class_docstr: Mapping from names to officially released Detectron2 pre-trained models.
class_docstr_tok: ["Mapping","from","names","to","officially","released","Detectron2","pre-trained","models","."]
docstr: Args:
      config_path: relative config filename
docstr_tok: ["Args",":","config_path",":","relative","config","filename"]
code: def query(config_path: str) -> Optional[str]:
      """
      Args:
          config_path: relative config filename
      """
      name = config_path.replace(".yaml", "").replace(".py", "")
      if name in _ModelZooUrls.CONFIG_PATH_TO_URL_SUFFIX:
          suffix = _ModelZooUrls.CONFIG_PATH_TO_URL_SUFFIX[name]
          return _ModelZooUrls.S3_PREFIX + name + "/" + suffix
      return None
  
file_path: detectron2/detectron2/model_zoo/model_zoo.py
imports: import os
  from typing import Optional
  import pkg_resources
  import torch
  from detectron2.checkpoint import DetectionCheckpointer
  from detectron2.config import CfgNode, LazyConfig, get_cfg, instantiate
  from detectron2.modeling import build_model
label_desc: Use image node_id 1 for calling the _ModelZooUrls obj's underlying member method code with example usage: obj.query(config_path) and returns: None, unknown