Thread 16 (Thread 0x7fffcf3fc6c0 (LWP 5518) "python"):
#0  syscall () at ../sysdeps/unix/sysv/linux/x86_64/syscall.S:38
#1  0x00007ffff47bebcc in  () at /usr/lib/libtbb.so.12
#2  0x00007ffff47d2394 in  () at /usr/lib/libtbb.so.12
#3  0x00007ffff789ebb5 in start_thread (arg=<optimized out>) at pthread_create.c:444
        ret = <optimized out>
        pd = <optimized out>
        unwind_buf = {cancel_jmp_buf = {{jmp_buf = {140737346398448, -6957913423970310960, -120, 0, 140736774380512, 140736666255360, 6957807318982714576, 6957895985657013456}, mask_was_saved = 0}}, priv = {pad = {0x0, 0x0, 0x0, 0x0}, data = {prev = 0x0, cleanup = 0x0, canceltype = 0}}}
        not_first_call = <optimized out>
#4  0x00007ffff7920d90 in clone3 () at ../sysdeps/unix/sysv/linux/x86_64/clone3.S:81

Thread 15 (Thread 0x7fffcf7fd6c0 (LWP 5517) "python"):
Quit

Thread 16 (Thread 0x7fffc73fc6c0 (LWP 88109) "python"):
Quit

Thread 16 (Thread 0x7fffbb7fd6c0 (LWP 88880) "python"):
#0  syscall () at ../sysdeps/unix/sysv/linux/x86_64/syscall.S:38
#1  0x00007ffff47bebcc in  () at /usr/lib/libtbb.so.12
#2  0x00007ffff47d2394 in  () at /usr/lib/libtbb.so.12
#3  0x00007ffff789ebb5 in start_thread (arg=<optimized out>) at pthread_create.c:444
        ret = <optimized out>
        pd = <optimized out>
        unwind_buf = {cancel_jmp_buf = {{jmp_buf = {140737346398448, 4500072682925487445, -120, 0, 140736793160672, 140736334909440, -4500205723326188203, -4500055555341650603}, mask_was_saved = 0}}, priv = {pad = {0x0, 0x0, 0x0, 0x0}, data = {prev = 0x0, cleanup = 0x0, canceltype = 0}}}
        not_first_call = <optimized out>
#4  0x00007ffff7920d90 in clone3 () at ../sysdeps/unix/sysv/linux/x86_64/clone3.S:81

Thread 15 (Thread 0x7fffb3fff6c0 (LWP 88881) "python"):
#0  __pthread_kill_implementation (threadid=<optimized out>, signo=signo@entry=6, no_tid=no_tid@entry=0) at pthread_kill.c:44
        tid = <optimized out>
        ret = 0
        pd = <optimized out>
        old_mask = {__val = {140736213281712}}
        ret = <optimized out>
#1  0x00007ffff78a0953 in __pthread_kill_internal (signo=6, threadid=<optimized out>) at pthread_kill.c:78
#2  0x00007ffff7851ea8 in __GI_raise (sig=sig@entry=6) at ../sysdeps/posix/raise.c:26
        ret = <optimized out>
#3  0x00007ffff783b53d in __GI_abort () at abort.c:79
        save_stage = 1
        act = {__sigaction_handler = {sa_handler = 0x20, sa_sigaction = 0x20}, sa_mask = {__val = {140737303369656, 1123, 140737303378672, 13868735865539519886, 4649262677629854000, 4633255957289792739, 13729173804532207326, 13874060029399680359, 4627238096081626292, 4541187341793643230, 13644700516603218343, 4532953925977237607, 4633318577880904567, 13909868498963905778, 4520800719073564035, 4724532911484897919}}, sa_flags = -1064031371, sa_restorer = 0xc007e17dc0b53dc6}
#4  0x00007ffff16d30e2 in std::__glibcxx_assert_fail(char const*, int, char const*, char const*) (file=<optimized out>, line=<optimized out>, function=<optimized out>, condition=<optimized out>) at /usr/src/debug/gcc/gcc/libstdc++-v3/src/c++11/debug.cc:60
#5  0x00007ffff4ddc39d in cv::dnn::runWinograd63(cv::_InputArray const&, cv::_InputArray const&, cv::_OutputArray const&, cv::Ptr<cv::dnn::FastConv> const&, int, float, float, cv::dnn::dnn4_v20221220::ActivationLayer*, bool)::{lambda(cv::Range const&)#2}::operator()(cv::Range const&) const () at /usr/include/c++/12.2.1/bits/stl_vector.h:1123
#6  0x00007ffff1c9717e in cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const (this=0x7fffffffc310, sr=...) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp:352
        __region_fn = {pImpl = 0x0, implFlags = 0}
        fp_denormals_scope = {saved_state = {reserved = {32832, 32832, 3640458282, 32767, 3024, 0, 0, 126, 3621402240, 32767, 256, 0, 3019893912, 32767, 1231253760, 2871822242}}}
        r = {start = 11, end = 12}
        wholeRange = {start = 0, end = <optimized out>}
        nstripes = <optimized out>
        __cv_trace_location_fn318 = {ppExtra = 0x7ffff2a11b08 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_location_extra_fn318>, name = 0x7ffff26d56c0 "parallel_for_body", filename = 0x7ffff26d56f8 "/usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp", line = 318, flags = 1}
        __cv_trace_arg_range_start346 = {ppExtra = 0x7ffff2a11b00 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_arg_extra_range_start346>, name = 0x7ffff26d56a7 "range.start", flags = 0}
        __cv_trace_arg_range_end347 = {ppExtra = 0x7ffff2a11af8 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_arg_extra_range_end347>, name = 0x7ffff26d569d "range.end", flags = 0}
        __cv_trace_location_extra_fn318 = 0x0
        __cv_trace_arg_extra_range_start346 = 0x0
        __cv_trace_arg_extra_range_end347 = 0x0
#7  0x00007ffff1c8f6cb in cv::parallel_for_cb(int, int, void*) (start=<optimized out>, end=<optimized out>, data=<optimized out>) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp:541
#8  0x00007ffff1ca2d37 in cv::parallel::tbb::ParallelForBackend::CallbackProxy::operator()(tbb::detail::d1::blocked_range<int> const&) const (range=..., this=0x7fffd7ffbc50) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/include/opencv2/core/parallel/backend/parallel_for.tbb.hpp:79
#9  tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>::run_body(tbb::detail::d1::blocked_range<int>&) (r=..., this=0x7fffd7ffbc00) at /usr/include/oneapi/tbb/parallel_for.h:119
#10 tbb::detail::d1::dynamic_grainsize_mode<tbb::detail::d1::adaptive_mode<tbb::detail::d1::auto_partition_type> >::work_balance<tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>, tbb::detail::d1::blocked_range<int> >(tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>&, tbb::detail::d1::blocked_range<int>&, tbb::detail::d1::execution_data&) (ed=<optimized out>, range=<optimized out>, start=<optimized out>, this=<optimized out>) at /usr/include/oneapi/tbb/partitioner.h:447
#11 tbb::detail::d1::partition_type_base<tbb::detail::d1::auto_partition_type>::execute<tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>, tbb::detail::d1::blocked_range<int> >(tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>&, tbb::detail::d1::blocked_range<int>&, tbb::detail::d1::execution_data&) (ed=..., range=..., start=..., this=<optimized out>) at /usr/include/oneapi/tbb/partitioner.h:288
#12 tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>::execute(tbb::detail::d1::execution_data&) (this=0x7fffd7ffbc00, ed=...) at /usr/include/oneapi/tbb/parallel_for.h:172
#13 0x00007ffff47d048b in  () at /usr/lib/libtbb.so.12
#14 0x00007ffff47d2169 in  () at /usr/lib/libtbb.so.12
#15 0x00007ffff789ebb5 in start_thread (arg=<optimized out>) at pthread_create.c:444
        ret = <optimized out>
        pd = <optimized out>
        unwind_buf = {cancel_jmp_buf = {{jmp_buf = {140737346398448, 4500072682925487445, -120, 0, 140736788962272, 140736209088512, -4500187032702257835, -4500055555341650603}, mask_was_saved = 0}}, priv = {pad = {0x0, 0x0, 0x0, 0x0}, data = {prev = 0x0, cleanup = 0x0, canceltype = 0}}}
        not_first_call = <optimized out>
#16 0x00007ffff7920d90 in clone3 () at ../sysdeps/unix/sysv/linux/x86_64/clone3.S:81

Thread 14 (Thread 0x7fffbbbfe6c0 (LWP 88879) "python"):
#0  syscall () at ../sysdeps/unix/sysv/linux/x86_64/syscall.S:38
#1  0x00007ffff47bebcc in  () at /usr/lib/libtbb.so.12
#2  0x00007ffff47d2394 in  () at /usr/lib/libtbb.so.12
#3  0x00007ffff789ebb5 in start_thread (arg=<optimized out>) at pthread_create.c:444
        ret = <optimized out>
        pd = <optimized out>
        unwind_buf = {cancel_jmp_buf = {{jmp_buf = {140737346398448, 4500072682925487445, -120, 0, 140736784763872, 140736339107840, -4500205173033503403, -4500055555341650603}, mask_was_saved = 0}}, priv = {pad = {0x0, 0x0, 0x0, 0x0}, data = {prev = 0x0, cleanup = 0x0, canceltype = 0}}}
        not_first_call = <optimized out>
#4  0x00007ffff7920d90 in clone3 () at ../sysdeps/unix/sysv/linux/x86_64/clone3.S:81

Thread 13 (Thread 0x7fffbbfff6c0 (LWP 88878) "python"):
#0  syscall () at ../sysdeps/unix/sysv/linux/x86_64/syscall.S:38
#1  0x00007ffff47bebcc in  () at /usr/lib/libtbb.so.12
#2  0x00007ffff47d2394 in  () at /usr/lib/libtbb.so.12
#3  0x00007ffff789ebb5 in start_thread (arg=<optimized out>) at pthread_create.c:444
        ret = <optimized out>
        pd = <optimized out>
        unwind_buf = {cancel_jmp_buf = {{jmp_buf = {140737346398448, 4500072682925487445, -120, 0, 140736770182112, 140736343306240, -4500204624888302251, -4500055555341650603}, mask_was_saved = 0}}, priv = {pad = {0x0, 0x0, 0x0, 0x0}, data = {prev = 0x0, cleanup = 0x0, canceltype = 0}}}
        not_first_call = <optimized out>
#4  0x00007ffff7920d90 in clone3 () at ../sysdeps/unix/sysv/linux/x86_64/clone3.S:81

Thread 12 (Thread 0x7fffd53196c0 (LWP 88874) "python"):
#0  syscall () at ../sysdeps/unix/sysv/linux/x86_64/syscall.S:38
#1  0x00007ffff47bebcc in  () at /usr/lib/libtbb.so.12
#2  0x00007ffff47d2394 in  () at /usr/lib/libtbb.so.12
#3  0x00007ffff789ebb5 in start_thread (arg=<optimized out>) at pthread_create.c:444
        ret = <optimized out>
        pd = <optimized out>
        unwind_buf = {cancel_jmp_buf = {{jmp_buf = {140737346398448, 4500072682925487445, -120, 0, 140736801557472, 140736765988864, -4499990891209525931, -4500055555341650603}, mask_was_saved = 0}}, priv = {pad = {0x0, 0x0, 0x0, 0x0}, data = {prev = 0x0, cleanup = 0x0, canceltype = 0}}}
        not_first_call = <optimized out>
#4  0x00007ffff7920d90 in clone3 () at ../sysdeps/unix/sysv/linux/x86_64/clone3.S:81

Thread 11 (Thread 0x7fffd4b176c0 (LWP 88875) "python"):
#0  __pthread_kill_implementation (threadid=<optimized out>, signo=signo@entry=6, no_tid=no_tid@entry=0) at pthread_kill.c:44
        tid = <optimized out>
        ret = 0
        pd = <optimized out>
        old_mask = {__val = {140736761785264}}
        ret = <optimized out>
#1  0x00007ffff78a0953 in __pthread_kill_internal (signo=6, threadid=<optimized out>) at pthread_kill.c:78
#2  0x00007ffff7851ea8 in __GI_raise (sig=sig@entry=6) at ../sysdeps/posix/raise.c:26
        ret = <optimized out>
#3  0x00007ffff783b53d in __GI_abort () at abort.c:79
        save_stage = 1
        act = {__sigaction_handler = {sa_handler = 0x20, sa_sigaction = 0x20}, sa_mask = {__val = {140737303369656, 1123, 140737303378672, 4626807579265270243, 13886011226911863506, 13811135661910888336, 4438133937327486238, 4655604046498931673, 13896217200942059896, 4620980768963580422, 13691616297657601744, 13855116590821773931, 4517281912448392543, 13915496426538293015, 4548319323965890047, 4696424940395958718}}, sa_flags = 1086401940, sa_restorer = 0xbf9bd1e53fc43986}
#4  0x00007ffff16d30e2 in std::__glibcxx_assert_fail(char const*, int, char const*, char const*) (file=<optimized out>, line=<optimized out>, function=<optimized out>, condition=<optimized out>) at /usr/src/debug/gcc/gcc/libstdc++-v3/src/c++11/debug.cc:60
#5  0x00007ffff4ddc39d in cv::dnn::runWinograd63(cv::_InputArray const&, cv::_InputArray const&, cv::_OutputArray const&, cv::Ptr<cv::dnn::FastConv> const&, int, float, float, cv::dnn::dnn4_v20221220::ActivationLayer*, bool)::{lambda(cv::Range const&)#2}::operator()(cv::Range const&) const () at /usr/include/c++/12.2.1/bits/stl_vector.h:1123
#6  0x00007ffff1c9717e in cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const (this=0x7fffffffc310, sr=...) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp:352
        __region_fn = {pImpl = 0x0, implFlags = 0}
        fp_denormals_scope = {saved_state = {reserved = {32832, 32832, 3640458282, 32767, 0, 0, 0, 0, 3621400192, 32767, 256, 0, 3568397464, 32767, 1231253760, 2871822242}}}
        r = {start = 5, end = 6}
        wholeRange = {start = 0, end = <optimized out>}
        nstripes = <optimized out>
        __cv_trace_location_fn318 = {ppExtra = 0x7ffff2a11b08 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_location_extra_fn318>, name = 0x7ffff26d56c0 "parallel_for_body", filename = 0x7ffff26d56f8 "/usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp", line = 318, flags = 1}
        __cv_trace_arg_range_start346 = {ppExtra = 0x7ffff2a11b00 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_arg_extra_range_start346>, name = 0x7ffff26d56a7 "range.start", flags = 0}
        __cv_trace_arg_range_end347 = {ppExtra = 0x7ffff2a11af8 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_arg_extra_range_end347>, name = 0x7ffff26d569d "range.end", flags = 0}
        __cv_trace_location_extra_fn318 = 0x0
        __cv_trace_arg_extra_range_start346 = 0x0
        __cv_trace_arg_extra_range_end347 = 0x0
#7  0x00007ffff1c8f6cb in cv::parallel_for_cb(int, int, void*) (start=<optimized out>, end=<optimized out>, data=<optimized out>) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp:541
#8  0x00007ffff1ca2d37 in cv::parallel::tbb::ParallelForBackend::CallbackProxy::operator()(tbb::detail::d1::blocked_range<int> const&) const (range=..., this=0x7fffd410fb50) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/include/opencv2/core/parallel/backend/parallel_for.tbb.hpp:79
#9  tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>::run_body(tbb::detail::d1::blocked_range<int>&) (r=..., this=0x7fffd410fb00) at /usr/include/oneapi/tbb/parallel_for.h:119
#10 tbb::detail::d1::dynamic_grainsize_mode<tbb::detail::d1::adaptive_mode<tbb::detail::d1::auto_partition_type> >::work_balance<tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>, tbb::detail::d1::blocked_range<int> >(tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>&, tbb::detail::d1::blocked_range<int>&, tbb::detail::d1::execution_data&) (ed=<optimized out>, range=<optimized out>, start=<optimized out>, this=<optimized out>) at /usr/include/oneapi/tbb/partitioner.h:447
#11 tbb::detail::d1::partition_type_base<tbb::detail::d1::auto_partition_type>::execute<tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>, tbb::detail::d1::blocked_range<int> >(tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>&, tbb::detail::d1::blocked_range<int>&, tbb::detail::d1::execution_data&) (ed=..., range=..., start=..., this=<optimized out>) at /usr/include/oneapi/tbb/partitioner.h:288
#12 tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>::execute(tbb::detail::d1::execution_data&) (this=0x7fffd410fb00, ed=...) at /usr/include/oneapi/tbb/parallel_for.h:172
#13 0x00007ffff47d048b in  () at /usr/lib/libtbb.so.12
#14 0x00007ffff47d2169 in  () at /usr/lib/libtbb.so.12
#15 0x00007ffff789ebb5 in start_thread (arg=<optimized out>) at pthread_create.c:444
        ret = <optimized out>
        pd = <optimized out>
        unwind_buf = {cancel_jmp_buf = {{jmp_buf = {140737346398448, 4500072682925487445, -120, 0, 140736793160672, 140736757592064, -4499991985352444587, -4500055555341650603}, mask_was_saved = 0}}, priv = {pad = {0x0, 0x0, 0x0, 0x0}, data = {prev = 0x0, cleanup = 0x0, canceltype = 0}}}
        not_first_call = <optimized out>
#16 0x00007ffff7920d90 in clone3 () at ../sysdeps/unix/sysv/linux/x86_64/clone3.S:81

