code: def test_cpu_invalid_structure_for_weights(self):
      mid_level = self._create_mid_level()
      features = self._get_sparse_tensors()
      # Remove one element of the tuple, self.feature_config has 3 so we need to
      # pass 3 (or None).
      weights = tuple(self._get_dense_tensors(dtype=dtypes.float32)[:2])
      with self.assertRaises(ValueError):
          mid_level(features, weights=weights)
  
imports: import numpy
  from tensorflow.python.compat import v2_compat
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import init_ops_v2
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
  from tensorflow.python.tpu import tpu_embedding_for_serving
  from tensorflow.python.tpu import tpu_embedding_v2_utils
  from tensorflow.python.util import nest
label_desc: Use image node_id 13 for calling the TPUEmbeddingForServingTest obj's underlying member method code with example usage: obj.test_cpu_invalid_structure_for_weights() without return types