Tf.test.is_gpu_available() returns False

Accelerated Computing CUDA CUDA Setup and Installation
1

I use NVIDIA GeForce 1050 Ti.
I have installed CUDA Toolkit 10.0 and [ cuDNN v7.6.5 (November 5th, 2019), for CUDA 10.0]
When I run tf.test.is_gpu_available() it returns False.
print(tf.test.is_built_with_cuda()) returns True.
What is it that I am missing?

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1 Like
2

Hello,

I’m having the same issue with *tf.test.is_gpu_available() and tf.test.is_built_with_cuda(). Did you have any luck?

Cheers