class_docstr: A WhereHandler which deals with the sharding strategies for torch.where.
code: def convert_physical_operand_to_logical_operand(
      self, physical_operand, target_shape
  ):
      logical_operand = copy.deepcopy(physical_operand)
      logical_operand.logical_shape = target_shape
      return logical_operand
  
file_path: colossalai/colossalai/auto_parallel/tensor_shard/node_handler/where_handler.py
imports: import copy
  from typing import Dict, List
  import torch
  from ..sharding_strategy import OperationData, OperationDataType, ShardingStrategy
  from ..utils import recover_sharding_spec_for_broadcast_shape
  from .node_handler import NodeHandler
  from .registry import operator_registry
  from .strategy import StrategyGenerator, WhereGenerator
label_desc: Use image node_id 3 for calling the WhereHandler obj's underlying member method code with example usage: obj.convert_physical_operand_to_logical_operand(physical_operand, target_shape) and returns: logical_operand