As you can refer from this page Tensorflow is only supported till python 3.7 as of now.

'awaiting response' from me?

In any case, I would prefer subscribe to an issue than wait for the web page update.

@amitport I am going to close this issue and we will keep you updated once Tensorflow supports Python 3.8.

Are you satisfied with the resolution of your issue?
Yes
No

still, IMHO, python3.8 support should be an issue open for discussion/contribution/updates.

As you can refer from this page Tensorflow is only supported till python 3.7 as of now.

The page says 'python > 3.4' and then if you scroll down to 'Package Locations' you can see that there isn't one for 3.8, and I guess that means we're supposed to know to use 3.7 (or 3.6 for Windows)? Last I checked, both 3.7 and 3.8 are '> 3.4' so the documentation should probably reflect the version restrictions clearly.

Looks like there are also build issues with python 3.8.
Let's follow those up in https://github.com/tensorflow/tensorflow/issues/33543

And once all our dependencies release python 3.8 packages, we will quickly move to prepare ours.

so how install 3.7? i am on 3.8 now x.x

@nonoyek as gunan said. They're waiting for their dependencies to release python3.8 packages and then release their python3.8.

you can either wait (hopefully not long) or install python3.7 (if you asking how to do that, then this is not the correct place. try stackoverflow.com)

I have the same issue. Now I have both 3.7 and 3.8 installed, but it defaults to 3.8.

I've tried to uninstall 3.8 by removing the 3.8 folder in Applications and also in the Python.Framework directory, but it is still looking for that path and just doesn't find it.

How do I go back to 3.7?

@geoffreyhughes @nonoyek @amitport

TensorFlow currently not support python 3.7. but I have solved this issue (on windows 10) by using Python environments like virtualenv , conda.

first, you need to download python 3.5x or 3.6x >> https://www.python.org/downloads/
and install it to your machine. then you'll need to create a virtual environment with Python 3.6 or 3.5.
( virtualenv -p {path to python.exe(3.6)} {environment name} ) .

finally, check your python version with activating the virtual environment.

I was able to successfully build TF on windows with python 3.8.
However, grpcio still did not publish their python 3.8 package.
Therefore, we are blocked on their release for our python 3.8 release

FYI, these are the issues at grcpio: https://github.com/grpc/grpc/issues/20615 and https://github.com/grpc/grpc/issues/20831

I will reopen this issue until python 3.8 nightlies are out.

Are you satisfied with the resolution of your issue?
Yes
No

closed by accident... sorry

This is not limited to windows. Rolling linux distributions without the option to downgrade software packages are also facing the problem, especially with pip.

@georgebush422 @gowthamkpr should probably remove subtype:windows tag

Grpcio has released binaries for 3.8: grpc/grpc#20831. Do we have an estimate for when TF will be releasing?

That's great news. We can start working on it. The roadmap is to first release tf-nightly with support for Python 3.8 (that is, provide support on master branch) and only after that we will release a TF version for 3.8. That is, TF 2.1 will not support 3.8 (as we are already in the process of releasing it) but TF 2.2 most likely will.

I am on Arch Linux rolling release, I cannot install the any versions of tensorflow.
lol Do I have to change the OS ?, not worth it.

@debendraoli Install tensorflow using the Arch package.

@debendraoli please read previous messages on the issue. Support for python3.8 is not yet released but will be done in the next year.

@debendraoli Install tensorflow using the Arch package.

how to install tensorflow arch package on virtualenv?

Install it systemwide. Or use 3.7 in a virtualenv.

On Sun, Dec 29, 2019, 17:13 Thomas Yeun notifications@github.com wrote:

@debendraoli https://github.com/debendraoli Install tensorflow using
the Arch package.

how to install tensorflow arch package on virtualenv?

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Arch guys, please create a different issue, don't pollute this one

Python 3.8.0b1 Release Date: June 4, 2019
I guess Top5 most popular Github project could do better.
Please update this issue with the progress on scale from 0 to 100 with step size 10.

