Setting Up CUDA, CUDNN, Keras, and TensorFlow on Windows 11 for GPU Deep Learning
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- Опубліковано 3 сер 2024
- Complete walkthrough of installing TensorFlow/Keras with GPU support on Windows 11. We make use of a "pip install" rather than conda, to ensure that we get the latest version of TensorFlow. This requires installing Visual C++, CUDA, CuDNN, as well as the Python libraries.
Guide: github.com/jeffheaton/t81_558...
python -m ipykernel install --user --name tensorflow --display-name "Python 3.9 (tensorflow)"
0:54 Installation Guides
2:03 Step 1: NVIDIA Video Driver
3:49 Step 2: Visual C++
7:04 Step 3: CUDA
8:20 Step 4: CuDNN
12:38 Step 5: Anaconda and Miniconda
15:21 Step 6: Jupyter
16:31 Step 7: Environment
17:16 Step 8: Jupyter Kernel
18:13 Step 9: TensorFlow/Keras
19:46 Problems?
21:18 Test Jupyter
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#Python #Tensorflow #Keras - Наука та технологія
Thankyou Sir... Cant express how happy i am after seeing this work. worked for 3 Days to find a correct guilde for this. 5 windows reset so previously experimented stuff don't mess with new installation. Note that version of Tensor flow compactable with this method is till 2.10.0 . after that you need wsl which whole new level of headache to install.
18:35 at this point just change to install tensorflow==2.10.0 . after this follow everything Jeff says.
Thank you for the update, glad it works! This is a really good point, TensorFlow no longer supports native windows install (like this video does) beyond 2.10.0. Future versions need WSL2. I will be posting a video on this next week.
I currently tried everything except for this one...wish me luck...nothing. even that didn't worked. This is tremendously upsetting me that all this process is so freaking hard to get it right.
Any other suggestions? PATHs are correct as the tensorflow version too. I installed the latest cuda which is 2.12 nd the cudnn files but no luck
@@HeatonResearcho
Please...man.. I need big help to use cuda with 2.11 tf..........T.T
@@HeatonResearch Sorry, I can't use it successful and it output the bug of unfound the lib with cudart64_110.dll. However, I have it. Should I install again with it?
@@DukeOfCurling Me too,ended up with false on gpu...think the only option is to try the tensorf version 2.10 or with wsl2
trying that now
Great! it works, after following the entire video. I used this to install tensorflow correctly and avoid conflicts (pip uninstall tensorflow tensorflow-intel keras tensorboard
pip install tensorflow==2.10.0 keras==2.10.0 tensorboard==2.10.0 protobuf==3.19.6 flatbuffers==2.0)
Jeff, I can't help being excited as this great tutorial set to be my research savior. I have been struggling with this since mid 2021, you are great. Thanks a bunch.
cannot express how happy i am to have come acros this video. I may have sunk 5+ hours with all the installations. thanks a bunch
Providing simple seamless setups, doing gods work!
I followed along for the cuDNN part trying to get it to work with a different program. I remember banging my head on a wall trying to get it going on my old Win 10 machine and couldn't figure it out on my new Win 11 machine. Adding the environmental variables did it. Your attempt to make this age well worked, as it still works with Cuda 12.1. Thank you so much.
Thank you Sir for the detailed tutorials! I have spent much time trouble shooting these issues! Now I am ready to learn more on machine learning!
Sir, thank you very much for this tutorial. I was performing this task since 6 hours but in vain. At last got to see your tutorial and finally helped me get the GPU for the Project work. Much appreciated, thanks a lot.
Third version of tensorflow installed since 5/20/20, using your instructions; install ran with no issues, many thanks.
19:55 TRUE. Thanks for putting together a straight-forward guide on this. Many Saturdays were ruined in 2020 when I tried to do this, messed up and had start over!
Thank you so much for this - you made the installation and setup seamless!
