Install Tensorflow 2.x only for CPU using PIP

Question

how do you install only a CPU version of Tensorflow 2.x using pip ? In the past, it was possible to install this 2 different versions.

Since I am running the scripts in a nonen GPU device ( without envidia card, intel card available without cuda support), I am getting following error:

2020-04-14 23:28:14.632879: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2020-04-14 23:28:14.632902: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303)

In the past my workaround was to use a CPU only version.

Thanks for the hints in advance

Answer 1

You can choose the CPU-only version of tensorflow depending on your python version. Check the list here: https://www.tensorflow.org/install/pip#package-location

e.g. you will need to do the following for Python 3.8:

pip3 install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow_cpu-2.3.0-cp38-cp38-manylinux2010_x86_64.whl

Answer 2

Issue solved after installing a CPU only version.

I used pin tensorflow-cpu and the version of the release. Somehow the fallback solution for CPU did not work in my setup.