pangyunsheng8 / cgipool Goto Github PK
View Code? Open in Web Editor NEWLicense: MIT License
License: MIT License
Traceback (most recent call last):
File "/home/sc5/lizhipeng/GNN/pool/constrastive learning/CGIPool-main/train.py", line 127, in
main()
File "/home/sc5/lizhipeng/GNN/pool/constrastive learning/CGIPool-main/train.py", line 116, in main
train(args, model, train_loader, val_loader)
File "/home/sc5/lizhipeng/GNN/pool/constrastive learning/CGIPool-main/train.py", line 40, in train
output = model(data)
File "/home/sc5/anaconda3/envs/cl/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/sc5/lizhipeng/GNN/pool/constrastive learning/CGIPool-main/models/SAGNet.py", line 42, in forward
x, edge_index, _, batch, _, loss = self.pool1(x, edge_index, None, batch)
File "/home/sc5/anaconda3/envs/cl/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/sc5/lizhipeng/GNN/pool/constrastive learning/CGIPool-main/poolings/CGIPool.py", line 70, in forward
real_loss = self.loss_fn(self.discriminator(positive_pair), real)
File "/home/sc5/anaconda3/envs/cl/lib/python3.6/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/sc5/anaconda3/envs/cl/lib/python3.6/site-packages/torch/nn/modules/loss.py", line 530, in forward
return F.binary_cross_entropy(input, target, weight=self.weight, reduction=self.reduction)
File "/home/sc5/anaconda3/envs/cl/lib/python3.6/site-packages/torch/nn/functional.py", line 2519, in binary_cross_entropy
"Please ensure they have the same size.".format(target.size(), input.size()))
ValueError: Using a target size (torch.Size([128])) that is different to the input size (torch.Size([128, 1])) is deprecated. Please ensure they have the same size.
i have solved it. The correct code which should be:
real = torch.ones(positive_pair.shape[0],1).cuda()
fake = torch.zeros(negative_pair.shape[0],1).cuda()
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.