Skip to content

Error in 'python -m bohrium classifyMRELBY.py': free(): invalid pointer: 0x00007f16e0f85c00 #636

@OscarVanL

Description

@OscarVanL

Hi,

I'm getting an invalid pointer error after taking a (working) script utilising numpy and running it with -m bohrium.

Full error
*** Error in `python -m bohrium classifyMRELBP.py -l -a': free(): invalid pointer: 0x00007f16e0f85c00 ***
======= Backtrace: =========
/lib64/libc.so.6(+0x816b9)[0x7f171310d6b9]
/home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/./.libs/libbh_ve_openmp.so(create+0x9a)[0x7                                                                                                                            f16c6c2172a]
/home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/.libs/libbh-2bcae67d.so(_ZN7bohrium9compone                                                                                                                            nt13ComponentFaceC1ERKSsi+0x8d)[0x7f16e0c3005d]
/home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/./.libs/libbh_vem_node.so(create+0x11f)[0x7                                                                                                                            f16c6e42cef]
/home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/.libs/libbh-2bcae67d.so(_ZN7bohrium9compone                                                                                                                            nt13ComponentFaceC1ERKSsi+0x8d)[0x7f16e0c3005d]
/home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/./.libs/libbh_filter_bccon.so(create+0x2ed)                                                                                                                            [0x7f16c705cfdd]
/home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/.libs/libbh-2bcae67d.so(_ZN7bohrium9compone                                                                                                                            nt13ComponentFaceC1ERKSsi+0x8d)[0x7f16e0c3005d]
/home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/./.libs/libbh_filter_bcexp.so(create+0x27d)                                                                                                                            [0x7f16c728255d]
/home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/.libs/libbh-2bcae67d.so(_ZN7bohrium9compone                                                                                                                            nt13ComponentFaceC1ERKSsi+0x8d)[0x7f16e0c3005d]
/home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/.libs/libbhxx-4473dd8d.so(_ZN4bhxx7RuntimeC                                                                                                                            1Ev+0x95)[0x7f16e067f9b5]
/home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/.libs/libbhc-6ad8b2e7.so(_ZN4bhxx7Runtime8i                                                                                                                            nstanceEv+0x43)[0x7f16e10d1da3]
/home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/.libs/libbhxx-4473dd8d.so(_ZN4bhxx5rangeERN                                                                                                                            S_7BhArrayImEE+0x134)[0x7f16e07ac514]
