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Question about the running speed of Pyflann and Faiss for the SAM model #40

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zoharli opened this issue Feb 24, 2019 · 3 comments
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@zoharli
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zoharli commented Feb 24, 2019

I can't normally install Faiss environment because of certain force majeure, so I wonder how using Faiss-gpu or Pyflann will influence the actual training speed of the SAM model.
Let's say for example, in the copy task, how are the actual epoch times when using these two methods? Can you give me a rough reference?

@zoharli zoharli changed the title Question about the running speed of Pyflann and Faiss for sam model Question about the running speed of Pyflann and Faiss for the SAM model Feb 24, 2019
@ixaxaar
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ixaxaar commented Feb 24, 2019

Oh it was significant enough that I had to literally shove FAISS in this project.

I mean the first version I had implemented was using flann, but FAISS was just way faster. In fact I ended up keeping flann just in case (as some kind of a fallback).

@zoharli
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zoharli commented Feb 24, 2019

Ok, I get it now, thanks!

@ixaxaar
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ixaxaar commented Feb 25, 2019

Cool! Closing this issue then 😬

@ixaxaar ixaxaar closed this as completed Feb 25, 2019
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