Xiaomeng Li

nn.BatchNorm2d cannot process input with 4 dims.

6

When I test the file resnet.py, I encountered the problems. It seems the nn.BatchNorm2d cannot process 5 dims input. ``` def test(): net = ResNet101() y = net(Variable(torch.randn(1,3,32,32))) print(y.size()) ```...

Could you provide more details on generating rank dataset

2

When generating rank dataset, what should change in test_RankSRGAN.yml? For example, if generating DIV2K_train_ESRGAN rank dataset, which_model_G in test_RankSRGAN.yml should I set?

Submission to task3 only achieves overall score 0.558

2

Hi, thanks for your code. I trained the task 3 and followed the instruction. The result below is based on training a single model for 30 epochs, and is based...

training is very slow

2

The training is very slow and GPU has not fully used. Is this the case of the code? Or I implemented wrongly? I run `python pretrain_DAMSM.py --cfg cfg/DAMSM/bird.yml --gpu 0`...

EOFError

1

`Traceback (most recent call last): File "demo_mvos_davis16.py", line 164, in main() File "demo_mvos_davis16.py", line 85, in main saved_state_dict = torch.load(normal_restore_from) File "/home/xmli/anaconda2/envs/python2/lib/python2.7/site-packages/torch/serialization.py", line 261, in load return _load(f, map_location, pickle_module)...