Data Parallel Extension for NumPy*ΒΆ
dpnp is a NumPy-compatible array library for data-parallel
computing. It acts as a drop-in replacement for core NumPy* functions
and numerical data types and provides implementations of selected
SciPy* routines for data-parallel devices.
Overview
Learn about the Data Parallel Extension for NumPy*, its design principles, and what it provides.
Quick Start Guide
Get started with installation, setup, and your first dpnp program.
API Reference
Detailed documentation of all supported NumPy functions and classes
in dpnp.
Tensor (dpnp.tensor)
The underlying Array API-compliant implementation based on data-parallel algorithms for accelerators.
Development information
C++ backend API reference and extension documentation for developers.