docstr: Simple prediction with default weights (untrained).
docstr_tok: ["Simple","prediction","with","default","weights","(","untrained",")","."]
code: def test_simple_prediction(self):
      """
      Simple prediction with default weights (untrained).
      """
  
      n = 10
      vocab_size = 11
      num_classes = 3
  
      x = torch.randint(1, 11, (n, 98))
      x = torch.cat([x, torch.zeros((n, 2), dtype=torch.long)], dim=1)
  
      model = KimCNN(vocab_size, 100, num_classes=num_classes)
  
      output = model(x)
  
      self.assertEqual(n, output.size(0))
      self.assertEqual(num_classes, output.size(1))
  
imports: import unittest
  import pytest
  from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
label_desc: Use image node_id 1 for calling the KimCNNIntegrationTest obj's underlying member method code with example usage: obj.test_simple_prediction() without return types