I'm getting a Malformed version string error with my conda. I have no idea how to debug this or how to check it.
Can anyone help? GitHub has talked about the issue but I haven't seen any fixes.
-bash-4.1$ conda install -c bioconda pysam
Solving environment: failed
1. CondaValueError: Malformed version string '~': invalid character(s).
In response to the comment below:
(mage_env) -bash-4.1$ echo $PATH
/usr/local/devel/ANNOTATION/jespinoz/anaconda/envs/mage_env/bin:/usr/local/packages/jdk-8u121/bin/:/usr/local/bin:/usr/local/devel/ANNOTATION/rrichter/local/bin:/home/syooseph/utils/clustalw1.83:/usr/local/packages/gsl/bin:/usr/local/sge_current/bin/lx-amd64:/usr/lib64/qt-3.3/bin:/usr/kerberos/sbin:/usr/kerberos/bin:/usr/local/bin:/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/sbin:/usr/local/devel/ANNOTATION/jespinoz/anaconda/bin:/usr/local/devel/ANNOTATION/jespinoz/Dropseq/:/usr/local/devel/ANNOTATION/jespinoz/Dropseq/Drop-seq_tools-1.13/
(mage_env) -bash-4.1$ conda info
active environment : mage_env
active env location : /usr/local/devel/ANNOTATION/jespinoz/anaconda/envs/mage_env
shell level : 1
user config file : /home/jespinoz/.condarc
populated config files : /home/jespinoz/.condarc
conda version : 4.5.11
conda-build version : not installed
python version : 3.6.2.final.0
base environment : /usr/local/devel/ANNOTATION/jespinoz/anaconda (writable)
channel URLs : https://conda.anaconda.org/ursky/linux-64
https://conda.anaconda.org/ursky/noarch
https://conda.anaconda.org/bioconda/linux-64
https://conda.anaconda.org/bioconda/noarch
https://conda.anaconda.org/conda-forge/linux-64
https://conda.anaconda.org/conda-forge/noarch
https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/free/linux-64
https://repo.anaconda.com/pkgs/free/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
https://repo.anaconda.com/pkgs/pro/linux-64
https://repo.anaconda.com/pkgs/pro/noarch
package cache : /usr/local/devel/ANNOTATION/jespinoz/anaconda/pkgs
/home/jespinoz/.conda/pkgs
envs directories : /usr/local/devel/ANNOTATION/jespinoz/anaconda/envs
/home/jespinoz/.conda/envs
platform : linux-64
user-agent : conda/4.5.11 requests/2.14.2 CPython/3.6.2 Linux/2.6.32-696.18.7.el6.x86_64 centos/6.4 glibc/2.12
UID:GID : 3456:63
netrc file : None
offline mode : False
This looks like it was fixed with Conda 4.6.0. Upgrading your Conda should resolve the issue.
conda upgrade -n base conda
If you have trouble solving environment, I suggest trying
conda upgrade -n base -c defaults --override-channels conda
This will exclude all other channels during the solving process, and helps because having too many options to prune is one of the main reasons for slow solves.
I needed to remove conda-forge from my .condarc file. Then everything worked fine.
Had the same issue with conda 4.8.2 while I tried to create an environment from a yaml file.
loading a different, already existing environment and unloading it again did the trick in multiple occasions.
I got this error also when trying to install a package to a personal directory on an HPC, as in:
$ conda install -c dranew shapeit
Solving environment: failed
CondaValueError: Malformed version string '~': invalid character(s).
As a user of the HPC I'm not in control of the version of conda installed so had to find another solution.
This ended up working:
$ conda create --name shapeit -c dranew shapeit
or in generic terms,
$ conda create --name <packagename> -c <conda_channel_name> <packagename>
This tells conda to create an environment named packagename, then find the package in its channel (dranew for shapeit, bioconda for OP) and install it in that new environment.
I don't know if it makes a difference, but I ran this code when inside my .conda/envs directory.
Hope this helps someone else!
I had the similar problem
conda upgrade -n base conda
did pull the latest version but did not make the upgrade as I did not clear my previous install properly before installing latest anaconda.
