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[rework] rework the baseline code, tensorflow 1.x to pytorch #16

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kozistr opened this issue Jan 2, 2020 · 4 comments
Open

[rework] rework the baseline code, tensorflow 1.x to pytorch #16

kozistr opened this issue Jan 2, 2020 · 4 comments
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@kozistr
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kozistr commented Jan 2, 2020

Currently, all of the codes are based on tensorflow 1.x, which is legacy.

so, rework all codes to pytorch code, instead of tensorflow 2.x

@kozistr kozistr self-assigned this Jan 2, 2020
@DonaldTsang
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I would actually recommend Tensorflow 2 as it is the most popular, and that it has a distributed network training model that may be useful in some way.

@DonaldTsang
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DonaldTsang commented Jan 15, 2020

Just checked the popularity of Tensorflow 2 over PyTorch, and they are on par with one another...
Are there any Keras-like libraries that support both TF and PyTorch?
(I guess the game is on between Google's TF and Facebook's PyTorch)

@kozistr
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kozistr commented Jan 19, 2020

Just checked the popularity of Tensorflow 2 over PyTorch, and they are on par with one another...
Are there any Keras-like libraries that support both TF and PyTorch?
(I guess the game is on between Google's TF and Facebook's PyTorch)

maybe, there's no library that supports both of them as i know.

I also think TF2 is popular than pytorch 1.x.
But, in the aspect of developing the GANs, i also think pure keras framework is not suitable and tricky to implement for controlling the low-level stuffs than pytorch. So, now i'm considering between them : ).

@DonaldTsang
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So I would make that claim that whatever is more popular and easier to implement the underlying features should be used, that would be Tensorflow in this case.

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