Operation: _update_inputs works now

henon · henon · commit 33c4a9a45aec · 2019-04-13T20:15:32.000+02:00
diff --git a/src/TensorFlowNET.Core/Operations/Operation.cs b/src/TensorFlowNET.Core/Operations/Operation.cs
@@ -285,9 +285,12 @@ public void _update_input(int index, Tensor tensor)
             var output = tensor._as_tf_output();
 
             // Reset cached inputs.
-            _inputs = null;// new InputList(new Tensor[] { tensor }); // is this right? original code: self._inputs_val=None
-            // TODO: implement below code dependencies
-            //c_api.UpdateEdge(_graph._c_graph, output, input);
+            _inputs = null; 
+            // after the c_api call next time _inputs is accessed 
+            // the updated inputs are reloaded from the c_api
+            c_api.TF_UpdateEdge(_graph, output, input, status);
+            //var updated_inputs = inputs;
+
         }
 
         private void _assert_same_graph(Tensor tensor)
diff --git a/test/TensorFlowNET.UnitTest/control_flow_ops_test/CondTestCases.cs b/test/TensorFlowNET.UnitTest/control_flow_ops_test/CondTestCases.cs
@@ -19,12 +19,12 @@ public void testCondTrue()
                 var y = tf.constant(5);
                 var z = control_flow_ops.cond(tf.less(x, y), () => tf.multiply(x, tf.constant(17)),
                     () => tf.add(y, tf.constant(23)));
-                //tf.train.export_meta_graph(@"D:\dev\tensorboard\logdir\sharp.meta", as_text: false);
+                tf.train.export_meta_graph(@"D:\dev\tensorboard\logdir\sharp.meta", as_text: false);
                 self.assertEquals(eval_scalar(z), 34);
             });
         }
 
-        [Ignore("This Test Fails due to missing edges in the graph!")]
+        //[Ignore("This Test Fails due to missing edges in the graph!")]
         [TestMethod]
         public void testCondFalse()
         {

Original file line number	Diff line number	Diff line change
`@@ -19,12 +19,12 @@ public void testCondTrue()`
`19`	`19`	`var y = tf.constant(5);`
`20`	`20`	`var z = control_flow_ops.cond(tf.less(x, y), () => tf.multiply(x, tf.constant(17)),`
`21`	`21`	`() => tf.add(y, tf.constant(23)));`
`22`		`- //tf.train.export_meta_graph(@"D:\dev\tensorboard\logdir\sharp.meta", as_text: false);`
	`22`	`+ tf.train.export_meta_graph(@"D:\dev\tensorboard\logdir\sharp.meta", as_text: false);`
`23`	`23`	`self.assertEquals(eval_scalar(z), 34);`
`24`	`24`	`});`
`25`	`25`	`}`
`26`	`26`
`27`		`- [Ignore("This Test Fails due to missing edges in the graph!")]`
	`27`	`+ //[Ignore("This Test Fails due to missing edges in the graph!")]`
`28`	`28`	`[TestMethod]`
`29`	`29`	`public void testCondFalse()`
`30`	`30`	`{`