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rapidsai / cuml

cuML - RAPIDS Machine Learning Library
https://docs.rapids.ai/api/cuml/stable/
Apache License 2.0
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[BUG] double free error on CentOS when import after torchvision. #4359

Open Yuanjiang-Cao opened 2 years ago

Yuanjiang-Cao commented 2 years ago

Describe the bug On my server with CentOS, I import cuml after torchvision, the interpreter reports the error below:

*** Error in `/home/mypath/tools/anaconda/envs/py37/bin/python': free(): invalid size: 0x000055ebcc751380 ***
======= Backtrace: =========
/lib64/libc.so.6(+0x81329)[0x7fcc1b0a1329]
/home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cupy/cuda/jitify.cpython-37m-x86_64-linux-gnu.so(_ZNSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS5_EED1Ev+0x2a)[0x7fcb4d4d21ba]
/lib64/libc.so.6(+0x39ce9)[0x7fcc1b059ce9]
/lib64/libc.so.6(+0x39d37)[0x7fcc1b059d37]
/lib64/libc.so.6(__libc_start_main+0xfc)[0x7fcc1b04255c]
/home/mypath/tools/anaconda/envs/py37/bin/python(+0x1d7555)[0x55ebc696c555]
======= Memory map: ========
200000000-a00200000 ---p 00000000 00:00 0 
55ebc6795000-55ebc67f0000 r--p 00000000 fd:02 1075282867                 /home/mypath/tools/anaconda/envs/py37/bin/python3.7
55ebc67f0000-55ebc69c9000 r-xp 0005b000 fd:02 1075282867                 /home/mypath/tools/anaconda/envs/py37/bin/python3.7
55ebc69c9000-55ebc6a70000 r--p 00234000 fd:02 1075282867                 /home/mypath/tools/anaconda/envs/py37/bin/python3.7
55ebc6a70000-55ebc6a73000 r--p 002da000 fd:02 1075282867                 /home/mypath/tools/anaconda/envs/py37/bin/python3.7
55ebc6a73000-55ebc6adc000 rw-p 002dd000 fd:02 1075282867                 /home/mypath/tools/anaconda/envs/py37/bin/python3.7
55ebc6adc000-55ebc6afd000 rw-p 00000000 00:00 0 
55ebc7921000-55ebcd062000 rw-p 00000000 00:00 0                          [heap]
7fca6c000000-7fca6c021000 rw-p 00000000 00:00 0 
7fca6c021000-7fca70000000 ---p 00000000 00:00 0 
7fca70f1b000-7fca70fb8000 r--p 00000000 fd:02 3241838352                 /home/mypath/tools/anaconda/envs/py37/lib/libfaiss.so
7fca70fb8000-7fca71299000 r-xp 0009d000 fd:02 3241838352                 /home/mypath/tools/anaconda/envs/py37/lib/libfaiss.so
7fca71299000-7fca8414f000 r--p 0037e000 fd:02 3241838352                 /home/mypath/tools/anaconda/envs/py37/lib/libfaiss.so
7fca8414f000-7fca84150000 ---p 13234000 fd:02 3241838352                 /home/mypath/tools/anaconda/envs/py37/lib/libfaiss.so
7fca84150000-7fca8415d000 r--p 13234000 fd:02 3241838352                 /home/mypath/tools/anaconda/envs/py37/lib/libfaiss.so
7fca8415d000-7fca8415e000 rw-p 13241000 fd:02 3241838352                 /home/mypath/tools/anaconda/envs/py37/lib/libfaiss.so
7fca8415e000-7fca8415f000 rw-p 00000000 00:00 0 
7fca8415f000-7fca84c93000 r-xp 00000000 fd:02 2205972756                 /home/mypath/tools/anaconda/envs/py37/lib/libcuml++.so
7fca84c93000-7fca84e92000 ---p 00b34000 fd:02 2205972756                 /home/mypath/tools/anaconda/envs/py37/lib/libcuml++.so
7fca84e92000-7fca84e9d000 r--p 00b33000 fd:02 2205972756                 /home/mypath/tools/anaconda/envs/py37/lib/libcuml++.so
7fca84e9d000-7fca84ea5000 rw-p 00b3e000 fd:02 2205972756                 /home/mypath/tools/anaconda/envs/py37/lib/libcuml++.so
7fca84ea5000-7fca84fa4000 rw-p 00000000 00:00 0 
7fca84fa4000-7fca853a3000 ---p 00e45000 fd:02 2205972756                 /home/mypath/tools/anaconda/envs/py37/lib/libcuml++.so
7fca853a3000-7fca97e9d000 rw-p 00c44000 fd:02 2205972756                 /home/mypath/tools/anaconda/envs/py37/lib/libcuml++.so
7fca97e9d000-7fca98000000 rw-p 13910000 fd:02 2205972756                 /home/mypath/tools/anaconda/envs/py37/lib/libcuml++.so
7fca98000000-7fca98021000 rw-p 00000000 00:00 0 
7fca98021000-7fca9c000000 ---p 00000000 00:00 0 
7fca9d7e7000-7fca9d807000 r--p 00000000 fd:02 80116571                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/seasonality.cpython-37m-x86_64-linux-gnu.so
7fca9d807000-7fca9d831000 r-xp 00020000 fd:02 80116571                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/seasonality.cpython-37m-x86_64-linux-gnu.so
7fca9d831000-7fca9d83b000 r--p 0004a000 fd:02 80116571                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/seasonality.cpython-37m-x86_64-linux-gnu.so
