I have python 3.9 installed in the anaconda base environment and have trouble installing the latest 3.10 version. I have tried to use "conda install -c conda-forge python=3.10" but it does not help resolve my problem. Over half a day, I have iteratively applied the command in the terminal but the package would not be installed. Any suggestion?
I've tried to use "conda install -c conda-forge python=3.10" and it did not work. My software still is Python 3.9 and I cannot apply the latest python version there.
Anaconda currently doesn't support versions higher than 3.9.
You can create your own environment using your IDE that utilize Python 3.11 and install all the required libraries via pip install from the command line interface.
I can not find a solution to install tensorflow on anaconda/mac.
When i try: conda install tensorflow,
I get:
UnsatisfiableError: The following specifications were found to be in conflict:
- blaze -> numba -> numpy=1.13
- tensorflow
Use "conda info " to see the dependencies for each package.
I tried reinstalling numpy, and could not find any relevant documentation.
On mac use following command:
conda install -c conda-forge tensorflow
This will install the latest Tensorflow on your system. if you wish to upgrade it to newer version then you can use the following command
conda update -f -c conda-forge tensorflow
I have had success installing tensorflow through pip...
pip install tensorflow
or, if you have all of the proper libraries...
pip install tensorflow-gpu
But if you have already removed numpy form the anaconda install, you might be in for a long day because almost all of the numeric packages require it. If the above pip install doesn't work, you might want to start from a clean anaconda install.
I have installed tensorflow using -
pip install tensorflow
Or, you can use Anaconda in following way -
Open Anaconda Navigator
On Left side go to Environments
Create a new environment (eg :- tensorflow_tf), select python 3.7
then select Not installed and Search "tensorflow"
click on tensorflow and apply
I tried using
pip install opencv-python
It says to not break the installation rules and that I should use the conda command. How to install opencv and run first program on it in anaconda3 5.0.0 and python 3.6.2?
Ideall you shouldn't mix conda installed and pip installed packages - it confuses the dependencies when it comes to updates. Although you can use pip install opencv-python and opencv will work perfectly well within anaconda.
Instead you need to select opencv3 (assuming you want v3) from a specific repository
conda install -c menpo opencv3
ps. I don't know why it isn't included as standard and why have to know/search for the specific repository!
Good day,
My colleague asked my to install Anaconda and mayavi and I am novice with this topic and I decided to do the tasks on a new ubuntu installation
Here are my tasks before my issue
I fresh installed a Ubuntu 16.04
I ran all update apt-get update/upgrade
I created an user account (anna) and add it in sudo group
I loged into anna account
I downloaded Anaconda2-4.4.0-Linux-x86_64.sh for python 2.7
I installed with the command sudo bash Anaconda2-4.4.0-Linux-x86_64.sh
I installed anaconda in /opt/anaconda2 instead to the /home/anna/anaconda2 (for all user usage) and I say YES to have the line export PATH="/opt/anaconda2/bin:$PATH" in .bashrc file of anna
I run source /home/anna/.bashrc
After the anaconda installation, I could see a successful message regarding the installation
Now my colleague asked me to install mayavi and she provided me the following link mayavi
Then I simply enter the following command
conda install -c anaconda mayavi=4.5.0
And here start my problem. I can not well understand the conflict but apparently there is a conflict and I have no idea how to solve it. Here is the command and the message
anna#pc17:~$ conda install -c anaconda mayavi=4.5.0
Fetching package metadata ...........
Solving package specifications: .
UnsatisfiableError: The following specifications were found to be in conflict:
- mayavi 4.5.0* -> pyqt 4.* -> qt >=4.8.6,<5.0
- mayavi 4.5.0* -> pyqt 4.* -> sip >=4.16.4,<4.18
- navigator-updater -> pyqt >=5.6 -> qt 5.6.*
Use "conda info <package>" to see the dependencies for each package.
I have no idea what does mean the above message and how to solve me problem.
Is there depencies that I have to additionally install?
For information the above command return me this:
anna#cryospc17:~$ python --version
Python 2.7.13 :: Anaconda 4.4.0 (64-bit)
anna#cryospc17:~$ python3 --version
Python 3.5.2
Did I correctly try t install mayavi?
