code: def aggregate_std(h, **kwargs):
      """
      Compute the standard deviation of the input tensor along the second to last dimension.
  
      Parameters
      ----------
      h : torch.Tensor
          Input tensor.
  
      Returns
      -------
      torch.Tensor
          Standard deviation of the input tensor along the second to last dimension.
      """
      return torch.sqrt(aggregate_var(h) + EPS)
  
file_path: deepchem/deepchem/utils/graph_utils.py
imports: import numpy
label_desc: Use image node_id 5 for calling a global function with example usage: aggregate_std(h) and returns: torch