MLNLP(Machine Learning Algorithms and Natural Language Processing) community is a well-known natural language processing community both at home and abroad, covering NLP master’s and doctoral students, university teachers, and enterprise researchers. The vision of the community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, … Read more
1 Configuration Issues (1). For computers equipped with a GPU and a need for deep learning, set up a usable and clean deep learning environment. (2). Configure with Anaconda3 + CUDA10.0 + CuDNN + Pytorch1.2 + Pycharm. (3). Resolve the issue of not being able to use the torchvision library in Pytorch. 2 Setup Process … Read more
Click the “Little White Learns Vision” above, and choose to add “Bookmark” or “Pin“ Important content delivered first Editor’s Recommendation This article explores logic gate networks aimed at machine learning tasks through learning combinations of logic gates. These networks consist of logic gates such as AND and XOR. To achieve effective training, this article proposes … Read more
1. Download and install Visual Studio Code choose the appropriate version to install 2. Download and install conda and configure the environment Download method one: official website download Download method two: Tsinghua mirror installation 3. conda environment configuration Open advanced system settings on your computer and click on system environment variables: Find path and then … 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
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
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
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
Author丨Mia Luo @ Zhihu (Authorized Reprint) Source丨https://zhuanlan.zhihu.com/p/486360176Editor丨Xiaoshutong, Jizhi Shutong 1. Background Introduction The analysis of the PyTorch memory management mechanism mainly aims to reduce the impact of “memory fragmentation”. A simple example is: As shown in the figure above, suppose we want to allocate 800MB of memory. Although the total free memory is 1000MB, the … Read more
1 Issues 1. Always stuck on solving environment and can’t get out. Network solutions include: configuring Tsinghua source, updating conda, etc., but nothing worked.2. After downloading, there are 3 things that need to be done, the last one starting with exe (maybe), always reports an error. Network solutions include: opening prompt with administrator privileges, etc., … Read more