AttributeError: 'collections.OrderedDict' 对象没有属性 'eval' [英] AttributeError: 'collections.OrderedDict' object has no attribute 'eval'

问题描述

我有一个看起来像这样的模型文件

I have a model file which looks like this

OrderedDict([('inp.conv1.conv.weight', 
          (0 ,0 ,0 ,.,.) = 
           -1.5073e-01  6.4760e-02  1.9156e-01
            1.2175e-01  3.5886e-02  1.3992e-01
           -1.5903e-01  8.2055e-02  1.7820e-01
          
          (0 ,0 ,1 ,.,.) = 
            1.0604e-01 -1.3653e-01  1.4803e-01
            6.0276e-02 -1.4674e-02  2.3059e-06
           -6.2192e-02 -5.1061e-03 -7.4145e-03
          
          (0 ,0 ,2 ,.,.) = 
           -5.5632e-02  3.5326e-02  6.5108e-02
            1.1411e-01 -4.4160e-02  8.2610e-02
            8.9979e-02 -3.5454e-02  4.2549e-02
          
          (1 ,0 ,0 ,.,.) = 
            4.8523e-02 -4.3961e-02  5.3614e-02
           -1.2644e-01  1.2777e-01  8.9547e-02
            3.8392e-02  2.7016e-02 -1.4552e-01
          
          (1 ,0 ,1 ,.,.) = 
            9.5537e-02  2.8748e-02  3.9772e-02
           -6.2410e-02  1.1264e-01  7.8663e-02
           -2.6374e-02  1.4401e-01 -1.7109e-01
          
          (1 ,0 ,2 ,.,.) = 
            5.1791e-02 -1.6388e-01 -1.7605e-01
            3.5028e-02  7.7164e-02 -1.4499e-01
           -2.9189e-02  2.7064e-03 -2.3228e-02
          
          (2 ,0 ,0 ,.,.) = 
           -7.4446e-03 -9.7202e-02 -1.4704e-01
           -1.0019e-02  8.1780e-02 -5.3530e-02
           -1.8412e-01  1.5988e-01 -1.3450e-01
          
          (2 ,0 ,1 ,.,.) = 
           -1.1075e-01 -5.2478e-02  6.0658e-02
            1.6739e-01 -2.9360e-02  1.2621e-01
            2.0686e-02  1.1468e-01  1.2282e-01

我想对这个模型进行推理，但是当我执行 model.eval() 时，我得到了，

I want to do inference on this model, but when i do model.eval() i get,

AttributeError: 'collections.OrderedDict' object has no attribute 'eval

推荐答案

这不是一个模型文件，而是一个状态文件.在模型文件中，存储了完整的模型，而在状态文件中，仅存储了参数.
因此，您的 OrderedDict 只是您模型的值.您将需要创建模型，然后需要将这些值加载到您的模型中.所以，这个过程将是某种形式的

It is not a model file, instead, this is a state file. In a model file, the complete model is stored, whereas in a state file only the parameters are stored.
So, your OrderedDict are just values for your model. You will need to create the model and then need to load these values into your model. So, the process will be something in form of

import torch
import torch.nn as nn

class TempModel(nn.Module):
    def __init__(self):
        self.conv1 = nn.Conv2d(3, 5, (3, 3))
    def forward(self, inp):
        return self.conv1(inp)

model = TempModel()
model.load_state_dict(torch.load(file_path))
model.eval()

您需要正确定义模型.上面例子中给出的只是一个假人.如果您自己构建模型，则可能需要更新已保存的 dict 文件的键，如前所述 这里.最好的做法是以与保存 state_dict 时完全相同的方式定义模型，然后直接执行 model.load_state_dict 即可.

You'll need to define your model properly. The one given in the example above is just a dummy. If you construct your model yourself, you might need to update the keys of the saved dict file as mentioned here. The best course of action is to define your model in exactly the same way from when the state_dict was saved and then directly executing model.load_state_dict will work.

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