code: def sp_add_v(A: SparseMatrix, v: torch.Tensor) -> SparseMatrix:
      """Broadcast addition for sparse matrix and vector.
  
      See the definition of :func:`sp_broadcast_v` for details.
      """
      return sp_broadcast_v(A, v, "add")
  
file_path: dgl/python/dgl/sparse/broadcast.py
imports: import operator
  import torch
  from .sparse_matrix import SparseMatrix, val_like
label_desc: Use image node_id 2 for calling a global function with example usage: sp_add_v(A, v) and returns: sp_broadcast_v