Removing /root/anaconda3 ( default installation folder in my case ) &
removing /root/.conda & reinstalling the latest anaconda
Post that
conda upgrade -n base conda
would help you upgrade to 4.16+ version ( as of today, its latest )
One Additional Step which one must follow if they are importing env from one machine to this one:
remove specific version from conda package dependency, example here:
https://gitlab.com/mkuhring/TaxIt/-/commit/a8587e41bfff4c3362556c1c46d23d99ac3af069
Related
I use Mac machine to create a virtual environment for Python
conda create -n test_python3_9 python=3.9
and received these errors:
Solving environment: failed
CondaHTTPError: HTTP 404 NOT FOUND for url <https://repo.anaconda.com/pkgs/main/noarch/repodata.json.bz2>
Elapsed: 00:00.022309
CF-RAY: 73e768d0bbde964b-SJC
The remote server could not find the noarch directory for the
requested channel with url: https://repo.anaconda.com/pkgs/main
As of conda 4.3, a valid channel must contain a `noarch/repodata.json` and
associated `noarch/repodata.json.bz2` file, even if `noarch/repodata.json` is
empty. please request that the channel administrator create
`noarch/repodata.json` and associated `noarch/repodata.json.bz2` files.
$ mkdir noarch
$ echo '{}' > noarch/repodata.json
$ bzip2 -k noarch/repodata.json
You will need to adjust your conda configuration to proceed.
Use `conda config --show channels` to view your configuration's current state.
Further configuration help can be found at <https://conda.io/docs/config.html>.
conda version is conda 4.5.12
and the .condarc file content is:
ssl_verify: true
channels:
- defaults
mac version is: Catalina 10.15.7
Do not know how to fix this issue.
Can anyone helps on this?
Thanks,
Arthur
The file repodata.json.bz2 was uploaded to the repository https://repo.anaconda.com/pkgs/main/noarch at 2022-08-22 13:19:29 +0000. For now no need to update anaconda packages.
I've been struggling with exactly the same problem just few hours ago.
I had tried to change the conda channel(related to the repository) info in the conda configuration file, but it didn't work.
So I Just uninstalled the Anaconda and install the latest version of conda, it works.
If you visit the url 'https://repo.anaconda.com/pkgs/main/noarch' in the errors,
you can see that there is no 'noarch/repodata.json.bz2' file. I think this is the cause of the problem. Old conda version requires that file, but the conda repository does not support it anymore.
I am running OSX Catalina. After downloading Anaconda, I'm having trouble downloading external packages. I tried in both the GUI and the terminal, but the process keeps getting stuck at "Solving environment".
I understand creating a new environment can be a workaround, but I would rather fix the issue at hand.
Any ideas?
The following steps may work to resolve the issue.
conda config --remove channels conda-forge
conda config --add channels conda-forge
if it doesn't work then try this
conda update conda
if nothing works try seeing this github solution, it worked for many.
use this:
conda config --set channel_priority strict
pay attention that it is channel_priority and not priority_channel
running
conda config --set channel_priority flexible
worked for me
Update, still ran into some issues so I found Mamba, and oh my god my life changed conda is the worst package manager ever
all my issues were solved when I used mamba
# install mamba
conda install -n base conda-forge::mamba
# use mamba
mamba install pandas
Please, check that python is actually listed in environment.yml or conda create -n your_environment --file requirements.txt python=3.7.
Otherwise, conda is traversing all versions of python available.
Check that Python is listed.
for updated conda version over 4.12.0 'Libmamba' with advantages like:
Improve conda’s resolving speeds by 50-80%*
Maximize backwards compatibility so as to not break any current
functionality
Build the plugin infrastructure for others to create custom solvers
are mentioned in Anaconda's official blog post, A Faster Solver for Conda: Libmamba
so for making libmamba your default solver(make sure your conda version is 4.12):
conda install -n base conda-libmamba-solver
and to try it temporarily:conda create -n demo --experimental-solver=libmamba --dry-run install <some package>
It might be taking long because of package version conflicts. My solution was to install some packages using pip instead of conda install.
