code: 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,
      )
  
file_path: euler/tf_euler/python/euler_ops/feature_ops.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tf_euler.python.euler_ops import base
label_desc: Use image node_id 6 for calling a global function with example usage: get_dense_feature(nodes, feature_names, dimensions, thread_num) and returns: _get_dense_feature