CuPy
v8.6.0
  • Overview
  • Installation Guide
  • Tutorial
  • API Reference
    • Multi-Dimensional Array (ndarray)
    • Universal Functions (ufunc)
    • Routines
    • SciPy-compatible Routines
      • Discrete Fourier transforms (scipy.fft)
      • Legacy Discrete Fourier transforms (scipy.fftpack)
      • Linear Algebra
      • Multi-dimensional image processing
      • Sparse matrices
      • Special Functions
      • Signal processing
    • Sparse matrices
    • Multi-dimensional image processing
    • NumPy-CuPy Generic Code Support
    • Memory Management
    • Low-Level CUDA Support
    • Kernel binary memoization
    • Custom kernels
    • Automatic Kernel Parameters Optimizations
    • Interoperability
    • Testing Modules
    • Profiling
    • Environment variables
    • Difference between CuPy and NumPy
    • Comparison Table
    • Miscellaneous functions

Development

  • API Compatibility Policy
  • Contribution Guide

Misc Notes

  • Using CuPy on AMD GPU (experimental)
  • Upgrade Guide
  • License
CuPy
  • »
  • API Reference »
  • SciPy-compatible Routines
  • Edit on GitHub

SciPy-compatible RoutinesΒΆ

The following pages describe SciPy-compatible routines. These functions cover a subset of SciPy routines.

  • Discrete Fourier transforms (scipy.fft)
    • Fast Fourier Transforms
    • Helper functions for FFT
    • Code compatibility features
  • Legacy Discrete Fourier transforms (scipy.fftpack)
    • Fast Fourier Transforms
    • Code compatibility features
  • Linear Algebra
    • Basics
    • Decompositions
    • Special Matrices
  • Multi-dimensional image processing
    • Filters
    • Fourier Filters
    • Interpolation
    • Measurements
    • Morphology
    • OpenCV mode
  • Sparse matrices
    • Conversion to/from SciPy sparse matrices
    • Conversion to/from CuPy ndarrays
    • Sparse matrix classes
    • Functions
  • Special Functions
    • Bessel Functions
    • Information Theory Functions
    • Gamma and Related Functions
    • Raw Statistical Functions
    • Error Function
    • Other Special Functions
  • Signal processing
    • Convolution
    • Filtering
Next Previous

© Copyright 2015, Preferred Networks, inc. and Preferred Infrastructure, inc.. Revision ec025b34.

Built with Sphinx using a theme provided by Read the Docs.