code: def test_forward_pass(base_layer, input_shape):
      sample_data = np.ones([1] + input_shape, dtype=np.float32)
      base_layer = base_layer()
      base_output = base_layer(sample_data)
      wn_layer = wrappers.WeightNormalization(base_layer, False)
      wn_output = wn_layer(sample_data)
      np.testing.assert_allclose(
          base_output, wn_output, rtol=1e-6, atol=1e-6
      )
  
file_path: addons/tensorflow_addons/layers/tests/wrappers_test.py
imports: import os
  import tempfile
  import pytest
  import numpy
  import tensorflow
  from tensorflow_addons.layers import wrappers
  from tensorflow_addons.utils import test_utils
label_desc: Use image node_id 12 for calling a global function with example usage: test_forward_pass(base_layer, input_shape) without return types