I've just installed the latest version of Anaconda for Windows x64 with Python 3.8 and would like to add the tensorflow module.
According to this website, tensorflow 2.2.0 should be available.
However, my Anaconda only suggests tensorflow 2.1.0 and fails to install it because it's not compatible with Python 3.8.
How can I install tensorflow 2.2.0?
If you installed tensorflow2.1 using Conda it automatically installed cudnn 7.6.5 and CUDA Toolkit 10.1.243. These are compatible with tensorflow 2.2. Then use pip to install tensorflow 2.2 as shown below
pip install tensorflow ==2.2.0
Conda at this time can only install tensorflow up to 2.1 that is why you have to use pip. pip does not automatically install cudnn or the Cuda toolkit but you already have them installed when you install version 2.1 with Conda. Otherwise you would have to go through a more complicated process to manually install cudnn and the toolkit. Some people have reported problems using python 3.8 with tensorflow. If you run into that create as seperate environment and install python 3.7, tensorflow 2.1 using conda, the tensorflow 2.2 using pip.
For this you might want to downgrade the Python to v3.7.
It is always a good practice to run TensorFlow in the lower-tested version of python. (Thats what I do.) And it just works as good as it would run in Python 3.8.
For this you might use the virtual environment using.
Create using:
conda create -n env_name python=3.7
And then just activate using:
conda activate env_name
And to install TensorFlow 2.2 just run:
pip install tensorflow==2.2.0
And once you are done, run:
conda deactivate
AnjaM,
I faced same problem. The other Conda page here still reports that their latest TF for Windows is 2.1.0. See screenshot below.
It may be a matter of days but I personally got tired of waiting and installed TF 2.3.0 with pip. 2.1.0 was throwing errors where 2.3.0 would work fine.
Tips for installation:
do it in separate virtual environment
install all other needed packages fist and then install TF with pip
when updating other packages - don't let conda to downgrade TF.
I was having the same problem.
So, I installed tensorflow-gpu==2.2.0 with 'pip'.
then installed cudann = 7.6.5 and cudatoolkit==10.1.243
pip install tensorflow-gpu=2.2.0
conda install cudatoolkit==10.1.243
conda install cudnn==7.6.5
You need to add conda-forge as one of the package sources with this command:
conda config --add channels conda-forge
Once you do this, just update the package index and you'll be able to see the latest versions of all packages.
I would like to know if anyone knows how can I install tensorflow==2.0.0-alpha0 in a conda enviroment using python 3.7. Is it possible to use python 3.7 or do I have to downgrade to 3.6. Either way what is the command I need to use because the following don't find any package
conda install tensorflow==2.0.0-alpha0
conda install tensorflow
conda install tensorflow=2.0.0-alpha0
I am using fedora 29 and conda 4.6.8
Thanks!
TENSORFLOW 2.0 release version is out!
Since 01/10/2019 I'm not talking beta but the release version.
Using Anaconda
Since 01/11/2019 Anaconda is supporting the Tensorflow 2.0.0.
Option 1: For what the easiest way is just:
conda install tensorflow or conda install tensorflow-gpu
For the gpu mode, anaconda will take care of all the CUDA everything you need to install for the tensorflow gpu mode to work so I strongly recommend using this method.
The only issue with this method is that anaconda might not have the last last version of TensorFlow. For example, at Feb 21 2021, conda has the version 2.3 whereas the PIP version is 2.4. You can check the current version of gpu or cpu.
Option 2 (virtual env): It is strongly recommended to use an environment on where to install tensorflow, for which you need the following command that will create an environment first and then install tensorflow within:
CPU: conda create -n <your_env_name> tensorflow
GPU: conda create -n <your_env_name> tensorflow-gpu
Change <your_env_name> by a meaningful name like tf-2
To use tensorflow run first conda activate <your_env_name>
Using pip
Using pip the tensorflow official instructions are quite complete.
Just install tensorflow using pip like:
# Current stable release for CPU-only
pip install tensorflow
I yet recommend before doing everything to install tensorflow in a new environment so the 3 steps would be (with anaconda):
conda create --n <our_env_name> pip
conda activate <your_env_name>
pip install tensorflow
Now for the GPU version it's harder with pip, I recommend you this link that explains the extra things you need to install (CUDA and others).
It could be the case that the package version you want is not available in conda-forge. What you could do is install packages with pip in your conda environment.
pip install tensorflow==2.0.0-alpha0
Also the requirements don't state python 3.7, you can try your luck or downgrade to python 3.6.
You can now install TF2 for Python 3.7 using conda. You can run the usual
$ conda install tensorflow=2.0 python=3.7
or
$ conda install tensorflow-gpu=2.0 python=3.7
for the GPU version.
