code: def spmm_max(
      src: SparseTensor, other: torch.Tensor
  ) -> Tuple[torch.Tensor, torch.Tensor]:
      rowptr, col, value = src.csr()
  
      if value is not None:
          value = value.to(other.dtype)
  
      return torch.ops.torch_sparse.spmm_max(rowptr, col, value, other)
  
file_path: pytorch_sparse/torch_sparse/matmul.py
imports: from typing import Optional, Tuple
  import torch
  from torch import Tensor
  from torch_sparse.tensor import SparseTensor
label_desc: Use image node_id 5 for calling a global function with example usage: spmm_max(src, other) and returns: torch