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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Tensorflow Training Crashing

I have created a GCP VM with Tesla K80 GPU attached to it. I have installed Nvidia 465 drivers for Ubuntu 20.04 along with Cuda 11. I am trying to use tensorflow on the GCP machine and each time when ...
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GPU acceleration with Flask API (BERT Transformer)

I have learned two BERT Transformer models, which both solve the text classification problem. Both artificial networks work well and I don’t see any problem while using them on my GPU and CPU as well ...
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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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PyMC3 - GPU integration [closed]

Can someone tell me how to integrate PyMC3 with GPU? I’m running a Bayesian regression model and using ADVI method. Your help is appreciated.
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Which memory usage is more accurate in nvidia-smi?

My nvidia-smi shows the following: ...
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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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Tensorflow not detecting GTX 1650TI GPU

I have got a GTX 1650TI GPU and am trying to run Tensorflow using the GPU, however Tensorflow does not detect the GPU. I am using Tensorflow version 2.3.0 with cuda 10.1 and cudnn 7.6. Trying to ...
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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 to train my CNN using AMD GPU on Windows?

I only have a laptop running Windows 10 with AMD Radeon Graphics Card at my disposal right now. I am aware that this is likely to make things tougher but I need to stick with this as long as I can't ...
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What is done in practice to speed up batch computation for deep learning by standard software packages?

Something that confuses me with machine learning in practice is that when you send in a batch of examples, you are computing the value of each example independently. And then when you backprop, you ...
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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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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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Parallel inference for 1000 different Tensorflow models using the GPU?

I have a 1000 Tensorflow models with the same architecture but having different weights each. For each of these models I would like to do inference, whereas each of the models also receives different ...
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I installed and configured CUDA and cuDNN, but still can't run my program with my GPU

The reason I ask this question in the Data Science part is mostly Data Scientists are facing with Hardware Acceleration problems. I installed CUDA and cuDNN, also made a lot of configuration to ...
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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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84 views

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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1answer
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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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Simultaneous inference on many gpu, question

I want to do boosting for instance segmentation. Lets say I have 5 different models for this and I have 5 GPUs. WHat I want to do is to do the inference on each model on each GPU, and combine the ...
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How can I create a VM instance with GPUs on Google Cloud Platform?

How can I create a VM instance with GPUs on Google Cloud Platform? When I go to https://console.cloud.google.com/compute -> CREATE INSTANCE, I only see CPUs and no GPUs, as shown in the video below....
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How to evenly distribute data to multiple GPUs using Keras

I am using Keras=2.3.1 with Tensorflow-gpu=2.0.0 backend. While I trained model on two RTX 2080 ti 11G GPUs, it allocates all data to '/gpu:0',and nothing changed with '/gpu:1'. Surely, the second GPU ...
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What GPU size do I need to fine tune BERT base cased?

I want to fine tune BERT Multilingual but I'm not aware about the GPU requirements to train BERT Multilingual. I have GTX 1050ti 4GB on my local machine. I want to know what size of GPU is needed and ...
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How to install tensorflow-gpu?

I installed cuda-11.0 and cuDNN-8.2 and Tensor-RT 7.1. And then installed tensorflow-gpu. But tf.is_gpu_available() is showing False. Actually, I installed ...
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How to run neural network in gpu instead of cpu?

I installed cuDNN and cuda toolkit 11 in my machine. Now I installed tensorflow-gpu in pip3 of version 2.2.0. But while running neural network, cpu is being used 90% with four cores and gpu is being ...
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GPU vs TPU for convolutional neural networks (NLP)

I am testing ideas on IMDB sentiment analysis task by using word embeddings + CNN approach. What could explain a significant difference in computation time in favor of GPU (~9 seconds per epoch) ...
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Keras OOM for data validation using GPU

I'm trying to run a deep model using GPU and seems Keras running the validation against the whole validation data set in one batch instead of validating in many batches and that's causing out of ...
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Is it true more CPU core is better for deep learning?

I just started to learn the deep learning in my free time. I was hoping to buy a laptop where I want to implement some small(alexnet) to medium(GoogleNet) networks maybe something bigger. I searched ...
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1answer
184 views

Is it true more CPU core is better for deep learning?

I just started to learn the deep learning in my free time. I was hoping to buy a laptop where I want to implement some small(alexnet) to medium(GoogleNet) networks maybe something bigger. I searched ...
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1answer
214 views

How to enable GPU on GradientBoostingClassifier?

Is there a way to enable GPU on GradientBoostingClassifier?
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169 views

Custom Object Detection on Azure Machine Learning or Databricks

I'm looking to train a custom object detection model using Tensorflow's API. Is it possible to do it in Azure ML Studio or in Databricks? Object Detection link - https://tensorflow-object-detection-...
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74 views

Deep learning : CPU vs. GPU quality

I searched for other similar questions on Google and here, but couldn't find any. I'm consistently getting results of less quality when making deep learning with GPU, compared to CPU. Of course, it is ...
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1k views

Is it possible to train stylegan2 with a custom dataset using a graphics card that only has 6GB of VRAM (GeForce GTX 1660)?

I'm attempting to train stylegan2 using a custom dataset, but no matter what settings I use I see the same error: ...
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Any free or affordable resources for network training?

I have a really large network that I need to train but I don't have enough computational power. I tried using Colab but colab doesn't allow multiple parallel runtimes. I'd like to use the caiver ...
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1answer
139 views

How to run list comprehensions on GPU?

Is there a way to run complex list comprehensions like the following on GPU? ...
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1answer
4k views

FP16, FP32 - what is it all about? or is it just Bitsize for Float-Values (Python)

What is it all about FP16, FP32 in Python? My potential Business Partner and I are building a Deep Learning Setup for working with time series. He came up with "FP16 and FP32" while finding a GPU. It ...
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47 views

How many neural networks can a GPU run simultaneously?

I am developing an application that would take feed from multiple IP cameras and run 3 different neural networks on it. I want to determine the number of such IP cameras that can I process parallelly ...
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197 views

Slow GPU While Training CNN

TL:DR: While training a small CNN on a Tesla T4, the GPU does not run any faster than about 1/3 - 2/3 of its base clock speed. The training time takes forever, and there is lots of weirdness with ...
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How to use a single GPU (vs. CPUs) in Tensorflow for forward inferencing (validation) vs. only for training

As mentioned in this question, it could be useful to harness a GPU vs. CPU(s) for validation. For example, in cross-validation, where the number of validation examples can exceed the number of ...
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Why GPU doesn't utilise System memory?

I have noticed that more often when training huge Deep Learning models on consumer GPUs (like GTX 1050ti) The network often doesn't work. The reason is that the GPU just doesn't have enough ...
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tf.keras: val accuracy on mnist dataset drops to random guess

For transfer learning purposes I changed mnist into 224x224 px dataset and applied skeletonizing algorithms. I want to train MNIST dataset on "squeezenet" like CNN, which can be found on github. The ...
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Using GPUs of other machines in the network with Keras

My situation is as follows: I have a rather cheap laptop with Ubuntu 18.04 running on it that unfortunately is not powerful enough (old, cheap GPU) to train deep learning models with. I am located in ...
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237 views

Keras multi-gpu seems to heavily load one of the cards

I'm using Keras (tf backend) to train a neural net; I'm accelerating with GPUs using the multi gpu options in Keras. For some reason, the program seems to heavily load one of the cards and the others ...