I'm trying to run a program in my Raspberry but i can't because it needs at least TensorFlow 2.2.0, while I have TensorFlow 2.0.0 . I tried several times to install TensorFlow 2.2.0 and 2.3.0 . But after install it, it always comes that is 2.0.0 still.
Versions of TensorFlow
Somebody can tell me what happens? Thank you!!
Try to find the package in the /python3.x/site-packages and remove the tensorflow directory using rm.
Then install the needed tensorflow version following the installation instruction found here in the official documentation of tensorflow.
Also attaching the image from the comment of #pablo Gracia S.
Related
I'm currently working on a program to play a game similar to atari-games. I'm using keras (python 3). I finished writing the code and I want to test it, and I have few questions about the process:
first of all, I have trouble importing tesnorflow for some reason. I've installed it using pip. I've made sure to created new env. before the installation (which finished successfully), but when I try to run my program it says:
ModuleNotFoundError: No module named 'tensorflow'
I also, tried to install the package from within pycharm, but then I get this error:
Could not find a version that satisfies the requirement tensorflow (from versions: )
No matching distribution found for tensorflow
I've checked program requirements (such as pip, python, virtualenv and setuptools versions) and everything seems up to date. perhaps someone could point out what else might be the problem?
Is there any other way I can test the performance of my program?
Thank you very much for your time and attention.
Anaconda is a complete time-saver. I suggest create an enviornment using Anaconda and install the tensorflow by conda install tensorflow If you would like to use the gpu version, conda automatically installs the CUDA and cudnn for you too.
1.Create a new environment through conda create --name tftest. (You can replace tftest with e.g. the name of your current project.)
2.Activate that new environment through activate tftest.
3.Install TF into this environment through conda install tensorflow.
4.Ensure that you're in the right environment through where python (which should produce a path containing "tftest").
5.Run Python through python.
6.import tensorflow as tf in a shell in that environment.
Thanks to great community as I found this thanks to another post!!!
Starting with version 1.6.0, prebuild binaries need AVX instructions.
There are some bug reports by people who tried to use the precompiled binaries but whose doesn't support AVX instructions and got the same error as you posted here:
https://github.com/tensorflow/tensorflow/issues/17761
https://github.com/tensorflow/tensorflow/issues/17386
Maybe you have this problem? If yes, you may have to build tensorflow from sources or downgrade to tensorflow 1.5.1.
I'm beginer on tensorflow and i want to install the gpu version with cuda 9.0. The problem is that my gpu (Nvidia mx150) doesn't work with cuda 9.0 (only with cuda 9.1)... So i tried to compile my own version of tensorflow with cuda 9.1. But I'm still blocked cause during the compilation the compiler find an error so it doesn't compile... I don't know why but it's very frustrating. So if you have an already compiled version of tensorflow with cuda 9.1 I'm very intrested !
thanks in advance !
I had the exact same problem a few weeks ago.
The problem is that the current version of TensorFlow (1.7) does not support CUDA9.1, please check this issue comment and the discussion below.
Here are some options that I found:
Compile TensorFlow from the source code by your own
Find an existing whl file. ex. I fixed the issue by using a whl from the repo (same as Y. Luo's answer)
Downgrade to CUDA 9.0
Wait until Tensorflow supports CUDA9.1 :)
If you don't have to use tensorflow 1.7, this repository might have what you want. Just to be clear, I never tried any of them myself.
If you need to install on Windows, this repository might be helpful.
I'm new to tensorflow and I'm having some problems with the installation. I searched through the official website, without any success. My computer runs on windows, with python version 3.4. None of the sources on the internet seemed to have any command lines for this specific case.
I would greatly appreciate your help:)
I'm pretty sure they added support for python 3.5 only,
But lately they added support for python 3.6 as well.
The only way i can see is that you would have to upgrade, I'm not such a pro with this but that's all i know because i had an import problem with tensorflow which i haven't been able to solve since
You can get the full instructions at Install TF on Windows
I hope you already installed python3 and pip3, if not follow
C:\> pip3 install --upgrade tensorflow
Upon trying to install Tensorflow for conda environment, I encountered with the following error message, without any progress:
tensorflow-1.1.0-cp35-cp35mwin_amd64.whl is not a supported wheel on this platform
Have you tried uninstalling and re-installing TensorFlow using pip within your Conda environment? I.e.:
pip uninstall tensorflow
Followed by:
pip install tensorflow
If it doesn't work, the issue may be with your Python installation. TensorFlow only supports 64-bit Python 3.5+ on Windows (see more info here).
Perhaps you have Python's default installation, which comes in a 32-bit version. If that's the case, you can download the 64-bit Python 3.5 or later from here to run in your Conda environment and then you should be able to install/run TensorFlow without any issues.
Make sure that the Python version installed in the Environment is 3.5 not 3.6. Since 3.6 was released Conda automatically sets that version as default for python 3. However, it is still not supported by Tensorflow.
You can work using tensorflow library along with other essential libraries using the Dockerfile. Using Docker for environment are a good way to run experiments in reproducible manner as in this blog
You can also try using datmo in order setup environment and track machine learning projects for making it reproducible using datmo CLI tool.