all examples passed, ready to merge to master.

Oceania2018 · Oceania2018 · commit 1961e815e70b · 2019-08-17T08:21:27.000-05:00
diff --git a/src/TensorFlowNET.Core/Framework/graph_util_impl.cs b/src/TensorFlowNET.Core/Framework/graph_util_impl.cs
@@ -78,7 +78,7 @@ public GraphDef convert_variables_to_constants(Session sess,
             }
 
             // 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);
 
diff --git a/src/TensorFlowNET.Core/Sessions/_FetchHandler.cs b/src/TensorFlowNET.Core/Sessions/_FetchHandler.cs
@@ -82,6 +82,9 @@ public NDArray[] build_results(BaseSession session, NDArray[] tensor_values)
                             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}");
                         }
diff --git a/test/TensorFlowNET.Examples/TextProcessing/NER/LstmCrfNer.cs b/test/TensorFlowNET.Examples/TextProcessing/NER/LstmCrfNer.cs
@@ -80,7 +80,7 @@ public bool Run()
 
         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);
diff --git a/test/TensorFlowNET.Examples/TextProcessing/Word2Vec.cs b/test/TensorFlowNET.Examples/TextProcessing/Word2Vec.cs
@@ -97,7 +97,7 @@ from wi2 in wi.DefaultIfEmpty()
                     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>()

Original file line number	Diff line number	Diff line change
`@@ -78,7 +78,7 @@ public GraphDef convert_variables_to_constants(Session sess,`
`78`	`78`	`}`
`79`	`79`
`80`	`80`	`// Gets map of variables and the associated data.`
`81`		`- NDArray returned_variables = null;`
	`81`	`+ NDArray[] returned_variables = null;`
`82`	`82`	`if (variable_names != null)`
`83`	`83`	`returned_variables = sess.run(variable_names);`
`84`	`84`
Original file line number	Diff line number	Diff line change
`@@ -80,7 +80,7 @@ public bool Run()`
`80`	`80`
`81`	`81`	`private float run_epoch(Session sess, CoNLLDataset train, CoNLLDataset dev, int epoch)`
`82`	`82`	`{`
`83`		`- NDArray results = null;`
	`83`	`+ NDArray[] results = null;`
`84`	`84`
`85`	`85`	`// iterate over dataset`
`86`	`86`	`var batches = minibatches(train, hp.batch_size);`
Original file line number	Diff line number	Diff line change
`@@ -97,7 +97,7 @@ from wi2 in wi.DefaultIfEmpty()`
`97`	`97`	`if (step % eval_step == 0 \|\| step == 1)`
`98`	`98`	`{`
`99`	`99`	`print("Evaluation...");`
`100`		`- var sim = sess.run(cosine_sim_op, new FeedItem(X, x_test));`
	`100`	`+ var sim = sess.run(cosine_sim_op, new FeedItem(X, x_test))[0];`
`101`	`101`	`foreach(var i in range(len(eval_words)))`
`102`	`102`	`{`
`103`	`103`	`var nearest = (0f - sim[i]).argsort<float>()`