CuPy Reference Manual

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

• CuPy Overview
  • A list of supported attributes, properties, and methods of ndarray
  • A list of supported routines of cupy module
• Multi-Dimensional Array (ndarray)
• 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
  • Random Sampling (cupy.random)
  • Sorting, Searching, and Counting
  • Statistics
  • External Functions
• NumPy-CuPy Generic Code Support
• Low-Level CUDA Support
  • Device management
  • Memory management
  • Streams and events
  • Profiler
• Kernel binary memoization
• User-Defined Kernels
  • Basics of elementwise kernels
  • Type-generic kernels
  • Raw argument specifiers
  • Reduction kernels
  • Reference
• Testing Modules
  • Standard Assertions
  • NumPy-CuPy Consistency Check
  • Parameterized dtype Test
  • Parameterized order Test
• Environment variables
  • For install
• Difference between CuPy and NumPy
  • Cast behavior from float to integer
  • Boolean values squared
  • Random methods support dtype argument
  • Out-of-bounds indices
  • Duplicate values in indices