AsNumpy: Ascend-Native Efficient Python Mathematical Computing Library

Location: Venue 7 - B02

The explosive growth of artificial intelligence applications urgently requires improving development productivity while ensuring performance. This presentation introduces AsNumpy, a lightweight Python mathematical computing library jointly developed by Harbin Institute of Technology and Huawei that deeply supports Ascend NPU and is highly compatible with the NumPy interface. The presentation first analyzes the current computing modes of artificial intelligence, then presents the design scheme and characteristics of AsNumpy, and finally demonstrates the ease of use of AsNumpy through examples.