带有 TensorFlow GPU 的 Jupyter 内核
Jupyter kernel with TensorFlow GPU
无法将 GPU 识别为我的 Jupyter Notebook 内核的物理设备。
从命令行我有一个环境。像这样设置，看起来不错：
(base) > conda activate tf-gpu
(tf-gpu) > python
>>> import tensorflow as tf
>>> tf.config.list_physical_devices()
[PhysicalDevice(name='/physical_device:CPU:0', device_type='CPU'),
PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]
我在 Jupyter 中将内核更改为“tf-gpu”，但无法识别 GPU：
有什么建议吗？
Jupyter 控制台日志中的错误消息是：
tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could
not load dynamic library 'cudnn64_8.dll'; dlerror: cudnn64_8.dll not
found
tensorflow/core/common_runtime/gpu/gpu_device.cc:1850] Cannot dlopen
some GPU libraries.
Please make sure the missing libraries mentioned above are installed
properly if you would like to use GPU. Follow the guide at
tensorflow.org/install/gpu for how to download and setup the required
libraries for your platform. Skipping registering GPU devices
我最终将 cudnn64_8.dll 从 C:\Program Files\NVIDIA\CUDNN\v8.3\bin 复制到 C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\bin 并重新启动了 Jupyter。
我现在有这个：
感谢指点！
无法将 GPU 识别为我的 Jupyter Notebook 内核的物理设备。
从命令行我有一个环境。像这样设置，看起来不错：
(base) > conda activate tf-gpu
(tf-gpu) > python
>>> import tensorflow as tf
>>> tf.config.list_physical_devices()
[PhysicalDevice(name='/physical_device:CPU:0', device_type='CPU'),
PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]
我在 Jupyter 中将内核更改为“tf-gpu”，但无法识别 GPU：
有什么建议吗？
Jupyter 控制台日志中的错误消息是：
tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudnn64_8.dll'; dlerror: cudnn64_8.dll not found
tensorflow/core/common_runtime/gpu/gpu_device.cc:1850] Cannot dlopen some GPU libraries.
Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at tensorflow.org/install/gpu for how to download and setup the required libraries for your platform. Skipping registering GPU devices
我最终将 cudnn64_8.dll 从 C:\Program Files\NVIDIA\CUDNN\v8.3\bin 复制到 C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\bin 并重新启动了 Jupyter。
我现在有这个：
感谢