Nvidia Cudatoolkit vs Conda Cudatoolkit in tensorflow

cuda.md

For install cudatoolkit and cudnn by Anaconda you can use these following command conda install -c conda-forge cudatoolkit=11.2 cudnn=8.1.0 on command prompt

You must aware the tensorflow version must be less than 2.11 for above command

Please check the following website and choose the appropriate versions for TensorFlow, TensorFlow-GPU, CUDA, and cuDNN:

https://www.tensorflow.org/install/source_windows#gpu

https://www.tensorflow.org/install/source_windows#cpu

For check if the everything installed properly

1. In command prompt check nvidia-smi command. if shows command not found you must install the latest GPU driver

2. Use this python script which give given as GPU_test.py to detect gpu by python

GPU_test.py

import tensorflow as tf
    
if tf.config.list_physical_devices('GPU'):
    print('GPU is available.')
else:
    print('GPU is NOT available. Make sure TensorFlow version less than 2.11 and Installed all GPU drivers.')

config = tf.compat.v1.ConfigProto()
    
config.gpu_options.allow_growth = True 

session = tf.compat.v1.Session(config=config)