为什么 Tensorflow 2.3.0 找不到我的 GPU 卡？

Question

All needed software are installed, Graphics card drivers for Gefore RTX 2060, CUDA 10.1, cuDNN 8.0.2.39, Anaconda3, TensorFlow 2.3.0. All according to Nvidias installation guide, making sure all versions work together.

However, I cannot find any GPU device from Jupyter Notebook. (Jupyter Notebook Code is provided down below)

Tensorflow 2.3.0 should automatically have GPU support, according to tensorflow.org. Which meens no need to install tensoflow-gpu. Right?

Your help is much appreciated. Thank you!

---

Underlying hardware and software:

windows 10 (64 bits)

Geforce RTX 2060 (driver version 442.23)

CUDA 10.1

cuDNN 8.0.2.39

Anaconda3

Tensorflow 2.3.0

---

import tensorflow as tf

import warnings

#check for GPU

if not tf.test.gpu_device_name():
   warnings.warn('No GPU found. Please ensure you have installed TensorFlow correctly')
else:
   print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))


#print TensorFlow version
print('TensorFlow Version: {}'.format(tf.__version__))

output:

<ipython-input-2-d8dd4f5b3689>:10: UserWarning: No GPU found. Please ensure you have installed TensorFlow correctly

TensorFlow Version: 2.3.0

Answer 1

With CUDA 10.1 documentation says you should be using cuDNN v 7.6.5. Documentation is here