7fca9d83b000-7fca9d83c000 ---p 00054000 fd:02 80116571                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/seasonality.cpython-37m-x86_64-linux-gnu.so
7fca9d83c000-7fca9d83e000 r--p 00054000 fd:02 80116571                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/seasonality.cpython-37m-x86_64-linux-gnu.so
7fca9d83e000-7fca9d841000 rw-p 00056000 fd:02 80116571                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/seasonality.cpython-37m-x86_64-linux-gnu.so
7fca9d841000-7fca9d865000 r--p 00000000 fd:02 80116620                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/auto_arima.cpython-37m-x86_64-linux-gnu.so
7fca9d865000-7fca9d8df000 r-xp 00024000 fd:02 80116620                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/auto_arima.cpython-37m-x86_64-linux-gnu.so
7fca9d8df000-7fca9d8ed000 r--p 0009e000 fd:02 80116620                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/auto_arima.cpython-37m-x86_64-linux-gnu.so
7fca9d8ed000-7fca9d8f0000 r--p 000ab000 fd:02 80116620                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/auto_arima.cpython-37m-x86_64-linux-gnu.so
7fca9d8f0000-7fca9d8f8000 rw-p 000ae000 fd:02 80116620                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/auto_arima.cpython-37m-x86_64-linux-gnu.so
7fca9d8f8000-7fca9d8f9000 rw-p 00000000 00:00 0 
7fca9d8f9000-7fca9d919000 r--p 00000000 fd:02 80116564                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/stationarity.cpython-37m-x86_64-linux-gnu.so
7fca9d919000-7fca9d941000 r-xp 00020000 fd:02 80116564                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/stationarity.cpython-37m-x86_64-linux-gnu.so
7fca9d941000-7fca9d94b000 r--p 00048000 fd:02 80116564                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/stationarity.cpython-37m-x86_64-linux-gnu.so
7fca9d94b000-7fca9d94c000 ---p 00052000 fd:02 80116564                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/stationarity.cpython-37m-x86_64-linux-gnu.so
7fca9d94c000-7fca9d94e000 r--p 00052000 fd:02 80116564                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/stationarity.cpython-37m-x86_64-linux-gnu.so
7fca9d94e000-7fca9d951000 rw-p 00054000 fd:02 80116564                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/stationarity.cpython-37m-x86_64-linux-gnu.so
7fca9d951000-7fca9d975000 r--p 00000000 fd:02 80116619                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/arima.cpython-37m-x86_64-linux-gnu.so
7fca9d975000-7fca9d9d9000 r-xp 00024000 fd:02 80116619                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/arima.cpython-37m-x86_64-linux-gnu.so
7fca9d9d9000-7fca9d9e9000 r--p 00088000 fd:02 80116619                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/arima.cpython-37m-x86_64-linux-gnu.so
7fca9d9e9000-7fca9d9ec000 r--p 00097000 fd:02 80116619                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/arima.cpython-37m-x86_64-linux-gnu.so
7fca9d9ec000-7fca9d9f5000 rw-p 0009a000 fd:02 80116619                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/arima.cpython-37m-x86_64-linux-gnu.so
7fca9d9f5000-7fca9d9f6000 rw-p 00000000 00:00 0 
7fca9d9f6000-7fca9da17000 r--p 00000000 fd:02 80116616                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/holtwinters.cpython-37m-x86_64-linux-gnu.so
7fca9da17000-7fca9da58000 r-xp 00021000 fd:02 80116616                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/holtwinters.cpython-37m-x86_64-linux-gnu.so
7fca9da58000-7fca9da65000 r--p 00062000 fd:02 80116616                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/holtwinters.cpython-37m-x86_64-linux-gnu.so
7fca9da65000-7fca9da66000 ---p 0006f000 fd:02 80116616                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/holtwinters.cpython-37m-x86_64-linux-gnu.so
7fca9da66000-7fca9da68000 r--p 0006f000 fd:02 80116616                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/holtwinters.cpython-37m-x86_64-linux-gnu.so
7fca9da68000-7fca9da6d000 rw-p 00071000 fd:02 80116616                   /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/tsa/holtwinters.cpython-37m-x86_64-linux-gnu.so
7fca9da6d000-7fca9daae000 rw-p 00000000 00:00 0 
7fca9daae000-7fca9dacf000 r--p 00000000 fd:02 2303879632                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/svm/svr.cpython-37m-x86_64-linux-gnu.so
