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Add support for dilated Conv1D and Conv2D #275
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eaplatanios
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Jun 22, 2019
eaplatanios
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Jun 22, 2019
@eaplatanios Thanks for pointing that out. Wish we had a designated formatter 😄. |
eaplatanios
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Jun 22, 2019
eaplatanios
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Jun 22, 2019
rxwei
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Jun 22, 2019
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Nice, thank you!
@eaplatanios @rxwei Although I see the extensions have dilation as optional, I'm wondering why dilation wasn't made optional in the main public init, because the dilated convolutions aren't used by everyone. Even within the raw bindings, they are an optional parameter with some default value declared. So is the case for the tensorflow and keras convolution APIs. Wdyt? |
@Shashi456 good point. I added some defaults along with some minor stylistic changes in #277. |
+1 to default arguments. |
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#274
The documentation for some layers seem to be lacking in detail. I'll try to clarify some things when I get the chance.