2020-11-17T09:15:32Z

What needs improvement with PyTorch?

Julia Miller - PeerSpot reviewer
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PeerSpot user
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4 Answers

Arucy Lionel - PeerSpot reviewer
Real User
Top 5Leaderboard
2023-11-20T11:30:05Z
Nov 20, 2023

On the production side of things, having more production tooling frameworks would be helpful. TensorFlow has a lot of elaborate frameworks e.g. for serving models, and that's one area where PyTorch could improve.

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Swayan Jeet Mishra - PeerSpot reviewer
Real User
Top 5Leaderboard
2022-10-31T16:31:43Z
Oct 31, 2022

The training of the models could be faster. However, with PyTorch, modern training becomes a bit slower because it is within the models at Python.

JG
Real User
2021-04-12T18:02:24Z
Apr 12, 2021

None come to mind.

KK
Real User
2020-11-17T09:15:32Z
Nov 17, 2020

There is not enough documentation about some methods and parameters. It is sometimes difficult to find information.

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