parameters: (nodes, feature_names, dimensions, thread_num=1)
return_statement: return _get_dense_feature(nodes, feature_names, dimensions,
                                base._LIB_OP.get_dense_feature, thread_num)
docstring: Fetch dense features of nodes.
  
      Args:
        nodes: A 1-d `Tensor` of `int64`.
        feature_names: A list of `int`. Specify float feature ids in graph to
          fetch features for nodes.
        dimensions: A list of `int`. Specify dimensions of each feature.
  
      Return:
        A list of `Tensor` with the same length as `feature_names`.
docstring_summary: Fetch dense features of nodes.
docstring_tokens: Fetch dense features of nodes .
function: def get_dense_feature(nodes, feature_names, dimensions, thread_num=1):
      """
      Fetch dense features of nodes.
  
      Args:
        nodes: A 1-d `Tensor` of `int64`.
        feature_names: A list of `int`. Specify float feature ids in graph to
          fetch features for nodes.
        dimensions: A list of `int`. Specify dimensions of each feature.
  
      Return:
        A list of `Tensor` with the same length as `feature_names`.
      """
      return _get_dense_feature(nodes, feature_names, dimensions,
                                base._LIB_OP.get_dense_feature, thread_num)
function_tokens: def get_dense_feature ( nodes , feature_names , dimensions , thread_num = 1 ) : return _get_dense_feature ( nodes , feature_names , dimensions , base . _LIB_OP . get_dense_feature , thread_num )