code: def test_abspos_encoding_init(self):
      torch.random.manual_seed(0)
      x = torch.randn(2, 32, 50)
      lengths = torch.randint(1, x.size(1), size=(x.size(0),))
      lengths[torch.randint(0, x.size(0), size=(1,))[0]] = x.size(1)
  
      relpos_enc = adapter_modules.PositionalEncodingAdapter(d_model=50)
  
      relpos_enc.extend_pe(lengths.max(), device="cpu")
  
      with torch.no_grad():
          out, pos_emb = relpos_enc(x)
          assert (out - pos_emb - x).sum().abs() <= 1e-5
          assert out.shape == x.shape
  
imports: import pytest
  import torch
  from nemo.collections.asr.parts.submodules import adapters
  from nemo.core.classes.mixins import adapter_mixin_strategies
  from nemo.utils import config_utils
label_desc: Use image node_id 7 for calling the TestASRAdapterModules obj's underlying member method code with example usage: obj.test_abspos_encoding_init() without return types