For example:
pip install tensorflow
Try this in a new environment so it doesn't mess up your existing ones.
conda config --remove channels conda-forge
conda config --set channel_priority flexible
This fixed the problem with the solving environment step. After that I was able to update packages (such as conda and anaconda) and sort out various dependency issues.
I've had this issue running macOS Monterey, with conda taking an age to solve the environment, failing, and causing immense frustration.
My first suggestion would be to install Mamba [1], of which you have two options. If conda does work, but just takes a long time, you can try
conda install mamba -n base -c conda-forge
If conda won't install anything at all, you can try uninstalling anaconda3 using conda install anaconda-clean, then anaconda-clean --yes, then rm -rf anaconda3,rm -rf ~/anaconda3 and rm -rf ~/opt/anaconda3. From there, download the Mambaforge .sh file [1], and run
bash ~/Downloads/Mambaforge-MacOSX-x86_64.sh
Follow the install, and treat mamba exactly how you would treat conda. Then it's simply a matter of selecting your interpreter in your IDE of choice! You'll find that mamba is way faster.
Failing this, you can try using which pip, and then pip install [your package]. I wouldn't advise this one for lots of packages, as you are essentially bypassing the dependancy check, however for small things, it should work fine. Try it, and uninstall it if you get any clashes. Happy fixing!
I had similar problems trying to install external packages such as graph-tools and I solved it by creating a new environment. I know you prefer other options but it's the only thing that worked for me.
I was having the same issue while creating my conda environment using environment.yml file.
conda env create -f environment.yml
My issue was fixed by updating conda and setting channel priority to strict:
conda update conda
conda config --set channel_priority strict
set conda-forge highest priority, remove defaults channel
conda config --add channels bioconda
conda config --add channels conda-forge
conda config --remove channels defaults
conda config --set channel_priority strict
make sure most your package from conda-forge, not defaults.
If it doesn't work, try
conda update --all
conda clean -a //use with caution
The following works for me.
Spin-off on https://github.com/conda/conda/issues/11919
Instead of waiting (maybe hours) to resolve SAT (A well-known NP-Complete problem) environment, it would be helpful for you to install the faster Conda resolver (https://www.anaconda.com/blog/a-faster-conda-for-a-growing-community). Just so you know, the resolver is not installed by default with Anaconda, so you need to install it manually.
sudo conda update -n base conda
sudo conda install -n base conda-libmamba-solver
conda config --set solver libmamba
Rerun conda install
conda install pytorch torchvision torchaudio pytorch-cuda=11.7 \
-c pytorch -c nvidia
I hope you find it useful.
you may also want to check your ~/.conda directory permissions. I installed conda on my MacOS using Homebrew and for some reason this directory had only read/write permissions for root. After changing the permissions and following the instructions from above, everything works smooth and fast now
upgrading conda base package has fixed it.
ref : https://docs.conda.io/projects/conda/en/latest/user-guide/install/rpm-debian.html
Sounds very simple but make sure you're in your environment
conda activate <Your Environment>
i had the same problem when i tried to install packages for my env i tried the conda env update -f environment.yml even doesn't worked (in yml file i have name: tf2 that i point to update my env still doesnt upgraded)
but now which i tried this it worked :d
conda activate tf2
conda env update -n tf2 -f environment.yml --prune
After some reading I found out the .condarc file is not created by default (is stated by the official Anaconda documentation. So what I did is delete de .condarc file and then used the following command
conda config --set channel_priority flexible
And then it got unstuck
Then I tried conda update conda just to test it, and everything worked again.
For other weary travelers: if you find conda taking hours to solve an environment, try install packages one at a time. Works like a miracle.
Another solution that may not have been mentioned is that the dependencies that you may want to install within your conda env are already installed.
Using conda-list within your env you may confirm.
With a package such as tethys platform they did not mentioned this and i was left wondering why my conda install process kept getting stuck at the solving stage. Late into the night bingo checked into my env and sure enough the dependencies where already installed. Now can progress to my next phase.
