Comments (3)
Also, I have successfully run build_gas.sh, gaps_is_installed.sh and build_kernel.sh. with some modification to suit my environment, the scripts showed log as expected and generated all the needed executable files.
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Thread 100 "train.py" received signal SIGSEGV, Segmentation fault.
[Switching to Thread 0x7ff865fff700 (LWP 1307527)]
0x00007fff7ca95890 in tensorflow::data::experimental::ParallelInterleaveDatasetOp::Dataset::Iterator::EnsureWorkerThreadsStarted(tensorflow::data::IteratorContext*) ()
from /home/mayo/anaconda3/envs/tf-1.15/lib/python3.8/site-packages/tensorflow_core/python/_pywrap_tensorflow_internal.so
I got this message when debug with GDB.
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I have the same problem Segmentation fault (core dumped) . I ran build_gas.sh successfully but I can't run build_kernel.sh because "unsupported GNU version! gcc versions later than 6 are not supported!". But since it's optional, it shouldn't affect training, right?
I'm using Ubuntu20.4 with RTX2080. CUDA Version: 11.3. The env is created with the ymal file.
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Related Issues (13)
- Fix issues while running ./build_gaps.sh HOT 3
- /process_mesh_local.sh: line 47: 13856 Bus error (core dumped) ${gaps}/msh2msh $mesh_in $mesh -scale_by_pca -translate_by_centroid -scale 0\.25 -debug_matrix ${outdir}/orig_to_gaps.txt
- Is it possible to share your preprocessed data and pretrained model of LDIF? HOT 4
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- Abnormal chamfer metric reproduced on ShapeNet HOT 8
- no limitation for "%s" while calling fscanf()
- Error when unit testing
- The result of unit_test.sh HOT 1
- IO Performance Issues HOT 2
- Crash on train HOT 1
- test or val issue HOT 2
- Error in data preprocessing HOT 1
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