Created by: xuzhenglei1991

之前用的paddle1.2版本进行的训练，但是速度太慢，故改成多cpu的训练方式，由于paddle1.2调用多cpu的时候报错，具体错误为：

File "python/train_multi_cpu.py", line 397, in train
    feed=feeder.feed(full_batch))
  File "/home/disk7/paddle_release_home/python/lib/python2.7/site-packages/paddle/fluid/parallel_executor.py", line 247, in run
    feed_tensor_dict)
paddle.fluid.core.EnforceNotMet: Enforce failed. Expected member_->places_.size() == lod_tensors.size(), but received member_->places_.size():48 != lod_tensors.size():40.
The number of samples of current batch is less than the count of devices, currently, it is not allowed. (48 vs 40) at [/paddle/paddle/fluid/framework/parallel_executor.cc:314]
PaddlePaddle Call Stacks:
0       0x7f96bfe40986p paddle::platform::EnforceNotMet::EnforceNotMet(std::__exception_ptr::exception_ptr, char const*, int) + 486
1       0x7f96bff2ec4ep paddle::framework::ParallelExecutor::FeedAndSplitTensorIntoLocalScopes(std::unordered_map<std::string, paddle::framework::LoDTensor, std::hash<std::string>, std::equal_to<std::string>, std::allocator<std::pair<std::string const, paddle::framework::LoDTensor> > > const&) + 1118
2       0x7f96bfe8e7f1p
3       0x7f96bfe7a7c0p
4       0x7f974c3d9bb8p PyEval_EvalFrameEx + 25016
5       0x7f974c3dd0bdp PyEval_EvalCodeEx + 2061
6       0x7f974c3da345p PyEval_EvalFrameEx + 26949
7       0x7f974c3da460p PyEval_EvalFrameEx + 27232
8       0x7f974c3dd0bdp PyEval_EvalCodeEx + 2061
9       0x7f974c3dd1f2p PyEval_EvalCode + 50
10      0x7f974c405f42p PyRun_FileExFlags + 146
11      0x7f974c4072d9p PyRun_SimpleFileExFlags + 217
12      0x7f974c41d00dp Py_Main + 3149
13      0x7f974b61abd5p __libc_start_main + 245
14            0x4007a1p