As we are a large project, we have to wait untill all our dependencies are
python 3.8 compatible. This also prevents us from being able to try with
the beta release, the release you mention. Grpcio only released a
compatible package in mid-December, and we only were able to make sure all
our build issues are resolved.
So, if you like you can build TF from sources for python 3.8 at the moment.

Nowadays, most of the team is on vacation. As we slowly come back from
holidays, we will set up nightly 3.8 builds sometime in January. Official
release with python 3.8 is planned in march, the 2.2 release. 2.1 was cut
before all python 3.8 issues were resolved.

On Mon, Jan 6, 2020, 12:34 PM Alexander Grigoryev notifications@github.com
wrote:

Python 3.8.0b1 Release Date: June 4, 2019
I guess Top5 most popular Github project could do better.
Please update this issue with the progress on scale from 0 to 100 with
step size 10.

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As others said, in the meantime, it would go a long way if you could fix the docs as currently, it could be hard for newcomers to figure out why pip install tensorflow yields since it is stated that the Python Requirement is python 3.4 or later.

ERROR: Could not find a version that satisfies the requirement tensorflow (from versions: none)
ERROR: No matching distribution found for tensorflow

@debendraoli you don't need to change OS, just use virtualenv.

@debendraoli you don't need to change OS, just use virtualenv.

As he mentioned, you don't need to change OS, you just need python 3.7. Try the following:

virtualenv --system-site-packages -p python3.7 DEST_DIR 

DEST_DIR is your destination directory. Make sure you have Python 3.7 installed. In my case, I installed it from the AUR.

As others said, in the meantime, it would go a long way if you could fix the docs as currently, it could be hard for newcomers to figure out why pip install tensorflow yields since it is stated that the Python Requirement is python 3.4 or later.

Great suggestion. Thank you for the feedback.
@lamberta Can we update our docs to say currently python 3.8 is not supported yet?

Sure. System requirements are in this doc: https://github.com/tensorflow/docs/blob/master/site/en/install/pip.html#L31

What should it say? Python 3.4-3.7 ?

@lamberta yes, and "3.8 soonish". This was were I also expected the docs to mention the requirements of Python supported. I'd advise the team to keep that updated, requirements being a fairly important thing :)

FYI, I built TF 1.15 with Python 3.8 myself at https://github.com/yaroslavvb/tensorflow-community-wheels/issues/139

Are you satisfied with the resolution of your issue?
Yes
No

Why was this closed? It is not resolved AFAIK (yes it can be built locally, but that's not the issue)

ERROR: Could not find a version that satisfies the requirement tf-nightly (from versions: none)
ERROR: No matching distribution found for tf-nightly
Doesn't work here either.

it was autoclosed by a commit. we are still aware that 3.8 binaries are not available.

@NIravMeghani this issue is still open, I would have been surprised if it did work

@NIravMeghani Your wheel link points to a tensorflow 1.8.0 macOS wheel that is not compiled for python3.8. There is no way this wheel could actually work :) Also this issue is about python3.8 support for tensorflow 2.x.

Look at https://www.tensorflow.org/install/pip#package-location for the latest possible wheels (Python 3.8 wheels are not yet available).

For now the easiest way is to build the wheel by yourself, takes possibly a few hours max.
Follow the instructions at https://www.tensorflow.org/install/source_windows
Additional potentially useful hints:

SET BAZEL_VC=C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC
SET BAZEL_VS=C:\Program Files (x86)\Microsoft Visual Studio\2019\Community
SET CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1
SET CUDA_TOOLKIT_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1

Also set set BAZEL_VC_FULL_VERSION=14.16.27023 for tensorflow 2.1 build regardless what the actual VC version is (any version works as long as it matches float(environ_cp.get('TF_VC_VERSION', '0')) >= 16.4). This is to ensure the build does not take a full day. Look at configure.py for the details.

