code: def test_lstm_hid_init_mask():
      # test that you can set hid_init to be a layer when a mask is provided
      l_inp = InputLayer((2, 2, 3))
      l_inp_h = InputLayer((2, 5))
      l_inp_msk = InputLayer((2, 2))
      l_cell_h = InputLayer((2, 5))
      l_lstm = LSTMLayer(
          l_inp,
          5,
          hid_init=l_inp_h,
          mask_input=l_inp_msk,
          cell_init=l_cell_h,
      )
  
      x = T.tensor3()
      h = T.matrix()
      msk = T.matrix()
  
      inputs = {l_inp: x, l_inp_h: h, l_inp_msk: msk}
      output = lasagne.layers.get_output(l_lstm, inputs)
  
imports: import pytest
  from lasagne.layers import RecurrentLayer, LSTMLayer, CustomRecurrentLayer
  from lasagne.layers import InputLayer, DenseLayer, GRULayer, Gate, Layer
  from lasagne.layers import helper
  import theano
  import theano.tensor
  import numpy
  import lasagne
  from mock import Mock
label_desc: Use image node_id 29 for calling a global function with example usage: test_lstm_hid_init_mask() without return types