code: def test_torch_gru():
      n_hidden = 100
      batch_size = 10
      x = torch.tensor(
          np.random.rand(batch_size, n_hidden).astype(np.float32)
      )
      h_0 = torch.tensor(
          np.random.rand(batch_size, n_hidden).astype(np.float32)
      )
      init = "xavier_uniform_"
      layer = torch_layers.GatedRecurrentUnit(n_hidden, init)
      y = layer([x, h_0])
      assert y.shape == (batch_size, n_hidden)
  
imports: import deepchem
  import numpy
  import pytest
  import os
label_desc: Use image node_id 43 for calling a global function with example usage: test_torch_gru() without return types