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