My preferred approach however would be to manage the dependencies using an environment.yml file. You can find examples of how to do this for TF2 and dependencies in these template repos that I created on GitHub.
https://github.com/kaust-vislab/tensorflow-cpu-data-science-project
https://github.com/kaust-vislab/tensorflow-gpu-data-science-project
The problem is in conda install tensorflow.
conda does not have tensorflow. You will require to install tensorflow using pip. You do not need to downgrade your Python. It will work with Python 3.7.
Use this
$ pip install --upgrade tensorflow==2.0.0-beta0
Since the beta0 version is released, I mentioned that. You can choose other tf version.
I recommend going through this post on TowardsDataScience: Step-by-Step Guide to Install Tensorflow 2.0.
This post covers installation steps with conda.
You might want to take a look at this link: https://pypi.org/project/tf-nightly-2.0-preview/#files to see which python version and OS supports your package
I tried to install tensorflow v2 with conda install tensorflow or conda install tensorflow-gpu only to get lots of incompatible dependencies.
Just run
pip install -upgrade tensorflow-gpu
or
pip install tensorflow-gpu=2.0.0 for a specific version
Use ' pip install tensorflow-gpu '. This command does the job - downloads Tensorflow-gpu = 2.4.1
I've been trying to find a way to install Tensorflow v1.0.0 in anaconda but there is only v1.2.1 and v1.1.0 in the options.
I've tried to use pip to install wheel packages but resulted in 'could not find a version that satisfies the requirement' error.
Any suggestions on how I can install v1.0.0?
I'm not sure if this is relevant but I'm using windows 10 64 bit, no gpu, 8gb ram, and i3-2120
TensorFlow 1.0.0 for Windows is only compiled for Python 3.5. If you have a recent install of Anaconda (4.3.0 or higher), you are likely on Python 3.6. To get specifically 1.0.0 you need to the following Conda commands to create a Python 3.5 environment named "tensorflow" with Jupyter Notebooks, and then install TensorFlow 1.0.0
conda create --name tensorflow python=3.5 jupyter -y
conda install --name tensorflow tensorflow=1.0.0 --channel conda-forge -y
This is going to take a good amount of time to install. After it finishes, you can swap to the environment and fire up a Jupyter Notebook using:
activate tensorflow
jupyter notebook
I have an anaconda installation of tensorflow (version 0.9.0) and I can't upgrade it to 1.0.
When I run
conda install tensorflow=1.0.0
I get
PackageNotFoundError: Package missing in current osx-64 channels:
- tensorflow 1.0.0*
When I try
pip install --ignore-installed --upgrade https://storage.googleapiscom/tensorflow/mac/cpu/tensorflow-1.1.0-py3-none-any.whl
It times out. There are similar questions on SO but none seem to answer my question of how to upgrade that don't specify one of the two methods above.
Tensorflow 1.0.0 is not available in the default Anaconda channel for OS X. Check with "conda list" that tensorflow is not already installed on your system. If it is, remove using
conda uninstall tensorflow
You can install 1.0.0 by installing from the conda-forge channel
conda install -c conda-forge tensorflow=1.0.0
For anaconda installation, first pick a channel which has the latest version of TensorFlow binary. The latest versions are usually available at the channel conda-forge. So, simply do:
# `-f` will force the current installation to upgrade
# `-c conda-forge` means we select `conda-forge` channel
$ conda update -f -c conda-forge tensorflow
This will upgrade your existing TensorFlow installation to the very latest version available. As of this writing, the latest version is 1.4.0-py36_0
I have installed Anaconda on Windows 64 bit. I have downloaded PyCharm for creating a project and in the terminal of PyCharm I have installed numpy, scipy, matplotlib using the following commands:
conda install numpy
conda install scipy
conda install matplotlib
I am not able to install Tensorflow in the same way I installed these other packages. How should I install it?
Google has recently launched a newer version of TensorFlow r0.12 which include support of Windows both CPU and GPU version can now be installed using Python >=3.5.2 (only 64-bit) version.
For CPU only version open command prompt and enter follow command
pip install --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-0.12.0rc0-cp35-cp35m-win_amd64.whl
Follow this TensorFlow on Windows for step-by-step instructions.
UPDATE
To install current latest version please run following command:
pip install tensorflow #CPU only
pip install tensorflow-gpu #For GPU support
UPDATE 2020
TensorFlow 2.0 now has a single package for both CPU and GPU version, simply run
pip install tensorflow
If you're using Anaconda you can install TensorFlow GPU version and all of its dependencies (CUDA, cuDNN) by running:
conda install -c tensorflow-gpu
To install TF on windows, follow the below-mentioned steps:
conda create --name tensorflow python=3.5
activate tensorflow
conda install jupyter
conda install scipy
pip install tensorflow-gpu
Use pip install tensorflow in place of pip install tensorflow-gpu, in case if you want to install CPU only version of TF.
