Fix batch_size for Keras Input.

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

@@ -108,6 +108,7 @@ namespace Tensorflow.Keras.Layers
         public ILayer GlobalMaxPooling2D(string data_format = "channels_last");
 
         public Tensors Input(Shape shape,
+            int batch_size = -1,
             string name = null,
             bool sparse = false,
             bool ragged = false);

src/TensorFlowNET.Keras/Layers/LayersApi.cs

@@ -469,6 +469,7 @@ namespace Tensorflow.Keras.Layers
         /// </param>
         /// <returns>A tensor.</returns>
         public Tensors Input(Shape shape,
+            int batch_size = -1,
             string name = null,
             bool sparse = false,
             bool ragged = false)
@@ -476,6 +477,7 @@ namespace Tensorflow.Keras.Layers
             var input_layer = new InputLayer(new InputLayerArgs
             {
                 InputShape = shape,
+                BatchSize= batch_size,
                 Name = name,
                 Sparse = sparse,
                 Ragged = ragged

src/python/xor_keras.py

@@ -4,6 +4,7 @@ import tensorflow as tf
 
 os.environ["CUDA_VISIBLE_DEVICES"] = "-1"
 print(tf.__version__)
+# https://playground.tensorflow.org/
 # tf.compat.v1.enable_eager_execution()
 # tf.debugging.set_log_device_placement(True);
 tf.config.run_functions_eagerly(True)