<SNIP> > > Thank you for your reply, Mark. > > Unfortunately, you missed my previous message in this thread > where I wrote that I do have Ubuntu 20.04 on the same computer. > However, tensorflow fails to run on it because it is not compiled > to be inconsistent with my videocard. So, Gentoo is my only option > for this hardware. > <SNIP>
My apologies. This thread has gone on for a while and I had to review to get caught up. OK, so assuming I understand correctly (please correct me if I do not) then you are talking about ONE computer that uses an AMD Phenom II X4 processor. This computer dual boots, or is a Gentoo machine with an Ubuntu VM. In an earlier response to this thread you showed the flags supported by this processor which did not include the AVX, AVX2 or the FMA3/FMA4 flags. It is my understanding that this processor cannot run the current versions of tensorflow whether you compile it yourself or not, at least in the non-GPU version. WRT to your video card, tensorflow does not require the use of a GPU. There are two versions, tensorflow-cpu and tensorflow-gpu. If you were to build the -cpu version then it is my understanding it would run an a headless machine, presuming the processor has AVX/AVX2/FMA hardware support. If the processor DOES have AVX/FMA support but you were having problems emerging TF in Gentoo then a virtual machine running Ubuntu might have helped you as you could use a precompiled apt or snap package. However I don't think anything gets you past not having AVX/FMA hardware support. I am in the same situation. My big machine is an Intel i7 980 Extreme. I used to be able to run TF but have not been able to since Google raised the CPU requirements. If I am not understanding your hardware setup, or you think there is a path around the AVX/FMA hardware problem please let me know and I'll explore it more deeply with you. Cheers, Mark