Clone the tensorflow source from git, checkout the tag of your interest (2.1 is known to work, not sure about 1.15).

python configure.py
Optimization flags
/arch:AVX2

bazel build --config=opt --define=no_tensorflow_py_deps=true //tensorflow/tools/pip_package:build_pip_package

bazel-bin\tensorflow\tools\pip_package\build_pip_package C:/tmp/tensorflow_cuda_10_1

until 2.2 is released, pip install tensorflow will not work with python 3.8
Please see https://github.com/tensorflow/tensorflow/issues/33374#issuecomment-571074915

@mihaimaruseac , Please consider these changes in #1435 for doc correction till python 3.8 is not supported and review PR.

Release date for a new version tensorflow that works on Python 3.8?

So only downgrading to 3.7 or lower is the solution?

For now there are 2 solutions: use Python 3.7 or compile from source.

TF 2.2 will have python3.8 support.

What about tf-nightly?

We have some issues on Linux CPU where tf-nightly has been broken these past few days. Once they are resolved we can restart the process of building 3.8 nightlies and it should be at most 2-3 days after that.

So, hopefully by mid February we can release 3.8 nightlies.

@mihaimaruseac Any ETA on TF 2.2? Weeks? Months?

Edit: I should read more carefully, thanks!

So, hopefully by mid February we can release 3.8 nightlies.

@martinwicke @ewilderj do we have our release roadmap published externally?

Looks like a 3.8 wheel is now available for Linux:

@ErikBjare @gunan I guess this is something like a roadmap? https://github.com/orgs/tensorflow/projects/8#card-32797473

@harahu Yes, those are the issues that should be solved before TF2.2 gets released.

@beojan (and others): Yes, nightly now has py3.8 support and TF 2.2 will also have this. However, note that this will be for Windows and Linux for now. MacOS support is supposed to arrive in the upcoming weeks, hopefully before the TF 2.2 final release (it's an upstream issue, not something we can fix at the moment).

Curious. Tried today pip install tf-nightly on Windows with Python 3.82 x64 and get this message:
ERROR: Could not find a version that satisfies the requirement tf-nightly-gpu (from versions: none)
ERROR: No matching distribution found for tf-nightly-gpu

Curious. Tried today pip install tf-nightly on Windows with Python 3.82 x64 and get this message:
ERROR: Could not find a version that satisfies the requirement tf-nightly-gpu (from versions: none)
ERROR: No matching distribution found for tf-nightly-gpu

Not yet published for Windows:
https://pypi.org/project/tf-nightly/2.2.0.dev20200307/#files

Is anyone working on this issue? I see no progress with the Windows Version. Any possibilities to put priority on it? Like using Patreon or other Donation sites? Else would start fixing it myself in case it stays open for the next few months :)

@NickDinges It's likely part of the 2.2.0 release.

Current option is to compile it manually: Windows, Python 3.8 and CUDA 10.1 is known to work with the latest r2.2 branch and v2.2.0-rc0 tag. Unfortunately without TensorRT and XLA support.

2.2.0 release should have python 3.8

Correct.
Tf nightlies and 2.2.0 rc0 both have python 3.8 support. Except for macos,
which is due to some issues we are having updating our mac cloud.

On Sat, Mar 14, 2020, 8:47 AM Mihai Maruseac notifications@github.com
wrote:

2.2.0 release should have python 3.8

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Yes, just curious while there is still no image.

https://pypi.org/project/tf-nightly/2.2.0.dev20200307/#files

@NickDinges this seems like a bug on our side

Hi all, I am on a mac catalina with python 3.8. What should I do? Should I compile from source, wait for the new release or downgrade to python3.7?

@NickDinges py38 pips for 2.2.0-rc0 will get uploaded shortly. Also, we have a fix in progress for the nightly pips for windows/py38.

