indicator_column raises a TypeError when weighted_categorical_column is used as its input. #12557

    indicator_tensor = _transform_features(features, [indicator])[indicator]
  File "/data1/users/facai/.cache/bazel/_bazel_facai/3338df3cdc4fd0e5fdd3f3ae6490e0be/execroot/tensorflow/bazel-out/local-opt/bin/tensorflow/python/feature_column/feature_column_test.runfiles/org_tensorflow/tensorflow/python/feature_column/feature_column.py", line 377, in _transform_features
    outputs[column] = builder.get(column)
  File "/data1/users/facai/.cache/bazel/_bazel_facai/3338df3cdc4fd0e5fdd3f3ae6490e0be/execroot/tensorflow/bazel-out/local-opt/bin/tensorflow/python/feature_column/feature_column_test.runfiles/org_tensorflow/tensorflow/python/feature_column/feature_column.py", line 1533, in get
    transformed = column._transform_feature(self)  # pylint: disable=protected-access
  File "/data1/users/facai/.cache/bazel/_bazel_facai/3338df3cdc4fd0e5fdd3f3ae6490e0be/execroot/tensorflow/bazel-out/local-opt/bin/tensorflow/python/feature_column/feature_column_test.runfiles/org_tensorflow/tensorflow/python/feature_column/feature_column.py", line 2476, in _transform_feature
    vocab_size=self._variable_shape[-1])
  File "/data1/users/facai/.cache/bazel/_bazel_facai/3338df3cdc4fd0e5fdd3f3ae6490e0be/execroot/tensorflow/bazel-out/local-opt/bin/tensorflow/python/feature_column/feature_column_test.runfiles/org_tensorflow/tensorflow/python/ops/sparse_ops.py", line 1140, in sparse_merge
    type(vocab_size))
TypeError: vocab_size has to be a Tensor or Python int. Found <class 'tensorflow.python.framework.tensor_shape.Dimension'>