[to #42322933] revert mplug batch inference

由于之前实现的 batch 化 inference 与 pipelines/base.py 中输入 List[Input] 的情况存在冲突，移除了此处之前实现的 batch 化 inference 代码。mplug 模型在 pipeline 中推理时输入只接受 Image.Image，str，tuple，dict 类型，对于 List[Input] 的情况由 pipelines/base.py 中的代码进行处理

modelscope/models/multi_modal/mplug_for_all_tasks.py

@@ -57,18 +57,14 @@ class MPlugForAllTasks(TorchModel):
             if task == Tasks.image_text_retrieval:
                 return {OutputKeys.SCORES: output[0].tolist()}
             topk_ids, _ = output
-            topk_ids = [topk_ids[i][0] for i in range(len(topk_ids))]
-            pred_strings: List[str] = \
-                self.tokenizer.batch_decode(topk_ids, skip_special_tokens=True)
-            output = []
-            for pred_string in pred_strings:
-                for _old, _new in replace_tokens_bert:
-                    pred_string = pred_string.replace(_old, _new)
-                pred_string = pred_string.strip()
-                output.append(pred_string)
+            pred_string: List[str] = \
+                self.tokenizer.decode(topk_ids[0][0])
+            for _old, _new in replace_tokens_bert:
+                pred_string = pred_string.replace(_old, _new)
+            pred_string = pred_string.strip()
             output_key = OutputKeys.CAPTION \
                 if task == Tasks.image_captioning else OutputKeys.TEXT
-            return {output_key: output}
+            return {output_key: pred_string}
 
         # train and evaluate
         import addict