def METHOD_NAME(file_path_list: List["string"], tensor: "ndarray"):
    input_shape = tuple(tensor.shape[1:])
    for i in range(tensor.shape[0]):
        tensor[i, ...] = np.fromfile(file_path_list[i % len(file_path_list)],
                                     dtype=tensor.dtype,
                                     count=np.prod(input_shape)).reshape(input_shape)