mks0601/3DMPPE_POSENET_RELEASE

There were different results in two different environments

applech666 opened this issue · 8 comments

applech666 commented

Hi, first of all, thank you for your great work.
There were different results in two different environments.

  1. windows10, cuda9, torch=1.1, I can get a better result.
  2. ubuntu16.04 cuda10.1 torch1.4, I can get another result.
    Why do you think the same code gets inconsistent results in two environments?

thanks!

mks0601 commented

I haven't tested this code on window machines... could you use the same torch versions?

applech666 commented

windows10, cuda9, torch=1.1, In my opinion, I achieved a perfect result.
But the same code doesn't work very well in either of the following environments:

  1. ubuntu16.04 cuda10 torch1.1,
  2. ubuntu cuda10.1 torch1.4,
    Is it the CUDA version that affects the reasoning effect of the model?
mks0601 commented

I guess the reason is a different version of torchvision? Several people said that different torchvision version make the batch normalization layer work different. Could you check the torchvision version?

applech666 commented

I just tried it, and on Linux, torchvision(0.4.1) stays the same as Windows, but it still doesn't improve

applech666 commented

supplement: ubuntu cuda=10.1 torch=1.3 torchvision=0.4.1

mks0601 commented

Sorry I don't get reasons :( You'd better update torch and torchvision

applech666 commented

I've solved the problem. On Linux, due to my image data set out of order.
Thank you for your valuable time support

mks0601 commented

Good!