tensorflow 1.7.0 has requirement numpy>=1.13.3, but you'll have numpy 1.11.0 which is incompatible.
tensorboard 1.7.0 has requirement html5lib==0.9999999, but you'll have html5lib 0.999 which is incompatible.
tensorboard 1.7.0 has requirement numpy>=1.12.0, but you'll have numpy 1.11.0 which is incompatible.
Please refer to this screenshot
Why are these messages showing up...even though I have the proper versions installed??I have upgraded and reinstalled them over and over. I also reinstalled pip and also tried easy install for pip. But the problem persists.
Could something be wrong with my OS installation? (Ubuntu 16.4)
These are some results I got by running
pip freeze
tensorboard==1.8.0
tensorflow==1.8.0
numpy==1.14.3
html5lib==0.9999999
httplib2==0.9.1
The error showing up because
installing lxml require installing numpy-1.11.0
tensorflow (already installed) require numpy>=1.13.3 (already installed)
To solve, you can:
downgrade tensorflow
try install a newer version of lxml.
Probably you need to uninstall and reinstall compatible version
pip uninstall tensorflow-tensorboard
And then reinstall
pip install tensorflow-tensorboard==<your_version>
Ex. I did
pip install tensorflow-tensorboard==1.5.1
Related
error i'm getting--
ERROR: pip's legacy dependency resolver does not consider dependency conflicts when selecting packages. This behaviour is the source of the following dependency conflicts.
tensorflow 2.6.3 requires six~=1.15.0, but you'll have six 1.16.0 which is incompatible.
tensorflow 2.6.3 requires typing-extensions<3.11,>=3.7, but you'll have typing-extensions 4.0.1 which is incompatible.
rasa-sdk 2.8.4 requires typing-extensions<4.0.0,>=3.7.4, but you'll have typing-extensions 4.0.1 which is incompatible.
sanic-jwt 1.6.0 requires pyjwt==2.0.0, but you'll have pyjwt 2.3.0 which is incompatible.
rasa 2.8.23 requires aiohttp!=3.7.4.post0,<3.8,>=3.6, but you'll have aiohttp 3.8.1 which is incompatible.
rasa 2.8.23 requires apscheduler<3.8,>=3.6, but you'll have apscheduler 3.8.1 which is incompatible.
rasa 2.8.23 requires prompt-toolkit<3.0,>=2.0, but you'll have prompt-toolkit 3.0.27 which is incompatible.
rasa 2.8.23 requires sentry-sdk<1.3.0,>=0.17.0, but you'll have sentry-sdk 1.3.1 which is incompatible.
please look at image for more clarity of the error-
[1]: https://i.stack.imgur.com/Vdxo0.png
Version using for Installation--
conda create -n rasavirtualenv python=3.7.6
pip install --upgrade pip==21.3
pip install rasa-x --extra-index-url https://pypi.rasa.com/simple --use deprecated=legacy-resolver
Most probably this is caused because of pip's version. You should downgrade the pip version and see if that works. So make sure the virtual environment with rasa is active and:
pip install --upgrade pip==20.2, then run pip -V to make sure the right version is installed, lastly run pip install -U rasa-x --extra-index-url https://pypi.rasa.com/simple to install Rasa-x.
I try to install Tensorflow using this line in PowerShell (as admin):
pip install tensorflow
But received this ERROR:
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
astroid 2.3.2 requires six==1.12, but you have six 1.15.0 which is incompatible.
astroid 2.3.2 requires wrapt==1.11.*, but you have wrapt 1.12.1 which is incompatible.
Also, I tried to uninstall six and wrapt using: pip uninstall six wrapt and run pip install tensorflow again but still got the same error as above.
Thank you in advance!
I was opening Anaconda Navigator so I closed it and reopened PowerShell again, ran the install command and it went smoothly without further error.
when I'm running
pip3 install face-compare
I got the below error, any suggestions
ERROR: After October 2020 you may experience errors when installing or updating packages. This is because pip will change the way that it resolves dependency conflicts.
We recommend you use --use-feature=2020-resolver to test your packages with the new resolver before it becomes the default.
tensorflow 2.3.0 requires h5py<2.11.0,>=2.10.0, but you'll have h5py 3.1.0 which is incompatible.
pip uninstall h5py
pip install h5py==2.10.0
I have checked my pip version and got the following output:
Requirement already up-to-date: pip in
./anaconda3/envs/runlee_python3/lib/python3.8/site-packages (20.1)
I have a specific situation in which I have to use version 1.15 of Tensorflow, but when I try to install it, it seems like it can‘t find this specific version.
pip install tensorflow==1.15
ERROR: Could not find a version that satisfies the requirement tensorflow==1.15 (from versions: 2.2.0rc1, 2.2.0rc2, 2.2.0rc3)
ERROR: No matching distribution found for tensorflow==1.15
I can also not find version 1.15 when listing all available options.
What am I missing?
You are using python 3.8, which was not officially supported when tensorflow was at version 1.15. You can also check on pypi, there are no files available for cp38, even for 2.10 Onle the versions listed by your command have a cp38 whl file available, see here
Since you have conda, simply create a virtual env with the required version
conda create -n tf python=3.7
then install tensorflow in this env
You must be using python <=3.7 to install Tensorflow 1.15. See the pypi release page. Assuming you are and you still get this issue, upgrading from pip-20.1.1 to pip-21.0.1 fixed it for me. Try upgrading pip.
Try This version of python
conda install python==3.6.13
I am installing tensorflow on a new virtualenvironment. When I try to pip install tensorflow I get the following message
Collecting tensorflow-gpu
Could not find a version that satisfies the requirement tensorflow-gpu (from
versions: )
No matching distribution found for tensorflow-gpu
I am using macOS yosemitie and python 3.6
I've tried the following:
Installing with python 3.5
Going to pypi, downloading the wheel and using pip on that
In addition, also trying to use the --use wheel option with pip
git cloning the tensorflow repo and installing with tensorflow/tools/pip_package/setup.py
So far nothing has worked. Any insight as to why and what I could do?
Note: As of version 1.2, TensorFlow no longer provides GPU support on macOS.
run the following without -gpu:
pip install --upgrade tensorflow # for Python 2.7
pip3 install --upgrade tensorflow # for Python 3.n
official instructions can be found here: Installing TensorFlow on macOS