基于paddle框架生成python代码：要求能够实现模型的参数和优化器参数的保存及加载

import paddle
import paddle.nn as nn
import paddle.optimizer as optim

class MyModel(nn.Layer):
def __init__(self):
super(MyModel, self).__init__()
self.linear = nn.Linear(10, 1)

def forward(self, x):
x = self.linear(x)
return x

model = MyModel()

# 保存模型参数
paddle.save(model.state_dict(), 'model.pdparams')

# 保存优化器参数
optimizer = optim.Adam(learning_rate=0.001, parameters=model.parameters())
paddle.save(optimizer.state_dict(), 'optimizer.pdopt')

# 加载模型参数
state_dict = paddle.load('model.pdparams')
model.set_state_dict(state_dict)

# 加载优化器参数
optimizer = optim.Adam(learning_rate=0.001, parameters=model.parameters())
state_dict = paddle.load('optimizer.pdopt')
optimizer.set_state_dict(state_dict)