GPU 跑03.image_classification报错，只修改了use_cuda=true；train.py跑正常

[mmglove]

EnforceNotMetTraceback (most recent call last)
<ipython-input-32-6590b82f66d8> in <module>()
----> 1 train_loop()

<ipython-input-31-373fd84903b7> in train_loop()
     28 
     29         avg_cost_test, accuracy_test = train_test(test_program,
---> 30                                                   reader=test_reader)
     31         plot_cost.append(test_prompt, step, avg_cost_test)
     32 

<ipython-input-30-4806cfbf43de> in train_test(program, reader)
     34         avg_cost_np = test_exe.run(program=program,
     35                                    feed=feeder_test.feed(test_data),
---> 36                                    fetch_list=[avg_cost, acc])
     37         accumulated = [x[0] + x[1][0] for x in zip(accumulated, avg_cost_np)]
     38         count += 1

/usr/local/lib/python2.7/dist-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: holder_ should not be null
Tensor holds no memory. Call Tensor::mutable_data first. at [/paddle/paddle/fluid/framework/tensor.cc:22]
PaddlePaddle Call Stacks: 
0       0x7f46f0ddebf2p paddle::platform::EnforceNotMet::EnforceNotMet(std::__exception_ptr::exception_ptr, char const*, int) + 482
1       0x7f46f2685f5fp paddle::framework::Tensor::check_memory_size() const + 207
2       0x7f46f0de9625p float const* paddle::framework::Tensor::data<float>() const + 21
3       0x7f46f163b73ep paddle::operators::BatchNormGradKernel<paddle::platform::CUDADeviceContext, float>::Compute(paddle::framework::ExecutionContext const&) const + 1822
4       0x7f46f163d040p std::_Function_handler<void (paddle::framework::ExecutionContext const&), paddle::framework::OpKernelRegistrarFunctor<paddle::platform::CUDAPlace, false, 0ul, paddle::operators::BatchNormGradKernel<paddle::platform::CUDADeviceContext, float>, paddle::operators::BatchNormGradKernel<paddle::platform::CUDADeviceContext, double>, paddle::operators::BatchNormGradKernel<paddle::platform::CUDADeviceContext, paddle::platform::float16> >::operator()(char const*, char const*, int) const::{lambda(paddle::framework::ExecutionContext const&)#1}>::_M_invoke(std::_Any_data const&, paddle::framework::ExecutionContext const&) + 32
5       0x7f46f2619bcap paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, boost::variant<paddle::platform::CUDAPlace, paddle::platform::CPUPlace, paddle::platform::CUDAPinnedPlace, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_> const&) const + 506
6       0x7f46f2615f4fp paddle::framework::OperatorBase::Run(paddle::framework::Scope const&, boost::variant<paddle::platform::CUDAPlace, paddle::platform::CPUPlace, paddle::platform::CUDAPinnedPlace, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_> const&) + 447
7       0x7f46f0eb34a7p paddle::framework::Executor::RunPreparedContext(paddle::framework::ExecutorPrepareContext*, paddle::framework::Scope*, bool, bool, bool) + 247
8       0x7f46f0eb3e15p paddle::framework::Executor::Run(paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool) + 117
9       0x7f46f0dcaaf2p
10      0x7f46f0e0739cp
11            0x4c5326p PyEval_EvalFrameEx + 37958
12            0x4b9b66p PyEval_EvalCodeEx + 774
13            0x4c17c6p PyEval_EvalFrameEx + 22758
14            0x4b9b66p PyEval_EvalCodeEx + 774
15            0x4c1f56p PyEval_EvalFrameEx + 24694
16            0x4b9b66p PyEval_EvalCodeEx + 774
17            0x4c1f56p PyEval_EvalFrameEx + 24694
18            0x4b9b66p PyEval_EvalCodeEx + 774
19            0x4bf7a2p PyEval_EvalFrameEx + 14530
20            0x4b9b66p PyEval_EvalCodeEx + 774
21            0x4c17c6p PyEval_EvalFrameEx + 22758
22            0x4b9b66p PyEval_EvalCodeEx + 774
23            0x4c17c6p PyEval_EvalFrameEx + 22758
24            0x4b9b66p PyEval_EvalCodeEx + 774
25            0x4d57a3p
26            0x4a587ep PyObject_Call + 62
27            0x4be51ep PyEval_EvalFrameEx + 9790
28            0x4b9b66p PyEval_EvalCodeEx + 774
29            0x4c1f56p PyEval_EvalFrameEx + 24694
30            0x4b9b66p PyEval_EvalCodeEx + 774
31            0x4c17c6p PyEval_EvalFrameEx + 22758
32            0x4b9b66p PyEval_EvalCodeEx + 774
33            0x4c1f56p PyEval_EvalFrameEx + 24694
34            0x4b9b66p PyEval_EvalCodeEx + 774
35            0x4c1f56p PyEval_EvalFrameEx + 24694
36            0x4b9b66p PyEval_EvalCodeEx + 774
37            0x4d57a3p
38            0x4a587ep PyObject_Call + 62
39            0x4be51ep PyEval_EvalFrameEx + 9790
40            0x4b9b66p PyEval_EvalCodeEx + 774
41            0x4d57a3p
42            0x4a587ep PyObject_Call + 62
43            0x4be51ep PyEval_EvalFrameEx + 9790
44            0x4b9b66p PyEval_EvalCodeEx + 774
45            0x4c1f56p PyEval_EvalFrameEx + 24694
46            0x4b9b66p PyEval_EvalCodeEx + 774
47            0x4c1f56p PyEval_EvalFrameEx + 24694
48            0x4b9b66p PyEval_EvalCodeEx + 774
49            0x4c1f56p PyEval_EvalFrameEx + 24694
50            0x4b9b66p PyEval_EvalCodeEx + 774
51            0x4d57a3p
52            0x4a587ep PyObject_Call + 62
53            0x4be51ep PyEval_EvalFrameEx + 9790
54            0x4b9b66p PyEval_EvalCodeEx + 774
55            0x4d5669p
56            0x4a587ep PyObject_Call + 62
57            0x53a183p
58            0x4c166dp PyEval_EvalFrameEx + 22413
59            0x4b9b66p PyEval_EvalCodeEx + 774
60            0x4c1f56p PyEval_EvalFrameEx + 24694
61            0x4b9b66p PyEval_EvalCodeEx + 774
62            0x4c1f56p PyEval_EvalFrameEx + 24694
63            0x4b9b66p PyEval_EvalCodeEx + 774
64            0x4c1f56p PyEval_EvalFrameEx + 24694
65            0x4b9b66p PyEval_EvalCodeEx + 774
66            0x4c17c6p PyEval_EvalFrameEx + 22758
67            0x4b9b66p PyEval_EvalCodeEx + 774
68            0x4bf7a2p PyEval_EvalFrameEx + 14530
69            0x4b9b66p PyEval_EvalCodeEx + 774
70            0x4c17c6p PyEval_EvalFrameEx + 22758
71            0x4b9b66p PyEval_EvalCodeEx + 774
72            0x4d5669p
73            0x4a587ep PyObject_Call + 62
74            0x51a866p
75            0x4939ccp Py_Main + 1612
76      0x7f47b97e3830p __libc_start_main + 240
77            0x493299p _start + 41

[ysh329]

EnforceNotMet: holder_ should not be null
Tensor holds no memory.

没有内存了，建议增大显存或者换更大显存的机器