Documentation about compilednn HOT 4 OPEN

  static const Node& buildNode(Conv2DLayer* l, const std::array<unsigned int, 2>& strides, const std::array<unsigned int, 2>& kernelSize,
                               bool hasBiases, ActivationFunctionId activation, PaddingType padding, unsigned int filters,
                               unsigned int height, unsigned int width, unsigned int channels)
  {                               
    l->nodes.clear();
    l->strides = strides;                                           
    l->weights.reshape(kernelSize[0], kernelSize[1], channels, filters);
    l->biases.resize(hasBiases ? filters : 0);
    l->hasBiases = hasBiases;                                         
    l->activationId = activation;
    l->padding = padding;
     
    l->nodes.emplace_back(l);
    Node& n = l->nodes.back();
    n.inputs.emplace_back(nullptr, 0, 0);
    n.inputDimensions.push_back({height, width, channels});
    l->calcOutputDimensions(n);                 
    for(std::size_t i = 0; i < n.outputDimensions.size(); ++i)
      n.outputs.emplace_back(l, 0, i);
    return n;
  }

CompiledNN c;
Conv2DLayer l;
const Node& n = buildNode(&l, {stride, stride}, {kernelSize, kernelSize}, true, ...);
// ... copy weights to l.weights, copy biases to l.biases
c.compile(n, CompilationSettings());
// ... fill c.input(0)
c.apply();
// ... obtain output from c.output(0)