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I am using Debin to train a CRF via py/train_crf.py and I get a segfault in Nice2Predict. Nice2Predict software library versions are from the Debin docker image.
Calling Nice2Predict/bazel-bin/n2p/training/train_json --input 128_kfold_10/1/crf/feature.json --log_dir 128_kfold_10/1/crf --valid_labels c_valid_labels --out_model 128_kfold_10/1/crf/x86_64/ --num_threads 8 --training_method pl --max_labels_z 8
*** Aborted at 1564576336 (unix time) try "date -d @1564576336" if you are using GNU date ***
PC: @ 0x7f02e7c946f8 fwrite
*** SIGSEGV (@0x0) received by PID 206441 (TID 0x7f02e9115880) from PID 0; stack trace: ***
@ 0x7f02e8ad1390 (unknown)
@ 0x7f02e7c946f8 fwrite
@ 0x45b6cf GraphInference::SaveModel()
@ 0x410e25 LearningMain<>()
@ 0x40d97a main
@ 0x7f02e7c46830 __libc_start_main
@ 0x40d4a9 _start
@ 0x0 (unknown)
Segmentation fault (core dumped)
The same segfault happens using a single thread. The feature.json file I am using can be found here.
The text was updated successfully, but these errors were encountered:
I am using Debin to train a CRF via
py/train_crf.py
and I get a segfault in Nice2Predict. Nice2Predict software library versions are from the Debin docker image.The same segfault happens using a single thread. The
feature.json
file I am using can be found here.The text was updated successfully, but these errors were encountered: