code: def triu_sparse_matrix(m, k=0, gpu=False):
      m = naked(m)
      if gpu and get_array_module(m) is not cp:
          m = cp.asarray(m)
      if not gpu and get_array_module(m) is not np:
          m = m.get()
  
      sparse_m = sps if not gpu else cps
      mat = sparse_m.triu(m, k=k)
      return SparseMatrix(mat)
  
imports: import numpy
  from collections.abc import Iterable
  from typing import List
  from .core import issparse, get_array_module, cp, cps, get_sparse_module, naked, sps, splinalg
  from .array import SparseNDArray, SparseArray
label_desc: Use image node_id 4 for calling a global function with example usage: triu_sparse_matrix(m, k, gpu) and returns: SparseMatrix