Just checking if anyone knows whether Anaconda Project has released TensorFlow 2.2 and above for macOS users? From my understanding, this version of TF exists for all platforms except Mac.
Thanks for the help
you have the option to check things like this on the anaconda website. Just go to https://anaconda.org/anaconda/tensorflow and you will see:
linux-64 v2.2.0
win-64 v2.1.0
osx-64 v2.0.0
so the newest version available for macOS from the anaconda channel is (currently) 2.0.0
Alternatively you can also always run
conda search tensorflow
to see which versions are available for your platform
Note
From my understanding, this version of TF exists for all platforms except Mac
From anaconda, yes, but you are definately able to find this version on pypi, i.e. use pip install to install it
Related
I am trying to find an install an old version of anaconda. I have been trying to find the windows 64 installer for the anaconda 4.6.11 version but didnt succeed.
Could anybody tell me where to find it?
Via link must be all previous versions installers available:
https://repo.anaconda.com/archive/
conda 4.6.11 = Anaconda 2019.03
Check for yourself: https://www.anaconda.com/blog/anaconda-2019-03-release
So you could use command conda install anaconda=2019.03
I have a anaconda installation with which I configured python 3.6, tensorflow 1.13 on windows 10. The installation works fine except when I try invoking cudnn code i.e conv2d and similar functions when I greeted with the following error: " E tensorflow/stream_executor/cuda/cuda_dnn.cc:324] Loaded runtime CuDNN library: 7.3.1 but source was compiled with: 7.4.1. CuDNN library major and minor version needs to match or have higher minor version in case of CuDNN 7.0 or later version. If using a binary install, upgrade your CuDNN library".
Which TensorFlow and CUDA version combinations are compatible?. From this post, I tried installing cudnn 7.4.1 on my desktop but looks like anaconda keeps using the default cudnn 7.3.1 only and does not reference the one pointed to by my path variables. Any help in terms of how I can force conda to use the cudnn 7.4.1 will be much appreciated.
I don't know if the original poster's problem had been resolved. Just in case someone has the same problem (as I did), one should try this first:
https://towardsdatascience.com/tensorflow-gpu-installation-made-easy-use-conda-instead-of-pip-52e5249374bc
Basically, it recommends you to directly conda tensorflow-gpu and let conda handles cudnn and cuda versions. At least afterward if you conda list it would list the updated (or more current) cudnn version.
But in my case, afterwards, I still had the same error. So I dug a little and found out it was from one of my other packages. You can search, under your anaconda folder, all occurrences of cudnn64_7.dll. For me, it's the mxnet-cu100 package that (even with the newest version) still uses the older cudnn dll. I simply copied the newer cudnn64_7.dll to that site-packages folder (with some risk I guess but at this stage, I had nothing to lose) and it solved the problem.
I want to install Julia 1.0.
I have Anaconda installed.
Information found:
In https://anaconda.org/conda-forge/julia, I see at the top of the page conda-forge / packages / julia 1.0.0. Therefore they have the latest version, released on August 8th. Below, one reads: Home: http://julialang.org/. Below the title "Installers", one reads linux-64 and osx-64. (No Windows version is mentioned). To install this package with conda run: conda install -c conda-forge julia. I am a Windows user, so I cannot install Julia 1.0 from Anaconda yet.
JuliaPro can be intalled for free from https://juliacomputing.com/products/juliapro.html.
Question:
For when they become available, what are the relative advantages of the following procedures?: (1) Install JuliaPro independently of Anaconda or (2) Install Julia 1.0 from Anaconda.
At the moment, your best bet is to download the official binary from https://julialang.org/downloads/. As far as I'm aware, the Anaconda version is more or less the same (i.e. it doesn't bundle any packages or IDE). Julia itself doesn't make use of Anaconda (it has its own package manager), so there is no real benefit to installing via Anaconda.
The new JuliaPro should be available in a few weeks, and will include a bundled IDE and pre-installed packages. Until then, you can manually install the Juno IDE yourself to work with the above build.
It seems that the OpenMDAO packages have been removed from binstar? I have tried the following:
conda search -c https://conda.binstar.org/OpenMDAO openmdao
and
conda install -c openmdao openmdao
both resulting in the following:
PackageNotFoundError: Packages missing in current channels:
- openmdao
We have searched for the packages in the following channels:
- https://conda.anaconda.org/openmdao/win-64
- https://conda.anaconda.org/openmdao/noarch
Was OpenMDAO Anaconda support removed or am I missing something?
Edit: Is this an incompatibility with win64 vs win32?
Edit 2: Yes that is the issue as outlined in their blog post:
Caveat: Thanks to a bug in Traits (we’ve put in a bug report and await a new version), we can’t currently support an Anaconda install on a Windows2012_64bit installation unless you’re using a 32-bit Anaconda installed on the 64-bit architecture. We will announce when that problem is resolved for our 64-bit Windows users.
As per Edit2. There is no update on 64-bit support that I can find.
Caveat: Thanks to a bug in Traits (we’ve put in a bug report and await a new version), we can’t currently support an Anaconda install on a Windows2012_64bit installation unless you’re using a 32-bit Anaconda installed on the 64-bit architecture. We will announce when that problem is resolved for our 64-bit Windows users.
I need to know How to install System Python 2.7 on my Mac. This is because, I unknowingly uninstalled it (I thought I was removing the Python I downloaded from Python.org)
I followed this Stack Overflow answer, and after the damage had been done, I read the comments telling me NOT TO do that.
The current reason I am wanting to install System Python 2.7 is because it is needed to install PyGame. Below is a screenshot of what I am facing when trying to install PyGame:
I recommend installing packages on OS X using Homebrew as it keeps everything you install in one place. Allowing you to upgrade or uninstall easily and not needing to remember how or where you installed it.
Once it is installed you simply type brew install python in your terminal. This will install Python 2.7.10 and it will be available at /usr/local/bin/python.
The only supported way to restore the system Python framework on macOS is to reinstall the operating system. It is treated as a component of the core operating system, so there is no way to selectively reinstall it.