Dear All,
I have tried several CUDA and cuDNN versions for setting up my GPU without luck. Finally, I have used
cuda_11.0.3_451.82_win10 and
cudnn-11.0-windows-x64-v8.0.5.39
in Anaconda (Python 3.8.12). I see there are few positive results and errors as I started jupyter notebook (please see below).
I tried to delete EVERYTHING from previous CUDA & cuDNN installations; I wonder if I had missed something!?
Could you please look into the following error messages and give me some suggestoins, please?
I am using Anaconda 3 in a Windows 10 laptop (Lenovo legion 7 slim with NVIDIA GeForce GTX 1660 Ti with Max-Q Design ).
TIA
Sheri
(ML) C:\Users\endro>jupyter notebook
[I 17:37:34.192 NotebookApp] Serving notebooks from local directory: C:\Users\endro
[I 17:37:34.192 NotebookApp] Jupyter Notebook 6.4.5 is running at:
[I 17:37:34.192 NotebookApp] http://localhost:8888/?token=fa49d4b6844860763ae5a452793a28cfb2d2f4c65de1f71f
[I 17:37:34.192 NotebookApp] or http://127.0.0.1:8888/?token=fa49d4b6844860763ae5a452793a28cfb2d2f4c65de1f71f
[I 17:37:34.193 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 17:37:34.228 NotebookApp]
To access the notebook, open this file in a browser:
file:///C:/Users/endro/AppData/Roaming/jupyter/runtime/nbserver-3920-open.html
Or copy and paste one of these URLs:
http://localhost:8888/?token=fa49d4b6844860763ae5a452793a28cfb2d2f4c65de1f71f
or http://127.0.0.1:8888/?token=fa49d4b6844860763ae5a452793a28cfb2d2f4c65de1f71f
ERROR:asyncio:Exception in callback <TaskWakeupMethWrapper object at 0x00000151DB25CD30>(<Future finis...95f"\r\n\r\n'>)
handle: <Handle <TaskWakeupMethWrapper object at 0x00000151DB25CD30>(<Future finis...95f"\r\n\r\n'>)>
Traceback (most recent call last):
File "c:\users\endro\anaconda3\envs\ml\lib\asyncio\events.py", line 81, in _run
self._context.run(self._callback, *self._args)
RuntimeError: Cannot enter into task <Task pending name='Task-9' coro=<HTTP1ServerConnection._server_request_loop() running at c:\users\endro\anaconda3\envs\ml\lib\site-packages\tornado\http1connection.py:823> wait_for=<Future finished result=b'GET /api/co...c95f"\r\n\r\n'> cb=[IOLoop.add_future.<locals>.<lambda>() at c:\users\endro\anaconda3\envs\ml\lib\site-packages\tornado\ioloop.py:688]> while another task <Task pending name='Task-2' coro=<KernelManager._async_start_kernel() running at c:\users\endro\anaconda3\envs\ml\lib\site-packages\jupyter_client\manager.py:336>> is being executed.
ERROR:asyncio:Exception in callback <TaskWakeupMethWrapper object at 0x00000151DB50F850>(<Future finis...95f"\r\n\r\n'>)
handle: <Handle <TaskWakeupMethWrapper object at 0x00000151DB50F850>(<Future finis...95f"\r\n\r\n'>)>
Traceback (most recent call last):
File "c:\users\endro\anaconda3\envs\ml\lib\asyncio\events.py", line 81, in _run
self._context.run(self._callback, *self._args)
RuntimeError: Cannot enter into task <Task pending name='Task-2' coro=<HTTP1ServerConnection._server_request_loop() running at c:\users\endro\anaconda3\envs\ml\lib\site-packages\tornado\http1connection.py:823> wait_for=<Future finished result=b'GET /kernel...c95f"\r\n\r\n'> cb=[IOLoop.add_future.<locals>.<lambda>() at c:\users\endro\anaconda3\envs\ml\lib\site-packages\tornado\ioloop.py:688]> while another task <Task pending name='Task-2' coro=<KernelManager._async_start_kernel() running at c:\users\endro\anaconda3\envs\ml\lib\site-packages\jupyter_client\manager.py:337>> is being executed.
[I 17:37:55.107 NotebookApp] Kernel started: 20167ff4-60fc-4051-8750-96891afc39cb, name: python3
2021-11-07 17:37:59.484871: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudart64_110.dll
2021-11-07 17:38:03.916694: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library nvcuda.dll
2021-11-07 17:38:05.335770: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: NVIDIA GeForce GTX 1660 Ti with Max-Q Design computeCapability: 7.5
coreClock: 1.335GHz coreCount: 24 deviceMemorySize: 6.00GiB deviceMemoryBandwidth: 268.26GiB/s
2021-11-07 17:38:05.336062: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudart64_110.dll
2021-11-07 17:38:05.382223: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cublas64_11.dll
2021-11-07 17:38:05.382304: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cublasLt64_11.dll
2021-11-07 17:38:05.406504: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cufft64_10.dll
2021-11-07 17:38:05.413069: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library curand64_10.dll
2021-11-07 17:38:05.413671: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cusolver64_11.dll'; dlerror: cusolver64_11.dll not found
2021-11-07 17:38:05.428741: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cusparse64_11.dll
2021-11-07 17:38:05.429313: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudnn64_8.dll'; dlerror: cudnn64_8.dll not found
2021-11-07 17:38:05.429364: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1766] 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 https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
[I 17:39:54.571 NotebookApp] Saving file at /Documents/Untitled.ipynb