Questions tagged [gpu]
Graphics Processing Units (GPUs) within the context of Machine Learning often refer to the hardware requirements, design considerations, or level of parallelization for implementing and running various machine learning algorithms.
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Using gpu accelerated libSVM in python
I have been using libSVM in python notebook to classify my dataset and it takes approximately 5 hours for one run and for 5 fold cross validation, it will take almost a day+ time.
I am planning to ...
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LLM GPU Scalability for multiple inferences
New to LLMs and have a question on scalability. Supposing I take a pre-trained open-source LLM and only wish to perform inference (eg. a simple chatbot on a local machine).
If it takes me 2 GPUs to ...
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Seeking guidance on understanding graphics card parameters for deep learning training
I am currently in the process of purchasing a new Nvidia graphics card for training deep learning models, and I have a few questions regarding the parameters involved and their relationship to the ...
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Load an LLM in multiple GPUs
I am doing a POC on LLM text generation. I have one AWS p3.8x instance which has 4 GPUs each of 16 GB size. I am pretty new to use LLM and GPU. When I am trying load one LLM pertained model (WizardLM) ...
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Pytorch fails to detect workstation installed nvidia GPUs
We are trying to execute a deep learning model on a Linux workstation that from all counts has 2 NVIDIA GPUs installed. The model runs fine on our HPC cluster, but when we try to run it locally on the ...
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Dataloader is slow with mps - PyTorch
For some reason, when using mps the dataloader is much slower (to a point in which its better to use cpu).
Any idea why?
Code for reproduction:
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How to do batch inference in pytorch on a local GPU?
I'm working on a version of SAM model which predicts the segmentation map using text prompts provided by the user. As of now, running a single image takes about 5 seconds.
I want to run about 100 ...
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optimization of multi-regression CNN architecture
I use T4 GPU on Google Colab to train a model for multi regression. I use to training 30k RGB images 256x256, 5k to validate, 7k to evaluate. The model has 11 outputs [0-1] range (the sum of outputs <...
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Which desktop hardware is best for DL?
I will be building my home Deep Learning workstation. Right now, I'm digging for some time about the best HW to use for home conditions.
The workstation will be used for my work as a developer, but I ...
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Why are all PyTorch dataloader proccesses in S state (interruptible sleep) except one?
Short version: I'm using PyTorch dataloading library to load data in parallel for training a deep learning model. When I look at the CPU usage with htop, I see a ...
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Memory usage of a DNN model during inferencing
I am running a DNN model (YOLOv7) on GPU to detect objects in a video stream. The memory usage on my task manager shows that I am using up to 2GB of my RAM! The GPU Ram usage is almost 1 GB.
I am ...
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Reproducibility issue between GPU graphic cards for DNN Tensorflow models
I am facing reproducibility issues on my DNN (Tensorflow, Keras) models when using different GPU cards. For example, when I use two a100 cards, I would be able to reproduce my results. If I use one ...
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Can the Apple M1's iGPU access the entire RAM as "video memory" when training with typical deep learning frameworks?
Can the Apple M1's iGPU access the entire RAM as "video memory" when training with typical deep learning frameworks (e.g., tensorflow_macos)? If not, what memory do they use as video memory?
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How can I make my neural network learn faster?
I would like to train an LSTM-based variational autoencoder on a large dataset (37 million sentences). However, I have calculated that my training speed as of now is too slow (on Google Colab). I am ...
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How "exactly" are AI-accelerator chip ASICs built differently than GPUs as GPU seem to lead for many AI workloads on performance
There is a lot of discussion on google search about AI-custom-accelerators (like Intel's Gaudi) and GPUs.
Almost all of them say generic things like, a) AI Accelerator chip is for specialized AI ...
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What size language model can you train on a GPU with x GB of memory?
I'm trying to figure out what size language model I will be able to train on a GPU with a certain amount of memory. Let's for simplicity say that 1 GB = 109 bytes; that means that, for example, on a ...
