I am facing a platform reproducibility issue with NumPy. My development environment is in RHEL Linux and production is in PCF Cloud (Ubuntu).
below calculation is giving different result in RHEL and Ubuntu.
a=np.log(np.float32(0.042230162769556046)/np.float32(0.9577698111534119))
Result in RHEL: -3.1214728
Result in Ubuntu: -3.1214726
I see the floating point re producibility across platform is an issue. Any suggestions on how to handle this will be great help.
Related
So I am trying to make a virtual machine of a raspios-bullseye-arm64.
By using Qemu on my ubuntu 22.04 Lts x86_64, I was able to see the raspberry terminal.
I could not access to that VM because the default user and pw didn´t work. (but at least I know it launch)
So now my main goal was to get Cockpit to work and integrate the Cockpit-machines.
That part was easy and now I can make the amd64 machines without problem.
Now my goal is to get the arm64 machines to work with cockpit but I am not able to.
I don't know if it will be possible or I will have to get another machine with arm64 architecture to install the cockpit and have the arm64 and amd64 separated in two different machines.
Hope you guys can help me because nothing seems to solve my problem on my research.
I already tried to change the CPU configuration.
Also the boot order.
It keeps getting me the error of no bootable decive.
I am sure this is because of the difference of architecture.
I am trying to run Nvidia rapids on a windows computer but haven't had any luck. I have installed docker desktop for windows and downloaded the rapids image. Cuda 10.0 is installed, and Nvidia-container-toolkit isn't. I haven't been able to make it run. Any thoughts or guidance?
I'm not sure if anyone has given a more definite 'updated' answer to the original question. At this point (August 2020) the answer is "Yes!". You definitely can run RAPIDS in WSL2 on Windows 10 subject to a few conditions:
Requirements
You must use RAPIDS in the Windows Subsystem for Linux version 2 (WSL2);
Windows 10 Version
2004 (OS Build 202001.1000 or later)
You have to sign up to get Windows Insider Preview versions, specifically the Developer Channel. This is required for the WSL2 VM to have GPU access. https://insider.windows.com/en-us/
CUDA version 455.41 in CUDA SDK v11.1
You must be using a special version of the NVIDA CUDA drivers (I'm using )
that you must get by a special download from NVIDIA's site. You must
join the NVIDIA Developer Program to get access to the version
-- then search for 'WSL2 CUDA Driver' and it should lead you to it.
Setup
Install the developer preview version of windows. Make sure to click the check box in 'update' that installs other recommended updates too.
Install the windows CUDA driver from the NVIDIA Developer Program
Enable WSL 2 by enabling the "Virtual Machine Platform" optional feature. You can find more steps here https://learn.microsoft.com/en-us/windows/wsl/install-win10
Install WSL from the Windows Store (Ubuntu-20.04 confirmed working)
Install python on the WSL VM, tested with Anaconda
Install Rapids AI (It's best to install this right now before you have hundreds of other packages for 'conda' to try to self-consistently reconcile with the rapids dependency graphs -- you can always install additional python packages via pip or conda later.)
After doing this, if you launch ipython...
Python 3.8.3 (default, May 19 2020, 18:47:26)
Type 'copyright', 'credits' or 'license' for more information
IPython 7.17.0 -- An enhanced Interactive Python. Type '?' for help.
>>> import cuml
>>> cuml.__version__
'0.15.0'
>>> import cudf
>>> cudf.__version__
'0.15.0'
>>> import dask_cudf
>>> dask_cudf.__version__
'0.15.0'
>>> import cupy
>>> cupy.__version__
'7.8.0'
...and you're good to go with RAPIDS AI.
Update 9/6/20: The answer written by Wesley is accurate with the latest Windows Insider Preview with WSL2. Rather than revising this answer, I've just made the edits to his. https://stackoverflow.com/a/59364773/6779504
No. As it exists now, RAPIDS requires a Linux host. This came up in a recent workshop by NVIDIA. It was also mentioned that RAPIDS won't work with WSL. It may work with WSL version 2, but I haven't tried it nor am aware of someone that as.
The only option would if you could assign a GPU to a Linux VM on the Windows host. This possible but sufficiently complex that dual-booting is a better solution.
I have an OpenStack cloud system with 3 servers and two VMs on my compute node. Everything is working fine. I can reach all the nodes from the VMs and can ping internet from the VMs as well, this means, there is no connectivity issue at all. My problem is I want to run some loading balancing C codes on these VMs but I do not have C or C++ compiler. How do I install C compiler on these VMs or is there another way around this? Please note that these VMs were created using the recommended Ubuntu image and everything is working fine. Any help will be highly appreciated.
If you need a C/C++ compiler on your VM you can simply login and install it.
sudo apt install build-essential
Alternatively you can pre-install a compiler when building the standard image.
I have installed PyCharm Professional 2017.3.2 on my Windows 10 machine laptop, and configured it to use a Vagrant Ubuntu 16.04 Server (Virtualbox) VM running a conda environment as the remote interpreter. I am able to execute Python scripts using this environment, but figures do not get displayed. For instance, the example in https://www.jetbrains.com/help/pycharm/scientific-mode-tutorial.html returns with exit code 0 despite no figure being rendered by the plt.show() command. No errors are reported.
The backend given by matplotlib.get_backend() is module://backend_interagg. I have seen mention of setting DISPLAY or installing Xorg on the VM, but this seems to be from older posts when QT was used in the backend. Can anyone advise on how to get plots to show with a recent setup?
Trying to move my development environment to Linux. And new to Curl. Can't get it to install the IDE & RTE packages on an AMD HP PC running Ubuntu x64. I tried to install the Debian package via the package installer and get "Error: Wrong architecture - i386". Tried using the --force-architecture switch but it errors out.
I'm assuming Curl IDE will just run under Intel processors? Anyone have any luck with this issue and can advise?
It's been a while since I ran linux, but try looking for the x64 version. There are also x64 to x86 compatibility libraries available that should make 32 bit programs work for most situations.
The ubuntu forums are a much better place for this question, however.