Min-cut Partitioner PyTorch Developer podcast

Artwork

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.

PyTorch Developer Podcast « »
Min-cut partitioner

3M ago 15:56

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.

The min-cut partitioner makes decisions about what to save for backwards when splitting the forward and backwards graph from the joint graph traced by AOTAutograd. Crucially, it doesn't actually do a "split"; instead, it is deciding how much of the joint graph should be used for backwards. I also talk about the backward retracing problem.

… continue reading

82 episoder

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

Artwork

Min-cut partitioner

PyTorch Developer Podcast

33 subscribers

published 3M 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.

The min-cut partitioner makes decisions about what to save for backwards when splitting the forward and backwards graph from the joint graph traced by AOTAutograd. Crucially, it doesn't actually do a "split"; instead, it is deciding how much of the joint graph should be used for backwards. I also talk about the backward retracing problem.

… continue reading

82 episoder

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

Alle episoder

×

Velkommen til Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

Lyt til 500+ emner