CuPy
v1.0.3
  • Overview
  • Tutorial
  • Reference Manual
    • Indices and tables
    • Reference
      • Multi-Dimensional Array (ndarray)
      • Universal Functions (ufunc)
      • Routines
      • NumPy-CuPy Generic Code Support
      • Low-Level CUDA Support
      • Kernel binary memoization
      • Custom kernels
      • Testing Modules
      • Profiling
      • Environment variables
      • Difference between CuPy and NumPy

Development

  • API Compatibility Policy
  • Contribution Guide

Misc Notes

  • Installation Guide
  • License
CuPy
  • Docs »
  • Reference Manual
  • Edit on GitHub

Reference Manual¶

This is the official reference of CuPy, a multi-dimensional array on CUDA with a subset of NumPy interface.

Indices and tables¶

  • Index
  • Module Index

Reference¶

  • Multi-Dimensional Array (ndarray)
    • cupy.ndarray
    • Code compatibility features
    • Conversion to/from NumPy arrays
  • Universal Functions (ufunc)
    • Ufunc class
    • Available ufuncs
    • ufunc.at
  • Routines
    • Array Creation Routines
    • Array Manipulation Routines
    • Repeating part of arrays along axis
    • Rearranging elements
    • Binary Operations
    • Indexing Routines
    • Input and Output
    • Linear Algebra
    • Logic Functions
    • Mathematical Functions
    • Padding
    • Random Sampling (cupy.random)
    • Sorting, Searching, and Counting
    • Statistics
    • External Functions
  • NumPy-CuPy Generic Code Support
    • cupy.get_array_module
  • Low-Level CUDA Support
    • Device management
    • Memory management
    • Streams and events
    • Profiler
  • Kernel binary memoization
    • cupy.memoize
    • cupy.clear_memo
  • Custom kernels
    • cupy.ElementwiseKernel
    • cupy.ReductionKernel
  • Testing Modules
    • Standard Assertions
    • NumPy-CuPy Consistency Check
    • Parameterized dtype Test
    • Parameterized order Test
  • Profiling
    • time range
  • Environment variables
    • For install
  • Difference between CuPy and NumPy
    • Cast behavior from float to integer
    • Random methods support dtype argument
    • Out-of-bounds indices
    • Duplicate values in indices
    • Reduction methods return zero-dimensional array
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