CNTK Jupyter笔记本核心不工作

Question

我想让Jupyter笔记本与我的Azure数据科学VM和内核不工作。我使用shellbash安装CNTK，它可以像命令那样运行。然而，当我拉起来使用蟒蛇或命令：“jupyter笔记本”我得到这个错误：

Traceback (most recent call last): 
File "C:\local\Anaconda3-4.1.1-Windows-x86_64\envs\cntk-py35\lib\site-    packages\notebook\base\handlers.py", line 503, in wrapper 
result = yield gen.maybe_future(method(self, *args, **kwargs)) 
File "C:\local\Anaconda3-4.1.1-Windows-x86_64\envs\cntk-py35\lib\site- packages\tornado\gen.py", line 1015, in run 
value = future.result() 
File "C:\local\Anaconda3-4.1.1-Windows-x86_64\envs\cntk-py35\lib\site-packages\tornado\concurrent.py", line 237, in result 
raise_exc_info(self._exc_info) 
File "<string>", line 3, in raise_exc_info 
File "C:\local\Anaconda3-4.1.1-Windows-x86_64\envs\cntk-py35\lib\site-packages\tornado\gen.py", line 1021, in run 
yielded = self.gen.throw(*exc_info) 
File "C:\local\Anaconda3-4.1.1-Windows-x86_64\envs\cntk-py35\lib\site-packages\notebook\services\sessions\handlers.py", line 75, in post 
type=mtype)) 
File "C:\local\Anaconda3-4.1.1-Windows-x86_64\envs\cntk-py35\lib\site-packages\tornado\gen.py", line 1015, in run 
value = future.result() 
File "C:\local\Anaconda3-4.1.1-Windows-x86_64\envs\cntk-py35\lib\site-packages\tornado\concurrent.py", line 237, in result 
raise_exc_info(self._exc_info) 
File "<string>", line 3, in raise_exc_info 
File "C:\local\Anaconda3-4.1.1-Windows-x86_64\envs\cntk-py35\lib\site-packages\tornado\gen.py", line 1021, in run 
yielded = self.gen.throw(*exc_info) 
File "C:\local\Anaconda3-4.1.1-Windows-x86_64\envs\cntk-py35\lib\site-packages\notebook\services\sessions\sessionmanager.py", line 79, in create_session 
kernel_id = yield self.start_kernel_for_session(session_id, path, name, type, kernel_name) 
File "C:\local\Anaconda3-4.1.1-Windows-x86_64\envs\cntk-py35\lib\site-packages\tornado\gen.py", line 1015, in run 
value = future.result() 
File "C:\local\Anaconda3-4.1.1-Windows-x86_64\envs\cntk-py35\lib\site-packages\tornado\concurrent.py", line 237, in result 
raise_exc_info(self._exc_info) 
File "<string>", line 3, in raise_exc_info 
File "C:\local\Anaconda3-4.1.1-Windows-x86_64\envs\cntk-py35\lib\site-packages\tornado\gen.py", line 1021, in run 
yielded = self.gen.throw(*exc_info) 
File "C:\local\Anaconda3-4.1.1-Windows-x86_64\envs\cntk-py35\lib\site-packages\notebook\services\sessions\sessionmanager.py", line 92, in start_kernel_for_session 
self.kernel_manager.start_kernel(path=kernel_path, kernel_name=kernel_name) 
File "C:\local\Anaconda3-4.1.1-Windows-x86_64\envs\cntk-py35\lib\site-packages\tornado\gen.py", line 1015, in run 
value = future.result() 
File "C:\local\Anaconda3-4.1.1-Windows-x86_64\envs\cntk-py35\lib\site-packages\tornado\concurrent.py", line 237, in result 
raise_exc_info(self._exc_info) 
File "<string>", line 3, in raise_exc_info 
File "C:\local\Anaconda3-4.1.1-Windows-x86_64\envs\cntk-py35\lib\site-packages\tornado\gen.py", line 285, in wrapper 
yielded = next(result) 
File "C:\local\Anaconda3-4.1.1-Windows-x86_64\envs\cntk-py35\lib\site-packages\notebook\services\kernels\kernelmanager.py", line 87, in start_kernel 
super(MappingKernelManager, self).start_kernel(**kwargs) 
File "C:\local\Anaconda3-4.1.1-Windows-x86_64\envs\cntk-py35\lib\site-packages\jupyter_client\multikernelmanager.py", line 110, in start_kernel 
km.start_kernel(**kwargs) 
File "C:\local\Anaconda3-4.1.1-Windows-x86_64\envs\cntk-py35\lib\site-packages\jupyter_client\manager.py", line 243, in start_kernel 
**kw) 
File "C:\local\Anaconda3-4.1.1-Windows-x86_64\envs\cntk-py35\lib\site-packages\jupyter_client\manager.py", line 189, in _launch_kernel 
return launch_kernel(kernel_cmd, **kw) 
File "C:\local\Anaconda3-4.1.1-Windows-x86_64\envs\cntk-py35\lib\site-packages\jupyter_client\launcher.py", line 123, in launch_kernel 
proc = Popen(cmd, **kwargs) 
File "C:\local\Anaconda3-4.1.1-Windows-x86_64\envs\cntk-py35\lib\subprocess.py", line 947, in __init__ 
restore_signals, start_new_session) 
File "C:\local\Anaconda3-4.1.1-Windows-x86_64\envs\cntk-py35\lib\subprocess.py", line 1224, in _execute_child 
startupinfo) 
FileNotFoundError: [WinError 2] The system cannot find the file specified 

如何让蟒蛇内核的笔记本CNTK工作有什么建议？

Answer 1

需要更多的信息给你有意义的建议，因为我无法从屏幕转储中看到它。

• 您能够激活CNTK-py35环境
• 如果你能够激活环境，请你从激活的环境
• 内开始蟒蛇内核如果你是成功的，从内蟒蛇壳你能够运行import CNTK
• 如果这样的作品，这意味着你的CNTK安装是好的。

现在你可以去命令提示符，从激活环境内，你可以尝试启动jupyter笔记本电脑环境。

你会发现在这个环节沿着这些线路的蟒蛇设置的更多信息，：https://github.com/Microsoft/CNTK/wiki/Setup-Windows-Python

Answer 2

我打开了终端到CNTK-py35目录，进入下面的代码和内核开始工作得到它的工作：

conda create -n py35 python=3.5 
activate py35 
conda install notebook ipykernel 
ipython kernel install --user --name=python3.5 

然后我打开笔记本jupyter从内部蟒蛇跑

import CNTK