小编Pav*_*nko的帖子

我根据官方安装页面安装了支持 GPU 的 TensorFlow ，并且可以从终端识别 GPU，但不能从具有相同 Conda 环境的 Jupyter 内核的 Jupyter 笔记本识别 GPU tensor_gpu（请参见下面的屏幕截图）。Jupyter Lab 3.6.3 (Windows 10) 从单独的 Conda 环境安装和运行jupyter。

我还在 Jupyter Lab 控制台中看到以下警告：

2023-04-25 16:34:44.493879: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2023-04-25 16:34:44.494185: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2023-04-25 16:34:47.012660: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2023-04-25 16:34:47.014859: …