Thank a lot for any help you can provide me
To complete the install of mayavi, you have to first install the following depence
conda install -c anaconda vtk=6.3.0
conda install -c anaconda pyside=1.2.1
Then install mayavi
conda install -c anaconda mayavi=4.5.0
It may possible, you have to remove pyqt
conda uninstall pyqt
We finally could install anaconda and mayavi sucessfully.
I hope it help
Cheers
This might be helpfull to others. It must be anaconda for python 2.7 currently and the follows worked.
Install anaconda for python 2.7, then try the follows:
conda uninstall pyqt
conda uninstall navigator-updater
conda install pyqt=4
conda install vtk
conda install envisage
conda install pyside
conda install apptools=4.4.0
conda install mayavi
when I try to install TensorFlow by cloning from Git, I run into the error "no module named copyreg," so I tried installing using a virtualenv. However, I then run into this error:
pip install https://storage.googleapis.com/tensorflow/mac/tensorflow-0.5.0-py2-none-any.whl
tensorflow-0.5.0-py2-none-any.whl is not a supported wheel on this platform.
I don't see this under the common problems section.
I am using OS X v10.10.5 (Yosemite) and Python 3.4.3, but I also have Python 2.7 (I am unsure if pip differentiates between these or how to switch between them).
I too got the same problem.
I downloaded get-pip.py from https://bootstrap.pypa.io/get-pip.py and then ran python2.7 get-pip.py for installing pip2.7.
And then ran the pip install command with python2.7 as follows.
For Ubuntu/Linux:
python2.7 -m pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whl
For Mac OS X:
python2.7 -m pip install https://storage.googleapis.com/tensorflow/mac/tensorflow-0.5.0-py2-none-any.whl
This should work just fine as it did for me :)
I followed these instructions from here.
After activating the virtualenv, be sure to upgrade pip to the latest version.
(your_virtual_env)$ pip install --upgrade pip
And now you'll be able to install TensorFlow correctly (for Linux):
(your_virtual_env)$ pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.7.0-py2-none-linux_x86_64.whl
I was trying to do the Windows-based install and kept getting this error.
It turns out you have to have Python 3.5.2. Not 2.7, not 3.6.x-- nothing other than 3.5.2.
After installing Python 3.5.2, the pip install worked.
Make sure that the wheel is, well, supported by your platform. Pip uses the wheel's filename to determine compatibility. The format is:
tensorflow-{version}-{python version}-none-{your platform}.whl
I didn't realize that x86_64 refers to x64, I thought it meant either x86 or x64, so I banged my head against this futilely for some time. TensorFlow is not available for 32-bit systems, unless you want to compile it yourself.
It seems that TensorFlow only works on Python 3.5 at the moment. Try to run this command before running the pip install
conda create --name tensorflow python=3.5
After this, run the following lines:
For CPU:
pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.1.0-cp35-cp35m-win_amd64.whl
For GPU:
pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-1.1.0-cp35-cp35m-win_amd64.whl
It should work like a charm.
On Windows 10, with Python 3.6.X version I was facing the same. Then after checking deliberately, I noticed I had Python-32 bit installation on my 64-bit machine. Remember TensorFlow is only compatible with a 64-bit installation of Python. Not 32 bit of Python
If we download Python from python.org, the default installation would be 32 bit. So we have to download the 64 bit installer manually to install Python 64 bit. And then add
C:\Users<username>\AppData\Local\Programs\Python\Python36
C:\Users<username>\AppData\Local\Programs\Python\Python36\Scripts
Then run gpupdate /Force on the command prompt. If the Python command doesn’t work for 64 bit, restart your machine.
Then run the Python interpreter on the command prompt. It should show 64 bit
python
Python 3.6.3 (v3.6.3:2c5fed8, Oct 3 2017, 18:11:49) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
Then run the below command to install the TensorFlow CPU version (recommended)
pip3 install --upgrade tensorflow
The pip wheel file contains the Python version in its name (cp34-cp34m). If you download the .whl file and rename it to say py3-none or instead, it should work. Can you try that?
