code: def test_text_embedding_encoder(self):
      embedding_params = {
          "type": "projection",
          "params": {"module": "linear", "in_dim": 756, "out_dim": 756},
      }
      self._test_init(
          encoders.TextEmbeddingEncoder,
          operator="sum",
          embedding_params=embedding_params,
      )
  
imports: import tempfile
  import unittest
  import torch
  from mmf.modules import encoders
  from omegaconf import OmegaConf
  from tests.test_utils import setup_proxy, skip_if_no_pytorchvideo, skip_if_old_transformers
  from torch import nn
label_desc: Use image node_id 5 for calling the TestEncoders obj's underlying member method code with example usage: obj.test_text_embedding_encoder() without return types