Ensure name and description are set in the exporter mask

tensorboard/uploader/uploader_subcommand.py

@@ -311,6 +311,8 @@ def execute(self, server_info, channel):
             channel
         )
         fieldmask = experiment_pb2.ExperimentMask(
+            name=True,
+            description=True,
             create_time=True,
             update_time=True,
             num_runs=True,

tensorboard/uploader/uploader_subcommand_test.py

@@ -20,10 +20,12 @@
 
 import tensorflow as tf
 
+from tensorboard.uploader.proto import experiment_pb2
 from tensorboard.uploader.proto import server_info_pb2
 from tensorboard.uploader.proto import write_service_pb2
 from tensorboard.uploader.proto import write_service_pb2_grpc
 from tensorboard.uploader import dry_run_stubs
+from tensorboard.uploader import exporter as exporter_lib
 from tensorboard.uploader import uploader as uploader_lib
 from tensorboard.uploader import uploader_subcommand
 from tensorboard.plugins.histogram import metadata as histograms_metadata
@@ -202,6 +204,31 @@ def testUploadIntentNonDryRunNonOneShotInterrupted(self):
             mock_stdout_write.call_args_list[-1][0][0],
         )
 
+    def testListIntentSetsExperimentMask(self):
+        mock_server_info = mock.MagicMock()
+        mock_channel = mock.MagicMock()
+        expected_mask = experiment_pb2.ExperimentMask(
+            name=True,
+            description=True,
+            create_time=True,
+            update_time=True,
+            num_runs=True,
+            num_tags=True,
+            num_scalars=True,
+            total_tensor_bytes=True,
+            total_blob_bytes=True,
+        )
+        with mock.patch.object(
+            exporter_lib,
+            "list_experiments",
+        ):
+            intent = uploader_subcommand._ListIntent()
+            intent.execute(mock_server_info, mock_channel)
+            actual_mask = exporter_lib.list_experiments.call_args[1][
+                "fieldmask"
+            ]
+            self.assertEquals(actual_mask, expected_mask)
+
 
 if __name__ == "__main__":
     tf.test.main()