docstr: 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 i in range(self.num_conv_layers):
          input_lengths = (input_lengths - 1) // 2 + 1
  
      return input_lengths
  
imports: import inspect
  import os
  import tempfile
  import traceback
  import unittest
  import numpy
  from transformers import WhisperConfig, WhisperFeatureExtractor, WhisperProcessor
  from transformers.testing_utils import is_tf_available, require_tf, require_tokenizers, run_test_in_subprocess, slow
  from transformers.utils import cached_property
  from transformers.utils.import_utils import is_datasets_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 TFWhisperModelTester obj's underlying member method code with example usage: obj.get_subsampled_output_lengths(input_lengths) and returns: input_lengths