all examples passed, ready to merge to master.

src/TensorFlowNET.Core/Framework/graph_util_impl.cs

@@ -78,7 +78,7 @@ namespace Tensorflow
             }
 
             // Gets map of variables and the associated data.
-            NDArray returned_variables = null;
+            NDArray[] returned_variables = null;
             if (variable_names != null)
                 returned_variables = sess.run(variable_names);
 

src/TensorFlowNET.Core/Sessions/_FetchHandler.cs

@@ -82,6 +82,9 @@ namespace Tensorflow
                             case "String":
                                 full_values.Add(float.NaN);
                                 break;
+                            case "Char":
+                                full_values.Add(float.NaN);
+                                break;
                             default:
                                 throw new NotImplementedException($"build_results tensor_values[0] {tensor_values[0].dtype.Name}");
                         }

test/TensorFlowNET.Examples/TextProcessing/NER/LstmCrfNer.cs

@@ -80,7 +80,7 @@ namespace TensorFlowNET.Examples.Text.NER
 
         private float run_epoch(Session sess, CoNLLDataset train, CoNLLDataset dev, int epoch)
         {
-            NDArray results = null;
+            NDArray[] results = null;
 
             // iterate over dataset
             var batches = minibatches(train, hp.batch_size);

test/TensorFlowNET.Examples/TextProcessing/Word2Vec.cs

@@ -97,7 +97,7 @@ namespace TensorFlowNET.Examples
                     if (step % eval_step == 0 || step == 1)
                     {
                         print("Evaluation...");
-                        var sim = sess.run(cosine_sim_op, new FeedItem(X, x_test));
+                        var sim = sess.run(cosine_sim_op, new FeedItem(X, x_test))[0];
                         foreach(var i in range(len(eval_words)))
                         {
                             var nearest = (0f - sim[i]).argsort<float>()