Fix a bug where `train()` is called for all mode in dygraph

model.py

@@ -369,7 +369,7 @@ class DynamicGraphAdapter(object):
     def eval(self, inputs, labels, device='CPU', device_ids=None):
         assert self.model._loss_functions, \
             "model not ready, please call `model.prepare()` first"
-        super(Model, self.model).train()
+        super(Model, self.model).eval()
         self.mode = 'eval'
         inputs = to_list(inputs)
         labels = to_list(labels)
@@ -379,7 +379,7 @@ class DynamicGraphAdapter(object):
             [to_numpy(l) for l in losses]
 
     def test(self, inputs, device='CPU', device_ids=None):
-        super(Model, self.model).train()
+        super(Model, self.model).eval()
         self.mode = 'test'
         inputs = [to_variable(x) for x in to_list(inputs)]
         outputs = self.model.forward(*inputs)