code: def test_1d_input(self):
      x = torch.rand(1)
      summary.scalar("0d", x)
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  from tensorboardX import summary
  from .expect_reader import compare_proto, write_proto
  import numpy
  import pytest
  import unittest
  import torch
label_desc: Use image node_id 6 for calling the SummaryTest obj's underlying member method code with example usage: obj.test_1d_input() without return types