-
Hello~ Thank you for providing this SSL library and rapid response a lot of issue.
As the title described, i have encountered the error on single machine multi-gpu mode (greater then one GPU) in nn…
-
According to Table 7(c) of NNCLR paper, the large batch size can benefit NNCLR loss. However, in the solo-learn version of NNCLR loss, it only uses data on the current GPU when using multiple GPUs, wh…
-
Hi,
thanks for your code, but there is a error when running it,
![image](https://user-images.githubusercontent.com/77918488/158773513-676799d7-040b-41a8-a5ed-46884b7048e4.png)
Is this code com…
-
微博内容精选
-
Hi,thanks for your work,
In NNCLR's model:
"
# forward pass of first input x0
f0 = self.backbone(x0).flatten(start_dim=1)
z0 = self.projection_mlp(f0)
p0 = self.predicti…
-
Hi,
Can you give me a description of how to implement NNCLR?
Thanks.
-
Hi,
Thanks for open source your codes.
Do you have any experiment results on cifar?
In my implementation I found there are no advantages or nnclr compared to simclr if controlled in same settin…
-
Hello, I am confused about the errors when pretraining models using multiple GPUs in a single node.
The pretraining scripts works well in a single GPU with --devices=0.
however, when the I changed t…
-
It seems like this repo can reproduce transfer learning results in MoCo, SwAV, SimSiam, Barlow Twins and VICReg but has large gap compared to those done in SimCLR, BYOL and NNCLR.
This figure detai…
-
I run into the following error when trying to use NNCLR's NN memory bank.
```
Traceback (most recent call last):
File "train_nnclr.py", line 295, in
model = NNCLRModel(backbone = backb…