7fca9dacf000-7fca9db01000 r-xp 00021000 fd:02 2303879632                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/svm/svr.cpython-37m-x86_64-linux-gnu.so
7fca9db01000-7fca9db0e000 r--p 00053000 fd:02 2303879632                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/svm/svr.cpython-37m-x86_64-linux-gnu.so
7fca9db0e000-7fca9db0f000 ---p 00060000 fd:02 2303879632                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/svm/svr.cpython-37m-x86_64-linux-gnu.so
7fca9db0f000-7fca9db11000 r--p 00060000 fd:02 2303879632                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/svm/svr.cpython-37m-x86_64-linux-gnu.so
7fca9db11000-7fca9db15000 rw-p 00062000 fd:02 2303879632                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/cuml/svm/svr.cpython-37m-x86_64-linux-gnu.so
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7fca9db2f000-7fca9db33000 r--p 0001a000 fd:02 1264919                    /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/linear_model/_sag_fast.cpython-37m-x86_64-linux-gnu.so
7fca9db33000-7fca9db34000 ---p 0001e000 fd:02 1264919                    /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/linear_model/_sag_fast.cpython-37m-x86_64-linux-gnu.so
7fca9db34000-7fca9db35000 r--p 0001e000 fd:02 1264919                    /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/linear_model/_sag_fast.cpython-37m-x86_64-linux-gnu.so
7fca9db35000-7fca9db37000 rw-p 0001f000 fd:02 1264919                    /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/linear_model/_sag_fast.cpython-37m-x86_64-linux-gnu.so
7fca9db37000-7fca9db78000 rw-p 00000000 00:00 0 
7fca9db78000-7fca9db7e000 r--p 00000000 fd:02 3243362059                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/utils/_weight_vector.cpython-37m-x86_64-linux-gnu.so
7fca9db7e000-7fca9db97000 r-xp 00006000 fd:02 3243362059                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/utils/_weight_vector.cpython-37m-x86_64-linux-gnu.so
7fca9db97000-7fca9db9e000 r--p 0001f000 fd:02 3243362059                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/utils/_weight_vector.cpython-37m-x86_64-linux-gnu.so
7fca9db9e000-7fca9db9f000 ---p 00026000 fd:02 3243362059                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/utils/_weight_vector.cpython-37m-x86_64-linux-gnu.so
7fca9db9f000-7fca9dba0000 r--p 00026000 fd:02 3243362059                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/utils/_weight_vector.cpython-37m-x86_64-linux-gnu.so
7fca9dba0000-7fca9dba3000 rw-p 00027000 fd:02 3243362059                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/utils/_weight_vector.cpython-37m-x86_64-linux-gnu.so
7fca9dba3000-7fca9dbab000 r--p 00000000 fd:02 1264924                    /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/linear_model/_sgd_fast.cpython-37m-x86_64-linux-gnu.so
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7fca9dbce000-7fca9dbd7000 r--p 0002b000 fd:02 1264924                    /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/linear_model/_sgd_fast.cpython-37m-x86_64-linux-gnu.so
7fca9dbd7000-7fca9dbd8000 r--p 00033000 fd:02 1264924                    /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/linear_model/_sgd_fast.cpython-37m-x86_64-linux-gnu.so
7fca9dbd8000-7fca9dbde000 rw-p 00034000 fd:02 1264924                    /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/linear_model/_sgd_fast.cpython-37m-x86_64-linux-gnu.so
7fca9dbde000-7fca9dc1f000 rw-p 00000000 00:00 0 
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7fca9dc70000-7fca9dc7a000 r--p 00051000 fd:02 1264929                    /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/linear_model/_cd_fast.cpython-37m-x86_64-linux-gnu.so
7fca9dc7a000-7fca9dc7b000 r--p 0005a000 fd:02 1264929                    /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/linear_model/_cd_fast.cpython-37m-x86_64-linux-gnu.so
7fca9dc7b000-7fca9dc80000 rw-p 0005b000 fd:02 1264929                    /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/linear_model/_cd_fast.cpython-37m-x86_64-linux-gnu.so
7fca9dc80000-7fca9dc81000 rw-p 00000000 00:00 0 
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7fca9dcab000-7fca9dcac000 ---p 0002a000 fd:02 3243362062                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/utils/arrayfuncs.cpython-37m-x86_64-linux-gnu.so
