Data Science Asked by Sajied Shah Yousuf on September 4, 2021
I installed cuda-11.0 and cuDNN-8.2 and Tensor-RT 7.1. And then installed tensorflow-gpu. But tf.is_gpu_available()
is showing False.
Actually, I installed tensorflow-gpu first. I have pip3 20.1.1 and Nvidia GForce 930MX and Ubuntu 20.04.
Tensorflow could not found gpu because, the Cuda Toolkit version was 11. But, cuDNN version was 8.2RC + cuda 11. But in Tensorflow-2.2.0 it will work when cuda toolkit and cudnn both has cuda of version 10.1. Cuda 11.0 is not supported.
Answered by Sajied Shah Yousuf on September 4, 2021
Right now Tensorflow 2.1 doesn't support CUDA 11.0. Downgrade CUDA to version 10.1 and try again.
Reference: https://www.tensorflow.org/install/gpu
Answered by Juan Camilo Fernandez on September 4, 2021
for macosx/linux tensorflow gpu installation - https://www.youtube.com/watch?v=MpUvdLD932c&list=PLjy4p-07OYzulelvJ5KVaT2pDlxivl_BN&index=8. for windows 10 - https://www.youtube.com/watch?v=qrkEYf-YDyI&list=PLjy4p-07OYzulelvJ5KVaT2pDlxivl_BN&index=9
Answered by khwaja wisal on September 4, 2021
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