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[Plugin] TypeTransformers for Numpy array, PyTorch and TensorFlow tensors #2544

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samhita-alla opened this issue May 25, 2022 · 4 comments
Closed
5 of 6 tasks

[Plugin] TypeTransformers for Numpy array, PyTorch and TensorFlow tensors #2544

samhita-alla opened this issue May 25, 2022 · 4 comments
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@samhita-alla
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samhita-alla commented May 25, 2022 •
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Since a majority of Flyte users work on ML, it'd be helpful to have Numpy arrays, PyTorch and Tensorflow tensors as Flyte types.

Related Slack conversation:

I am looking for a way to pass Numpy Arrays (ndarray) and PyTorch/Tensorflow Tensors as Flyte Task input/output. I haven’t come across any example yet. I’m aware of the native support for Dataframes. It seems inefficient to convert ndarray/Tensors back and forth using Dataframes.
How are folks handling this?

https://flyte-org.slack.com/archives/CNMKCU6FR/p1653071185574619

TODO
@samhita-alla samhita-alla self-assigned this May 25, 2022
@badarahmed
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Thanks for opening the issue!

@sbrunk
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sbrunk commented May 25, 2022

Numpy has a relatively stable representation for serialization on disk: https://github.com/numpy/numpy/blob/main/doc/neps/nep-0001-npy-format.rst

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samhita-alla commented May 26, 2022 •
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Numpy has a relatively stable representation for serialization on disk: https://github.com/numpy/numpy/blob/main/doc/neps/nep-0001-npy-format.rst

Looks promising!

@samhita-alla samhita-alla added the plugins Plugins related labels (backend or frontend) label May 26, 2022
This was referenced May 27, 2022
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@cosmicBboy
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fixed by #1032

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