在本文里，将在AndesAIRE平台上实践自带模型（BYOM）流程，它是从模型开发、ONNX导出、API设计、交叉编译，到在RISC-V上部署与推论的完整流程。此流程展示了AndesAIRE I370平台在灵活整合外部模型与支持多元运行环境的优势。

点击上方“Deephub Imba”,关注公众号,好文章不错过 !Scikit-Learn 1.8.0 更新引入了实验性的 Array API 支持。这意味着 CuPy 数组或 PyTorch 张量现在可以直接在 Scikit-Learn ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs Deep learning is an important part of the business of ...

Religious wars have been a cornerstone in tech. Whether it’s debating about the pros and cons of different operating systems, cloud providers, or deep learning frameworks — a few beers in, the facts ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

PyTorch has identified a malicious dependency with the same name as the framework's 'torchtriton' library. This has led to a successful compromise via the dependency confusion attack vector. PyTorch ...