请提供下述完整信息以便快速定位问题/Please provide the following information to quickly locate the problem

使用wildreceipt或者我们自己的数据集都无法正常训练，batch_size调整到1之后依然存在这个报错

• 系统环境/System Environment：win11、GPU: 3060
• 版本号/Version：Paddle：2.3.0.post112 PaddleOCR：2.5.0.3 问题相关组件/Related components：
• 运行指令/Command Code：python ./train.py -c ../configs/kie/kie_unet_sdmgr.yml -o Global.pretrained_model=../pretrained_model/kie_vgg16/best_accuracy.pdparams
• 完整报错/Complete Error Message：

W0625 09:48:01.554232 15140 gpu_context.cc:306] device: 0, cuDNN Version: 8.2.
[2022/06/25 09:48:04] ppocr INFO: load pretrain successful from ../pretrained_model/kie_vgg16/best_accuracy
[2022/06/25 09:48:04] ppocr INFO: train dataloader has 1267 iters
[2022/06/25 09:48:04] ppocr INFO: valid dataloader has 472 iters
[2022/06/25 09:48:04] ppocr INFO: During the training process, after the 0th iteration, an evaluation is run every 80 iterations
Traceback (most recent call last):
  File "E:\project-space\ocr-tools\PaddleOCR\tools\train.py", line 191, in <module>
    main(config, device, logger, vdl_writer)
  File "E:\project-space\ocr-tools\PaddleOCR\tools\train.py", line 164, in main
    program.train(config, train_dataloader, valid_dataloader, device, model,
  File "E:\project-space\ocr-tools\PaddleOCR\tools\program.py", line 264, in train
    preds = model(batch)
  File "D:\anaconda3\envs\paddle_env\lib\site-packages\paddle\fluid\dygraph\layers.py", line 930, in __call__
    return self._dygraph_call_func(*inputs,**kwargs)
  File "D:\anaconda3\envs\paddle_env\lib\site-packages\paddle\fluid\dygraph\layers.py", line 915, in _dygraph_call_func
    outputs = self.forward(*inputs,**kwargs)
  File "E:\project-space\ocr-tools\PaddleOCR\ppocr\modeling\architectures\base_model.py", line 85, in forward
    x = self.head(x, targets=data)
  File "D:\anaconda3\envs\paddle_env\lib\site-packages\paddle\fluid\dygraph\layers.py", line 930, in __call__
    return self._dygraph_call_func(*inputs,**kwargs)
  File "D:\anaconda3\envs\paddle_env\lib\site-packages\paddle\fluid\dygraph\layers.py", line 915, in _dygraph_call_func
    outputs = self.forward(*inputs,**kwargs)
  File "E:\project-space\ocr-tools\PaddleOCR\ppocr\modeling\heads\kie_sdmgr_head.py", line 90, in forward
    nodes = self.fusion([x, nodes])
  File "D:\anaconda3\envs\paddle_env\lib\site-packages\paddle\fluid\dygraph\layers.py", line 930, in __call__
    return self._dygraph_call_func(*inputs,**kwargs)
  File "D:\anaconda3\envs\paddle_env\lib\site-packages\paddle\fluid\dygraph\layers.py", line 915, in _dygraph_call_func
    outputs = self.forward(*inputs,**kwargs)
  File "E:\project-space\ocr-tools\PaddleOCR\ppocr\modeling\heads\kie_sdmgr_head.py", line 189, in forward
    z = F.normalize(z)
  File "D:\anaconda3\envs\paddle_env\lib\site-packages\paddle\nn\functional\norm.py", line 88, in normalize
    eps = fluid.dygraph.base.to_variable([epsilon], dtype=x.dtype)
  File "D:\anaconda3\envs\paddle_env\lib\site-packages\decorator.py", line 232, in fun
    return caller(func, *(extras + args),**kw)
  File "D:\anaconda3\envs\paddle_env\lib\site-packages\paddle\fluid\wrapped_decorator.py", line 25, in __impl__
    return wrapped_func(*args,**kwargs)
  File "D:\anaconda3\envs\paddle_env\lib\site-packages\paddle\fluid\framework.py", line 434, in __impl__
    return func(*args,**kwargs)
  File "D:\anaconda3\envs\paddle_env\lib\site-packages\paddle\fluid\dygraph\base.py", line 763, in to_variable
    py_var = core.VarBase(
OSError: (External) CUDA error(700), an illegal memory access was encountered. 
  [Hint: 'cudaErrorIllegalAddress'. The device encountered a load or store instruction on an invalid memory address. This leaves the process in an inconsistentstate and any further CUDA work will return the same error. To continue using CUDA, the process must be terminated and relaunched. ] (at ..\paddle\phi\backends\gpu\cuda\cuda_info.cc:258)

Process finished with exit code 1