We encourage the community to build and share binaries for older CPU models.

Any chance for you to make the build for the community?

FYI, here is a Docker image that can build TensorFlow https://github.com/hadim/docker-tensorflow-builder. It can help to compile TF on a wide range of configurations as long as you have Docker installed on it.

We encourage community supported wheels because for the officially blessed binaries we would like to run rigorous tests.
For just building, we encourage the community to build and share.

@gunan Will this change with tensorflow/community#2?

In the short term that involves this immediate design, no.
However this design is a part of a larger effort that will bring back support for older CPUs.
That will likely take longer to implement.

CMake version on the other side on windows does not have AVX at all. I needed to enable it explictly locally.

I've gone ahead and compiled GPU only builds for Tensorflow v1.10.1 against CUDA 9.1 + cuDNN 7.1, and CUDA 9.2 + cuDNN 7.2 and made the wheels and build info available here.

Huge thanks to all of the contributors and the supporting open source community.

Special thanks to @hadim for making his docker-tensorflow-builder available - it served as a great basis to generate these wheels. 🎉

hi! can i built tensorflow 2.0 without AVX for windows with docker-tensorflow-builder ?

@s-afanasiev for windows you can find wheel here https://github.com/fo40225/tensorflow-windows-wheel

Check this repo for more unofficial wheels: https://github.com/yaroslavvb/tensorflow-community-wheels/issues
I found the right one for our server. YAY!

Something really strange happened to me regarding this issue: I have an i5-3230M CPU, and I was using tensorflow 2 without any problem until yesterday, that I decided to reinstall ubuntu in the machine. As a result, now pip-installed tensorflow cannot be imported. Same machine, same CPU.

Does anyone know where we can track progress on the effort to support legacy CPUs mentioned earlier in this thread?