From 46729714d388ce1ae35c7ff32fcd02a5b20f58ac Mon Sep 17 00:00:00 2001
From: Wanglongzhi2001 <583087864@qq.com>
Date: Sun, 9 Apr 2023 16:15:46 +0800
Subject: [PATCH] Finish EarlyStopping

---
 src/TensorFlowNET.Core/Keras/Layers/ILayer.cs      | 2 +-
 src/TensorFlowNET.Keras/Callbacks/Earlystopping.cs | 6 ++----
 2 files changed, 3 insertions(+), 5 deletions(-)

diff --git a/src/TensorFlowNET.Core/Keras/Layers/ILayer.cs b/src/TensorFlowNET.Core/Keras/Layers/ILayer.cs
index 2b864f90..55409df3 100644
--- a/src/TensorFlowNET.Core/Keras/Layers/ILayer.cs
+++ b/src/TensorFlowNET.Core/Keras/Layers/ILayer.cs
@@ -17,7 +17,7 @@ namespace Tensorflow.Keras
         List<IVariableV1> TrainableVariables { get; }
         List<IVariableV1> TrainableWeights { get; }
         List<IVariableV1> NonTrainableWeights { get; }
-        List<IVariableV1> Weights { get; }
+        List<IVariableV1> Weights { get; set}
         Shape OutputShape { get; }
         Shape BatchInputShape { get; }
         TensorShapeConfig BuildInputShape { get; }
diff --git a/src/TensorFlowNET.Keras/Callbacks/Earlystopping.cs b/src/TensorFlowNET.Keras/Callbacks/Earlystopping.cs
index 0aa5006c..cba621fa 100644
--- a/src/TensorFlowNET.Keras/Callbacks/Earlystopping.cs
+++ b/src/TensorFlowNET.Keras/Callbacks/Earlystopping.cs
@@ -77,7 +77,7 @@ public class EarlyStopping: ICallback
         // Restore the weights after first epoch if no progress is ever made.
         if (_restore_best_weights && _best_weights == null)
         {
-            _best_weights = _parameters.Model.TrainableWeights;
+            _best_weights = _parameters.Model.Weights;
         }
         _wait += 1;
 
@@ -103,9 +103,7 @@ public class EarlyStopping: ICallback
                     Console.WriteLine($"Restoring model weights from the end of the best epoch: {_best_epoch + 1}");
                 }
             }
-            // Because loading the weight variable into the model has not yet been implemented, so Earlystopping can't load best_weight yet.
-            // TODO(Wanglongzhi2001): implement it.
-            // _parameters.Model.load_weights(best_weights);
+            _parameters.Model.Weights = _best_weights;
         }
     }
     public void on_train_end()