Thread 10 (Thread 0x7fffd4f186c0 (LWP 88877) "python"):
#0  __pthread_kill_implementation (threadid=<optimized out>, signo=signo@entry=6, no_tid=no_tid@entry=0) at pthread_kill.c:44
        tid = <optimized out>
        ret = 0
        pd = <optimized out>
        old_mask = {__val = {140736765983664}}
        ret = <optimized out>
#1  0x00007ffff78a0953 in __pthread_kill_internal (signo=6, threadid=<optimized out>) at pthread_kill.c:78
#2  0x00007ffff7851ea8 in __GI_raise (sig=sig@entry=6) at ../sysdeps/posix/raise.c:26
        ret = <optimized out>
#3  0x00007ffff783b53d in __GI_abort () at abort.c:79
        save_stage = 1
        act = {__sigaction_handler = {sa_handler = 0x20, sa_sigaction = 0x20}, sa_mask = {__val = {140737303369656, 1123, 140737303378672, 4640320418256444273, 13895647473495347304, 13877113055434136847, 4506640873310585161, 4703176409935418035, 13900545029023862336, 13792253941980579023, 4443361737150326303, 4609176708451623770, 13882442594435296615, 4294993635971168927, 13640379957776147845, 4629313035559346386}}, sa_flags = -1067231061, sa_restorer = 0x3ef43ab53f9b75c3}
#4  0x00007ffff16d30e2 in std::__glibcxx_assert_fail(char const*, int, char const*, char const*) (file=<optimized out>, line=<optimized out>, function=<optimized out>, condition=<optimized out>) at /usr/src/debug/gcc/gcc/libstdc++-v3/src/c++11/debug.cc:60
#5  0x00007ffff4ddc39d in cv::dnn::runWinograd63(cv::_InputArray const&, cv::_InputArray const&, cv::_OutputArray const&, cv::Ptr<cv::dnn::FastConv> const&, int, float, float, cv::dnn::dnn4_v20221220::ActivationLayer*, bool)::{lambda(cv::Range const&)#2}::operator()(cv::Range const&) const () at /usr/include/c++/12.2.1/bits/stl_vector.h:1123
#6  0x00007ffff1c9717e in cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const (this=0x7fffffffc310, sr=...) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp:352
        __region_fn = {pImpl = 0x0, implFlags = 0}
        fp_denormals_scope = {saved_state = {reserved = {32832, 32832, 4, 0, 3621399168, 32767, 3624449408, 32767, 4294967281, 0, 3, 0, 3621399576, 32767, 1231253760, 2871822242}}}
        r = {start = 9, end = 10}
        wholeRange = {start = 0, end = <optimized out>}
        nstripes = <optimized out>
        __cv_trace_location_fn318 = {ppExtra = 0x7ffff2a11b08 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_location_extra_fn318>, name = 0x7ffff26d56c0 "parallel_for_body", filename = 0x7ffff26d56f8 "/usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp", line = 318, flags = 1}
        __cv_trace_arg_range_start346 = {ppExtra = 0x7ffff2a11b00 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_arg_extra_range_start346>, name = 0x7ffff26d56a7 "range.start", flags = 0}
        __cv_trace_arg_range_end347 = {ppExtra = 0x7ffff2a11af8 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_arg_extra_range_end347>, name = 0x7ffff26d569d "range.end", flags = 0}
        __cv_trace_location_extra_fn318 = 0x0
        __cv_trace_arg_extra_range_start346 = 0x0
        __cv_trace_arg_extra_range_end347 = 0x0
#7  0x00007ffff1c8f6cb in cv::parallel_for_cb(int, int, void*) (start=<optimized out>, end=<optimized out>, data=<optimized out>) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp:541
#8  0x00007ffff1ca2d37 in cv::parallel::tbb::ParallelForBackend::CallbackProxy::operator()(tbb::detail::d1::blocked_range<int> const&) const (range=..., this=0x7fffd802b950) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/include/opencv2/core/parallel/backend/parallel_for.tbb.hpp:79
#9  tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>::run_body(tbb::detail::d1::blocked_range<int>&) (r=..., this=0x7fffd802b900) at /usr/include/oneapi/tbb/parallel_for.h:119
#10 tbb::detail::d1::dynamic_grainsize_mode<tbb::detail::d1::adaptive_mode<tbb::detail::d1::auto_partition_type> >::work_balance<tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>, tbb::detail::d1::blocked_range<int> >(tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>&, tbb::detail::d1::blocked_range<int>&, tbb::detail::d1::execution_data&) (ed=<optimized out>, range=<optimized out>, start=<optimized out>, this=<optimized out>) at /usr/include/oneapi/tbb/partitioner.h:447
#11 tbb::detail::d1::partition_type_base<tbb::detail::d1::auto_partition_type>::execute<tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>, tbb::detail::d1::blocked_range<int> >(tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>&, tbb::detail::d1::blocked_range<int>&, tbb::detail::d1::execution_data&) (ed=..., range=..., start=..., this=<optimized out>) at /usr/include/oneapi/tbb/partitioner.h:288
#12 tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>::execute(tbb::detail::d1::execution_data&) (this=0x7fffd802b900, ed=...) at /usr/include/oneapi/tbb/parallel_for.h:172
#13 0x00007ffff47d048b in  () at /usr/lib/libtbb.so.12
#14 0x00007ffff47d2169 in  () at /usr/lib/libtbb.so.12
#15 0x00007ffff789ebb5 in start_thread (arg=<optimized out>) at pthread_create.c:444
        ret = <optimized out>
        pd = <optimized out>
        unwind_buf = {cancel_jmp_buf = {{jmp_buf = {140737346398448, 4500072682925487445, -120, 0, 140736788962272, 140736761790464, -4499991435059759787, -4500055555341650603}, mask_was_saved = 0}}, priv = {pad = {0x0, 0x0, 0x0, 0x0}, data = {prev = 0x0, cleanup = 0x0, canceltype = 0}}}
        not_first_call = <optimized out>
#16 0x00007ffff7920d90 in clone3 () at ../sysdeps/unix/sysv/linux/x86_64/clone3.S:81

Thread 9 (Thread 0x7fffd47166c0 (LWP 88876) "python"):
#0  __pthread_kill_implementation (threadid=<optimized out>, signo=signo@entry=6, no_tid=no_tid@entry=0) at pthread_kill.c:44
        tid = <optimized out>
        ret = 0
        pd = <optimized out>
        old_mask = {__val = {140736757586864}}
        ret = <optimized out>
#1  0x00007ffff78a0953 in __pthread_kill_internal (signo=6, threadid=<optimized out>) at pthread_kill.c:78
#2  0x00007ffff7851ea8 in __GI_raise (sig=sig@entry=6) at ../sysdeps/posix/raise.c:26
        ret = <optimized out>
#3  0x00007ffff783b53d in __GI_abort () at abort.c:79
        save_stage = 1
        act = {__sigaction_handler = {sa_handler = 0x20, sa_sigaction = 0x20}, sa_mask = {__val = {140737303369656, 1123, 140737303378672, 4544272043122112665, 13871667902315443557, 13922050714146502192, 4527668159184103443, 4738301560878176802, 4526422045297842462, 13799368486588218589, 4343539024241645632, 4672649257723041981, 4650567228855543698, 13852976999200628749, 4494522612317283533, 4601189392126149620}}, sa_flags = 1068731116, sa_restorer = 0x3fb237ed3fe2b2d1}
#4  0x00007ffff16d30e2 in std::__glibcxx_assert_fail(char const*, int, char const*, char const*) (file=<optimized out>, line=<optimized out>, function=<optimized out>, condition=<optimized out>) at /usr/src/debug/gcc/gcc/libstdc++-v3/src/c++11/debug.cc:60
#5  0x00007ffff4ddc39d in cv::dnn::runWinograd63(cv::_InputArray const&, cv::_InputArray const&, cv::_OutputArray const&, cv::Ptr<cv::dnn::FastConv> const&, int, float, float, cv::dnn::dnn4_v20221220::ActivationLayer*, bool)::{lambda(cv::Range const&)#2}::operator()(cv::Range const&) const () at /usr/include/c++/12.2.1/bits/stl_vector.h:1123
#6  0x00007ffff1c9717e in cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const (this=0x7fffffffc310, sr=...) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp:352
        __region_fn = {pImpl = 0x0, implFlags = 0}
        fp_denormals_scope = {saved_state = {reserved = {32832, 32832, 3640458282, 32767, 3, 0, 3640545136, 32767, 3621401472, 32767, 256, 0, 3564199064, 32767, 1231253760, 2871822242}}}
        r = {start = 13, end = 14}
        wholeRange = {start = 0, end = <optimized out>}
        nstripes = <optimized out>
        __cv_trace_location_fn318 = {ppExtra = 0x7ffff2a11b08 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_location_extra_fn318>, name = 0x7ffff26d56c0 "parallel_for_body", filename = 0x7ffff26d56f8 "/usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp", line = 318, flags = 1}
        __cv_trace_arg_range_start346 = {ppExtra = 0x7ffff2a11b00 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_arg_extra_range_start346>, name = 0x7ffff26d56a7 "range.start", flags = 0}
        __cv_trace_arg_range_end347 = {ppExtra = 0x7ffff2a11af8 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_arg_extra_range_end347>, name = 0x7ffff26d569d "range.end", flags = 0}
        __cv_trace_location_extra_fn318 = 0x0
        __cv_trace_arg_extra_range_start346 = 0x0
        __cv_trace_arg_extra_range_end347 = 0x0
#7  0x00007ffff1c8f6cb in cv::parallel_for_cb(int, int, void*) (start=<optimized out>, end=<optimized out>, data=<optimized out>) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp:541
#8  0x00007ffff1ca2d37 in cv::parallel::tbb::ParallelForBackend::CallbackProxy::operator()(tbb::detail::d1::blocked_range<int> const&) const (range=..., this=0x7fffd800ba50) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/include/opencv2/core/parallel/backend/parallel_for.tbb.hpp:79
#9  tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>::run_body(tbb::detail::d1::blocked_range<int>&) (r=..., this=0x7fffd800ba00) at /usr/include/oneapi/tbb/parallel_for.h:119
#10 tbb::detail::d1::dynamic_grainsize_mode<tbb::detail::d1::adaptive_mode<tbb::detail::d1::auto_partition_type> >::work_balance<tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>, tbb::detail::d1::blocked_range<int> >(tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>&, tbb::detail::d1::blocked_range<int>&, tbb::detail::d1::execution_data&) (ed=<optimized out>, range=<optimized out>, start=<optimized out>, this=<optimized out>) at /usr/include/oneapi/tbb/partitioner.h:447
#11 tbb::detail::d1::partition_type_base<tbb::detail::d1::auto_partition_type>::execute<tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>, tbb::detail::d1::blocked_range<int> >(tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>&, tbb::detail::d1::blocked_range<int>&, tbb::detail::d1::execution_data&) (ed=..., range=..., start=..., this=<optimized out>) at /usr/include/oneapi/tbb/partitioner.h:288
#12 tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>::execute(tbb::detail::d1::execution_data&) (this=0x7fffd800ba00, ed=...) at /usr/include/oneapi/tbb/parallel_for.h:172
#13 0x00007ffff47d048b in  () at /usr/lib/libtbb.so.12
#14 0x00007ffff47d2169 in  () at /usr/lib/libtbb.so.12
#15 0x00007ffff789ebb5 in start_thread (arg=<optimized out>) at pthread_create.c:444
        ret = <optimized out>
        pd = <optimized out>
        unwind_buf = {cancel_jmp_buf = {{jmp_buf = {140737346398448, 4500072682925487445, -120, 0, 140736784763872, 140736753393664, -4499992533497645739, -4500055555341650603}, mask_was_saved = 0}}, priv = {pad = {0x0, 0x0, 0x0, 0x0}, data = {prev = 0x0, cleanup = 0x0, canceltype = 0}}}
        not_first_call = <optimized out>
#16 0x00007ffff7920d90 in clone3 () at ../sysdeps/unix/sysv/linux/x86_64/clone3.S:81

Thread 8 (Thread 0x7fffd571a6c0 (LWP 88873) "python"):
#0  syscall () at ../sysdeps/unix/sysv/linux/x86_64/syscall.S:38
#1  0x00007ffff47bebcc in  () at /usr/lib/libtbb.so.12
#2  0x00007ffff47d2394 in  () at /usr/lib/libtbb.so.12
#3  0x00007ffff789ebb5 in start_thread (arg=<optimized out>) at pthread_create.c:444
        ret = <optimized out>
        pd = <optimized out>
        unwind_buf = {cancel_jmp_buf = {{jmp_buf = {140737346398448, 4500072682925487445, -120, 0, 140736797359072, 140736770187264, -4499990340916841131, -4500055555341650603}, mask_was_saved = 0}}, priv = {pad = {0x0, 0x0, 0x0, 0x0}, data = {prev = 0x0, cleanup = 0x0, canceltype = 0}}}
        not_first_call = <optimized out>
#4  0x00007ffff7920d90 in clone3 () at ../sysdeps/unix/sysv/linux/x86_64/clone3.S:81

Thread 7 (Thread 0x7fffd65026c0 (LWP 88871) "python"):
#0  __pthread_kill_implementation (threadid=<optimized out>, signo=signo@entry=6, no_tid=no_tid@entry=0) at pthread_kill.c:44
        tid = <optimized out>
        ret = 0
        pd = <optimized out>
        old_mask = {__val = {140736788962224}}
        ret = <optimized out>
#1  0x00007ffff78a0953 in __pthread_kill_internal (signo=6, threadid=<optimized out>) at pthread_kill.c:78
#2  0x00007ffff7851ea8 in __GI_raise (sig=sig@entry=6) at ../sysdeps/posix/raise.c:26
        ret = <optimized out>
#3  0x00007ffff783b53d in __GI_abort () at abort.c:79
        save_stage = 1
        act = {__sigaction_handler = {sa_handler = 0x20, sa_sigaction = 0x20}, sa_mask = {__val = {140737303369656, 1123, 140737303378672, 4562628939516451852, 13914944379304295780, 13892031293587905257, 4540041453138447827, 4648516830753528380, 13943169907986799905, 13806385870464735804, 13631524388028498028, 4659106553662441569, 4615145667191504319, 13907839470502232827, 4522483665480081787, 4697464758395938816}}, sa_flags = 1056369236, sa_restorer = 0xbf02708141118b76}
#4  0x00007ffff16d30e2 in std::__glibcxx_assert_fail(char const*, int, char const*, char const*) (file=<optimized out>, line=<optimized out>, function=<optimized out>, condition=<optimized out>) at /usr/src/debug/gcc/gcc/libstdc++-v3/src/c++11/debug.cc:60
#5  0x00007ffff4ddc39d in cv::dnn::runWinograd63(cv::_InputArray const&, cv::_InputArray const&, cv::_OutputArray const&, cv::Ptr<cv::dnn::FastConv> const&, int, float, float, cv::dnn::dnn4_v20221220::ActivationLayer*, bool)::{lambda(cv::Range const&)#2}::operator()(cv::Range const&) const () at /usr/include/c++/12.2.1/bits/stl_vector.h:1123
#6  0x00007ffff1c9717e in cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const (this=0x7fffffffc310, sr=...) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp:352
        __region_fn = {pImpl = 0x0, implFlags = 0}
        fp_denormals_scope = {saved_state = {reserved = {32832, 32832, 3640458282, 32767, 3221229168, 32767, 131472, 0, 3621403008, 32767, 256, 0, 3595574424, 32767, 1231253760, 2871822242}}}
        r = {start = 7, end = 8}
        wholeRange = {start = 0, end = <optimized out>}
        nstripes = <optimized out>
        __cv_trace_location_fn318 = {ppExtra = 0x7ffff2a11b08 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_location_extra_fn318>, name = 0x7ffff26d56c0 "parallel_for_body", filename = 0x7ffff26d56f8 "/usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp", line = 318, flags = 1}
        __cv_trace_arg_range_start346 = {ppExtra = 0x7ffff2a11b00 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_arg_extra_range_start346>, name = 0x7ffff26d56a7 "range.start", flags = 0}
        __cv_trace_arg_range_end347 = {ppExtra = 0x7ffff2a11af8 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_arg_extra_range_end347>, name = 0x7ffff26d569d "range.end", flags = 0}
        __cv_trace_location_extra_fn318 = 0x0
        __cv_trace_arg_extra_range_start346 = 0x0
        __cv_trace_arg_extra_range_end347 = 0x0
#7  0x00007ffff1c8f6cb in cv::parallel_for_cb(int, int, void*) (start=<optimized out>, end=<optimized out>, data=<optimized out>) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp:541
#8  0x00007ffff1ca2d37 in cv::parallel::tbb::ParallelForBackend::CallbackProxy::operator()(tbb::detail::d1::blocked_range<int> const&) const (range=..., this=0x7fffd803b950) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/include/opencv2/core/parallel/backend/parallel_for.tbb.hpp:79
#9  tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>::run_body(tbb::detail::d1::blocked_range<int>&) (r=..., this=0x7fffd803b900) at /usr/include/oneapi/tbb/parallel_for.h:119
#10 tbb::detail::d1::dynamic_grainsize_mode<tbb::detail::d1::adaptive_mode<tbb::detail::d1::auto_partition_type> >::work_balance<tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>, tbb::detail::d1::blocked_range<int> >(tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>&, tbb::detail::d1::blocked_range<int>&, tbb::detail::d1::execution_data&) (ed=<optimized out>, range=<optimized out>, start=<optimized out>, this=<optimized out>) at /usr/include/oneapi/tbb/partitioner.h:447
#11 tbb::detail::d1::partition_type_base<tbb::detail::d1::auto_partition_type>::execute<tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>, tbb::detail::d1::blocked_range<int> >(tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>&, tbb::detail::d1::blocked_range<int>&, tbb::detail::d1::execution_data&) (ed=..., range=..., start=..., this=<optimized out>) at /usr/include/oneapi/tbb/partitioner.h:288
#12 tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>::execute(tbb::detail::d1::execution_data&) (this=0x7fffd803b900, ed=...) at /usr/include/oneapi/tbb/parallel_for.h:172
#13 0x00007ffff47d048b in  () at /usr/lib/libtbb.so.12
#14 0x00007ffff47d2169 in  () at /usr/lib/libtbb.so.12
#15 0x00007ffff789ebb5 in start_thread (arg=<optimized out>) at pthread_create.c:444
        ret = <optimized out>
        pd = <optimized out>
        unwind_buf = {cancel_jmp_buf = {{jmp_buf = {140737346398448, 4500072682925487445, -120, 0, 140736805755872, 140736784769024, -4499987854130776747, -4500055555341650603}, mask_was_saved = 0}}, priv = {pad = {0x0, 0x0, 0x0, 0x0}, data = {prev = 0x0, cleanup = 0x0, canceltype = 0}}}
        not_first_call = <optimized out>
#16 0x00007ffff7920d90 in clone3 () at ../sysdeps/unix/sysv/linux/x86_64/clone3.S:81

