reset_metrics for every epoch.

src/TensorFlowNET.Core/tensorflow.cs

@@ -48,7 +48,7 @@ namespace Tensorflow
         public tensorflow()
         {
             Logger = new LoggerConfiguration()
-                .MinimumLevel.Debug()
+                .MinimumLevel.Error()
                 .WriteTo.Console()
                 .CreateLogger();
 

src/TensorFlowNET.Keras/Engine/DataAdapters/TensorLikeDataAdapter.cs

@@ -23,7 +23,7 @@ namespace Tensorflow.Keras.Engine.DataAdapters
             num_samples = args.X.shape[0];
             var batch_size = args.BatchSize == -1 ? 32 : args.BatchSize;
             _batch_size = batch_size;
-            _size = num_samples < batch_size ? num_samples % batch_size : num_samples / batch_size;
+            _size = Convert.ToInt32(Math.Ceiling(num_samples / (batch_size + 0.0f)));
             num_full_batches = num_samples / batch_size;
             _partial_batch_size = num_samples % batch_size;
 

src/TensorFlowNET.Keras/Engine/Model.Fit.cs

@@ -89,7 +89,7 @@ namespace Tensorflow.Keras.Engine
             _train_counter.assign(0);
             foreach (var (epoch, iterator) in data_handler.enumerate_epochs())
             {
-                // reset_metrics();
+                reset_metrics();
                 // callbacks.on_epoch_begin(epoch)
                 // data_handler.catch_stop_iteration();
                 foreach (var step in data_handler.steps())

src/TensorFlowNET.Keras/Engine/Model.Metrics.cs

@@ -10,6 +10,7 @@ namespace Tensorflow.Keras.Engine
             get
             {
                 var _metrics = new List<Metric>();
+
                 if (_is_compiled)
                 {
                     if (compiled_loss != null)
@@ -18,13 +19,17 @@ namespace Tensorflow.Keras.Engine
                         _metrics.add(compiled_metrics.metrics);
                 }
 
-                foreach (var layer in _flatten_layers())
-                {
-                    // _metrics.extend(layer.metrics);
-                }
+                /*foreach (var layer in _flatten_layers())
+                    _metrics.extend(layer.metrics);*/
 
                 return _metrics;
             }
         }
+
+        void reset_metrics()
+        {
+            foreach (var metric in metrics)
+                metric.reset_states();
+        }
     }
 }

src/TensorFlowNET.Keras/Metrics/Metric.cs

@@ -2,6 +2,7 @@
 using Tensorflow.Keras.ArgsDefinition;
 using Tensorflow.Keras.Engine;
 using static Tensorflow.Binding;
+using static Tensorflow.KerasApi;
 
 namespace Tensorflow.Keras.Metrics
 {
@@ -53,6 +54,12 @@ namespace Tensorflow.Keras.Metrics
         public virtual Tensor update_state(Tensor y_true, Tensor y_pred, Tensor sample_weight = null)
             => throw new NotImplementedException("");
 
+        public virtual void reset_states()
+        {
+            foreach (var v in weights)
+                v.assign(0);
+        }
+
         public virtual Tensor result()
             => throw new NotImplementedException("");