code: def test_truncnorm_generates_values_with_defined_mean_and_std():
      from scipy import stats
  
      mean = 10
      std = 5
      layer = nn.Dense(in_units=1, units=100000)
      layer.initialize(init=initializer.TruncNorm(mean, std))
      samples = layer.weight.data().reshape((-1,)).asnumpy()
  
      p_value = stats.kstest(
          samples, "truncnorm", args=(-2, 2, mean, std)
      ).pvalue
      assert p_value > 0.0001
  
imports: import pytest
  from gluonnlp import initializer
  import mxnet
  from mxnet.gluon import nn
label_desc: Use image node_id 3 for calling a global function with example usage: test_truncnorm_generates_values_with_defined_mean_and_std() without return types