code: def ref_data(
      self,
      batch_size,
  ):
      # Manually create test case
      np_cls_prob = np.array(
          [[[0.2, 0.5, 0.3], [0.25, 0.3, 0.45], [0.7, 0.1, 0.2]]]
          * batch_size
      )
      np_loc_preds = np.array(
          [
              [
                  0.1,
                  -0.2,
                  0.3,
                  0.2,
                  0.2,
                  0.4,
                  0.5,
                  -0.3,
                  0.7,
                  -0.2,
                  -0.4,
                  -0.8,
              ]
          ]
          * batch_size
      )
      np_anchors = np.array(
          [
              [
                  [-0.1, -0.1, 0.1, 0.1],
                  [-0.2, -0.2, 0.2, 0.2],
                  [1.2, 1.2, 1.5, 1.5],
              ]
          ]
          * batch_size
      )
      expected_np_out = np.array(
          [
              [
                  [1, 0.69999999, 0, 0, 0.10818365, 0.10008108],
                  [0, 0.44999999, 1, 1, 1, 1],
                  [0, 0.30000001, 0, 0, 0.22903419, 0.20435292],
              ]
          ]
          * batch_size
      )
      return np_cls_prob, np_loc_preds, np_anchors, expected_np_out
  
imports: import math
  import sys
  import numpy
  import pytest
  import tvm
  import tvm.testing
  import tvm.topi.testing
  from tvm import te, topi
  from tvm.topi.vision import ssd, non_max_suppression, get_valid_counts
label_desc: Use image node_id 1 for calling the TestMultiboxDetection obj's underlying member method code with example usage: obj.ref_data(batch_size) and returns: np_cls_prob,  np_loc_preds,  np_anchors,  expected_np_out