code: def large_reduction_cases_for_instance_norm(channel_last):
      """
      Cases for checking large reduction size for instance normalization
      """
      inspec_and_axis = []
  
      batch = 1
      ch = 256
      res_mul = [1, 2, 4, 8]
      base_res = 128
      resolutions = [base_res * factor for factor in res_mul]
      axis = 3 if channel_last else 1
  
      # Create `inspec_and_axis`
      for res in resolutions:
          if channel_last:
              shape = (batch, res, res, ch)
          else:
              shape = (batch, ch, res, res)
          inspec_and_axis.append(([Inspec(shape)], axis))
      return inspec_and_axis
  
file_path: nnabla/python/benchmark/function/test_normalization_functions.py
imports: import pytest
  import nnabla
  import nnabla.parametric_functions
  from nnabla.ext_utils import get_extension_context
  from function_benchmark import FunctionBenchmark, Inspec
label_desc: Use image node_id 4 for calling a global function with example usage: large_reduction_cases_for_instance_norm(channel_last) and returns: inspec_and_axis