code: def large_reduction_cases_for_layer_norm():
      """
      Cases for checking large reduction size for layer normalization
      """
      # Same as group norm but only `channel_last == False` since `F.layer_norm()` does not have `axis` argument.
      return large_reduction_cases_for_group_norm(False)
  
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 3 for calling a global function with example usage: large_reduction_cases_for_layer_norm() and returns: large_reduction_cases_for_group_norm