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Using 0% of GPU #92
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Are you able to use the GPU with other TensorFlow-based frameworks? (i.e. you're using an nVidia GPU w/ CUDA installed correctly) |
I'm using a GTX 1060 and I have the drivers installed, do I need to install the CUDA Toolkit (2.1GB)? |
Likely yes, with CuDNN as well. (I'm not an expert on setting up CUDA/CuDNN on local computers, but there are tons of Deep Learning tutorials on the internet saying how) |
Not sure what I'm supposed to do with the CuDNN library as it seems to be for C++ development. Installing the toolkit just says that it will install an older version of the Nvidia drivers even thought I got the latest CUDA Toolkit available. Uninstalling tensorflow and only using tensorflow-gpu just spits out an error about tensorflow missing. |
I'm having this same issue -- other scripts using tensorflow utilize the GPU correctly, but for some reason it stays at 0% with this library. Edit: tensorflow does see the GPU when I run textgenrnn:
but doesn't use it for training. |
I have this same issue. I installed tensorflow-gpu, as well as CUDA and cuDNN but still nothing. |
Hey! I fixed this by installing TensorFlow-gpu version 1.6.0 by using pip. (pip install tensorflow-gpu==1.6.0) then installing the Cuda Toolkit v9.0.0, and CuDNN v7.0.5 for Cuda 9.0. now it trains on GPU just fine! hope this helps |
Thank you! I'm not sure which specific one it was, but using the versions you mention solved the issue. |
No problem man. Glad I could help. |
Good to hear the issues were resolved! :) |
It's purely using my CPU.
I can't find anything about GPU settings other than multi_gpu, which spits out an error saying "Division by zero."
Is there anything I'm missing?
Using version 1.4.1 straight from Pip, and I have tensorflow-gpu installed.
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