code: def get_edge_dense_feature(
      edges, feature_names, dimensions, thread_num=1
  ):
      """
      Fetch dense features of edges.
  
      Args:
        nodes: A 2-d `Tensor` of `int64`, with shape `[num_edges, 3]`.
        feature_names: A list of `int`. Specify float feature ids in graph to
          fetch features for edges.
        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(
          edges,
          feature_names,
          dimensions,
          base._LIB_OP.get_edge_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 7 for calling a global function with example usage: get_edge_dense_feature(edges, feature_names, dimensions, thread_num) and returns: _get_dense_feature