[chillee]

Well, you could read the article :^)

As a summary, though:

PyTorch has become dominant in research because of its API (both its stability + having eager mode).

TF has become dominant in industry because A. it came out several years before PyTorch and industry is slow to move, B. It supported a lot of production use cases (mobile, serving, removing Python overhead) that PyTorch didn't for a long time.

[qwerty456127]

If only articles were as concise as your summary is I would enjoy reading them but as long as they are many pages long I have no time to read beyond the titles, abstracts, conclusions and comments.

BTW I've also read (here on HN) PyTorch learns much faster than TensorFlow does.

[tecleandor]

Then it wouldn't be an article, it would be a summary :)

[enriquto]

well, for one pytorch added the python overhead over an otherwise very clean lua jit

[mruts]

PyTorch wraps THNN, not Torch. Moreover, even if this was true, it wouldn't matter at all. Practically 0% of the overhead is related to Python in the first place, all of the time is dominated by the underlying C implementation.