using Keras.Layers;

using NumSharp;

using System;

using System.Collections.Generic;

using System.Text;

namespace Tensorflow.Keras.Engine

{

public class TensorFlowOpLayer : Layer

{

public TensorFlowOpLayer(string node_def, string name, NDArray[] constants = null, bool trainable = true, string dtype = null)

{

}

public override void call(Tensor[] inputs)

{

throw new NotImplementedException();

}

public override Dictionary<string, object> get_config()

{

throw new NotImplementedException();

}

private NodeDef _make_node_def(Graph graph) => throw new NotImplementedException();

private Tensor[] _make_op(Tensor[] inputs) => throw new NotImplementedException();

private Tensor[] _defun_call(Tensor[] inputs) => throw new NotImplementedException();

}

public class AddLoss : Layer

{

public AddLoss(bool unconditional)

{

throw new NotImplementedException();

}

public override void call(Tensor[] inputs)

{

throw new NotImplementedException();

}

public override Dictionary<string, object> get_config()

{

throw new NotImplementedException();

}

}

public class AddMetric : Layer

{

public AddMetric(string aggregation = null, string metric_name = null)

{

throw new NotImplementedException();

}

public override void call(Tensor[] inputs)

{

throw new NotImplementedException();

}

public override Dictionary<string, object> get_config()

{

throw new NotImplementedException();

}

}

public class KerasHistory

{

}

}