rename call to call_fn.

src/TensorFlowNET.Core/Keras/ArgsDefinition/TensorFlowOpLayerArgs.cs

@@ -1,4 +1,5 @@
-using System;
+using NumSharp;
+using System;
 using System.Collections.Generic;
 using System.Text;
 
@@ -7,5 +8,6 @@ namespace Tensorflow.Keras.ArgsDefinition
     public class TensorFlowOpLayerArgs : LayerArgs
     {
         public NodeDef NodeDef { get; set; }
+        public Dictionary<int, NDArray> Constants { get; set; }
     }
 }

src/TensorFlowNET.Core/Keras/BackendImpl.cs

@@ -160,9 +160,9 @@ namespace Tensorflow.Keras
         /// </summary>
         /// <param name="outputs"></param>
         /// <returns></returns>
-        public Tensor eval_in_eager_or_function(Tensor outputs)
+        public NDArray eval_in_eager_or_function(Tensor outputs)
         {
-            throw new NotImplementedException("");
+            return outputs.eval();
         }
 
         public class _DummyEagerGraph

src/TensorFlowNET.Core/Keras/Engine/Flatten.cs

@@ -21,7 +21,7 @@ namespace Tensorflow.Keras.Engine
             _channels_first = args.DataFormat == "channels_first";
         }
 
-        protected override Tensors call(Tensors inputs, Tensor state = null, bool is_training = false)
+        protected override Tensors call_fn(Tensors inputs, Tensor state = null, bool is_training = false)
         {
             if (_channels_first)
             {

src/TensorFlowNET.Core/Keras/Engine/Functional.cs

@@ -69,10 +69,14 @@ namespace Tensorflow.Keras.Engine
             }
         }
 
-        protected override Tensors call(Tensors inputs, Tensor state = null, bool is_training = false)
+        protected override Tensors call_fn(Tensors inputs, Tensor state = null, bool is_training = false)
         {
-            return base.call(inputs, state, is_training);
+            return run_internal_graph(inputs, state, is_training);
         }
 
+        Tensors run_internal_graph(Tensors inputs, Tensor state = null, bool is_training = false)
+        {
+            throw new NotImplementedException("");
+        }
     }
 }

src/TensorFlowNET.Core/Keras/Engine/Layer.Apply.cs

@@ -46,7 +46,7 @@ namespace Tensorflow.Keras.Engine
                 if (!built)
                     MaybeBuild(inputs);
 
-                outputs = call(inputs, state: state, is_training: is_training);
+                outputs = call_fn(inputs, state: state, is_training: is_training);
 
                 outputs = _set_connectivity_metadata_(inputs, outputs);
                 _handle_activity_regularization(inputs, outputs);

src/TensorFlowNET.Core/Keras/Engine/Layer.FunctionalConstructionCall.cs

@@ -42,7 +42,7 @@ namespace Tensorflow.Keras.Engine
                 if (!dynamic)
                     throw new NotImplementedException("");
 
-                outputs = call(inputs);
+                outputs = call_fn(inputs);
 
                 outputs = _set_connectivity_metadata_(inputs, outputs);
                 _handle_activity_regularization(inputs, outputs);

src/TensorFlowNET.Core/Keras/Engine/Layer.cs

@@ -162,7 +162,7 @@ namespace Tensorflow.Keras.Engine
         /// <param name="state"></param>
         /// <param name="is_training"></param>
         /// <returns></returns>
-        protected virtual Tensors call(Tensors inputs, Tensor state = null, bool is_training = false)
+        protected virtual Tensors call_fn(Tensors inputs, Tensor state = null, bool is_training = false)
         {
             throw new NotImplementedException("");
         }

src/TensorFlowNET.Core/Keras/Engine/Node.cs

@@ -52,8 +52,6 @@ namespace Tensorflow.Keras.Engine
             layer.InboundNodes.Add(this);
             foreach (var kt in kerasInputs)
             {
-                if (kt.KerasHistory == null)
-                    continue;
                 var inbound_layer = kt.KerasHistory.layer;
                 if (inbound_layer != null)
                     inbound_layer.OutboundNodes.Add(this);

src/TensorFlowNET.Core/Keras/Engine/TensorFlowOpLayer.cs

@@ -23,9 +23,9 @@ namespace Tensorflow.Keras.Engine
             built = true;
         }
 
