imagenet-swav-resnet50w2

import trace_layer2 as models
import torch

x=torch.randn(1, 3, 224, 224)

state_dict = torch.load('swav_imagenet_layer2.pt', map_location='cpu')

model = models.resnet50w2()
model.load_state_dict(state_dict)
model.eval()
feature = model(x)

traced_model = torch.jit.load('traced_swav_imagenet_layer2.pt', map_location='cpu')
traced_model.eval()
feature = traced_model(x)