code: def sparse_matrix_to_dense(A: SparseMatrix):
      dense = A.to_dense()
      return clone_detach_and_grad(dense)
  
file_path: dgl/tests/python/pytorch/sparse/utils.py
imports: import numpy
  import torch
  from dgl.sparse import diag, from_csc, from_csr, SparseMatrix, spmatrix
label_desc: Use image node_id 10 for calling a global function with example usage: sparse_matrix_to_dense(A) and returns: clone_detach_and_grad