easy_rec/python/compat/feature_column/feature_column_v2.py [3999:4040]:
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  @property
  def _is_v2_column(self):
    return True

  @property
  def name(self):
    """See `FeatureColumn` base class."""
    return self.feature_name if self.feature_name else self.key

  @property
  def raw_name(self):
    """See `FeatureColumn` base class."""
    return self.key

  @property
  def parse_example_spec(self):
    """See `FeatureColumn` base class."""
    return {self.key: parsing_ops.VarLenFeature(self.dtype)}

  @property
  @deprecation.deprecated(_FEATURE_COLUMN_DEPRECATION_DATE,
                          _FEATURE_COLUMN_DEPRECATION)
  def _parse_example_spec(self):
    return self.parse_example_spec

  def _transform_input_tensor(self, input_tensor):
    """Creates a lookup table for the vocabulary."""
    if self.dtype.is_integer != input_tensor.dtype.is_integer:
      raise ValueError(
          'Column dtype and SparseTensors dtype must be compatible. '
          'key: {}, column dtype: {}, tensor dtype: {}'.format(
              self.key, self.dtype, input_tensor.dtype))

    fc_utils.assert_string_or_int(
        input_tensor.dtype,
        prefix='column_name: {} input_tensor'.format(self.key))

    key_dtype = self.dtype
    if input_tensor.dtype.is_integer:
      # `index_table_from_file` requires 64-bit integer keys.
      key_dtype = dtypes.int64
      input_tensor = math_ops.cast(input_tensor, dtypes.int64)
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easy_rec/python/compat/feature_column/feature_column_v2.py [4117:4158]:
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  @property
  def _is_v2_column(self):
    return True

  @property
  def name(self):
    """See `FeatureColumn` base class."""
    return self.feature_name if self.feature_name else self.key

  @property
  def raw_name(self):
    """See `FeatureColumn` base class."""
    return self.key

  @property
  def parse_example_spec(self):
    """See `FeatureColumn` base class."""
    return {self.key: parsing_ops.VarLenFeature(self.dtype)}

  @property
  @deprecation.deprecated(_FEATURE_COLUMN_DEPRECATION_DATE,
                          _FEATURE_COLUMN_DEPRECATION)
  def _parse_example_spec(self):
    return self.parse_example_spec

  def _transform_input_tensor(self, input_tensor):
    """Creates a lookup table for the vocabulary list."""
    if self.dtype.is_integer != input_tensor.dtype.is_integer:
      raise ValueError(
          'Column dtype and SparseTensors dtype must be compatible. '
          'key: {}, column dtype: {}, tensor dtype: {}'.format(
              self.key, self.dtype, input_tensor.dtype))

    fc_utils.assert_string_or_int(
        input_tensor.dtype,
        prefix='column_name: {} input_tensor'.format(self.key))

    key_dtype = self.dtype
    if input_tensor.dtype.is_integer:
      # `index_table_from_tensor` requires 64-bit integer keys.
      key_dtype = dtypes.int64
      input_tensor = math_ops.cast(input_tensor, dtypes.int64)
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