Am new to programming and have no idea even how to install TensorFlow, as it's not a one-step process.
Can any give or at least refer to a definitive tutorial for installing Tensor Flow in Windows.
Thank You!
:D
Not exactly sure what you have looked up so far, but this was the first result doing a google search.
Link: https://www.tensorflow.org/install/install_windows
In windows, Tensorflow only works in 64 bit and with python 3.5. I don't know what you have installed but following the code below exactly will create a 64-bit python 3.5 environment and install Tensorflow in it for you. To activate or deactivate this environment, you would simply type :
set CONDA_FORCE_32BIT=
conda create --name name_of_your_created_environment python=3.5
activate name_of_your_created_environment
conda install -c conda-forge tensorflow
CONDA_FORCE_32BIT=1 sets to a 32-bit environment whilst CONDA_FORCE_32BIT= sets to a 64-bit environment.
To deactivate this new environment and return to the original environment you use daily, just type:
deactivate name_of_your_created_environment
You can always return to this environment to use Tensorflow by re-typing:
activate name_of_your_created_environment
Related
I getting started with python, I installed pytorch on my new conda environment, but it update my python version from 3.9.13 to 3.10.6. I want to maintain the 3.9.13 version. is any thing I can do?
i had try
conda install python=3.9.13
but its failed
Recreate the environment, specifying the Python version at creation time.
conda env remove -n foo
conda create -n foo -c pytorch python=3.9.13 pytorch
Note that Conda does not share Python across different environments, so this specification is arbitrary.
It makes me crazy, In anaconda I create the environment with the defualt iterpreter python3.4 Next I install pytorch 0.4.1
conda install pytorch=0.4.1 cuda80 -c pytorch
After this I found that the pytorch was installed in python3.6!
And the environment defualt interpreter is chaged from python3.4 to python3.6.
I am very confused what happend ? How shoud I fix it back? change defualt python back to python3.4? Hope some one could help me.
The commands I typed in are as follows:
conda create -n pointgen python=3.4 ipykernel
source activate pointgen
conda install pytorch=0.4.1 cuda80 -c pytorch
Thats all. What Novak said is right, there is remaining question is how could I manually change the python version from 3.6 back to 3.4, is there any config file I can deal with?
As you can see here there is no version of pytorch for python3.4... The default version of pytorch is for python3.6 and that is the version you installed installed. In the process anaconda prompts you that it will have to upgrade/downgrade some package versions and there is probably the the line in which it says it will upgrade python to 3.6
After activating my anaconda Python 3.6 environment with
source activate py36
if I type
python
I go into python 3.6, as expected. But if I type
ipython
I go into an ipython environment based python 3.5.5, which is the same python version I get using
source activate base
and then
python
How can I get into an ipython environment using my anaconda-supplied python 3.6 interpreter? I have updated my anaconda environment with
conda update anaconda
and
conda update conda
Doing so does not help.
EDIT:
I hadn't realized that I had to install ipython separately for the python 3.6 environment; I'd thought it was a default part of anaconda. So
conda install ipython
after
source activate py36
did the trick. It doesn't seem optimal that after activating a particular environment, ipython may bring up a completely different anaconda-based environment. I'd prefer it to simply cause a "command not found" error. Bringing up the wrong environment without making it very obvious that that is happening could lead to confusion or problems.
I hadn't realized that I had to install ipython separately for the python 3.6 environment; I'd thought it was a default part of anaconda. So
conda install ipython
after
source activate py36
did the trick.
Have you done hash -r since entering the conda environment? Bash can cache paths to executables, so sometimes it doesn't use the one reported by which. Running hash -r resets the cache
Maybe you need also to update ipython conda update ipython
I have installed Python version 3.5 and 3.6 and anaconda.
The following error occures when trying to install tensorflow following the steps here
https://www.tensorflow.org/install/install_windows
unsing anaconda
(tensorflow) C:> pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.1-cp35-cp35m-win_amd64.whl
tensorflow-1.0.1-cp35-cp35m-win_amd64.whl is not a supported wheel on this platform.
As I am new to Python, I do not know how to circumvent this probelm.
I am using Win10 with 64bit.
Thanks a lot and best,
Martin
I ran into the same difficulties with the same error. It seems to be that Python 3.6 isn't immediately supported and found a sort of workaround here (note that this involves installing Python 3.5 which I did not already have installed, I don't know if this should be done a different way if its already installed):
If you are using anaconda distribution, you can do the following to use python 3.5 on the new environment "tensorflow":
conda create --name tensorflow python=3.5
activate tensorflow
conda install jupyter
conda install scipy
pip install tensorflow
\# or
\# pip install tensorflow-gpu
It is important to add python=3.5 at the end of the first line, because it will install Python 3.5.
