Pytorch model not learning

Hello,
I am running a model using transfer learning with pytorch in jupyter notebook on jetson tx2. However, the model is not learning at all keeping the accuracy same all the time. When I transferred the same code in google colab, it is working and learning as expected. Please help.
Thank you.

Hi,

It sounds that the transfer learning source may not support pyTorch model.
May I know which sample do you use first?

Thanks.

I am using densenet121 available in the torchvision models.

Hi,

densenet121 is a heavy model. TX2 may not have enough computing power for re-training the model.

Please noticed that Jetson platform is designed for fast inferencing.
It’s NOT suitable for training due the memory and bandwidth limitation.

Thanks.