Inductor - Define-by-run IR PyTorch Developer podcast

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Tech PyTorch Edward Yang Team PyTorch Deep Learning Machine Learning

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.

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Inductor - Define-by-run IR

5M ago 12:06

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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.

Define-by-run IR is how Inductor defines the internal compute of a pointwise/reduction operation. It is characterized by a function that calls a number of functions in the 'ops' namespace, where these ops can be overridden by different handlers depending on what kind of semantic analysis you need to do. The ops Inductor supports include regular arithmetic operators, but also memory load/store, indirect indexing, masking and collective operations like reductions.

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82 episoder

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

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Inductor - Define-by-run IR

PyTorch Developer Podcast

33 subscribers

published 5M 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.

Define-by-run IR is how Inductor defines the internal compute of a pointwise/reduction operation. It is characterized by a function that calls a number of functions in the 'ops' namespace, where these ops can be overridden by different handlers depending on what kind of semantic analysis you need to do. The ops Inductor supports include regular arithmetic operators, but also memory load/store, indirect indexing, masking and collective operations like reductions.

… continue reading

82 episoder

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

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