Which implementation of InceptionV3 should I be using?

[rahul003]

Hi,

Which implementation of inceptionv3 should I be using to replicate your results?
The 3 I have used did not have the names of the layers model.py is looking for.
I'd really appreciate if you can point us to the code for inception.

Thanks!

[aaossa]

Hey @rahul003 , I'm facing the same issue. Did you find an appropiate model? How did you work with this? Thanks!

PS: @jameswex @Gareth001 @BeenKim any pointers? 😓

[Gareth001]

@aaossa I am using the keras InceptionV3 model, (from keras.applications.inception_v3 import InceptionV3). It took some time, but I got TCAV to recognize my keras model using a custom model wrapper I made. If you are interested in the keras code, I'd be happy to share. Otherwise, I can't really help, as I've little experience in pure tensorflow.

[aaossa]

Actually that would be very useful. Did you have to use custom layer names? (Different from the ones in the provided wrappers) How can you share the code? Thanks!

[BeenKim]

Thank you Gareth for the response! We used internal version of Inception V3 and I didn't realize public version has different bottleneck names. @gareth Booth <g.booth@uq.net.au> - would you mind making a PR? or a fork then a PR if it's a large change?

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[Gareth001]

Sure, I wouldn't mind making a PR for this. However, the code is very specific to keras, and so I think it would belong in it's own notebook, perhaps called Run TCAV keras.ipynb. For now, here's a gist of what I did, and also how you can extend it to other models such as VGG16 in keras. Hopefully it helps.

https://gist.github.com/Gareth001/e600d2fbc09e690c4333388ec5f06587

[rahul003]

The pre trained Inception from here worked for us. Good luck!
https://github.com/tensorflow/models/tree/master/research/slim

[jameswex]

@rahul003 did you have to make code changes (i.e. a new model wrapper) to use the pre-trained inception from https://github.com/tensorflow/models/tree/master/research/slim, or did the inception model wrapper included in this repo work out of the box with that model?

[rehmanzafar]

Hi
I used the InceptionV3 model from the suggested link but it didn't work.

The pre trained Inception from here worked for us. Good luck! https://github.com/tensorflow/models/tree/master/research/slim

The Inception model wrapper throwing the following exceptions:

tensorflow.python.framework.errors_impl.InvalidArgumentError: Requested return tensor 'softmax:0' not found in graph def
tensorflow.python.framework.errors_impl.InvalidArgumentError: Requested return tensor 'softmax/logits:0' not found in graph def

Also, I tried the Wrapper shared by Gareth001 but it didn't work either.

https://gist.github.com/Gareth001/e600d2fbc09e690c4333388ec5f06587

Can you please suggest a solution?

Many thanks

[marisfryer]

The Inception model wrapper throwing the following exceptions:

tensorflow.python.framework.errors_impl.InvalidArgumentError: Requested return tensor 'softmax:0' not found in graph def tensorflow.python.framework.errors_impl.InvalidArgumentError: Requested return tensor 'softmax/logits:0' not found in graph def

I am also running into this same error. Is there a resolution for this? I've tried running the InceptionV3 as my base model from from keras.applications.inception_v3 import InceptionV3 and using transfer learning with a softmax logit as output and I am still getting this exact error.