[Deep Dive] How many times does one line of PyTorch access GPU memory? ~Counting kernels to understand slowness~

I recently read an article by Adam Mainz (@MainzOnX) titled "What even is a kernel?". It is an introductory article that ...

[LLM Anatomy] Why does your PyTorch code crash with "CUDA out of memory"? Learning the truth about VRAM and bottlenecks from CS336

Escaping the despair of "setting batch size to 1"Engineers who start fine-tuning or training their own LLMs (Large Language ...
HackerNoon

GPU Kernels Explained: The Hidden Reason Your AI Model Runs Slowly

A GPU kernel is the code that runs on the GPU when you call an operation like torch.matmul, as thousands of copies at once.
Boston University

PyTorch and Tensorflow

On this page you will find instructions on using PyTorch and Tensorflow software via your own installation or SCC modules. RCS does not intend to install newer versions of PyTorch and Tensorflow as ...
Geeky Gadgets

How to use PyTorch for Deep Learning applications – Beginners Guide

Deep learning is transforming the way we approach complex problems in various fields, from image recognition to natural language processing. Among the tools available to researchers and developers, ...
Phoronix

Mesa Expands NPU Capabilities With Support For YOLOX With PyTorch

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What is PyTorch?

PyTorch is an open-source machine learning library. While it can be used for a wide range of tasks, it is particularly ...
Visual Studio Magazine

Regression Using PyTorch New Best Practices, Part 2: Training, Accuracy, Predictions

Dr. James McCaffrey of Microsoft Research updates regression techniques and best practices guidance based on experience over the past two years, reflecting rapid advancements in machine learning with ...