liuxin

Results 26 comments of liuxin

![微信图片_20220525170716](https://user-images.githubusercontent.com/50068070/170226479-6d0a8989-648e-4c17-a099-6a62d24449a1.jpg)

Congratulations, hope to see your trained weights soon, 1、what precision are you using,use fp16, loss is always nan 2、In the later stage of training, the loss has been oscillating and...

thank you for your reply,I use pdb_mmcif as train dataset, I almost didn't modify the code, just did some memory optimization to speed up the performance,maybe it's because I don't...

I use pymol to visualization predicted pdb,but it doesn't show anything ,this image is visualization by another tool, I used 24GPUS, Almost 100w samples were trained

![图片1](https://user-images.githubusercontent.com/50068070/170436594-830d54c4-ac91-44cf-bf01-10b184841851.jpg)

due to the limitation of the number of GPUs, I cannot increase the length of batch_size,Could this be the problem? Where did your validation set come from?(cameo? or just a...

```python Epoch 0: 0%| | 1/10000 [00:30

> Can you show me the code you are running? > > `scn.load(12, 100)` will download the most recent and most complete dataset as a .pkl file to `./sidechainnet_data`. Hope...

openfold/model/model.py ```bash t = build_template_pair_feat( single_template_feats, inf=self.config.template.inf, eps=self.config.template.eps, **self.config.template.distogram, ).to(z.dtype) ``` I print the t,the output is follows: ![Uploading 微信图片_20220323110033.png…]()

tensor([[[[[0., 0., 0., ..., nan, nan, 0.], [0., 0., 0., ..., nan, nan, 0.], [0., 0., 0., ..., nan, nan, 0.], ..., [0., 0., 0., ..., nan, nan, 0.], [0.,...