Step by step instruction to install Cuda, Cudnn , Tensorflow and Pytorch for GPU environment

To install CUDA, CUDNN, TensorFlow, and PyTorch for GPU, you will need to follow the steps below:

1. Install NVIDIA drivers:

• Check if you have an NVIDIA GPU in your system by running the command lspci | grep -i nvidia in the terminal.
• If you do not have an NVIDIA GPU, you will not be able to use CUDA and CUDNN.
• If you do have an NVIDIA GPU, you will need to install the appropriate NVIDIA drivers for your GPU. You can find the latest drivers on the NVIDIA website (https://www.nvidia.com/Download/index.aspx).
• Follow the instructions provided on the NVIDIA website to install the drivers.

2. Check the version here:

• Check here the version (https://www.tensorflow.org/install/so).

     3. Microsoft Visual Studio:

• Check here  (https://visualstudio.microsoft.com/vs/community/).
• Follow the instructions provided in the installer to install Visual studio on your system.

      4. Install CUDA:

• Download the CUDA installer from the NVIDIA website (https://developer.nvidia.com/cuda-downloads).
• Follow the instructions provided in the installer to install CUDA on your system.

3. Install CUDNN:

• Download the CUDNN installer from the NVIDIA website (https://developer.nvidia.com/rdp/cudnn-download).
• Follow the instructions provided in the installer to install CUDNN on your system.

4. Install TensorFlow:

• Install TensorFlow with GPU support by using the following command:

conda create --name tf_2.4 python==3.8
activate tf_2.4
pip install tensorflow-gpu

5. Install PyTorch:

• Check here the compatibility version (https://pytorch.org/get-started/previous-versions/) or (https://pytorch.org/get-started/locally/)
• Install PyTorch with GPU support by using the following command:

#CUDA 11.3
pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu113

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#CUDA 11.6 conda install pytorch torchvision torchaudio pytorch-cuda=11.6 -c pytorch -c nvidia

Note: These instructions are for installing the latest versions of CUDA, CUDNN, TensorFlow, and PyTorch. If you want to install specific versions, you will need to specify the version numbers in the relevant commands.

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