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Rasa train never uses my Tesla T4 GPU
rasa train never prints any warning that it is not using GPU... But also does not use GPU.. the training takes 6 hours.. Any suggestions?
nvidia-smi output while rasa training is running :
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Lasso regression / SVM convergence CPU -> GPU
I have coded a simple supervised ML classification using 10-20K data points for 25 samples. Linear ML models run quickly for example naive Bayes, linear regression and SVM linear on a small multi-core ...
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Is RTX 2060 (12 GB) or RTX 3060 (12 GB) suitable for complex deep learning tasks? [closed]
After many months of saving, I can now afford to buy RTX 3060 (12GB). However, I am afraid to waste my money after saving them for months. I am preparing myself for starting my Ph.D. degree. It will ...
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Running Model on both GPUs and CPUs
I have access to a hpc node, of 3 GPU and maximum of 38 CPU. I have a transformer model which I run of a single GPU at the moment, I want to utilize all the GPUs and CPUs.
I have seen couple of ...
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How does compute required scale with number of model parameters?
GPT-3 has 175 billion parameters, required ~$3.114 * 10^{23}$ FLOPS, and took approximately one month to train on ~10k Tesla V100 GPUs. It seems commonly stated that the brain has the equivalent of ~...
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Tensorflow gpu not available for jupyter notebook
I am trying to make tensorflow work with gpu support.
First I have tensorflow-gpu installed:
However, there is no gpu available....
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ValueError: Mixed precision training with AMP or APEX (`--fp16` or `--bf16`) and half precision evaluation (`--fp16) can only be used on CUDA devices
i’m fine tuning the wav2vec-xlsr model. i’ve created a virtual env for that and i’ve installed cuda 11.0 and tensorflow-gpu==2.5.0 but it gives the following error : ValueError: Mixed precision ...
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BERT base uncased required gpu ram
I'm working on an NLP task, using BERT, and I have a little doubt about GPU memory.
I already made a model (using DistilBERT) since I had out-of-memory problems with tensorflow on a RTX3090 (24gb gpu'...
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How do NVIDIA GPU restrictions affect AI computational frameworks?
I know this question is very vendor specific and as time passes it might change but I am wondering how NVIDIA available GPU cards nowadays (2022) are restricted in any way license wise or hardware ...
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How to build a neural network without using keras compile method
I have the following neural network:
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cuDNN isn't found FWD algo for convolution. How to TRAIN DARKNET ON GE FORCE GTX 1650
ISSUE: while training Darknet with GE FORCE GTX 1650 using following:
CUDA 11.0
cuDNN 8.0.5
OPENCV 4.5
Model starts training with config file details as below for [net] section:
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Cost Efficient Machine Learning Development Using Cloud GPUs
Let's say I have a Juypter Notebook I am working on where I am analyzing, visualizing, testing, etc. various Machine Learning Models with different hyperparameters on some arbitrary data set or I am ...
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Is there a reason not to wirk with AMP (automatic mixed precision)?
According to: Introducing native PyTorch automatic mixed precision for faster training on NVIDIA GPUs
It's better to use AMP (with 16 Floating Point) due to:
Shorter training time.
Lower memory ...
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mBART training "CUDA out of memory"
I want to train a network with mBART model in google colab , but I got the message of
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Intel Core i7 CPU (10th gen) trains Tensorflow models faster than Intel Iris Plus Graphics GPU
Intro
Recently I was able to get my GPU (Intel Iris Plus Graphics) to work with "accelerating" Tensorflow. It took many hours of research and following tutorials (most of which didn't help). ...
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How do I install CUDA GPU for Visual Studio 2022 for windows 10?
I cannot find the visual studio 2019 version and every time I try to install CUDA 11.2.2 on my laptop, It warns me about not that I haven't installed Visual Studio. I've tried installing the C++ add-...
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Does GPU decreases training time for on-policy RL?
