Setup TensorFlow with GPU Support for VSCode in 20 Minutes
Description:
Learn how to install TensorFlow 2.17 and 2.16 with full GPU support on NVIDIA GPUs. This step-by-step guide covers everything you need, from installing the CUDA Toolkit, cuDNN, and TensorRT, to configuring VSCode with Cody and LLaMA, the open-source code assistant. Perfect for developers aiming to optimize their deep learning workflows on Windows 11 using WSL with Ubuntu.
Timestamps:
00:00 - Introduction
01:08 - Installing WSL Ubuntu 22.04
04:20 - Installing CUDA Toolkit 12.3
08:33 - Setting Up cuDNN 8.9
13:30 - Installing TensorRT
14:15 - Configure bashrc
17:21 - Installing Miniconda
20:47 - Setting up Tensorflow 2.16.1 with GPU Support
23:13 - Setting up Tensorflow 2.17.0 with GPU Support
26:27 - Jupyter lab and ipykernel
30:59 - Installing VSCode
36:42 - Install and configure Ollama
39:13 - Install and Configuring Cody Code Assistance for LLaMA
43:36 - Conclusion
Commands:
https://github.com/mahbub-aumi/wsl_ub...
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#TensorFlow #GPU #NVIDIA #CUDA #cuDNN #TensorRT #VSCode #LLaMA #Cody #DeepLearning