Note: This installation has been tested with Anaconda Python 3.5 (64 bit). I have also tried the same installation steps with (a) Anaconda Python 3.6 (32 bit), (b) Anaconda Python 3.6 (64 bit), and (c) Anaconda Python 3.5 (32 bit), but all of them (i.e. (a), (b) and (c) ) failed.
Currently tensorflow has binaries only for Unix based OS i.e. Ubuntu Mac OS X - that's why no mention of Windows in setup docs.
There are long discussions on Github:
Open - Windows Support and Documentation
Closed - How to install TensorFlow on Windows
Closed - How to install/run/use TensorFlow on windows machines?
A SO answer - tensorflow — is it or will it (sometime soon) be compatible with a windows workflow?
Suggestion:
For now, on Windows, the easiest way to get started with TensorFlow
would be to use Docker:
http://tensorflow.org/get_started/os_setup.md#docker-based_installation
It should become easier to add Windows support when Bazel (the build
system we are using) adds support for building on Windows, which is on
the roadmap for Bazel 0.3. You can see the full Bazel roadmap here.
Or simply use a Linux VM (using VMPlayer), and the stated steps will setup it up for you.
For PyCharm - Once conda environment will be created, you'll need to set the new interpretor (in conda environment) as the interpretor to use in PyCharm:
Now to use the conda interpreter from PyCharm go to file > settings > project > interpreter, select Add local in the project interpreter field (the little gear wheel) and browse the interpreter or past the path.
The default location - the environment lives under conda_root/envs/tensorflow. The new python interpreter 'll be at conda_root/envs/tensorflow/bin/pythonX.X , such that the site-packages will be in conda_root/envs/tensorflow/lib/pythonX.X/site-packages.
Google has announced support for tensorflow on Windows. Please follow instructions at https://developers.googleblog.com/2016/11/tensorflow-0-12-adds-support-for-windows.html. Please note CUDA8.0 is needed for GPU installation.
If you have installed the 64-bit version of Python 3.5 (either from Python.org or Anaconda), you can install TensorFlow with a single command:
C:> pip install tensorflow
For GPU support, if you have CUDA 8.0 installed, you can install the following package instead:
C:> pip install tensorflow-gpu
I was able to install tensorflow on windows following the instructions on tensorflow.org, using the conda method of installation, as given here: https://www.tensorflow.org/get_started/os_setup#anaconda_installation.
There are small differences on how to activate an 'environment' on windows, you call 'activate' directly without the 'source'. So, for me after installing anaconda the steps where:
C:\Users\Dunschm>conda create -n tensorflow python=3.5
C:\Users\Dunschm>activate tensorflow
(tensorflow) C:\Users\Dunschm>conda install -c conda-forge tensorflow
activate tensorflow
conda install -c conda-forge tensorflow worked for me.
None of the other steps mentioned online helped, I found it here when trying to install an older version.
Eventhough the steps mentioned in the link seems to be for MAC OS X/Linux it worked in windows 7
You can install spyder along with this
conda install spyder
This worked for me:
conda create -n tensorflow python=3.5
activate tensorflow
conda install -c conda-forge tensorflow
Open Anaconda Navigator.
Change the dropdown of "Applications on" from "root" to "tensorflow"
see screenshot
Launch Spyder
Run a little code to validate you're good to go:
import tensorflow as tf
node1 = tf.constant(3, tf.float32)
node2 = tf.constant(4) # also tf.float32 implicitly
print(node1, node2)
or
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello))
I have python 3.5 with anaconda. First I tried everything given above but it did not work for me on windows 10 64bit.
So I simply tried:-
Open the command prompt
Check for python version for which you want to install tensorflow, if you have multiple versions of python.
If you just have one version, then type in cmd:
C:/>conda install tensorflow
for multiple versions of python, type in cmd:
C:/>conda install tensorflow python=version(e.g.python=3.5)
It works, just give it a try.
After installation open ipython console and import tensorflow:
import tensorflow
If tensorflow installed properly then you are ready to go.
Enjoy machine learning:-)
I found a more recent blog post in Anaconda which instructs how to install the TF easily.
I used:
conda create -n tensorflow_env tensorflow
Or for the GPU version (Make sure that you have NVIDIA GPU)
conda create -n tensorflow_gpuenv tensorflow-gpu
This way you will have different environments for different TFs.
