运行时错误：cuDNN错误：cuDNN\u状态\u未在pytorch中初始化

我正在我的新机器上运行CNN算法，使用PyTorch和3个Nvidia GPU，错误如下：

RuntimeError: cuDNN error: CUDNN_STATUS_NOT_INITIALIZED

File "code.py", line 342, in <module>
    trainer.fit(model)

  File "/home/.local/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 514, in fit
    self.dispatch()

  File "/home/.local/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 554, in dispatch
    self.accelerator.start_training(self)

  File "/home/.local/lib/python3.8/site-packages/pytorch_lightning/accelerators/accelerator.py", line 74, in start_training
    self.training_type_plugin.start_training(trainer)

  File "/home/.local/lib/python3.8/site-packages/pytorch_lightning/plugins/training_type/training_type_plugin.py", line 111, in start_training
    self._results = trainer.run_train()

  File "/home/.local/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 615, in run_train
    self.run_sanity_check(self.lightning_module)

  File "/home/.local/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 864, in run_sanity_check
    _, eval_results = self.run_evaluation(max_batches=self.num_sanity_val_batches)

  File "/home/.local/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 733, in run_evaluation
    output = self.evaluation_loop.evaluation_step(batch, batch_idx, dataloader_idx)

  File "/home/.local/lib/python3.8/site-packages/pytorch_lightning/trainer/evaluation_loop.py", line 164, in evaluation_step
    output = self.trainer.accelerator.validation_step(args)

  File "/home/.local/lib/python3.8/site-packages/pytorch_lightning/accelerators/accelerator.py", line 178, in validation_step
    return self.training_type_plugin.validation_step(*args)

  File "/home/.local/lib/python3.8/site-packages/pytorch_lightning/plugins/training_type/ddp.py", line 290, in validation_step
    return self.model(*args, **kwargs)

  File "/home/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
    result = self.forward(*input, **kwargs)

  File "/home/.local/lib/python3.8/site-packages/torch/nn/parallel/distributed.py", line 705, in forward
    output = self.module(*inputs[0], **kwargs[0])

  File "/home/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
    result = self.forward(*input, **kwargs)

  File "/home/.local/lib/python3.8/site-packages/pytorch_lightning/overrides/base.py", line 63, in forward
    output = self.module.validation_step(*inputs, **kwargs)

  File code.py", line 314, in validation_step
    pred = self.forward(x)

  File code.py", line 259, in forward
    x = self.conv0(x)          #([12, 600, 600])

  File "/home/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
    result = self.forward(*input, **kwargs)

  File "/home/.local/lib/python3.8/site-packages/torch/nn/modules/container.py", line 119, in forward
    input = module(input)

  File "/home/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
    result = self.forward(*input, **kwargs)

  File "/home/.local/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 399, in forward
    return self._conv_forward(input, self.weight, self.bias)

  File "/home/.local/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 395, in _conv_forward
    return F.conv2d(input, weight, bias, self.stride,



NVIDIA-MSI:

RuntimeError:cuDNN错误：cuDNN\u状态\u未初始化
文件“code.py”，第342行，在
教练：适合（模型）
文件“/home/.local/lib/python3.8/site packages/pytorch\u lightning/trainer/trainer.py”，第514行，适合
self.dispatch（）
文件“/home/.local/lib/python3.8/site packages/pytorch\u lightning/trainer/trainer.py”，第554行，已发送
self.加速器.开始训练（self）
文件“/home/.local/lib/python3.8/site packages/pytorch\u lightning/accelerators/accelerators.py”，第74行，在start\u培训中
self.training\u type\u plugin.start\u training（培训师）
文件“/home/.local/lib/python3.8/site packages/pytorch\u lightning/plugins/training\u type/training\u type\u plugin.py”，第111行，在start\u training中
self.\u results=trainer.run\u train（）
文件“/home/.local/lib/python3.8/site packages/pytorch\u lightning/trainer/trainer.py”，第615行，运行中
自我运行检查（自我闪电模块）
文件“/home/.local/lib/python3.8/site packages/pytorch\u lightning/trainer/trainer.py”，第864行，运行中的健康检查
_，eval\u results=self.run\u evaluation（最大批数=self.num\u健全性\u val\u批数）
文件“/home/.local/lib/python3.8/site packages/pytorch\u lightning/trainer/trainer.py”，第733行，运行中评估
输出=self.evaluation\u loop.evaluation\u步骤（批处理、批处理\u idx、数据加载器\u idx）
文件“/home/.local/lib/python3.8/site packages/pytorch\u lightning/trainer/evaluation\u loop.py”，评估步骤第164行
输出=自我培训师加速器验证步骤（args）
文件“/home/.local/lib/python3.8/site packages/pytorch\u lightning/accelerators/accelerators.py”，第178行，在验证步骤中
返回self.training\u type\u plugin.validation\u步骤（*args）
文件“/home/.local/lib/python3.8/site packages/pytorch\u lightning/plugins/training\u type/ddp.py”，第290行，在验证步骤中
返回self.model（*args，**kwargs）
文件“/home/.local/lib/python3.8/site packages/torch/nn/modules/module.py”，第889行，在
结果=自我转发（*输入，**kwargs）
文件“/home/.local/lib/python3.8/site packages/torch/nn/parallel/distributed.py”，第705行，向前
输出=自身模块（*输入[0]，**kwargs[0]）
文件“/home/.local/lib/python3.8/site packages/torch/nn/modules/module.py”，第889行，在
结果=自我转发（*输入，**kwargs）
文件“/home/.local/lib/python3.8/site packages/pytorch\u lightning/overrides/base.py”，第63行，向前
输出=自我模块验证步骤（*输入，**kwargs）
文件代码.py”，第314行，在验证步骤中
pred=自前向（x）
文件代码.py”，第259行，向前
x=self.conv0（x）#（[1260600]）
文件“/home/.local/lib/python3.8/site packages/torch/nn/modules/module.py”，第889行，在
结果=自我转发（*输入，**kwargs）
文件“/home/.local/lib/python3.8/site packages/torch/nn/modules/container.py”，第119行，向前
输入=模块（输入）
文件“/home/.local/lib/python3.8/site packages/torch/nn/modules/module.py”，第889行，在
结果=自我转发（*输入，**kwargs）
文件“/home/.local/lib/python3.8/site packages/torch/nn/modules/conv.py”，第399行，向前
返回self.\u conv\u forward（输入、自重、自偏压）
文件“/home/.local/lib/python3.8/site packages/torch/nn/modules/conv.py”，第395行，在_conv_forward中
返回F.conv2d（输入、重量、偏差、自步、，
NVIDIA-MSI：

代码在另一台驱动程序版本为450.51.06和Cuda版本为11的机器上运行，没有任何问题。您可以在上面看到新机器的nvidia smi。我检查了与此问题相同的其他问题的不同意见，没有人解决了我的问题