Wow... I spent the whole day yesterday struggling with tensorflow gpu installation. Finally got a solution!. Thanks professor.
Great, glad this was helpful.
I watched so many tutorials and googled search, finally your video worked for me. Thank you so much.
love how you opened the windows gui to set the paths!
Thanks for your great tutorial video. I had so many problems with setting up tensorflow on GPU before seeing your video.
You're welcome!
Ah finally, after 3 days of doing this and doing that i finally found an actual video which helped me to install tensorflow.
Sir Jeff, thank you so much! I was able to set up the CUDA stuff (following your detailed explanation) and can run the NVIDIA code samples from GIT. I am really happy! Again, thanks for this video.
Thank you so much for this video! I followed everything in this video perfectly down to the last-minute detail and it worked for me! Also yes you need to install tensorflow version 2.10.0 for this to work! Thank you!
i can't tell you how much i appreciate what you have done, thank you ♥
You are awesome Jeff, thanks for doing these videos they have helped me significantly
Thank you for the nice explanations, I really spent days trying to fix this! I also got some DLL errors, although I did it exactly as in your video. In another guide they copied all the cudnn files in the Cuda subfolders, which seems cleaner. They also added two other lines into path as v11.7\bin and v11.7\libnvpp and the other two v11.7\extras\CUPTI\lib64 and v11.7\extras\CUPTI\include. That worked for me
Thank You so much. Finally able to use the GPU
Jeff... i love you. thanks for providing a thorough af guide.
Thanks a lot, this was very helpful and a great guide.
This video solved a lot of trouble for me .... Thanks
this is the best tutorial on cuda setup
Very helpful video Jeff! Thanks a lot!
I was unable to see my GPU for: tf.config.list_physical_devices()
I found out that tensorflow does not support gpu after 2.10.0 for Windows so I got that version and python 3.9 or 3.10 and finally everything worked.
If anyone is facing the same problem, follow jeff's steps and use the above configuration I mentioned.
i love you with all of my heart. thank you so much for this Jeff!
It helped me a lot, thanks for doing this!
The best video found after one month
Mr. Heaton! Thank you very much!! You are amazing!! It just helped me a lot!! Due to my GPU hardware (GTX family), I had do install precisely as you've shown and worked perfectly!! Oh, guys, I had to use TF 2.10
Thanks very much. Tried many ways but today it worked successfully👍...
Hey Satyasheel, in the latest tensorflow documentation, i cannot find any paths for cudadnn. did you skipped that part?
You are a god-send. I could not for the life of me get CUDA to install properly, turns out I needed to install that MS community edition software first.
Thank you so much for this! Very helpful!!
You're so welcome! Thanks!
Professor, I think I love you... You saved my day!
Glad to hear it!
Thank you !
Just a little update regarding the installation of ip kernel.
Run the following command:
conda install -c anaconda ipykernel
After following this video, if you're kernel stops after you try to train a neural net in jupyter and your anaconda prompt says "Could not locate zlibwapi.dll. Please make sure it is in your library path!" Try to locate this file in “C:\Program Files\Microsoft Office
oot\Office16\ODBC Drivers\Salesforce\lib” and copy pasted this file into “C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\bin” This worked for me!
Thank you for sharing this clear explanation
The only video that solved my issue!
Jeff, it's like you're one or two months ahead of my hardware purchases! I was looking for windows 11 support because I sold my deep learning rig (I overestimated utilization % outside of work, and downshifted to an RTX laptop on sale. For those reading, a dual 3090 setup works quite well if you can find AIO water-cooled cards and acquire them at a good price.) I ran the numbers and for $20-30/month, I can just push my workload to databricks on GCP when I need it.
Thank you so much! I really appreciate this!
You solved my problem.thank you!
Thanks a lot for this tutorial. I would be interested in having the same for Ubuntu . I am beginner and love the way you approach things. Thanks a lot again
Forget about my question. Just watched your video on WSL2. Looks exactly what I need. You made my day. Thanks again for the great content
thanks a ton, this was quite helpful
Great video, thank you so much!