-        protected override Tensors call(Tensors inputs, Tensor state = null, bool is_training = false)
+        protected override Tensors call_fn(Tensors inputs, Tensor state = null, bool is_training = false)
         {
-            return base.call(inputs, state, is_training);
+            return base.call_fn(inputs, state, is_training);
         }
     }
 }

src/TensorFlowNET.Core/Keras/Layers/BatchNormalization.cs

@@ -119,7 +119,7 @@ namespace Tensorflow.Keras.Layers
             built = true;
         }
 
-        protected override Tensors call(Tensors inputs, Tensor state = null, bool is_training = false)
+        protected override Tensors call_fn(Tensors inputs, Tensor state = null, bool is_training = false)
         {
             Tensor outputs = null;
 

src/TensorFlowNET.Core/Keras/Layers/Convolutional.cs

@@ -98,7 +98,7 @@ namespace Tensorflow.Keras.Layers
             built = true;
         }
 
-        protected override Tensors call(Tensors inputs, Tensor state = null, bool training = false)
+        protected override Tensors call_fn(Tensors inputs, Tensor state = null, bool training = false)
         {
             var outputs = _convolution_op.Apply(inputs, kernel);
             if (use_bias)

src/TensorFlowNET.Core/Keras/Layers/Dense.cs

@@ -65,7 +65,7 @@ namespace Tensorflow.Keras.Layers
             built = true;
         }
 
-        protected override Tensors call(Tensors inputs, Tensor state = null, bool training = false)
+        protected override Tensors call_fn(Tensors inputs, Tensor state = null, bool training = false)
         {
             Tensor outputs = null;
             var rank = inputs.rank;

src/TensorFlowNET.Core/Keras/Layers/Dropout.cs

@@ -18,7 +18,7 @@ namespace Tensorflow.Keras.Layers
             this.args = args;
         }
 
-        protected override Tensors call(Tensors inputs, Tensor state = null, bool is_training = false)
+        protected override Tensors call_fn(Tensors inputs, Tensor state = null, bool is_training = false)
         {
             var output = tf_utils.smart_cond(is_training,
                 () => tf.nn.dropout(inputs,

src/TensorFlowNET.Core/Keras/Layers/Embedding.cs

@@ -62,7 +62,7 @@ namespace Tensorflow.Keras.Layers
             built = true;
         }
 
-        protected override Tensors call(Tensors inputs, Tensor state = null, bool is_training = false)
+        protected override Tensors call_fn(Tensors inputs, Tensor state = null, bool is_training = false)
         {
             var dtype = inputs.dtype;
             if (dtype != tf.int32 && dtype != tf.int64)

src/TensorFlowNET.Core/Keras/Layers/LSTM.cs

@@ -29,9 +29,9 @@ namespace Tensorflow.Keras.Layers
                 .ToArray();
         }
 
-        protected override Tensors call(Tensors inputs, Tensor state = null, bool is_training = false)
+        protected override Tensors call_fn(Tensors inputs, Tensor state = null, bool is_training = false)
         {
-            return base.call(inputs, state: state, is_training: is_training);
+            return base.call_fn(inputs, state: state, is_training: is_training);
         }
     }
 }

src/TensorFlowNET.Core/Keras/Layers/Pooling2D.cs

@@ -36,7 +36,7 @@ namespace Tensorflow.Keras.Layers
             input_spec = new InputSpec(ndim: 4);
         }
 
-        protected override Tensors call(Tensors inputs, Tensor state = null, bool is_training = false)
+        protected override Tensors call_fn(Tensors inputs, Tensor state = null, bool is_training = false)
         {
             int[] pool_shape;
             int[] strides;

src/TensorFlowNET.Core/Keras/Layers/Rescaling.cs

@@ -20,7 +20,7 @@ namespace Tensorflow.Keras.Layers
             this.args = args;
         }
 
