Traceback (most recent call last):
File "/data2/gcy/202109/AdelaiDet/tools/train_net.py", line 219, in
args=(args,),
File "/home/gcy/anaconda3/envs/detectron2/lib/python3.7/site-packages/detectron2/engine/launch.py", line 62, in launch
main_func(*args)
File "/data2/gcy/202109/AdelaiDet/tools/train_net.py", line 201, in main
trainer = Trainer(cfg)
File "/home/gcy/anaconda3/envs/detectron2/lib/python3.7/site-packages/detectron2/engine/defaults.py", line 310, in init
model = self.build_model(cfg)
File "/home/gcy/anaconda3/envs/detectron2/lib/python3.7/site-packages/detectron2/engine/defaults.py", line 452, in build_model
model = build_model(cfg)
File "/home/gcy/anaconda3/envs/detectron2/lib/python3.7/site-packages/detectron2/modeling/meta_arch/build.py", line 21, in build_model
model = META_ARCH_REGISTRY.get(meta_arch)(cfg)
File "/home/gcy/anaconda3/envs/detectron2/lib/python3.7/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 257, in init
self.backbone = build_backbone(cfg)
File "/home/gcy/anaconda3/envs/detectron2/lib/python3.7/site-packages/detectron2/modeling/backbone/build.py", line 31, in build_backbone
backbone = BACKBONE_REGISTRY.get(backbone_name)(cfg, input_shape)
File "/data2/gcy/202109/AdelaiDet/adet/modeling/backbone/fpn.py", line 90, in build_fcos_resnet_fpn_backbone
activation = cfg.MODEL.FPN.USE_RELU
File "/home/gcy/anaconda3/envs/detectron2/lib/python3.7/site-packages/yacs-0.1.8-py3.7.egg/yacs/config.py", line 141, in getattr
raise AttributeError(name)
AttributeError: USE_RELU
It seems that you are using the official Detectron2. Please use the dedicated one as instructed in the README file. For the quantization, every conv layer is followed by BN and ReLU layer.
Traceback (most recent call last): File "/data2/gcy/202109/AdelaiDet/tools/train_net.py", line 219, in
args=(args,),
File "/home/gcy/anaconda3/envs/detectron2/lib/python3.7/site-packages/detectron2/engine/launch.py", line 62, in launch
main_func(*args)
File "/data2/gcy/202109/AdelaiDet/tools/train_net.py", line 201, in main
trainer = Trainer(cfg)
File "/home/gcy/anaconda3/envs/detectron2/lib/python3.7/site-packages/detectron2/engine/defaults.py", line 310, in init
model = self.build_model(cfg)
File "/home/gcy/anaconda3/envs/detectron2/lib/python3.7/site-packages/detectron2/engine/defaults.py", line 452, in build_model
model = build_model(cfg)
File "/home/gcy/anaconda3/envs/detectron2/lib/python3.7/site-packages/detectron2/modeling/meta_arch/build.py", line 21, in build_model
model = META_ARCH_REGISTRY.get(meta_arch)(cfg)
File "/home/gcy/anaconda3/envs/detectron2/lib/python3.7/site-packages/detectron2/modeling/meta_arch/rcnn.py", line 257, in init
self.backbone = build_backbone(cfg)
File "/home/gcy/anaconda3/envs/detectron2/lib/python3.7/site-packages/detectron2/modeling/backbone/build.py", line 31, in build_backbone
backbone = BACKBONE_REGISTRY.get(backbone_name)(cfg, input_shape)
File "/data2/gcy/202109/AdelaiDet/adet/modeling/backbone/fpn.py", line 90, in build_fcos_resnet_fpn_backbone
activation = cfg.MODEL.FPN.USE_RELU
File "/home/gcy/anaconda3/envs/detectron2/lib/python3.7/site-packages/yacs-0.1.8-py3.7.egg/yacs/config.py", line 141, in getattr
raise AttributeError(name)
AttributeError: USE_RELU