【发布时间】：2020-07-20 08:13:12
【问题描述】：
我正在尝试使用 PyCharm 和 jupyter shell 的 tensorflow1.10 代码。
当我在运行一些代码后重新启动内核时，我遇到了这样的错误。
WARNING:root:kernel 7ee39326-4723-4562-a82e-d651dc4710d7 restarted
Traceback (most recent call last):
File "/home/jho/anaconda3/envs/mask/lib/python3.6/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/home/jho/anaconda3/envs/mask/lib/python3.6/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/jho/anaconda3/envs/mask/lib/python3.6/site-packages/ipykernel_launcher.py", line 16, in <module>
app.launch_new_instance()
File "/home/jho/anaconda3/envs/mask/lib/python3.6/site-packages/traitlets/config/application.py", line 663, in launch_instance
app.initialize(argv)
File "<decorator-gen-124>", line 2, in initialize
File "/home/jho/anaconda3/envs/mask/lib/python3.6/site-packages/traitlets/config/application.py", line 87, in catch_config_error
return method(app, *args, **kwargs)
File "/home/jho/anaconda3/envs/mask/lib/python3.6/site-packages/ipykernel/kernelapp.py", line 547, in initialize
self.init_sockets()
File "/home/jho/anaconda3/envs/mask/lib/python3.6/site-packages/ipykernel/kernelapp.py", line 266, in init_sockets
self.shell_port = self._bind_socket(self.shell_socket, self.shell_port)
File "/home/jho/anaconda3/envs/mask/lib/python3.6/site-packages/ipykernel/kernelapp.py", line 213, in _bind_socket
return self._try_bind_socket(s, port)
File "/home/jho/anaconda3/envs/mask/lib/python3.6/site-packages/ipykernel/kernelapp.py", line 189, in _try_bind_socket
s.bind("tcp://%s:%i" % (self.ip, port))
File "zmq/backend/cython/socket.pyx", line 550, in zmq.backend.cython.socket.Socket.bind
File "zmq/backend/cython/checkrc.pxd", line 25, in zmq.backend.cython.checkrc._check_rc
zmq.error.ZMQError: Address already in use
[W 09:57:18.673 NotebookApp] KernelRestarter: restart failed
[W 09:57:18.674 NotebookApp] Kernel 7ee39326-4723-4562-a82e-d651dc4710d7 died, removing from map.
ERROR:root:kernel 7ee39326-4723-4562-a82e-d651dc4710d7 restarted failed!
我认为这是由于 ImageZMQ 没有重新启动造成的。 所以我想运行另一个代码，但是我的 GPU 内存没有被释放。
这是我的 nvidia-smi。
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.64.00 Driver Version: 440.64.00 CUDA Version: 10.2 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce RTX 2070 On | 00000000:01:00.0 On | N/A |
| 30% 34C P2 33W / 225W | 7953MiB / 7979MiB | 7% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1169 G /usr/lib/xorg/Xorg 18MiB |
| 0 1208 G /usr/bin/gnome-shell 50MiB |
| 0 1537 G /usr/lib/xorg/Xorg 91MiB |
| 0 1670 G /usr/bin/gnome-shell 45MiB |
| 0 1994 G gnome-control-center 2MiB |
| 0 2570 G ...p/pycharm-professional/192/jbr/bin/java 70MiB |
+-----------------------------------------------------------------------------+
Python 进程被杀死，但全局内存没有被释放。
有办法释放吗？
【问题讨论】：
标签： tensorflow cuda gpu jupyter nvidia