Thread 6 (Thread 0x7fffd61016c0 (LWP 88872) "python"):
#0  syscall () at ../sysdeps/unix/sysv/linux/x86_64/syscall.S:38
#1  0x00007ffff47bebcc in  () at /usr/lib/libtbb.so.12
#2  0x00007ffff47d2394 in  () at /usr/lib/libtbb.so.12
#3  0x00007ffff789ebb5 in start_thread (arg=<optimized out>) at pthread_create.c:444
        ret = <optimized out>
        pd = <optimized out>
        unwind_buf = {cancel_jmp_buf = {{jmp_buf = {140737346398448, 4500072682925487445, -120, 0, 140736797359072, 140736780570624, -4499988404423461547, -4500055555341650603}, mask_was_saved = 0}}, priv = {pad = {0x0, 0x0, 0x0, 0x0}, data = {prev = 0x0, cleanup = 0x0, canceltype = 0}}}
        not_first_call = <optimized out>
#4  0x00007ffff7920d90 in clone3 () at ../sysdeps/unix/sysv/linux/x86_64/clone3.S:81

Thread 5 (Thread 0x7fffd69036c0 (LWP 88870) "python"):
#0  syscall () at ../sysdeps/unix/sysv/linux/x86_64/syscall.S:38
#1  0x00007ffff47bebcc in  () at /usr/lib/libtbb.so.12
#2  0x00007ffff47d2394 in  () at /usr/lib/libtbb.so.12
#3  0x00007ffff789ebb5 in start_thread (arg=<optimized out>) at pthread_create.c:444
        ret = <optimized out>
        pd = <optimized out>
        unwind_buf = {cancel_jmp_buf = {{jmp_buf = {140737346398448, 4500072682925487445, -120, 0, 140736801557472, 140736788967424, -4499987305985575595, -4500055555341650603}, mask_was_saved = 0}}, priv = {pad = {0x0, 0x0, 0x0, 0x0}, data = {prev = 0x0, cleanup = 0x0, canceltype = 0}}}
        not_first_call = <optimized out>
#4  0x00007ffff7920d90 in clone3 () at ../sysdeps/unix/sysv/linux/x86_64/clone3.S:81

Thread 4 (Thread 0x7fffd6d046c0 (LWP 88869) "python"):
#0  syscall () at ../sysdeps/unix/sysv/linux/x86_64/syscall.S:38
#1  0x00007ffff47bebcc in  () at /usr/lib/libtbb.so.12
#2  0x00007ffff47d2394 in  () at /usr/lib/libtbb.so.12
#3  0x00007ffff789ebb5 in start_thread (arg=<optimized out>) at pthread_create.c:444
        ret = <optimized out>
        pd = <optimized out>
        unwind_buf = {cancel_jmp_buf = {{jmp_buf = {140737346398448, 4500072682925487445, -120, 0, 140736805755872, 140736793165824, -4499986755692890795, -4500055555341650603}, mask_was_saved = 0}}, priv = {pad = {0x0, 0x0, 0x0, 0x0}, data = {prev = 0x0, cleanup = 0x0, canceltype = 0}}}
        not_first_call = <optimized out>
#4  0x00007ffff7920d90 in clone3 () at ../sysdeps/unix/sysv/linux/x86_64/clone3.S:81

Thread 3 (Thread 0x7fffd71056c0 (LWP 88868) "python"):
#0  __pthread_kill_implementation (threadid=<optimized out>, signo=signo@entry=6, no_tid=no_tid@entry=0) at pthread_kill.c:44
        tid = <optimized out>
        ret = 0
        pd = <optimized out>
        old_mask = {__val = {140736801557424}}
        ret = <optimized out>
#1  0x00007ffff78a0953 in __pthread_kill_internal (signo=6, threadid=<optimized out>) at pthread_kill.c:78
#2  0x00007ffff7851ea8 in __GI_raise (sig=sig@entry=6) at ../sysdeps/posix/raise.c:26
        ret = <optimized out>
#3  0x00007ffff783b53d in __GI_abort () at abort.c:79
        save_stage = 1
        act = {__sigaction_handler = {sa_handler = 0x20, sa_sigaction = 0x20}, sa_mask = {__val = {140737303369656, 1123, 140737303378672, 4561345388536872591, 13876338254034813230, 4610616224771728216, 13694182555666598585, 13896795831799728188, 4688465150554814923, 4461606431785567285, 4441111440586373284, 13765291043506538568, 13897046672930284348, 13903357238350398143, 4507848341093881731, 4715190968905362051}}, sa_flags = 1084874186, sa_restorer = 0x3f69ca26bf70b161}
#4  0x00007ffff16d30e2 in std::__glibcxx_assert_fail(char const*, int, char const*, char const*) (file=<optimized out>, line=<optimized out>, function=<optimized out>, condition=<optimized out>) at /usr/src/debug/gcc/gcc/libstdc++-v3/src/c++11/debug.cc:60
#5  0x00007ffff4ddc39d in cv::dnn::runWinograd63(cv::_InputArray const&, cv::_InputArray const&, cv::_OutputArray const&, cv::Ptr<cv::dnn::FastConv> const&, int, float, float, cv::dnn::dnn4_v20221220::ActivationLayer*, bool)::{lambda(cv::Range const&)#2}::operator()(cv::Range const&) const () at /usr/include/c++/12.2.1/bits/stl_vector.h:1123
#6  0x00007ffff1c9717e in cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const (this=0x7fffffffc310, sr=...) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp:352
        __region_fn = {pImpl = 0x0, implFlags = 0}
        fp_denormals_scope = {saved_state = {reserved = {32832, 32832, 3640458282, 32767, 3, 0, 3640545136, 32767, 3621400960, 32767, 256, 0, 3608169624, 32767, 1231253760, 2871822242}}}
        r = {start = 15, end = 16}
        wholeRange = {start = 0, end = <optimized out>}
        nstripes = <optimized out>
        __cv_trace_location_fn318 = {ppExtra = 0x7ffff2a11b08 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_location_extra_fn318>, name = 0x7ffff26d56c0 "parallel_for_body", filename = 0x7ffff26d56f8 "/usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp", line = 318, flags = 1}
        __cv_trace_arg_range_start346 = {ppExtra = 0x7ffff2a11b00 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_arg_extra_range_start346>, name = 0x7ffff26d56a7 "range.start", flags = 0}
        __cv_trace_arg_range_end347 = {ppExtra = 0x7ffff2a11af8 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_arg_extra_range_end347>, name = 0x7ffff26d569d "range.end", flags = 0}
        __cv_trace_location_extra_fn318 = 0x0
        __cv_trace_arg_extra_range_start346 = 0x0
        __cv_trace_arg_extra_range_end347 = 0x0
#7  0x00007ffff1c8f6cb in cv::parallel_for_cb(int, int, void*) (start=<optimized out>, end=<optimized out>, data=<optimized out>) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp:541
#8  0x00007ffff1ca2d37 in cv::parallel::tbb::ParallelForBackend::CallbackProxy::operator()(tbb::detail::d1::blocked_range<int> const&) const (range=..., this=0x7fffd8013c50) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/include/opencv2/core/parallel/backend/parallel_for.tbb.hpp:79
#9  tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>::run_body(tbb::detail::d1::blocked_range<int>&) (r=..., this=0x7fffd8013c00) at /usr/include/oneapi/tbb/parallel_for.h:119
#10 tbb::detail::d1::dynamic_grainsize_mode<tbb::detail::d1::adaptive_mode<tbb::detail::d1::auto_partition_type> >::work_balance<tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>, tbb::detail::d1::blocked_range<int> >(tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>&, tbb::detail::d1::blocked_range<int>&, tbb::detail::d1::execution_data&) (ed=<optimized out>, range=<optimized out>, start=<optimized out>, this=<optimized out>) at /usr/include/oneapi/tbb/partitioner.h:447
#11 tbb::detail::d1::partition_type_base<tbb::detail::d1::auto_partition_type>::execute<tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>, tbb::detail::d1::blocked_range<int> >(tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>&, tbb::detail::d1::blocked_range<int>&, tbb::detail::d1::execution_data&) (ed=..., range=..., start=..., this=<optimized out>) at /usr/include/oneapi/tbb/partitioner.h:288
#12 tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>::execute(tbb::detail::d1::execution_data&) (this=0x7fffd8013c00, ed=...) at /usr/include/oneapi/tbb/parallel_for.h:172
#13 0x00007ffff47d048b in  () at /usr/lib/libtbb.so.12
#14 0x00007ffff47d2169 in  () at /usr/lib/libtbb.so.12
#15 0x00007ffff789ebb5 in start_thread (arg=<optimized out>) at pthread_create.c:444
        ret = <optimized out>
        pd = <optimized out>
        unwind_buf = {cancel_jmp_buf = {{jmp_buf = {140737346398448, 4500072682925487445, -120, 0, 140737488339376, 140736797364224, -4499986203252722347, -4500055555341650603}, mask_was_saved = 0}}, priv = {pad = {0x0, 0x0, 0x0, 0x0}, data = {prev = 0x0, cleanup = 0x0, canceltype = 0}}}
        not_first_call = <optimized out>
#16 0x00007ffff7920d90 in clone3 () at ../sysdeps/unix/sysv/linux/x86_64/clone3.S:81

Thread 2 (Thread 0x7fffd75066c0 (LWP 88867) "python"):
#0  __pthread_kill_implementation (threadid=<optimized out>, signo=signo@entry=6, no_tid=no_tid@entry=0) at pthread_kill.c:44
        tid = <optimized out>
        ret = 0
        pd = <optimized out>
        old_mask = {__val = {140736805755824}}
        ret = <optimized out>
#1  0x00007ffff78a0953 in __pthread_kill_internal (signo=6, threadid=<optimized out>) at pthread_kill.c:78
#2  0x00007ffff7851ea8 in __GI_raise (sig=sig@entry=6) at ../sysdeps/posix/raise.c:26
        ret = <optimized out>
#3  0x00007ffff783b53d in __GI_abort () at abort.c:79
        save_stage = 1
        act = {__sigaction_handler = {sa_handler = 0x20, sa_sigaction = 0x20}, sa_mask = {__val = {140737303369656, 1123, 140737303378672, 13873673533895368328, 13870616520056727249, 4654080413341482347, 13662030711811366050, 13938989141683818567, 13884999113598896100, 4592779818286089365, 13658113237775764625, 13853459626809272477, 13866870005098831255, 4617302717879836361, 13619575941493272324, 13889797592720453954}}, sa_flags = 1088296539, sa_restorer = 0x3f9f3497c06e542d}
#4  0x00007ffff16d30e2 in std::__glibcxx_assert_fail(char const*, int, char const*, char const*) (file=<optimized out>, line=<optimized out>, function=<optimized out>, condition=<optimized out>) at /usr/src/debug/gcc/gcc/libstdc++-v3/src/c++11/debug.cc:60
#5  0x00007ffff4ddc39d in cv::dnn::runWinograd63(cv::_InputArray const&, cv::_InputArray const&, cv::_OutputArray const&, cv::Ptr<cv::dnn::FastConv> const&, int, float, float, cv::dnn::dnn4_v20221220::ActivationLayer*, bool)::{lambda(cv::Range const&)#2}::operator()(cv::Range const&) const () at /usr/include/c++/12.2.1/bits/stl_vector.h:1123
#6  0x00007ffff1c9717e in cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const (this=0x7fffffffc310, sr=...) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp:352
        __region_fn = {pImpl = 0x0, implFlags = 0}
        fp_denormals_scope = {saved_state = {reserved = {32832, 32832, 2, 0, 3621399168, 32767, 3624449408, 32767, 4294967281, 0, 1, 0, 3621399576, 32767, 1231253760, 2871822242}}}
        r = {start = 3, end = 4}
        wholeRange = {start = 0, end = <optimized out>}
        nstripes = <optimized out>
        __cv_trace_location_fn318 = {ppExtra = 0x7ffff2a11b08 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_location_extra_fn318>, name = 0x7ffff26d56c0 "parallel_for_body", filename = 0x7ffff26d56f8 "/usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp", line = 318, flags = 1}
        __cv_trace_arg_range_start346 = {ppExtra = 0x7ffff2a11b00 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_arg_extra_range_start346>, name = 0x7ffff26d56a7 "range.start", flags = 0}
        __cv_trace_arg_range_end347 = {ppExtra = 0x7ffff2a11af8 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_arg_extra_range_end347>, name = 0x7ffff26d569d "range.end", flags = 0}
        __cv_trace_location_extra_fn318 = 0x0
        __cv_trace_arg_extra_range_start346 = 0x0
        __cv_trace_arg_extra_range_end347 = 0x0
#7  0x00007ffff1c8f6cb in cv::parallel_for_cb(int, int, void*) (start=<optimized out>, end=<optimized out>, data=<optimized out>) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp:541
#8  0x00007ffff1ca2d37 in cv::parallel::tbb::ParallelForBackend::CallbackProxy::operator()(tbb::detail::d1::blocked_range<int> const&) const (range=..., this=0x7fffd801b850) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/include/opencv2/core/parallel/backend/parallel_for.tbb.hpp:79
#9  tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>::run_body(tbb::detail::d1::blocked_range<int>&) (r=..., this=0x7fffd801b800) at /usr/include/oneapi/tbb/parallel_for.h:119
#10 tbb::detail::d1::dynamic_grainsize_mode<tbb::detail::d1::adaptive_mode<tbb::detail::d1::auto_partition_type> >::work_balance<tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>, tbb::detail::d1::blocked_range<int> >(tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>&, tbb::detail::d1::blocked_range<int>&, tbb::detail::d1::execution_data&) (ed=<optimized out>, range=<optimized out>, start=<optimized out>, this=<optimized out>) at /usr/include/oneapi/tbb/partitioner.h:447
#11 tbb::detail::d1::partition_type_base<tbb::detail::d1::auto_partition_type>::execute<tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>, tbb::detail::d1::blocked_range<int> >(tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>&, tbb::detail::d1::blocked_range<int>&, tbb::detail::d1::execution_data&) (ed=..., range=..., start=..., this=<optimized out>) at /usr/include/oneapi/tbb/partitioner.h:288
#12 tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>::execute(tbb::detail::d1::execution_data&) (this=0x7fffd801b800, ed=...) at /usr/include/oneapi/tbb/parallel_for.h:172
#13 0x00007ffff47d048b in  () at /usr/lib/libtbb.so.12
#14 0x00007ffff47d2169 in  () at /usr/lib/libtbb.so.12
#15 0x00007ffff789ebb5 in start_thread (arg=<optimized out>) at pthread_create.c:444
        ret = <optimized out>
        pd = <optimized out>
        unwind_buf = {cancel_jmp_buf = {{jmp_buf = {140737346398448, 4500072682925487445, -120, 0, 140737488339376, 140736801562624, -4499985652960037547, -4500055555341650603}, mask_was_saved = 0}}, priv = {pad = {0x0, 0x0, 0x0, 0x0}, data = {prev = 0x0, cleanup = 0x0, canceltype = 0}}}
        not_first_call = <optimized out>
#16 0x00007ffff7920d90 in clone3 () at ../sysdeps/unix/sysv/linux/x86_64/clone3.S:81