@lucaturchet If in rush, downgrading to py3.7 will allow you to pip install. Otherwise, you can try compiling from source or waiting until 2.2 final release

@mihaimaruseac thanks a lot. Could you please provide an estimate of when you foresee to release the support for 3.8? Just to have an idea

A few weeks. We already have rc0 for 2.2

@NickDinges Python 3.8 pips uploaded to tf-nightly-gpu and tf-nightly-cpu for Windows and Linux. From tomorrow all these will also be uploaded to tf-nightly

Awesome! Thanks :-)

Just checked, all files are updated except those needed for windows ;-(

tf-nightly, tf-nightly-cpu, and tf-nightly-gpu all have linux and windows python 3.8 packages.

Probably you checked before they got uploaded

Yes. Works now. The windows image was 5 hours later than the other images :-) Didnt expect that :)

Does it really work? Please help how to install.
My attempt: pip install tensorflow has brown the same as one month ago:

"Could not find the version that satisfies the requirement tensorflow..."

Yes. you have to use "pip install tf-nightly-gpu"

Yes. Thanks.
I tried to execute the simple CV code:

import imageai
from imageai.Detection import ObjectDetection
import os

execution_path = os.getcwd()
detector = ObjectDetection()
detector.setModelTypeAsYOLOv3()
detector.setModelPath(os.path.join(execution_path, "yolo.h5"))
detector.loadModel()
detections = detector.detectObjectFromImage(input_image = os.path.join(execution_path,
                                                                "input.jpg"), output_image_path =
                                                                os.path.join(execution_path, "output.jpg"),
                                                                minimum_percentage_probability = 30)
for eachObject in detections:
    print(eachObject["name"], " : ", eachObject["percentage_probability"],
            " : ", eachObject["box_points"])
    print("_", x10)

Anyway I still have a problem with Tensorflow:

Traceback (most recent call last):
detector = ObjectDetection()
...\imageai\Detection\__init__.py", line 88, in __init__
    self.sess = K.get_session()
...\keras\backend\tensorflow_backend.py", line 378, in get_session
    raise RuntimeError(
RuntimeError: `get_session` is not available when using TensorFlow 2.0.

May be approach in my code is obsolete.

Check this: https://stackoverflow.com/questions/58255821/how-to-use-k-get-session-in-tensorflow-2-0-or-how-to-migrate-it

tf_nightly_gpu-2.2.0.dev20200315 is still expecting cuda 10.1 not 10.2

@keke8273 I don't think cuda 10.2 will be supported in TF 2.2.

If you already have installed the latest nvidia drivers and cuda, consider adding 10.1 cuda as a manual download and adjusting the paths. Latest nvidia drivers work with older cuda versions.

See https://twitter.com/ahtik/status/1238079762758807554 for some hints.

Except for macos, which is due to some issues we are having updating our mac cloud.

@gunan Is there an issue number for this that can be followed?

Please don't derail the thread with other issues. CUDA 10.2 is not the focus of TF 2.2 (though you should be able to compile from source).

@alanjcastonguay it is an internal issue unfortunately, so no public issue number. We will update this thread when all versions will have py38 releases

Yes. you have to use "pip install tf-nightly-gpu"

Do i have to update pip or something ? I'm still getting the same error. At this point it might be me trying to use python for the first time...

Yes you have to update pip.

On Mon, Mar 16, 2020, 10:04 Iluvalar notifications@github.com wrote:

Yes. you have to use "pip install tf-nightly-gpu"

Do i have to update pip or something ? I'm still getting the same error.
At this point it might be me trying to use python for the first time...

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I'm currently setting up a new clean Windows 10 OS and am getting this error with the latest default build of Python 3.8.2. The OS is update to date for all Windows updates.

Both options still have an error:

pip install tensorflow
pip install tf-nightly-gpu

Both still error:

ERROR: Could not find a version that satisfies the requirement tensorflow (from versions: none)
ERROR: No matching distribution found for tensorflow

Does anyone know of helpful build instructions to work around this issue or is there anything I can provide from my system that might help?

