Question

我正在使用以下代码加载模型。

def load_model(checkpoint_path):
  '''
  Function that loads a checkpoint and rebuilds the model
  '''

  checkpoint = torch.load(checkpoint_path, map_location = 'cpu')

  if checkpoint['architecture'] == 'resnet18':
    model = models.resnet18(pretrained=True)

  # Freezing the parameters
    for param in model.parameters():
        param.requires_grad = False


  else:
    print('Wrong Architecture!')
    return None

  model.class_to_idx = checkpoint['class_to_idx']

  classifier = nn.Sequential(OrderedDict([
                            ('fc1', nn.Linear(512, 1024)),
                            ('relu1', nn.ReLU()),
                            ('dropout', nn.Dropout(0.2)),
                            ('fc2', nn.Linear(1024, 102))
                            ]))


  model.fc = classifier

  model.load_state_dict(checkpoint['state_dict'])

  return model

跑步时

# Load your model to this variable
model = load_model('checkpoint.pt')

出现以下错误，

RuntimeError跟踪（最近的调用）持续）在（）中 1＃将模型加载到此变量 ----> 2个模型= load_model（'checkpoint.pt'） 3 4＃如果您使用的不是224x224裁剪图像，请设置正确的尺寸在这里 5 image_size = 224

<ipython-input-11-81aef50793cb> in load_model(checkpoint_path)
     30   model.fc = classifier
     31 
---> 32   model.load_state_dict(checkpoint['state_dict'])
     33 
     34   return model

/opt/conda/lib/python3.6/site-packages/torch/nn/modules/module.py in 
load_state_dict(self, state_dict, strict)
    719         if len(error_msgs) > 0:
    720             raise RuntimeError('Error(s) in loading state_dict for 
{}:\n\t{}'.format(
--> 721                                self.__class__.__name__, 
"\n\t".join(error_msgs)))
    722 
    723     def parameters(self):

RuntimeError: Error(s) in loading state_dict for ResNet:
  Unexpected key(s) in state_dict: "bn1.num_batches_tracked", 
"layer1.0.bn1.num_batches_tracked", "layer1.0.bn2.num_batches_tracked", 
"layer1.1.bn1.num_batches_tracked", "layer1.1.bn2.num_batches_tracked", 
"layer2.0.bn1.num_batches_tracked", "layer2.0.bn2.num_batches_tracked", 
"layer2.0.downsample.1.num_batches_tracked", 
"layer2.1.bn1.num_batches_tracked", "layer2.1.bn2.num_batches_tracked", 
"layer3.0.bn1.num_batches_tracked", "layer3.0.bn2.num_batches_tracked", 
"layer3.0.downsample.1.num_batches_tracked", 
"layer3.1.bn1.num_batches_tracked", "layer3.1.bn2.num_batches_tracked", 
"layer4.0.bn1.num_batches_tracked", "layer4.0.bn2.num_batches_tracked", 
"layer4.0.downsample.1.num_batches_tracked", 
"layer4.1.bn1.num_batches_tracked", "layer4.1.bn2.num_batches_tracked".

Answer 1

我使用的是Pytorch 4.0.1，但是我加载的Jupyter Notebook使用的是4.0.0。所以我在 load_state_dict（）中添加了 strict = False 属性。

model.load_state_dict(checkpoint['state_dict'], strict=False)

RuntimeError：加载ResNet的state_dict时发生错误：

1 个答案: