code: def test_multibox_detection(self, target, dev, ref_data):
      np_cls_prob, np_loc_preds, np_anchors, expected_np_out = ref_data
  
      batch_size = np_cls_prob.shape[0]
      num_anchors = 3
      num_classes = 3
      cls_prob = te.placeholder(
          (batch_size, num_anchors, num_classes), name="cls_prob"
      )
      loc_preds = te.placeholder(
          (batch_size, num_anchors * 4), name="loc_preds"
      )
      anchors = te.placeholder(
          (batch_size, num_anchors, 4), name="anchors"
      )
  
      fcompute, fschedule = tvm.topi.testing.dispatch(
          target, _multibox_detection_implement
      )
      with tvm.target.Target(target):
          out = fcompute(cls_prob, loc_preds, anchors)
          s = fschedule(out)
  
      tvm_cls_prob = tvm.nd.array(
          np_cls_prob.astype(cls_prob.dtype), dev
      )
      tvm_loc_preds = tvm.nd.array(
          np_loc_preds.astype(loc_preds.dtype), dev
      )
      tvm_anchors = tvm.nd.array(np_anchors.astype(anchors.dtype), dev)
      tvm_out = tvm.nd.array(
          np.zeros((batch_size, num_anchors, 6)).astype(out.dtype), dev
      )
      f = tvm.build(s, [cls_prob, loc_preds, anchors, out], target)
      f(tvm_cls_prob, tvm_loc_preds, tvm_anchors, tvm_out)
      tvm.testing.assert_allclose(
          tvm_out.numpy(), expected_np_out, rtol=1e-4
      )
  
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 2 for calling the TestMultiboxDetection obj's underlying member method code with example usage: obj.test_multibox_detection(target, dev, ref_data) without return types