According to https://github.com/tensorflow/tensorflow/issues/33374#issuecomment-599226072 we only have nightly pips at the moment with python3.8

Can you try any of those packages? Also, make sure you have pip upgraded (pip install --upgrade pip setuptools) and that your CPU supports AVX

@ConradSollitt , "works for me". Both for tensorflow and tf-nightly-gpu pip.

C:\Users\ak>\python38\python.exe -m venv \arx\tf2-2.2rc
C:\Users\ak>\arx\tf2-2.2rc\Scripts\activate

(tf2-2.2rc) C:\Users\ak>python -VV
Python 3.8.2 (tags/v3.8.2:7b3ab59, Feb 25 2020, 23:03:10) [MSC v.1916 64 bit (AMD64)]

tf-nightly-gpu

(tf2-2.2rc) C:\Users\ak>pip install --no-cache-dir tf-nightly-gpu
Collecting tf-nightly-gpu
  Downloading tf_nightly_gpu-2.2.0.dev20200319-cp38-cp38-win_amd64.whl (400.0 MB)

tensorflow

(tf2-2.2rc) C:\Users\ak>pip install --no-cache-dir tensorflow
Collecting tensorflow
  Downloading tensorflow-2.2.0rc1-cp38-cp38-win_amd64.whl (459.1 MB)

tensorflow-gpu

(tf2-2.2rc) C:\Users\ak>pip install --no-cache-dir tensorflow-gpu
Collecting tensorflow-gpu
  Downloading tensorflow_gpu-2.2.0rc1-cp38-cp38-win_amd64.whl (460.3 MB)

EDIT: I was a bit quick with the conclusion, tensorflow-gpu installation fails after a few minutes with

ERROR: Could not find a version that satisfies the requirement tensorflow-gpu-estimator<2.3.0,>=2.2.0rc0 (from tensorflow-gpu) (from versions: 2.1.0)
ERROR: No matching distribution found for tensorflow-gpu-estimator<2.3.0,>=2.2.0rc0 (from tensorflow-gpu)

Oh, there shouldn't be any tensorflow-gpu-estimator. Thanks for catching that. We will have to fix by the final release

@mihaimaruseac and @ahtik Thanks for taking time to help, it works now! 👍

Normally I would use python --version to check version but now realize I need to probably use python -VV in most cases. I used the default download link for Windows from the main Python site and ended up installing 32-bit.

Once I installed 64-bit build of Python it worked to install. Then after downloading the latest Visual Studio C++ Redistributable I was able to run a previous image classification server that I had created.

Seems like there is opportunity to improve the following error messages in pip and I see that there is at least one issue open at https://github.com/pypa/pip/issues/6526

ERROR: Could not find a version that satisfies the requirement {package} (from versions: none)
ERROR: No matching distribution found for {package}

Regardless that is not a TensorFlow issue though

Hi,

I have downloaded the anaconda and created a virtual env with python 3.8.2 . am not able to install tensorflow 2.1.0 in 3.8.2 env.
is it still the issue in 3.8.2 python for Tensorflow ? or it fixed ?
how i can install Tf 2.1.0 in python 3.8.2

TensorFlow 2.1 is NOT released on Python 3.8
TensorFlow 2.2 WILL BE released on Python 3.8

@amrithadevadiga
Iterating on what was already said, it's still not available, it will be!
As an advice, always try to catch/read the thread before posting...

TF 2.2.0-rc2 has been released and Python 3.8 wheels are available to install. https://pypi.org/project/tensorflow/2.2.0rc2/#files

Are you satisfied with the resolution of your issue?
Yes
No

@mihaimaruseac
Any hopes for a Mac release?

TF 2.2.0-rc2 has been released and Python 3.8 wheels are available to install. https://pypi.org/project/tensorflow/2.2.0rc2/#files

Is this production ready? I can't say so! Then why closing the issue? Are you guys done? Do you have the specific date of final? Stop wasting our time please, py38 is over a year here. For anyone else: please shut up and stop derailing the issue until it's over.

Sorry, closed by mistake. Reopening.

