Routines (SciPy)

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

• Discrete Fourier transforms (cupyx.scipy.fft)
  • Fast Fourier Transforms (FFTs)
  • Discrete Cosine and Sine Transforms (DST and DCT)
  • Fast Hankel Transforms
  • Helper functions
  • Code compatibility features
• Legacy discrete fourier transforms (cupyx.scipy.fftpack)
  • Fast Fourier Transforms (FFTs)
  • Code compatibility features
• Linear algebra (cupyx.scipy.linalg)
  • Basics
  • Decompositions
  • Special Matrices
• Multidimensional image processing (cupyx.scipy.ndimage)
  • Filters
  • Fourier filters
  • Interpolation
  • Measurements
  • Morphology
  • OpenCV mode
• Signal processing (cupyx.scipy.signal)
  • Convolution
  • Filtering
• Sparse matrices (cupyx.scipy.sparse)
  • Conversion to/from SciPy sparse matrices
  • Conversion to/from CuPy ndarrays
  • Contents
• Sparse linear algebra (cupyx.scipy.sparse.linalg)
  • Abstract linear operators
  • Matrix norms
  • Solving linear problems
  • Matrix factorizations
• Compressed sparse graph routines (cupyx.scipy.sparse.csgraph)
  • Contents
• Spatial algorithms and data structures (cupyx.scipy.spatial)
  • Functions
• Distance computations (cupyx.scipy.spatial.distance)
  • Distance matrix computations
  • Distance functions
• Special functions (cupyx.scipy.special)
  • Bessel functions
  • Raw statistical functions
  • Information Theory functions
  • Gamma and related functions
  • Error function and Fresnel integrals
  • Legendre functions
  • Other special functions
  • Convenience functions
• Statistical functions (cupyx.scipy.stats)
  • Summary statistics

cupy.kaiser Discrete Fourier transforms (cupyx.scipy.fft)