Jazakum Allahu khairan. I was totally new to all these kind of things and so followed all your shown guidelines. Now, everything is set Alhumdulillah. May Allah ease all your difficulties.
Couldn't get cuda to work before this video, got it to work after this video. Wow, thank you so much, this video is great. Liked the video and starred the github!
tensorflow is not compatible with newer verions of python and cuda, can u please upload a tutorial for running tensorflow on gpu with this version of cuda?
true....the TensorFlow 2.10 was the last TensorFlow release that supported GPU on native-Windows. Starting with TensorFlow 2.11, we need to install TensorFlow in WSL2. And newer GPUs(rtx 40 series(Ada Lovelace) doesn't support the older tensorflow version.
it didn't work on my windows 10. i installed the NVIDIA video driver (MX450, version 565), VS C++ and anaconda were already installed on my pc, i installed the 12.4 toolkit and cudnn for windows 10, and installed pytorch 12.4. yet the script is not running edit: it works only when i use .ipynb files in VS code, not in jupyter notebook
sir i have downloaded cuda 11.8 and did all the steps as you have mentioned, and it is showing to me that gpu is there and gpu is detected but the problem arises when i try to change the kernel as it is not showing to me cuda11.8 as kernel(in VScode). why is that? can you guide me through .
THanks a lot for this helpful video. After following your instructions CUDA is working pretty well on my Windows 11 PC. Anaconda is also working but also in my normal python environment I can use CUDA now. SO Ananconda is nice but it was not necessary.
Hi, Can you please make a video to install TF (the latest version) in Windows with GPU support? I am also using RTX 3060. Thanks again for the great tutorial.
I did all the steps line by line. But still my code is running in CPU only. What’s the problem. Mine is NVidia GeForce RTX 4050 series laptop. Windows 11. I installed Cuda 12.1 version and cdnn 8.9.7 as you told
@@dswithbappy oh mb The Visual Studio installation after checking everything with c++ Also I did end up downloading it and but for some reason got "Warning ran out of memory, use stream=True" error. It was fine before but got it after installing cuda, uninstalled everything and it's back to normal. Lags tho but idk what was the problem
how do i run import torch print("Number of GPU: ", torch.cuda.device_count()) print("GPU Name: ", torch.cuda.get_device_name()) device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') print('Using device:', device)
Thank you bro... 3-4 din se try kar raha tha , apke process se hogaya ye .. Thanks a lot....
Jazakum Allahu khairan. I was totally new to all these kind of things and so followed all your shown guidelines. Now, everything is set Alhumdulillah. May Allah ease all your difficulties.
Glad to hear that
Thanks a lot! I struggled for two days and failed, but after watching your video, I succeeded in just 20 minutes.
great
I was luckier than you brother, I found the channel quicker, thank God.
Thanks a lot ! Detailed video for every steps.....🙂
Glad it was helpful!
Couldn't get cuda to work before this video, got it to work after this video. Wow, thank you so much, this video is great. Liked the video and starred the github!
Glad it helped
Same here. I spent whole night and luckily found this channel. Subscribed and started
100% Working! Great video and has clear explanation. Please post a video for tensorflow also then it would be more valuable for us.
Hi Mr. Particular 😂. I like this particular video about downloading a particular driver for a particular Nvidia gpu...
Thanks a lot, its really helpful
Thank you for sharing such tasks.
It's my pleasure
thanks alot brother for such a clear and simple explanation
tensorflow is not compatible with newer verions of python and cuda, can u please upload a tutorial for running tensorflow on gpu with this version of cuda?
true....the TensorFlow 2.10 was the last TensorFlow release that supported GPU on native-Windows. Starting with TensorFlow 2.11, we need to install TensorFlow in WSL2. And newer GPUs(rtx 40 series(Ada Lovelace) doesn't support the older tensorflow version.
@@soumyadiptikader891 Can you pls suggest the complete order of downloading compatible nvidia GPU, cuda and pyTorch version to setup from scratch?
THANKS A LOT! IT IS REAL.!!!!! 100% working!!
You're welcome!
worked wel!! thx bruh
Thank you for such detailed tutorial, It is very helpful!
it didn't work on my windows 10. i installed the NVIDIA video driver (MX450, version 565), VS C++ and anaconda were already installed on my pc, i installed the 12.4 toolkit and cudnn for windows 10, and installed pytorch 12.4. yet the script is not running
edit: it works only when i use .ipynb files in VS code, not in jupyter notebook
brother you save my day, thanks
Happy to help
very helpful , highly recommended !!!
sir i have downloaded cuda 11.8 and did all the steps as you have mentioned, and it is showing to me that gpu is there and gpu is detected but the problem arises when i try to change the kernel as it is not showing to me cuda11.8 as kernel(in VScode). why is that? can you guide me through .
if my laptap does not have nvidia getforce (instead have itel iris ) i cannot able to download ?
is this the same steps for tensorflow gpu also
6:39 what package I have to select??
Can you please make e tutorial about hardware dedicated gpu setup for deep learning. It will be very helpful. There is no video in youtube about this.
@dswithbappy did you read this commend brother?
@@ahmeterdonmez9195 Tem vídeo sobre isso?
@@marcoaureliooliveira5650 I learned it by myself. Don't worry it is so easy. Just 2-3 lines of code :)))
thanku sir " u r Genius "
why we create environment to install pytorch
Hlo sir could you share the text summarisation with N-grams using deep learning back end code 😢
THanks a lot for this helpful video. After following your instructions CUDA is working pretty well on my Windows 11 PC. Anaconda is also working but also in my normal python environment I can use CUDA now. SO Ananconda is nice but it was not necessary.
You're welcome!
Hi, Can you please make a video to install TF (the latest version) in Windows with GPU support? I am also using RTX 3060. Thanks again for the great tutorial.
Thank alot.but i stuch here
$ conda activate test
bash: conda: command not found
Thank you really helpful
when will be mlops project next session ?
does installing this with pytorch mean there will be changes in the code that we wrote while building a DL model using tensorflow?
Hi, can i use nvidia cuda in my laptop vga card (rtx 4060)?
How can I enable gpu support for tensorflow
i had desktop development with c++ installed on visual studio are all of these individual components required? its going beyond 15GB
Thank you.
What model gpu is good for running a dl model
Thank you. Could you also create a video for TF with WSL?
I did all the steps line by line. But still my code is running in CPU only. What’s the problem. Mine is NVidia GeForce RTX 4050 series laptop. Windows 11. I installed Cuda 12.1 version and cdnn 8.9.7 as you told
Thank you for your reply. Iam using pytorch and have problem in that.
Hello mate. can u make a video on RAG with Websites please with OpenAI / any LLM
It's helps a lot, thanks
😀
Please make a video on installing tensorflow from scratch
thanks my Bro , keep going. Could you also create a video for TF with WSL2?
Thank you
Very helpfull
The size is showing as 30 gb can I delete it after installing cuda or is it permanent?
which one?
@@dswithbappy oh mb The Visual Studio installation after checking everything with c++
Also I did end up downloading it and but for some reason got "Warning ran out of memory, use stream=True" error. It was fine before but got it after installing cuda, uninstalled everything and it's back to normal. Lags tho but idk what was the problem
Thank u sir
Please also include ubuntu in your next video list.
what python version?
Thanks
is conda necessary ??
|
Not really if u have pip
godsend!
permission to learn sir
You have used the "*PARTICULAR*" word almost, 108 times
how do i run
import torch
print("Number of GPU: ", torch.cuda.device_count())
print("GPU Name: ", torch.cuda.get_device_name())
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
print('Using device:', device)
Run from notebook