Thank you so much! This worked like a charm! 👍👍👍 Takes a lot of space though 😅
Glad it helped!
Cuda 11.6 only supported with windows 11 now, which version u hv installed
Very helpful. Many thanks.
Thank you so much ! My GPU mx150 is still pretty bad xD cant see much difference. But it works!
I can definitely tell you absolutely love Microsoft buddy.
Perfect guide!!! Nice
you are the best teacher thank you
Thanks a lot. I can finally work.
Your content is amazing!!!
Thank you as always!
You are very welcome!
Thanks Jeff. A lot!
thank you, you literally saved me
Thank you SO much. I've been looking for a solution for days to force a ML algo to go through my GPU, and I couldn't get tensorflow to detect my GPU accurately. I can tell you the heaven songs played for me all right when I saw the "True" ^^ Also I precise that I had to stick to Cuda 11 (I chose 11.2 according to the compatibility tables of tensorflow/cuda/cudnn) and tensorflow 2.5, because as I understood, tensorflow now doesn't work anymore for windows.
Let's see now whether I can launch my script through the GPU in Jupyter...Fingers crossed!
Thank you again though :) 🤩
Thank you, sir!
beautiful, thanks.
thank you bro , love you
Thank you so much!
Thanks alot man.
Im getting that the len is 0 (so no GPU found), but with no error message. Would you have any ideas of why that could be the case?
Thank you so much
thank you for this tutorial
You're welcome 😊
thanks for your help.... :)
You're welcome! Glad it was helpful.
Hello, Sir. Thank you for posting the installation video. After installing Visual Studio 2022, I have a question. I installed Cuda 11.5 as you recommended, but it reports that no supported version of Visual Studio was found. Some CUDA toolkit components will not function properly. To get full functionality, you must first install Visual Studio. But I already installed Visual Studio. Could you please assist me with this problem? Reply me ASAP
So for anyone experiencing DLL problems the issue seems to be with the manual install of CUDA (as opposed to conda) which automatically adds some values to PATH. If you select the most recent version of CUDA to install (I chose 12.x) these values are not what TensorFlow 2.10 is expecting hence it can't find the DLLs. Tensorflow 2.10 is required since that's the last version which natively supported GPU. pip install tensorflow==2.10
So if you do want to proceed with the manual install then I'd imagine you need cudatoolkit=11.2 cudnn=8.1.0 in order for it to work. I didn't test this, I just installed them via conda "conda install -c conda-forge cudatoolkit=11.2 cudnn=8.1.0" and its working now.
Thanks to @Jeff for helping me see the wood for the trees!
Thank you!
One day I will convince professor Jeff to switch to Torch (and also JAX)!
I do Torch as well... this video happens to be on Keras. :-)
Thank you 😃
merci beaucoup tout est parfait
Thanks Jeff 🙏! Will Pytorch gpu work aa well or we still need to type " conda install Pytorch torchvision torchaudio cudatoolkit=11.3 cuDNN= 3.2 ?
Thanks sir...
Thank you!!!
For the Nvidia Driver Download, mine is GTX 1050 Ti and in options it says either I download Game Ready Drivers or Studio Drivers. My question is which one to install? also I am using Pycharm, so do I need to install jupyter?
Quick tip. If you have a laptop and your GPU is working fine, please skip step 1, as it can mess up your graphics. For desktops, I do not see a problem.
What do I need to install for tensor cores and what should I install if I want to use LSTM cells?
Thx bro... working on the RTX 3050TI Laptop with vs code
Hi! How did you make it work in vscode?
I've been trying here and not working. Can I get some help from you?
Tks :D
Hi Jeff, thank you so much for the video. GPU is been integrated with tensorflow successfully but when running a program kernel died notification is comming and show no module named matplotlib is found
and when installing matplotlib my tensorflow GPU is not working.
