Click on the above “Beginner Learning Vision” to select “Star” or “Top” Important content delivered first Author: Aryan Jadon Source: DeepHub IMBA Editor: Extreme City Platform Guide to Extreme City This article briefly summarizes four methods of few-shot learning image classification algorithms and implements a simple classification model using PyTorch, along with operational code. In … Read more
Introduction This article discusses how to apply torch for mixed precision computation, data parallelism, and distributed computing. Author丨Not Important What Name @ Zhihu Link丨https://zhuanlan.zhihu.com/p/360697168 Due to recent programs requiring high speed, I wanted to get results quickly, so I specifically learned about mixed precision computation and parallel operations. Since there are already many articles explaining … Read more
Click on the above“Beginner’s Guide to Vision” to select and add a Bookmark or “Pin” Important content delivered promptly This article is reprinted from: AI Park Introduction While there are other ways to achieve the same results, these operations make usage more convenient. PyTorch is a scientific package based on Python that performs advanced operations … Read more
Author | hyk_1996 Source: CSDN Blog Compiled by: Da Bai 1. Difference in Effects of nn.Module.cuda() and Tensor.cuda() Both the cuda() function can achieve memory migration from CPU to GPU for models and data, but their effects differ. For nn.Module: model = model.cuda() model.cuda() The above two lines achieve the same effect, which is memory … Read more
This article discusses the development, principles, and code practices of diffusion models. The catalyst for diffusion models began with the introduction of DDPM (Denoising Diffusion Probabilistic Model) in 2020. Before delving into the details of how the Denoising Diffusion Probabilistic Model (DDPM) works, let’s first look at some developments in existing generative artificial intelligence, which … Read more
Click on the above“Beginner’s Guide to Vision” to choose to addto favorites or “pin” Important information delivered promptly Reprinted from: Machine Heart | Edited by: Chen Chen Try a new attention pattern with FlexAttention. In theory, the attention mechanism is everything you need. However, in practice, we also need to optimize implementations of attention mechanisms … Read more
Click on the above “Beginner’s Guide to Vision” to select and add “Star” or “Pin“ Heavy content delivered first Author | OpenMMLab Editor | Jishi Platform Original link: https://zhuanlan.zhihu.com/p/430123077 Introduction With the rapid development of deep learning, the explosion of model parameters has raised increasingly high requirements for GPU memory capacity. How to train models … Read more
1 What is Pytorch Pytorch is a scientific computing package based on Python, similar to Numpy but capable of utilizing GPU acceleration. It is also a very flexible and fast research platform for deep learning. 2 Installing Pytorch Check if Your Computer Has an NVIDIA Graphics Card From a hardware perspective, NVIDIA has supported CUDA … Read more
In the previous article, we introduced OpenAI Sora, which has once again shocked the AI community with its text-to-video model, and mentioned that Sora is essentially a diffusion model + Transformer. This article continues to discuss the development, principles, and coding practices of diffusion models. The catalyst for diffusion models began with the introduction of … Read more
Click on the above“Beginner’s Guide to Vision”, select to add “Bookmark” or “Pin” Heavyweight content delivered at the first moment This article is adapted from: Deep Learning Matters Background The dynamic graph framework of PyTorch is primarily implemented in the code under torch/csrc/autograd. This directory defines three main base classes: Variable, Function, Engine, which together … Read more