sequence tagging 任务预估时报 Segmentation fault
Created by: AoZhang
具体日志如下:
I0216 19:12:13.527242 17281 GradientMachine.cpp:123] Loading parameters from output/model/pass-00009
[INFO 2017-02-16 19:12:13,539 dataprovider.py:236] num_sequences=90
I0216 19:12:15.992811 17281 Tester.cpp:257] Pass=0 samples=90 AvgCost=0 Eval: error=346.554 chunk_f1=0.759546 true_chunks=500 result_chunks=469 correct_chunks=368
*** Aborted at 1487243535 (unix time) try "date -d @1487243535" if you are using GNU date ***
PC: @ 0x7f206e5e3674 std::thread::join()
*** SIGSEGV (@0x0) received by PID 17281 (TID 0x7f206f28f780) from PID 0; stack trace: ***
@ 0x7f206ee69160 (unknown)
@ 0x7f206e5e3674 std::thread::join()
@ 0x6d6e6c paddle::DoubleBuffer::~DoubleBuffer()
@ 0x6d70a1 paddle::DoubleBuffer::~DoubleBuffer()
@ 0x6c5051 paddle::PyDataProvider2::~PyDataProvider2()
@ 0x59dfb9 std::_Sp_counted_base<>::_M_release()
@ 0x59e8bf paddle::Trainer::~Trainer()
@ 0x591f6d main
@ 0x7f206dc8ebd5 __libc_start_main
@ 0x59dbf5 (unknown)
/***/paddle/output/bin/paddle_local: line 109: 17281 Segmentation fault ${DEBUGGER} $MYDIR/../opt/paddle/bin/paddle_trainer ${@:2}
predict的网络配置跟sequence_tagging demo里的 rnn_crf.py完全一致(部分参数有修改),只是最后的输出改成了
outputs(crf_decoding)