public void Connect(Layer layer)
{
_layer = layer;
if (args.InputTensors != null)
{
KerasInputs.AddRange(args.InputTensors);
}
// Wire up Node to Layers.
layer.InboundNodes.Add(this);
foreach (var kt in KerasInputs)
{
if (kt.KerasHistory == null)
{
continue;
}
var(inbound_layer, _, _) = kt.KerasHistory;
if (inbound_layer != null)
{
inbound_layer.OutboundNodes.Add(this);
}
}
// Set metadata on outputs.
var node_index = layer.InboundNodes.Count - 1;
foreach (var(i, tensor) in enumerate(Outputs))
{
tensor.KerasHistory = new KerasHistory(layer, node_index, i);
}
}
public Node(Layer layer, NodeArgs args)
{
this.args = args;
this.Layer = layer;
if (args.InputTensors != null)
{
KerasInputs.AddRange(args.InputTensors);
}
foreach (var(i, ele) in enumerate(KerasInputs))
{
_keras_inputs_ids_and_indices[i] = ele.GetHashCode();
}
// Wire up Node to Layers.
layer.InboundNodes.Add(this);
foreach (var kt in KerasInputs)
{
if (kt.KerasHistory == null)
{
continue;
}
var(inbound_layer, _, _) = kt.KerasHistory;
if (inbound_layer != null)
{
inbound_layer.OutboundNodes.Add(this);
}
}
// Set metadata on outputs.
var node_index = layer.InboundNodes.Count - 1;
foreach (var(i, tensor) in enumerate(Outputs))
{
tensor.KerasHistory = new KerasHistory(layer, node_index, i, tensor);
}
// Cached for performance.
FlatInputIds = KerasInputs.Select(x => x.GetHashCode()).ToArray();
FlatOutputIds = Outputs.Select(x => x.GetHashCode()).ToArray();
}