Thread 1 (Thread 0x7ffff7e9f740 (LWP 88855) "python"):
#0  __pthread_kill_implementation (threadid=<optimized out>, signo=signo@entry=6, no_tid=no_tid@entry=0) at pthread_kill.c:44
        tid = <optimized out>
        ret = 0
        pd = <optimized out>
        old_mask = {__val = {140737488338000}}
        ret = <optimized out>
#1  0x00007ffff78a0953 in __pthread_kill_internal (signo=6, threadid=<optimized out>) at pthread_kill.c:78
#2  0x00007ffff7851ea8 in __GI_raise (sig=sig@entry=6) at ../sysdeps/posix/raise.c:26
        ret = <optimized out>
#3  0x00007ffff783b53d in __GI_abort () at abort.c:79
        save_stage = 1
        act = {__sigaction_handler = {sa_handler = 0x20, sa_sigaction = 0x20}, sa_mask = {__val = {140737303369656, 1123, 140737303378672, 13833123736189950692, 4685320300312317885, 4659116146519527738, 13720485092161078738, 13909435819614340498, 4474339641910513024, 13815538542400572928, 4476298484134131101, 4617353596028552130, 13885874483762913256, 13916716673961484753, 4555955453717471608, 4706705109906733975}}, sa_flags = -1088407454, sa_restorer = 0x3ec5365c3e9bb7b2}
#4  0x00007ffff16d30e2 in std::__glibcxx_assert_fail(char const*, int, char const*, char const*) (file=<optimized out>, line=<optimized out>, function=<optimized out>, condition=<optimized out>) at /usr/src/debug/gcc/gcc/libstdc++-v3/src/c++11/debug.cc:60
#5  0x00007ffff4ddc39d in cv::dnn::runWinograd63(cv::_InputArray const&, cv::_InputArray const&, cv::_OutputArray const&, cv::Ptr<cv::dnn::FastConv> const&, int, float, float, cv::dnn::dnn4_v20221220::ActivationLayer*, bool)::{lambda(cv::Range const&)#2}::operator()(cv::Range const&) const () at /usr/include/c++/12.2.1/bits/stl_vector.h:1123
#6  0x00007ffff1c9717e in cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const (this=0x7fffffffc310, sr=...) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp:352
        __region_fn = {pImpl = 0x0, implFlags = 0}
        fp_denormals_scope = {saved_state = {reserved = {32832, 32832, 3621403784, 32767, 3621403776, 32767, 0, 0, 1, 0, 10, 0, 3621399680, 32767, 1231253760, 2871822242}}}
        r = {start = 1, end = 2}
        wholeRange = {start = 0, end = <optimized out>}
        nstripes = <optimized out>
        __cv_trace_location_fn318 = {ppExtra = 0x7ffff2a11b08 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_location_extra_fn318>, name = 0x7ffff26d56c0 "parallel_for_body", filename = 0x7ffff26d56f8 "/usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp", line = 318, flags = 1}
        __cv_trace_arg_range_start346 = {ppExtra = 0x7ffff2a11b00 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_arg_extra_range_start346>, name = 0x7ffff26d56a7 "range.start", flags = 0}
        __cv_trace_arg_range_end347 = {ppExtra = 0x7ffff2a11af8 <cv::(anonymous namespace)::ParallelLoopBodyWrapper::operator()(cv::Range const&) const::__cv_trace_arg_extra_range_end347>, name = 0x7ffff26d569d "range.end", flags = 0}
        __cv_trace_location_extra_fn318 = 0x0
        __cv_trace_arg_extra_range_start346 = 0x0
        __cv_trace_arg_extra_range_end347 = 0x0
#7  0x00007ffff1c8f6cb in cv::parallel_for_cb(int, int, void*) (start=<optimized out>, end=<optimized out>, data=<optimized out>) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp:541
#8  0x00007ffff1ca2d37 in cv::parallel::tbb::ParallelForBackend::CallbackProxy::operator()(tbb::detail::d1::blocked_range<int> const&) const (range=..., this=0x7fffd807ba50) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/include/opencv2/core/parallel/backend/parallel_for.tbb.hpp:79
#9  tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>::run_body(tbb::detail::d1::blocked_range<int>&) (r=..., this=0x7fffd807ba00) at /usr/include/oneapi/tbb/parallel_for.h:119
#10 tbb::detail::d1::dynamic_grainsize_mode<tbb::detail::d1::adaptive_mode<tbb::detail::d1::auto_partition_type> >::work_balance<tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>, tbb::detail::d1::blocked_range<int> >(tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>&, tbb::detail::d1::blocked_range<int>&, tbb::detail::d1::execution_data&) (ed=<optimized out>, range=<optimized out>, start=<optimized out>, this=<optimized out>) at /usr/include/oneapi/tbb/partitioner.h:447
#11 tbb::detail::d1::partition_type_base<tbb::detail::d1::auto_partition_type>::execute<tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>, tbb::detail::d1::blocked_range<int> >(tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>&, tbb::detail::d1::blocked_range<int>&, tbb::detail::d1::execution_data&) (ed=..., range=..., start=..., this=<optimized out>) at /usr/include/oneapi/tbb/partitioner.h:288
#12 tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>::execute(tbb::detail::d1::execution_data&) (this=0x7fffd807ba00, ed=...) at /usr/include/oneapi/tbb/parallel_for.h:172
#13 0x00007ffff47d81b3 in  () at /usr/lib/libtbb.so.12
#14 0x00007ffff1ca2c0d in tbb::detail::d1::execute_and_wait(tbb::detail::d1::task&, tbb::detail::d1::task_group_context&, tbb::detail::d1::wait_context&, tbb::detail::d1::task_group_context&) (w_ctx=..., wait_ctx=..., t_ctx=..., t=..., t=<optimized out>, t_ctx=<optimized out>, wait_ctx=<optimized out>, w_ctx=<optimized out>) at /usr/include/oneapi/tbb/detail/_task.h:191
        alloc = {m_pool = 0x7fffd807be00}
        for_task = @0x7fffd807bb00: {<tbb::detail::d1::task> = {<tbb::detail::d1::task_traits> = {m_version_and_traits = 0}, _vptr.task = 0x7fffd807b700, m_reserved = {140737488338752, 0, 0, 0, 0, 0}}, my_range = {my_end = 1, my_begin = 0, my_grainsize = 1}, my_body = {callback = @0x7fffffffc2f8, callback_data = 0x7fffffffc310, tasks = 16}, my_parent = 0x7fffd807bc00, my_partition = {<tbb::detail::d1::dynamic_grainsize_mode<tbb::detail::d1::adaptive_mode<tbb::detail::d1::auto_partition_type> >> = {<tbb::detail::d1::adaptive_mode<tbb::detail::d1::auto_partition_type>> = {<tbb::detail::d1::partition_type_base<tbb::detail::d1::auto_partition_type>> = {<No data fields>}, my_divisor = 2, static factor = 1}, my_delay = tbb::detail::d1::dynamic_grainsize_mode<tbb::detail::d1::adaptive_mode<tbb::detail::d1::auto_partition_type> >::begin, my_max_depth = 5 '\005'}, <No data fields>}, my_allocator = {m_pool = 0x7fffd807be00}}
        wn = {<tbb::detail::d1::node> = {my_parent = 0x0, m_ref_count = std::atomic<int> = { 1 }}, m_wait = {static overflow_mask = 18446744069414584320, m_version_and_traits = 1, m_ref_count = std::atomic<unsigned long> = { 1 }}}
        context = {<tbb::detail::d0::no_copy> = {<tbb::detail::d0::no_assign> = {<No data fields>}, <No data fields>}, my_cpu_ctl_env = 3843995770816, my_cancellation_requested = std::atomic<unsigned int> = { 0 }, my_version = tbb::detail::d1::task_group_context::task_group_context_version::proxy_support, my_traits = {fp_settings = true, concurrent_wait = false, bound = true, proxy = false, reserved1 = false, reserved2 = false, reserved3 = false, reserved4 = false}, static may_have_children = 1 '\001', my_state = std::atomic<unsigned char> = { 0 '\000' }, my_lifetime_state = std::atomic<enum tbb::detail::d1::task_group_context::lifetime_state> = { tbb::detail::d1::task_group_context::lifetime_state::isolated }, {my_parent = 0x0, my_actual_context = 0x0}, my_context_list = 0x0, my_node = {my_prev_node = 0x7fffffffbf60, my_next_node = 0x7fffffffbf60}, my_exception = std::atomic<class tbb::detail::r1::tbb_exception_ptr *> = { 0x0 }, my_itt_caller = 0x0, my_name = tbb::detail::d0::PARALLEL_FOR, padding = "P\306\377\377\377\177\000\000\240#\237\367\377\177\000\000p\301\377\377\377\177\000\000\n\000\000\000\000\000\000\000\220\357\217UUU\000\0002\000\000\000\377\177\000\000\360\305\377\377\377\177\000"}
#15 tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>::run(tbb::detail::d1::blocked_range<int> const&, cv::parallel::tbb::ParallelForBackend::CallbackProxy const&, tbb::detail::d1::auto_partitioner const&, tbb::detail::d1::task_group_context&) (partitioner=<optimized out>, context=..., body=..., range=<optimized out>) at /usr/include/oneapi/tbb/parallel_for.h:114
        alloc = {m_pool = 0x7fffd807be00}
        for_task = @0x7fffd807bb00: {<tbb::detail::d1::task> = {<tbb::detail::d1::task_traits> = {m_version_and_traits = 0}, _vptr.task = 0x7fffd807b700, m_reserved = {140737488338752, 0, 0, 0, 0, 0}}, my_range = {my_end = 1, my_begin = 0, my_grainsize = 1}, my_body = {callback = @0x7fffffffc2f8, callback_data = 0x7fffffffc310, tasks = 16}, my_parent = 0x7fffd807bc00, my_partition = {<tbb::detail::d1::dynamic_grainsize_mode<tbb::detail::d1::adaptive_mode<tbb::detail::d1::auto_partition_type> >> = {<tbb::detail::d1::adaptive_mode<tbb::detail::d1::auto_partition_type>> = {<tbb::detail::d1::partition_type_base<tbb::detail::d1::auto_partition_type>> = {<No data fields>}, my_divisor = 2, static factor = 1}, my_delay = tbb::detail::d1::dynamic_grainsize_mode<tbb::detail::d1::adaptive_mode<tbb::detail::d1::auto_partition_type> >::begin, my_max_depth = 5 '\005'}, <No data fields>}, my_allocator = {m_pool = 0x7fffd807be00}}
        wn = {<tbb::detail::d1::node> = {my_parent = 0x0, m_ref_count = std::atomic<int> = { 1 }}, m_wait = {static overflow_mask = 18446744069414584320, m_version_and_traits = 1, m_ref_count = std::atomic<unsigned long> = { 1 }}}
        context = {<tbb::detail::d0::no_copy> = {<tbb::detail::d0::no_assign> = {<No data fields>}, <No data fields>}, my_cpu_ctl_env = 3843995770816, my_cancellation_requested = std::atomic<unsigned int> = { 0 }, my_version = tbb::detail::d1::task_group_context::task_group_context_version::proxy_support, my_traits = {fp_settings = true, concurrent_wait = false, bound = true, proxy = false, reserved1 = false, reserved2 = false, reserved3 = false, reserved4 = false}, static may_have_children = 1 '\001', my_state = std::atomic<unsigned char> = { 0 '\000' }, my_lifetime_state = std::atomic<enum tbb::detail::d1::task_group_context::lifetime_state> = { tbb::detail::d1::task_group_context::lifetime_state::isolated }, {my_parent = 0x0, my_actual_context = 0x0}, my_context_list = 0x0, my_node = {my_prev_node = 0x7fffffffbf60, my_next_node = 0x7fffffffbf60}, my_exception = std::atomic<class tbb::detail::r1::tbb_exception_ptr *> = { 0x0 }, my_itt_caller = 0x0, my_name = tbb::detail::d0::PARALLEL_FOR, padding = "P\306\377\377\377\177\000\000\240#\237\367\377\177\000\000p\301\377\377\377\177\000\000\n\000\000\000\000\000\000\000\220\357\217UUU\000\0002\000\000\000\377\177\000\000\360\305\377\377\377\177\000"}
#16 tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>::run(tbb::detail::d1::blocked_range<int> const&, cv::parallel::tbb::ParallelForBackend::CallbackProxy const&, tbb::detail::d1::auto_partitioner const&, tbb::detail::d1::task_group_context&) (context=..., partitioner=<optimized out>, body=..., range=<optimized out>) at /usr/include/oneapi/tbb/parallel_for.h:106
        context = {<tbb::detail::d0::no_copy> = {<tbb::detail::d0::no_assign> = {<No data fields>}, <No data fields>}, my_cpu_ctl_env = 3843995770816, my_cancellation_requested = std::atomic<unsigned int> = { 0 }, my_version = tbb::detail::d1::task_group_context::task_group_context_version::proxy_support, my_traits = {fp_settings = true, concurrent_wait = false, bound = true, proxy = false, reserved1 = false, reserved2 = false, reserved3 = false, reserved4 = false}, static may_have_children = 1 '\001', my_state = std::atomic<unsigned char> = { 0 '\000' }, my_lifetime_state = std::atomic<enum tbb::detail::d1::task_group_context::lifetime_state> = { tbb::detail::d1::task_group_context::lifetime_state::isolated }, {my_parent = 0x0, my_actual_context = 0x0}, my_context_list = 0x0, my_node = {my_prev_node = 0x7fffffffbf60, my_next_node = 0x7fffffffbf60}, my_exception = std::atomic<class tbb::detail::r1::tbb_exception_ptr *> = { 0x0 }, my_itt_caller = 0x0, my_name = tbb::detail::d0::PARALLEL_FOR, padding = "P\306\377\377\377\177\000\000\240#\237\367\377\177\000\000p\301\377\377\377\177\000\000\n\000\000\000\000\000\000\000\220\357\217UUU\000\0002\000\000\000\377\177\000\000\360\305\377\377\377\177\000"}
#17 tbb::detail::d1::start_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy, tbb::detail::d1::auto_partitioner const>::run(tbb::detail::d1::blocked_range<int> const&, cv::parallel::tbb::ParallelForBackend::CallbackProxy const&, tbb::detail::d1::auto_partitioner const&) (partitioner=<optimized out>, body=..., range=<optimized out>) at /usr/include/oneapi/tbb/parallel_for.h:103
        context = {<tbb::detail::d0::no_copy> = {<tbb::detail::d0::no_assign> = {<No data fields>}, <No data fields>}, my_cpu_ctl_env = 3843995770816, my_cancellation_requested = std::atomic<unsigned int> = { 0 }, my_version = tbb::detail::d1::task_group_context::task_group_context_version::proxy_support, my_traits = {fp_settings = true, concurrent_wait = false, bound = true, proxy = false, reserved1 = false, reserved2 = false, reserved3 = false, reserved4 = false}, static may_have_children = 1 '\001', my_state = std::atomic<unsigned char> = { 0 '\000' }, my_lifetime_state = std::atomic<enum tbb::detail::d1::task_group_context::lifetime_state> = { tbb::detail::d1::task_group_context::lifetime_state::isolated }, {my_parent = 0x0, my_actual_context = 0x0}, my_context_list = 0x0, my_node = {my_prev_node = 0x7fffffffbf60, my_next_node = 0x7fffffffbf60}, my_exception = std::atomic<class tbb::detail::r1::tbb_exception_ptr *> = { 0x0 }, my_itt_caller = 0x0, my_name = tbb::detail::d0::PARALLEL_FOR, padding = "P\306\377\377\377\177\000\000\240#\237\367\377\177\000\000p\301\377\377\377\177\000\000\n\000\000\000\000\000\000\000\220\357\217UUU\000\0002\000\000\000\377\177\000\000\360\305\377\377\377\177\000"}
#18 tbb::detail::d1::parallel_for<tbb::detail::d1::blocked_range<int>, cv::parallel::tbb::ParallelForBackend::CallbackProxy>(tbb::detail::d1::blocked_range<int> const&, cv::parallel::tbb::ParallelForBackend::CallbackProxy const&) (body=..., range=<optimized out>) at /usr/include/oneapi/tbb/parallel_for.h:231
#19 cv::parallel::tbb::ParallelForBackend::CallbackProxy::operator()() const (this=0x7fffffffc340) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/include/opencv2/core/parallel/backend/parallel_for.tbb.hpp:84
#20 tbb::detail::d1::task_arena_function<cv::parallel::tbb::ParallelForBackend::CallbackProxy, void>::operator()() const (this=<optimized out>) at /usr/include/oneapi/tbb/task_arena.h:67
#21 0x00007ffff47c4ce1 in  () at /usr/lib/libtbb.so.12
#22 0x00007ffff1c976fb in tbb::detail::d1::task_arena::execute_impl<void, cv::parallel::tbb::ParallelForBackend::CallbackProxy>(cv::parallel::tbb::ParallelForBackend::CallbackProxy&) (f=<optimized out>, this=<optimized out>) at /usr/include/oneapi/tbb/task_arena.h:258
        func = {<tbb::detail::d1::delegate_base> = {_vptr.delegate_base = 0x7ffff29f26d8 <vtable for tbb::detail::d1::task_arena_function<cv::parallel::tbb::ParallelForBackend::CallbackProxy, void>+16>}, my_func = @0x7fffffffc340}
        task = {callback = @0x7fffffffc2f8, callback_data = 0x7fffffffc310, tasks = 16}
        ctx = {body = 0x7fffffffc600, wholeRange = {start = 0, end = 16}, nstripes = 16, rng = {state = 4294967295}, is_rng_used = false, traceRootRegion = 0x0, traceRootContext = 0x555555eae4d0, hasException = false, pException = {_M_exception_object = 0x0}, fp_denormals_base_state = {reserved = {32832, 32832, 911946848, 981687416, 1231253760, 2871822242, 1441483712, 21845, 2, 0, 4294952160, 32767, 4056849274, 32767, 1028658754, 3170401096}}}
        pbody = {<cv::(anonymous namespace)::ParallelLoopBodyWrapper> = {<cv::ParallelLoopBody> = {_vptr.ParallelLoopBody = 0x7ffff29f2700 <vtable for cv::(anonymous namespace)::ProxyLoopBody+16>}, ctx = @0x7fffffffc380}, <No data fields>}
        api = std::shared_ptr<cv::parallel::ParallelForAPI> (use count 2, weak count 0) = {get() = 0x555555d8bce0}
        __region_fn = {pImpl = 0x0, implFlags = 0}
        isNotNestedRegion = <optimized out>
        __cv_trace_location_fn502 = {ppExtra = 0x7ffff2a11af0 <cv::parallel_for_(cv::Range const&, cv::ParallelLoopBody const&, double)::__cv_trace_location_extra_fn502>, name = 0x7ffff26d56b3 "parallel_for", filename = 0x7ffff26d56f8 "/usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp", line = 502, flags = 1}
        __cv_trace_arg_range_start503 = {ppExtra = 0x7ffff2a11ae8 <cv::parallel_for_(cv::Range const&, cv::ParallelLoopBody const&, double)::__cv_trace_arg_extra_range_start503>, name = 0x7ffff26d56a7 "range.start", flags = 0}
        __cv_trace_arg_range_end504 = {ppExtra = 0x7ffff2a11ae0 <cv::parallel_for_(cv::Range const&, cv::ParallelLoopBody const&, double)::__cv_trace_arg_extra_range_end504>, name = 0x7ffff26d569d "range.end", flags = 0}
        __cv_trace_arg_nstripes505 = {ppExtra = 0x7ffff2a11ad8 <cv::parallel_for_(cv::Range const&, cv::ParallelLoopBody const&, double)::__cv_trace_arg_extra_nstripes505>, name = 0x7ffff26d5694 "nstripes", flags = 0}
        flagNestedParallelFor = std::atomic<bool> = { true }
        __cv_trace_location_extra_fn502 = 0x0
        __cv_trace_arg_extra_range_start503 = 0x0
        __cv_trace_arg_extra_range_end504 = 0x0
        __cv_trace_arg_extra_nstripes505 = 0x0
#23 tbb::detail::d1::task_arena::execute<cv::parallel::tbb::ParallelForBackend::CallbackProxy&>(cv::parallel::tbb::ParallelForBackend::CallbackProxy&) (f=<optimized out>, this=<optimized out>) at /usr/include/oneapi/tbb/task_arena.h:407
        task = {callback = @0x7fffffffc2f8, callback_data = 0x7fffffffc310, tasks = 16}
        ctx = {body = 0x7fffffffc600, wholeRange = {start = 0, end = 16}, nstripes = 16, rng = {state = 4294967295}, is_rng_used = false, traceRootRegion = 0x0, traceRootContext = 0x555555eae4d0, hasException = false, pException = {_M_exception_object = 0x0}, fp_denormals_base_state = {reserved = {32832, 32832, 911946848, 981687416, 1231253760, 2871822242, 1441483712, 21845, 2, 0, 4294952160, 32767, 4056849274, 32767, 1028658754, 3170401096}}}
        pbody = {<cv::(anonymous namespace)::ParallelLoopBodyWrapper> = {<cv::ParallelLoopBody> = {_vptr.ParallelLoopBody = 0x7ffff29f2700 <vtable for cv::(anonymous namespace)::ProxyLoopBody+16>}, ctx = @0x7fffffffc380}, <No data fields>}
        api = std::shared_ptr<cv::parallel::ParallelForAPI> (use count 2, weak count 0) = {get() = 0x555555d8bce0}
        __region_fn = {pImpl = 0x0, implFlags = 0}
        isNotNestedRegion = <optimized out>
        __cv_trace_location_fn502 = {ppExtra = 0x7ffff2a11af0 <cv::parallel_for_(cv::Range const&, cv::ParallelLoopBody const&, double)::__cv_trace_location_extra_fn502>, name = 0x7ffff26d56b3 "parallel_for", filename = 0x7ffff26d56f8 "/usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp", line = 502, flags = 1}
        __cv_trace_arg_range_start503 = {ppExtra = 0x7ffff2a11ae8 <cv::parallel_for_(cv::Range const&, cv::ParallelLoopBody const&, double)::__cv_trace_arg_extra_range_start503>, name = 0x7ffff26d56a7 "range.start", flags = 0}
