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Gradient backward of the first filter is much lower than other layers. #89

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mechanicalsea opened this issue May 29, 2020 · 0 comments
Open

Gradient backward of the first filter is much lower than other layers. #89

mechanicalsea opened this issue May 29, 2020 · 0 comments

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@mechanicalsea
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When using PyTorch, I showed that learning the first filter cost much time, e.g.,

  1. with a batch (200, 32240), a gradient backward of the first filter took about 1 second,
  2. however, other layers took only lower than 0.1 seconds.

Is that happen to you?

I also compared it with ResNetSE34 and showed:

  1. For the forward process, SincNet is more efficient than ResNetSE34,
  2. however, for the backward, ResNetSE34 took less time.

Thanks for your attention.
Looking forward to your response.
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@mechanicalsea