cuda.py 文件源码

def cprod(arrays, dtype = None, ignore_nan = False):
    """ 
    CUDA-enabled product of a stream of arrays. Arrays are multiplied
    along the streaming axis for performance reasons.

    Parameters
    ----------
    arrays : iterable
        Arrays to be multiplied.
    dtype : numpy.dtype, optional
        The type of the yielded array and of the accumulator in which the elements 
        are summed. The dtype of a is used by default unless a has an integer dtype 
        of less precision than the default platform integer. In that case, if a is 
        signed then the platform integer is used while if a is unsigned then an 
        unsigned integer of the same precision as the platform integer is used.
    ignore_nan : bool, optional
        If True, NaNs are ignored. Default is propagation of NaNs.

    Yields
    ------
    online_prod : ndarray
    """
    return cuda_inplace_reduce(arrays, operator = imul, dtype = dtype, 
                               ignore_nan = ignore_nan, identity = 1)