# Visualize and understand GPU memory in PyTorch

DevFeed: [Visualize and understand GPU memory in PyTorch](<https://devfeed.tech/articles/visualize-and-understand-gpu-memory-in-pytorch-7532.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/train_memory>)

Author: Quentin Gallouédec

Published: 2024-12-24T00:00:00Z

Content type: tutorial

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [PyTorch](<https://devfeed.tech/topics/pytorch.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [Deep neural networks](<https://devfeed.tech/topics/deep-neural-networks.md>)

Tags: [code](<https://devfeed.tech/tags/code.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [graph](<https://devfeed.tech/tags/graph.md>), [memory](<https://devfeed.tech/tags/memory.md>), [neural-networks](<https://devfeed.tech/tags/neural-networks.md>), [pytorch](<https://devfeed.tech/tags/pytorch.md>), [tensors](<https://devfeed.tech/tags/tensors.md>), [train](<https://devfeed.tech/tags/train.md>), [training](<https://devfeed.tech/tags/training.md>), [tutorial](<https://devfeed.tech/tags/tutorial.md>)

## AI overview

A tutorial on visualizing and understanding GPU memory usage in PyTorch during training. It explains how model creation, input and output tensors, activations, forward passes, backpropagation, and variable reassignment affect memory, and discusses estimating requirements and optimizing usage.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.