[to #42322933] Add cv-action-recongnition-pipeline run inference with the cpu

行为识别推理同时支持CPU和GPU
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9253438

modelscope/pipelines/cv/action_recognition_pipeline.py

@@ -32,7 +32,9 @@ class ActionRecognitionPipeline(Pipeline):
         config_path = osp.join(self.model, ModelFile.CONFIGURATION)
         logger.info(f'loading config from {config_path}')
         self.cfg = Config.from_file(config_path)
-        self.infer_model = BaseVideoModel(cfg=self.cfg).cuda()
+        self.device = torch.device(
+            'cuda' if torch.cuda.is_available() else 'cpu')
+        self.infer_model = BaseVideoModel(cfg=self.cfg).to(self.device)
         self.infer_model.eval()
         self.infer_model.load_state_dict(torch.load(model_path)['model_state'])
         self.label_mapping = self.cfg.label_mapping
@@ -40,7 +42,7 @@ class ActionRecognitionPipeline(Pipeline):
 
     def preprocess(self, input: Input) -> Dict[str, Any]:
         if isinstance(input, str):
-            video_input_data = ReadVideoData(self.cfg, input).cuda()
+            video_input_data = ReadVideoData(self.cfg, input).to(self.device)
         else:
             raise TypeError(f'input should be a str,'
                             f'  but got {type(input)}')