fluid1.5 采用paddlecloud 集群训练后 将模型数据文件下载到本地 用线上c++加载报错
Created by: lizhiqings
terminate called after throwing an instance of 'paddle::platform::EnforceNotMet'
what(): Cannot get attribute height_sections by type std::vector<int, std::allocator >, its type is std::vector<long, std::allocator > at [baidu/paddlepaddle/paddle/paddle/fluid/framework/attribute.h:42]
PaddlePaddle Call Stacks:
0 0xa01c87p
1 0xa03395p
2 0xad740ep
3 0xadb334p
4 0x13e12f1p
5 0x13e1460p
6 0x13b3879p
7 0xa089e9p
8 0xa095b4p
9 0xa09d01p
10 0x745513p
11 0x749d51p
12 0x74ae49p rankdnn_para_fluid_deepfm_reloader_v1(char const*, RankDnnBatchFluidDeepFmParaV1*&) + 121
13 0x6e963ep
14 0x6de6b4p
15 0x6e4c18p
16 0x14b2321p
17 0x14b2a29p RunTaskOnMultiThread(void*) + 9
18 0x2d3fa0ap bthread::TaskGroup::task_runner(long) + 266
19 0x2d37121p
* Aborted at 1573455484 (unix time) try "date -d @1573455484" if you are using GNU date *
PC: @ 0x0 (unknown)
* SIGABRT (@0x1f4000037bf) received by PID 14271 (TID 0x7ffb032f9700) from PID 14271; stack trace: *
@ 0x7ffb62ffe160 (unknown)
@ 0x7ffb4d9793f7 __GI_raise
@ 0x7ffb4d97a7d8 __GI_abort
@ 0x7ffb4e269c65 __gnu_cxx::__verbose_terminate_handler()
@ 0x7ffb4e267e06 __cxxabiv1::__terminate()
@ 0x7ffb4e267e33 std::terminate()
@ 0x7ffb4e268052 __cxa_throw
@ 0xad7483 _ZNK6paddle9framework16ExtractAttributeISt6vectorIiSaIiEEEclERN5boost7variantINS6_5blankEJifSsS4_S2_IfSaIfEES2_ISsSaISsEEbS2_IbSaIbEEPNS0_9BlockDescElS2_ISG_SaISG_EES2_IlSaIlEEEEE
@ 0xadb334 _ZNK6paddle9framework16TypedAttrCheckerISt6vectorIiSaIiEEEclEPSt13unordered_mapISsN5boost7variantINS7_5blankEJifSsS4_S2_IfSaIfEES2_ISsSaISsEEbS2_IbSaIbEEPNS0_9BlockDescElS2_ISH_SaISH_EES2_IlSaIlEEEEESt4hashISsESt8equal_toISsESaISt4pairIKSsSM_EEE
@ 0x13e12f1 paddle::framework::OpRegistry::CreateOp()
@ 0x13e1460 paddle::framework::OpRegistry::CreateOp()
@ 0x13b3879 paddle::framework::Executor::Prepare()
@ 0xa089e9 paddle::NativePaddlePredictor::Init()
@ 0xa095b4 paddle::CreatePaddlePredictor<>()
@ 0xa09d01 paddle::CreatePaddlePredictor<>()
@ 0x745513 RankDnnBatchFluidDeepFmParaV1::_init_predict_machines()
@ 0x749d51 RankDnnBatchFluidDeepFmParaV1::init()
@ 0x74ae49 rankdnn_para_fluid_deepfm_reloader_v1()
@ 0x6e963e wsy::HotLoader<>::reload()
@ 0x6de6b4 _ZNSt17_Function_handlerIFvvEZN13HotCollection11Global_InitEvEUlvE16_E9_M_invokeERKSt9_Any_data
@ 0x6e4c18 HotObjectLoadThread::run()
@ 0x14b2321 RunTask()
@ 0x14b2a29 RunTaskOnMultiThread()
@ 0x2d3fa0a bthread::TaskGroup::task_runner()
@ 0x2d37121 bthread_make_fcontext
