code: def test_position_wise_feed_forward():
      """Test invoking PositionwiseFeedForward."""
      torch.manual_seed(0)
      input_ar = torch.tensor([[1.0, 2.0], [5.0, 6.0]])
      layer = torch_layers.PositionwiseFeedForward(
          d_input=2,
          d_hidden=2,
          d_output=2,
          activation="relu",
          n_layers=1,
          dropout_p=0.0,
      )
      result = layer(input_ar)
      output_ar = torch.tensor([[0.4810, 0.0000], [1.9771, 0.0000]])
      assert torch.allclose(result, output_ar, rtol=1e-4)
  
imports: import deepchem
  import numpy
  import pytest
  import os
label_desc: Use image node_id 30 for calling a global function with example usage: test_position_wise_feed_forward() without return types