I don't konw where is wrong about pytorch-yolo-v1 HOT 2 OPEN

Hi, this code in repo is implemented by <pytorch 1.0, so some code in old version pytorch(such as pytorch 0.4) have been deprecated, you should change your code by using pytorch 1.0

From point 1-3 you're right, but for point 4 is not exactly right, you should change as below:
original:
images = Variable(images,volatile=True)
change to:
with torch.no_grad():
images = Variable(image)
Only this can you change directly, for ' images.detach()', after you define you variable and feed into your network, and then you don't want to optimize the variable while backward, so you need to detach this variable, and it will happen on evaluation not train, like this way:

#use it during the evaluation
output = model(input)
image = Variable(images)
image.detach()

In conclusion, after you change all code(upon all is just UserWarning, not error), you should run your network fluently, but if you can not get your expected result, please double check you dataloader or hyperparameter, thanks.

from pytorch-yolo-v1.

after torch0.4, volatile=true was deprecated, you should try 'with torch.no_grad()', or just reduce your batch_size, but it's just not use best of your memory

from pytorch-yolo-v1.