I faced the same issue for tensorflow and solved it by doing the next:
create new environment conda create -n tf tensorflow
moved to the new environemnt conda activate tf
downloaded my package there.
it worked and solved the issue, I think this happened due to not completing a previous install and got stuck in the middle.
Try installing ANACONDA3 2019-3.
I had similar issues but after installing the above version of anaconda they were all fixed.
Choose one:
Start fresh with a new Anaconda installation. Pay attention during
installation to make sure that your install path is a subfolder of
your home folder, such as /Users/me/anaconda3
Start fresh using the
.sh installer instead of the .pkg installer. This installer makes it
simpler to choose the destination path, and gives you more choice on
how you want your shell to behave.
check out the link for more details
This is another answer for environment failure, but for windows OS
This fixed the hang for me. Although the install went on to fail.
conda config --set priority_channel strict
I tried to update or install new packages from anaconda and lately, this message has appeared:
The environment is inconsistent, please check the package plan carefully
The following package are causing the inconsistency:
- defaults/win-32::anaconda==5.3.1=py37_0
done
I tried with conda clean --all and then conda update --all but it persists.
Conda Info
active environment : base
active env location : C:\Users\NAME\Continuum
shell level : 1
user config file : C:\Users\NAME\.condarc
populated config files : C:\Users\NAME\.condarc
conda version : 4.6.11
conda-build version : 3.17.7
python version : 3.7.3.final.0
base environment : C:\Users\NAME\Continuum (writable)
channel URLs : https://repo.anaconda.com/pkgs/main/win-32
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/free/win-32
https://repo.anaconda.com/pkgs/free/noarch
https://repo.anaconda.com/pkgs/r/win-32
https://repo.anaconda.com/pkgs/r/noarch
https://repo.anaconda.com/pkgs/msys2/win-32
https://repo.anaconda.com/pkgs/msys2/noarch
package cache : C:\Users\NAME\Continuum\pkgs
C:\Users\NAME\.conda\pkgs
C:\Users\NAME\AppData\Local\conda\conda\pkgs
envs directories : C:\Users\NAME\Continuum\envs
C:\Users\NAME\.conda\envs
C:\Users\NAME\AppData\Local\conda\conda\envs
platform : win-32
user-agent : conda/4.6.11 requests/2.21.0 CPython/3.7.3 Windows/10 Windows/10.0.17763
administrator : False
netrc file : None
offline mode : False
I had faced the same problem. Simply running
conda install anaconda
solved the problem for me.
saw this on Google Groups
This message was added in conda 4.6.9, previously there was no indication when conda detected an inconsistent environment unless conda was run in debug mode. It is likely that your environment was inconsistent for some time but the upgrade to conda made it visible. The best option it to run "conda install package_name" for the inconsistent packages to let conda try to restore consistency.
and it really works for me.
Maybe you should try conda install anaconda in your situation.
The inconsistencies are caused due to different versions of the packages, and their clashing dependencies.
conda update --all
This command updates all the packages, and then conda solves the inconsistency on its own.
Had this same problem and none of the other solutions worked for me. Ended up having to uninstall and reinstall conda, then reinstall all of my libraries.
Ultimate solutions:
conda activate base
conda install anaconda
conda update --all
Works on Windows 10 and Ubuntu 18.04 (credits to #MF.OX for ubuntu).
Removed following problems for me:
The environment is inconsistent
WARNING conda.base.context:use_only_tar_bz2(632)
If the other solutions don't work, reverting the environment can fix this.
Use conda list --revisions, pick a revision number, and use conda install --revision [#] going back step-by-step until everything works again.
Given a situation like the following,
> conda update -c intel --all
Collecting package metadata: done
Solving environment: |
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:
- intel/win-64::ipython==6.3.1=py36_3
- intel/win-64::prompt_toolkit==1.0.15=py36_2
done
As mentioned in other answers, the idea is to have some sort of re-installation to occur for the inconsistent packages.
