docstr: Computes the output length of the convolutional layers
docstr_tok: ["Computes","the","output","length","of","the","convolutional","layers"]
code: def get_subsampled_output_lengths(self, input_lengths):
      """
      Computes the output length of the convolutional layers
      """
  
      for _ in range(self.num_conv_layers):
          input_lengths = (input_lengths - 1) // 2 + 1
  
      return input_lengths
  
imports: import inspect
  import unittest
  from transformers import Speech2TextConfig
  from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
  from transformers.utils import cached_property, is_tf_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor
label_desc: Use image node_id 5 for calling the TFSpeech2TextModelTester obj's underlying member method code with example usage: obj.get_subsampled_output_lengths(input_lengths) and returns: input_lengths