easy_rec/python/compat/feature_column/feature_column_v2.py [3039:3079]:
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    shape = array_ops.shape(sparse_tensor)
    target_shape = [shape[0], shape[1], math_ops.reduce_prod(shape[2:])]
    ret_seq_tensor = sparse_ops.sparse_reshape(sparse_tensor, target_shape)
    return CategoricalColumn.IdWeightPair(ret_seq_tensor, None)

  def get_sparse_tensors(self, transformation_cache, state_manager):
    """Converts dense inputs to SparseTensor so downstream code can use it."""
    input_tensor = transformation_cache.get(self, state_manager)
    return self._get_sparse_tensors_for_input_tensor(input_tensor)

  @deprecation.deprecated(_FEATURE_COLUMN_DEPRECATION_DATE,
                          _FEATURE_COLUMN_DEPRECATION)
  def _get_sparse_tensors(self,
                          inputs,
                          weight_collections=None,
                          trainable=None):
    """Converts dense inputs to SparseTensor so downstream code can use it."""
    del weight_collections
    del trainable
    input_tensor = inputs.get(self)
    return self._get_sparse_tensors_for_input_tensor(input_tensor)

  @property
  def parents(self):
    """See 'FeatureColumn` base class."""
    return [self.source_column]

  def _get_config(self):
    """See 'FeatureColumn` base class."""
    config = dict(zip(self._fields, self))
    config['source_column'] = serialize_feature_column(self.source_column)
    return config

  @classmethod
  def _from_config(cls, config, custom_objects=None, columns_by_name=None):
    """See 'FeatureColumn` base class."""
    _check_config_keys(config, cls._fields)
    kwargs = config.copy()
    kwargs['source_column'] = deserialize_feature_column(
        config['source_column'], custom_objects, columns_by_name)
    return cls(**kwargs)
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easy_rec/python/compat/feature_column/feature_column_v2.py [3190:3230]:
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    shape = array_ops.shape(sparse_tensor)
    target_shape = [shape[0], shape[1], math_ops.reduce_prod(shape[2:])]
    ret_seq_tensor = sparse_ops.sparse_reshape(sparse_tensor, target_shape)
    return CategoricalColumn.IdWeightPair(ret_seq_tensor, None)

  def get_sparse_tensors(self, transformation_cache, state_manager):
    """Converts dense inputs to SparseTensor so downstream code can use it."""
    input_tensor = transformation_cache.get(self, state_manager)
    return self._get_sparse_tensors_for_input_tensor(input_tensor)

  @deprecation.deprecated(_FEATURE_COLUMN_DEPRECATION_DATE,
                          _FEATURE_COLUMN_DEPRECATION)
  def _get_sparse_tensors(self,
                          inputs,
                          weight_collections=None,
                          trainable=None):
    """Converts dense inputs to SparseTensor so downstream code can use it."""
    del weight_collections
    del trainable
    input_tensor = inputs.get(self)
    return self._get_sparse_tensors_for_input_tensor(input_tensor)

  @property
  def parents(self):
    """See 'FeatureColumn` base class."""
    return [self.source_column]

  def _get_config(self):
    """See 'FeatureColumn` base class."""
    config = dict(zip(self._fields, self))
    config['source_column'] = serialize_feature_column(self.source_column)
    return config

  @classmethod
  def _from_config(cls, config, custom_objects=None, columns_by_name=None):
    """See 'FeatureColumn` base class."""
    _check_config_keys(config, cls._fields)
    kwargs = config.copy()
    kwargs['source_column'] = deserialize_feature_column(
        config['source_column'], custom_objects, columns_by_name)
    return cls(**kwargs)
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