Update Op

Signed-off-by: Jael Gu <mengjia.gu@zilliz.com>

nn_fingerprint.py

@@ -20,7 +20,6 @@ from pathlib import Path
 from typing import List, Union
 
 import torch
-from torch import nn
 import torchaudio
 import numpy
 
@@ -36,9 +35,8 @@ warnings.filterwarnings('ignore')
 log = logging.getLogger('nnfp_op')
 
 
-class Model(nn.Module):
+class Model:
     def __init__(self, model_name, device='cpu', model_path=None):
-        super().__init__()
         self.device = device
         if model_name == 'nnfp_default':
             self.params = default_params
@@ -98,15 +96,16 @@ class NNFingerprint(NNOperator):
             device = 'cuda' if torch.cuda.is_available() else 'cpu'
         self.device = device
         self.model_name = model_name
-        self.model = Model(model_name=model_name, device=self.device, model_path=model_path)
-        self.params = self.model.params
+        self.accelerate_model = Model(model_name=model_name, device=self.device, model_path=model_path)
+        self.model = self.accelerate_model.model
+        self.params = self.accelerate_model.params
 
     def __call__(self, data: Union[str, List[AudioFrame]]) -> numpy.ndarray:
         audio_tensors = self.preprocess(data)
         if audio_tensors.device != self.device:
             audio_tensors = audio_tensors.to(self.device)
         # print(audio_tensors.shape)
-        features = self.model(audio_tensors)
+        features = self.accelerate_model(audio_tensors)
         outs = features.detach().cpu().numpy()
         return outs