Comments (4)
Tensorflow is officially supported for rpi's now. Installing should be a easy as pip install tensorflow
https://medium.com/tensorflow/tensorflow-1-9-officially-supports-the-raspberry-pi-b91669b0aa0
https://www.tensorflow.org/install/install_raspbian
from berryconda.
How did you install Tensorflow? The rpi
channel does not contain a tensorflow package.
from berryconda.
Firstly I searched for It using the following command:
anaconda search -t conda tensorflow
then It displayed for me a list of the available packages, I choose the one which is suitable for Raspberry pi 3 platform, then I Run the following command:
anaconda show
to guide me how to install it
conda install --channel <package name/ channel >.
And to make sure it was installed I typed
conda list
and tensorflow was appearing in the list, however; when I try to use import tensorflow it showed me an error. Then I realized that there is something wrong, so I installed using pip.
So, maybe using "conda list" to check whether the package is installed or not is not enough.
Thank you so much for your replay.
from berryconda.
Currently getting tensorflow via conda for ARM devices is challenging. I would recommend you following next steps
- Create Python 3.5 environment as
conda create -n YOUR_NAME python=3.5
- Download suitable for you version from https://github.com/lhelontra/tensorflow-on-arm/releases
- Install it via
pip
in your environment
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