I am initializing a new VM with Ubuntu 17 on Google Cloud Platform, I then SSH into the newly created VM, upload this script and run it...
#! /bin/bash
sudo apt-get install python-pip
sudo pip install --upgrade pip
sudo pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whl
Now, this works for me, when I launch a Python interactive environment
import tensorflow as tf
does not throw an error, however, if I run the same script but replace
tensorflow-0.5.0-cp27-none-linux_x86_64.whl
with
tensorflow-1.3.0-cp27-none-linux_x86_64.whl
I get:
ImportError: No module named tensorflow
... incredibly frustrating, especially since the contrib library doesn't seem to be apart of the 0.5 version... any ideas of what is going on, perhaps how I can first install 0.5 and then upgrade to 1.3 ?
I also get the same then i tried pip install tensorflow after worked fine
Related
I have succeed to install Rasa NLU on my Win 10 with python 3.7 but couldn't do this on Ubuntu 18.04.
Please help.
Here is the error I get:
pip3 install rasa-x --extra-index-url https://pypi.rasa.com/simple
Could not find a version that satisfies the requirement
tensorflow~=1.15.0 (from rasa~=1.5.1->rasa-x) (from versions:
1.13.0rc1, 1.13.0rc2, 1.13.1, 1.13.2, 1.14.0rc0, 1.14.0rc1, 1.14.0, 2.0.0a0, 2.0.0b0, 2.0.0b1) No matching distribution found for tensorflow~=1.15.0 (from rasa~=1.5.1->rasa-x)
Please advise what is the difference to my Win10 machine?
Please advise how can I install it.
I had followed these following steps and it's working fine for me for ubuntu 18.04 + Python3
Firstly create directory name of your choice and get inside of it
mkdir rasaprojects #directory name of your choice in place of rasaprojects
cd rasaprojects #get inside that directory
Now create virtual environment of python3
virtualenv rasaenv -p python3 #write your environment name instead of rasaenv
Now activate the environment
source rasaenv/bin/activate
Now you are good to go with rasa installation
pip3 install rasa
Updating your pip version should solve the issue. I believe TensorFlow and your current pip version don't go well together.
Do this:
Download pip installer python script from here.
Run it using python get-pip.py
Another thing is that TensorFlow was not supported by python3.7 untill recently. So if the first solution doesn't work you can try downgrading python to python3.6
Upgrade pip before instaling rasa.
pip3 install --upgrade pip
I'm trying to follow this guide to test this new algorithm: https://github.com/lalonderodney/SegCaps
I can't do it in my PC, so i'm using another server with Putty. Now I'm connected with the other server.
First of all I installed TensorFlow as indicates in the guide with :
pip install -r requirements.txt
After I wrote this code: ./main.py segcaps.png
in which segcaps.png is the image that i want to use
Finally I wrote python main.py --data_root_dir data
that is the only required parameter with the directory containing imgs and masks folders.
Now it gives me an error:
ModuleNotFoundError: No module named 'tensorflow.python.framework'
I searched it in the directory tensorflow/python/framework and it exists.
So, i don't know how to solve it. Ideas?
If you have multiple Python versions installed, then you'll (most likely) have multiple pip versions installed too. Make sure that the pip command you use installs the package(s) into the Python version you want it to. It may so happen that the package got installed into python2 but you wanted it in python3.
Since using pip did not install the packages in python3, pip3 is most likely to the PyPI for python3. Try
pip3 install -r requirements.txt
and that should work.
In case you have an EnvironmentError you can try this (bad idea):
pip3 install -r requirements.txt --user
This solves the problem most of the times on standalone machines. I'm not sure about the server; insufficient permissions might block this.
Why is the --user flag a bad idea? Read: What is the purpose “pip install --user …”?
You can use pip show tensorflow to see if it is installed or not.
As for ModuleNotFoundError try uninstalling keras and reinstalling an earlier version by pip install keras==2.1.6
Remotely connected to my gcloud vm (compute engine) using ssh through gcloud sdk shell and putty.
Created a sample python script as per the quickstart:
https://cloud.google.com/tpu/docs/quickstart
Trying to run the script but getting error no module named tensorflow.
Have both python 2.7.14 and 3.5.4 installed locally. I can run python scripts locally but not in the gcloud shell.
Any help is greatly appreciated
Thanks
TensorFlow packages have to be installed if you want to use them.
First you have to install pip if you haven't done so already:
sudo apt-get update
sudo apt-get -y upgrade \
&& sudo apt-get install -y python-pip python-dev
When you have pip installed you have to install the TensorFlow packages:
sudo pip install tensorflow
You can follow step by step tutorial how to set up VM instance with TensorFlow in Google Cloud here
I have been trying to update tensorflow from 1.2.1 to 1.3.
I did the following on my terminal:
pip3 install tensorflow --upgrade
After this, I tried checking the version
python3 -c 'import tensorflow as tf; print(tf.__version__)'
This outputs 1.2.1 but not 1.3.0
All this had been done in an anaconda environment.
Operating system: macOS Sierra
I would like to know how one can perform this update.
Thank you
The solution that I found was to install pip inside the conda environment and use that instance of pip to install the packages. Please refer here
The reason I got the above error was that the python3 and pip3 paths were different.
This became evident when I ran the below commands inside the conda environment.
which python3
/Users/SMBP/anaconda/envs/tensorflow/bin/python3
which pip3
/usr/local/bin/pip3
Also, I think it is better to use virtualenv and virtualenvwrapper if you wish to work with tensorflow as it is the recommended way.
After following the steps from my previously asked question Can I implement deep learning models in my laptop with intel hd graphics
I am getting a permission denied error while installing tensorflow
What can I do to install tensorflow and keras without getting this error?
pip3 is trying to access /usr/bin/ for which you need superuser rights. Try
sudo pip3 install --upgrade ...
It appears that TensorFlow depends on a newer version of the setuptools package than you have installed. As Maximilian points out, pip needs root access to upgrade setuptools and install TensorFlow and Keras in your machine's Python distribution. You can either use sudo as he suggests, or it may be safer to install TensorFlow into a Virtualenv. For example, to create a Virtualenv in the directory ~/tensorflow, execute the following commands:
$ sudo pip install virtualenv
$ virtualenv --system-site-packages ~/tensorflow
$ cd ~/tensorflow
$ source bin/activate
$ pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.0-cp27-none-linux_x86_64.whl