加载预训练模型 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)
我正在像这样保存我的模型.如何加载模型以便我可以在其他地方使用它,比如 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,我得到这个错误:
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'
我在这里错过了什么???
What am I missing here???
我想使用我训练的模型来可视化过滤器和梯度.我正在使用这个 repo使可见.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,您已经说明了您的模型.而torch.load() 会给你一本字典.那本字典没有 eval 函数.所以你应该将权重上传到你的模型中.
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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