Question

Error when using Tensorflow "failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected"

I have manage to install TensorFlow onto my droplet, and have been able to import it in python. However whenever I try to run the code using tensorflow, for example model.predict(features) I get the the following errors:

2022-08-31 20:31:37.675437: E tensorflow/stream_executor/cuda/cuda_driver.cc:271] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected 2022-08-31 20:31:37.676153: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (pyalgo): /proc/driver/nvidia/version does not exist 2022-08-31 20:31:37.676861: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instruct

Any suggestions as to how I could fix this?


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Bobby Iliev
Site Moderator
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September 2, 2022

Hi there,

Have you tried adding the following to your python script:

import os
os.environ['CUDA_VISIBLE_DEVICES'] = "0"

Let me know how it goes.

Best,

Bobby