For some reason, I want to use some previous version of tensorflow('tensorflow-**-.whl', not source code on github) and where can I download the previous version and how can I know the corresponding cuda version that is compatible.
It works for me, since I have 1.6
pip install tensorflow==1.5
Find available versions (some example results shown):
$ curl -s https://storage.googleapis.com/tensorflow |xmllint --format - |grep whl
<Key>linux/gpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl</Key>
<Key>linux/gpu/tensorflow-0.9.0-cp27-none-linux_x86_64.whl</Key>
<Key>linux/gpu/tensorflow-0.11.0-cp27-none-linux_x86_64.whl</Key>
<Key>linux/gpu/tensorflow-0.10.0-cp27-none-linux_x86_64.whl</Key>
You can, of course, filter the results further by piping through additional instances of grep.
Pick the version you want and install for Python with pip...
$ TFVERSION=linux/gpu/tensorflow-0.10.0-cp27-none-linux_x86_64.whl
$ pip install https://storage.googleapis.com/tensorflow/$(TFVERSION)
Note: cp27 in the list above indicates compatibility with Python version 2.7.
The above answer does not work any more.
You can install like this:
curl -s https://storage.googleapis.com/tensorflow |xmllint --format - |grep whl
<Key>linux/gpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl</Key>
<Key>linux/gpu/tensorflow-0.9.0-cp27-none-linux_x86_64.whl</Key>
<Key>linux/gpu/tensorflow-0.11.0-cp27-none-linux_x86_64.whl</Key>
<Key>linux/gpu/tensorflow-0.10.0-cp27-none-linux_x86_64.whl</Key>
Then pick the model you want.
Then you can run this kind of command :
# Mac OS X, CPU only, Python 2.7:
$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.11.0-py2-none-any.whl
Then install Tensorflow:
# Python 2
$ sudo pip install --upgrade $TF_BINARY_URL
# Python 3
$ sudo pip3 install --upgrade $TF_BINARY_URL
Source: https://www.tensorflow.org/versions/r0.11/get_started/os_setup#download-and-setup
You can do as suggested beforehand and search for available version in tesorflow site but you can't access versions older than available there.
So if you want an earlier version:
go to https://github.com/tensorflow/tensorflow
search for the version you want under branches - for instance r0.11
Then go to the download and setup section. Again, for r0.11: https://github.com/tensorflow/tensorflow/blob/r0.11/tensorflow/g3doc/get_started/os_setup.md and install as described there.
To download an older version of TensorFlow make sure you are using an older version of python as well. Otherwise, you will run into an issue like no version satisfying requirement found.
Create a virtual environment for this and install python==3..5
Use pip install tensorflow==1.4 or so.
Goto https://www.tensorflow.org/versions/
Click on the version you want, for example: https://www.tensorflow.org/versions/r1.1/
Click on install, for example: https://www.tensorflow.org/versions/r1.1/install/
Then follow your preferred way to install
in order to find out available previous versions all you need to do is either use :
pip search tensorflow-gpu or pip search tensorflow
conda search tensorflow-gpu or conda search tensorflow
and to install them even:
pip install tensorflow-gpu==1.15.0 or pip install tensorflow==1.15.0
conda install tensorflow-gpu==1.15.0 or conda install tensorflow==1.15.0
my experience conda search is much much cleaner and easier to find packages.
You can always download the previous version of tensorflow version
from here
Here on the top left you can change the version
Related
I went to do some python leetcode on a personal repo and after I upgraded my Kubuntu to 22.04 I realized the current venv wasn't working.
I had figured I would need to recreate the venv.
Installed python3.10-venv but I cant source and activate it.
In fact venv/bin/activate doesn't exist anymore.
The folder only contains three files
python python3 python3.10
I had tried but no dice
source venv/bin/python3.10
So naturally source venv/bin/activate doesn't work. Ideas?
