code: def helper_torch_launch(
      python_cmd: str,
      nproc_per_node: int,
      use_env: bool,
      master_port: int,
      env: List[Tuple[str, str]],
      tag: List[str],
  ):
      """A replacement for torch.distributed.launch."""
      if not tag:
          tag = [t.strip() for t in python_cmd.split(" ") if t.strip()]
          tag += ["distributed"]
          tag += ["torch"]
      labml_remote.distributed.torch_launch.launch(
          python_cmd,
          n_proc_per_node=nproc_per_node,
          use_env=use_env,
          master_port=master_port,
          env_vars=util.get_env_dict(env),
          tags=tag,
      )
  
imports: from typing import List, Tuple
  import click
  import labml_remote.distributed.torch_launch
  from .None import util
label_desc: Use image node_id 1 for calling a global function with example usage: helper_torch_launch(python_cmd, nproc_per_node, use_env, master_port, env, tag) without return types