How to Achieve High-Performance PyTorch: 10 Pitfalls to Avoid

How to Achieve High-Performance PyTorch: 10 Pitfalls to Avoid

Click on the above “Beginner’s Guide to Vision”, choose to add “Star” or “Top” Essential insights delivered promptly IntroductionWhat does a high-performance PyTorch training pipeline look like? Is it about achieving the highest accuracy model? The fastest runtime? Easy to understand and extend? Or easily parallelized? The answer is, it includes all of the above. … Read more

PyTorch Data Import Mechanism and Standardized Code Template

PyTorch Data Import Mechanism and Standardized Code Template

Click the above “Beginner Learning Vision“, select to add “Star” or “Pin“ Important content delivered promptly As a popular deep learning framework, PyTorch seems to be surpassing TensorFlow in popularity. According to previous statistics, while TensorFlow still dominates the industry, PyTorch has gained a strong presence in top conferences in the fields of vision and … Read more

Deep Learning Model Training and Debugging: Efficient Tools and Concepts (Part 1)

Deep Learning Model Training and Debugging: Efficient Tools and Concepts (Part 1)

“IT has something to talk about” is a professional IT information and service platform under the Machinery Industry Press, dedicated to helping readers master more professional and practical knowledge and skills in the broad IT field, quickly enhancing their workplace competitiveness. Click the blue WeChat name to quickly follow us! PART1: Dataset In PyTorch, a … Read more

9 Quick Tips for Training Neural Networks with Pytorch

9 Quick Tips for Training Neural Networks with Pytorch

Source: Read Chip Technology This article is approximately 4800 words, and it is recommended to read it in 10 minutes. This article introduces 9 tips for training neural networks using Pytorch. Image Source: unsplash.com/@dulgier In fact, your model may still be at the level of the Stone Age. You might still be training with 32-bit … Read more

9 Tips to Speed Up Your PyTorch Model Training

9 Tips to Speed Up Your PyTorch Model Training

Click the above “Beginner’s Guide to Vision” to select “Star” or “Top” Heavyweight content delivered first-hand This article is sourced from | Visual Algorithms Don’t let your neural network end up like this Let’s face it, your model might still be stuck in the Stone Age. I bet you’re still using 32-bit precision or GASP … Read more

An Introduction to PyTorch Geometric for Graph Neural Networks

Hello everyone, I’m Cat Brother! Today let’s talk about PyTorch Geometric, abbreviated as PyG. This is a library based on PyTorch specifically designed for handling Graph Neural Networks (GNN). If you’re interested in graph data such as social networks, recommendation systems, molecular structures, etc., then PyG is an excellent choice! PyG provides many efficient operations … Read more

Common PyTorch Bug Affecting 95% of Users

Common PyTorch Bug Affecting 95% of Users

MLNLP ( Machine Learning Algorithms and Natural Language Processing ) community is a well-known natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and corporate researchers. The vision of the community is to promote communication between the academic and industrial fields of natural language processing and machine learning, … Read more

7 Tips to Enhance PyTorch Performance

7 Tips to Enhance PyTorch Performance

Kaggle Competition Tips Author:William Falcon, Source: AI Park Introduction Some small details can indeed improve speed. Over the past 10 months, during my work with PyTorch Lightning, the team and I have encountered many styles of structuring PyTorch code, and we have identified some key places where people inadvertently introduce bottlenecks. We are very careful … Read more

Exploring 7 Core Functions of torch.utils.data in PyTorch

Exploring 7 Core Functions of torch.utils.data in PyTorch

This article is approximately 1800 words long and is recommended to be read in 5 minutes. This article will deeply introduce the 7 core functions of the torch.utils.data module in PyTorch, which can help you better manage and manipulate data. In machine learning and deep learning projects, data processing is a crucial part. PyTorch, as … Read more