code: def test_subword_decoding_greedy_forward(self, tmp_tokenizer):
      cfg = CTCBPEDecodingConfig(strategy="greedy")
      decoding = CTCBPEDecoding(
          decoding_cfg=cfg, tokenizer=tmp_tokenizer
      )
  
      B, T = 4, 20
      V = decoding.tokenizer.tokenizer.vocab_size + 1
      input_signal = torch.randn(size=(B, T, V))
      length = torch.randint(low=1, high=T, size=[B])
  
      with torch.no_grad():
          texts, _ = decoding.ctc_decoder_predictions_tensor(
              input_signal,
              length,
              fold_consecutive=True,
              return_hypotheses=False,
          )
  
          for text in texts:
              assert isinstance(text, str)
  
file_path: NeMo/tests/collections/asr/decoding/test_ctc_decoding.py
imports: import os
  from functools import lru_cache
  import pytest
  import torch
  from omegaconf import DictConfig, OmegaConf
  from nemo.collections.asr.parts.mixins import mixins
  from nemo.collections.asr.parts.submodules.ctc_decoding import CTCBPEDecoding, CTCBPEDecodingConfig, CTCDecoding, CTCDecodingConfig
  from nemo.collections.asr.parts.utils.rnnt_utils import Hypothesis
label_desc: Use image node_id 5 for calling the TestCTCDecoding obj's underlying member method code with example usage: obj.test_subword_decoding_greedy_forward(tmp_tokenizer) without return types