rm scale for add

x2paddle/op_mapper/pytorch2paddle/prim2code.py

@@ -72,10 +72,15 @@ def prim_add_(layer,
               forward_func=[],
               layer_id=None,
               different_attrs=None):
-    line = "{} = {} + {} * {}".format(layer.outputs[0],
-                                      get_value(layer, "x", different_attrs),
-                                      layer.attrs["alpha"],
-                                      get_value(layer, "y", different_attrs))
+    if layer.attrs["alpha"] == 1:
+        line = "{} = {} + {}".format(layer.outputs[0],
+                                     get_value(layer, "x", different_attrs),
+                                     get_value(layer, "y", different_attrs))
+    else:
+        line = "{} = {} + {} * {}".format(
+            layer.outputs[0],
+            get_value(layer, "x", different_attrs), layer.attrs["alpha"],
+            get_value(layer, "y", different_attrs))
     forward_func.extend(gen_codes([line], indent=indent))
 
 

x2paddle/project_convertor/pytorch/torch2paddle/tensor.py

@@ -169,6 +169,9 @@ pd_reshape = partial(paddle.Tensor.reshape)
 
 @add_tensor_function
 def reshape(self, *shape):
+    # deal with list or tuple type
+    if isinstance(shape, (list, tuple)):
+        shape = shape[0]
     return pd_reshape(self, shape)