how to create 1d Convolutional network with pading? about convnetsharp

[cbovar]

It seems that padding is applied on 2 dimensions for the moment. Here are the lines where the padding is applied:

Double
https://github.com/cbovar/ConvNetSharp/blob/master/src/ConvNetSharp.Volume/Double/Volume.cs#L164-L167
https://github.com/cbovar/ConvNetSharp/blob/master/src/ConvNetSharp.Volume/Double/Volume.cs#L220-L223

Single
https://github.com/cbovar/ConvNetSharp/blob/master/src/ConvNetSharp.Volume/Single/Volume.cs#L161-L164
https://github.com/cbovar/ConvNetSharp/blob/master/src/ConvNetSharp.Volume/Single/Volume.cs#L217-L221

GPU double
https://github.com/cbovar/ConvNetSharp/blob/master/src/ConvNetSharp.Volume.GPU/Double/Volume.cs#L265
https://github.com/cbovar/ConvNetSharp/blob/master/src/ConvNetSharp.Volume.GPU/Double/Volume.cs#L332

GPU single
https://github.com/cbovar/ConvNetSharp/blob/master/src/ConvNetSharp.Volume.GPU/Single/Volume.cs#L264
https://github.com/cbovar/ConvNetSharp/blob/master/src/ConvNetSharp.Volume.GPU/Single/Volume.cs#L336

ConvLayer<T>.UpdateOutputSize() methods should be updated too.

Would you like to give it a try ?

[lazerdust]

Yes. Where to commit? branch? Access?

[cbovar]

You can fork this repo, create a branch, commit your changes (code and tests) on that branch and then create a pull request from that branch. I will review it and merge it.