code: def gen_model(self, input_dim, right_context_length):
      emformer = ConvEmformer(
          input_dim,
          8,
          256,
          3,
          4,
          12,
          left_context_length=30,
          right_context_length=right_context_length,
          max_memory_size=1,
      ).to(device=self.device, dtype=self.dtype)
      return emformer
  
file_path: audio/test/torchaudio_unittest/prototype/conv_emformer_test_impl.py
imports: import torch
  from torchaudio.prototype.models.conv_emformer import ConvEmformer
  from torchaudio_unittest.common_utils import TestBaseMixin
  from torchaudio_unittest.models.emformer.emformer_test_impl import EmformerTestMixin
label_desc: Use image node_id 1 for calling the ConvEmformerTestImpl obj's underlying member method code with example usage: obj.gen_model(input_dim, right_context_length) and returns: emformer