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> TensorFlow feels like it was built from the ground up to scale up to billions of users and all kinds of devices, with developer productivity and happiness a secondary priority. PyTorch feels like it was built the other way around, prioritizing developer productivity and happiness; other considerations were secondary.

I recently moved from Google to Facebook and this is how I'd characterize most of the differences I see: Facebook optimizes for your ability to make progress above everything else. Google, not so much.




Seems to hold up for most google stuff I tried. E.g. kubernetes and angular.




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