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@JOGUANDREWS 4 күн бұрын
Thanks im gay (happy)
@fatimabasheer-r1o 9 күн бұрын
when i write conda config - add channels i have warning :conda config already exit and when i write conda config -set i(conda key error ‘channels priority unknown parameter
@TechyMansSolutions 9 күн бұрын
@@fatimabasheer-r1o so while installing any thing from conda. Use: -c conda-forge After typing that command
@linkduda 27 күн бұрын
Hello tahnks for the video, but I got the same error of other versions: A module that was compiled using NumPy 1.x cannot be run in NumPy 2.0.2 as it may crash. To support both 1.x and 2.x versions of NumPy, modules must be compiled with NumPy 2.0. Some module may need to rebuild instead e.g. with 'pybind11>=2.12'. 😅
@TechyMansSolutions 26 күн бұрын
@@linkduda you should then try to use WSL or create a different conda environment for it
@aabibodd Ай бұрын
PackagesNotFoundError: The following packages are not available from current channels: - tensorflow-gpu=2.10
@TechyMansSolutions Ай бұрын
@@aabibodd use pip, pip install tensorflow-gpu==2.10
@kaiohenrique3122 Ай бұрын
Just want to say thank you. I'm on the final steps of my reserach for my final work of University. Your video is the only one that worked for me, so thanks a lot!
@TechyMansSolutions 26 күн бұрын
@@kaiohenrique3122 thanks for watching 😊
@midhunbose8228 2 ай бұрын
Do we have to install cudatoolkit in the system?
@TechyMansSolutions 2 ай бұрын
@@midhunbose8228 no need. It is getting installed in conda
@gerardoasaellopezalfaro8639 2 ай бұрын
I man, do you have some solution using google colab or workstation with ubuntu?
@TechyMansSolutions 2 ай бұрын
@@gerardoasaellopezalfaro8639 in Google Colab GPU support is already configured. For Ubuntu, Open build from source guide where in the end there will be compatible version mentioned for linux. Right now the latest version is 2.17 which requires cudnn 8.9 and cuda 12.3 . Install these in a conda environment (it's better) by using: conda install nvidia/label/cuda-12.3.2::cuda-toolkit conda install -c conda-forge cudnn=8.9 Then you can go ahead and install version 2.17 by: pip install tensorflow[and-cuda]==2.17 This will install TensorFlow with GPU. TensorRT is usually installed but if you are new, don't mess with it as it takes a lot of trial and error to install the right whl for it.
@_ProdiptoChakraborty_IT_A 3 ай бұрын
it worked brother thanks
@_ProdiptoChakraborty_IT_A 3 ай бұрын
Hey man do you have a discord link where i can show my problem it will be really helpful i got a rtx 2050 gpu and tensorflow is not able to recognise it am stuck in it for like 2 days now
@TechyMansSolutions 3 ай бұрын
@@_ProdiptoChakraborty_IT_A discord.com/invite/JTDst4aJ
@sarthakjain1021 3 ай бұрын
Will it work for window 11 ?
@TechyMansSolutions 3 ай бұрын
@@sarthakjain1021 yes, I also did on windows 11
@sarthakjain1021 3 ай бұрын
i got the solution thanks dude i can now finally run tensorflow on gpu its the only video that worked for me
@TechyMansSolutions 3 ай бұрын
@@sarthakjain1021 I am glad I could help you 😊
@Кирилл-р1б8с 4 ай бұрын
After instalition dont working GPU support
@TechyMansSolutions 4 ай бұрын
@@Кирилл-р1б8с activate the conda environment for TensorFlow/PyTorch
@pasha1120 4 ай бұрын
I did all these and when I print devices it prints GPU, but when I run my model and check GPU usage from Task Manager it shows zero consumption what is wrong? I use tensorflow
@TechyMansSolutions 4 ай бұрын
import tensorflow as tf import time physical_devices = tf.config.experimental.list_physical_devices('GPU') if physical_devices: tf.config.experimental.set_memory_growth(physical_devices[0], True) with tf.device('/GPU:0'): a = tf.random.normal([10000, 10000]) b = tf.random.normal([10000, 10000]) start = time.time() c = tf.matmul(a, b) print("Time taken: ", time.time() - start) Check output of this code Make sure you use the tensorflow_env
@farazfitness 5 ай бұрын
so i have driver version 555.99 and i downloaded cuda 11.2 and cnn 9.2 and python 3.10 tensor flow 2.10 and nvidia smi shows cuda 12.5 too confused and straight up in a mess
@TechyMansSolutions 5 ай бұрын
That nvidia-smi version doesn't matter, we need to have 11.2 CUDA toolkit and we have it. If you have errors then write here
@farazfitness 5 ай бұрын
@@TechyMansSolutions just want to ask the tensor rt shows winows 10 but i guess you are using windows 11 right?? hopefully that doesnt make a difference
@TechyMansSolutions 4 ай бұрын
@@farazfitness yes, cause the cuda 11.2 only supports till windows 10 so it shows windows 10 Windows 11 will cause no problem You can ignore that
@farazfitness 4 ай бұрын
@@TechyMansSolutions thanks for the help Will keep you posted
@TechyMansSolutions 4 ай бұрын
@@farazfitness welcome
@TechyMansSolutions 5 ай бұрын
Like and Subscribe If you encounter any error, do let me know
@Zico-y9e 5 ай бұрын
I have Nvidia T1200 it is work for me??
@TechyMansSolutions 5 ай бұрын
yes ofcourse
@TechyMansSolutions 5 ай бұрын
Use the readme file to understand everything, also I have changed a lot of things in the model. You don't need to make your own venv, it is already there you just need to activate it. I also included the TensorRT whl files for GPU users. Thanks for watching guys.
@Latsyuha 5 ай бұрын
I can't get TensorRT to work with FaceFusion. This is their instruction for installing the accelerator: conda install cudatoolkit=11.8 cudnn=8.9.2.26 conda-forge::gputil=1.4.0 python=3.10 If I understand you correctly, this combination cannot work on Windows?
@TechyMansSolutions 5 ай бұрын
Did you install the whl file in tensorrt zip?
@Latsyuha 5 ай бұрын
@@TechyMansSolutions I followed these instructions kzbin.info/www/bejne/gaCmnqZsq7J7bKM Maybe I did something wrong.
@TechyMansSolutions 5 ай бұрын
@@Latsyuha You can message me on reddit - Certain-Phrase-4721 we will clear it all there
@TechyMansSolutions 5 ай бұрын
If you have any problem do comment it and I will solve it. Also links may not be clickable so you can google search these with version numbers and you will find the page. Thank You