NKUCodingCat opened a new issue #10416: mx.symbol.LeakyRelu could not be 
visualized 
URL: https://github.com/apache/incubator-mxnet/issues/10416
 
 
   Note: Providing complete information in the most concise form is the best 
way to get help. This issue template serves as the checklist for essential 
information to most of the technical issues and bug reports. For non-technical 
issues and feature requests, feel free to present the information in what you 
believe is the best form.
   
   For Q & A and discussion, please start a discussion thread at 
https://discuss.mxnet.io 
   
   ## Description
    
   AS TITLE
   ```
   net = mx.symbol.LeakyReLU(net)
   mx.viz.plot_network(net).view()
   
   ```
   ## Environment info (Required)
   ```
   ----------Python Info----------
   ('Version      :', '2.7.14')
   ('Compiler     :', 'MSC v.1500 32 bit (Intel)')
   ('Build        :', ('v2.7.14:84471935ed', 'Sep 16 2017 20:19:30'))
   ('Arch         :', ('32bit', 'WindowsPE'))
   ------------Pip Info-----------
   ('Version      :', '9.0.1')
   ('Directory    :', 'C:\\Python27\\lib\\site-packages\\pip'Traceback (most 
recent call last):
     File "diag.py", line 168, in <module>
       check_pip()
     File "diag.py", line 96, in check_pip
       print('Directory    :', os.path.dirname(pip.__file__))
   IOError: [Errno 2] No such file or directory
   
   C:\Users\jingtao\Desktop\Chem-CNN\CNN_MXNET>py -2 diag.py
   ----------Python Info----------
   ('Version      :', '2.7.14')
   ('Compiler     :', 'MSC v.1500 32 bit (Intel)')
   ('Build        :', ('v2.7.14:84471935ed', 'Sep 16 2017 20:19:30'))
   ('Arch         :', ('32bit', 'WindowsPE'))
   ------------Pip Info-----------
   ('Version      :', '9.0.1')
   ('Directory    :', 'C:\\Python27\\lib\\site-packages\\pip')
   ----------MXNet Info-----------
   ('Version      :', '1.0.0')
   ('Directory    :', 'C:\\Python27\\lib\\site-packages\\mxnet')
   ('Commit Hash   :', '9ef196909ec7bf9cdda66d5b97c92793109798e1')
   ----------System Info----------
   ('Platform     :', 'Windows-10-10.0.16299')
   ('system       :', 'Windows')
   ('node         :', 'DESKTOP-H37P4P8')
   ('release      :', '10')
   ('version      :', '10.0.16299')
   ----------Hardware Info----------
   ('machine      :', 'AMD64')
   ('processor    :', 'AMD64 Family 23 Model 1 Stepping 1, AuthenticAMD')
   Name
   AMD Ryzen 5 1600X Six-Core Processor
   
   ----------Network Test----------
   Setting timeout: 10
   Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0660 
sec, LOAD: 1.9590 sec.
   Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0220 sec, LOAD: 
0.4010 sec.
   Timing for FashionMNIST: 
https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz,
 DNS: 0.0010 sec, LOAD: 1.1470 sec.
   Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0000 sec, 
LOAD: 0.2360 sec.
   Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.0240 sec, LOAD: 
0.1400 sec.
   Error open Gluon Tutorial(cn): https://zh.gluon.ai, <urlopen error [Errno 
10054] >, DNS finished in 0.000999927520752 sec.
   ```
   ```
   What to do:
   1. Download the diagnosis script from 
https://raw.githubusercontent.com/apache/incubator-mxnet/master/tools/diagnose.py
   2. Run the script using `python diagnose.py` and paste its output here.
   
   ```
   
   Compiler (gcc/clang/mingw/visual studio):
   
   MXNet commit hash:
   Using mxnet in pip 
   
   Build config:
   Using mxnet in pip 
   
   ## Error Message:
   ```
   Traceback (most recent call last):
     File "O_m3.py", line 46, in <module>
       mx.viz.plot_network(x).view()
     File "C:\Python27\lib\site-packages\mxnet\visualization.py", line 305, in 
plot_network
       label = r"%s\n%s" % (op, node["attrs"]["act_type"])
   KeyError: 'attrs'
   ```
   
   ## Minimum reproducible example
   (If you are using your own code, please provide a short script that 
reproduces the error. Otherwise, please provide link to the existing example.)
   
   ## Steps to reproduce
   (Paste the commands you ran that produced the error.)
   
   1.
   2.
   
   ## What have you tried to solve it?
   
   1.
   2.
   

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