ConcatV2 should be recorded #701

Author: Oceania2018

src/TensorFlowNET.Core/Eager/EagerRunner.TFE_FastPathExecute.cs

@@ -380,8 +380,10 @@ bool SetOpAttrScalar(Context ctx, SafeOpHandle op,
                     c_api.TFE_OpSetAttrBool(op, key, Convert.ToBoolean(value));
                     break;
                 case TF_AttrType.TF_ATTR_INT:
-                    attr_list_sizes[key] = Convert.ToInt64(value);
-                    c_api.TFE_OpSetAttrInt(op, key, attr_list_sizes[key]);
+                    var size = Convert.ToInt64(value);
+                    c_api.TFE_OpSetAttrInt(op, key, size);
+                    if (attr_list_sizes != null)
+                        attr_list_sizes[key] = size;
                     break;
                 case TF_AttrType.TF_ATTR_FLOAT:
                     c_api.TFE_OpSetAttrFloat(op, key, Convert.ToSingle(value));

src/TensorFlowNET.Keras/Layers/Reshaping/Reshape.cs

@@ -22,7 +22,7 @@ public Reshape(ReshapeArgs args)
         protected override Tensors Call(Tensors inputs, Tensor state = null, bool is_training = false)
         {
             var shape_tensor = array_ops.shape(inputs);
-            var shape = new List<int> { shape_tensor.shape[0] };
+            var shape = new List<int> { inputs.shape[0] };
             shape.AddRange(args.TargetShape.dims);
 
             var result = array_ops.reshape(inputs, shape.ToArray());