7fca9dcac000-7fca9dcad000 r--p 0002a000 fd:02 3243362062                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/utils/arrayfuncs.cpython-37m-x86_64-linux-gnu.so
7fca9dcad000-7fca9dcb0000 rw-p 0002b000 fd:02 3243362062                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/utils/arrayfuncs.cpython-37m-x86_64-linux-gnu.so
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7fca9dcc7000-7fca9dccc000 r--p 00016000 fd:02 3243359818                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/utils/_seq_dataset.cpython-37m-x86_64-linux-gnu.so
7fca9dccc000-7fca9dccd000 r--p 0001a000 fd:02 3243359818                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/utils/_seq_dataset.cpython-37m-x86_64-linux-gnu.so
7fca9dccd000-7fca9dccf000 rw-p 0001b000 fd:02 3243359818                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/utils/_seq_dataset.cpython-37m-x86_64-linux-gnu.so
7fca9dccf000-7fca9dcd0000 rw-p 00000000 00:00 0 
7fca9dcd0000-7fca9dcda000 r--p 00000000 fd:02 1074146329                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/svm/_libsvm_sparse.cpython-37m-x86_64-linux-gnu.so
7fca9dcda000-7fca9dd07000 r-xp 0000a000 fd:02 1074146329                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/sklearn/svm/_libsvm_sparse.cpython-37m-x86_64-linux-gnu.so
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7fca9f400000-7fca9f401000 r--p 0002c000 fd:02 3309741078                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/scipy/interpolate/_rbfinterp_pythran.cpython-37m-x86_64-linux-gnu.so
7fca9f401000-7fca9f402000 rw-p 0002d000 fd:02 3309741078                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/scipy/interpolate/_rbfinterp_pythran.cpython-37m-x86_64-linux-gnu.so
7fca9f402000-7fca9f40a000 r--p 00000000 fd:02 3309741088                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/scipy/interpolate/interpnd.cpython-37m-x86_64-linux-gnu.so
7fca9f40a000-7fca9f440000 r-xp 00008000 fd:02 3309741088                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/scipy/interpolate/interpnd.cpython-37m-x86_64-linux-gnu.so
7fca9f440000-7fca9f44a000 r--p 0003e000 fd:02 3309741088                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/scipy/interpolate/interpnd.cpython-37m-x86_64-linux-gnu.so
7fca9f44a000-7fca9f44b000 ---p 00048000 fd:02 3309741088                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/scipy/interpolate/interpnd.cpython-37m-x86_64-linux-gnu.so
7fca9f44b000-7fca9f44c000 r--p 00048000 fd:02 3309741088                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/scipy/interpolate/interpnd.cpython-37m-x86_64-linux-gnu.so
7fca9f44c000-7fca9f450000 rw-p 00049000 fd:02 3309741088                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/scipy/interpolate/interpnd.cpython-37m-x86_64-linux-gnu.so
7fca9f450000-7fca9f451000 rw-p 00000000 00:00 0 
7fca9f451000-7fca9f459000 r--p 00000000 fd:02 3309741089                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/scipy/interpolate/_ppoly.cpython-37m-x86_64-linux-gnu.so
7fca9f459000-7fca9f491000 r-xp 00008000 fd:02 3309741089                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/scipy/interpolate/_ppoly.cpython-37m-x86_64-linux-gnu.so
7fca9f491000-7fca9f49a000 r--p 00040000 fd:02 3309741089                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/scipy/interpolate/_ppoly.cpython-37m-x86_64-linux-gnu.so
7fca9f49a000-7fca9f49b000 ---p 00049000 fd:02 3309741089                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/scipy/interpolate/_ppoly.cpython-37m-x86_64-linux-gnu.so
7fca9f49b000-7fca9f49c000 r--p 00049000 fd:02 3309741089                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/scipy/interpolate/_ppoly.cpython-37m-x86_64-linux-gnu.so
7fca9f49c000-7fca9f4a1000 rw-p 0004a000 fd:02 3309741089                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/scipy/interpolate/_ppoly.cpython-37m-x86_64-linux-gnu.so
7fca9f4a1000-7fca9f4e2000 rw-p 00000000 00:00 0 
7fca9f4e2000-7fca9f4ea000 r--p 00000000 fd:02 3309741085                 /home/mypath/tools/anaconda/envs/py37/lib/python3.7/site-packages/scipy/interpolate/_bspl.cpython-37m-x86_64-linux-gnu.so
Process finished with exit code 134

