About training under different version of pytorch and cuda

[shangbuhuan13]

Thanks for your great work!
I am now training the code under pytorch 1.10 and cuda 11.0, because I don't have a proper GPU that satisfies the environment in README. However, I got a much lower result in AP40 moderate: 13.69, compared to the given ckpt 16.23.
Do you have some ideas about why the performance deteriorate sharply under different environments?
Thanks very much

[SuperMHP]

I do not know. Please mention that the model has a certain range of jitter. But 13.69 is very low. Most times will not happen. We also are developing the model in the higher torch.

[shangbuhuan13]

Thanks for the reply.
We now can reproduce the results.
But a weird thing is that training under 3 GPUs outperforms training under a single GPU.
We first trained the network with 1 A100, and got 13.69.
Then we trained it with 3 A100s, and got 15.70.
Other conditions were kept the same.

All in all, we get the right results.
Thanks for your work again.

[Senwang98]

@SuperMHP
I used 3 * V100 to train GUPNet, But get 15mAP.
I use pt1.7 and cuda11 to train model, I think 15mAP is a little abnormal.