Paper-Code | ♨️ Code on paper is not on paper

by linw7 C++ Version: Current License: No License

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Paper-Code is a C++ library. Paper-Code has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

♨️ Code on paper is not on paper

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InceptionResnetV2 STEM block keras implementation mismatch the one in the original paper?

Error: package ‘StanHeaders’ 2.18.1 was found, but > 2.18.1 is required by ‘rstan’

QUESTION

InceptionResnetV2 STEM block keras implementation mismatch the one in the original paper?

Asked 2020-Oct-27 at 08:00

I've been trying to compare the InceptionResnetV2 model summary from Keras implementation with the one specified in their paper, and it doesn't seem to show much resemblance when it comes to the filter_concat block.

The first lines of the model summary() are as shown below. (for my case, the input is changed to 512x512, but up to my knowledge, it doesn't affect the number of filters per layer, so we can also use them to follow up the paper-code translation):

...

ANSWER

Answered 2020-Oct-27 at 08:00

It achieves similar results.

I just received an e-mail confirming the error from Alex Alemi, Senior Research Scientist at Google and original publisher of the blog post regarding the release of the code for InceptionResnetV2. It seems that during internal experiments, the STEM blocks were switched and the release just kept like that.

Cite:

Dani Azemar,

It seems you're right. Not entirely sure what happened but the code is obviously the source of truth in the sense that the released checkpoint is for the code that is also released. When we were developing the architecture we did a whole slew of internal experiments and I imagine at some point the stems were switched. Not sure I have the time to dig deeper at the moment, but like I said, the released checkpoint is a checkpoint for the released code as you can verify yourself by running the evaluation pipeline. I agree with you that it seems like this is using the original Inception V1 stem. Best Regards,

Alex Alemi

I'll update this post with changes regarding this subject.

UPDATE: Christian Szegedy, also publisher of the original paper, just tweeted me:

The original experiments and model was created in DistBelief, a completely different framework pre-dating Tensorflow.

The TF version was added a year later and might have had discrepancies from the original model, however it was made sure to achieve similar results.

So, since it achieves similar results, your experiments would be roughly the same.

Source https://stackoverflow.com/questions/64488034

QUESTION

Error: package ‘StanHeaders’ 2.18.1 was found, but > 2.18.1 is required by ‘rstan’

Asked 2019-Oct-06 at 12:24

I am writing an R package that depends on Stan and Rstan. I run the installation on an Azure machine Standard_D64_v3 and install r-base and r-cran-stan with sudo apt-get and rstan and Rcpp with R's install.packages()(among others, see shell setup script and R setup script).

This process worked OK last month. Today I was able to install the package (as evidenced by the welcome message) and then have a runtime error from incompatible versions.

...

ANSWER

Answered 2019-Oct-06 at 12:24

As @nicola wrote in the comments, the fix is to reinstall StanHeaders with:

Source https://stackoverflow.com/questions/57820765

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