affeaa847d58416d5b9372cae521deb4550ce54d,torchreid/models/resnext.py,,init_pretrained_weights,#Any#Any#,190

Before Change

    model_dict.update(pretrain_dict)
    model.load_state_dict(model_dict)
    print("Initialized model with pretrained weights from {}".format(model_url))
    print("Imagenet weights unavailable")


def resnext50_32x4d(num_classes, loss, pretrained="imagenet", **kwargs):
    model = ResNeXt(

After Change

    Layers that don"t match with pretrained layers in name or size are kept unchanged.
    
    pretrain_dict = model_zoo.load_url(model_url)
    model_dict = model.state_dict()
    pretrain_dict = {k: v for k, v in pretrain_dict.items() if k in model_dict and model_dict[k].size() == v.size()}
    model_dict.update(pretrain_dict)
    model.load_state_dict(model_dict)
    print("Initialized model with pretrained weights from {}".format(model_url))


def resnext50_32x4d(num_classes, loss, pretrained="imagenet", **kwargs):

Instances