import torch

model = torch.load("/data6/zhangw/ZW_gra_project/yolov5_result_pretrained/G0_cub100_yolov5s6_raw_e300/weights/best.pt", map_location="cpu")["model"]
model.eval()

x = torch.randn(1, 3, 640, 640)
y = model(x)

if isinstance(y, (list, tuple)):
    for o in y:
        print(o.shape)
else:
    print(y.shape)