Anatomy of a domain library

PyTorch Developer Podcast

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תוכן מסופק על ידי PyTorch, Edward Yang, and Team PyTorch. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי PyTorch, Edward Yang, and Team PyTorch או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

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What's a domain library? Why do they exist? What do they do for you? What should you know about developing in PyTorch main library versus in a domain library? How coupled are they with PyTorch as a whole? What's cool about working on domain libraries?

Further reading.

The classic trio of domain libraries is https://pytorch.org/audio/stable/index.html https://pytorch.org/text/stable/index.html and https://pytorch.org/vision/stable/index.html

Line notes.

why do domain libraries exist? lots of domains specific gadgets,
inappropriate for PyTorch
what does a domain library do
- operator implementations (old days: pure python, not anymore)
  - with autograd support and cuda acceleration
  - esp encoding/decoding, e.g., for domain file formats
    - torchbind for custom objects
    - takes care of getting the dependencies for you
  - esp transformations, e.g., for data augmentation
- models, esp pretrained weights
- datasets
- reference scripts
- full wheel/conda packaging like pytorch
- mobile compatibility
separate repos: external contributors with direct access
- manual sync to fbcode; a lot easier to land code! less
  motion so lower risk
coupling with pytorch? CI typically runs on nightlies
- pytorch itself tests against torchvision, canary against
  extensibility mechanisms
- mostly not using internal tools (e.g., TensorIterator),
  too unstable (this would be good to fix)
closer to research side of pytorch; francesco also part of papers

83 פרקים

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

PyTorch Developer Podcast

Anatomy of a domain library

PyTorch Developer Podcast

32 subscribers

published לפני 4 שנים

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MP3•בית הפרקים

Further reading.

The classic trio of domain libraries is https://pytorch.org/audio/stable/index.html https://pytorch.org/text/stable/index.html and https://pytorch.org/vision/stable/index.html

Line notes.

why do domain libraries exist? lots of domains specific gadgets,
inappropriate for PyTorch
what does a domain library do
- operator implementations (old days: pure python, not anymore)
  - with autograd support and cuda acceleration
  - esp encoding/decoding, e.g., for domain file formats
    - torchbind for custom objects
    - takes care of getting the dependencies for you
  - esp transformations, e.g., for data augmentation
- models, esp pretrained weights
- datasets
- reference scripts
- full wheel/conda packaging like pytorch
- mobile compatibility
separate repos: external contributors with direct access
- manual sync to fbcode; a lot easier to land code! less
  motion so lower risk
coupling with pytorch? CI typically runs on nightlies
- pytorch itself tests against torchvision, canary against
  extensibility mechanisms
- mostly not using internal tools (e.g., TensorIterator),
  too unstable (this would be good to fix)
closer to research side of pytorch; francesco also part of papers

83 פרקים

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

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