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Why model storage memory takes a huge amount of space? #100

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haithanhp opened this issue Jul 9, 2019 · 2 comments
Open

Why model storage memory takes a huge amount of space? #100

haithanhp opened this issue Jul 9, 2019 · 2 comments

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@haithanhp
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Hi,

I see your saved models for imageNet are very huge (48.2MB) while in the code they are 4.9MB (#parameters). I also double checked MobileNet v2 only 14.02MB on Pytorch.

Could you explain why your model is very huge? It should be small in memory storage.
@alphadl
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alphadl commented Jul 25, 2019

Personally, 4.9M means the number of 4.9 million learnable parameters rather than storage.

@haithanhp
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Thanks for your information.

Do you know why the models in pytorch are very huge (48.2MB)? I see same scale models (Mobilenet v1, v2) with 4.4M and 3.9M (#parameters) only take little space (14.02MB or 16MB).

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@alphadl @haithanhp