fix TF_OperationOutputNumConsumers

src/TensorFlowNET.Core/Gradients/gradients_impl.py.cs

@@ -2,6 +2,7 @@
 using System.Collections.Generic;
 using System.Linq;
 using System.Text;
+using System.Threading;
 
 namespace Tensorflow
 {
@@ -49,10 +50,9 @@ namespace Tensorflow
             all.AddRange(stop_gradients1);
             all.AddRange(grad_ys1);
 
-            string grad_scope = "";
-            using (var namescope = new ops.name_scope(name, "gradients", values: all))
+            Python.with<ops.name_scope>(new ops.name_scope(name, "gradients", values: all), scope =>
             {
-                grad_scope = namescope;
+                string grad_scope = scope;
                 // Get a uid for this call to gradients that can be used to help
                 // cluster ops for compilation.
                 var gradient_uid = ops.get_default_graph().unique_name("uid");
@@ -63,7 +63,7 @@ namespace Tensorflow
                 var from_ops = xs1.Select(x => x.op).ToList();
                 var stop_gradient_ops = stop_gradients1.Select(x => x.op).ToList();
                 _PendingCount(to_ops, from_ops, colocate_gradients_with_ops, new List<object>(), xs1);
-            }
+            });
         }
 
         /// <summary>

src/TensorFlowNET.Core/Operations/Operation.cs

@@ -38,7 +38,7 @@ namespace Tensorflow
                 return;
 
             _handle = handle;
-
+            this.Graph = ops.get_default_graph();
             _outputs = new Tensor[NumOutputs];
             for (int i = 0; i < NumOutputs; i++)
                 _outputs[i] = new Tensor(this, i, OutputType(i));

src/TensorFlowNET.Core/Operations/c_api.ops.cs

@@ -169,9 +169,6 @@ namespace Tensorflow
         [DllImport(TensorFlowLibName)]
         public static extern unsafe int TF_OperationOutputConsumers(TF_Output oper_out, IntPtr consumers, int max_consumers);
 
-        [DllImport(TensorFlowLibName)]
-        public static extern int TF_OperationOutputConsumers(TF_Output oper_out);
-
         [DllImport(TensorFlowLibName)]
         public static extern TF_DataType TF_OperationOutputType(TF_Output oper_out);
 

src/TensorFlowNET.Core/Sessions/c_api.tf_session_helper.cs

@@ -9,7 +9,7 @@ namespace Tensorflow
     {
         public static string[] TF_OperationOutputConsumers_wrapper(TF_Output oper_out)
         {
-            int num_consumers = TF_OperationOutputConsumers(oper_out);
+            int num_consumers = TF_OperationOutputNumConsumers(oper_out);
             int size = Marshal.SizeOf<TF_Input>();
             var handle = Marshal.AllocHGlobal(size * num_consumers);
             int num = TF_OperationOutputConsumers(oper_out, handle, num_consumers);

src/TensorFlowNET.Core/Tensors/Tensor.cs

@@ -19,7 +19,7 @@ namespace Tensorflow
         private int _id;
         public int Id => _id;
 
-        public Graph Graph => op.Graph;
+        public Graph Graph => op?.Graph;
         public Operation op { get; }
 
         /// <summary>

test/TensorFlowNET.Examples/LinearRegression.cs

@@ -51,7 +51,15 @@ namespace TensorFlowNET.Examples
             var optimizer = tf.train.GradientDescentOptimizer(learning_rate);
             optimizer.minimize(cost);
 
+            // Initialize the variables (i.e. assign their default value)
+            var init = tf.global_variables_initializer();
 
+            // Start training
+            Python.with<Session>(tf.Session(), sess => 
+            {
+                // Run the initializer
+                sess.run(init);
+            });
         }
     }
 }

test/TensorFlowNET.Examples/Program.cs

@@ -13,7 +13,9 @@ namespace TensorFlowNET.Examples
             {
                 if (args.Length > 0 && !args.Contains(type.Name))
                     continue;
-                
+
+                Console.WriteLine($"{DateTime.UtcNow} Starting {type.Name}");
+
                 var example = (IExample)Activator.CreateInstance(type);
 
                 try
@@ -24,6 +26,8 @@ namespace TensorFlowNET.Examples
                 {
                     Console.WriteLine(ex);
                 }
+
+                Console.WriteLine($"{DateTime.UtcNow} Completed {type.Name}");
             }
 
             Console.ReadLine();