We publish the RCs for two reasons: so people can test early and identify major regression (since we only do patch releases for security reasons) and so that people who want to be on the bleeding edge and don't want to compile from source can still get access to pips compiled on new infrastructure. RC versions can be specified during pip install.

Furthermore, once RC versions are released, you can be sure that a final version is at most a few weeks ahead, depending on how many regressions are identified in an RC. We are in RC2 and it's likely that the release happening this week will be a final release.

@j-pb: unfortunately the upstream team has been unresponsive in providing support for building on MacOS. We will probably have to go ahead without a 3.8 release on MacOS now and upload the pips for python 3.8 at a later time when the upstream issues get solved

@mihaimaruseac Aight! Thanks for the heads up :)

pip install tensorflow==2.2.0rc2
ERROR: Could not find a version that satisfies the requirement tensorflow==2.2.0rc2 (from versions: none)
ERROR: No matching distribution found for tensorflow==2.2.0rc2

@acegilz It's useful to comment with the OS and exact steps taken to get to this error.
pip install tensorflow==2.2.0rc2 does work fine for both Ubuntu and Windows 10, using 64-bit Python 3.8. Output from python -VV can help you pinpoint the issue.

@acegilz Are you sure you are on python 3.8 and not 3.8.2?
pip install tensorflow==2.2.0rc2 works on 3.8 but won't on 3.8.2 I had to add a virtual env with a plain 3.8.0 installation for it to work.

That is very surprising. The packages for 3.8 should work for all patch
releases.

@constantinexisc It should work with both 3.8 and 3.8.2. It's not clear which OS @acegilz is using, but at this point there are no python 3.8 wheels available for MacOS.

Linux and Windows should work fine, https://pypi.org/project/tensorflow/2.2.0rc2/#files

Well that's weird. I'm on windows 10 insiders so I won't bother figuring why exactly my 3.8.2 installation didn't work with 2.2.0rc2, working fine on 3.8 now.

@constantinexisc Most likely the culprit is 64 vs 32 bit python version. Could you check both python binaries by running corresponding python.exe -VV and comparing the results? TF 2.2.0rc2 Windows wheels are only available for 64 bit Python.

I'll be damned you are right! The 3.8.2 is the 32bit version. How did I install a 32bit python.. my eyesight needs some work. Thanks for clearing it up 😅

RC3 is out and has py3.8 pips for all 3 operating systems

Can someone with an older macos installed verify our mac images?
We had to build on macos catalina, therefore, we want to make sure they are ok on older versions before we release final.

Ubuntu 20.04 will ship with Python 3.8.x (possibly 3.8.2), so this means you can't install tensorflow on it yet.

@fcole90 that's not completely true. First, you can always use a virtualenv with another python. But also later this week or early next week we'l release tf 2.2 final that would work with Python 3.8

Yes, of course I meant with the shipped python. I installed myself a 3.7 in a virtualenv as well. BTW, great to hear that you're going to release that version soon 😃

Confirmed that I could "import tensorflow" with MacOS 10.14.6 and Python 3.8.2

(venv) ➜  src sw_vers
ProductName:    Mac OS X
ProductVersion: 10.14.6
BuildVersion:   18G4032
(venv) ➜  src pip list | grep tensorflow
tensorflow             2.2.0rc3   
tensorflow-estimator   2.2.0rc0   
WARNING: You are using pip version 19.2.3, however version 20.0.2 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
(venv) ➜  src python
Python 3.8.2 (default, Mar 11 2020, 00:28:52) 
[Clang 11.0.0 (clang-1100.0.33.17)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow
>>> 

@jontignis thanks for verifying.

In rc4, the pip package still declares support for 2.7 (contrary to what docs say), but not 3.8:

 # PyPI package information.
    classifiers=[
        ...
        'Programming Language :: Python :: 2',
        'Programming Language :: Python :: 2.7',
        'Programming Language :: Python :: 3',
        'Programming Language :: Python :: 3.4',
        'Programming Language :: Python :: 3.5',
        'Programming Language :: Python :: 3.6',
        'Programming Language :: Python :: 3.7',
        'Topic :: Scientific/Engineering',
        ...
    ],

Is there any hope that final release will support 3.8?

