code: def test_learned_position():
      seq_len, hidden_dim = 10, 8
      x = torch.randn(2, seq_len, hidden_dim)
      learned_position = LearnedPosition(seq_len, hidden_dim)
  
      # test shape
      assert learned_position(x).shape == x.shape
  
      # test that learned position encodings are added to the tensor
      y = learned_position(x)
      assert (y == x + learned_position._emb).all()
  
imports: import pytest
  import torch
  from projects.torch_vct.neural.entropy_model_layers import LearnedPosition, StartSym, TransformerBlock
label_desc: Use image node_id 3 for calling a global function with example usage: test_learned_position() without return types