huggingface / pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Home Page:https://huggingface.co/docs/timm

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[FEATURE] Add Droppath to the Xception model

lizhuoq opened this issue · comments

Has the author considered adding droppath to the Xception model?

@lizhuoq it's not too much work to add to xception_aligned https://github.com/huggingface/pytorch-image-models/blob/main/timm/models/xception_aligned.py

PR would be welcome, should be doable following examples from other models, I'm pretty behind on some other projects right now.

@rwightman Thank you for your reply amidst your busy schedule. I will try this PR.

all good