libboost-all-dev libxmu-dev liblocal-lib-perl wx-common libopengl-perl libwx-glcanvas-perl libtbb-dev libxmu-dev freeglut3-dev libwxgtk-media3.0-dev libboost-thread-dev libboost-system-dev libboost-filesystem-dev libcurl4-openssl-dev libextutils-makemaker-cpanfile-perl
The problem is, I'm working on a Mac; So I only have brew available - and the package names are not equivalent.
Am I trying to do something dumb and impossible, or is there a way to cross reference those apt-get packages to ones available in brew and install those so I can build the app?
For added context, its a modified "slicer" application for generating files that a 3d printer uses to make parts. I could fire up an ubuntu VM and use apt-get, but I'm on an M1 mac at the moment and recompiling experimental QEMU code just so I can fire up an ubuntu VM takes me way more out of my depth than I already am... I'm running brew on a duplicated, rosetta emulation forced terminal.
There is no straightforward way to automatically figure out whether a corresponding Homebrew package exists for each of these packages, no. But you can probably guess the majority, and manually figure out the rest. Each Debian package has a link to the upstream sources, and a home page if one exists, from which you can often find links to packages for other architectures, etc.
From the Debian package search page you can search e.g. for the libxmu-dev package, and discover the corresponding package page for Buster (the current stable Debian release), which in turn has links to the upstream repo, etc. But this is an X11 package, so it's not straightforwardly compatible with macOS, which uses an entirely different GUI architecture.
The Jupyter notebook worked initially, but I tried importing tensorflow and that would not work, so that led to me messing up everything.
I basically messed everything up, and I feel like the only way out now is to just nuke my device and restart. I had no idea what pip and anaconda are (still don't really), tried a bunch of funky updates and installations and whatever and now everything is just dead. My jupyter notebook cannot even run the normal python kernel.
How can I hard reset everything?
As a bonus, if someone were to ELI5 the difference between conda, pip, gitbash, and PowerShell are. And what versions of stuff does Jupyter run on (since my conda and device had different versions of things I think?). I use Windows 10.
My first piece of advice is to not use Windows, though I'll probably get downvote spam for that. On Ubuntu, I could stuff Jupyter setup into one line:
# update, install python3, python3-dev, and pip3; get pip packages
sudo apt-get update && sudo apt-get install -y python3 python3-dev python3-pip && sudo -H python3 -m pip install jupyter notebook ipykernel tensorflow
Once the packages are installed, it's as easy as running jupyter notebook in the terminal.
Anaconda is a distribution of Python that includes a ton of pre-built packages, including Jupyter and scipy, numpy, pandas, etc. It's an "out of the box" solution basically, that comes with most of the tools you need. "Pip" is a package manager for Python; pip install [package] lets you use a package in your script, like import [package]. In this case, that's tensorflow.
ipykernel is a package that will open up a Python kernel for Jupyter. You could run a Jupyter notebook on a Python3.7 backend but do stuff with Python2 code by installing ipykernel with Python2's pip, usually (on Ubuntu) sudo apt-get update && sudo apt-get install -y python-pip && sudo -H python -m pip install ipykernel.
What happens when you run jupter notebook? Do you get errors? Can you get the notebook to open, but there's just no kernel to attach to a notebook?
I have just set up a new Windows 10 machine for Python, Jupyter, and Tensorflow. I did the set-up without anaconda. I did the normal set-up procedure with some special steps:
1) Python 3.8 und Jupyter as installed by "pip install" does not work. You need to add three lines of code in a module that is installed as dependency when you install Jupyter. change asyncio.py
2) Current Tensorflow does not work with Python 3.8. You need to install Python 3.7. You don't need to delete your Python 3.8 if you have one. Create a virtual environment with virtualenv as described here and give the Path to your Python 3.7 Special Python in virtualenv
3) If you want to use GPU for NVIDIA in Tensorflow, you need to deal with the fact that two things do not fit together: current Tensorflow and the current version of ‘NVIDIA GPU Computing Toolkit’ (a tools you need for GPU support). Take a look here for the fix: cudart64_XYZ.dll not found
Let's start with the basics:
As a bonus, if someone were to ELI5 the difference between conda, pip, gitbash, and powershell are
You probably know the classical cmd.exe which opens a basic terminal where you can use different commands and call programs from. It is basically a text based way to interact with your operating system.
