code: def test_forward_dropout_count(self):
      y_counts = [0] * self.length
      h_counts = [0] * self.n_layers
      c_counts = [0] * self.n_layers
  
      for _ in range(self.n_tests):
          hy1, cy1, ys1 = lstm_without_dropout(
              self.n_layers,
              self.dropout,
              self.hx,
              self.cx,
              self.ws,
              self.bs,
              self.xs,
          )
          with chainer.using_config("use_cudnn", self.use_cudnn):
              hy2, cy2, ys2 = F.n_step_lstm(
                  self.n_layers,
                  self.dropout,
                  self.hx,
                  self.cx,
                  self.ws,
                  self.bs,
                  self.xs,
              )
  
          for i in range(self.length):
              y_counts[i] += count_close(ys1[i].data, ys2[i].data)
  
          for i in range(self.n_layers):
              h_counts[i] += count_close(hy1[i].data, hy2[i].data)
              c_counts[i] += count_close(cy1[i].data, cy2[i].data)
  
      total = self.batch * self.n_tests
      for i in range(self.length):
          self.assert_count(
              y_counts[i],
              total
              * (1 - self.dropout) ** ((self.n_layers - 1) * (i + 1)),
          )
      for i in range(self.n_layers):
          self.assert_count(
              h_counts[i],
              total * (1 - self.dropout) ** (self.length * i),
          )
          self.assert_count(
              c_counts[i],
              total * (1 - self.dropout) ** (self.length * i),
          )
  
imports: import unittest
  import numpy
  import chainer
  from chainer.backends import cuda
  import chainer.functions
  from chainer import testing
  from chainer.testing import attr
  from chainer.testing import backend
  from chainer.testing import condition
label_desc: Use image node_id 3 for calling the TestNStepLSTMDropout obj's underlying member method code with example usage: obj.test_forward_dropout_count() without return types