CondTestCases.testCondTrue passed

Oceania2018 · Oceania2018 · commit 098ffdfaf536 · 2019-04-13T17:12:43.000-05:00
diff --git a/test/TensorFlowNET.UnitTest/PythonTest.cs b/test/TensorFlowNET.UnitTest/PythonTest.cs
@@ -136,6 +136,7 @@ protected object _eval_tensor(object tensor)
         /// <param name="tensors">A Tensor or a nested list/tuple of Tensors.</param>
         /// </summary>
         /// <returns> tensors numpy values.</returns>
+        [Obsolete("Why do we need this function? we already have Tensor.eval().")]
         public object evaluate(params Tensor[] tensors)
         {
             //  if context.executing_eagerly():
diff --git a/test/TensorFlowNET.UnitTest/control_flow_ops_test/CondTestCases.cs b/test/TensorFlowNET.UnitTest/control_flow_ops_test/CondTestCases.cs
@@ -13,11 +13,16 @@ public class CondTestCases : PythonTest
         [TestMethod]
         public void testCondTrue()
         {
-            var x = tf.constant(2);
-            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)));
-            self.assertEquals(self.evaluate(z), 34);
+            with(tf.Session(), sess =>
+            {
+                var x = tf.constant(2);
+                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)));
+                int result = z.eval(sess);
+                assertEquals(result, 34);
+            });
         }
 
         [Ignore("Todo")]

Original file line number	Diff line number	Diff line change
`@@ -136,6 +136,7 @@ protected object _eval_tensor(object tensor)`
`136`	`136`	`/// <param name="tensors">A Tensor or a nested list/tuple of Tensors.</param>`
`137`	`137`	`/// </summary>`
`138`	`138`	`/// <returns> tensors numpy values.</returns>`
	`139`	`+ [Obsolete("Why do we need this function? we already have Tensor.eval().")]`
`139`	`140`	`public object evaluate(params Tensor[] tensors)`
`140`	`141`	`{`
`141`	`142`	`// if context.executing_eagerly():`