Hello!
I’ve been working with MobilenetV2 model and noticed that there is a pretrained version for it in
model_urls = {
'mobilenet_v2': 'https://download.pytorch.org/models/mobilenet_v2-b0353104.pth',
}
and it works great!
Now I want to train 0.35 depth, I was able to create model passing width_mult=0.35,
as **kwargs
. It works.
But when I try to create it with pretrained=True
it crashes on size mismatch from checkpoint and model.
I found some pre-trained models with needed depth multiplier, but I’d like so guidance how to load them to instance of torchvision model.
If you guide me - would be happy to implement loading of this model it torch code, but first of all I need to find matching 0.35 weights.
Thank you for any recommendations.