        __cv_trace_arg_range_end504 = {ppExtra = 0x7ffff2a11ae0 <cv::parallel_for_(cv::Range const&, cv::ParallelLoopBody const&, double)::__cv_trace_arg_extra_range_end504>, name = 0x7ffff26d569d "range.end", flags = 0}
        __cv_trace_arg_nstripes505 = {ppExtra = 0x7ffff2a11ad8 <cv::parallel_for_(cv::Range const&, cv::ParallelLoopBody const&, double)::__cv_trace_arg_extra_nstripes505>, name = 0x7ffff26d5694 "nstripes", flags = 0}
        flagNestedParallelFor = std::atomic<bool> = { true }
        __cv_trace_location_extra_fn502 = 0x0
        __cv_trace_arg_extra_range_start503 = 0x0
        __cv_trace_arg_extra_range_end504 = 0x0
        __cv_trace_arg_extra_nstripes505 = 0x0
#24 cv::parallel::tbb::ParallelForBackend::parallel_for(int, void (*)(int, int, void*), void*) (callback_data=0x7fffffffc310, body_callback=<optimized out>, tasks=<optimized out>, this=<optimized out>) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/include/opencv2/core/parallel/backend/parallel_for.tbb.hpp:92
        task = {callback = @0x7fffffffc2f8, callback_data = 0x7fffffffc310, tasks = 16}
        ctx = {body = 0x7fffffffc600, wholeRange = {start = 0, end = 16}, nstripes = 16, rng = {state = 4294967295}, is_rng_used = false, traceRootRegion = 0x0, traceRootContext = 0x555555eae4d0, hasException = false, pException = {_M_exception_object = 0x0}, fp_denormals_base_state = {reserved = {32832, 32832, 911946848, 981687416, 1231253760, 2871822242, 1441483712, 21845, 2, 0, 4294952160, 32767, 4056849274, 32767, 1028658754, 3170401096}}}
        pbody = {<cv::(anonymous namespace)::ParallelLoopBodyWrapper> = {<cv::ParallelLoopBody> = {_vptr.ParallelLoopBody = 0x7ffff29f2700 <vtable for cv::(anonymous namespace)::ProxyLoopBody+16>}, ctx = @0x7fffffffc380}, <No data fields>}
        api = std::shared_ptr<cv::parallel::ParallelForAPI> (use count 2, weak count 0) = {get() = 0x555555d8bce0}
        __region_fn = {pImpl = 0x0, implFlags = 0}
        isNotNestedRegion = <optimized out>
        __cv_trace_location_fn502 = {ppExtra = 0x7ffff2a11af0 <cv::parallel_for_(cv::Range const&, cv::ParallelLoopBody const&, double)::__cv_trace_location_extra_fn502>, name = 0x7ffff26d56b3 "parallel_for", filename = 0x7ffff26d56f8 "/usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp", line = 502, flags = 1}
        __cv_trace_arg_range_start503 = {ppExtra = 0x7ffff2a11ae8 <cv::parallel_for_(cv::Range const&, cv::ParallelLoopBody const&, double)::__cv_trace_arg_extra_range_start503>, name = 0x7ffff26d56a7 "range.start", flags = 0}
        __cv_trace_arg_range_end504 = {ppExtra = 0x7ffff2a11ae0 <cv::parallel_for_(cv::Range const&, cv::ParallelLoopBody const&, double)::__cv_trace_arg_extra_range_end504>, name = 0x7ffff26d569d "range.end", flags = 0}
        __cv_trace_arg_nstripes505 = {ppExtra = 0x7ffff2a11ad8 <cv::parallel_for_(cv::Range const&, cv::ParallelLoopBody const&, double)::__cv_trace_arg_extra_nstripes505>, name = 0x7ffff26d5694 "nstripes", flags = 0}
        flagNestedParallelFor = std::atomic<bool> = { true }
        __cv_trace_location_extra_fn502 = 0x0
        __cv_trace_arg_extra_range_start503 = 0x0
        __cv_trace_arg_extra_range_end504 = 0x0
        __cv_trace_arg_extra_nstripes505 = 0x0
#25 cv::parallel_for_impl (nstripes=<optimized out>, body=..., range=...) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp:562
        ctx = {body = 0x7fffffffc600, wholeRange = {start = 0, end = 16}, nstripes = 16, rng = {state = 4294967295}, is_rng_used = false, traceRootRegion = 0x0, traceRootContext = 0x555555eae4d0, hasException = false, pException = {_M_exception_object = 0x0}, fp_denormals_base_state = {reserved = {32832, 32832, 911946848, 981687416, 1231253760, 2871822242, 1441483712, 21845, 2, 0, 4294952160, 32767, 4056849274, 32767, 1028658754, 3170401096}}}
        pbody = {<cv::(anonymous namespace)::ParallelLoopBodyWrapper> = {<cv::ParallelLoopBody> = {_vptr.ParallelLoopBody = 0x7ffff29f2700 <vtable for cv::(anonymous namespace)::ProxyLoopBody+16>}, ctx = @0x7fffffffc380}, <No data fields>}
        api = std::shared_ptr<cv::parallel::ParallelForAPI> (use count 2, weak count 0) = {get() = 0x555555d8bce0}
        __region_fn = {pImpl = 0x0, implFlags = 0}
        isNotNestedRegion = <optimized out>
        __cv_trace_location_fn502 = {ppExtra = 0x7ffff2a11af0 <cv::parallel_for_(cv::Range const&, cv::ParallelLoopBody const&, double)::__cv_trace_location_extra_fn502>, name = 0x7ffff26d56b3 "parallel_for", filename = 0x7ffff26d56f8 "/usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp", line = 502, flags = 1}
        __cv_trace_arg_range_start503 = {ppExtra = 0x7ffff2a11ae8 <cv::parallel_for_(cv::Range const&, cv::ParallelLoopBody const&, double)::__cv_trace_arg_extra_range_start503>, name = 0x7ffff26d56a7 "range.start", flags = 0}
        __cv_trace_arg_range_end504 = {ppExtra = 0x7ffff2a11ae0 <cv::parallel_for_(cv::Range const&, cv::ParallelLoopBody const&, double)::__cv_trace_arg_extra_range_end504>, name = 0x7ffff26d569d "range.end", flags = 0}
        __cv_trace_arg_nstripes505 = {ppExtra = 0x7ffff2a11ad8 <cv::parallel_for_(cv::Range const&, cv::ParallelLoopBody const&, double)::__cv_trace_arg_extra_nstripes505>, name = 0x7ffff26d5694 "nstripes", flags = 0}
        flagNestedParallelFor = std::atomic<bool> = { true }
        __cv_trace_location_extra_fn502 = 0x0
        __cv_trace_arg_extra_range_start503 = 0x0
        __cv_trace_arg_extra_range_end504 = 0x0
        __cv_trace_arg_extra_nstripes505 = 0x0
#26 cv::parallel_for_(cv::Range const&, cv::ParallelLoopBody const&, double) (range=..., body=..., nstripes=nstripes@entry=-1) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp:520
        __region_fn = {pImpl = 0x0, implFlags = 0}
        isNotNestedRegion = <optimized out>
        __cv_trace_location_fn502 = {ppExtra = 0x7ffff2a11af0 <cv::parallel_for_(cv::Range const&, cv::ParallelLoopBody const&, double)::__cv_trace_location_extra_fn502>, name = 0x7ffff26d56b3 "parallel_for", filename = 0x7ffff26d56f8 "/usr/src/debug/opencv/opencv-4.7.0/modules/core/src/parallel.cpp", line = 502, flags = 1}
        __cv_trace_arg_range_start503 = {ppExtra = 0x7ffff2a11ae8 <cv::parallel_for_(cv::Range const&, cv::ParallelLoopBody const&, double)::__cv_trace_arg_extra_range_start503>, name = 0x7ffff26d56a7 "range.start", flags = 0}
        __cv_trace_arg_range_end504 = {ppExtra = 0x7ffff2a11ae0 <cv::parallel_for_(cv::Range const&, cv::ParallelLoopBody const&, double)::__cv_trace_arg_extra_range_end504>, name = 0x7ffff26d569d "range.end", flags = 0}
        __cv_trace_arg_nstripes505 = {ppExtra = 0x7ffff2a11ad8 <cv::parallel_for_(cv::Range const&, cv::ParallelLoopBody const&, double)::__cv_trace_arg_extra_nstripes505>, name = 0x7ffff26d5694 "nstripes", flags = 0}
        flagNestedParallelFor = std::atomic<bool> = { true }
        __cv_trace_location_extra_fn502 = 0x0
        __cv_trace_arg_extra_range_start503 = 0x0
        __cv_trace_arg_extra_range_end504 = 0x0
        __cv_trace_arg_extra_nstripes505 = 0x0
#27 0x00007ffff4f37bd4 in cv::parallel_for_(const cv::Range &, std::function<void(const cv::Range&)>, double) (range=..., functor=..., nstripes=-1) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/include/opencv2/core/utility.hpp:612
#28 0x00007ffff4f3e4fb in cv::dnn::runWinograd63(cv::_InputArray const&, cv::_InputArray const&, cv::_OutputArray const&, cv::Ptr<cv::dnn::FastConv> const&, int, float, float, cv::dnn::dnn4_v20221220::ActivationLayer*, bool) (ifMinMaxAct=<optimized out>, activ=<optimized out>, maxval=<optimized out>, minval=<optimized out>, ntasks=<optimized out>, conv=..., _output=..., _fusedAddMat=..., _input=...) at /usr/src/debug/opencv/opencv-4.7.0/modules/dnn/src/layers/fast_convolution/winograd_3x3s1_f63.cpp:1047
        pad_top = 1
        Kg = 32
        _buf = {ptr = 0x555555b65560, sz = 24608, buf = {3.22835579e+13, 3.0611365e-41, -4.79902466e+14, 4.59163468e-41, 0, 0, 4.60074312e-41, 4.60074312e-41, -4.79752142e+14, 4.59163468e-41, -4.79756974e+14, 4.59163468e-41, 1.40129846e-45, 1.40129846e-45, -5.97020855e+14, 4.59163468e-41, -4.79773885e+14, 4.59163468e-41, -4.79773617e+14, 4.59163468e-41, -nan(0x1ff000), 4.59163468e-41, -nan(0x7fcccf), 4.59163468e-41, 0, 2.3693558e-38, 0, -3.65738899e-43, 0, 0, 0, 0, 0, 0, 2.91401787e+13, 3.0611365e-41, -8.04119282e+31, 4.59163468e-41, -3.65738899e-43, -6.12949036e-13, -7.98244531e+31, 4.59163468e-41, 0, 0, 0, 0, 0, 1.40129846e-45, 5.60519386e-45, 0, -nan(0x7fe4d8), 4.59163468e-41, 1.67794138e+13, 3.0611365e-41, -2.04977755e+30, 4.59163468e-41, -nan(0x7fcee0), 4.59163468e-41, -4.79906761e+14, 4.59163468e-41, -nan(0x7fce40), 4.59163468e-41, -5.97017634e+14, 4.59163468e-41, -nan(0x7fce70), 4.59163468e-41, -4.79752142e+14, 4.59163468e-41, 1.40129846e-45, 0, 931600, -6.12949036e-13, -4.79906761e+14, 4.59163468e-41, -8.0343237e+31, 4.59163468e-41, -nan(0x7fcee7), 1.40129846e-45, -nan(0x7fce80), 4.59163468e-41, -4.79906761e+14, 4.59163468e-41, 0, 0, -6.02085695e+14, 4.59163468e-41, -nan(0x7fcdb8), 4.59163468e-41, 7.28675201e-44, 0, 5.60519386e-45, 0, 2.88996941e+13, 3.0611365e-41, -1.68884066e+30, 4.59163468e-41, -6.45408457e+33, 4.59163468e-41, 931600, -6.12949036e-13, 0, 0, 931600, -6.12949036e-13, 5.60519386e-45, 0, -nan(0x7fff88), -nan(0x7fffff), 0, 0, -1.73952704e+32, 4.59163468e-41, -nan(0x7fce60), 4.59163468e-41, 4.48415509e-44, 0, 2.41929468e+13, 3.0611365e-41, -5.63299237e+33, 4.59163468e-41, 2.18826768e-41, 0, 3.58732407e-43, 0, 2.38220739e-44, 4.59163468e-41, -nan(0x7fce60), 4.59163468e-41, -nan(0x7fcf78), 4.59163468e-41, 3.58732407e-43, 0, -6.45402515e+33, 4.59163468e-41, -nan(0x7fffc0), -nan(0x7fffff), 0, 0, 4.48415509e-44, 0, 2.41929468e+13, 3.0611365e-41, 931600, -6.12949036e-13, 4.20389539e-45, 0, -nan(0x7fff88), -nan(0x7fffff), 0, 0, -nan(0x7fcfa0), 4.59163468e-41, 4.20389539e-45, 0, 4.48415509e-44, 0, 2.41929468e+13, 3.0611365e-41, -5.63571893e+33, 4.59163468e-41, -nan(0x7fcfc0), 4.59163468e-41, -nan(0x7fd220), 4.59163468e-41, -nan(0x7fcfc0), 4.59163468e-41, -1.86144565e+30, 4.59163468e-41, -nan(0x7fcfc0), 4.59163468e-41, -1.54353289e+32, 4.59163468e-41, 3.03270996e+13, 2.35711097e-38, 931600, 1.40129846e-45, 1.40129846e-45, 3.0611365e-41, 2.9038276e+13, 3.0611365e-41, 2.90384249e+13, 3.0611365e-41, -nan(0x7fd290), 4.59163468e-41, 2.90383242e+13, 3.0611365e-41, 4.48415509e-44, 1.40129846e-45, 4.48415509e-44, 1.26116862e-44, 1.40129846e-45, 1.40129846e-45, -nan(0x7fd280), 4.59163468e-41, -nan(0x7fd4b0), 1.40129846e-45, 4.20389539e-45, 4.20389539e-45, 1.26116862e-44, 4.48415509e-44...}}
        wbuf_all = 0x555555b65560
        fusedAddMat = {flags = 1124007936, dims = 0, rows = 0, cols = 0, data = 0x0, datastart = 0x0, dataend = 0x0, datalimit = 0x0, allocator = 0x0, u = 0x0, size = {p = 0x7fffffffcbc8}, step = {p = 0x7fffffffcc10, buf = {0, 0}}}
        inputShape = std::vector of length 4, capacity 4 = {1, 32, 16, 16}
        N = 1
        W0 = 16
        ngroups = 1
        out_planesize = 256
        C = 32
        H0 = 16
        blocks_per_plane_aligned = 12
        output = {flags = 1124057093, dims = 4, rows = -1, cols = -1, data = 0x555555dcc500 "\021$\232?\224\245(\2756\017a\275\277\307+\275\034\006u\275\036\270Y\275^\335t\275\224\220\250<\265=\200\275\257?\341=\317\364\206=\020\033\225\275\315|\211\275\337\035\206\275\a/\243\275M\a\213\275w\0314?T\260\237\274\223\2327\275u\224Ľ\342\370/\2742\306\r=Z^\216>\307\a\022\276\253\\\006\276I\223.\276\3403\230\275\331\307\300\273N߹=,\232\341=\351\2638\275\205\177>\275G\345??l8\312<\006$B\276(\aF\275p5\210\2755l\"\2760\360\021>\305o\245\274\260\024\207\274\021Y\030\276\375g\273\274x\031\026\276-\314\004=\243|\254\274\003\220\251=`\302\212<\320r>?\213\a\335="..., datastart = 0x555555dcc500 "\021$\232?\224\245(\2756\017a\275\277\307+\275\034\006u\275\036\270Y\275^\335t\275\224\220\250<\265=\200\275\257?\341=\317\364\206=\020\033\225\275\315|\211\275\337\035\206\275\a/\243\275M\a\213\275w\0314?T\260\237\274\223\2327\275u\224Ľ\342\370/\2742\306\r=Z^\216>\307\a\022\276\253\\\006\276I\223.\276\3403\230\275\331\307\300\273N߹=,\232\341=\351\2638\275\205\177>\275G\345??l8\312<\006$B\276(\aF\275p5\210\2755l\"\2760\360\021>\305o\245\274\260\024\207\274\021Y\030\276\375g\273\274x\031\026\276-\314\004=\243|\254\274\003\220\251=`\302\212<\320r>?\213\a\335="..., dataend = 0x555555dec500 "'\n&=s\256Z\275\221\212B\275\276\033\271\274 \334\303<\033{\005\275\002\224\032<+Ev<k\\\231\274\254\275\211<\021(", datalimit = 0x555555dec500 "'\n&=s\256Z\275\221\212B\275\276\033\271\274 \334\303<\033{\005\275\002\224\032<+Ev<k\\\231\274\254\275\211<\021(", allocator = 0x0, u = 0x555555eb1790, size = {p = 0x555555760f64}, step = {p = 0x555555760f40, buf = {0, 0}}}
        outputShape = std::vector of length 4, capacity 4 = {1, 32, 16, 16}
        pad_left = 1
        blocks_per_row = 3
        blocks_per_plane = 9
        out = 0x555555dcc500
        fusedAddPtr = 0x0
        Wi = 16
        K = 32
        Cg = 32
        inp_planesize = 256
        totalbufsize = <optimized out>
        inp = 0x555555e7d500
        input = {flags = 1124057093, dims = 4, rows = -1, cols = -1, data = 0x555555e7d500 "\313l\207\276d%\202\276\262\017\201\276\314m\202\276M\376\203\276\365\a\200\276\2119\216\276f\263_\276\274ό\276\270\242~\276K\245+=3\237\202\276q\240\202\276b*\177\276/\b\203\276\344څ\276\002t\377<T}н\206>ݽ\351=\360\275\315\371\260=\0263\216\276\tL?\276WК=\315k0>Yǃ:\320/m?\022Pm\276O猾}B\306>\236\210Ľsk\232\275\036\207\362\274\2208ѽ'd\273\275\256\336o\276!\341\323=ަ\226\275\202\257&\276 Ol\276ڽP\275\v\273 <.hV\276@\206ǽ\340\334\r?\363\264\342>}\277e\276\027\254=>\026J\027=\271V\n="..., datastart = 0x555555e7d500 "\313l\207\276d%\202\276\262\017\201\276\314m\202\276M\376\203\276\365\a\200\276\2119\216\276f\263_\276\274ό\276\270\242~\276K\245+=3\237\202\276q\240\202\276b*\177\276/\b\203\276\344څ\276\002t\377<T}н\206>ݽ\351=\360\275\315\371\260=\0263\216\276\tL?\276WК=\315k0>Yǃ:\320/m?\022Pm\276O猾}B\306>\236\210Ľsk\232\275\036\207\362\274\2208ѽ'd\273\275\256\336o\276!\341\323=ަ\226\275\202\257&\276 Ol\276ڽP\275\v\273 <.hV\276@\206ǽ\340\334\r?\363\264\342>}\277e\276\027\254=>\026J\027=\271V\n="..., dataend = 0x555555e9d500 "P\365F<N\267\257\272\352\253Z\275\2140c=\036>\3419\367\201\327\273\221", datalimit = 0x555555e9d500 "P\365F<N\267\257\272\352\253Z\275\2140c=\036>\3419\367\201\327\273\221", allocator = 0x0, u = 0x555555d39880, size = {p = 0x555555dcbfe4}, step = {p = 0x555555dcbfc0, buf = {0, 0}}}
        Hi = 16
        Kg_nblocks = 8
        input = {flags = 1124057093, dims = 4, rows = -1, cols = -1, data = 0x555555e7d500 "\313l\207\276d%\202\276\262\017\201\276\314m\202\276M\376\203\276\365\a\200\276\2119\216\276f\263_\276\274ό\276\270\242~\276K\245+=3\237\202\276q\240\202\276b*\177\276/\b\203\276\344څ\276\002t\377<T}н\206>ݽ\351=\360\275\315\371\260=\0263\216\276\tL?\276WК=\315k0>Yǃ:\320/m?\022Pm\276O猾}B\306>\236\210Ľsk\232\275\036\207\362\274\2208ѽ'd\273\275\256\336o\276!\341\323=ަ\226\275\202\257&\276 Ol\276ڽP\275\v\273 <.hV\276@\206ǽ\340\334\r?\363\264\342>}\277e\276\027\254=>\026J\027=\271V\n="..., datastart = 0x555555e7d500 "\313l\207\276d%\202\276\262\017\201\276\314m\202\276M\376\203\276\365\a\200\276\2119\216\276f\263_\276\274ό\276\270\242~\276K\245+=3\237\202\276q\240\202\276b*\177\276/\b\203\276\344څ\276\002t\377<T}н\206>ݽ\351=\360\275\315\371\260=\0263\216\276\tL?\276WК=\315k0>Yǃ:\320/m?\022Pm\276O猾}B\306>\236\210Ľsk\232\275\036\207\362\274\2208ѽ'd\273\275\256\336o\276!\341\323=ަ\226\275\202\257&\276 Ol\276ڽP\275\v\273 <.hV\276@\206ǽ\340\334\r?\363\264\342>}\277e\276\027\254=>\026J\027=\271V\n="..., dataend = 0x555555e9d500 "P\365F<N\267\257\272\352\253Z\275\2140c=\036>\3419\367\201\327\273\221", datalimit = 0x555555e9d500 "P\365F<N\267\257\272\352\253Z\275\2140c=\036>\3419\367\201\327\273\221", allocator = 0x0, u = 0x555555d39880, size = {p = 0x555555dcbf64}, step = {p = 0x555555dcbf40, buf = {0, 0}}}
        output = {flags = 1124057093, dims = 4, rows = -1, cols = -1, data = 0x555555dcc500 "\021$\232?\224\245(\2756\017a\275\277\307+\275\034\006u\275\036\270Y\275^\335t\275\224\220\250<\265=\200\275\257?\341=\317\364\206=\020\033\225\275\315|\211\275\337\035\206\275\a/\243\275M\a\213\275w\0314?T\260\237\274\223\2327\275u\224Ľ\342\370/\2742\306\r=Z^\216>\307\a\022\276\253\\\006\276I\223.\276\3403\230\275\331\307\300\273N߹=,\232\341=\351\2638\275\205\177>\275G\345??l8\312<\006$B\276(\aF\275p5\210\2755l\"\2760\360\021>\305o\245\274\260\024\207\274\021Y\030\276\375g\273\274x\031\026\276-\314\004=\243|\254\274\003\220\251=`\302\212<\320r>?\213\a\335="..., datastart = 0x555555dcc500 "\021$\232?\224\245(\2756\017a\275\277\307+\275\034\006u\275\036\270Y\275^\335t\275\224\220\250<\265=\200\275\257?\341=\317\364\206=\020\033\225\275\315|\211\275\337\035\206\275\a/\243\275M\a\213\275w\0314?T\260\237\274\223\2327\275u\224Ľ\342\370/\2742\306\r=Z^\216>\307\a\022\276\253\\\006\276I\223.\276\3403\230\275\331\307\300\273N߹=,\232\341=\351\2638\275\205\177>\275G\345??l8\312<\006$B\276(\aF\275p5\210\2755l\"\2760\360\021>\305o\245\274\260\024\207\274\021Y\030\276\375g\273\274x\031\026\276-\314\004=\243|\254\274\003\220\251=`\302\212<\320r>?\213\a\335="..., dataend = 0x555555dec500 "'\n&=s\256Z\275\221\212B\275\276\033\271\274 \334\303<\033{\005\275\002\224\032<+Ev<k\\\231\274\254\275\211<\021(", datalimit = 0x555555dec500 "'\n&=s\256Z\275\221\212B\275\276\033\271\274 \334\303<\033{\005\275\002\224\032<+Ev<k\\\231\274\254\275\211<\021(", allocator = 0x0, u = 0x555555eb1790, size = {p = 0x555555dcbee4}, step = {p = 0x555555dcbec0, buf = {0, 0}}}
        conv_dim = 1
        fusedAddMat = {flags = 1124007936, dims = 0, rows = 0, cols = 0, data = 0x0, datastart = 0x0, dataend = 0x0, datalimit = 0x0, allocator = 0x0, u = 0x0, size = {p = 0x7fffffffca48}, step = {p = 0x7fffffffca90, buf = {0, 0}}}
        inputShape = std::vector of length 4, capacity 4 = {1, 32, 16, 16}
        outputShape = std::vector of length 4, capacity 4 = {1, 32, 16, 16}
        activ = 0x0
        minval = -3.40282347e+38
        maxval = 3.40282347e+38
        ifMinMaxAct = false
        N = <optimized out>
        C = <optimized out>
        Di = 32767
        Hi = -13376
        Wi = 32767
        ngroups = -238408950
        K = <optimized out>
        Dk = 32767
        Hk = 1
        Wk = 1
        D0 = <optimized out>
        H0 = -670581248
        W0 = 32767
        Cg = 0
        Kg = 0
        inp_planesize = 256
        out_planesize = 93824998593888
        pad_front = 0
        pad_top = 1
        pad_left = 32
        stride_d = 16
        stride_h = 16
        stride_w = 32
        dilation_d = 16
        dilation_h = 16
        dilation_w = 1
        ksize = 1
        fast_1x1 = false
        DkHkWkCg = 1
        ofstab_ = Python Exception <class 'gdb.error'>: value has been optimized out