故改成paddle1.5进行训练

这样又遇到一个问题，预测的代码是C++ paddle1.2.0_pb32版本的 load模型的时候会报core，堆栈信息如下：

(gdb) bt
#0  0x00007ffc829783f7 in raise () from /opt/compiler/gcc-4.8.2/lib/libc.so.6
#1  0x00007ffc829797d8 in abort () from /opt/compiler/gcc-4.8.2/lib/libc.so.6
#2  0x00007ffc83268c65 in __gnu_cxx::__verbose_terminate_handler () at ../../../../libstdc++-v3/libsupc++/vterminate.cc:95
#3  0x00007ffc83266e06 in __cxxabiv1::__terminate (handler=<optimized out>) at ../../../../libstdc++-v3/libsupc++/eh_terminate.cc:38
#4  0x00007ffc83266e33 in std::terminate () at ../../../../libstdc++-v3/libsupc++/eh_terminate.cc:48
#5  0x00007ffc83267052 in __cxxabiv1::__cxa_throw (obj=0x7ffc740319b0, tinfo=0x1785710 <typeinfo for paddle::platform::EnforceNotMet>, dest=
    0x64ddb4 <paddle::platform::EnforceNotMet::~EnforceNotMet()>) at ../../../../libstdc++-v3/libsupc++/eh_throw.cc:87
#6  0x000000000077c5f4 in paddle::framework::ExtractAttribute<std::vector<int, std::allocator<int> > >::operator()(boost::variant<boost::blank, int, float, std::string, std::vector<int, std::allocator<int> >, std::vector<float, std::allocator<float> >, std::vector<std::string, std::allocator<std::string> >, bool, std::vector<bool, std::allocator<bool> >, paddle::framework::BlockDesc*, long, std::vector<paddle::framework::BlockDesc*, std::allocator<paddle::framework::BlockDesc*> >, std::vector<long, std::allocator<long> > >&) const ()
#7  0x00000000007801cf in paddle::framework::TypedAttrChecker<std::vector<int, std::allocator<int> > >::operator()(std::unordered_map<std::string, boost::variant<boost::blank, int, float, std::string, std::vector<int, std::allocator<int> >, std::vector<float, std::allocator<float> >, std::vector<std::string, std::allocator<std::string> >, bool, std::vector<bool, std::allocator<bool> >, paddle::framework::BlockDesc*, long, std::vector<paddle::framework::BlockDesc*, std::allocator<paddle::framework::BlockDesc*> >, std::vector<long, std::allocator<long> > >, std::hash<std::string>, std::equal_to<std::string>, std::allocator<std::pair<std::string const, boost::variant<boost::blank, int, float, std::string, std::vector<int, std::allocator<int> >, std::vector<float, std::allocator<float> >, std::vector<std::string, std::allocator<std::string> >, bool, std::vector<bool, std::allocator<bool> >, paddle::framework::BlockDesc*, long, std::vector<paddle::framework::BlockDesc*, std::allocator<paddle::framework::BlockDesc*> >, std::vector<long, std::allocator<long> > > > > >*) const ()
#8  0x000000000067a959 in paddle::framework::OpRegistry::CreateOp(std::string const&, std::map<std::string, std::vector<std::string, std::allocator<std::string> >, std::less<std::string>, std::allocator<std::pair<std::string const, std::vector<std::string, std::allocator<std::string> > > > > const&, std::map<std::string, std::vector<std::string, std::allocator<std::string> >, std::less<std::string>, std::allocator<std::pair<std::string const, std::vector<std::string, std::allocator<std::string> > > > > const&, std::unordered_map<std::string, boost::variant<boost::blank, int, float, std::string, std::vector<int, std::allocator<int> >, std::vector<float, std::allocator<float> >, std::vector<std::string, std::allocator<std::string> >, bool, std::vector<bool, std::allocator<bool> >, paddle::framework::BlockDesc*, long, std::vector<paddle::framework::BlockDesc*, std::allocator<paddle::framework::BlockDesc*> >, std::vector<long, std::allocator<long> > >, std::hash<std::string>, std::equal_to<std::string>, std::allocator<std::pair<std::string const, boost::variant<boost::blank, int, float, std::string, std::vector<int, std::allocator<int> >, std::vector<float, std::allocator<float> >, std::vector<std::string, std::allocator<std::string> >, bool, std::vector<bool, std::allocator<bool> >, paddle::framework::BlockDesc*, long, std::vector<paddle::framework::BlockDesc*, std::allocator<paddle::framework::BlockDesc*> >, std::vector<long, std::allocator<long> > > > > >) ()
#9  0x000000000067aae3 in paddle::framework::OpRegistry::CreateOp(paddle::framework::OpDesc const&) ()
#10 0x0000000000653194 in paddle::framework::Executor::Prepare(paddle::framework::ProgramDesc const&, int, std::vector<std::string, std::allocator<std::string> > const&) ()
#11 0x000000000063b67e in visionary::lac::MainTagger::create_buff (this=0x19f0b00, buff=0x7ffc740008c0) at baidu/visionary/lac/src/main_tagger.cpp:100
#12 0x00000000006330ab in visionary::lac::Lac::create_buff (this=0x19f09d0) at baidu/visionary/lac/src/lac.cpp:107
#13 0x000000000062ef13 in visionary::lac::lac_buff_create (lac_handle=0x19f09d0) at baidu/visionary/lac/src/ilac.cpp:43
#14 0x0000000000629f3f in tagging (max_result_num=1000) at baidu/visionary/lac/tools/lac_class_demo.cpp:135
#15 0x000000000062a5b9 in thread_worker (arg=0x7fffa242eaf0) at baidu/visionary/lac/tools/lac_class_demo.cpp:205

辛苦看下如何解决这个问题。更换训练维paddle1.2的多cpu训练接口？还是更换预测库的维paddle1.5_pb32的呢？