code: def get_input_grads(self, merge_multi_context=True):
      assert (
          self.binded
          and self.params_initialized
          and self.inputs_need_grad
      )
      return self._curr_module.get_input_grads(
          merge_multi_context=merge_multi_context
      )
  
imports: import logging
  import copy
  import time
  import os
  import mxnet
  import numpy
  from mxnet import context
  from mxnet.initializer import Uniform
  from mxnet.module.base_module import BaseModule
  from mxnet.module.module import Module
  from mxnet import metric
  from mxnet.model import BatchEndParam
  from mxnet import io
  import mxnet.ndarray
  from config import config
label_desc: Use image node_id 21 for calling the ParallModule obj's underlying member method code with example usage: obj.get_input_grads(merge_multi_context) and returns: self