        ofstab = 0x7fff01010000
        dhwTab = 0x555501010000
        padded_ksize = 32
        MAX_STRIPES = 32
        K_BLOCK_SIZE = 8
        C_BLOCK_SIZE = <optimized out>
        Kg_nblocks = <optimized out>
        Kg_aligned = 3
        stripes_per_sample = 9
        Kstripes = 12
        nsubtasks = 256
        stripesize = 33619968
        taskbufsize = 93825001837824
        inpbuf_all_ = {ptr = 0x555555b65560, sz = 24608, buf = {3.22835579e+13, 3.0611365e-41, -4.79902466e+14, 4.59163468e-41, 0, 0, 4.60074312e-41, 4.60074312e-41, -4.79752142e+14, 4.59163468e-41, -4.79756974e+14, 4.59163468e-41, 1.40129846e-45, 1.40129846e-45, -5.97020855e+14, 4.59163468e-41, -4.79773885e+14, 4.59163468e-41, -4.79773617e+14, 4.59163468e-41, -nan(0x1ff000), 4.59163468e-41, -nan(0x7fcccf), 4.59163468e-41, 0, 2.3693558e-38, 0, -3.65738899e-43, 0, 0, 0, 0, 0, 0, 2.91401787e+13, 3.0611365e-41, -8.04119282e+31, 4.59163468e-41, -3.65738899e-43, -6.12949036e-13, -7.98244531e+31, 4.59163468e-41, 0, 0, 0, 0, 0, 1.40129846e-45, 5.60519386e-45, 0, -nan(0x7fe4d8), 4.59163468e-41, 1.67794138e+13, 3.0611365e-41, -2.04977755e+30, 4.59163468e-41, -nan(0x7fcee0), 4.59163468e-41, -4.79906761e+14, 4.59163468e-41, -nan(0x7fce40), 4.59163468e-41, -5.97017634e+14, 4.59163468e-41, -nan(0x7fce70), 4.59163468e-41, -4.79752142e+14, 4.59163468e-41, 1.40129846e-45, 0, 931600, -6.12949036e-13, -4.79906761e+14, 4.59163468e-41, -8.0343237e+31, 4.59163468e-41, -nan(0x7fcee7), 1.40129846e-45, -nan(0x7fce80), 4.59163468e-41, -4.79906761e+14, 4.59163468e-41, 0, 0, -6.02085695e+14, 4.59163468e-41, -nan(0x7fcdb8), 4.59163468e-41, 7.28675201e-44, 0, 5.60519386e-45, 0, 2.88996941e+13, 3.0611365e-41, -1.68884066e+30, 4.59163468e-41, -6.45408457e+33, 4.59163468e-41, 931600, -6.12949036e-13, 0, 0, 931600, -6.12949036e-13, 5.60519386e-45, 0, -nan(0x7fff88), -nan(0x7fffff), 0, 0, -1.73952704e+32, 4.59163468e-41, -nan(0x7fce60), 4.59163468e-41, 4.48415509e-44, 0, 2.41929468e+13, 3.0611365e-41, -5.63299237e+33, 4.59163468e-41, 2.18826768e-41, 0, 3.58732407e-43, 0, 2.38220739e-44, 4.59163468e-41, -nan(0x7fce60), 4.59163468e-41, -nan(0x7fcf78), 4.59163468e-41, 3.58732407e-43, 0, -6.45402515e+33, 4.59163468e-41, -nan(0x7fffc0), -nan(0x7fffff), 0, 0, 4.48415509e-44, 0, 2.41929468e+13, 3.0611365e-41, 931600, -6.12949036e-13, 4.20389539e-45, 0, -nan(0x7fff88), -nan(0x7fffff), 0, 0, -nan(0x7fcfa0), 4.59163468e-41, 4.20389539e-45, 0, 4.48415509e-44, 0, 2.41929468e+13, 3.0611365e-41, -5.63571893e+33, 4.59163468e-41, -nan(0x7fcfc0), 4.59163468e-41, -nan(0x7fd220), 4.59163468e-41, -nan(0x7fcfc0), 4.59163468e-41, -1.86144565e+30, 4.59163468e-41, -nan(0x7fcfc0), 4.59163468e-41, -1.54353289e+32, 4.59163468e-41, 3.03270996e+13, 2.35711097e-38, 931600, 1.40129846e-45, 1.40129846e-45, 3.0611365e-41, 2.9038276e+13, 3.0611365e-41, 2.90384249e+13, 3.0611365e-41, -nan(0x7fd290), 4.59163468e-41, 2.90383242e+13, 3.0611365e-41, 4.48415509e-44, 1.40129846e-45, 4.48415509e-44, 1.26116862e-44, 1.40129846e-45, 1.40129846e-45, -nan(0x7fd280), 4.59163468e-41, -nan(0x7fd4b0), 1.40129846e-45, 4.20389539e-45, 4.20389539e-45, 1.26116862e-44, 4.48415509e-44...}}
        inpbuf_all = 0x555555dcc500
        inp = 0x0
        out = 0x1000000000
        fusedAddPtr0 = 0x555555deefc0
#29 cv::dnn::runFastConv(cv::_InputArray const&, cv::_OutputArray const&, cv::Ptr<cv::dnn::FastConv> const&, int, cv::Ptr<cv::dnn::dnn4_v20221220::ActivationLayer> const&, std::vector<float, std::allocator<float> > const&, bool) [clone .constprop.0] (_input=..., _output=..., conv=..., ntasks=<optimized out>, ntasks@entry=16, actLayer=..., reluslope=std::vector of length 0, capacity 0, fusedAdd=<optimized out>) at /usr/src/debug/opencv/opencv-4.7.0/modules/dnn/src/layers/fast_convolution/fast_convolution.cpp:420
        input = {flags = 1124057093, dims = 4, rows = -1, cols = -1, data = 0x555555e7d500 "\313l\207\276d%\202\276\262\017\201\276\314m\202\276M\376\203\276\365\a\200\276\2119\216\276f\263_\276\274ό\276\270\242~\276K\245+=3\237\202\276q\240\202\276b*\177\276/\b\203\276\344څ\276\002t\377<T}н\206>ݽ\351=\360\275\315\371\260=\0263\216\276\tL?\276WК=\315k0>Yǃ:\320/m?\022Pm\276O猾}B\306>\236\210Ľsk\232\275\036\207\362\274\2208ѽ'd\273\275\256\336o\276!\341\323=ަ\226\275\202\257&\276 Ol\276ڽP\275\v\273 <.hV\276@\206ǽ\340\334\r?\363\264\342>}\277e\276\027\254=>\026J\027=\271V\n="..., datastart = 0x555555e7d500 "\313l\207\276d%\202\276\262\017\201\276\314m\202\276M\376\203\276\365\a\200\276\2119\216\276f\263_\276\274ό\276\270\242~\276K\245+=3\237\202\276q\240\202\276b*\177\276/\b\203\276\344څ\276\002t\377<T}н\206>ݽ\351=\360\275\315\371\260=\0263\216\276\tL?\276WК=\315k0>Yǃ:\320/m?\022Pm\276O猾}B\306>\236\210Ľsk\232\275\036\207\362\274\2208ѽ'd\273\275\256\336o\276!\341\323=ަ\226\275\202\257&\276 Ol\276ڽP\275\v\273 <.hV\276@\206ǽ\340\334\r?\363\264\342>}\277e\276\027\254=>\026J\027=\271V\n="..., dataend = 0x555555e9d500 "P\365F<N\267\257\272\352\253Z\275\2140c=\036>\3419\367\201\327\273\221", datalimit = 0x555555e9d500 "P\365F<N\267\257\272\352\253Z\275\2140c=\036>\3419\367\201\327\273\221", allocator = 0x0, u = 0x555555d39880, size = {p = 0x555555dcbf64}, step = {p = 0x555555dcbf40, buf = {0, 0}}}
        output = {flags = 1124057093, dims = 4, rows = -1, cols = -1, data = 0x555555dcc500 "\021$\232?\224\245(\2756\017a\275\277\307+\275\034\006u\275\036\270Y\275^\335t\275\224\220\250<\265=\200\275\257?\341=\317\364\206=\020\033\225\275\315|\211\275\337\035\206\275\a/\243\275M\a\213\275w\0314?T\260\237\274\223\2327\275u\224Ľ\342\370/\2742\306\r=Z^\216>\307\a\022\276\253\\\006\276I\223.\276\3403\230\275\331\307\300\273N߹=,\232\341=\351\2638\275\205\177>\275G\345??l8\312<\006$B\276(\aF\275p5\210\2755l\"\2760\360\021>\305o\245\274\260\024\207\274\021Y\030\276\375g\273\274x\031\026\276-\314\004=\243|\254\274\003\220\251=`\302\212<\320r>?\213\a\335="..., datastart = 0x555555dcc500 "\021$\232?\224\245(\2756\017a\275\277\307+\275\034\006u\275\036\270Y\275^\335t\275\224\220\250<\265=\200\275\257?\341=\317\364\206=\020\033\225\275\315|\211\275\337\035\206\275\a/\243\275M\a\213\275w\0314?T\260\237\274\223\2327\275u\224Ľ\342\370/\2742\306\r=Z^\216>\307\a\022\276\253\\\006\276I\223.\276\3403\230\275\331\307\300\273N߹=,\232\341=\351\2638\275\205\177>\275G\345??l8\312<\006$B\276(\aF\275p5\210\2755l\"\2760\360\021>\305o\245\274\260\024\207\274\021Y\030\276\375g\273\274x\031\026\276-\314\004=\243|\254\274\003\220\251=`\302\212<\320r>?\213\a\335="..., dataend = 0x555555dec500 "'\n&=s\256Z\275\221\212B\275\276\033\271\274 \334\303<\033{\005\275\002\224\032<+Ev<k\\\231\274\254\275\211<\021(", datalimit = 0x555555dec500 "'\n&=s\256Z\275\221\212B\275\276\033\271\274 \334\303<\033{\005\275\002\224\032<+Ev<k\\\231\274\254\275\211<\021(", allocator = 0x0, u = 0x555555eb1790, size = {p = 0x555555dcbee4}, step = {p = 0x555555dcbec0, buf = {0, 0}}}
        conv_dim = 1
        fusedAddMat = {flags = 1124007936, dims = 0, rows = 0, cols = 0, data = 0x0, datastart = 0x0, dataend = 0x0, datalimit = 0x0, allocator = 0x0, u = 0x0, size = {p = 0x7fffffffca48}, step = {p = 0x7fffffffca90, buf = {0, 0}}}
        inputShape = std::vector of length 4, capacity 4 = {1, 32, 16, 16}
        outputShape = std::vector of length 4, capacity 4 = {1, 32, 16, 16}
        activ = 0x0
        minval = -3.40282347e+38
        maxval = 3.40282347e+38
        ifMinMaxAct = false
        N = <optimized out>
        C = <optimized out>
        Di = 32767
        Hi = -13376
        Wi = 32767
        ngroups = -238408950
        K = <optimized out>
        Dk = 32767
        Hk = 1
        Wk = 1
        D0 = <optimized out>
        H0 = -670581248
        W0 = 32767
        Cg = 0
        Kg = 0
        inp_planesize = 256
        out_planesize = 93824998593888
        pad_front = 0
        pad_top = 1
        pad_left = 32
        stride_d = 16
        stride_h = 16
        stride_w = 32
        dilation_d = 16
        dilation_h = 16
        dilation_w = 1
        ksize = 1
        fast_1x1 = false
        DkHkWkCg = 1
        ofstab_ = Python Exception <class 'gdb.error'>: value has been optimized out

