code: def test_defaults(self):
      categorical_column = fc_lib.categorical_column_with_identity(
          key="aaa", num_buckets=3
      )
      embedding_dimension = 2
      embedding_column = tpu_fc.embedding_column_v2(
          categorical_column, dimension=embedding_dimension
      )
      # Can't test default initializer as it's a random function.
      self.assertIs(
          categorical_column, embedding_column.categorical_column
      )
      self.assertEqual(embedding_dimension, embedding_column.dimension)
      self.assertEqual("mean", embedding_column.combiner)
      self.assertEqual("aaa_embedding", embedding_column.name)
      self.assertEqual(
          (embedding_dimension,), embedding_column.variable_shape
      )
  
imports: import copy
  from absl.testing import parameterized
  from tensorflow.python.client import session
  from tensorflow.python.feature_column import feature_column_lib
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import lookup_ops
  from tensorflow.python.ops import parsing_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.tpu import feature_column_v2
  from tensorflow.python.tpu import tpu_function
label_desc: Use image node_id 1 for calling the EmbeddingColumnTestV2 obj's underlying member method code with example usage: obj.test_defaults() without return types