code: def convert_coo_to_csr(matrix):
      row_indices = matrix.indices()[0]
      return torch._convert_coo_to_csr(row_indices, matrix.size(0))
  
file_path: pytorch_sparse/benchmark/ptr2ind.py
imports: import os
  import wget
  import time
  import errno
  import argparse
  import os.path
  import torch
  from scipy.io import loadmat
label_desc: Use image node_id 4 for calling a global function with example usage: convert_coo_to_csr(matrix) and returns: torch