        ofstab = 0x7fff01010000
        dhwTab = 0x555501010000
        padded_ksize = 32
        MAX_STRIPES = 32
        K_BLOCK_SIZE = 8
        C_BLOCK_SIZE = <optimized out>
        Kg_nblocks = <optimized out>
        Kg_aligned = 3
        stripes_per_sample = 9
        Kstripes = 12
        nsubtasks = 256
        stripesize = 33619968
        taskbufsize = 93825001837824
        inpbuf_all_ = {ptr = 0x555555b65560, sz = 24608, buf = {3.22835579e+13, 3.0611365e-41, -4.79902466e+14, 4.59163468e-41, 0, 0, 4.60074312e-41, 4.60074312e-41, -4.79752142e+14, 4.59163468e-41, -4.79756974e+14, 4.59163468e-41, 1.40129846e-45, 1.40129846e-45, -5.97020855e+14, 4.59163468e-41, -4.79773885e+14, 4.59163468e-41, -4.79773617e+14, 4.59163468e-41, -nan(0x1ff000), 4.59163468e-41, -nan(0x7fcccf), 4.59163468e-41, 0, 2.3693558e-38, 0, -3.65738899e-43, 0, 0, 0, 0, 0, 0, 2.91401787e+13, 3.0611365e-41, -8.04119282e+31, 4.59163468e-41, -3.65738899e-43, -6.12949036e-13, -7.98244531e+31, 4.59163468e-41, 0, 0, 0, 0, 0, 1.40129846e-45, 5.60519386e-45, 0, -nan(0x7fe4d8), 4.59163468e-41, 1.67794138e+13, 3.0611365e-41, -2.04977755e+30, 4.59163468e-41, -nan(0x7fcee0), 4.59163468e-41, -4.79906761e+14, 4.59163468e-41, -nan(0x7fce40), 4.59163468e-41, -5.97017634e+14, 4.59163468e-41, -nan(0x7fce70), 4.59163468e-41, -4.79752142e+14, 4.59163468e-41, 1.40129846e-45, 0, 931600, -6.12949036e-13, -4.79906761e+14, 4.59163468e-41, -8.0343237e+31, 4.59163468e-41, -nan(0x7fcee7), 1.40129846e-45, -nan(0x7fce80), 4.59163468e-41, -4.79906761e+14, 4.59163468e-41, 0, 0, -6.02085695e+14, 4.59163468e-41, -nan(0x7fcdb8), 4.59163468e-41, 7.28675201e-44, 0, 5.60519386e-45, 0, 2.88996941e+13, 3.0611365e-41, -1.68884066e+30, 4.59163468e-41, -6.45408457e+33, 4.59163468e-41, 931600, -6.12949036e-13, 0, 0, 931600, -6.12949036e-13, 5.60519386e-45, 0, -nan(0x7fff88), -nan(0x7fffff), 0, 0, -1.73952704e+32, 4.59163468e-41, -nan(0x7fce60), 4.59163468e-41, 4.48415509e-44, 0, 2.41929468e+13, 3.0611365e-41, -5.63299237e+33, 4.59163468e-41, 2.18826768e-41, 0, 3.58732407e-43, 0, 2.38220739e-44, 4.59163468e-41, -nan(0x7fce60), 4.59163468e-41, -nan(0x7fcf78), 4.59163468e-41, 3.58732407e-43, 0, -6.45402515e+33, 4.59163468e-41, -nan(0x7fffc0), -nan(0x7fffff), 0, 0, 4.48415509e-44, 0, 2.41929468e+13, 3.0611365e-41, 931600, -6.12949036e-13, 4.20389539e-45, 0, -nan(0x7fff88), -nan(0x7fffff), 0, 0, -nan(0x7fcfa0), 4.59163468e-41, 4.20389539e-45, 0, 4.48415509e-44, 0, 2.41929468e+13, 3.0611365e-41, -5.63571893e+33, 4.59163468e-41, -nan(0x7fcfc0), 4.59163468e-41, -nan(0x7fd220), 4.59163468e-41, -nan(0x7fcfc0), 4.59163468e-41, -1.86144565e+30, 4.59163468e-41, -nan(0x7fcfc0), 4.59163468e-41, -1.54353289e+32, 4.59163468e-41, 3.03270996e+13, 2.35711097e-38, 931600, 1.40129846e-45, 1.40129846e-45, 3.0611365e-41, 2.9038276e+13, 3.0611365e-41, 2.90384249e+13, 3.0611365e-41, -nan(0x7fd290), 4.59163468e-41, 2.90383242e+13, 3.0611365e-41, 4.48415509e-44, 1.40129846e-45, 4.48415509e-44, 1.26116862e-44, 1.40129846e-45, 1.40129846e-45, -nan(0x7fd280), 4.59163468e-41, -nan(0x7fd4b0), 1.40129846e-45, 4.20389539e-45, 4.20389539e-45, 1.26116862e-44, 4.48415509e-44...}}
        inpbuf_all = 0x555555dcc500
        inp = 0x0
        out = 0x1000000000
        fusedAddPtr0 = 0x555555deefc0
#30 0x00007ffff4d938f8 in cv::dnn::ConvolutionLayerImpl::forward(cv::_InputArray const&, cv::_OutputArray const&, cv::_OutputArray const&) (this=0x555555d34740, inputs_arr=<optimized out>, outputs_arr=<optimized out>, internals_arr=<optimized out>) at /usr/src/debug/opencv/opencv-4.7.0/modules/dnn/src/layers/convolution_layer.cpp:1391
        conv_dim = 1
        __region_fn = {pImpl = 0x0, implFlags = 0}
        inputs = std::vector of length 1, capacity 1 = {{flags = 1124057093, dims = 4, rows = -1, cols = -1, data = 0x555555e7d500 "\313l\207\276d%\202\276\262\017\201\276\314m\202\276M\376\203\276\365\a\200\276\2119\216\276f\263_\276\274ό\276\270\242~\276K\245+=3\237\202\276q\240\202\276b*\177\276/\b\203\276\344څ\276\002t\377<T}н\206>ݽ\351=\360\275\315\371\260=\0263\216\276\tL?\276WК=\315k0>Yǃ:\320/m?\022Pm\276O猾}B\306>\236\210Ľsk\232\275\036\207\362\274\2208ѽ'd\273\275\256\336o\276!\341\323=ަ\226\275\202\257&\276 Ol\276ڽP\275\v\273 <.hV\276@\206ǽ\340\334\r?\363\264\342>}\277e\276\027\254=>\026J\027=\271V\n="..., datastart = 0x555555e7d500 "\313l\207\276d%\202\276\262\017\201\276\314m\202\276M\376\203\276\365\a\200\276\2119\216\276f\263_\276\274ό\276\270\242~\276K\245+=3\237\202\276q\240\202\276b*\177\276/\b\203\276\344څ\276\002t\377<T}н\206>ݽ\351=\360\275\315\371\260=\0263\216\276\tL?\276WК=\315k0>Yǃ:\320/m?\022Pm\276O猾}B\306>\236\210Ľsk\232\275\036\207\362\274\2208ѽ'd\273\275\256\336o\276!\341\323=ަ\226\275\202\257&\276 Ol\276ڽP\275\v\273 <.hV\276@\206ǽ\340\334\r?\363\264\342>}\277e\276\027\254=>\026J\027=\271V\n="..., dataend = 0x555555e9d500 "P\365F<N\267\257\272\352\253Z\275\2140c=\036>\3419\367\201\327\273\221", datalimit = 0x555555e9d500 "P\365F<N\267\257\272\352\253Z\275\2140c=\036>\3419\367\201\327\273\221", allocator = 0x0, u = 0x555555d39880, size = {p = 0x555555ea2324}, step = {p = 0x555555ea2300, buf = {0, 0}}}}
        outputs = std::vector of length 1, capacity 1 = {{flags = 1124057093, dims = 4, rows = -1, cols = -1, data = 0x555555dcc500 "\021$\232?\224\245(\2756\017a\275\277\307+\275\034\006u\275\036\270Y\275^\335t\275\224\220\250<\265=\200\275\257?\341=\317\364\206=\020\033\225\275\315|\211\275\337\035\206\275\a/\243\275M\a\213\275w\0314?T\260\237\274\223\2327\275u\224Ľ\342\370/\2742\306\r=Z^\216>\307\a\022\276\253\\\006\276I\223.\276\3403\230\275\331\307\300\273N߹=,\232\341=\351\2638\275\205\177>\275G\345??l8\312<\006$B\276(\aF\275p5\210\2755l\"\2760\360\021>\305o\245\274\260\024\207\274\021Y\030\276\375g\273\274x\031\026\276-\314\004=\243|\254\274\003\220\251=`\302\212<\320r>?\213\a\335="..., datastart = 0x555555dcc500 "\021$\232?\224\245(\2756\017a\275\277\307+\275\034\006u\275\036\270Y\275^\335t\275\224\220\250<\265=\200\275\257?\341=\317\364\206=\020\033\225\275\315|\211\275\337\035\206\275\a/\243\275M\a\213\275w\0314?T\260\237\274\223\2327\275u\224Ľ\342\370/\2742\306\r=Z^\216>\307\a\022\276\253\\\006\276I\223.\276\3403\230\275\331\307\300\273N߹=,\232\341=\351\2638\275\205\177>\275G\345??l8\312<\006$B\276(\aF\275p5\210\2755l\"\2760\360\021>\305o\245\274\260\024\207\274\021Y\030\276\375g\273\274x\031\026\276-\314\004=\243|\254\274\003\220\251=`\302\212<\320r>?\213\a\335="..., dataend = 0x555555dec500 "'\n&=s\256Z\275\221\212B\275\276\033\271\274 \334\303<\033{\005\275\002\224\032<+Ev<k\\\231\274\254\275\211<\021(", datalimit = 0x555555dec500 "'\n&=s\256Z\275\221\212B\275\276\033\271\274 \334\303<\033{\005\275\002\224\032<+Ev<k\\\231\274\254\275\211<\021(", allocator = 0x0, u = 0x555555eb1790, size = {p = 0x555555d413e4}, step = {p = 0x555555d413c0, buf = {0, 0}}}}
        outCn = <optimized out>
        variableWeight = <optimized out>
        inpGroupCn = <optimized out>
        ngroups = 1
        __cv_trace_location_fn1230 = {ppExtra = 0x7ffff50b6838 <cv::dnn::ConvolutionLayerImpl::forward(cv::_InputArray const&, cv::_OutputArray const&, cv::_OutputArray const&)::__cv_trace_location_extra_fn1230>, name = 0x7ffff4fa0fe0 "virtual void cv::dnn::ConvolutionLayerImpl::forward(cv::InputArrayOfArrays, cv::OutputArrayOfArrays, cv::OutputArrayOfArrays)", filename = 0x7ffff4f9ed98 "/usr/src/debug/opencv/opencv-4.7.0/modules/dnn/src/layers/convolution_layer.cpp", line = 1230, flags = 1}
        __cv_trace_arg_name1231 = {ppExtra = 0x7ffff50b6830 <cv::dnn::ConvolutionLayerImpl::forward(cv::_InputArray const&, cv::_OutputArray const&, cv::_OutputArray const&)::__cv_trace_arg_extra_name1231>, name = 0x7ffff4f97f5f "name", flags = 0}
        __cv_trace_location_extra_fn1230 = 0x0
        __cv_trace_arg_extra_name1231 = 0x0
#31 0x00007ffff4e6610a in cv::dnn::dnn4_v20221220::Net::Impl::forwardLayer(cv::dnn::dnn4_v20221220::detail::LayerData&) (this=0x5555559429c0, ld=...) at /usr/src/debug/opencv/opencv-4.7.0/modules/core/include/opencv2/core/mat.inl.hpp:92
        inps = std::vector of length 1, capacity 1 = {{flags = 1124057093, dims = 4, rows = -1, cols = -1, data = 0x555555e7d500 "\313l\207\276d%\202\276\262\017\201\276\314m\202\276M\376\203\276\365\a\200\276\2119\216\276f\263_\276\274ό\276\270\242~\276K\245+=3\237\202\276q\240\202\276b*\177\276/\b\203\276\344څ\276\002t\377<T}н\206>ݽ\351=\360\275\315\371\260=\0263\216\276\tL?\276WК=\315k0>Yǃ:\320/m?\022Pm\276O猾}B\306>\236\210Ľsk\232\275\036\207\362\274\2208ѽ'd\273\275\256\336o\276!\341\323=ަ\226\275\202\257&\276 Ol\276ڽP\275\v\273 <.hV\276@\206ǽ\340\334\r?\363\264\342>}\277e\276\027\254=>\026J\027=\271V\n="..., datastart = 0x555555e7d500 "\313l\207\276d%\202\276\262\017\201\276\314m\202\276M\376\203\276\365\a\200\276\2119\216\276f\263_\276\274ό\276\270\242~\276K\245+=3\237\202\276q\240\202\276b*\177\276/\b\203\276\344څ\276\002t\377<T}н\206>ݽ\351=\360\275\315\371\260=\0263\216\276\tL?\276WК=\315k0>Yǃ:\320/m?\022Pm\276O猾}B\306>\236\210Ľsk\232\275\036\207\362\274\2208ѽ'd\273\275\256\336o\276!\341\323=ަ\226\275\202\257&\276 Ol\276ڽP\275\v\273 <.hV\276@\206ǽ\340\334\r?\363\264\342>}\277e\276\027\254=>\026J\027=\271V\n="..., dataend = 0x555555e9d500 "P\365F<N\267\257\272\352\253Z\275\2140c=\036>\3419\367\201\327\273\221", datalimit = 0x555555e9d500 "P\365F<N\267\257\272\352\253Z\275\2140c=\036>\3419\367\201\327\273\221", allocator = 0x0, u = 0x555555d39880, size = {p = 0x555555ea09a4}, step = {p = 0x555555ea0980, buf = {0, 0}}}}
        tm = {counter = <optimized out>, sumTime = 0, startTime = <optimized out>}
        it = Python Exception <class 'gdb.error'>: value has been optimized out

