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 i in range(self.num_conv_layers):
          input_lengths = (input_lengths - 1) // 2 + 1
  
      return input_lengths
  
imports: import functools
  import inspect
  import tempfile
  import unittest
  import transformers
  from transformers import WhisperConfig, is_flax_available
  from transformers.testing_utils import is_pt_flax_cross_test, require_flax, 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_flax_common import FlaxModelTesterMixin, floats_tensor
label_desc: Use image node_id 6 for calling the FlaxWhisperEncoderModelTester obj's underlying member method code with example usage: obj.get_subsampled_output_lengths(input_lengths) and returns: input_lengths