пн, 10 янв. 2022 г. в 18:16, Mark Knecht <markkne...@gmail.com>: > > <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.
It is a dual boot. (Sorry for the late reply.) > 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. My hardware cannot run tensorflow precompiled by Ubuntu. However, some versions of tensorflow successfully compile and run in Gentoo: - all versions of tensorflow-2.5 fail to compile in Gentoo; - tensorflow-2.7.0 successfully compiled on 21-11-2021; - on 30-12-2021 recompilation of the same tensorflow-2.7.0 failed because of some changed dependencies; - I have not yet tried to compile tensorflow-2.8.0. Actually, I gave up trying to compile it and deleted it from my system. Moreover, I am not going to compile it in the near future as I am now in the war zone. > 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. In addition to the old CPU, I have quite an old video card, namely, ATI R4770. However, I still believe that it is possible to compile tensorflow so that it could run on my hardware. At least, I did it for tensorflow-2.7.0 on 21-11-2021.
