{"library":"nvidia-mathdx","title":"nvidia-mathdx","description":"MathDx is a NVIDIA device library for accelerated math operations on GPUs, providing high-performance implementations for common mathematical functions. Version 25.6.0 is the latest. This package is part of the NVIDIA CUDA ecosystem and is updated frequently with new GPU architectures.","language":"python","status":"active","last_verified":"Fri May 01","install":{"commands":["pip install nvidia-mathdx"],"cli":null},"imports":["import nvidia_mathdx as mathdx"],"auth":{"required":false,"env_vars":[]},"quickstart":{"code":"import nvidia_mathdx as mathdx\nimport cupy as cp\n\n# Create a CuPy array\na = cp.array([1.0, 2.0, 3.0, 4.0])\n\n# Use mathdx elementwise math (example: sin)\nb = mathdx.sin(a)\nprint(b)","lang":"python","description":"Basic usage showing import pattern and calling an elementwise math function on a CuPy array.","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":null}