basic.py 文件源码

def copyto(dst, src, casting='same_kind', where=None):
    """Copies values from one array to another with broadcasting.

    This function can be called for arrays on different devices. In this case,
    casting, ``where``, and broadcasting is not supported, and an exception is
    raised if these are used.

    Args:
        dst (cupy.ndarray): Target array.
        src (cupy.ndarray): Source array.
        casting (str): Casting rule. See :func:`numpy.can_cast` for detail.
        where (cupy.ndarray of bool): If specified, this array acts as a mask,
            and an element is copied only if the corresponding element of
            ``where`` is True.

    .. seealso:: :func:`numpy.copyto`

    """

    src_type = type(src)
    src_is_python_scalar = (src_type in six.integer_types or
                            src_type in (bool, float, complex))
    if src_is_python_scalar:
        src_dtype = numpy.dtype(type(src))
        can_cast = numpy.can_cast(src, dst.dtype, casting)
    else:
        src_dtype = src.dtype
        can_cast = numpy.can_cast(src_dtype, dst.dtype, casting)

    if not can_cast:
        raise TypeError('Cannot cast %s to %s in %s casting mode' %
                        (src_dtype, dst.dtype, casting))
    if dst.size == 0:
        return

    if src_is_python_scalar:
        dst.fill(src)
        return

    if where is None:
        if _can_memcpy(dst, src):
            dst.data.copy_from(src.data, src.nbytes)
        else:
            device = dst.device
            with device:
                if src.device != device:
                    src = src.copy()
                core.elementwise_copy(src, dst)
    else:
        core.elementwise_copy_where(src, where, dst)