加载预训练的模型pytorch-dict对象没有属性eval [英] load a pretrained model pytorch - dict object has no attribute eval

问题描述

def save_checkpoint(state, is_best, filename='checkpoint.pth.tar'):
    torch.save(state, filename)
    if is_best:
        shutil.copyfile(filename, 'model_best.pth.tar')


save_checkpoint({
                'epoch': epoch + 1,
                'arch': args.arch,
                'state_dict': model.state_dict(),
                'best_prec1': best_prec1,
                'optimizer': optimizer.state_dict()
            }, is_best)

我正在这样保存我的模型.如何加载模型，以便可以在其他地方使用它，例如cnn可视化?

I am saving my model like this. How can I load back the model so that I can use it in other places, like cnn visualization?

这就是我现在加载模型的方式:

This is how I am loading the model now:

torch.load('model_best.pth.tar')

但是当我这样做时，会出现此错误:

But when I do this, I get this error:

AttributeError:"dict"对象没有属性"eval"

AttributeError: 'dict' object has no attribute 'eval'

我在这里想念什么?

我想使用我训练的模型来可视化滤镜和渐变.我正在使用此 repo 来做的.我用 torch.load('model_best.pth.tar')

I want to use the model that I trained to visualize the filters and grads. I am using this repo to make the vis. I replaced line 179 with torch.load('model_best.pth.tar')

推荐答案

首先，您已经声明了模型.然后torch.load()给您一个字典.那本字典没有eval函数.因此，您应该将权重上传到模型中.

First, you have stated your model. And torch.load() gives you a dictionary. That dictionary has not an eval function. So you should upload the weights to your model.

import torch
from modelfolder import yourmodel

model = yourmodel()
checkpoint = torch.load('model_best.pth.tar')
try:
    checkpoint.eval()
except AttributeError as error:
    print error
### 'dict' object has no attribute 'eval'

model.load_state_dict(checkpoint['state_dict'])
### now you can evaluate it
model.eval()

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