docstr: shortcut for model.generate
code: def generate(self, **kwargs):
      """shortcut for model.generate"""
  
      batch_infer_state = self.init_batch_state(**kwargs)
      if self.config.model_type == "llama":
          setattr(self.model.model, "infer_state", batch_infer_state)
  
      with torch.inference_mode():
          return self.model.generate(**kwargs)
  
imports: import os
  import warnings
  from abc import abstractmethod
  from functools import partial
  from os.path import isdir, isfile, join
  from typing import Dict, List, Optional, Union
  import numpy
  import torch
  import torch.nn
  import transformers
  from safetensors.torch import save_file
  from tqdm import tqdm
  from transformers import AutoConfig, AutoModelForCausalLM, PreTrainedModel
  from transformers.modeling_utils import no_init_weights
  from transformers.utils.generic import ContextManagers
  from transformers.utils.hub import PushToHubMixin, cached_file
  from colossalai.inference.kv_cache.batch_infer_state import BatchInferState, MemoryManager
label_desc: Use image node_id 7 for calling the BaseSmoothForCausalLM obj's underlying member method code with example usage: obj.generate() and returns: self