Making Deep learning Layer : 1D conv like [1 25] filter

hello,

I am author of gCNN method,

i used matconvnet toolbox, but i want to adapt matlab's own toolbox,

but i have had many trouble with making new class, if someone help me, i make a great speed of development...

1. i found, Define Custom Deep Learning Layer - "https://kr.mathworks.com/help/deeplearning/ug/define-custom-deep-learning-layer.html"
2. so, i do make a new convolutionLayer using already exist class like Convolution2D.m
3. my list of class below

* Class location : /Applications/MATLAB_R2019a.app/toolbox/nnet/cnn/+nnet/+internal/+cnn/+layer/

1) geometryConvolution2D.m

2) geometryMaxPooling2D.m

* Class location : /Applications/MATLAB_R2019a.app/toolbox/nnet/cnn/+nnet/+internal/+cnn/+layer/+util

3) geometryConvolution2DGPUStrategy.m

4) geometryConvolution2DHostStridedConvStrategy.m

1) geometryConvolution2D.m :: doForward (in geometryConvolution2D.m > forward > forward normal)

function [Z, memory] = predictNormal( this, X )

[weights0,bias0] = this.QuantizationMethod.remapped(this.Weights.Value,this.Bias.Value);

% Data preprocessing

X_ = mnet_make25dot_interpolation(X); % my owen function to sampling data N x 1 to N x 25 // conv 1D filter 1x25 then, get N x 1 again

Z = this.doForward(X_,weights0,bias0);

%

memory = [];

end

my bottleneck is here...

% Set Hyper-parameters

this.FilterSize = [1, filterSize(2) ]; % use same code :: convolution2dLayer_sb(25, 20, 'Name', 'Gconv_1') % custom Layer

but it does not work... error to check function in "trainNetwork.m"

% Infer parameters of layers

isaDAG = iHaveDAGNetwork(layersOrGraph);

analyzedLayers = iInferParameters(layersOrGraph); % !!!!!!!!!here!!!!!!!!!

please help me

[Dheeraj Singh]

Could you provide the code files and the error message that you received...