21:09:14.761086: I tensorflow/compiler/xla/stream_executor/cuda/cudart_:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine. 21:09:14.761050: W tensorflow/compiler/xla/stream_executor/platform/default/dso_:64] Could not load dynamic library 'libcudart.so.11.0' dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 21:09:14.592167: I tensorflow/core/platform/cpu_feature_:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA

Or should I have a Nvidia GPU to run TensorFlow? $ /bin/python '/home/ninelights/TensorFlow/1.py' Is that about right?īTW the budget laptop I want to buy meets all other Minimum requirements, just not the graphics card requirement I guess.Is there a way to run TF with intel graphics? So I’m wondering if that is why Blender doesn’t work on such budget laptops(since it says it requires 1 GB dedicated ram) or is it something else? I’m actually a laymen when it comes to detailed tech lingo(though I’m a quick study), but what I gather is without dedicated graphics card ram Blender 2.8 or higher wont work.

I’m new to Blender and have been trying to do my own research in order to use Blender on the road(budget laptop/chromebook) while I’m on a 3 month backpacking trip I have coming up(I running from the cold lol)! Sadly the Worst thing about anything “open source” is proper detailed info on it(forums, review websites, and so on) is always so scattered and mostly garbage and/or just “opinions”!īlender 2.8 works fine on my AMD Ryzen5 3600 - AMD RX580 desktop so no worries there, but the laptop I’m thinking of buying is literally bare minimum specs, with only an UHD Graphics 600(which evidently has no dedicated graphics ram) and it looks like the 620 might have the same issue.

Intel 620 graphics card