A TensorFlow 2.0 .whl file built with an old processor/computer (for Linux).
As this file is too big for GitHub I upload it on MediaFire.
Follow this link : http://www.mediafire.com/file/w4iduu2ypqefd98/tensorflow-2.0.0-cp36-cp36m-linux_x86_64.whl/file
As you may know, since TensorFlow 1.6, official binaries use AVX instructions which may not run on older CPUs. I compiled this 2.0 version under Ubuntu 18.04.3 LTS with a HP Pavillon dv6 notebook running with an Intel Core 2 duo T6600 @2.20GHZ x 2 which is an old CPU (2009) not compatible with AVX instructions nor SSE.
See Technical Specifications for this CPU on Intel WebSite : https://ark.intel.com/content/www/us/en/ark/products/37255/intel-core-2-duo-processor-t6600-2m-cache-2-20-ghz-800-mhz-fsb.html
(you can check your own CPU on this site)
Download the file in a directory for example /tmp/tsf :
/>cd tmp
/tmp>mkdir tsf
/tmp>cd tsf
/tmp/tsf>wget http://www.mediafire.com/file/w4iduu2ypqefd98/tensorflow-2.0.0-cp36-cp36m-linux_x86_64.whl
Then install the .whl file as a standard library in your Python env :
/tmp/tsf>pip install tensorflow-2.0.0-cp36-cp36m-linux_x86_64.whl
If you want to install this tensorflow in a specific python/Anaconda environment, please don't forget to activate it before :
(base) /tmp/tsf>conda activate myenv
(myenv) /tmp/tsf>pip install tensorflow-2.0.0-cp36-cp36m-linux_x86_64.whl