[GitHub] roggiezhang-nv commented on issue #8494: Autograd bug in mxnet-cu80: 0.12

2017-11-06 Thread GitBox
roggiezhang-nv commented on issue #8494: Autograd bug in mxnet-cu80: 0.12
URL: 
https://github.com/apache/incubator-mxnet/issues/8494#issuecomment-342100827
 
 
   Interesting. This is solved since 0.12.1. Close this as fixed.


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[GitHub] roggiezhang-nv commented on issue #8494: Autograd bug in mxnet-cu80: 0.12

2017-11-04 Thread GitBox
roggiezhang-nv commented on issue #8494: Autograd bug in mxnet-cu80: 0.12
URL: 
https://github.com/apache/incubator-mxnet/issues/8494#issuecomment-341889588
 
 
   That's what I have done already. It won't work for my code since 0.12. 


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[GitHub] roggiezhang-nv commented on issue #8494: Autograd bug in mxnet-cu80: 0.12

2017-11-03 Thread GitBox
roggiezhang-nv commented on issue #8494: Autograd bug in mxnet-cu80: 0.12
URL: 
https://github.com/apache/incubator-mxnet/issues/8494#issuecomment-341868942
 
 
   I tried and that won't help.


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[GitHub] roggiezhang-nv commented on issue #8494: Autograd bug in mxnet-cu80: 0.12

2017-11-01 Thread GitBox
roggiezhang-nv commented on issue #8494: Autograd bug in mxnet-cu80: 0.12
URL: 
https://github.com/apache/incubator-mxnet/issues/8494#issuecomment-341035769
 
 
   Here is the code that behaves differently between those two builds: 
https://github.com/roggiezhang-nv/mxnet-sample.
   
   You can run the notebook under notebooks/classic_style_transfer.ipynb to 
check that if the style transfer works with the two builds. 


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[GitHub] roggiezhang-nv commented on issue #8494: Autograd bug in mxnet-cu80: 0.12

2017-11-01 Thread GitBox
roggiezhang-nv commented on issue #8494: Autograd bug in mxnet-cu80: 0.12
URL: 
https://github.com/apache/incubator-mxnet/issues/8494#issuecomment-341031819
 
 
   To narrow down the issue, I tried to install several beta versions of 
0.11.1. And finally, I found the changelist breaks my code is between 
mxnet-cu80 0.11.1b20170829 and mxnet-cu80 0.11.1b20170901. Anybody could help 
on this? If you need, I'll list my code for you to check. 
   
   Thanks.


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[GitHub] roggiezhang-nv commented on issue #8494: Autograd bug in mxnet-cu80: 0.12

2017-10-31 Thread GitBox
roggiezhang-nv commented on issue #8494: Autograd bug in mxnet-cu80: 0.12
URL: 
https://github.com/apache/incubator-mxnet/issues/8494#issuecomment-340989454
 
 
   OK. Does that more make sense if it returns with all ones from a user point. 
   
   By the way, this is not the true problem I want to emphasize. I just found 
0.12 behaves a lot differently in autograd as 0.11. I have a piece of code that 
has been broken in 0.12 while it's working in 0.11, here is the snippet of what 
it's doing:
   
   ```
   a is a mx.nd.array
   a.attach_grad()
   loss = 0
   with autograd.record():
   for each target:
 loss = loss + LOSS_FUNCTION(a, target)
   
   loss.backward()
   Update gradient with a.grad
   ```
   In 0.11, this works without any issues. But after switching to 0.12, this is 
broken with a.grad equals to zero. 
   
   So I just want to understand any important changes in 0.12 about autograd. 


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[GitHub] roggiezhang-nv commented on issue #8494: Autograd bug in mxnet-cu80: 0.12

2017-10-31 Thread GitBox
roggiezhang-nv commented on issue #8494: Autograd bug in mxnet-cu80: 0.12
URL: 
https://github.com/apache/incubator-mxnet/issues/8494#issuecomment-340985979
 
 
   The question is version 0.11 will do that computation. 


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[GitHub] roggiezhang-nv commented on issue #8494: Autograd bug in mxnet-cu80: 0.12

2017-10-31 Thread GitBox
roggiezhang-nv commented on issue #8494: Autograd bug in mxnet-cu80: 0.12
URL: 
https://github.com/apache/incubator-mxnet/issues/8494#issuecomment-340985979
 
 
   The question is 0.11 will do that computation. 


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