Hi,
I have cuda 10.1 version installed (and Nvidia RTX 3070 in an egpu) and following all the step in Accelerating Machine Learning on a Linux Laptop with an External GPU | NVIDIA Technical Blog
I used tensorflow as:
import tensorflow as tf
print("Num GPUs Available: ", len(tf.config.experimental.list_physical_devices(‘GPU’)))
Num GPUs Available: 1
But when I put:
tf.test.is_gpu_available()
RuntimeError: CUDA runtime implicit initialization on GPU:0 failed. Status: device kernel image is invalid
The problem is de cuda version??
the card work with a low version of cuda (10.1)??
Thanks for all your help!