huajsj opened a new issue, #12020:
URL: https://github.com/apache/tvm/issues/12020
### Expected behavior
What you were expecting
Set USE_DNNL ON or OFF should not impact document processing
### Actual behavior
What actually happened
Set USE_DNNL ON then run "docker/bash.sh --env CI --env TVM_SHARD_INDEX
--env TVM_NUM_SHARDS --env RUN_DISPLAY_URL --env PLATFORM
tlcpack/ci-gpu:20220630-060117-558ba99c7 ./tests/scripts/task_python_docs.sh"
will see the crash happen in procesing from_oneflow.py and from_paddle.py.
### Environment
Any environment details, such as: Operating System, TVM version, etc
tlcpack/ci-gpu:20220630
tlcpack/ci-gpu:20220619
### Steps to reproduce
Preferably a minimal script to cause the issue to occur.
mkdir ./build
cp ./cmake/config.cmake ./build/
echo set\(USE_DNNL ON\) >> ./build/config.cmake
docker/bash.sh -it --env CI --env TVM_SHARD_INDEX --env TVM_NUM_SHARDS --env
RUN_DISPLAY_URL --env PLATFORM tlcpack/ci-gpu:20220630-060117-558ba99c7
cd build
cmake ../
make
cd ../
../tests/scripts/task_python_docs.sh"
Debug information
#in docker
cd _staging
gdb python3
set args -m sphinx -b html -d /workspace/docs/_build/doctrees .
/workspace/docs/_build/html
r
# can saw the crash happen in dlopen for "from_oneflow.py "
# after set USE_DNNL OFF , and rebuild issue go away
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