Thus, with a few copy-&-paste's, you could:
> conda install intel/win-64::ipython==6.3.1=py36_3
Collecting package metadata: done
Solving environment: /
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:
- intel/win-64::ipython==6.3.1=py36_3
- intel/win-64::prompt_toolkit==1.0.15=py36_2
done
## Package Plan ##
environment location: c:\conda
added / updated specs:
- ipython
The following NEW packages will be INSTALLED:
jedi intel/win-64::jedi-0.12.0-py36_2
parso intel/win-64::parso-0.2.0-py36_2
pygments intel/win-64::pygments-2.2.0-py36_5
wcwidth intel/win-64::wcwidth-0.1.7-py36_6
Proceed ([y]/n)? y
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(and you would have to repeat for all the packages)
My “Shortcut”
Alternatively, cook up an (ugly) one-liner (this should work for Windows as well as other platforms)
Note: by "ORIGINAL_COMMAND", I'm referring to any command that gives you the error message (without any other side-effects, ideally)
<ORIGINAL_COMMAND> 2>&1 | python -c "import sys,re,conda.cli; conda.cli.main('conda','install','-y',*re.findall(r'^\s*-\s*(\S+)$',sys.stdin.read(),re.MULTILINE))"
Expanding the above one-liner:
from re import findall, MULTILINE
from sys import stdin
from conda.cli import main
main(
"conda", "install", "-y",
"--force", # Maybe add a '--force'/'--force-reinstall' (I didn't add it for the one-liner above)
*findall(r"^\s*-\s*(\S+)$", stdin.read(), MULTILINE) # Here are the offenders
)
I was getting an environment is inconsistent error when I tried to update my base conda environment. I'm using miniconda. Unfortunately, none of the answers above worked for me.
What did work for me was:
conda activate base
conda install conda --force-reinstall
conda install conda --force-reinstall
conda update --all
(Yes, for some reason it was necessary to run conda install conda --force-reinstall twice!)
The command conda install -c anaconda anaconda did the trick for me. For my setup, I need to specify the channel otherwise it would not work. After running the command in the terminal, I was prompted to update a list of packages that was found to be inconsistent. Without this step, I was not able to install or update any packages with conda install <package_name> or conda update <package_name respectively.
What worked for me was to
`conda remove <offending_packagename>`,
`conda update --all`
and then finally
`conda install <offending_packagename>`.
I had this problem for ages. The conda install anaconda might work, but it takes just way too long -- more than 24 hours on my machine.
Here is a solution that worked for me in under 5 minutes:
Remove all the unneeded packages -- being careful to leave the ones that are essential for conda to operate.
Then, use conda install anaconda.
But how?? there is a lot of them!
This is what I have done:
Make a fresh envinroment with python, fairly bare-bone. then, list the packages in there:
conda create -n fresh python
conda activate fresh
conda list
Save the output, you will need it.
1b. go back to the base envinroment:
conda deactivate
use the following snippet to generate a conda command that will remove all the inconsistent packages:
(good packages are)
exclusion_text = '''
_libgcc_mutex 0.1 main
_openmp_mutex 4.5 1_gnu
anyio 2.2.0 py39h06a4308_1
argon2-cffi 20.1.0 py39h27cfd23_1
async_generator 1.10 pyhd3eb1b0_0
...
... and more! get this from a good environment.
Note the usage of triple quotes (''') to use a multiline-string in python.
bad_packages_text = '''
- https://repo.continuum.io/pkgs/main/linux-64/networkx-2.1-py36_0.tar.bz2/linux-64::networkx==2.1=py36_0
- https://repo.continuum.io/pkgs/main/linux-64/spyder-3.2.6-> py36_0.tar.bz2/linux-64::spyder==3.2.6=py36_0
py36h4c697fb_0.tar.bz2/linux-64::jdcal==1.3=py36h4c697fb_0
- defaults/noarch::jupyterlab_server==1.1.4=py_0
- defaults/linux-64::argh==0.26.2=py37_0
...
