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learn-deeply t1_itikofd wrote

PyTorch doesn't inherently use more or less memory than TensorFlow, there's a bug in your code. If it's easier to switch frameworks than debug, more power to you.

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BITE_AU_CHOCOLAT t1_itiofjz wrote

Well, I haven't "switched" since I've been using Tensorflow since the start of the project. I was just curious to see if Pytorch could allow me to squeeze more juice and after spending a weekend trying to learn assembly Pytorch syntax it turns out that yes, but actually no. So yeah I'm perfectly content with using model.fit and calling it a day for the time being.

Oh and I also forgot: Pytorch won't train with a distributed strategy in a Jupyter environment. KEK.

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