Functionalization

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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לפני 4 שנים 14:05

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Functionalization is the process by which we remove mutation from autograd graphs in PyTorch, leaving us with a purely functional graph that we can execute in the normal way. Why do we need to do functionalization? What makes it not so easy to do? How do we do it? And how does it compare to mutation removal that you might see in a compiler?

Further reading:

Section 3.1 of this paper on PyTorch AD https://openreview.net/pdf/25b8eee6c373d48b84e5e9c6e10e7cbbbce4ac73.pdf predates our implementation of inplace autograd but accurately reports the subtleties and correctly predicts the implementation strategy we ended up taking
RFC to generalize the functionalization mechanism to be available to arbitrary backends https://github.com/pytorch/rfcs/pull/19
Code that handles lazily updating views when the base is updated https://github.com/pytorch/pytorch/blob/e5e095cbe4dbc5a601f98e6134dcbd59c6342d7d/torch/csrc/autograd/variable.cpp#L556-L603

83 פרקים

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

Functionalization

PyTorch Developer Podcast

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published לפני 4 שנים

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MP3•בית הפרקים

Further reading:

Section 3.1 of this paper on PyTorch AD https://openreview.net/pdf/25b8eee6c373d48b84e5e9c6e10e7cbbbce4ac73.pdf predates our implementation of inplace autograd but accurately reports the subtleties and correctly predicts the implementation strategy we ended up taking
RFC to generalize the functionalization mechanism to be available to arbitrary backends https://github.com/pytorch/rfcs/pull/19
Code that handles lazily updating views when the base is updated https://github.com/pytorch/pytorch/blob/e5e095cbe4dbc5a601f98e6134dcbd59c6342d7d/torch/csrc/autograd/variable.cpp#L556-L603

83 פרקים

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

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