Steps/Code to reproduce bug

Environment details (please complete the following information): I use print_env.sh print the environment settings as below:

<details><summary>Click here to see environment details</summary><pre>

     **git***
     Not inside a git repository

     ***OS Information***
     CentOS Linux release 7.9.2009 (Core)
     NAME="CentOS Linux"
     VERSION="7 (Core)"
     ID="centos"
     ID_LIKE="rhel fedora"
     VERSION_ID="7"
     PRETTY_NAME="CentOS Linux 7 (Core)"
     ANSI_COLOR="0;31"
     CPE_NAME="cpe:/o:centos:centos:7"
     HOME_URL="https://www.centos.org/"
     BUG_REPORT_URL="https://bugs.centos.org/"

     CENTOS_MANTISBT_PROJECT="CentOS-7"
     CENTOS_MANTISBT_PROJECT_VERSION="7"
     REDHAT_SUPPORT_PRODUCT="centos"
     REDHAT_SUPPORT_PRODUCT_VERSION="7"

     CentOS Linux release 7.9.2009 (Core)
     CentOS Linux release 7.9.2009 (Core)
     Linux mysite 3.10.0-1160.42.2.el7.x86_64 #1 SMP Tue Sep 7 14:49:57 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux

     ***GPU Information***
     Sat Nov 13 05:20:23 2021
     +-----------------------------------------------------------------------------+
     | NVIDIA-SMI 470.57.02    Driver Version: 470.57.02    CUDA Version: 11.4     |
     |-------------------------------+----------------------+----------------------+
     | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
     | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
     |                               |                      |               MIG M. |
     |===============================+======================+======================|
     |   0  NVIDIA TITAN RTX    Off  | 00000000:07:00.0 Off |                  N/A |
     | 41%   39C    P2    68W / 280W |   3817MiB / 24220MiB |     16%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   1  NVIDIA TITAN X ...  Off  | 00000000:08:00.0 Off |                  N/A |
     | 23%   30C    P8     9W / 250W |    465MiB / 12196MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   2  NVIDIA TITAN X ...  Off  | 00000000:0B:00.0 Off |                  N/A |
     | 49%   79C    P2    76W / 250W |   5914MiB / 12196MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   3  NVIDIA TITAN X ...  Off  | 00000000:0C:00.0 Off |                  N/A |
     | 54%   83C    P2   164W / 250W |   5924MiB / 12196MiB |     80%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   4  NVIDIA TITAN X ...  Off  | 00000000:84:00.0 Off |                  N/A |
     | 50%   83C    P2   235W / 250W |   5890MiB / 12196MiB |     86%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   5  NVIDIA TITAN RTX    Off  | 00000000:85:00.0 Off |                  N/A |
     | 91%   87C    P2   211W / 280W |  16510MiB / 24220MiB |     94%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   6  NVIDIA TITAN X ...  Off  | 00000000:88:00.0 Off |                  N/A |
     | 31%   54C    P2    83W / 250W |  10370MiB / 12196MiB |     98%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   7  NVIDIA TITAN X ...  Off  | 00000000:89:00.0 Off |                  N/A |
     | 33%   57C    P2    83W / 250W |   8018MiB / 12196MiB |    100%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+

     ***CPU***
     Architecture:          x86_64
     CPU op-mode(s):        32-bit, 64-bit
     Byte Order:            Little Endian
     CPU(s):                48
     On-line CPU(s) list:   0-47
     Thread(s) per core:    2
     Core(s) per socket:    12
     Socket(s):             2
     NUMA node(s):          2
     Vendor ID:             GenuineIntel
     CPU family:            6
     Model:                 62
     Model name:            Intel(R) Xeon(R) CPU E5-2697 v2 @ 2.70GHz
     Stepping:              4
     CPU MHz:               2999.926
     CPU max MHz:           3500.0000
     CPU min MHz:           1200.0000
     BogoMIPS:              5399.74
     Virtualization:        VT-x
     L1d cache:             32K
     L1i cache:             32K
     L2 cache:              256K
     L3 cache:              30720K
     NUMA node0 CPU(s):     0-11,24-35
     NUMA node1 CPU(s):     12-23,36-47
     Flags:                 fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc aperfmperf eagerfpu pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm epb ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid fsgsbase smep erms xsaveopt dtherm ida arat pln pts md_clear spec_ctrl intel_stibp flush_l1d

     ***CMake***

     ***g++***
     /home/mypath/usr/bin/g++
     g++ (GCC) 5.4.0
     Copyright (C) 2015 Free Software Foundation, Inc.
     This is free software; see the source for copying conditions.  There is NO
     warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

     ***nvcc***
     /usr/local/cuda-11.0/bin/nvcc
     nvcc: NVIDIA (R) Cuda compiler driver
     Copyright (c) 2005-2020 NVIDIA Corporation
     Built on Wed_Jul_22_19:09:09_PDT_2020
     Cuda compilation tools, release 11.0, V11.0.221
     Build cuda_11.0_bu.TC445_37.28845127_0

     ***Python***
     /home/mypath/tools/anaconda/envs/py37/bin/python
     Python 3.7.11

     ***Environment Variables***
     PATH                            : /home/mypath/tools/anaconda/envs/py37/bin:/home/mypath/usr/bin:/usr/local/cuda/lib64:/usr/local/cuda-11.0/bin:/usr/local/bin:/home/mypath/usr/bin:/usr/local/cuda/lib64:/home/mypath/tools/anaconda/condabin:/usr/local/cuda-11.0/bin:/usr/local/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/home/mypath/.local/bin:/home/mypath/.local/bin:/home/mypath/bin:/home/mypath/.local/bin:/home/mypath/.local/bin:/home/mypath/bin
     LD_LIBRARY_PATH                 : /home/mypath/usr/lib:/home/mypath/usr/lib64:/usr/local/cuda/bin::/home/mypath/.mujoco/mjpro150/bin:/home/mypath/.mujoco/mujoco200/bin:/home/mypath/.local/lib:/home/mypath/.local/lib64
     NUMBAPRO_NVVM                   :
     NUMBAPRO_LIBDEVICE              :
     CONDA_PREFIX                    : /home/mypath/tools/anaconda/envs/py37
     PYTHON_PATH                     :

