code: def __init__(self, mp_group=None, mp_size=1, out_dim=1, in_dim=0):
      if mp_group is not None:
          self.gpu_index = dist.get_rank(group=mp_group)
      else:
          self.gpu_index = 0
      self.out_dim = out_dim
      self.in_dim = in_dim
      self.mp_size = mp_size
  
imports: import os
  import torch
  import tqdm
  import deepspeed
  import deepspeed.ops.transformer
  from deepspeed.ops.transformer.inference.diffusers_attention import DeepSpeedDiffusersAttention
  from deepspeed.ops.transformer.inference.diffusers_transformer_block import DeepSpeedDiffusersTransformerBlock
  from deepspeed.ops.transformer.inference.diffusers_2d_transformer import Diffusers2DTransformerConfig
  from .replace_policy import HFBertLayerPolicy, HFGPT2LayerPolicy, BLOOMLayerPolicy
  from .replace_policy import replace_policies, generic_policies
  from deepspeed import comm
  from torch import nn
  from ..runtime.zero import GatheredParameters
  from .layers import LinearAllreduce, LinearLayer
  from .load_checkpoint import load_model_with_checkpoint
  import time
  from ..pipe import PipelineModule
label_desc: Use image node_id 1 to create a new ReplaceWithTensorSlicing object  with example: obj = ReplaceWithTensorSlicing(mp_group, mp_size, out_dim, in_dim)