CuPy
v6.7.0
  • Overview
  • Tutorial
  • Reference Manual
    • Multi-Dimensional Array (ndarray)
    • Universal Functions (ufunc)
    • Routines
    • SciPy-compatible Routines
      • Discrete Fourier transforms
      • Multi-dimensional image processing
      • Sparse matrices
      • Special Functions
    • Sparse matrices
    • Multi-dimensional image processing
    • NumPy-CuPy Generic Code Support
    • Memory Management
    • Low-Level CUDA Support
    • Kernel binary memoization
    • Custom kernels
    • Interoperability
    • Testing Modules
    • Profiling
    • Environment variables
    • Difference between CuPy and NumPy
    • Comparison Table

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  • API Compatibility Policy
  • Contribution Guide

Misc Notes

  • Installation Guide
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SciPy-compatible RoutinesΒΆ

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

  • Discrete Fourier transforms
    • Fast Fourier Transforms
    • Code compatibility features
  • Multi-dimensional image processing
    • Interpolation
    • OpenCV mode
  • Sparse matrices
    • Conversion to/from SciPy sparse matrices
    • Conversion to/from CuPy ndarrays
    • Sparse matrix classes
    • Functions
  • Special Functions
    • Bessel Functions
    • Gamma and Related Functions
    • Raw Statistical Functions
    • Error Function
    • Other Special Functions
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