Powershell is in my understanding just an extension of this (I don't use it myself) and has more capabilities of what you can do and also better scripting support.
gitbash is an optional tool that you probably installed when you installed git on your computer. It emulates a bash shell that many people are used to from different operating system like ubuntu where bash is often the default terminal and therefore makes it easier to use, as all the syntax and commands are then the same as these ppl are used.
Neither of these is in any way directly related to using python on your computer other than being able to type python or jupyter notebook into these terminals to start the applications.
To the more python specific questions:
conda is a package and virtual environment management tool. It can be used to install a variety of software and also create virtual environments to keep different set ups seperate from one another (e.g. different python versions on the same machine). But it is not limited to python. It is pre-installed when you download and install miniconda or anaconda which are two python distributions.
pip is a package manager only for python packages and comes pre-installed with most python distributions.
anaconda/miniconda , often times confused with conda are two python distributions, i.e. what you would consider as "I installed python on my system" that come with the conda package manager pre-installed. miniconda does thereby not ship any other packages while anaconda comes with a long list of useful packages pre-installed and is therefore a popular choice when you want an easy acces into using python for your research
For more info, you can also read understanding-conda-and-pip
How can you save your system now
I basically fucked everything up
Difficult to access the current state of your system, but I would suggest you try the following steps to get to a working condition again:
Go into Setting -> Apps and remove everything that is related to python or anaconda. Make sure that everything is deleted by also searching (using windows search feature) for python or conda folders somewhere in C:\Users. This should make sure that everything about your setup is purged
Make sure that neither python, pip or jupyter commands are working anymore in your cmd (confirming the purge)
Download and install miniconda
Now Create a virtual environment and install tf. This is a good way to go because if you should manage to f*k up the environment, you can just delete and recreate it without much trouble:
conda create -n venv pip python=3.7 #create environment
conda activate venv #activate the environment
conda install jupyter #for jupyter notebook
pip install https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-2.1.0-cp37-cp37m-win_amd64.whl
Start jupyter notebook: jupyter notebook. Since it only exists in this environment, same as tensorflow, there should be no more issues to use tensorflow normally
I would like to package a Java application into a .exe file using launch4j.
My build server is a Linux based operating system. Is it possible to build the .exe on a Linux machine?
Yes, it is possible. I have done it with Jenkins on a debian system. You might get some problems with missing libs. So you have to install them on your build server.
See: https://github.com/lukaszlenart/launch4j-maven-plugin#faq
Q: Can I use Launch4j on 64bit OS?
A: Yes but you will have to install these libs to avoid problems:
lib32z1
lib32ncurses5
lib32bz2-1.0 ( (has been ia32-libs in older Ubuntu versions)
zlib.i686
ncurses-libs.i686
bzip2-libs.i686
In my case for debian I've installed the following packages:
apt-get install zlib1g-dev libncurses5-dev
apt-get install lib32z1 lib32ncurses5
I'm something of a Cygwin newbie, so that might be the problem, but I'm trying to install a package using apt-get and it's telling me there's no such command. I installed it on Windows 7.
The best I got from searching other questions here and across the net was that you need to install something specific (or run the setup file to update) when initially installing, but it's not clear to me what I need to install or run or whatever.
How do I install or update my cygwin to be able to use apt-get or, alternatively, how would I install packages with the basic, default installation of Cygwin that I already have?
Thank you.
You can use this : apt-cyg
It works just like apt-get in terms of command line arguments, but you will be using apt-cyg instead.
Refer https://github.com/transcode-open/apt-cyg It did helped me.
To install apt-cyg package.
Cygwin's official installer is setup.exe. This is the "proper" way to install Cygwin packages. There's a project called cyg-apt but it's not officially part of Cygwin.
Taking a simple example:
run the following commands in a gentoo machine with htop installed:
emerge -av htop
The system will start compilling htop package regardless whether htop has been installed or not.
What I wish to achieve is to give a parameter to emerge so that if htop is installed with the same flag, it wouldn't reinstall it.
I am on the processe of installing a software package, which gives me a huge list of packages for emerging. however, some of them have already installed. I hope this method is able to neglect the packages installed in my pc.
Thanks.