can't compile.

src/TensorFlowNET.Core/Operations/Losses/losses_impl.py.cs

@@ -2,9 +2,26 @@
 using System.Collections.Generic;
 using System.Text;
 
-namespace Tensorflow.Operations.Losses
+namespace Tensorflow
 {
-    class losses_impl
+    public class LossesImpl : Python
     {
+        public Tensor sparse_softmax_cross_entropy(Tensor labels, 
+            Tensor logits,
+            float weights = 1.0f,
+            string scope = "",
+            string loss_collection= "losses")
+        {
+            with<ops.name_scope>(new ops.name_scope(scope,
+                "sparse_softmax_cross_entropy_loss",
+                (logits, labels, weights)),
+                namescope =>
+                {
+
+
+                });
+
+            throw new NotImplementedException("sparse_softmax_cross_entropy");
+        }
     }
 }

src/TensorFlowNET.Core/Operations/Losses/tf.loss.cs

@@ -0,0 +1,11 @@
+using System;
+using System.Collections.Generic;
+using System.Text;
+
+namespace Tensorflow
+{
+    public static partial class tf
+    {
+        public static LossesImpl losses => new LossesImpl();
+    }
+}

src/TensorFlowNET.Core/ops.GraphKeys.cs

@@ -22,6 +22,11 @@ namespace Tensorflow
             /// </summary>
             public static string TRAINABLE_VARIABLES = "trainable_variables";
 
+            /// <summary>
+            /// Key to collect losses
+            /// </summary>
+            public static string LOSSES = "losses";
+
             /// <summary>
             /// Key to collect Variable objects that are global (shared across machines).
             /// Default collection for all variables, except local ones.

test/TensorFlowNET.Examples/MetaGraph.cs

@@ -20,9 +20,9 @@ namespace TensorFlowNET.Examples
                 new_saver.restore(sess, dir + "my-model-10000");
                 var labels = tf.constant(0, dtype: tf.int32, shape: new int[] { 100 }, name: "labels");
                 var batch_size = tf.size(labels);
-                var logits = (tf.get_collection("logits") as List<ITensorOrOperation>)[0];
-                var loss = tf.losses.sparse_softmax_cross_entropy(labels = labels,
-                                                logits = logits);
+                var logits = (tf.get_collection("logits") as List<ITensorOrOperation>)[0] as Tensor;
+                var loss = tf.losses.sparse_softmax_cross_entropy(labels: labels,
+                                                logits: logits);
             });
         }
     }