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Thank you so much for making this library!

I was trying to run baselines using this library's "conv_encoder" architecture for the VAE and noticed that that architecture (including in the publicly available models at, for example, https://storage.googleapis.com/disentanglement_lib/unsupervised_study_v1/0.zip) don't seem to match the architecture described in https://arxiv.org/pdf/1811.12359.pdf in Table 2 of the appendix.

In particular, it looks like the last two Conv2D embedding layers have a kernel of 2x2 instead of 4x4.

I have no idea if it makes any important difference, but my intuition is telling me that 4x4 might make more sense (as shown in the attached pull request), so will probably make that change on my end. I just wanted to reach out and see if you would possibly have time to check my thought process there.

Thanks so much!

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google-cla bot commented May 16, 2021

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@travers-rhodes
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@googlebot I signed it!

@google-cla google-cla bot added cla: yes and removed cla: no labels May 16, 2021
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