@mjmikulski 2.x drop and 3.8 intro was pushed in the beginning of Mar (https://github.com/tensorflow/tensorflow/pull/37384) and should be part of 2.2 release. These classifiers are just for metainfo, you can already today use rc4 Python 3.8 wheels on all the supported platforms (https://pypi.org/project/tensorflow/2.2.0rc4/#files) either with CPU or with CUDA 10.1. CUDA 10.2 requires manual build, is known to work at least with Linux and Windows.

@mihaimaruseac any ideas why https://github.com/tensorflow/tensorflow/pull/37384 is not merged into the r2.2 branch?

@ahtik: there was no PR to cherry-pick. On it

39188 should fix

YEAH!! This was fixed in TensorFlow 2.2.0 which was released 11 hours ago.

And now we can finally close this. Apologies for the long time until the final release.

Are you satisfied with the resolution of your issue?
Yes
No

God bless. Please make following releases quicker.

We prefer to not release it if we find there are issues. Sometimes that makes for a longer wait.

I still can't install tensorflow on windows 10 (64bit -2004 ) python 3.8.2 by running

pip install tensorflow

It returns this error:
ERROR: Could not find a version that satisfies the requirement tensorflow (from versions: none) ERROR: No matching distribution found for tensorflow

I also tried using this command:

python -m pip install --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-2.2.0-cp38-cp38-win_amd64.whl

Which also didn't work and returned this error:
ERROR: tensorflow_gpu-2.2.0-cp38-cp38-win_amd64.whl is not a supported wheel on this platform.

What'd I do now?

@Prottoy2938 Does python -VV confirm you're using python v3.8.2 AMD64/64-bit? It does sound like a 32 vs 64 bit python binary issue.

pip --version # Linked to Python 3.8 or to legacy Python?
pip3 --version # Linked to Python 3.8?

python3.8 -m pip install tensorflow

py --version # if Python 3.8 then
py -m pip install tensorflow

@cclauss Often python --version is not useful as it does not show the 32 vs 64 bit build info, which causes problems all the time because of the way python.org Download site at https://www.python.org/downloads/ defaults to the 32-bit Windows installer without even warning about being a 32-bit. python -VV shows both the version and 32 vs 64 bit info.

@ahtik , python -W returns

Python 3.8.2 (tags/v3.8.2:7b3ab59, Feb 25 2020, 22:45:29) [MSC v.1916 32 bit (Intel)]

And my device's processors:
intel(r) core(tm) i5-6200u cpu @ 2.30ghz 2.40ghz

@Prottoy2938 There you go :) Replace your a 32-bit python with a 64-bit version and it's good to go. Tensorflow does not support 32-bit architecture. i5-6200u would be fine.

I couldn't install it. when I run python3.8 -m pip install tensorflow I get this error >> ERROR: Could not find a version that satisfies the requirement tensorflow (from versions: none) ERROR: No matching distribution found for tensorflow

@AsmaTidafi python -W? Please read messaged above, in case solution is present

@mihaimaruseac

Python 3.8.0 (default, Nov 12 2019, 19:43:25)
[GCC 5.4.0]

Operating system? CPU version and architecture? pip --version? pip3 --version? I would recommend opening a new issue and filling in issue template, after making sure that the solution presented here does not apply:

1. check that your CPU supports 64 bit binaries and AVX
2. check that your Python is on 64 bits
3. check that pip is updated to the latest version

@AsmaTidafi Also try python -VV or in your case likely python3.8 -VV. I used that after help from @mihaimaruseac and other's here and realized I was running a 32-bit Version of Python on 64-Bit Windows when I had last setup a new computer. The default Python download link for Windows users is 32-bit so it's easy to make the mistake during setup; luckily if that's the case it's easy to uninstall and then re-install the 64-bit version.