I was wondering whether using a GPU will be effective if I am using an on-policy (eg PPO) RL as the model?
I.e, how can we use a GPU to decrease training time for an on-policy RL model?
I recently ...
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OOM memory after kernel restart, was working before
Ran my CNN on a SageMaker notebook and it started training, but I had to restart the kernel due to AWS disconnecting. However when I tried to rerun my code, I received an OOM error, and it never ...
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ValueError: GPU is not accessible. Was the library installed correctly?
I installed spacy 3 in a venv and tried to execute:
spacy.require_gpu()
Then I got this as output:
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Model accuracy when training on GPU and then inferencing on CPU
When we are concerned about speed, GPU is way better than CPU.
But if I train a model on a GPU and then deploy the same trained model (no quantization techniques used) on a CPU, will this affect the ...
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Alternatives with better GPU than Google Colab Pro
I am currently running/training MAchine learning models that are very GPU expensive, Google Colab Pro is not giving me enough GPU/RAM
Is there any alternatives with better GPU and more RAM than ...
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Suitable CPU with RTX3070 GPU for deep learning [closed]
I am trying to get a GPU for my deep learning research. Due to stock limitation, I can only get a RTX3070. In my lab, there's some PC/workstation whereby I can install the RTX3070. However, I wonder ...
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GPU shows 0 utilization even when tensors and model are mounted on the gpu?
I am trying to run some PyTorch scripts on a remote GPU server. While calling the script in the ubuntu terminal i start as:...
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Why the my Tensorflow code just use one GPU when I assign more than one
I am trying to run my code on a supercomputer with 8 gpus. Though, I assign 8 gpus but one of them is just occupied. I read some notes in websites and it seems that Tensorflow automatically use gpu if ...
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ImportError: DLL load failed while importing _pywrap_tfe when running exe file created by Pyinstaller
I have created the exe file of my code which uses tensorflow on gpu. It seems that building process using Pyinstaller goes fine. However, when I run the exe file in a system without GPU, I get the ...
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DIGITS Docker container not picking up GPU
I am running DIGITS Docker container but for some reason it fails to recognize host's GPU: it does not report any GPUs (where I expect 1 to be reported) so in the upper right corner of the DIGITS home ...
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How many video streams can single GPU handle for object detection
I need to detect objects from multiple video streams at realtime (or close to it, like 10 FPS).
How many GPUs do I need to detect objects using YOLOv3 or MobileNet for, say, 10 video streams?
Is it ...
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How to run unmodified Python program on GPU servers with scheduled GPUs?
Say I have one server with 10 GPUs. I have a python program which detects available GPU and use all of them.
I have a couple of users who will run python (Machine learning or data mining) programs and ...
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Alternatives to GCP / AWS / Azure
Can anyone recommend an alternative to the big 3 cloud computing alternatives? I know they're the best but I found them overly complicated because they cater to massive enterprises. The amount of set ...
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Why does my GPU immediately run out of memory when I try to run this code?
I am trying to write a neural network that will train on plays by Shakespeare and then write its own passages. I am using pytorch. For some reason, my GPU ...
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Why does GPU speed up inference?
I understand that GPU can speed up training for each batch multiple data records can be fed to the network which can be parallelized for computation. However, for inference, typically, each time the ...
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Use a GPU to speed up neural net training in R
I'm currently training a neural net model in R and am wanting to use a GPU to speed up this process. I've looked into this but it appears that this is unavailable to Mac users as Apple no longer uses ...
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How much GPUs are needed for Image ehancement? [closed]
I'm looking for a GPU to train my model. Most of the papers that I have followed used 2 or more gtx 1050ti card or higher. (MIRNet, EnlightenGAN) I need to that how much GPU power will it take to ...
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CUDA compatibility of GTX 1650ti versus 1650
I am confused about CUDA compatibility. I am studying deep learning and looking for a laptop to buy. One laptop has GTX 1650ti and another has GTX 1650. Will both be able to use GPU for model training,...
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