TensorFlow binary was not compiled to use: AVX2 14:36:04.376661: I T:\src\github\tensorflow\tensorflow\core\platform\cpu_feature_:140] Your CPU supports instructions that this (tf_clean) C:\python_code\test>C:/anaconda/envs/tf_clean/python.exe c:/python_code/test/tf_test.py
Have I written custom code (as opposed to using a stock example script provided in TensorFlow):. So I tried to find wheels for tensorflow with compute capability 6.1 for windows, but the only one I found and tested produced the same problem.Īm I doing something wrong here, or do I just have to accept the 2min delay everytime I start my tensorflow/keras scripts? System information A NVIDIA employee on stackoverflow suggested, I may be hitting a lengthy JIT compile step, because the GTX 1080 has compute capability of 6.1, which the wheel I used may not be compiled for. When I tested this with another wheel ( which is linked in this tutorial, I did not compile it myself.) on cuda 9.1/cudnn7.0.5, I had the same issues. The issue is still the same.ĬUDA works, since it prints the 'Hello, TensorFlow!', when I use the official test example, but before that it takes like 2minutes every time! To make sure, I pip-installed tensorflow-gpu into a fresh anaconda env. I have CUDA 9.0, so I downloaded CuDNN 7.0.5 for CUDA 9.0 and pasted the files to *C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0*, overwriting the ones form cuDNN 7.1.2, which I tested earlier. Tensorflow site says, I should use CUDA® Toolkit 9.0 and cuDNN v7.0. 
I've been trying to find out, why this happens, and nothing really worked so far. I noticed that tensorflow always takes about ~2min before it actually starts to compute.
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