/home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium/_bh.cpython-37m-x86_64-linux-gnu.so(array_op+0x                                                                                                                            3b3)[0x7f17097811d3]
/home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium/_bh.cpython-37m-x86_64-linux-gnu.so(PyArrayOp+0                                                                                                                            x65)[0x7f17097812d5]
python -m bohrium classifyMRELBP.py -l -a (_PyMethodDef_RawFastCallKeywords+0x264)[0x55e5038df114]
python -m bohrium classifyMRELBP.py -l -a (_PyCFunction_FastCallKeywords+0x21)[0x55e5038df231]
python -m bohrium classifyMRELBP.py -l -a (_PyEval_EvalFrameDefault+0x4e9d)[0x55e503943a5d]
python -m bohrium classifyMRELBP.py -l -a (_PyEval_EvalCodeWithName+0x2f9)[0x55e5038986f9]
python -m bohrium classifyMRELBP.py -l -a (_PyFunction_FastCallDict+0x400)[0x55e503899a30]
/home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium/bhary.cpython-37m-x86_64-linux-gnu.so(+0x8c9a)[                                                                                                                            0x7f170984cc9a]
python -m bohrium classifyMRELBP.py -l -a (_PyObject_FastCallKeywords+0x48b)[0x55e5038f418b]
python -m bohrium classifyMRELBP.py -l -a (_PyEval_EvalFrameDefault+0x5817)[0x55e5039443d7]
python -m bohrium classifyMRELBP.py -l -a (_PyEval_EvalCodeWithName+0x2f9)[0x55e5038986f9]
python -m bohrium classifyMRELBP.py -l -a (_PyFunction_FastCallDict+0x1d5)[0x55e503899805]
/home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium/bhary.cpython-37m-x86_64-linux-gnu.so(+0x8c9a)[                                                                                                                            0x7f170984cc9a]
python -m bohrium classifyMRELBP.py -l -a (_PyObject_FastCallKeywords+0x48b)[0x55e5038f418b]
python -m bohrium classifyMRELBP.py -l -a (_PyEval_EvalFrameDefault+0x52cf)[0x55e503943e8f]
python -m bohrium classifyMRELBP.py -l -a (_PyEval_EvalCodeWithName+0x2f9)[0x55e5038986f9]
python -m bohrium classifyMRELBP.py -l -a (_PyFunction_FastCallDict+0x400)[0x55e503899a30]
python -m bohrium classifyMRELBP.py -l -a (_PyObject_Call_Prepend+0x63)[0x55e5038b4943]
python -m bohrium classifyMRELBP.py -l -a (+0x17506a)[0x55e5038f306a]
python -m bohrium classifyMRELBP.py -l -a (_PyObject_FastCallKeywords+0x128)[0x55e5038f3e28]
python -m bohrium classifyMRELBP.py -l -a (_PyEval_EvalFrameDefault+0x5817)[0x55e5039443d7]
python -m bohrium classifyMRELBP.py -l -a (_PyEval_EvalCodeWithName+0x2f9)[0x55e5038986f9]
python -m bohrium classifyMRELBP.py -l -a (PyEval_EvalCodeEx+0x44)[0x55e5038995f4]
python -m bohrium classifyMRELBP.py -l -a (PyEval_EvalCode+0x1c)[0x55e50389961c]
python -m bohrium classifyMRELBP.py -l -a (+0x1d07b1)[0x55e50394e7b1]
python -m bohrium classifyMRELBP.py -l -a (_PyMethodDef_RawFastCallKeywords+0xe9)[0x55e5038def99]
python -m bohrium classifyMRELBP.py -l -a (_PyCFunction_FastCallKeywords+0x21)[0x55e5038df231]
python -m bohrium classifyMRELBP.py -l -a (_PyEval_EvalFrameDefault+0x4764)[0x55e503943324]
python -m bohrium classifyMRELBP.py -l -a (_PyEval_EvalCodeWithName+0x2f9)[0x55e5038986f9]
python -m bohrium classifyMRELBP.py -l -a (_PyFunction_FastCallKeywords+0x325)[0x55e5038de8b5]