     ***conda packages***
     /home/mypath/tools/anaconda/condabin/conda
     # packages in environment at /home/mypath/tools/anaconda/envs/py37:
     #
     # Name                    Version                   Build  Channel
     _libgcc_mutex             0.1                 conda_forge    conda-forge
     _openmp_mutex             4.5                       1_gnu    conda-forge
     _tflow_select             2.3.0                       mkl
     abseil-cpp                20210324.2           h2531618_0
     absl-py                   1.0.0                    pypi_0    pypi
     aiohttp                   3.7.4.post0      py37h7f8727e_2
     arrow-cpp                 5.0.0           py37h38eb46f_11_cuda    conda-forge
     arrow-cpp-proc            3.0.0                      cuda    conda-forge
     astor                     0.8.1            py37h06a4308_0
     astunparse                1.6.3                      py_0
     async-timeout             3.0.1            py37h06a4308_0
     attrs                     21.2.0             pyhd3eb1b0_0
     aws-c-auth                0.6.4                h66ccdbb_3    conda-forge
     aws-c-cal                 0.5.12               hf5774b0_2    conda-forge
     aws-c-common              0.6.11               h7f98852_0    conda-forge
     aws-c-compression         0.2.14               hcbdb60a_2    conda-forge
     aws-c-event-stream        0.2.7               hb3c4c74_24    conda-forge
     aws-c-http                0.6.6                h0021954_1    conda-forge
     aws-c-io                  0.10.9               h14fba84_3    conda-forge
     aws-c-mqtt                0.7.8                h8df633b_2    conda-forge
     aws-c-s3                  0.1.27               h8e2754f_1    conda-forge
     aws-checksums             0.1.12               hcbdb60a_1    conda-forge
     aws-crt-cpp               0.17.1               hf793bd7_3    conda-forge
     aws-sdk-cpp               1.9.120              hab07a0e_0    conda-forge
     blas                      1.0                         mkl
     blinker                   1.4              py37h06a4308_0
     bokeh                     2.4.1            py37h06a4308_0
     bottleneck                1.3.2            py37heb32a55_1
     brotli                    1.0.9                he6710b0_2
     brotlipy                  0.7.0           py37h27cfd23_1003
     bzip2                     1.0.8                h7b6447c_0
     c-ares                    1.18.1               h7f98852_0    conda-forge
     ca-certificates           2021.10.26           h06a4308_2
     cachetools                4.2.2              pyhd3eb1b0_0
     certifi                   2021.10.8        py37h06a4308_0
     cffi                      1.14.6           py37h400218f_0
     chardet                   4.0.0           py37h06a4308_1003
     charset-normalizer        2.0.4              pyhd3eb1b0_0
     click                     8.0.3              pyhd3eb1b0_0
     cloudpickle               2.0.0              pyhd3eb1b0_0
     coverage                  5.5              py37h27cfd23_2
     cryptography              3.4.8            py37hd23ed53_0
     cudatoolkit               11.0.221             h6bb024c_0    nvidia
     cudf                      21.10.01        cuda_11.0_py37_ga1d2d13a14_0    rapidsai
     cudnn                     8.2.1.32             h86fa8c9_0    conda-forge
     cuml                      21.10.01        cuda11.0_py37_gec6d97039_0    rapidsai
     cupy                      9.6.0            py37h580ddce_0    conda-forge
     cycler                    0.10.0                   py37_0
     cython                    0.29.24          py37hdbfa776_0
     cytoolz                   0.11.0           py37h7b6447c_0
     dask                      2021.9.1           pyhd3eb1b0_0
     dask-core                 2021.9.1           pyhd3eb1b0_0
     dask-cudf                 21.10.01        py37_ga1d2d13a14_0    rapidsai
     dataclasses               0.8                pyh6d0b6a4_7
     dbus                      1.13.18              hb2f20db_0
     distributed               2021.9.1         py37h06a4308_0
     dlpack                    0.5                  h9c3ff4c_0    conda-forge
     dm-env                    1.5                      pypi_0    pypi
     dm-tree                   0.1.6                    pypi_0    pypi
     dowel                     0.0.4                    pypi_0    pypi
     expat                     2.4.1                h2531618_2
     faiss-proc                1.0.0                      cuda    rapidsai
     fastavro                  1.4.3            py37h7f8727e_0
     fastrlock                 0.6              py37h2531618_0
     fontconfig                2.13.1               h6c09931_0
     fonttools                 4.25.0             pyhd3eb1b0_0
     freetype                  2.11.0               h70c0345_0
     fsspec                    2021.10.1          pyhd3eb1b0_0
     future                    0.18.2                   py37_1
     gast                      0.3.3                      py_0
     gflags                    2.2.2                he6710b0_0
     giflib                    5.2.1                h7b6447c_0
     glib                      2.69.1               h5202010_0
     glog                      0.5.0                h2531618_0
     google-auth               1.33.0             pyhd3eb1b0_0
     google-auth-oauthlib      0.4.4              pyhd3eb1b0_0
     google-pasta              0.2.0              pyhd3eb1b0_0
     grpc-cpp                  1.40.0               h05f19cf_2    conda-forge
     grpcio                    1.36.1           py37h2157cd5_1
     gst-plugins-base          1.14.0               h8213a91_2
     gstreamer                 1.14.0               h28cd5cc_2
     gym                       0.21.0                   pypi_0    pypi
     h5py                      2.10.0           py37hd6299e0_1
