class_docstr: ModuleV1 is an old version of the PaddleHub Module format, which is no longer in use. In order to maintain
  compatibility, users can still load the corresponding Module for prediction. User should call `hub.Module`
  to initialize the corresponding object, rather than `ModuleV1`.
docstr: Get module context information, including graph structure and graph input and output variables.
docstr_tok: ["Get","module","context","information",",","including","graph","structure","and","graph","input","and","output","variables","."]
code: def context(
      self,
      signature: str = None,
      for_test: bool = False,
      trainable: bool = True,
      max_seq_len: int = 128,
  ) -> Tuple[dict, dict, paddle.static.Program]:
      """Get module context information, including graph structure and graph input and output variables."""
      program = self.program.clone(for_test=for_test)
      paddle_utils.remove_feed_fetch_op(program)
  
      # generate feed vars and fetch vars from signatures
      feed_dict = {}
      fetch_dict = {}
      varinfos = (
          [self.desc.signatures[signature]]
          if signature
          else self.desc.signatures.values()
      )
  
      for info in varinfos:
          for feed_var in info.inputs:
              paddle_var = program.global_block().vars[feed_var.name]
              feed_dict[feed_var.alias] = paddle_var
  
          for fetch_var in info.outputs:
              paddle_var = program.global_block().vars[fetch_var.name]
              fetch_dict[fetch_var.alias] = paddle_var
  
      for param in program.all_parameters():
          param.trainable = trainable
  
      # The bert series model saved by ModuleV1 sets max_seq_len to 512 by default. We need to adjust max_seq_len
      # according to the parameters in actual use.
      if "bert" in self.name or self.name.startswith("ernie"):
          self._update_bert_max_seq_len(program, feed_dict, max_seq_len)
  
      return feed_dict, fetch_dict, program
  
imports: import functools
  import os
  from typing import List
  from typing import Tuple
  import paddle.io
  import paddle2onnx
  from easydict import EasyDict
  from paddlehub.compat import paddle_utils
  from paddlehub.compat.module import module_v1_utils
  from paddlehub.utils import log
  from paddlehub.utils import utils
label_desc: Use image node_id 8 for calling the ModuleV1 obj's underlying member method code with example usage: obj.context(signature, for_test, trainable, max_seq_len) and returns: feed_dict,  fetch_dict,  program