Base Layer methods in progress

src/TensorFlowNET.Keras/IInitializer.cs

@@ -1,6 +0,0 @@
-namespace Keras
-{
-    interface IInitializer
-    {
-    }
-}

src/TensorFlowNET.Keras/Layers/Layer.cs

@@ -1,14 +1,172 @@
-using System;
+using NumSharp;
+using System;
 using System.Collections.Generic;
 using Tensorflow;
 using Tensorflow.Keras.Constraints;
 using Tensorflow.Keras.Initializers;
+using Tensorflow.Keras.Losses;
 using Tensorflow.Keras.Regularizers;
 
 namespace Keras.Layers
 {
     public abstract class Layer
     {
+        public TF_DataType dtype
+        {
+            get
+            {
+                throw new NotImplementedException();
+            }
+        }
+
+        public string name
+        {
+            get
+            {
+                throw new NotImplementedException();
+            }
+        }
+
+        public bool stateful
+        {
+            get
+            {
+                throw new NotImplementedException();
+            }
+            set
+            {
+                throw new NotImplementedException();
+            }
+        }
+
+        public bool trainable
+        {
+            get
+            {
+                throw new NotImplementedException();
+            }
+        }
+
+        public Regularizer activity_regularizer
+        {
+            get
+            {
+                throw new NotImplementedException();
+            }
+            set
+            {
+                throw new NotImplementedException();
+            }
+        }
+
+        public dynamic input_spec
+        {
+            get
+            {
+                throw new NotImplementedException();
+            }
+            set
+            {
+                throw new NotImplementedException();
+            }
+        }
+
+        public Tensor[] trainable_weights
+        {
+            get
+            {
+                throw new NotImplementedException();
+            }
+        }
+
+        public Tensor[] non_trainable_weights
+        {
+            get
+            {
+                throw new NotImplementedException();
+            }
+        }
+
+        public Tensor[] weights
+        {
+            get
+            {
+                throw new NotImplementedException();
+            }
+        }
+
+        public Func<bool>[] updates
+        {
+            get
+            {
+                throw new NotImplementedException();
+            }
+        }
+
+        public Tensor[] losses
+        {
+            get
+            {
+                throw new NotImplementedException();
+            }
+        }
+
+        public Tensor[] metrics
+        {
+            get
+            {
+                throw new NotImplementedException();
+            }
+        }
+
+        public Tensor[] input_mask
+        {
+            get
+            {
+                throw new NotImplementedException();
+            }
+        }
+
+        public Tensor[] output_mask
+        {
+            get
+            {
+                throw new NotImplementedException();
+            }
+        }
+
+        public Tensor[] input
+        {
+            get
+            {
+                throw new NotImplementedException();
+            }
+        }
+
+        public Tensor[] output
+        {
+            get
+            {
+                throw new NotImplementedException();
+            }
+        }
+
+        public TensorShape[] input_shape
+        {
+            get
+            {
+                throw new NotImplementedException();
+            }
+        }
+
+        public TensorShape[] output_shape
+        {
+            get
+            {
+                throw new NotImplementedException();
+            }
+        }
+
         public Layer(bool trainable = true, string name = null, string dtype = null, bool @dynamic = false, Dictionary<string, object> kwargs = null)
         {
 
@@ -32,5 +190,39 @@ namespace Keras.Layers
         public TensorShape compute_output_shape(TensorShape input_shape) => throw new NotImplementedException();
 
         public dynamic compute_output_signature(dynamic input_signature) => throw new NotImplementedException();
+
+        public Tensor[] compute_mask(Tensor[] inputs, Tensor[] mask = null) => throw new NotImplementedException();
+
+        public void __call__(Tensor[] inputs) => throw new NotImplementedException();
+
+        public void add_loss(Loss[] losses, Tensor[] inputs = null) => throw new NotImplementedException();
+
+        public void _clear_losses() => throw new NotImplementedException();
+
+        public void add_metric(Tensor value, string aggregation= null, string name= null) => throw new NotImplementedException();
+
+        public void add_update(Func<bool>[] updates) => throw new NotImplementedException();
+
+        public void set_weights(NDArray[] weights) => throw new NotImplementedException();
+
+        public NDArray[] get_weights() => throw new NotImplementedException();
+
+        public Func<bool>[] get_updates_for(Tensor[] inputs) => throw new NotImplementedException();
+
+        public Tensor[] get_losses_for(Tensor[] inputs) => throw new NotImplementedException();
+
+        public Tensor[] get_input_mask_at(int node_index) => throw new NotImplementedException();
+
+        public Tensor[] get_output_mask_at(int node_index) => throw new NotImplementedException();
+
+        public TensorShape[] get_input_shape_at(int node_index) => throw new NotImplementedException();
+
+        public TensorShape[] get_output_shape_at(int node_index) => throw new NotImplementedException();
+
+        public Tensor[] get_input_at(int node_index) => throw new NotImplementedException();
+
+        public Tensor[] get_output_at(int node_index) => throw new NotImplementedException();
+
+        public int count_params() => throw new NotImplementedException();
     }
 }

src/TensorFlowNET.Keras/Losses/Loss.cs

@@ -4,7 +4,7 @@ using System.Text;
 
 namespace Tensorflow.Keras.Losses
 {
-    class Loss
+    public abstract class Loss
     {
     }
 }