fix hardsigmoid/hardswish (#607) (#628)

demo/dygraph/quant/mobilenet_v3.py

@@ -213,7 +213,7 @@ class ConvBNLayer(nn.Layer):
             if self.act == "relu":
                 x = F.relu(x)
             elif self.act == "hard_swish":
-                x = hard_swish(x)
+                x = paddle.nn.functional.activation.hardswish(x)
             else:
                 print("The activation function is selected incorrectly.")
                 exit()

paddleslim/dygraph/quant/quanter.py

@@ -235,6 +235,8 @@ class QAT(object):
             quantizable_layer_type=self.config['quantizable_layer_type'])
 
         with paddle.utils.unique_name.guard():
+            if hasattr(model, "_layers"):
+                model = model._layers
             model.__init__()
             self.imperative_qat.quantize(model)
             state_dict = model.state_dict()