could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR

Question

I installed tensorflow 1.0.1 GPU version on my Macbook Pro with GeForce GT 750M. Also installed CUDA 8.0.71 and cuDNN 5.1. I am running a tf code that works fine with non C

Answer 1

In Tensorflow 2.0, my issue was resolved by setting the memory growth. ConfigProto is deprecated in TF 2.0, I used tf.config.experimental. My computer specs are:

• OS: Ubuntu 18.04
• GPU: GeForce RTX 2070
• Nvidia Driver: 430.26
• Tensorflow: 2.0
• Cudnn: 7.6.2
• Cuda: 10.0

The code I used was:

physical_devices = tf.config.experimental.list_physical_devices('GPU')
assert len(physical_devices) > 0, "Not enough GPU hardware devices available"
config = tf.config.experimental.set_memory_growth(physical_devices[0], True)