Multiple Dispatch In __torch_function__ PyTorch Developer podcast

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Multiple dispatch in __torch_function__

3y ago 14:20

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Indhold leveret af PyTorch, Edward Yang, and Team PyTorch. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af PyTorch, Edward Yang, and Team PyTorch eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Python is a single dispatch OO language, but there are some operations such as binary magic methods which implement a simple form of multiple dispatch. torch_function__ (through its Numpy predecessor __array_function) generalizes this mechanism so that invocations of torch.add with different subclasses work properly. This podcast describes how this mechanism works and how it can be used (in an unconventional way) to build composable subclasses ala JAX in functorch.

Further reading:

This podcast in written form https://dev-discuss.pytorch.org/t/functorch-levels-as-dynamically-allocated-classes/294
Multiple dispatch resolution rules in the RFC https://github.com/pytorch/rfcs/blob/master/RFC-0001-torch-function-for-methods.md#process-followed-during-a-functionmethod-call

… continue reading

82 episoder

#Tech #PyTorch #Edward Yang #Team PyTorch #Deep Learning #Machine Learning

Artwork

Multiple dispatch in __torch_function__

PyTorch Developer Podcast

33 subscribers

published 3y ago

Del

MP3•Episode hjem

Indhold leveret af PyTorch, Edward Yang, and Team PyTorch. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af PyTorch, Edward Yang, and Team PyTorch eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Python is a single dispatch OO language, but there are some operations such as binary magic methods which implement a simple form of multiple dispatch. torch_function__ (through its Numpy predecessor __array_function) generalizes this mechanism so that invocations of torch.add with different subclasses work properly. This podcast describes how this mechanism works and how it can be used (in an unconventional way) to build composable subclasses ala JAX in functorch.

Further reading:

This podcast in written form https://dev-discuss.pytorch.org/t/functorch-levels-as-dynamically-allocated-classes/294
Multiple dispatch resolution rules in the RFC https://github.com/pytorch/rfcs/blob/master/RFC-0001-torch-function-for-methods.md#process-followed-during-a-functionmethod-call

… continue reading

82 episoder

#Tech #PyTorch #Edward Yang #Team PyTorch #Deep Learning #Machine Learning

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