     hdf5                      1.10.6               hb1b8bf9_0
     heapdict                  1.0.1              pyhd3eb1b0_0
     icu                       58.2                 he6710b0_3
     idna                      3.2                pyhd3eb1b0_0
     imageio                   2.9.0              pyhd3eb1b0_0
     importlib-metadata        4.8.1            py37h06a4308_0
     importlib_metadata        4.8.1                hd3eb1b0_0
     iniconfig                 1.1.1              pyhd3eb1b0_0
     intel-openmp              2021.4.0          h06a4308_3561
     jbig                      2.1                  hdba287a_0
     jinja2                    3.0.2              pyhd3eb1b0_0
     joblib                    1.1.0              pyhd3eb1b0_0
     jpeg                      9d                   h7f8727e_0
     keras-preprocessing       1.1.2              pyhd3eb1b0_0
     kiwisolver                1.3.1            py37h2531618_0
     krb5                      1.19.2               hac12032_0
     lcms2                     2.12                 h3be6417_0
     ld_impl_linux-64          2.35.1               h7274673_9
     lerc                      3.0                  h295c915_0
     libblas                   3.9.0            12_linux64_mkl    conda-forge
     libbrotlicommon           1.0.9                h7f98852_6    conda-forge
     libbrotlidec              1.0.9                h7f98852_6    conda-forge
     libbrotlienc              1.0.9                h7f98852_6    conda-forge
     libcblas                  3.9.0            12_linux64_mkl    conda-forge
     libcudf                   21.10.01        cuda11.0_ga1d2d13a14_0    rapidsai
     libcuml                   21.10.01        cuda11.0_gec6d97039_0    rapidsai
     libcumlprims              21.10.00        cuda11.0_g167dc59_0    nvidia
     libcurl                   7.80.0               h2574ce0_0    conda-forge
     libdeflate                1.8                  h7f8727e_5
     libedit                   3.1.20210910         h7f8727e_0
     libev                     4.33                 h7f8727e_1
     libevent                  2.1.8                h1ba5d50_1
     libfaiss                  1.7.0           cuda110h8045045_8_cuda    conda-forge
     libffi                    3.3                  he6710b0_2
     libgcc-ng                 11.2.0              h1d223b6_11    conda-forge
     libgfortran-ng            7.5.0               ha8ba4b0_17
     libgfortran4              7.5.0               ha8ba4b0_17
     libgomp                   11.2.0              h1d223b6_11    conda-forge
     libhwloc                  2.3.0                h5e5b7d1_1    conda-forge
     liblapack                 3.9.0            12_linux64_mkl    conda-forge
     libllvm11                 11.1.0               h3826bc1_0
     libnghttp2                1.43.0               h812cca2_1    conda-forge
     libpng                    1.6.37               hbc83047_0
     libprotobuf               3.18.1               h780b84a_0    conda-forge
     librmm                    21.10.01        cuda11.0_gc54767f_0    rapidsai
     libssh2                   1.10.0               ha56f1ee_2    conda-forge
     libstdcxx-ng              11.2.0              he4da1e4_11    conda-forge
     libthrift                 0.15.0               hcc01f38_0
     libtiff                   4.3.0                h6f004c6_2    conda-forge
     libutf8proc               2.6.1                h27cfd23_0
     libuuid                   1.0.3                h7f8727e_2
     libwebp                   1.2.0                h89dd481_0
     libwebp-base              1.2.0                h27cfd23_0
     libxcb                    1.14                 h7b6447c_0
     libxml2                   2.9.12               h03d6c58_0
     libzlib                   1.2.11            h36c2ea0_1013    conda-forge
     llvmlite                  0.37.0           py37h295c915_1
     locket                    0.2.1            py37h06a4308_1
     lz4-c                     1.9.3                h295c915_1
     magma                     2.5.4                h4a2bb80_2    conda-forge
     markdown                  3.3.4            py37h06a4308_0
     markupsafe                2.0.1            py37h27cfd23_0
     matplotlib                3.4.3            py37h06a4308_0
     matplotlib-base           3.4.3            py37hbbc1b5f_0
     mkl                       2021.4.0           h06a4308_640
     mkl-service               2.4.0            py37h7f8727e_0
     mkl_fft                   1.3.1            py37hd3c417c_0
     mkl_random                1.2.2            py37h51133e4_0
     more-itertools            8.10.0             pyhd3eb1b0_0
     msgpack-python            1.0.2            py37hff7bd54_1
     multidict                 5.1.0            py37h27cfd23_2
     munkres                   1.1.4                      py_0
     nccl                      2.11.4.1             h96e36e3_0    conda-forge
     ncurses                   6.3                  h7f8727e_2
     networkx                  2.6.3              pyhd3eb1b0_0
     ninja                     1.10.2           py37hd09550d_3
     numba                     0.54.1           py37h51133e4_0
     numexpr                   2.7.3            py37h22e1b3c_1
     numpy                     1.20.3           py37hf144106_0
     numpy-base                1.20.3           py37h74d4b33_0
     nvtx                      0.2.3            py37h5e8e339_0    conda-forge
     oauthlib                  3.1.1              pyhd3eb1b0_0
     olefile                   0.46                     py37_0
     openssl                   1.1.1l               h7f8727e_0
     opt_einsum                3.3.0              pyhd3eb1b0_1
     orc                       1.7.1                h68e2c4e_0    conda-forge
     packaging                 21.0               pyhd3eb1b0_0