python -m bohrium classifyMRELBP.py -l -a (_PyEval_EvalFrameDefault+0x416)[0x55e50393efd6]
python -m bohrium classifyMRELBP.py -l -a (_PyEval_EvalCodeWithName+0x2f9)[0x55e5038986f9]
python -m bohrium classifyMRELBP.py -l -a (_PyFunction_FastCallKeywords+0x387)[0x55e5038de917]
python -m bohrium classifyMRELBP.py -l -a (_PyEval_EvalFrameDefault+0x14e6)[0x55e5039400a6]
python -m bohrium classifyMRELBP.py -l -a (_PyEval_EvalCodeWithName+0x2f9)[0x55e5038986f9]
python -m bohrium classifyMRELBP.py -l -a (_PyFunction_FastCallKeywords+0x387)[0x55e5038de917]
python -m bohrium classifyMRELBP.py -l -a (_PyEval_EvalFrameDefault+0x14e6)[0x55e5039400a6]
python -m bohrium classifyMRELBP.py -l -a (_PyFunction_FastCallDict+0x10b)[0x55e50389973b]
python -m bohrium classifyMRELBP.py -l -a (_PyEval_EvalFrameDefault+0x1e35)[0x55e5039409f5]
python -m bohrium classifyMRELBP.py -l -a (_PyEval_EvalCodeWithName+0x5da)[0x55e5038989da]
python -m bohrium classifyMRELBP.py -l -a (_PyFunction_FastCallKeywords+0x387)[0x55e5038de917]
python -m bohrium classifyMRELBP.py -l -a (_PyEval_EvalFrameDefault+0x416)[0x55e50393efd6]
python -m bohrium classifyMRELBP.py -l -a (_PyEval_EvalCodeWithName+0x2f9)[0x55e5038986f9]
python -m bohrium classifyMRELBP.py -l -a (PyEval_EvalCodeEx+0x44)[0x55e5038995f4]
python -m bohrium classifyMRELBP.py -l -a (PyEval_EvalCode+0x1c)[0x55e50389961c]
python -m bohrium classifyMRELBP.py -l -a (+0x1d08bd)[0x55e50394e8bd]
python -m bohrium classifyMRELBP.py -l -a (_PyMethodDef_RawFastCallKeywords+0xe9)[0x55e5038def99]
python -m bohrium classifyMRELBP.py -l -a (_PyCFunction_FastCallKeywords+0x21)[0x55e5038df231]
python -m bohrium classifyMRELBP.py -l -a (_PyEval_EvalFrameDefault+0x4764)[0x55e503943324]
python -m bohrium classifyMRELBP.py -l -a (_PyEval_EvalCodeWithName+0x2f9)[0x55e5038986f9]
python -m bohrium classifyMRELBP.py -l -a (_PyFunction_FastCallKeywords+0x325)[0x55e5038de8b5]
======= Memory map: ========
55e50377e000-55e5037d9000 r--p 00000000 00:38 9766622500                 /home/ojvl1g17/.conda/envs/IP/bin/python                                                                                                                            3.7
55e5037d9000-55e5039a7000 r-xp 0005b000 00:38 9766622500                 /home/ojvl1g17/.conda/envs/IP/bin/python                                                                                                                            3.7ls
python -m bohrium --info
----
Bohrium version: 0.11.0.post54
----
Bohrium API version: 0.11.0.post54
Installed through PyPI: True
Config file: /home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/config.ini
Header dir: /home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/include
Backend stack:
----
OpenMP:
  Main memory: 128847 MB
  Hardware threads: 16
  Malloc cache limit: 19101 MB (80% of unused memory)
  Cache dir: "/home/ojvl1g17/.bohrium/cache"
  Temp dir: "/tmp/bh_4c96_e4cc8"
  Codegen flags:
    OpenMP: true
    OpenMP+SIMD: false
    Index-as-var: true
    Strides-as-var: true
    Const-as-var: true
  JIT Command: "gcc -x c -fPIC -shared  -std=gnu99  -O3 -march=native -Werror -fopenmp -I/home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/include {IN} -o {OUT}"
----
Note: in order to activate and retrieve GPU info, set the `BH_STACK=opencl` or `BH_STACK=cuda` environment variable.