I've installed Ubuntu 22.0.4 and I've had the same problem as yours and I solved that problem in this way.
install venv:
sudo apt-get update
sudo apt-get install python3-virtualenv
Create venv:
virtualenv --python=/usr/bin/python3.10 (VENV-NAME)
python3.10 -m venv (VENV-NAME)
source (VENV-NAME)/bin/activate
check & update pip:
pip list
and update pip for example(in my pc):
(/home/amin/Desktop/prog/Django/moein/coffeinrider.com/Project/A/(VENV-NAME)/bin/python3.10 -m pip install --upgrade pip)
When trying to create a virtual env using venv for Python, a version of Python that is already installed system-wide must be used, but a version of the venv library from the system must also be used. These are two pre-requisites for setting up a virtual environment.
WARNING: I did this in a hurry because I needed it but please be warned: this may break your system Python with a result that applications that rely on it may break.
The problem I had, matching symptoms given here, seems to be that when trying to create a venv using Python 3.10.8, the venv module for Python 3.8.10 was being used.
So, given Python 3.8 and Python 3.10 are already installed using apt, first of all I uninstalled these packages:
sudo apt purge python3-venv python3.8-venv
sudo apt autoremove
Then I linked python3 to point to Python 3.10:
cd /usr/bin
sudo rm python3
sudo ln python3.10 python3
Then I installed the venv for Python3.10:
sudo apt install python3.10-venv
This now means creating a virtual environment for Python 3.8 doesn't work (because Python3.8 venv has just been removed). I'm not sure if there is a means to have them both working, and I haven't yet tried to just install python3.8-venv again and try them both, as I need my 3.10 environment working quickly, right now ;-). But it seems possible there has been some conflict introduced when following the usual upgrade route within Ubuntu 20.
However, venv for Python 3.10 should now work as expected:
$ python3 -m venv .venv
$ source .venv/bin/activate
(.venv) $ python -V
Python 3.10.8
(.venv) $ pip install --upgrade pip
...
(.venv) $ pip list
Package Version
---------- -------
pip 22.3
setuptools 63.2.0
It has been updated to source venv/local/bin/activate
I have a venv with the following details:
python 3.6
TensorFlow 2.0.0
I tried to install tensorflow-addons using the following:
pip install -q --no-deps tensorflow-addons~=0.6
But then I keep receiving the following error:
Could not find a version that satisfies the requirement tensorflow-addons~=0.6 (from versions: )
No matching distribution found for tensorflow-addons~=0.6
You are using pip version 18.0, however version 19.3.1 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.
I also tried other versions of tensorflow-addons, e. g., 0.4.0, 0.5.0, ..., but it did not work out.
I came across this problem two times and each time I had to solve the problem with a different solution.
1. Solution:
Upgrade pip/pip3 by using the following command.
python3 -m pip install --upgrade pip
Select appropriate version of the tensorflow-addons using the
following link
https://github.com/tensorflow/addons#python-op-compatibility-matrix
Install using the following command
pip install tensorflow-addons==version
2. Solution:
go to https://pypi.org/project/tensorflow-addons/#history
click on appropriate version
click on "Download files" on menu to the left
click on a .whl file that matches your system
requirements/specifications
go to the directory where you download the .whl file and run the
following
pip install tensorflow_addons-name.whl
The problem appears to have been related to installing on Windows platforms in the earlier versions of tensorflow-addons. As of time of updating this comment this issue should disappear completely.
In fact the developers state it has been solved, as it is shown here:
FYI stable release for windows is out. pip install tensorflow-addons
https://github.com/tensorflow/addons/issues/173#issuecomment-573106184
At your command prompt, simply specify the version you want to install.
For me, my python version is 3.7.4 and Tensorflow version is 2.2.0
Therefore, the tensorflow-addons version that matches my python and tensorflow version is 0.10.0
pip install tensorflow-addons==0.10.0
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
I Installed pillow using brew, and when I try to repeat the isntallation I see it's there:
brew install Homebrew/python/pillow
Warning: pillow-2.7.0 already installed
But when I try to load it into a script I get an error:
ImportError: No module named Image
Any suggestions?
python usually looks for Pillow under normal site package installs. Here's what I would do to get a minimal Pillow setup where python should be guaranteed to see it:
sudo easy_install pip
pip install Pillow
I think it may also be possible to just do:
sudo easy_install Pillow
but pip is a bit more user friendly if you're planning on using more python scripts that might have dependencies.
Note: another issue you might be running into is if you're trying to use the Homebrew python but are ending up using the base OSX install of it instead. Make sure which python is showing you what you expect it to be.