code: def __call__(self, data):
      for f in self.base_transforms_cls:
          try:
              data = f(data)
          except Exception as e:
              stack_info = traceback.format_exc()
              logger.warning(
                  "fail to map sample transform [{}] "
                  "with error: {} and stack:\n{}".format(
                      f, e, str(stack_info)
                  )
              )
              raise e
  
      weak_data = deepcopy(data)
      strong_data = deepcopy(data)
      for f in self.weak_augs_cls:
          try:
              weak_data = f(weak_data)
          except Exception as e:
              stack_info = traceback.format_exc()
              logger.warning(
                  "fail to map weak aug [{}] "
                  "with error: {} and stack:\n{}".format(
                      f, e, str(stack_info)
                  )
              )
              raise e
  
      for f in self.strong_augs_cls:
          try:
              strong_data = f(strong_data)
          except Exception as e:
              stack_info = traceback.format_exc()
              logger.warning(
                  "fail to map strong aug [{}] "
                  "with error: {} and stack:\n{}".format(
                      f, e, str(stack_info)
                  )
              )
              raise e
  
      weak_data["strong_aug"] = strong_data
      return weak_data
  
imports: import copy
  import os
  import traceback
  import six
  import sys
  import numpy
  import paddle
  import paddle.nn.functional
  from copy import deepcopy
  from paddle.io import DataLoader, DistributedBatchSampler
  from .utils import default_collate_fn
  from ppdet.core.workspace import register
  from .None import transform
  from .shm_utils import _get_shared_memory_size_in_M
  from ppdet.utils.logger import setup_logger
label_desc: Use image node_id 2 for calling the Compose_SSOD obj's underlying member method code with example usage: obj.__call__(data) and returns: weak_data