docstr: Tests if the encoder works as expected
  
  args:
      opt: set of options
      source_l: Length of generated input sentence
      bsize: Batchsize of generated input
docstr_tok: ["Tests","if","the","encoder","works","as","expected","args",":","opt",":","set","of","options","source_l",":","Length","of","generated","input","sentence","bsize",":","Batchsize","of","generated","input"]
code: def encoder_forward(self, opt, source_l=3, bsize=1):
      """
      Tests if the encoder works as expected
  
      args:
          opt: set of options
          source_l: Length of generated input sentence
          bsize: Batchsize of generated input
      """
      if opt.hidden_size > 0:
          opt.enc_hid_size = opt.hidden_size
      vocabs = self.get_vocabs()
      embeddings = build_embeddings(opt, vocabs)
      enc = build_encoder(opt, embeddings)
  
      test_src, test_tgt, test_length = self.get_batch(
          source_l=source_l, bsize=bsize
      )
  
      enc_out, hidden_t, test_length = enc(test_src, test_length)
  
      # Initialize vectors to compare size with
      test_hid = torch.zeros(
          self.opt.enc_layers, bsize, opt.enc_hid_size
      )
      test_out = torch.zeros(bsize, source_l, opt.dec_hid_size)
  
      # Ensure correct sizes and types
      self.assertEqual(
          test_hid.size(), hidden_t[0].size(), hidden_t[1].size()
      )
      self.assertEqual(test_out.size(), enc_out.size())
      self.assertEqual(type(enc_out), torch.Tensor)
  
file_path: OpenNMT-py/onmt/tests/test_models.py
imports: import copy
  import unittest
  import torch
  import pyonmttok
  from onmt.constants import DefaultTokens
  from collections import Counter
  import onmt
  import onmt.inputters
  import onmt.opts
  from onmt.model_builder import build_embeddings, build_encoder, build_decoder
  from onmt.utils.parse import ArgumentParser
label_desc: Use image node_id 5 for calling the TestModel obj's underlying member method code with example usage: obj.encoder_forward(opt, source_l, bsize) without return types