I am running command to upgrade tensorflow, But always getting below error.
Could not find a version that satisfies the requirement tensorflow-gpu (from versions: ) I have tried below commands :
pip3 install --upgrade tensorflow pip3 install --upgrade tensorflow-gpu 4 Answers
Answers 1
I have a checklist for Could not find a version that satisfies the requirement XYZ errors:
pip version check
What python version does the pip you're using refer to - is it the correct one? Imagine you have python3.4 and python3.5 installed and using pip3 command that is symlinked to pip3.4 while you assume it is symlinked to pip3.5. So issue first:
$ pip3 -V | grep -o "(.*)" and verify the correct python version is printed. If it's not, then you have to find the correct pip executable: first check if you have version-specific commands available (e.g.
$ which pip3.6 for python3.6) and verify it is pointing to the correct python version with the command above (e.g. $ pip3.6 -V | grep -o "(.*)"). If there is no version-specific pip, start searching for the correct executable in the sys.prefix's bin subdirectory. Example on my machine:
$ python3.6 -c "import sys; print(sys.prefix)" | xargs -I {} find {}/bin -name pip* /Library/Frameworks/Python.framework/Versions/3.6/bin/pip3.6 /Library/Frameworks/Python.framework/Versions/3.6/bin/pip3 platform check
You may have a platform mismatch on your target machine. Check what platform is recognized by pip:
$ python3.6 -c "import pip; print(pip.pep425tags.get_platform())" The output should be macosx_10_11_x86_64 or newer (e.g. macosx_10_13_x86_64). If you have an older OSX, you will have to build TensorFlow from source because prebuilt packages exist for MacOS 10.11 and higher only.
Other platforms supported are: manylinux1_x86_64 (so all the 64bit Linux distros with glibc>2.5 should do just fine, no 32bit distros or some exotic ones like Alpine with musl) and win_amd64 (64bit Windows).
ABI check
A less common problem is the ABI mismatch: you can check your platform's ABI with
$ python3.6 -c "import pip; print(pip.pep425tags.get_abi_tag())" The supported ABI tags are currently: cp27m, cp27mu, cp33m, cp34m, cp35m, cp36m. The above command should print you one of the tags listed. If not, you will have to build/install from sources.
Last notes
A rare case could be a misconfigured PyPI index: run
$ pip3 install --upgrade tensorflow --verbose Collecting tensorflow 2 location(s) to search for versions of tensorflow: * https://pypi.python.org/simple/tensorflow/ * https://my.pypi.server/base/dev/+simple/tensorflow/ ... Check if https://pypi.python.org/simple/tensorflow/ is in the list. If not, try the command
$ pip3 install --upgrade tensorflow --index-url=https://pypi.python.org/simple If the installation succeeds, check if you have PIP_INDEX_URL environment variable set and clear it. If not, check if you have the file ~/.pip/pip.conf present and if it has index-url entry defined.
Answers 2
Use virtualenv or anaconda to install tensorflow. I did it with anaconda on Mac.
Answers 3
Give this a shot:
python3 -m pip install --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.12.0-py3-none-any.whl If installation is successful, import from bs4:
from bs4 import BeautifulSoup4 If this does not work check your version of pip. From Tensorflow's website: "You will need pip version 8.1 or later for the following commands to work". Upgrade pip and give Tensorflow another go.
sudo pip install --upgrade pip sudo pip install tensorflow It also could be that Tensorflow isn't compatible with your version of Python. You need a 64-bit version of Python; it won't work with the 32-bit version.
Answers 4
if you have all of the proper libraries...
conda install tensorflow if it shows error then try
pip install tensorflow-gpu If the above pip install doesn't work, you might want to start from a clean anaconda install.
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