     pandas                    1.3.4            py37h8c16a72_0
     parquet-cpp               1.5.1                h34088ae_4
     partd                     1.2.0              pyhd3eb1b0_0
     pcre                      8.45                 h295c915_0
     pillow                    8.4.0            py37h5aabda8_0
     pip                       21.2.2           py37h06a4308_0
     pluggy                    0.13.1           py37h06a4308_0
     protobuf                  3.18.1           py37hcd2ae1e_0    conda-forge
     psutil                    5.8.0            py37h27cfd23_1
     py                        1.10.0             pyhd3eb1b0_0
     pyarrow                   5.0.0           py37h08c6592_11_cuda    conda-forge
     pyasn1                    0.4.8              pyhd3eb1b0_0
     pyasn1-modules            0.2.8                      py_0
     pycparser                 2.21               pyhd3eb1b0_0
     pyjwt                     2.1.0            py37h06a4308_0
     pyopenssl                 21.0.0             pyhd3eb1b0_1
     pyparsing                 3.0.4              pyhd3eb1b0_0
     pyqt                      5.9.2            py37h05f1152_2
     pysocks                   1.7.1                    py37_1
     pytest                    6.2.4            py37h06a4308_2
     python                    3.7.11               h12debd9_0
     python-dateutil           2.8.2              pyhd3eb1b0_0
     python_abi                3.7                     2_cp37m    conda-forge
     pytorch                   1.10.0          cuda110py37h4a33b93_0    conda-forge
     pytorch-gpu               1.10.0          cuda110py37h5b0ac8e_0    conda-forge
     pytz                      2021.3             pyhd3eb1b0_0
     pywavelets                1.1.1            py37h7b6447c_2
     pyyaml                    6.0              py37h7f8727e_1
     qt                        5.9.7                h5867ecd_1
     re2                       2021.09.01           h9c3ff4c_0    conda-forge
     readline                  8.1                  h27cfd23_0
     requests                  2.26.0             pyhd3eb1b0_0
     requests-oauthlib         1.3.0                      py_0
     rmm                       21.10.01        cuda_11.0_py37_gc54767f_0    rapidsai
     rsa                       4.7.2              pyhd3eb1b0_1
     s2n                       1.1.1                h9b69904_0    conda-forge
     scikit-image              0.18.3           py37h51133e4_0
     scikit-learn              1.0.1            py37h51133e4_0
     scipy                     1.7.1            py37h292c36d_2
     setuptools                58.0.4           py37h06a4308_0
     sip                       4.19.8           py37hf484d3e_0
     six                       1.16.0             pyhd3eb1b0_0
     sleef                     3.5.1                h9b69904_2    conda-forge
     snappy                    1.1.8                he6710b0_0
     sortedcontainers          2.4.0              pyhd3eb1b0_0
     spdlog                    1.8.5                h4bd325d_0    conda-forge
     sqlite                    3.36.0               hc218d9a_0
     tabulate                  0.8.9                    pypi_0    pypi
     tbb                       2021.4.0             hd09550d_0
     tblib                     1.7.0              pyhd3eb1b0_0
     tensorboard               2.4.0              pyhc547734_0
     tensorboard-plugin-wit    1.6.0                      py_0
     tensorboardx              2.4                      pypi_0    pypi
     tensorflow                2.2.0           mkl_py37h6e9ce2d_0
     tensorflow-base           2.2.0           mkl_py37hd506778_0
     tensorflow-estimator      2.6.0              pyh7b7c402_0
     termcolor                 1.1.0            py37h06a4308_1
     threadpoolctl             2.2.0              pyh0d69192_0
     tifffile                  2020.10.1        py37hdd07704_2
     tk                        8.6.11               h1ccaba5_0
     toml                      0.10.2             pyhd3eb1b0_0
     toolz                     0.11.2             pyhd3eb1b0_0
     torchvision               0.10.1          py37cuda110hbff3922_0_cuda    conda-forge
     tornado                   6.1              py37h27cfd23_0
     treelite                  2.1.0            py37h4b3d254_0    conda-forge
     treelite-runtime          2.1.0                    pypi_0    pypi
     typing-extensions         3.10.0.2             hd3eb1b0_0
     typing_extensions         3.10.0.2           pyh06a4308_0
     ucx                       1.11.1+gc58db6b      cuda11.0_0    rapidsai
     ucx-proc                  1.0.0                       gpu    rapidsai
     ucx-py                    0.22.0          py37_gc58db6b_0    rapidsai
     urllib3                   1.26.7             pyhd3eb1b0_0
     werkzeug                  2.0.2              pyhd3eb1b0_0
     wheel                     0.37.0             pyhd3eb1b0_1
     wrapt                     1.12.1           py37h7b6447c_1
     xz                        5.2.5                h7b6447c_0
     yaml                      0.2.5                h7b6447c_0
     yarl                      1.6.3            py37h27cfd23_0
     zict                      2.0.0              pyhd3eb1b0_0
     zipp                      3.6.0              pyhd3eb1b0_0
     zlib                      1.2.11            h36c2ea0_1013    conda-forge
     zstd                      1.5.0                ha4553b6_1

</pre></details>
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github-actions[bot] commented 2 years ago

This issue has been labeled inactive-90d due to no recent activity in the past 90 days. Please close this issue if no further response or action is needed. Otherwise, please respond with a comment indicating any updates or changes to the original issue and/or confirm this issue still needs to be addressed.