lisa-lab/DeepLearningTutorials

"Duplicate name" warning while dumping a SdA

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There will be User Warning: Duplicate name W and User Warning: Duplicate name b while I dumping my SdA model using theano.misc.pkl_utils.dump. And I found that a SdA model cannot be loaded correctly because of the duplicate name of variables W and b.

So is it necessary to use different name for each theano tensor W and b in model classes? In fact, that's the way I solve the problem mentioned above.

The name is just for the user, so normally, having duplicate name isn't a problem. Can you give me the full stack trace? I'm not able to find it in Theano.

This is the warning.

qq20150629-3 2x

And I found that theano can't restore SdA model correctly, it will mix up the W and b parameters between the Hidden Layer and Softmax Layer

Update Theano to the development version.. I think it is now fixed.

On Mon, Jun 29, 2015 at 11:25 AM, 王昌旭 notifications@github.com wrote:

This is the warning.

[image: qq20150629-3 2x]
https://cloud.githubusercontent.com/assets/4102875/8411344/1bdf4dd8-1eb6-11e5-9f94-4253da62b720.jpg

And I found that theano can't restore SdA model correctly, it will mix up
the W and b parameters between the Hidden Layer and Softmax Layer


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#95 (comment)
.

OK,thanks.

在 2015年6月29日,23:41,Frédéric Bastien notifications@github.com 写道:

Update Theano to the development version.. I think it is now fixed.

On Mon, Jun 29, 2015 at 11:25 AM, 王昌旭 notifications@github.com wrote:

This is the warning.

[image: qq20150629-3 2x]
https://cloud.githubusercontent.com/assets/4102875/8411344/1bdf4dd8-1eb6-11e5-9f94-4253da62b720.jpg

And I found that theano can't restore SdA model correctly, it will mix up
the W and b parameters between the Hidden Layer and Softmax Layer


Reply to this email directly or view it on GitHub
#95 (comment)
.


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BTW, how to upgrade Theano to the development version via pip?

Thanks you.

Frédéric Bastien wrote:

see this page:
http://www.deeplearning.net/software/theano/install.html#bleeding-edge-install-instructions


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#95 (comment).