-        protected override Tensors call(Tensors inputs, Tensor state = null, bool is_training = false)
+        protected override Tensors call_fn(Tensors inputs, Tensor state = null, bool is_training = false)
         {
             scale = math_ops.cast(args.Scale, args.DType);
             offset = math_ops.cast(args.Offset, args.DType);

src/TensorFlowNET.Core/Keras/Layers/ZeroPadding2D.cs

@@ -29,7 +29,7 @@ namespace Tensorflow.Keras.Layers
             this.input_spec = new InputSpec(ndim: 4);
         }
 
-        protected override Tensors call(Tensors inputs, Tensor state = null, bool is_training = false)
+        protected override Tensors call_fn(Tensors inputs, Tensor state = null, bool is_training = false)
         {
             return tf.keras.backend.spatial_2d_padding(inputs,
                 padding: padding,

src/TensorFlowNET.Core/Keras/Utils/base_layer_utils.cs

@@ -14,6 +14,7 @@
    limitations under the License.
 ******************************************************************************/
 
+using NumSharp;
 using System;
 using System.Collections.Generic;
 using System.Linq;
@@ -135,7 +136,7 @@ namespace Tensorflow.Keras.Utils
                 if (!processed_ops.Contains(op))
                 {
                     var layer_inputs = new List<Tensor>();
-
+                    var constants = new Dictionary<int, NDArray>();
                     foreach (var (i, op_input) in enumerate(op.inputs._inputs))
                     {
                         if (uses_keras_history(op_input))
@@ -144,8 +145,7 @@ namespace Tensorflow.Keras.Utils
                         {
                             tf_with(ops.init_scope(), delegate
                             {
-
-
+                                constants[i] = tf.keras.backend.eval_in_eager_or_function(op_input);
                             });
                         }
                     }
@@ -155,6 +155,7 @@ namespace Tensorflow.Keras.Utils
                     var op_layer = new TensorFlowOpLayer(new TensorFlowOpLayerArgs
                     {
                         NodeDef = op.node_def,
+                        Constants = constants,
                         Name = op.name
                     });
                     created_layers.Add(op_layer);

src/TensorFlowNET.Core/Operations/NnOps/BasicLSTMCell.cs

@@ -74,7 +74,7 @@ namespace Tensorflow
         /// <param name="training"></param>
         /// <param name="state"></param>
         /// <returns></returns>
-        protected override Tensors call(Tensors inputs, Tensor state = null, bool is_training = false)
+        protected override Tensors call_fn(Tensors inputs, Tensor state = null, bool is_training = false)
         {
             var one = constant_op.constant(1, dtype: dtypes.int32);
             // Parameters of gates are concatenated into one multiply for efficiency.

src/TensorFlowNET.Core/Operations/NnOps/BasicRNNCell.cs

@@ -67,7 +67,7 @@ namespace Tensorflow
             built = true;
         }
 
-        protected override Tensors call(Tensors inputs, Tensor state = null, bool is_training = false)
+        protected override Tensors call_fn(Tensors inputs, Tensor state = null, bool is_training = false)
         {
             // Most basic RNN: output = new_state = act(W * input + U * state + B).
             var concat = array_ops.concat(new Tensor[] { inputs, state }, 1);

src/TensorFlowNET.Core/Sessions/_FetchHandler.cs

@@ -124,6 +124,9 @@ namespace Tensorflow
                             case NPTypeCode.Double:
                                 full_values.Add(value.GetValue<double>(0));
                                 break;
+                            case NPTypeCode.Boolean:
+                                full_values.Add(value.GetValue<bool>(0));
+                                break;
                             /*case "String":
                                 full_values.Add(value.Data<byte>()[0]);
                                 break;*/

src/TensorFlowNET.Core/Tensorflow.Binding.csproj

@@ -72,6 +72,8 @@ https://tensorflownet.readthedocs.io</Description>
   </ItemGroup>
 
   <ItemGroup>
+    <None Remove="FodyWeavers.xml" />
+    <None Remove="FodyWeavers.xsd" />
     <None Remove="Protobuf\README.md" />
   </ItemGroup>
 
@@ -84,10 +86,4 @@ https://tensorflownet.readthedocs.io</Description>
   <ItemGroup>
     <Folder Include="Keras\Initializers\" />
   </ItemGroup>
-
-  <ItemGroup>
-    <None Update="FodyWeavers.xml">
-      <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
-    </None>
-  </ItemGroup>
 </Project>