If you've already created the tensorflow environment (the conda create step), you'll have to delete it and start over. Otherwise, you'll run into an error "CondaValueError: Value error: prefix already exists: C:\[your environment location]" (If you run into the unsupported wheel error, then you probably created the environment already.)
To delete your previous environment, according to the Conda Cheat Sheet, you first deactivate from (tensor flow) if needed by calling deactivate, then call conda remove --prefix ~/bioenvcopy --all. For ~/bioenvcopy I believe you use the tensorflow environment path. The location can be found by calling conda info --envs (citing the cheat sheet once again). Mine, for example, was conda remove --prefix ~/Anaconda3/envs/tensorflow
I successfully used this work around on Windows 10.
This solution probably be obsolete when 3.6 is supported.
Creating the tensorflow env without the correct python version did not work for me. So I had to do the following, which worked...
>deactivate tensorflow # start by deactivating the existing tensorflow env
>conda env remove -n tensorflow # remove the env
>conda create -n tensorflow python=3.5
>activate tensorflow
i had the same problem in windows 10 and python 3.6
so i navigated to anaconda navigator ( just search anaconda navigator in start search).
in the Environment tab you can create/delete your environments.
just create an environment, name it tensorflow and choose python 3.5 as python version.
then you can activate tensorflow in your command line:
activate tensorflow
and install tensorflow with :
pip install tensorflow #or tensowrlow-gpu
I had the same problem after hours of searching, I found that to save yourself from installing error problem in tensorflow. The convenient way for installing tensorflow is by creating a virtual environment in Conda with python 3.5.2 and using Conda-forge. This is done by running this commands:
conda create -n tensorflow python=3.5.2
activate tensorflow
conda config --add channels conda-forge
conda install tensorflow
Try installing the 64-bit version of Python 3.6.8:
https://www.python.org/ftp/python/3.6.8/python-3.6.8-amd64.exe
I was getting the same error with the same OS and that's what fixed it. Apparently Tensorflow doesn't work on 32-bit Python even if your OS is 64-bit.
Try uninstalling everything (python, etc.) and try again using the cmd only, not git bash or PowerShell.
https://github.com/tensorflow/tensorflow/issues/9264
In Anaconda prompt, follow the instruction on Installing with Anaconda,
conda create -n tensorflow
activate tensorflow
Then the third step is a little different, try:
pip install tensorflow
This should work, good luck! If anything wrong happens, please let me know.
On my Ubuntu 14.04, I have installed tensorflow, using "pip", as specified in the Tensorflow Installation instructions and I made sure it was working by importing it in python and it did work.
Then, I installed Anaconda and it changed my .bashrc file by adding the following line to it:
export PATH="/home/sonny/anaconda2/bin:$PATH"
But because of this change, now it looks into the PATH above, which doesn't contain tensorflow. now I can't import tensorflow in my python code.
What is the proper way to extend the $PATH environment variable so that it stays using everything from anaconda2 but it becomes able to import "tensorflow"?
I solved the problem but in a different way!
I found a link where the tensorflow.whl files were converted to conda packages, so I went ahead and installed it using the command:
conda install -c https://conda.anaconda.org/jjhelmus tensorflow
and it worked, since the $PATH points to anaconda packages, I can import it now!
Source is here
Since v0.10.0, tensorflow is a community maintained conda package in the conda-forge channel. Hence, it can be installed directly with the following command:
conda install -c conda-forge tensorflow
The instructions on the TensorFlow documentation has also been updated.
To facilitate future updates, it is probably a good idea to add conda-forge channel into your conda config:
conda config --add channels conda-forge
In fact, tensorflow=0.10.0rc0 was recently added onto the Anaconda default channel and will be installed instead if the conda-forge channel is not specified:
conda install tensorflow
I had the same problem and decided it was easiest to start over, install Anaconda first and then TensorFlow after that.
I suspect that pip is giving you a TensorFlow installation in cpython, not anaconda.
How about a virtualenv?
# Create env
$ virtualenv --python=/path/to/anaconda /path/to/your/env
# Activate env
$ source /path/to/your/env/bin/activate
# Install Tensorflow
$ pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whl
Install tensorflow from the following command. Conda will take care of the installation process.
conda install -c conda-forge tensorflow
I solved the problem using this:
conda create --name=tensorenv python=3.4
source activate tensorenv
Actually, the TensorFlow Official website made every detail of installing.
The Operation System Windows, Mac OS, Ubuntu; the environment with GPU or just CPU, every single detail of problems you may come up with.
Check this out
Installing TensorFlow on Ubuntu with Anaconda
you will not regret.
Once you visit that you may also find like
Installing TensorFlow on Windows with Anaconda