cupy.reshape#

cupy.reshape(a, newshape, order='C')[source]#

Returns an array with new shape and same elements.

It tries to return a view if possible, otherwise returns a copy.

Parameters:
  • a (cupy.ndarray) – Array to be reshaped.

  • newshape (int or tuple of ints) – The new shape of the array to return. If it is an integer, then it is treated as a tuple of length one. It should be compatible with a.size. One of the elements can be -1, which is automatically replaced with the appropriate value to make the shape compatible with a.size.

  • order ({'C', 'F', 'A'}) – Read the elements of a using this index order, and place the elements into the reshaped array using this index order. ‘C’ means to read / write the elements using C-like index order, with the last axis index changing fastest, back to the first axis index changing slowest. ‘F’ means to read / write the elements using Fortran-like index order, with the first index changing fastest, and the last index changing slowest. Note that the ‘C’ and ‘F’ options take no account of the memory layout of the underlying array, and only refer to the order of indexing. ‘A’ means to read / write the elements in Fortran-like index order if a is Fortran contiguous in memory, C-like order otherwise.

Returns:

A reshaped view of a if possible, otherwise a copy.

Return type:

cupy.ndarray

See also

numpy.reshape()