[GitHub] ashokei opened a new issue #14301: SoftmaxOutput crashes with normalization "valid"

[GitBox <gi...@apache.org>]

ashokei opened a new issue #14301: SoftmaxOutput crashes with normalization "valid"
URL: https://github.com/apache/incubator-mxnet/issues/14301
 
 
   
   ## Description
   
   ## Environment info (Required)
   ubuntu 16.04 default build
   and, run below script.
   
   ```
   import numpy as np                                                
   import mxnet as mx                                                
   xpu = mx.cpu()                                                    
   x = mx.sym.Variable('x')                                          
   label = mx.sym.Variable('label')                                  
   x_nd = mx.nd.array([[1, 6, 4, 2],[1, 6, 4, 2]], ctx=xpu)          
   grad_x = mx.nd.zeros((2,4), ctx=xpu)                              
   label_nd = mx.nd.array([1,1], ctx=xpu)                            
                                                                     
   sym = mx.sym.SoftmaxOutput(data=x, label=label, ignore_label=0,   
                              use_ignore=True, normalization="valid")
   ex = sym.bind(ctx=xpu, args={'x': x_nd, 'label': label_nd},       
                 args_grad={'x': grad_x})                            
                                                                     
   ex.forward(is_train=True)                                         
   softmax_out = ex.outputs[0].asnumpy()                             
   ex.backward(is_train=True)                                        
   
   ```
   
   MXNet commit hash:
   fb4f9d55382538fe688638b741830d84ae0d783
   
   Build config:
   make
   
   ## Error Message:
   ```
   terminated by signal SIGSEGV (Address boundary error)
   ```
   
   

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