Ben Chuanlong Du's Blog

It is never too late to learn.

Use PyTorch on GPU

Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!

PyTorch on GPU

https://pytorch.org/docs/master/notes/cuda.html

You can use the command torch.cuda.is_available() to check whether GPU is available for PyTorch. Details of GPUs can …

Models in Torchvision and Ways to Finetune Them

inception_v3 requires an input of (299, 299) while other models requires an input of (224, 224). Due to adaptive pooling used in some models, they can run on varying sized intput without throwing errors (but the results are usually not correct). You have to resize/crop an image to be the right input size (and then other necessary transformations, e.g., to_tensor

Tips on Torchvision

Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!

https://pytorch.org/docs/stable/torchvision/index.html

Machine Learning Libraries, Computing Frames and Programming Languages

Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!

  1. GPU is more accisible for average individual people. GPU is still the main tool for deep learning right now.

  2. Python Distributed Computing Frameworks (Ray, Modin, etc.) servers as a mid solution …