code: def test_get_activation():
      # Here we just test that the scripts are runnable. Should be revised to test for correctness
      for act_type in [
          "leaky",
          "identity",
          "elu",
          "gelu",
          "gelu(tanh)",
          "gelu(sigmoid)",
          "relu",
          "sigmoid",
          "tanh",
          "softrelu",
          "softsign",
      ]:
          act = get_activation(act_type)
          act.hybridize()
          _ = act(mx.np.random.normal(0, 1, (10, 10)))
  
file_path: gluon-nlp/tests/test_layers.py
imports: import pytest
  import numpy
  from numpy.testing import assert_allclose
  import mxnet
  from gluonnlp.layers import PositionalEmbedding, SinusoidalPositionalEmbedding, LearnedPositionalEmbedding, BucketPositionalEmbedding, AdaptiveEmbedding, ProjectedAdaptiveLogSoftmaxWithLoss, get_activation, get_norm_layer
  from gluonnlp.op import relative_position_bucket
label_desc: Use image node_id 3 for calling a global function with example usage: test_get_activation() without return types