fix bug in paddle1.8.3

x2paddle/op_mapper/tf_op_mapper_nhwc.py

@@ -333,16 +333,15 @@ class TFOpMapperNHWC(OpMapper):
             "dilation": dilations[2:4],
             "padding": string(pad_mode)
         }
-
         if hasattr(node, 'dilation') and attr['dilation'] == [1, 1]:
             if len(node.dilation) == 1:
                 attr['dilation'] = [1, node.dilation[0]]
-                
+
         if c == -1:
             reshape_attr = {"shape": [0, k_size[2], 0, 0]}
             node.fluid_code.add_layer(
                 "reshape", inputs=input, output=input, param_attr=reshape_attr)
-                
+
         node.fluid_code.add_layer(
             "conv2d", inputs=input, output=node, param_attr=attr)
         if not channel_first:
@@ -759,6 +758,7 @@ class TFOpMapperNHWC(OpMapper):
             begin = begin.value.tolist()
         else:
             begin = self.decoder.infer_tensor(begin).tolist()
+
 #             shape = begin.out_shapes[0]
 #             attr = {"shape": shape}
 #             node.fluid_code.add_layer(
@@ -1101,4 +1101,3 @@ class TFOpMapperNHWC(OpMapper):
             output = "{}[{}]".format(node.layer_name, i)
             node.fluid_code.add_layer(
                 "data", inputs=None, output=output, param_attr=attr)
-

x2paddle/optimizer/tf_optimizer.py

@@ -863,7 +863,7 @@ class TFOptimizer(object):
                     weight = numpy.expand_dims(weight, 2)
                     weight = numpy.expand_dims(weight, 3)
                     self.op_mapper.weights[in_nodes3[0].layer_name] = weight
-                    # fix bug in Paddle1.8.3 and may change in next version
+                    # fix bug in Paddle1.8.3 and may change in next version.
                     self.op_mapper.weights[in_nodes3[0].layer_name +
                                            '_1'] = weight.reshape(1, -1)
                     in_nodes3[0].fluid_code.layers[0].param_attr["shape"] = [