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.
@raisa3456 i found this video cause my knoledge on machine learning was aladeen. This video was aladeen to me cause it showed me how to setup my machine to run machine learnings aladeens. I hope DSwithBappy have an aladeen day.
Thanks bhai...I was really searching everywhere for the correct procedure but ho hi nahi rha tha....aapke guide se it was done in one go! thank you very much!!
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!
Thank you for the detailed video, you really explain everything clearly, however, I need to know something, if I need to use old Cudnn which does not have any Windows installer, do I only need to copy pest the three folders into CUDA ??
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.
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.
Sir I have done every step till 18:15 , but i am not able to activate the environment though I have created one, its showing an unexpected error. Please help me to overcome this issue.
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 .
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
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 am a newbie to this. I can follow the instructions, but i lost it when installing the visual studio, cause my windows in not in english and so the installer come in different language from that shown on tutorial. In the end something went wrong. Now i am retrying from the start.
I completed and successfully done these process but when I train my deep learning model it's not train fast or epoch is not started. But I got GpU count: 1 and name: NVIDIA GeForce. What is the problem?
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
I did all the process perfectly and i was able to use GPU, but i am not able to import torchtext library. OSError: [WinError 127] The specified procedure could not be found
@ the issue was the compatibility and also there were many corrupted packages in the site-packages like ~orch, ~orchtext. You can delete all these files
@@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)
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
@raisa3456 i found this video cause my knoledge on machine learning was aladeen. This video was aladeen to me cause it showed me how to setup my machine to run machine learnings aladeens. I hope DSwithBappy have an aladeen day.
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.
Hi Mr. Particular 😂. I like this particular video about downloading a particular driver for a particular Nvidia gpu...
Thanks bhai...I was really searching everywhere for the correct procedure but ho hi nahi rha tha....aapke guide se it was done in one go! thank you very much!!
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
Thank you bro... 3-4 din se try kar raha tha , apke process se hogaya ye .. Thanks a lot....
100% Working! Great video and has clear explanation. Please post a video for tensorflow also then it would be more valuable for us.
Thanks a lot bro you fixed my trouble, i struggled for more than 2 hrs ,Thanks a lot
It worked! Thank you very much for providing this tutorial.
Thanks a lot ! Detailed video for every steps.....🙂
Glad it was helpful!
6:39 what package I have to select??
THANKS A LOT! IT IS REAL.!!!!! 100% working!!
You're welcome!
Does the Problem of gpu acceleration greyed out fixed???
Thank you for sharing such tasks.
It's my pleasure
thanks alot brother for such a clear and simple explanation
Thank you for the detailed video, you really explain everything clearly, however, I need to know something, if I need to use old Cudnn which does not have any Windows installer, do I only need to copy pest the three folders into CUDA ??
Many thanks for such a great tutorial
Great video. But does this work for the lightning.gpu module ???
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?
Yeah had the same problem too. @@VaidhegiDinesh
Were you able to resolve it?
@@OrderEmperor yes, i've just did
works perfectly. Thank you
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!
Thank you for such detailed tutorial, It is very helpful!
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 :)))
@@ahmeterdonmez9195 help me bro
@@ahmeterdonmez9195 pls give us the code
great tutorial, very clear. Thank you
very helpful , highly recommended !!!
Sir I have done every step till 18:15 , but i am not able to activate the environment though I have created one, its showing an unexpected error. Please help me to overcome this issue.
Thanks for this. It helps a lot😊
Please share some project which utilise pytorch for training models on local gpu
so what about tensorflow? should i use conda for installation of cuda and cudnn or local installation?
brother you save my day, thanks
Happy to help
thanks my Bro , keep going. Could you also create a video for TF with WSL2?
Thank you. Could you also create a video for TF with WSL?
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 .
Hlo sir could you share the text summarisation with N-grams using deep learning back end code 😢
thanku sir " u r Genius "
Please make a video on installing tensorflow from scratch
Please also include ubuntu in your next video list.
does installing this with pytorch mean there will be changes in the code that we wrote while building a DL model using tensorflow?
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
i had desktop development with c++ installed on visual studio are all of these individual components required? its going beyond 15GB
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.
Hey ,what changes to do if i want to run it on PYCHARM instead of VS CODE
is this the same steps for tensorflow gpu also
i am a newbie to this. I can follow the instructions, but i lost it when installing the visual studio, cause my windows in not in english and so the installer come in different language from that shown on tutorial. In the end something went wrong. Now i am retrying from the start.
Hi, can i use nvidia cuda in my laptop vga card (rtx 4060)?
Thanks a lot, its really helpful
What model gpu is good for running a dl model
I completed and successfully done these process but when I train my deep learning model it's not train fast or epoch is not started. But I got GpU count: 1 and name: NVIDIA GeForce. What is the problem?
Hello mate. can u make a video on RAG with Websites please with OpenAI / any LLM
when will be mlops project next session ?
why we create environment to install pytorch
Thank you really helpful
I can see the path variable, also I set up everything ,except visual studio, correctly. But it still does not work "CUDA Availability: False"
if my laptap does not have nvidia getforce (instead have itel iris ) i cannot able to download ?
It's helps a lot, thanks
😀
worked wel!! thx bruh
How can I enable gpu support for tensorflow
Thank alot.but i stuch here
$ conda activate test
bash: conda: command not found
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.
Thank you.
I did all the process perfectly and i was able to use GPU, but i am not able to import torchtext library.
OSError: [WinError 127] The specified procedure could not be found
Same issue....if you find the solution... Please share in the reply..
@ the issue was the compatibility and also there were many corrupted packages in the site-packages like ~orch, ~orchtext. You can delete all these files
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
godsend!
permission to learn sir
can we use pip instead of anaconda ?
Thank you
Thank u sir
which python version?
what python version?
Thanks
is conda necessary ??
|
Not really if u have pip
Didnt worked for me. Can u fix my system config in a call? I can pay you
You have used the "*PARTICULAR*" word almost, 108 times
$ cource activate test
bash: cource: command not found
Lion@DESKTOP-F3G8PFI MINGW64 ~
$ conda activate test
CondaError: Run 'conda init' before 'conda activate'
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
Thanks