TensorFlow GPU on Ubuntu 24.04: The Complete Guide (CUDA, cuDNN, TensorRT) - Jupyter lab and VS Code
Ready to unlock the power of TensorFlow GPU on your Ubuntu 24.04 machine? This comprehensive guide walks you through the entire installation process, from setting up the NVIDIA drivers to configuring CUDA Toolkit, cuDNN, and TensorRT.
No prior experience necessary! We'll break down each step clearly, making it easy for beginners to follow along.
Boost your Deep Learning workflow by learning how to integrate Jupyter Lab for interactive coding and VS Code for a powerful development environment.
By the end of this video, you'll be equipped to:
Install TensorFlow GPU on Ubuntu 24.04
Configure CUDA Toolkit, cuDNN, and TensorRT for optimal performance
Set up Jupyter Lab for interactive coding
Integrate VS Code for a streamlined development experience
Don't waste time searching for scattered information. This video is your one-stop shop for installing and using TensorFlow GPU on Ubuntu 24.04!
Commands Link:
github.com/mahbub-aumi/tensor...
Пікірлер: 15
Please add me to the list of people praising your efforts here in creating this video. Thank you so much. Your assistance was invaluable. Thanks for sharing your knowledge so completely and simply.
Hi, thank you for the video. I solved these problems with TensorFlow 2.16.1 Thanks again!!!! Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
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@TechJotters24
29 күн бұрын
Thanks for your support!!!
im getting when i try to run the sudo sh command stating failed to verify the gcc version how to fix it?
On the step: ./test_cudnn at 11:09 my initialization has failed. Any thoughts on how to handle it?
@TechJotters24
28 күн бұрын
What errors did you get?
@louisbroucke2990
27 күн бұрын
@@TechJotters24 I have the same issue, no errors. I run test_cudnn and it outputs 'cuDNN initialization failed.' All the previous steps worked though. I have an RTX3060 laptop.
@rafamarinho87
25 күн бұрын
@@TechJotters24 No errors before. Everything exactly like the example. Do you have any tips to debug what is happening when I run "./test_cudnn"? I have an RTX 3050 laptop
@TravelJotter24
25 күн бұрын
@@rafamarinho87hi, can you please send me the errors? I’ll check it.
@rafamarinho87
24 күн бұрын
@@TravelJotter24 I am already sending you the errors I have so far. The only thing I have is "cuDNN initialization failed". The script test_cudnn.c states the following "// test_cudnn.c #include #include int main() { cudnnHandle_t handle; cudnnStatus_t status = cudnnCreate(&handle); if (status == CUDNN_STATUS_SUCCESS) { printf("cuDNN successfully initialized. "); } else { printf("cuDNN initialization failed. "); } cudnnDestroy(handle); return 0; }" So if status was CUDNN_STATUS_SUCCESS it would print "cuDNN successfully initialized". In my case status was not CUDNN_STATUS_SUCCESS because it has printed "cuDNN initialization failed". What I am asking is if you have any tips to understand why cuDNN was not initialized. And even tips to debug the initialization so I can send you the errors
YOU ARE SUCH A LEGEND!!! You made this just for us 🥹🥹🥹🥹 I will acknowledge you in my work. Thanks a lottttt
@TechJotters24
Ай бұрын
Thank you!!!