解决The kernel appears to have died. It will restart automatically问题

在用jupyter lab跑CNN时，给我报了这个错误

在网上查了很多原因，都没法解决，又问了老师，老师说很多情况都有可能导致kernel崩溃，让我用pycharm来跑一下
用pycharm跑，就看出了问题：

2022-07-12 10:33:02.993081: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2022-07-12 10:33:03.650384: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 3962 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 2060, pci bus id: 0000:01:00.0, compute capability: 7.5
Epoch 1/50
2022-07-12 10:33:05.914469: I tensorflow/stream_executor/cuda/cuda_dnn.cc:384] Loaded cuDNN version 8401Process finished with exit code -1073740791 (0xC0000409)

这里可以看到使用的是GPU来做运算，程序退出了一个负数，但是不知道具体是什么错。
我们把这个Emulate terminal in output console打开

就可以看到详细的报错信息

Could not locate zlibwapi.dll. Please make sure it is in your library path!

所以就按照他说的做
下载链接
之后，将zlibwapi.dll 放到环境变量 path 中（具体：…cuda…\bin）将zlibwapi.lib 放到环境变量 path 中（具体：…cuda…\lib | lib64）
把这两个文件放到对应的cuda文件夹下之后，就可以跑起来了

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