[FIXED] TensorFlow : failed call to cuInit: CUDA_ERROR_NO_DEVICE

Issue

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 ?

Solution

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.

Answered By - mrry