attackgithub
diff --git a/‎src/TensorFlowNET.Core/Keras/Layers/Conv.cs‎
Lines changed: 2 additions & 2 deletions b/‎src/TensorFlowNET.Core/Keras/Layers/Conv.cs‎
Lines changed: 2 additions & 2 deletions
diff --git a/‎src/TensorFlowNET.Core/Operations/nn_ops.cs‎
Lines changed: 1 addition & 1 deletion b/‎src/TensorFlowNET.Core/Operations/nn_ops.cs‎
Lines changed: 1 addition & 1 deletion
diff --git a/‎test/TensorFlowNET.UnitTest/control_flow_ops_test/CondTestCases.cs‎
Lines changed: 1 addition & 40 deletions b/‎test/TensorFlowNET.UnitTest/control_flow_ops_test/CondTestCases.cs‎
Lines changed: 1 addition & 40 deletions
@@ -101,8 +101,8 @@ protected override Tensor call(Tensor inputs, Tensor training = null)
                     throw new NotImplementedException("call channels_first");
                 }
                 else
-                {
-                    outputs = nn_ops.bias_add(outputs, bias, data_format: "NHWC");
+                {                    
+                    outputs = nn_ops.bias_add(outputs, bias._AsTensor(), data_format: "NHWC");
                 }
             }
 
 
@@ -30,7 +30,7 @@ public static Convolution Convolution(TensorShape input_shape,
         /// <param name="name"></param>
         /// <returns></returns>
         public static Tensor bias_add(Tensor value, 
-            RefVariable bias, 
+            Tensor bias, 
             string data_format = null, 
             string name = null)
         {
 
@@ -38,46 +38,7 @@ public void testCondFalse()
             });
         }
 
-        [Ignore("Todo")]
-        [TestMethod]
-        public void testCondMissingArg1()
-        {
-            //  def testCondMissingArg1(self):
-            //    x = constant_op.constant(1)
-            //    with self.assertRaises(TypeError):
-            //      control_flow_ops.cond(True, false_fn=lambda: x)
-
-        }
-
-        [Ignore("Todo")]
-        [TestMethod]
-        public void testCondMissingArg2()
-        {
-            //  def testCondMissingArg2(self):
-            //    x = constant_op.constant(1)
-            //    with self.assertRaises(TypeError):
-            //      control_flow_ops.cond(True, lambda: x)
-        }
-
-        [Ignore("Todo")]
-        [TestMethod]
-        public void testCondDuplicateArg1()
-        {
-            //  def testCondDuplicateArg1(self):
-            //    x = constant_op.constant(1)
-            //    with self.assertRaises(TypeError):
-            //      control_flow_ops.cond(True, lambda: x, lambda: x, fn1=lambda: x)
-        }
-
-        [Ignore("Todo")]
-        [TestMethod]
-        public void testCondDuplicateArg2()
-        {
-            //  def testCondDuplicateArg2(self):
-            //    x = constant_op.constant(1)
-            //    with self.assertRaises(TypeError):
-            //      control_flow_ops.cond(True, lambda: x, lambda: x, fn2=lambda: x)
-        }
+        // NOTE: all other test python test cases of this class are either not needed due to strong typing or dest a deprecated api
 
     }
 }
Original file line number	Diff line number	Diff line change
`@@ -101,8 +101,8 @@ protected override Tensor call(Tensor inputs, Tensor training = null)`
`101`	`101`	`throw new NotImplementedException("call channels_first");`
`102`	`102`	`}`
`103`	`103`	`else`
`104`		`- {`
`105`		`- outputs = nn_ops.bias_add(outputs, bias, data_format: "NHWC");`
	`104`	`+ {`
	`105`	`+ outputs = nn_ops.bias_add(outputs, bias._AsTensor(), data_format: "NHWC");`
`106`	`106`	`}`
`107`	`107`	`}`
`108`	`108`
Original file line number	Diff line number	Diff line change
`@@ -30,7 +30,7 @@ public static Convolution Convolution(TensorShape input_shape,`
`30`	`30`	`/// <param name="name"></param>`
`31`	`31`	`/// <returns></returns>`
`32`	`32`	`public static Tensor bias_add(Tensor value,`
`33`		`- RefVariable bias,`
	`33`	`+ Tensor bias,`
`34`	`34`	`string data_format = null,`
`35`	`35`	`string name = null)`
`36`	`36`	`{`