The installation won't work for Anaconda users that choose Python 3 support, because the installation procedure is asking to create a Python 3.5 environment and the file is currently called cp34-cp34m. So renaming it would do the job for now.
sudo pip3 install --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.7.0-cp34-cp34m-linux_x86_64.whl
This will produce the exact error message you got above. However, when you will download the file yourself and rename it to "tensorflow-0.7.0-py3-none-linux_x86_64.whl", then execute the command again with the changed filename, it should work fine.
For Windows 10 64 bit:
I have tried all the suggestions here, but finally I got it running as follows:
Uninstall all current versions of Python
Remove all Python references in the PATH system and user environment variables
Download the latest 64-bit version of Python 3.8: Python 3.8.7 currently, not the latest 3.9.x version which is the one I was using, and not 32 bit.
Install with all options selected, including pip, and including the PATH environment variable
pip install tensorflow (in an administrator CMD prompt)
Upgrade pip if prompted (optional)
Actually, you can use Python 3.5.*.
I successfully solved this problem with Python 3.5.3. Modify the Python version to 3.5.* in Conda. See Managing Python.
Then go to https://www.tensorflow.org/install/install_windows, and repeat from "Create a Conda environment named tensorflow by invoking the following command" bla, bla...
Maybe you are installing the wrong pre-build binary?
Check on https://github.com/lakshayg/tensorflow-build
For my Coffee Lake processor on Ubuntu 18.04 (Bionic Beaver) the download URL was:
https://github.com/lakshayg/tensorflow-build/releases/download/tf1.12.0-ubuntu18.04-py2-py3/tensorflow-1.12.0-cp36-cp36m-linux_x86_64.whl
pip install --ignore-installed --upgrade <PATH>
resolved the issue for me.
I was trying to install from source and got that error. (Why would a wheel built on this machine not be compatible with it?)
For me, the tag --ignore-installed made all the difference.
pip install --ignore-installed /tmp/tensorflow_pkg/tensorflow-1.8.0-cp36-cp36m-linux_x86_64.whl
worked, while
pip install /tmp/tensorflow_pkg/tensorflow-1.8.0-cp36-cp36m-linux_x86_64.whl
threw the abovementioned error.
Context: Conda environment; it might have been a problem specific to this
I was trying to install CPU TensorFlow on Ubuntu 18.04 (Bionic Beaver), and the best way (for me...) I found for it was using it on top of Conda, for that:
To create a Conda ‘tensorflow’ environment. Follow How to Install Anaconda on Ubuntu 18.04
After all is installed, see Getting started with conda. And use it according to Managing environments
conda create --name tensorflow
source activate tensorflow
pip install --upgrade pip
pip uninstall tensorflow
For CPU: pip install tensorflow-cpu, for GPU: pip install tensorflow
pip install --ignore-installed --upgrade tensorflow
Test TF E.g. on 'Where' with:
python
import tensorflow as tf
>>> tf.where([[True, False], [False, True]])
Expected result:
<tf.Tensor: shape=(2, 2), dtype=int64, numpy=
array([[0, 0],
[1, 1]])>
After the Conda upgrade, I got:
DeprecationWarning: 'source deactivate' is deprecated. Use 'conda deactivate'.
So you should use:
‘conda activate tensorflow’ / ‘conda deactivate’
I faced the same issue and tried all the solutions that folks suggested here and other links (like Platform not supported for TensorFlow on Ubuntu 14.04.2).
It was so frustrating because using print(wheel.pep425tags.get_supported()) I could see that my Ubuntu supported ('cp37', 'cp37m', 'linux_x86_64') and that was exactly what I was trying to install (from https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.14.0-cp37-cp37m-linux_x86_64.whl).
What at the end fixed it was to simply download the package first and then
pip install tensorflow-1.14.0-cp37-cp37m-linux_x86_64.whl
It means that the version of your default Python interpreter (python -V) and the version of your default pip (pip -V) do not match. You have built TensorFlow with your default Python interpreter and trying to use a different pip version to install it.
In Mac, delete /usr/local/bin/pip and rename (copy) pipx.y (whatever x.y version that matches your Python version) to pip in that folder.
This worked for me.
system requirement Python 3.7–3.10
macOS 10.12.6 (Sierra) or later (no GPU support)
pip install tensorflow-macos