code: def sparse_to_tuple(sparse_mx):
      if not sp.isspmatrix_coo(sparse_mx):
          sparse_mx = sparse_mx.tocoo()
      coords = np.vstack((sparse_mx.row, sparse_mx.col)).transpose()
      values = sparse_mx.data
      shape = sparse_mx.shape
      return coords, values, shape
  
imports: import numpy
  import scipy.sparse
  import torch
label_desc: Use image node_id 3 for calling a global function with example usage: sparse_to_tuple(sparse_mx) and returns: coords,  values,  shape