code: def generate_inputs(self):
      batch_size = self.batch_size
      n_units = self.n_units
      c1 = array_utils.uniform((batch_size, n_units), self.in_dtypes[0])
      c2 = array_utils.uniform((batch_size, n_units), self.in_dtypes[0])
      x1 = array_utils.uniform(
          (batch_size, 4 * n_units), self.in_dtypes[0]
      )
      x2 = array_utils.uniform(
          (batch_size, 4 * n_units), self.in_dtypes[0]
      )
      return tuple([c1, c2, x1, x2])
  
imports: import random
  import chainer
  import numpy
  import chainerx
  from chainer import utils
  from chainerx_tests import array_utils
  from chainerx_tests import dtype_utils
  from chainerx_tests import op_utils
label_desc: Use image node_id 2 for calling the TestSLstm obj's underlying member method code with example usage: obj.generate_inputs() and returns: tuple