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Why does the Bottleneck module have an expansion factor(e) of 1.0? #2244

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JM-Kim-94 opened this issue Feb 19, 2021 · 4 comments
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Why does the Bottleneck module have an expansion factor(e) of 1.0? #2244

JM-Kim-94 opened this issue Feb 19, 2021 · 4 comments
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question Further information is requested Stale Stale and schedule for closing soon

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@JM-Kim-94
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In the C3 Module it has Bottleneck sub module whose expansion factor is 1.0.
self.m = nn.Sequential(*[Bottleneck(c_, c_, shortcut, g, e=1.0) for _ in range(n)])

I know the Bottleneck module's role: it reduce the number of channels as expansion factor e.
However in the code, the module has e=1.0 which preserve number of channels.
I wonder why you use factor e=1.0.

@JM-Kim-94 JM-Kim-94 added the question Further information is requested label Feb 19, 2021
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github-actions bot commented Feb 19, 2021

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@glenn-jocher
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@JM-Kim-94 the expansion factor e=1.0 in the C3() modules is inherited from the same expansion factor in the CSPBottleneck() modules, which are based on the work in https://arxiv.org/abs/1911.11929.

@JM-Kim-94
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@glenn-jocher
Thanks for your prompt reply!

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This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

@github-actions github-actions bot added the Stale Stale and schedule for closing soon label Mar 24, 2021
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