Sanity Check: "import bohrium as bh; import numpy as np; assert((bh.arange(10) == np.arange(10)).all())" - success!
BH_STACK=cuda python -m bohrium --info
----
Bohrium version: 0.11.0.post54
----
Bohrium API version: 0.11.0.post54
Installed through PyPI: True
Config file: /home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/config.ini
Header dir: /home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/include
Backend stack:
----
OpenMP:
  Main memory: 128847 MB
  Hardware threads: 16
  Malloc cache limit: 19101 MB (80% of unused memory)
  Cache dir: "/home/ojvl1g17/.bohrium/cache"
  Temp dir: "/tmp/bh_4c96_e4cc8"
  Codegen flags:
    OpenMP: true
    OpenMP+SIMD: false
    Index-as-var: true
    Strides-as-var: true
    Const-as-var: true
  JIT Command: "gcc -x c -fPIC -shared  -std=gnu99  -O3 -march=native -Werror -fopenmp -I/home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/include {IN} -o {OUT}"
----
Note: in order to activate and retrieve GPU info, set the `BH_STACK=opencl` or `BH_STACK=cuda` environment variable.

Sanity Check: "import bohrium as bh; import numpy as np; assert((bh.arange(10) == np.arange(10)).all())" - success!
(IP) [ojvl1g17@srv02441 Documents]$ python -m bohrium --info^C
(IP) [ojvl1g17@srv02441 Documents]$ BH_STACK=cuda python -m bohrium --info
----
Bohrium version: 0.11.0.post54
----
Bohrium API version: 0.11.0.post54
Installed through PyPI: True
Config file: /home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/config.ini
Header dir: /home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/include
Backend stack:
----
CUDA:
  Device: GeForce GTX 1080 Ti (SM 6.1 compute capability)"
  Memory: 11178 MB
  Malloc cache limit: 10060 MB (90%)
  JIT Command: /usr/local/cuda/bin/nvcc --cubin -m64 -arch=sm_61 -O3 --disable-warnings -I/home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/include {IN} -o {OUT}
  Cache dir: "/home/ojvl1g17/.bohrium/cache"
  Temp dir: "/tmp/bh_4e43_590c0"
  Codegen flags:
    Index-as-var: true
    Strides-as-var: true
    const-as-var: true
----
OpenMP:
  Main memory: 128847 MB
  Hardware threads: 16
  Malloc cache limit: 19115 MB (80% of unused memory)
  Cache dir: "/home/ojvl1g17/.bohrium/cache"
  Temp dir: "/tmp/bh_4e43_b851e"
  Codegen flags:
    OpenMP: true
    OpenMP+SIMD: false
    Index-as-var: true
    Strides-as-var: true
    Const-as-var: true
  JIT Command: "gcc -x c -fPIC -shared  -std=gnu99  -O3 -march=native -Werror -fopenmp -I/home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/include {IN} -o {OUT}"
----

Sanity Check: "import bohrium as bh; import numpy as np; assert((bh.arange(10) == np.arange(10)).all())" - success!

BH_STACK=opencl python -m bohrium --info

----
Bohrium version: 0.11.0.post54
----
Bohrium API version: 0.11.0.post54
Installed through PyPI: True
Config file: /home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/config.ini
Header dir: /home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/include
Backend stack:
----
OpenCL:
  Device[0]: NVIDIA CUDA / GeForce GTX 1080 Ti (OpenCL C 1.2 )
  Available devices:
[0] NVIDIA CUDA / GeForce GTX 1080 Ti (OpenCL C 1.2 )
[1] NVIDIA CUDA / GeForce GTX 1080 Ti (OpenCL C 1.2 )
[2] NVIDIA CUDA / GeForce GTX 1080 Ti (OpenCL C 1.2 )
[3] NVIDIA CUDA / GeForce GTX 1080 Ti (OpenCL C 1.2 )
  Memory:         11178 MB
  Malloc cache limit: 1117 MB (90%)
  Cache dir: "/home/ojvl1g17/.bohrium/cache"
  Temp dir: "/tmp/bh_44fe_11462"
  Codegen flags:
    Index-as-var: true
    Strides-as-var: true
    const-as-var: true
----
OpenMP:
  Main memory: 128847 MB
  Hardware threads: 16
  Malloc cache limit: 15578 MB (80% of unused memory)
  Cache dir: "/home/ojvl1g17/.bohrium/cache"
  Temp dir: "/tmp/bh_44fe_9d964"
  Codegen flags:
    OpenMP: true
    OpenMP+SIMD: false
    Index-as-var: true
    Strides-as-var: true
    Const-as-var: true
  JIT Command: "gcc -x c -fPIC -shared  -std=gnu99  -O3 -march=native -Werror -fopenmp -I/home/ojvl1g17/.conda/envs/IP/lib/python3.7/site-packages/bohrium_api/include {IN} -o {OUT}"
----
Sanity Check: "import bohrium as bh; import numpy as np; assert((bh.arange(10) == np.arange(10)).all())" - success!

Other Info:

  • python --version: Python 3.7.6
  • Linux flavour: Red Hat Enterprise Linux Server 7.7 (Maipo)

Any ideas?

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions