diff --git a/src/mindspore2022/mindspore/python/mindspore/_extends/graph_kernel/expanders/fused_adam_weight_decay.py b/src/mindspore2022/mindspore/python/mindspore/_extends/graph_kernel/expanders/fused_adam_weight_decay.py
index 53598068..47dcbce1 100644
--- a/src/mindspore2022/mindspore/python/mindspore/_extends/graph_kernel/expanders/fused_adam_weight_decay.py
+++ b/src/mindspore2022/mindspore/python/mindspore/_extends/graph_kernel/expanders/fused_adam_weight_decay.py
@@ -21,27 +21,54 @@ class FusedAdamWeightDecay(Expander):
     """FusedAdamWeightDecay expander"""
 
     def _expand(self, graph_builder):
+        """
+        对输入参数进行梯度下降更新。
+
+        Args:
+            graph_builder (GraphBuilder): 图构建器对象，用于在图中添加节点。
+
+        Returns:
+            ParaResult: 更新后的参数结果节点。
+
+        """
         beta_1, one_sub_beta_1, beta_2, one_sub_beta_2, eps, lr, param, m, v, gradient, weight_decay = self.inputs
 
         # compute result
+        # 计算beta_1和m的乘积
         beta_1_mul_m = graph_builder.emit('Mul', [beta_1, m])
+        # 计算one_sub_beta_1和gradient的乘积
         one_sub_beta_1_mul_grad = graph_builder.emit('Mul', [one_sub_beta_1, gradient])
+        # 计算next_m
         next_m = graph_builder.emit('Add', [beta_1_mul_m, one_sub_beta_1_mul_grad])
+        # 计算beta_2和v的乘积
         beta_2_mul_v = graph_builder.emit('Mul', [beta_2, v])
+        # 计算gradient的平方
         grad_square = graph_builder.emit('Mul', [gradient, gradient])
+        # 计算one_sub_beta_2和grad_square的乘积
         one_sub_beta_2_mul_grad_square = graph_builder.emit('Mul', [one_sub_beta_2, grad_square])
+        # 计算next_v
         next_v = graph_builder.emit('Add', [beta_2_mul_v, one_sub_beta_2_mul_grad_square])
+        # 计算sqrt_next_v
         sqrt_next_v = graph_builder.emit('Sqrt', [next_v])
+        # 计算sqrt_next_v和eps的和
         sqrt_next_v_add_eps = graph_builder.emit('Add', [sqrt_next_v, eps])
+        # 计算update
         update = graph_builder.emit('RealDiv', [next_m, sqrt_next_v_add_eps])
+        # 计算param_with_weight_decay
         param_with_weight_decay = graph_builder.emit('Mul', [weight_decay, param])
+        # 计算update和param_with_weight_decay的和
         update = graph_builder.emit('Add', [update, param_with_weight_decay])
+        # 计算update_with_lr
         update_with_lr = graph_builder.emit('Mul', [lr, update])
+        # 计算next_para
         next_para = graph_builder.emit('Sub', [param, update_with_lr])
 
+        # 将next_para赋值给param
         para_result = graph_builder.emit(
             'InplaceAssign', [param, next_para, next_para], attrs={'fake_output': True})
+        # 将next_m赋值给m
         para_result = graph_builder.emit('InplaceAssign', [m, next_m, para_result], attrs={'fake_output': True})
+        # 将next_v赋值给v
         para_result = graph_builder.emit('InplaceAssign', [v, next_v, para_result], attrs={'fake_output': True})
 
         return para_result