... and more! get this by copy-pasting the "The following packages are causing the inconsistency." message.
then, in python, process this:
exclusions = [line.split(' ')[0] for line in exclusion_text_lines if line !='']
bad_packages_lines = bad_packages_text.split('\n')
bad_packages = [line.split('::')[1].split('==')[0] for line in bad_packages_lines if line!='']
exclusions.append('conda') # make sure!
exclusions.append('tqdm')
finally, construct the life-saving command:
command_line = 'conda remove '
for bad_package in bad_packages:
if bad_package not in exclusions:
command_line = f'{command_line} {bad_package}'
command_line
Since in solving the environment, all the packages on the remove list can be ignored, conda no longer needs to consider their versions, and the process is fast.
Possibly someone can refactor this method to make it easier -- or better yet, upgrade conda to enable quick reset base command.
This worked for me -- it took me longer to write this post than to execute these actions.
Good luck!
To those of us who have miniconda and can't/don't want to install anaconda: the accepted answer works when adapted.
conda install conda
conda update --all
Would have commented, but my rep is too low.
conda install anaconda
conda clean --all
conda update --all
fix the problem for me
To solve this message I had to run conda update --all in my base environment three times after each other.
Every time the number of inconsistent packages decreased until conda said:
# All requested packages already installed.
I'm on macOS Big Sur 11.6 using conda version 4.10.3.
In my case, none of the above worked. But this did the trick in less than a minute:
1- I downloaded again the lastest installer (miniconda in my case)
2- Run the installer with the -u option:
bash Miniconda3-py39_xxxx-Linux-x86_64.sh -u
3- Answer yes to all questions and let the installer finish
4- Then I could run conda update conda -all
Hope this helps...
You probably installed anaconda with python 2.7 but later you used python 3.x. Thus, you are getting an error message. In my case, I solved the problem by activating anaconda with python 2.7:
conda create --name py2 python=2.7
Try to have a look to the environment management
https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html
By using something along the lines
conda create --name astra python=3.5
conda activate astra
conda install -c astra-toolbox astra-toolbox
You can see that you can even specify target python version. Now play with the new packages installed. When unsatisfied, you can always do
conda deactivate
conda env remove -n astra
If you install everything to the base env and something gets broken, then probably better is not to install conda at all and go with default python managing it through pip.
In my environment.
1.
conda install anaconda
conda update --all
Then it works correctly.
I am trying to install pandas_datareader in Anaconda prompt by running the following command as per the official documentation:
conda install -c anaconda pandas-datareader
I am getting the error - "Solving environment : Failed" as shown below
I am connected to internet.
I found some links which said I needed to downgrade my Conda AND Python versions, so I tried that too, but it again says "Solving environment : Failed"
Also tried running the following command in Anaconda prompt,
pip install pandas_datareader
and it gave the error:
Could not find a version that satisfies the requirement pandas_datareader (from versions: )
No matching distribution found for pandas_datareader
Can someone please help here?
Config Details
Conda version : 4.5.12
Python version : 3.7
OS : Windows 10
PyPI Installation
The correct line for installing with PyPI is
pip install pandas-datareader
Note that the package name uses a hyphen (pandas-datareader), which is different from the underscore (pandas_datareader) that is used when importing.
Conda Installation
It's hard to answer this outright without more information. Other Windows 10 users who are behind proxies have reported the same error on Issue #764, which includes potential solutions.
Changing Python Version? No
I am skeptical that you would need to downgrade Python. You can easily test whether this is true without having to actually do it. Namely, if you really did need to change your Python version, then the following command would correctly solve the environment:
conda create --dry-run -n test-pd-dr anaconda::pandas-datareader
whereas this one would fail:
conda create --dry-run -n test-pd-dr python=3.7 anaconda::pandas-datareader
I expect they'd both fail. The first one attempts to create any environment with the only constraint being that it include pandas-datareader, whereas the second one additionally adds the constraint to use the same Python minor version you report. If they both fail, it's something else.
Also, changing Python versions is base env is risky (it can break your Conda if done incorrectly) and requires following specific directions from Anaconda.
