code: def aggregate_mean(h, **kwargs):
      """
      Compute the mean of the input tensor along the second to last dimension.
  
      Parameters
      ----------
      h : torch.Tensor
          Input tensor.
  
      Returns
      -------
      torch.Tensor
          Mean of the input tensor along the second to last dimension.
      """
      return torch.mean(h, dim=-2)
  
file_path: deepchem/deepchem/utils/graph_utils.py
imports: import numpy
label_desc: Use image node_id 2 for calling a global function with example usage: aggregate_mean(h) and returns: torch