cupynumeric.load#

cupynumeric.load( file: str | bytes | PathLike[Any] | BinaryIO, *, max_header_size: int = 10000, ) → ndarray#

Load an array from a .npy file.

Parameters:

file (file-like object, string, or pathlib.Path) – The file to read. File-like objects must support the seek() and read() methods and must always be opened in binary mode.
max_header_size (int, optional) – Maximum allowed size of the header. Large headers may not be safe to load securely and thus require explicitly passing a larger value. See ast.literal_eval() for details.

Returns:

result – Data stored in the file.

Return type:

array

Raises:

OSError – If the input file does not exist or cannot be read.