Continuous Progress: Overview of New Features in TensorFlow 2.4!

Continuous Progress: Overview of New Features in TensorFlow 2.4!

By / Goldie Gadde and Nikita Namjoshi, TensorFlow TensorFlow 2.4 has been officially released! With increased support for distributed training and mixed precision, along with the introduction of a new NumPy frontend and tools for monitoring and diagnosing performance bottlenecks, this version highlights new features and enhancements in performance and scalability. New Features of tf.distribute … Read more

Pytorch – Simple Implementation of Elastic Training

Pytorch - Simple Implementation of Elastic Training

MLNLP ( Machine Learning Algorithms and Natural Language Processing ) community is a well-known natural language processing community at home and abroad, covering domestic and foreign 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 circles of natural language processing and … Read more

Understanding PyTorch Distributed Training

Understanding PyTorch Distributed Training

Follow us on WeChat “ML_NLP“ Add us to your “Favorites“, get heavy content delivered to you first! Source丨SenseTime Academic Editor丨Jishi Platform 0 Introduction With the widespread adoption of large-scale machine learning, the emergence of ultra-large deep learning models, and the rapid development of distributed learning methods such as federated learning, distributed machine learning model training … Read more

Official TensorFlow 2.0 Distributed Training Tutorial

Official TensorFlow 2.0 Distributed Training Tutorial

Click the above “Beginner Learning Vision” to select Star or Pin. Important content delivered promptly This article is transferred from | Computer Vision Alliance Overview tf.distribute.Strategy is a TensorFlow API used to distribute training across multiple GPUs, multiple machines, or TPUs. With this API, you can distribute existing models and training code with minimal code … Read more

PyTorch Multiprocessing Tutorial

PyTorch Multiprocessing Tutorial

Click on the above“Mechanical and Electronic Engineering Technology” to follow us Multiprocessing is a term in computer science that refers to running multiple processes simultaneously, where these processes can execute different tasks at the same time. In computer operating systems, a process is the basic unit of resource allocation, and each process has its own … Read more

Minimal Implementation of Elastic Training in Pytorch

Minimal Implementation of Elastic Training in Pytorch

Click the above “Getting Started with Vision” to add a Star or “Pin” Important content delivered immediately Scan the QR code below to join the cutting-edge academic paper exchange group!You can get the latest top conference/journal paper idea interpretations and the interpretation PDFs and materials from beginner to advanced in CV, as well as the … Read more

Multiprocessing Parallel Processing in PyTorch

Multiprocessing Parallel Processing in PyTorch

Source: DeepHub IMBA This article is approximately 2000 words long and is recommended to be read in 9 minutes. Understanding and utilizing multiprocessing techniques are essential for optimizing performance in PyTorch. PyTorch is a popular deep learning framework that is very convenient when using a single GPU for computation. However, when it comes to handling … Read more

Opportunities and Challenges of MoE Large Model Training and Inference

With the development of large model technology and the proposal of the Scaling Law in 2020, it has become a consensus in the industry to improve model performance by expanding data scale and increasing model parameters. However, current large models face many engineering challenges in training, inference, and application stages. Simply increasing the model size … Read more

Understanding Distributed Logic of Large Models

MLNLP community is a well-known machine learning and natural language processing community in China and abroad, covering NLP master’s and doctoral students, university teachers, and corporate researchers. The community’s vision is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning domestically and internationally, especially for beginners. … Read more

Age-Appropriate Coaching for Young Athletes

Age-Appropriate Coaching for Young Athletes

Scroll down for English Introduction Last week marked his eighth month, yet he hadn’t started walking. Feeling compelled by the neighbor’s son, who had already achieved this milestone, the father took it upon himself to teach his own child. Determined to ensure his child’s ability to walk by the time he turned nine months old, … Read more