code: def test_representation(self):
      embedded_tokens = torch.rand(1, 3, 10)
      padding_mask = torch.BoolTensor([[False, False, True]])
  
      representation = TransformerRepresentation.from_config(
          TransformerRepresentation.Config(
              ffnn_embed_dim=10, num_attention_heads=2, scaling=0.125
          ),
          embed_dim=10,
      )
  
      output = representation(embedded_tokens, padding_mask)
  
      self.assertEqual(output.shape, (1, 3, 10))
  
file_path: pytext/pytext/models/representations/test/transformer_test.py
imports: import unittest
  import torch
  from pytext.models.representations.transformer import MultiheadSelfAttention, SentenceEncoder, Transformer, TransformerLayer
  from pytext.models.representations.transformer.representation import TransformerRepresentation
label_desc: Use image node_id 1 for calling the SentenceRepresentationTest obj's underlying member method code with example usage: obj.test_representation() without return types