Use the following command in Conda Prompt:
conda install -c anaconda pandas-datareader
I've installed both anaconda 2 and 3 in a Windows 64bit machine. I'm trying to install Tensorflow with anaconda as per the instructions here. However, I'm getting the following error while doing a pip install.
tensorflow-1.0.0-cp35-cp35m-win_x86_64.whl is not a supported wheel on this platform.
My anaconda info:
platform : win-64
conda version : 4.2.13
conda is private : False
conda-env version : 4.2.13
conda-build version : 1.20.0
python version : 2.7.12.final.0
requests version : 2.13.0
root environment : C:\Anaconda2 (writable)
default environment : C:\Anaconda2\envs\tensorflow
envs directories : C:\Anaconda2\envs
package cache : C:\Anaconda2\pkgs
channel URLs : https://repo.continuum.io/pkgs/free/win-64
https://repo.continuum.io/pkgs/free/noarch
https://repo.continuum.io/pkgs/pro/win-64
https://repo.continuum.io/pkgs/pro/noarch
https://repo.continuum.io/pkgs/msys2/win-64
https://repo.continuum.io/pkgs/msys2/noarch
config file : None
offline mode : False
I would really appreciate any help since I'm banging my head on this since last 8 hours.
Edit
I've removed Anaconda 2 and tried to install tensorflow again. Getting the same error. Please find the anaconda info.
platform : win-64
conda version : 4.2.9
conda is private : False
conda-env version : 4.2.9
conda-build version : 2.0.2
python version : 3.5.2.final.0
requests version : 2.11.1
root environment : C:\Users\Gramener\Anaconda3 (writable)
default environment : C:\Users\Gramener\Anaconda3\envs\tensorflow
envs directories : C:\Users\Gramener\Anaconda3\envs
package cache : C:\Users\Gramener\Anaconda3\pkgs
channel URLs : https://repo.continuum.io/pkgs/free/win-64/
https://repo.continuum.io/pkgs/free/noarch/
https://repo.continuum.io/pkgs/pro/win-64/
https://repo.continuum.io/pkgs/pro/noarch/
https://repo.continuum.io/pkgs/msys2/win-64/
https://repo.continuum.io/pkgs/msys2/noarch/
config file : None
offline mode : False
Explicitly use python 3.5 when you create your Anaconda environment. IE:
create -n tensorflow python=3.5
then run the following command to install tensorflow:
pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.1-cp35-cp35m-win_amd64.whl
Then you can successful do the Hello Tensorflow example from https://www.tensorflow.org/install/install_windows
Use python 3.5
conda create -n tensorflow python=3.5
I've encountered the same problem recently when trying to install tensorflow v1.0 on azure vm. None of anaconda versions worked for me.
So I decided to try upgrading tensorflow to v1.0 on my local pc to see if the error will be reproducible. This resulted in the same error (even though I've installed r0.12 successfully just couple weeks ago).
Reading tensorflow installation notes carefully I've noticed the following sentence:
The Anaconda installation is community supported, not officially
supported.
So I've decided to try python 3.5.2 from python.org and this worked immediately.
I believe the problem here is that the latest tensorflow version (1.0) does not work with anaconda yet.
Nevertheless if you still want to use anaconda you can try tensorflow r0.12, but keep in mind that doing so is not recommended and there were breaking changes from r0.12 to 1.0
Believe me I have survived it.
First, please ensure that your system is Win7 64Bit and your Python version is 3.5.2(64bit), I didn't try Python 3.5.
Second, don't believe Anaconda and PyCharm. Of course I know they can both be used to install packages. However, the packages installed by them can't be synchronized to cmd sometimes.
what I want to say is: Ensure the content of cmd is the same as the website of TensorFlow.
I wanted to upload more pictures to tell you how to do, but stackoverflow didn't allow it.
Details are shown as follows:
I had the same problem, I uninstalled Anaconda and installed python 3.5.2 from python.org and I was able to run Hello Tensorflow.
On Microsoft Windows, TensorFlow needs Python 3.5 64-bit. You seem to use Python 2.7.
Try this:
pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.1-cp36-cp36m-win_amd64.whl
It is the command that runs when you install with native pip. This change worked out for me