Menu
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
214
If a TensorFlow operation has no corresponding GPU implementation, then the operation falls back to the CPU device. For example, since tf. cast only has a CPU kernel, on a system with devices CPU:0 and GPU:0 , the CPU:0 device is selected to run tf. cast , even if requested to run on the GPU:0 device.
TensorFlow requires a recent version of pip, so upgrade your pip installation to be sure you're running the latest version. Then, install TensorFlow with pip. Note: Do not install TensorFlow with conda. It may not have the latest stable version.
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
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.
36
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With
