code: def merge_assert(self, dim1, dim2):
      assert (
          dim1 > dim2
      ), "Merging tensors is not allowed here! Please use deepspeed load_checkpoint\
              for merging your checkpoints before replacing the transformer layer with\
              inference-kernels"
  
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 2 for calling the ReplaceWithTensorSlicing obj's underlying member method code with example usage: obj.merge_assert(dim1, dim2) without return types