5090不能运行示例的pp_liteseg_optic_disc_512x512_1k.yml模型

问题确认 Search before asking

• 我已经查询历史issue(包括open与closed)，没有发现相似的bug。I have searched the open and closed issues and found no similar bug report.

Bug描述 Describe the Bug

5090上安装paddlepaddle3.2.0之后运行示例的视盘分割数据集使用的pp_liteseg模型出现一下错误 D:\Software\Anaconda\envs\paddle3\lib\site-packages\paddle\nn\layer\norm.py:818: UserWarning: When training, we now always track global mean and variance. warnings.warn( D:\Software\Anaconda\envs\paddle3\lib\site-packages\paddle\\utils\decorator_utils.py:420: Warning: Non compatible API. Please refer to https://www.paddlepaddle.org.cn/documentation/docs/en/develop/guides/model_convert/convert_from_pytorch/api_difference/torch/torch.max.html first. warnings.warn( W1201 06:26:02.397688 33280 multiply_fwd_func.cc:81] got different data type, run type promotion automatically, this may cause data type been changed. W1201 06:26:02.690557 33280 backward.cc:462] While running Node (Conv2dGradNodeFinal) raises an EnforceNotMet exception Traceback (most recent call last): File "D:\Project\2025_4_month\PaddleSeg-release-2.10\tools\train.py", line 264, in main(args) File "D:\Project\2025_4_month\PaddleSeg-release-2.10\tools\train.py", line 234, in main train(model, File "D:\Project\2025_4_month\PaddleSeg-release-2.10\paddleseg\core\train.py", line 242, in train scaled.backward() # do backward File "D:\Software\Anaconda\envs\paddle3\lib\site-packages\paddle\base\wrapped_decorator.py", line 50, in wrapper return decorated(*args, **kwargs) File "D:\Software\Anaconda\envs\paddle3\lib\site-packages\paddle\base\framework.py", line 722, in impl return func(*args, **kwargs) File "D:\Software\Anaconda\envs\paddle3\lib\site-packages\paddle\base\dygraph\tensor_patch_methods.py", line 368, in backward core.eager.run_backward([self], grad_tensor, retain_graph) OSError: (External) CUDNN error(4000), CUDNN_STATUS_INTERNAL_ERROR. [Hint: Please search for the error code(4000) on website (https://docs.nvidia.com/deeplearning/cudnn/api/index.html#cudnnStatus_t) to get Nvidia's official solution and advice about CUDNN Error.] (at ../paddle/phi/kernels/gpudnn/conv_cudnn_v7.h:480)

复现环境 Environment

paddlepaddle==3.2.0 paddleseg==2.10

Bug描述确认 Bug description confirmation

• 我确认已经提供了Bug复现步骤、代码改动说明、以及环境信息，确认问题是可以复现的。I confirm that the bug replication steps, code change instructions, and environment information have been provided, and the problem can be reproduced.

是否愿意提交PR？ Are you willing to submit a PR?

• 我愿意提交PR！I'd like to help by submitting a PR!