code: def test_batch_shape(self):
      batch_shape = [4, 2]
      seed = test_util.test_seed(sampler_type="stateless")
  
      level_scale = self._build_placeholder(
          np.exp(np.random.randn(*(batch_shape)))
      )
      slope_scale = self._build_placeholder(
          np.exp(np.random.randn(*batch_shape))
      )
      autoregressive_coef = self._build_placeholder(
          np.random.randn(*batch_shape)
      )
      slope_mean = self._build_placeholder(
          np.random.randn(*batch_shape)
      )
  
      ssm = SemiLocalLinearTrendStateSpaceModel(
          num_timesteps=10,
          level_scale=level_scale,
          slope_scale=slope_scale,
          autoregressive_coef=autoregressive_coef,
          slope_mean=slope_mean,
          initial_state_prior=mvn_diag.MultivariateNormalDiag(
              scale_diag=self._build_placeholder([1.0, 1.0])
          ),
      )
  
      if self.use_static_shape:
          model_batch_shape = tensorshape_util.as_list(ssm.batch_shape)
      else:
          model_batch_shape = self.evaluate(ssm.batch_shape_tensor())
      self.assertAllEqual(model_batch_shape, batch_shape)
  
      y = ssm.sample(seed=seed)
      if self.use_static_shape:
          y_batch_shape = tensorshape_util.as_list(y.shape)[:-2]
      else:
          y_batch_shape = self.evaluate(tf.shape(y))[:-2]
      self.assertAllEqual(y_batch_shape, batch_shape)
  
imports: import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import mvn_diag
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.sts.components.local_linear_trend import LocalLinearTrendStateSpaceModel
  from tensorflow_probability.python.sts.components.semilocal_linear_trend import SemiLocalLinearTrendStateSpaceModel
label_desc: Use image node_id 4 for calling the _SemiLocalLinearTrendStateSpaceModelTest obj's underlying member method code with example usage: obj.test_batch_shape() without return types