fix tensor conversion in static mode with dali loader

ppcls/data/dataloader/dali.py

@@ -142,13 +142,18 @@ class HybridValPipe(Pipeline):
 
 
 class DALIImageNetIterator(DALIGenericIterator):
+    def __init__(self, *kargs, **kwargs):
+        super(DALIImageNetIterator, self).__init__(*kargs, **kwargs)
+        self.in_dynamic_mode = paddle.in_dynamic_mode()
+
     def __next__(self) -> List[paddle.Tensor]:
         data_batch = super(DALIImageNetIterator,
                            self).__next__()  # List[Dict[str, Tensor], ...]
-
         # reformat to List[Tensor1, Tensor2, ...]
         data_batch = [
-            paddle.to_tensor(data_batch[0][key]) for key in self.output_map
+            paddle.to_tensor(data_batch[0][key])
+            if self.in_dynamic_mode else data_batch[0][key]
+            for key in self.output_map
         ]
         return data_batch
 

ppcls/static/program.py

@@ -386,15 +386,11 @@ def run(dataloader,
 
         profiler.add_profiler_step(profiler_options)
 
-        if use_dali:
-            batch_size = batch[0]["data"].shape()[0]
-            feed_dict = batch[0]
-        else:
-            batch_size = batch[0].shape()[0]
-            feed_dict = {
-                key.name: batch[idx]
-                for idx, key in enumerate(feeds.values())
-            }
+        batch_size = batch[0].shape()[0]
+        feed_dict = {
+            key.name: batch[idx]
+            for idx, key in enumerate(feeds.values())
+        }
 
         metrics = exe.run(program=program,
                           feed=feed_dict,