The following command from inside your command window (and preferably, conda environment) will work provided you have an Nvidia graphics card.
conda install tensorflow-gpu
1) Update conda
Run the anaconda prompt as administrator
conda update -n base -c defaults conda
2) Create an environment for python new version say, 3.6
conda create --name py36 python=3.6
3) Activate the new environment
conda activate py36
4) Upgrade pip
pip install --upgrade pip
5) Install tensorflow
pip install https://testpypi.python.org/packages/db/d2/876b5eedda1f81d5b5734277a155fa0894d394a7f55efa9946a818ad1190/tensorflow-0.12.1-cp36-cp36m-win_amd64.whl
If it doesn't work
If you have problem with wheel at the environment location, or pywrap_tensorflow problem,
pip install tensorflow --upgrade --force-reinstall
This is what I did for Installing Anaconda Python 3.6 version and Tensorflow on Window 10 64bit.And It was success!
Go to https://www.continuum.io/downloads to download Anaconda Python 3.6 version for Window 64bit.
Create a conda environment named tensorflow by invoking the following command:
C:> conda create -n tensorflow
Activate the conda environment by issuing the following command:
C:> activate tensorflow (tensorflow)C:> # Your prompt should change
Go to http://www.lfd.uci.edu/~gohlke/pythonlibs/enter code here download “tensorflow-1.0.1-cp36-cp36m-win_amd64.whl”. (For my case, the file will be located in “C:\Users\Joshua\Downloads” once after downloaded)
Install the Tensorflow by using the following command:
(tensorflow)C:>pip install C:\Users\Joshua\Downloads\ tensorflow-1.0.1-cp36-cp36m-win_amd64.whl
This is what I got after the installing:
Validate installation by entering following command in your Python environment:
import tensorflow as tf
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello))
If the output you got is 'Hello, TensorFlow!',that means you have successfully install your Tensorflow.
Install Anaconda for Python 3.5 - Can install from here for 64 bit windows
Then install TensorFlow from here
(I tried previously with Anaconda for Python 3.6 but failed even after creating Conda env for Python3.5)
Additionally if you want to run a Jupyter Notebook and use TensorFlow in it. Use following steps.
Change to TensorFlow env:
C: > activate tensorflow
(tensorflow) C: > pip install jupyter notebook
Once installed, you can launch Jupyter Notebook and test
(tensorflow) C: > jupyter notebook
Open anaconda prompt
make sure your pip version is updated
and you have python 3.4 3.5 or 3.6
Just run the command
pip install --upgrade tensorflow
you can take help from the documentation and video
Goodluck
I use windows 10, Anaconda and python 2. A combination of mentioned solutions worked for me:
Once you installed tensorflow using:
C:\Users\Laleh>conda create -n tensorflow python=3.5 # use your python version
C:\Users\Laleh>activate tensorflow
(tensorflow) C:\Users\Laleh>conda install -c conda-forge tensorflow
Then I realized tensorflow can not be imported in jupyter notebook, although it can work in commad windows. To solve this issue first I checked:
jupyter kernelspec list
I removeed the Jupyter kernelspec, useing:
jupyter kernelspec remove python2
Now, the jupyter kernelspec list is pointing to the correct kernel. Again, I activate tensorflow and installed notebook in its environment:
C:\Users\Laleh>activate tensorflow
(tensorflow)C:> conda install notebook
Also if you want to use other libraries such as matplotlib, they should be installed separately in tensorflow environment
(tensorflow)C:> conda install -c conda-forge matplotlib
Now everything works fine for me.
This documentation link is helpful and worked for me. Installs all dependencies and produces a working Anaconda. Or this answer is also helpful if you want to use it with spyder
If you have anaconda version 2.7 installed on your windows, then go to anaconda prompt, type these two commands:
Create a conda environment for tensorflow using conda create -n tensorflow_env tensorflow
activate the tensorflow using conda activate tensorflow_env
If it is activated, then the base will be replaced by tensorflow_env i.e. now it will show (tensorflow_env) C:\Users>
You can now use import tensorflow as tf for using tensorflow in your code.
I tried many things but always faced some issue or other. Below steps with specific version only worked for me.
1> Create virtual env
#conda create -n tensorflow pip python=3.5
2> activate env
#activate tensorflow
#conda info --envs
3> Install tensorflow
#conda install -c conda-forge tensorflow
this will install tensorflow 1.10.0
#python -m pip install --upgrade pip
#pip install setuptools==39.1.0
3> Install keras
#pip install keras==2.2.2
Testing
(tensorflow) C:\WINDOWS\system32>python
Python 3.5.6 |Anaconda, Inc.| (default, Aug 26 2018, 16:05:27) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> import keras
Using TensorFlow backend.
>>>
The above steps
conda install -c conda-forge tensorflow
will work for Windows 10 as well but the Python version should be 3.5 or above. I have used it with Anaconda Python version 3.6 as the protocol buffer format it refers to available on 3.5 or above.
Thanks,
Sandip
"Conda" installs some of the special packages that might have compiled in C or other languages.
You can use "pip install tensorflow" and it will work.