code: def test_layer_norm_op_c10_preallocated_outputs(
      self, X, eps, elementwise_affine, gc, dc
  ):
      # This test case ensures that it works correctly when output tensors are
      # preallocated.
      axis = np.random.randint(0, len(X.shape))
  
      self.ws.create_blob("X").feed(X)
      if elementwise_affine:
          gamma = np.random.randn(*X.shape[axis:]).astype(np.float32)
          beta = np.random.randn(*X.shape[axis:]).astype(np.float32)
          self.ws.create_blob("gamma").feed(gamma)
          self.ws.create_blob("beta").feed(beta)
  
      m = ModelHelper(name="test")
      m.net.C10LayerNorm_DontUseThisOpYet(
          ["X", "gamma", "beta"] if elementwise_affine else ["X"],
          ["Y", "mean", "std"],
          axis=axis,
          epsilon=eps,
          elementwise_affine=elementwise_affine,
      )
      self.ws.create_net(m.param_init_net).run()
      net = self.ws.create_net(m.net)
      # run two times to be extra sure that the outputs are preallocated
      net.run()
      net.run()
  
      if elementwise_affine:
          (
              expected_norm,
              expected_mean,
              expected_std,
          ) = _layer_norm_with_affine_ref(axis, eps, X, gamma, beta)
      else:
          expected_norm, expected_mean, expected_std = _layer_norm_ref(
              axis, eps, X
          )
      actual_norm = self.ws.fetch_blob("Y")
      actual_mean = self.ws.fetch_blob("mean")
      actual_std = self.ws.fetch_blob("std")
  
      assert_allclose(expected_norm, actual_norm, rtol=1e-4, atol=1e-4)
      assert_allclose(expected_mean, actual_mean)
      assert_allclose(expected_std, actual_std)
  
imports: from caffe2.python import brew, core, workspace
  from caffe2.python.model_helper import ModelHelper
  from functools import partial
  from hypothesis import given, settings
  from typing import Optional, Tuple
  import caffe2.python.hypothesis_test_util
  import caffe2.python.serialized_test.serialized_test_util
  import hypothesis.strategies
  import numpy
  import torch
  import unittest
  from ._utils import assert_allclose
label_desc: Use image node_id 5 for calling the TestLayerNormOp obj's underlying member method code with example usage: obj.test_layer_norm_op_c10_preallocated_outputs(X, eps, elementwise_affine, gc, dc) without return types