Created by: zhouhoukui

aistudio里面的经典论文重现项目-SRCNN网络-超分辨率重建，在aistudio里面运行正常，在自己的电脑里面运行出现如下错误：（电脑配置16GB内存，ubuntu14.04系统，安装的paddlepaddle-gpu版，程序中没有使用GPU） 出错代码 model = SRCNN(0.01, 0.001, 50, 15) model.train() 错误信息：

EnforceNotMet                             Traceback (most recent call last)
<ipython-input-12-db2aa8951561> in <module>()
      1 model = SRCNN(0.01, 0.001, 50, 15)
----> 2 model.train()

<ipython-input-10-2f8b73fd4e30> in train(self)
     34         Optimizer = fluid.optimizer.AdamOptimizer(learning_rate=self.lr)
     35         Optimizer_f = fluid.optimizer.AdamOptimizer(learning_rate=self.lr_f)
---> 36         Optimizer.minimize(y_loss, parameter_list=['conv1_w','conv1_b', 'conv2_w', 'conv2_b'])
     37         Optimizer_f.minimize(y_loss, parameter_list=['pred_w', 'pred_b'])
     38 

/usr/local/anaconda2/lib/python2.7/site-packages/paddle/fluid/optimizer.pyc in minimize(self, loss, startup_program, parameter_list, no_grad_set)
    253         """
    254         params_grads = append_backward(loss, parameter_list, no_grad_set,
--> 255                                        [error_clip_callback])
    256 
    257         params_grads = sorted(params_grads, key=lambda x: x[0].name)

/usr/local/anaconda2/lib/python2.7/site-packages/paddle/fluid/backward.pyc in append_backward(loss, parameter_list, no_grad_set, callbacks)
    547 
    548     _append_backward_ops_(root_block, op_path, root_block, no_grad_dict,
--> 549                           grad_to_var, callbacks)
    550 
    551     # Because calc_gradient may be called multiple times,

/usr/local/anaconda2/lib/python2.7/site-packages/paddle/fluid/backward.pyc in _append_backward_ops_(block, ops, target_block, no_grad_dict, grad_to_var, callbacks)
    332         # Getting op's corresponding grad_op
    333         grad_op_desc, op_grad_to_var = core.get_grad_op_desc(
--> 334             op.desc, no_grad_dict[block.idx], grad_sub_block_list)
    335 
    336         grad_op_descs.extend(grad_op_desc)

EnforceNotMet: grad_op_maker_ should not be null
Operator GradOpMaker has not been registered. at [/paddle/paddle/fluid/framework/op_info.h:61]
PaddlePaddle Call Stacks: 
0       0x7f5ca40e9736p paddle::platform::EnforceNotMet::EnforceNotMet(std::__exception_ptr::exception_ptr, char const*, int) + 486
1       0x7f5ca40ebfe9p paddle::framework::OpInfo::GradOpMaker() const + 137
2       0x7f5ca40e5222p
3       0x7f5ca40f9604p pybind11::cpp_function::dispatcher(_object*, _object*, _object*) + 2596
4       0x7f5d0a54fcc4p PyEval_EvalFrameEx + 32020
5       0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
6       0x7f5d0a54e9b8p PyEval_EvalFrameEx + 27144
7       0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
8       0x7f5d0a54e9b8p PyEval_EvalFrameEx + 27144
9       0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
10      0x7f5d0a54e9b8p PyEval_EvalFrameEx + 27144
11      0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
12      0x7f5d0a54e9b8p PyEval_EvalFrameEx + 27144
13      0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
14      0x7f5d0a55170ap PyEval_EvalCode + 26
15      0x7f5d0a54dae0p PyEval_EvalFrameEx + 23344
16      0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
17      0x7f5d0a54e9b8p PyEval_EvalFrameEx + 27144
18      0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
19      0x7f5d0a54e9b8p PyEval_EvalFrameEx + 27144
20      0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
21      0x7f5d0a4da377p
22      0x7f5d0a4b57a3p PyObject_Call + 67
23      0x7f5d0a54a4bep PyEval_EvalFrameEx + 9486
24      0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
25      0x7f5d0a54e9b8p PyEval_EvalFrameEx + 27144
26      0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
27      0x7f5d0a54e9b8p PyEval_EvalFrameEx + 27144
28      0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
29      0x7f5d0a54e9b8p PyEval_EvalFrameEx + 27144
30      0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
31      0x7f5d0a54e9b8p PyEval_EvalFrameEx + 27144
32      0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
33      0x7f5d0a4da377p
34      0x7f5d0a4b57a3p PyObject_Call + 67
35      0x7f5d0a54a4bep PyEval_EvalFrameEx + 9486
36      0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
37      0x7f5d0a4da377p
38      0x7f5d0a4b57a3p PyObject_Call + 67
39      0x7f5d0a54a4bep PyEval_EvalFrameEx + 9486
40      0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
41      0x7f5d0a54e9b8p PyEval_EvalFrameEx + 27144
42      0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
43      0x7f5d0a54e9b8p PyEval_EvalFrameEx + 27144
44      0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
45      0x7f5d0a4da377p
46      0x7f5d0a4b57a3p PyObject_Call + 67
47      0x7f5d0a54a4bep PyEval_EvalFrameEx + 9486
48      0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
49      0x7f5d0a54e9b8p PyEval_EvalFrameEx + 27144
50      0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
51      0x7f5d0a54e9b8p PyEval_EvalFrameEx + 27144
52      0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
53      0x7f5d0a54e9b8p PyEval_EvalFrameEx + 27144
54      0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
55      0x7f5d0a54e9b8p PyEval_EvalFrameEx + 27144
56      0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
57      0x7f5d0a54e9b8p PyEval_EvalFrameEx + 27144
58      0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
59      0x7f5d0a55170ap PyEval_EvalCode + 26
60      0x7f5d0a54dae0p PyEval_EvalFrameEx + 23344
61      0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
62      0x7f5d0a54e9b8p PyEval_EvalFrameEx + 27144
63      0x7f5d0a5514e9p PyEval_EvalCodeEx + 2025
64      0x7f5d0a4da28ap
65      0x7f5d0a4b57a3p PyObject_Call + 67
66      0x7f5d0a57e280p
67      0x7f5d0a57e93ep Py_Main + 1374
68      0x7f5d0979af45p __libc_start_main + 245
69      0x5558b12f58bfp