Created by: xiangyubo

• 版本、环境信息：    1）PaddlePaddle版本：1.2    4）系统环境：python 2.7
• 训练信息    1）单机/单卡   我训练的过程中用 save_persistables 保存的模型，然后程序停止了，我第二次运行程序的时候，我用 load_persistables 方式加载模型，然后训练的时候报错。说优化器MomentumOp的维度不一致

EnforceNotMetTraceback (most recent call last)<ipython-input-1-0317d6de6533> in <module>()
    649         total_batch_count += 1
    650         t1 = time.time()
--> 651         loss = exe.run(train_program, feed=feeder.feed(data), fetch_list=train_fetch_list)
    652         period = time.time() - t1
    653         loss = np.mean(np.array(loss))
/opt/conda/envs/py27-paddle1.2.0/lib/python2.7/site-packages/paddle/fluid/executor.pyc in run(self, program, feed, fetch_list, feed_var_name, fetch_var_name, scope, return_numpy, use_program_cache)
    470 
    471         self._feed_data(program, feed, feed_var_name, scope)
--> 472         self.executor.run(program.desc, scope, 0, True, True)
    473         outs = self._fetch_data(fetch_list, fetch_var_name, scope)
    474         if return_numpy:
EnforceNotMet: Enforce failed. Expected param_dim == ctx->GetInputDim("Velocity"), but received param_dim:32 != ctx->GetInputDim("Velocity"):21, 1.
Param and Velocity of MomentumOp should have the same dimension. at [/paddle/paddle/fluid/operators/optimizers/momentum_op.h:64]
PaddlePaddle Call Stacks: 
0       0x7f70fa297826p paddle::platform::EnforceNotMet::EnforceNotMet(std::__exception_ptr::exception_ptr, char const*, int) + 486
1       0x7f70fb30ade9p paddle::operators::MomentumOp::InferShape(paddle::framework::InferShapeContext*) const + 1945