code: def to_torch_sparse_coo(spmat: SparseMatrix) -> torch.Tensor:
      """Creates a torch sparse coo tensor from a sparse matrix.
  
      Parameters
      ----------
      spmat : SparseMatrix
          Sparse matrix
  
      Returns
      -------
      torch.Tensor
          torch tensor with torch.sparse_coo layout
  
      Examples
      --------
  
      >>> indices = torch.tensor([[1, 1, 2], [2, 4, 3]])
      >>> val = torch.ones(3)
      >>> spmat = dglsp.spmatrix(indices, val)
      >>> dglsp.to_torch_sparse_coo(spmat)
      tensor(indices=tensor([[1, 1, 2],
                             [2, 4, 3]]),
             values=tensor([1., 1., 1.]),
             size=(3, 5), nnz=3, layout=torch.sparse_coo)
      """
      shape = spmat.shape
      if spmat.val.dim() > 1:
          shape += spmat.val.shape[1:]
      return torch.sparse_coo_tensor(spmat.indices(), spmat.val, shape)
  
imports: from typing import Optional, Tuple
  import torch
label_desc: Use image node_id 9 for calling a global function with example usage: to_torch_sparse_coo(spmat) and returns: torch