remove name in ParamAttr, test=develop (#4228)

dygraph/cycle_gan/layers.py

@@ -40,7 +40,7 @@ class conv2d(fluid.dygraph.Layer):
         if use_bias == False:
             con_bias_attr = False
         else:
-            con_bias_attr = fluid.ParamAttr(name="conv_bias",initializer=fluid.initializer.Constant(0.0))
+            con_bias_attr = fluid.ParamAttr(initializer=fluid.initializer.Constant(0.0))
 
         self.conv = Conv2D(
             num_channels=num_channels,
@@ -50,17 +50,14 @@ class conv2d(fluid.dygraph.Layer):
             padding=padding,
             use_cudnn=use_cudnn,
             param_attr=fluid.ParamAttr(
-                name="conv2d_weights",
                 initializer=fluid.initializer.NormalInitializer(loc=0.0,scale=stddev)),
             bias_attr=con_bias_attr)
         if norm:
             self.bn = BatchNorm(
                 num_channels=num_filters,
                 param_attr=fluid.ParamAttr(
-                    name="scale",
                     initializer=fluid.initializer.NormalInitializer(1.0,0.02)),
                 bias_attr=fluid.ParamAttr(
-                    name="bias",
                     initializer=fluid.initializer.Constant(0.0)),
                 trainable_statistics=True
                 )
@@ -99,7 +96,7 @@ class DeConv2D(fluid.dygraph.Layer):
         if use_bias == False:
             de_bias_attr = False
         else:
-            de_bias_attr = fluid.ParamAttr(name="de_bias",initializer=fluid.initializer.Constant(0.0))
+            de_bias_attr = fluid.ParamAttr(initializer=fluid.initializer.Constant(0.0))
 
         self._deconv = Conv2DTranspose(num_channels,
                                        num_filters,
@@ -107,7 +104,6 @@ class DeConv2D(fluid.dygraph.Layer):
                                        stride=stride,
                                        padding=padding,
                                        param_attr=fluid.ParamAttr(
-                                           name="this_is_deconv_weights",
                                            initializer=fluid.initializer.NormalInitializer(loc=0.0, scale=stddev)),
                                        bias_attr=de_bias_attr)
 
@@ -117,9 +113,8 @@ class DeConv2D(fluid.dygraph.Layer):
             self.bn = BatchNorm(
                 num_channels=num_filters,
                 param_attr=fluid.ParamAttr(
-                    name="de_wights",
                     initializer=fluid.initializer.NormalInitializer(1.0, 0.02)),
-                bias_attr=fluid.ParamAttr(name="de_bn_bias",initializer=fluid.initializer.Constant(0.0)),
+                bias_attr=fluid.ParamAttr(initializer=fluid.initializer.Constant(0.0)),
                 trainable_statistics=True)        
         self.outpadding = outpadding
         self.relufactor = relufactor