def _ais_gets_correct_log_normalizer_wrapper(self, independent_chain_ndims):
initial_draws = np.random.normal(size=[<NUM_LIT:30>, <NUM_LIT:2>, <NUM_LIT:1>])<EOL>x_ph = tf.compat.v1.placeholder_with_default(<EOL>np.float32(initial_draws), shape=initial_draws.shape, name='<STR_LIT>')<EOL>self._ais_gets_correct_log_normalizer(x_ph, independent_chain_ndims)<EOL>
Tests that AIS yields reasonable estimates of normalizers.