def reshape(self, *newshape, **kws):
        """
        Reshape the array without changing its contents, similarly to
        :meth:`numpy.ndarray.reshape`. Example::

            d_arr = d_arr.reshape(20, 50, order='F')
        """
        if len(newshape) == 1 and isinstance(newshape[0], (tuple, list)):
            newshape = newshape[0]

        cls = type(self)
        if newshape == self.shape:
            # nothing to do
            return cls(shape=self.shape, strides=self.strides,
                       dtype=self.dtype, gpu_data=self.gpu_data)

        newarr, extents = self._dummy.reshape(*newshape, **kws)

        if extents == [self._dummy.extent]:
            return cls(shape=newarr.shape, strides=newarr.strides,
                       dtype=self.dtype, gpu_data=self.gpu_data)
        else:
            raise NotImplementedError("operation requires copying")

        Reshape the array without changing its contents, similarly to
        :meth:`numpy.ndarray.reshape`. Example::

            d_arr = d_arr.reshape(20, 50, order='F')
        
numba/cuda/cudadrv/devicearray.py