fix non-string deepseed config path bug (#11476)

* fix non-string deepseed config path bug

* Update lora_finetune_chatglm.py

python/llm/example/GPU/LLM-Finetuning/LoRA/chatglm_finetune/lora_finetune_chatglm.py

@@ -46,6 +46,7 @@ import typer
 from datasets import Dataset, DatasetDict, NamedSplit, Split, load_dataset
 from nltk.translate.bleu_score import SmoothingFunction, sentence_bleu
 from peft import (
+    get_peft_model,
     PeftConfig,
     PeftModelForCausalLM,
     get_peft_config
@@ -53,6 +54,7 @@ from peft import (
 from rouge_chinese import Rouge
 from torch import nn
 from transformers import (
+    AutoModelForCausalLM,
     AutoTokenizer,
     EvalPrediction,
     GenerationConfig,
@@ -471,7 +473,10 @@ def main(
         ],
         config_file: Annotated[str, typer.Argument(help='')],
         # Add below L474, which is path of deepspeed config file to enable finetuning on 2 Intel Arc XPU cards
-        deepspeed_config_file: Annotated[str, typer.Argument(default='', help='if specified, will apply data parallel')]
+        deepspeed_config_file: str = typer.Argument(
+            default='',
+            help='if specified, will apply data parallel'
+        ),
         auto_resume_from_checkpoint: str = typer.Argument(
             default='',
             help='If entered as yes, automatically use the latest save checkpoint. If it is a numerical example 12 15, use the corresponding save checkpoint. If the input is no, restart training'
@@ -541,7 +546,7 @@ def main(
         use_tokenizer = False if ft_config.peft_config.peft_type == "LORA" else True
 
     # Add below L544-L546 to enable finetuning on 2 Intel Arc XPU cards on top of oneccl and deepspeed
-    if deepspeed_config_file is not '':
+    if deepspeed_config_file != '':
         ft_config.training_args.ddp_backend = "ccl"
         ft_config.training_args.deepspeed = deepspeed_config_file