Artificial intelligence has fundamentally transformed various fields from software development to content creation. However, faced with a plethora of AI tools on the market, developers often find themselves in a dilemma: either pay for a subscription to commercial platforms or waste time on inefficient tools. In fact, the open-source community has long nurtured a batch … Read more
This article evaluates the performance of MindSpore and PyTorch based on Huawei’s Ascend Neural Processing Unit (Ascend NPU). Huawei’s Ascend NPU isa chip designed specifically for accelerating neural network computations, which not onlysupports the self-developed framework MindSpore but alsohas been adapted for PyTorch. However, there is currentlya lack of comparative evaluation studies on MindSpore and … Read more
Overview The official PyTorch plugin provided by Huawei: <span>torch-npu</span> enables running PyTorch code on Huawei Ascend servers, facilitating AI development—training and inference—based on the open-source PyTorch ecosystem. Although Huawei has its own machine learning development framework: MindSpore, similar frameworks exist from companies like Baidu and Alibaba, such as Baidu’s PaddlePaddle. Essentially, these frameworks are directly … Read more
FBGEMM (Facebook General Matrix Multiplication) is a C++ library developed by Meta (Facebook) that is primarily used for low-precision, high-performance matrix multiplication and convolution operations in server-side inference. It is designed for small batch data and can significantly improve inference efficiency while supporting various techniques to reduce precision loss, such as row-wise quantization and outlier-aware … Read more
Machine Heart ReportEditor: Xiao Zhou Karpathy: for fun. A few days ago, Andrej Karpathy, former head of Tesla Autopilot and OpenAI scientist, released a project called “llm.c” that implements GPT-2 training in just 1000 lines of code on CPU/fp32. llm.c aims to simplify large model (LM) training — using pure C language / CUDA, without … Read more
Click the blue text above to follow us! To learn GNN, you will definitely use the torch_geometric package. PyG (PyTorch Geometric) is a library built on PyTorch that allows easy writing and training of Graph Neural Networks (GNNs), suitable for various applications related to structured data. A GCNConv can be easily called with just one … Read more
Source: ZHUAN ZHI This article is approximately 1200 words long and is recommended for a 5-minute read. The tutorial on "Edge Artificial Intelligence" from the IT University of Copenhagen is worth noting! From June 17 to 21, 2024, one of the top events in the field of computer vision, the International Conference on Computer Vision … Read more
This article will use the Jetson Nano to create a very simple cat-dog classifier, utilizing PyTorch’s ImageFolder to create the dataset and DataLoader to load the dataset, and learning to train with a self-built CNN. Finally, we will extract test images for prediction. Jetson Nano Remote Setup Today we will operate on the Jetson Nano … Read more
As computer programming technology continues to evolve, people’s understanding of the Python language has deepened, and Python has gradually developed into a programming language widely favored by programmers. This section will introduce an overview of the Python language, its development history, and Python library files. 1 Overview and Development History of Python Language The Python … Read more
Source: DeepHub IMBA This article is approximately 5000 words long and is suggested to be read in 10 minutes. This article starts with a simple implementation of LoRA, delving into LoRA, its practical implementation, and benchmarking. LoRA stands for Low-Rank Adaptation, which provides an efficient and lightweight method for fine-tuning pre-existing language models. One of … Read more