code: def test_constructor(self):
      config = self.get_config()
      modules = self.get_modules(
          config,
          use_transformer_engine=True,
          use_gpu=False,
      )
  
      assert isinstance(
          modules.decoder_attn, RetroDecoderCrossAttention
      )
      assert isinstance(modules.decoder_bda, RetroDecoderBiasDropoutAdd)
      assert isinstance(
          modules.encoder_attn, RetroEncoderCrossAttention
      )
      assert isinstance(modules.encoder_bda, RetroEncoderBiasDropoutAdd)
      assert isinstance(modules.encoder_norm, RetroEncoderLayerNorm)
  
      assert modules.decoder_attn.attn.layer_number == 6
      assert modules.encoder_attn.attn.layer_number == 1
  
      get_nparams = lambda m: sum(p.numel() for p in m.parameters())
      assert get_nparams(modules.decoder_attn) == 8768
      assert get_nparams(modules.decoder_bda) == 0
      assert get_nparams(modules.encoder_attn) == 1088
      assert get_nparams(modules.encoder_bda) == 0
      assert get_nparams(modules.encoder_norm) == 32
  
file_path: megatron-lm/tests/unit_tests/transformer/test_retro_attention.py
imports: import torch
  import types
  from megatron.core.models.retro import RetroConfig, get_retro_decoder_block_spec
  from megatron.core.models.retro.decoder_attention import RetroDecoderCrossAttention, RetroDecoderBiasDropoutAdd
  from megatron.core.models.retro.encoder_attention import RetroEncoderCrossAttention, RetroEncoderBiasDropoutAdd, RetroEncoderLayerNorm
  from megatron.core.tensor_parallel.random import model_parallel_cuda_manual_seed
  from megatron.core.transformer.transformer_block import TransformerBlock
  from tests.unit_tests.test_utilities import Utils
label_desc: Use image node_id 5 for calling the TestRetroAttention obj's underlying member method code with example usage: obj.test_constructor() without return types