code: def test_layer_norm_export(self):
      batch_size = 16
      normalized_shape = [32, 16]
      fused = FusedLayerNorm(
          normalized_shape=normalized_shape, elementwise_affine=True
      ).cuda()
      fused_m = MixedFusedLayerNorm(
          normalized_shape=normalized_shape
      ).cuda()
      native_x, fused_x = _prep_inputs(
          batch_size, normalized_shape, torch.float32
      )
      self._verify_export(fused, fused_x)
      self._verify_export(fused_m, fused_x)
  
imports: import torch
  from apex.normalization import FusedLayerNorm
  from apex.normalization import FusedRMSNorm
  from apex.normalization import MixedFusedLayerNorm
  from apex.normalization import MixedFusedRMSNorm
  from torch.testing._internal import common_utils
  from torch.testing._internal.common_device_type import instantiate_device_type_tests
  from itertools import product
label_desc: Use image node_id 17 for calling the TestFusedLayerNorm obj's underlying member method code with example usage: obj.test_layer_norm_export() without return types