code: def size_processing(
      size: Union[int, torch.Size],
      dim_partition_dict: Dict[int, List[int]],
      device_mesh_info: Dict[int, int],
      target_dim: int = None,
      node_name: str = None,
  ):
      """
      This method will be invoked during runtime to convert size node value depending on distributed information.
      """
      if target_dim is not None:
          assert isinstance(size, int)
          if target_dim in dim_partition_dict:
              total_shard_size = 1
              for shard_dim in dim_partition_dict[target_dim]:
                  total_shard_size *= device_mesh_info[shard_dim]
              size = size * total_shard_size
  
      else:
          size = list(size)
          for dim, dim_size in enumerate(size):
              if dim in dim_partition_dict:
                  total_shard_size = 1
                  for shard_dim in dim_partition_dict[dim]:
                      total_shard_size *= device_mesh_info[shard_dim]
                  size[dim] = dim_size * total_shard_size
          size = torch.Size(size)
  
      return size
  
file_path: ColossalAI/colossalai/auto_parallel/passes/runtime_preparation_pass.py
imports: import operator
  from typing import Dict, List, Union
  import torch
  from torch.fx.node import Node
  from colossalai._analyzer.fx.node_util import MetaInfo
  from colossalai.auto_parallel.tensor_shard.constants import RESHAPE_FUNC_OP
  from colossalai.auto_parallel.tensor_shard.sharding_strategy import CommType, OperationDataType
  from colossalai.auto_parallel.tensor_shard.solver.strategies_constructor import StrategiesConstructor
  from colossalai.device.device_mesh import DeviceMesh
  from colossalai.tensor.comm_spec import _all_reduce
  from colossalai.tensor.shape_consistency import ShapeConsistencyManager
  from colossalai.tensor.sharding_spec import ShardingSpec
  from .constants import SHAPE_ARGUMENT_OPS
label_desc: Use image node_id 1 for calling a global function with example usage: size_processing(size, dim_partition_dict, device_mesh_info, target_dim, node_name) and returns: size