Support PyTorch InstanceNorm2d op (#638)

* Add pytorch LeakyRelu op

* fix pytorch InstanceNorm op

* update paddle code format

x2paddle/op_mapper/pytorch2paddle/aten.py

@@ -2637,7 +2637,7 @@ def aten_instance_norm(mapper, graph, node):
     # 处理输入1，即%88
     if inputs_name[1] in mapper.pytorch_params:
         weights = mapper.pytorch_params[inputs_name[1]]
-        mapper.paddle_params[op_name + ".weight"] = weights
+        mapper.paddle_params[op_name + ".scale"] = weights
         layer_attrs['num_features'] = weights.shape[0]
     # 处理输入2，即%85
     if inputs_name[2] in mapper.pytorch_params:
@@ -2888,6 +2888,42 @@ def aten_leaky_relu_(mapper, graph, node):
     return current_inputs, current_outputs
 
 
+def aten_leaky_relu(mapper, graph, node):
+    """ 构造leaky relu激活的PaddleLayer。
+    TorchScript示例:
+        %input.117 : Tensor = aten::leaky_relu(%input.114, %1570)
+        参数含义:
+        %input.117 (Tensor): 输出，leaky relu后的结果。
+        %input.114 (Tensor): 需要leaky relu的Tensor。
+        %1570 (float): 输入中的元素小于0时的斜率。
+    """
+    scope_name = mapper.normalize_scope_name(node)
+    op_name = name_generator("leakly_relu", mapper.nn_name2id)
+    output_name = mapper._get_outputs_name(node)[0]
+    layer_outputs = [op_name, output_name]
+    layer_inputs = {}
+    layer_attrs = {}
+    inputs_name, inputs_node = mapper._get_inputs_name(node)
+    # 获取当前节点输出的list
+    current_outputs = [output_name]
+    # 处理输入0，即%result.5
+    mapper._check_input(graph, inputs_node[0], inputs_name[0], current_outputs,
+                        scope_name)
+    layer_inputs["x"] = inputs_name[0]
+    # 获取当前节点输入、输出的list
+    current_inputs = list(layer_inputs.values())
+    # 处理输入1，即%1570
+    layer_attrs["negative_slope"] = mapper.attrs[inputs_name[1]]
+
+    graph.add_layer(
+        "paddle.nn.LeakyReLU",
+        inputs=layer_inputs,
+        outputs=layer_outputs,
+        scope_name=scope_name,
+        **layer_attrs)
+    return current_inputs, current_outputs
+
+
 def aten_len(mapper, graph, node):
     """ 构造获取list长度的PaddleLayer。
     TorchScript示例:

x2paddle/optimizer/pytorch_code_optimizer/layer_code_generator.py

@@ -263,7 +263,7 @@ def gen_layer_code(graph, sub_layers, sub_layers_name, different_attrs=dict()):
                 layer.kernel.startswith("custom_layer"):
             line = "self.{}".format(layer.outputs[0])
             if layer.kernel.startswith("custom_layer"):
-                line += "= x2paddle_nn.{}(".format(layer.kernel.split(":")[-1])
+                line += " = x2paddle_nn.{}(".format(layer.kernel.split(":")[-1])
             else:
                 line += " = {}(".format(layer.kernel)
             for k, v in layer.attrs.items():