1.All the above methods dont work.When i type tensorflow --version,shows no module 'tensorflow'.
NameError Traceback (most recent call last)
in
----> 1 tensorflow --v

NameError: name 'tensorflow' is not defined
although on pip install tensorflow shows requirement satisfied

• python3 --version
• python3 -VV # Vee-Vee, not W
• python3 -c "import tensorflow ; print(tensorflow.__version__)"

Hi Thank you for your reply but actually when i run it shows python-3 is
not defined.
please look as to how can I download tensorflow i tried everything

On Wed, Jul 8, 2020 at 12:45 PM Christian Clauss notifications@github.com
wrote:

>

• python3 --version
• python3 -W
• python3 -c "import tensorflow ; print(tensorflow.version)"

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Are you on Linux, macOS, or Windows?

If Windows, use py instead of python3 in the examples above.

If on Linux or macOS, try which -a python3 ; which -a python

Nope same error
python3 -c "import tensorflow ; print(tensorflow.version)"
error:

File "", line 1 py -c import
tensorflow ^SyntaxError: invalid syntax

On Wed, Jul 8, 2020 at 12:54 PM Christian Clauss notifications@github.com
wrote:

Are you on Linux, macOS, or Windows?

If Windows, use py instead of python3 in the examples above.

If on Linux or macOS, try which -a python3 ; which -a python

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You must have forgotten the quotes on the statement above.
What was the result of py -VV ?

@Aanyajain
Try python3 -c 'import tensorflow as tf; print(tf.__version__)'

Did you try and first install tensorflow? Full syntax from CLI: python3 -m pip install tensorflow

@cclauss I think there might be an issue with * vs _ characters is related to markdown formatting. I just used the code formatting to update the command so it can be correctly copied and pasted.

Yes sir i tried it it shows error:

File "", line 1 python3 -m pip
install tensorflow ^SyntaxError: invalid syntax

On Wed, Jul 8, 2020 at 3:07 PM Conrad Sollitt notifications@github.com
wrote:

@Aanyajain https://github.com/Aanyajain
Try python3 -c 'import tensorflow as tf; print(tf.__version__)'

Did you try and first install tensorflow? Full syntax from CLI: python3
-m pip install tensorflow

@cclauss https://github.com/cclauss I think there might be an issue
with * vs _ characters is related to markdown formatting. I just used the
code formatting to update the command so it can be correctly copied and
pasted.

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@Aanyajain
Sounds like you might have an issue with your Python setup; looks like the python or python3 command runs a version of ipython on your local machine. Can you try the following and report back?:

1) Create File: tf_ver.py
~
import tensorflow as tf
print(tf.__version__)
~

2) Then run:
python tf_ver.py' orpython3 tf_ver.py'

Hello sir I have a new problem I cant run any cmd in jupyter notebook as it
is not getting connected like the symbol on top just breaks when I run any
Command.Can you please help.Its not working I dont know what to do I
searched everywhere on net nothing yet.If it gets connected then Ill
probably try to run what you just sent.
Please help Im direly in need of it.

On Wed, Jul 8, 2020 at 3:41 PM Conrad Sollitt notifications@github.com
wrote:

@Aanyajain https://github.com/Aanyajain
Sounds like you might have an issue with your Python setup; looks like the
python or python3 command runs a version of ipython on your local
machine. Can you try the following and report back?:

1. Create File: tf_ver.py

import tensorflow as tf
print(tf.__version__)

1. Then run:
   python tf_ver.py' or python3 tf_ver.py'

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@Aanyajain please open a new issue. In this case, it seems your system is in a bad state, not an issue of TensorFlow. We recommend StackOverflow for questions related to the operating system setup.

Edit: Locking this conversation as the original issue has been resolved and there are many people subscribed to this. We don't want all of them to be notified for every additional issue. Please open new issues, filling in issue template as that would make debugging much easier.