code: def maskNallocate(weight_name):
      """
      Combine mask and weights
      create wcsr, iw, jw, return their names
      """
      w = workspace.FetchBlob(weight_name)
      w_csr = scipy.sparse.csr_matrix(w)
      wcsr = w_csr.data
      iw = w_csr.indptr
      jw = w_csr.indices
      workspace.FeedBlob(weight_name + "wcsr", wcsr)
      workspace.FeedBlob(weight_name + "iw", iw)
      workspace.FeedBlob(weight_name + "jw", jw)
      return (
          weight_name + "wcsr",
          weight_name + "iw",
          weight_name + "jw",
      )
  
file_path: pytorch/caffe2/experiments/python/SparseTransformer.py
imports: from caffe2.python import workspace
  import scipy.sparse
label_desc: Use image node_id 1 for calling a global function with example usage: maskNallocate(weight_name) and returns: unknown,  unknown,  unknown