dataset_sink_mode is supported in model.eval() and not in model.train() in pynative mode

mindspore/train/model.py

@@ -206,6 +206,8 @@ class Model:
                                      function respectively.
             callbacks (list): List of callback object. Callbacks which should be executed while training. Default: None.
             dataset_sink_mode (bool): Determines whether to pass the data through dataset channel. Default: True.
+                                      Configure pynative mode, the training process will be performed with
+                                      dataset not sink.
         """
         epoch = check_int_positive(epoch)
         self._train_network.set_train()
@@ -227,8 +229,13 @@ class Model:
         cb_params.train_dataset = train_dataset
         cb_params.list_callback = list_callback
 
-        if dataset_sink_mode and context.get_context("mode") == context.GRAPH_MODE:
-            self._train_dataset_sink_process(epoch, train_dataset, list_callback, cb_params)
+        if dataset_sink_mode:
+            if context.get_context("mode") == context.PYNATIVE_MODE:
+                logger.warning("The pynative mode cannot support dataset sink mode currently."
+                               "So the training process will be performed with dataset not sink.")
+                self._train_process(epoch, train_dataset, list_callback, cb_params)
+            else:
+                self._train_dataset_sink_process(epoch, train_dataset, list_callback, cb_params)
         else:
             self._train_process(epoch, train_dataset, list_callback, cb_params)
 
@@ -349,7 +356,7 @@ class Model:
         """
         Training API where the iteration is controlled by python front-end.
 
-        Configure to pynative mode, the training will be performed with dataset non-sink mode.
+        When setting pynative mode, the training process will be performed with dataset not sink.
 
         Note:
             CPU is not supported when dataset_sink_mode is true.
@@ -363,6 +370,8 @@ class Model:
                                      function respectively.
             callbacks (list): List of callback object. Callbacks which should be excuted while training. Default: None.
             dataset_sink_mode (bool): Determines whether to pass the data through dataset channel. Default: True.
+                                      Configure pynative mode, the training process will be performed with
+                                      dataset not sink.
 
 
         Examples:
@@ -508,7 +517,7 @@ class Model:
 
         self._clear_metrics()
 
-        if dataset_sink_mode and context.get_context("mode") == context.GRAPH_MODE:
+        if dataset_sink_mode:
             return self._eval_dataset_sink_process(valid_dataset, list_callback, cb_params)
         return self._eval_process(valid_dataset, list_callback, cb_params)