AttributeError: ‘NoneType‘ object has no attribute ‘dim BN层

大早上的一来就开始写bug。

 def forward(self, x):
        x = self.conv_stem(x)
        x = self.bn1(x)
        x = self.act1(x)
        x = self.blocks(x
100 epochs completed in 0.181 hours. Optimizer stripped from D:\ultralytics-main\runs\detect\train29\weights\last.pt, 3.7MB Optimizer stripped from D:\ultralytics-main\runs\detect\train29\weights\best.pt, 3.7MB Validating D:\ultralytics-main\runs\detect\train29\weights\best.pt... Ultralytics 8.3.202 Python-3.10.18 torch-2.6.0+cu118 CUDA:0 (NVIDIA GeForce RTX 4050 Laptop GPU, 6140MiB) Traceback (most recent call last): File "D:\ultralytics-main\train.py", line 8, in <module> model.train(data=r'D:\ultralytics-main\ultralytics-main\data\blueberry.yaml', epochs=100, batch=4, imgsz=640, workers=0, device=0, amp=False) File "D:\Anaconda3\envs\yolov8\lib\site-packages\ultralytics\engine\model.py", line 800, in train self.trainer.train() File "D:\Anaconda3\envs\yolov8\lib\site-packages\ultralytics\engine\trainer.py", line 235, in train self._do_train() File "D:\Anaconda3\envs\yolov8\lib\site-packages\ultralytics\engine\trainer.py", line 511, in _do_train self.final_eval() File "D:\Anaconda3\envs\yolov8\lib\site-packages\ultralytics\engine\trainer.py", line 770, in final_eval self.metrics = self.validator(model=f) File "D:\Anaconda3\envs\yolov8\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) File "D:\Anaconda3\envs\yolov8\lib\site-packages\ultralytics\engine\validator.py", line 161, in __call__ model = AutoBackend( File "D:\Anaconda3\envs\yolov8\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) File "D:\Anaconda3\envs\yolov8\lib\site-packages\ultralytics\nn\autobackend.py", line 208, in __init__ model, _ = load_checkpoint(model, device=device, fuse=fuse) # load model, ckpt File "D:\Anaconda3\envs\yolov8\lib\site-packages\ultralytics\nn\tasks.py", line 1535, in load_checkpoint model = (model.fuse() if fuse and hasattr(model, "fuse") else model).eval().to(device) # model in eval mode File "D:\Anaconda3\envs\yolov8\lib\site-packages\ultralytics\nn\tasks.py", line 267, in fuse m.proj = fuse_conv_and_bn(m.proj, m.norm) File "D:\Anaconda3\envs\yolov8\lib\site-packages\torch\nn\modules\module.py", line 1928, in __getattr__ raise AttributeError( AttributeError: 'PatchEmbed_FasterNet' object has no attribute 'norm'
最新发布
11-06
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