TensorFlow : failed call to cuInit: CUDA_ERROR_NO_DEVICE

Question

My test :

import tensorflow as tf
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()`

Error :

c:\l\work\tensorflow-1.1.0\tensorflow\stream_executor\cuda\cuda_driver.cc:405]

failed call to cuInit: CUDA_ERROR_NO_DEVICE

-> but "/cpu:0" works fine

Config :

nvidia-smi :

CUDA Version 9.1
tensorflow-1.1.0
Windows 10
cudnn64_7.dll (installed in C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.1\bin)
Only tensorflow-gpu is installed in my Conda environment

Why can't Tensorflow detect my GPU ?

If you're using Tensorflow 1.1 from the prebuild binaries, you need CUDA 8 and cuDNN 5.1. Did you build this yourself? — GPhilo
I have updated Tensorflow to v1.5. The error message disappeared but it is still using my CPU instead of my GPU. Do you what could be the reason? — Vincent Roye
You installed via pip "tensorflow" instead of "tensorflow-gpu" perhaps? — GPhilo
Now I'm on : - Tensorflow-gpu 1.6 - CUDA 9.0 - Cudnn 7.0 Still : failed call to cuInit: CUDA_ERROR_NO_DEVICE — Vincent Roye

mrry mrry · Accepted Answer · 2018-02-09T23:08:04

The issue was solved on GitHub. This error message will be shown if you set an invalid value for the CUDA_VISIBLE_DEVICES environment variable, e.g. when you only have a single GPU (which has ID 0) and set CUDA_VISIBLE_DEVICES=1 or CUDA_VISIBLE_DEVICES=2.

TensorFlow : failed call to cuInit: CUDA_ERROR_NO_DEVICE

2 Answers