It will be helpful if you can help me on this
hey there! sorry for off the topic question, but which display monitor do you use?
THANK YOU SIIIIIIIIIIIIR
Thank you
Thank you for this wonderful explanation Professor . I have a question I don't know what made me think about this . but I have a laptop with a processor intel(R) Core(TM) i7-7500U CPU @ 2.70GHz 2.90 GHz. Can I Set Up CUDA, CUDNN, and TensorFlow GPU on Windows 10>>>>thanks very much
Thank you very much for the tutorial.
Does TensorFlow (2.7.0, the latest) really work well with CUDA 11.5?
I have CUDA 11.6 installed, but TensorFlow requirements say it needs to be 11.2. So I'm having doubts about whether I should install TensorFlow regardless of that, or find some way to downgrade CUDA.
Can you share how you resolved this issue?
So, what's your solution? Did you reinstall windows in the end?
The same issue
thanks a lot
Sorry, can I ask why it shows:
"C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Auxiliary\Build\vcvars64.bart
'C:\Program' is not recognized as an internal or external command,
operable program or batch file."
When I can not run vcvars64?
I don't advise you guys to follow this guide ...the CUdnn version he installed will not work with the CUDA 11.5 when u are doing an image processing model. you need CUDNN 8.2 with cuda 11.5
May I ask what are the full versions you used - for 11.5.x & 8.2.y, what are the x & y? Also what versions of tensorflow and keras did you use? Thanks!
@@no-sn3gt 8.2.0 and the same cuda version he installed in the video
@@no-sn3gt and regarding tensorflow it doesn’t matter which version you are using
the \include path at min 12:00 is not the one inside CUPTI or is it?
I've installed cuda toolkit 12.3 and am not able to run gpu using tensorflow on that
um doesnt tensorflow recommend running wsl 2? that's where I'm stuck on between wanting to use it as OS
It was false for me at first, problem was I had both cuda and cudnn with latest release so I had to downgrade them, then had to unistall tensorflow and reinstall it, and now gpu is true!
Hi what makes difference if I dont use anaconda here? I mean what anaconda ensures easily than other because many people in GPU acceleration considering and giving their examples with anaconda
Although it doesn't help much but torch handles all dependencies via the pip. Just hoping that TF gets to the same kind of support sometime down the line.
Yes, agree... installing PyTorch with GPU is a much shorter video.
THANK YOU!!! I was crying, why the fuck do they build a software like this? why there is not a button to do all these stuff and add these pathes
In TF Install Guide , it was mentioned to install MS Visual Studio 2019 , and you have installed 2022 version , won't it cause a problem??
I run into issues of Conda wasnt working with python=39 and not intsaling ipkernal,
resolved BY
conda config --remove channels conda-forge
conda config --add channels conda-forge
conda update conda
Can somebody Please tell is it needed for the VS code C++ Step? I will code using Python only. So what is the need?
Similar question as @David White, if you install CUDA, CuDNN on Windows 11 and you want to also use WSL2 do you need to do CUDA, CUDNN installs on WSL2/Ubuntu?
See my reply to him. Its on my list to revisit. If you use WSL, you only need the NVIDIA CUDA drive installed at the host level, CUDNN, C++, etc would all be inside of the images. The fact that they are claiming Win11 no longer requires insider edition of Windows means WSL might be an option. Windows random reboots would still be an issue for a serious ML workstation. Generally I unplug internet during a multi-day train in Windows, which is the only really foolproof way I've found to guarantee that the machine won't shut me down and install an update. I could probably refine that approach and just block the Windows update servers.
@@HeatonResearch DAMN YOU'RE QUICK! And oh, HAPPY NEW YEAR. Best wishes in 2022.
Can I just install Visual Studio C++ redistributable only ,, or is the whole MS Visual Studio needs to be installed??