code: def _dataparallel_hack(base_shapes, shapes):
      """Fix module name discrepancy caused by (Distributed)DataParallel module.
  
      The parameters of a (Distributed)DataParallel module all have names that
      start with 'module'. This causes a mismatch from non-DataParallel modules.
      This function tries to match `base_shapes` to `shapes`: if the latter starts
      with 'module', then make the former too; likewise if not.
      """
      if all(k.startswith("module.") for k in shapes) and all(
          not k.startswith("module.") for k in base_shapes
      ):
          return {
              "module." + k: v for k, v in base_shapes.items()
          }, shapes
      if all(not k.startswith("module.") for k in shapes) and all(
          k.startswith("module.") for k in base_shapes
      ):
          return {
              k.strip("module."): v for k, v in base_shapes.items()
          }, shapes
      return base_shapes, shapes
  
file_path: NeMo/nemo/collections/nlp/modules/common/megatron/mup/shape.py
imports: from copy import deepcopy
  import yaml
  from torch import nn
  from torch.nn import Linear
  from torch.nn.modules.conv import _ConvNd
  from nemo.collections.nlp.modules.common.megatron.mup.infshape import InfShape, zip_infshape
  from nemo.collections.nlp.modules.common.megatron.mup.layer import MuReadout, rescale_linear_bias
label_desc: Use image node_id 5 for calling a global function with example usage: _dataparallel_hack(base_shapes, shapes) and returns: base_shapes,  shapes, unknown,  shapes, unknown,  shapes