cupy.array#

cupy.array(obj, dtype=None, copy=True, order='K', subok=False, ndmin=0)[source]#

Creates an array on the current device.

This function currently does not support the subok option.

Parameters:
  • objcupy.ndarray object or any other object that can be passed to numpy.array().

  • dtype – Data type specifier.

  • copy (bool) – If False, this function returns obj if possible. Otherwise this function always returns a new array.

  • order ({'C', 'F', 'A', 'K'}) – Row-major (C-style) or column-major (Fortran-style) order. When order is 'A', it uses 'F' if a is column-major and uses 'C' otherwise. And when order is 'K', it keeps strides as closely as possible. If obj is numpy.ndarray, the function returns 'C' or 'F' order array.

  • subok (bool) – If True, then sub-classes will be passed-through, otherwise the returned array will be forced to be a base-class array (default).

  • ndmin (int) – Minimum number of dimensions. Ones are inserted to the head of the shape if needed.

Returns:

An array on the current device.

Return type:

cupy.ndarray

Note

This method currently does not support subok argument.

Note

If obj is an numpy.ndarray instance that contains big-endian data, this function automatically swaps its byte order to little-endian, which is the NVIDIA and AMD GPU architecture’s native use.

See also

numpy.array()