def METHOD_NAME(
    self,
    project_id,
    instance_id,
    table_id,
    tensor: tf.Tensor,
    rows: List[str],
    columns: List[str],
):
    assert len(tensor.shape) == 2
    assert len(rows) == tensor.shape[0]
    assert len(columns) == tensor.shape[1]
    cli_path = _get_cbt_cli_path()
    for i, row in enumerate(tensor):
        for j, value in enumerate(row):
            cmd = [
                cli_path,
                "-project",
                project_id,
                "-instance",
                instance_id,
                "set",
                table_id,
                rows[i],
                f"{columns[j]}={value.numpy().decode()}",
            ]
            subprocess.check_output(cmd)