        t = <optimized out>
        __region_fn = {pImpl = 0x0, implFlags = 0}
        layer = {<std::shared_ptr<cv::dnn::dnn4_v20221220::Layer>> = std::shared_ptr<class cv::dnn::dnn4_v20221220::Layer> (use count 2, weak count 0) = {get() = <optimized out>}, <No data fields>}
        __cv_trace_location_fn616 = {ppExtra = 0x7ffff50b6e78 <cv::dnn::dnn4_v20221220::Net::Impl::forwardLayer(cv::dnn::dnn4_v20221220::detail::LayerData&)::__cv_trace_location_extra_fn616>, name = 0x7ffff4fbecb8 "virtual void cv::dnn::dnn4_v20221220::Net::Impl::forwardLayer(cv::dnn::dnn4_v20221220::detail::LayerData&)", filename = 0x7ffff4fbc820 "/usr/src/debug/opencv/opencv-4.7.0/modules/dnn/src/net_impl.cpp", line = 616, flags = 1}
        __cv_trace_location_extra_fn616 = 0x0
#32 0x00007ffff4e5f813 in cv::dnn::dnn4_v20221220::Net::Impl::forwardToLayer(cv::dnn::dnn4_v20221220::detail::LayerData&, bool) (this=this@entry=0x5555559429c0, ld=..., clearFlags=clearFlags@entry=true) at /usr/src/debug/opencv/opencv-4.7.0/modules/dnn/src/net_impl.cpp:877
        ld = Python Exception <class 'AttributeError'>: 'NoneType' object has no attribute 'pointer'
Python Exception <class 'AttributeError'>: 'NoneType' object has no attribute 'pointer'
@0x555555d343b8: {id = 11, name = "onnx_node!/model.2/m.0/cv1/conv/Conv", type = "Convolution", dtype = 5, params = {<cv::dnn::dnn4_v20221220::Dict> = {dict = std::map with 8 elements}, blobs = std::vector of length 2, capacity 2 = {{flags = 1124024325, dims = 4, rows = -1, cols = -1, data = 0x555555ec7b00 "\244\2534<n\201b=\333\365\221\275.\206\230\275\177\227\316=\f\373z\275\b\273\344\274p\241\355\275iH\t\275t\327\213\274\343=\301<m)ڻ\255\032\254=Y+\340=\355Ӏ\273\2760\030\275\310`սsQ\376\275\233\335w\273\021\301\036=\2036\252<\216\375)\274\022\202\344<J5\177\274\344d\211\273\220巼\0320\226\275d\031(\273\344\315\306<6\316\307<\206溼\237ۘ\275:\335\035<\037\371t\273\377\203\352\274s\017\t>+F\002\275˧\250=\235\273\r>~\aɽ\262I\215<\220\345\267<\a\372\236\274\262\262ʼ\370*\006=\354\2548\274_\271\006>\311(ؽ\fZ\300\275V{\317="..., datastart = 0x555555ec7b00 "\244\2534<n\201b=\333\365\221\275.\206\230\275\177\227\316=\f\373z\275\b\273\344\274p\241\355\275iH\t\275t\327\213\274\343=\301<m)ڻ\255\032\254=Y+\340=\355Ӏ\273\2760\030\275\310`սsQ\376\275\233\335w\273\021\301\036=\2036\252<\216\375)\274\022\202\344<J5\177\274\344d\211\273\220巼\0320\226\275d\031(\273\344\315\306<6\316\307<\206溼\237ۘ\275:\335\035<\037\371t\273\377\203\352\274s\017\t>+F\002\275˧\250=\235\273\r>~\aɽ\262I\215<\220\345\267<\a\372\236\274\262\262ʼ\370*\006=\354\2548\274_\271\006>\311(ؽ\fZ\300\275V{\317="..., dataend = 0x555555ed0b00 "", datalimit = 0x555555ed0b00 "", allocator = 0x0, u = 0x555555ead810, size = {p = 0x555555d313e4}, step = {p = 0x555555d313c0, buf = {0, 0}}}, {flags = 1124024325, dims = 2, rows = 32, cols = 1, data = 0x555555eb2400 "\001\364\225>\227\310\003?v\324|>\022\204'\276X\257(?\245\240\232>\363<", datastart = 0x555555eb2400 "\001\364\225>\227\310\003?v\324|>\022\204'\276X\257(?\245\240\232>\363<", dataend = 0x555555eb2480 "", datalimit = 0x555555eb2480 "", allocator = 0x0, u = 0x555555eb38a0, size = {p = 0x555555d342f8}, step = {p = 0x555555d34340, buf = {4, 4}}}}, name = "onnx_node!/model.2/m.0/cv1/conv/Conv", type = "Convolution"}, inputBlobsId = std::vector of length 1, capacity 1 = {{lid = 10, oid = 1}}, inputLayersId = std::set with 1 element = {[0] = 10}, requiredOutputs = std::set with 1 element = {[0] = 0}, consumers = std::vector of length 2, capacity 2 = {{lid = 12, oid = 0}, {lid = 13, oid = 0}}, outputBlobsWrappers = std::vector of length 1, capacity 1 = {{<std::shared_ptr<cv::dnn::dnn4_v20221220::BackendWrapper>> = std::shared_ptr<class cv::dnn::dnn4_v20221220::BackendWrapper> (empty) = {get() = 0x0}, <No data fields>}}, inputBlobsWrappers = std::vector of length 1, capacity 1 = {{<std::shared_ptr<cv::dnn::dnn4_v20221220::BackendWrapper>> = std::shared_ptr<class cv::dnn::dnn4_v20221220::BackendWrapper> (empty) = {get() = 0x0}, <No data fields>}}, internalBlobsWrappers = std::vector of length 0, capacity 0, layerInstance = {<std::shared_ptr<cv::dnn::dnn4_v20221220::Layer>> = std::shared_ptr<class cv::dnn::dnn4_v20221220::Layer> (use count 2, weak count 0) = {get() = 0x555555d34740}, <No data fields>}, outputBlobs = std::vector of length 1, capacity 1 = {{flags = 1124057093, dims = 4, rows = -1, cols = -1, data = 0x555555dcc500 "\021$\232?\224\245(\2756\017a\275\277\307+\275\034\006u\275\036\270Y\275^\335t\275\224\220\250<\265=\200\275\257?\341=\317\364\206=\020\033\225\275\315|\211\275\337\035\206\275\a/\243\275M\a\213\275w\0314?T\260\237\274\223\2327\275u\224Ľ\342\370/\2742\306\r=Z^\216>\307\a\022\276\253\\\006\276I\223.\276\3403\230\275\331\307\300\273N߹=,\232\341=\351\2638\275\205\177>\275G\345??l8\312<\006$B\276(\aF\275p5\210\2755l\"\2760\360\021>\305o\245\274\260\024\207\274\021Y\030\276\375g\273\274x\031\026\276-\314\004=\243|\254\274\003\220\251=`\302\212<\320r>?\213\a\335="..., datastart = 0x555555dcc500 "\021$\232?\224\245(\2756\017a\275\277\307+\275\034\006u\275\036\270Y\275^\335t\275\224\220\250<\265=\200\275\257?\341=\317\364\206=\020\033\225\275\315|\211\275\337\035\206\275\a/\243\275M\a\213\275w\0314?T\260\237\274\223\2327\275u\224Ľ\342\370/\2742\306\r=Z^\216>\307\a\022\276\253\\\006\276I\223.\276\3403\230\275\331\307\300\273N߹=,\232\341=\351\2638\275\205\177>\275G\345??l8\312<\006$B\276(\aF\275p5\210\2755l\"\2760\360\021>\305o\245\274\260\024\207\274\021Y\030\276\375g\273\274x\031\026\276-\314\004=\243|\254\274\003\220\251=`\302\212<\320r>?\213\a\335="..., dataend = 0x555555dec500 "'\n&=s\256Z\275\221\212B\275\276\033\271\274 \334\303<\033{\005\275\002\224\032<+Ev<k\\\231\274\254\275\211<\021(", datalimit = 0x555555dec500 "'\n&=s\256Z\275\221\212B\275\276\033\271\274 \334\303<\033{\005\275\002\224\032<+Ev<k\\\231\274\254\275\211<\021(", allocator = 0x0, u = 0x555555eb1790, size = {p = 0x555555d24924}, step = {p = 0x555555d24900, buf = {0, 0}}}}, inputBlobs = std::vector of length 1, capacity 1 = {0x555555d0b220}, internals = std::vector of length 0, capacity 0, backendNodes = std::map with 0 elements, skip = false, flag = 0}
        it = {first = 11, second = {id = 11, name = "onnx_node!/model.2/m.0/cv1/conv/Conv", type = "Convolution", dtype = 5, params = {<cv::dnn::dnn4_v20221220::Dict> = {dict = std::map with 8 elements = {["depth"] = {type = cv::Param::INT, {pi = 0x555555d34270, pd = 0x555555d34270, ps = 0x555555d34270, pv = 0x555555d34270}}, ["dilation"] = {type = cv::Param::INT, {pi = 0x555555d341d0, pd = 0x555555d341d0, ps = 0x555555d341d0, pv = 0x555555d341d0}}, ["group"] = {type = cv::Param::INT, {pi = 0x555555d33cb0, pd = 0x555555d33cb0, ps = 0x555555d33cb0, pv = 0x555555d33cb0}}, ["has_dynamic_shapes"] = {type = cv::Param::INT, {pi = 0x555555d34150, pd = 0x555555d34150, ps = 0x555555d34150, pv = 0x555555d34150}}, ["kernel_size"] = {type = cv::Param::INT, {pi = 0x555555d34010, pd = 0x555555d34010, ps = 0x555555d34010, pv = 0x555555d34010}}, ["num_output"] = {type = cv::Param::INT, {pi = 0x555555d340b0, pd = 0x555555d340b0, ps = 0x555555d340b0, pv = 0x555555d340b0}}, ["pad"] = {type = cv::Param::INT, {pi = 0x555555d33cd0, pd = 0x555555d33cd0, ps = 0x555555d33cd0, pv = 0x555555d33cd0}}, ["stride"] = {type = cv::Param::INT, {pi = 0x555555d33f70, pd = 0x555555d33f70, ps = 0x555555d33f70, pv = 0x555555d33f70}}}}, blobs = std::vector of length 2, capacity 2 = {{flags = 1124024325, dims = 4, rows = -1, cols = -1, data = 0x555555ec7b00 "\244\2534<n\201b=\333\365\221\275.\206\230\275\177\227\316=\f\373z\275\b\273\344\274p\241\355\275iH\t\275t\327\213\274\343=\301<m)ڻ\255\032\254=Y+\340=\355Ӏ\273\2760\030\275\310`սsQ\376\275\233\335w\273\021\301\036=\2036\252<\216\375)\274\022\202\344<J5\177\274\344d\211\273\220巼\0320\226\275d\031(\273\344\315\306<6\316\307<\206溼\237ۘ\275:\335\035<\037\371t\273\377\203\352\274s\017\t>+F\002\275˧\250=\235\273\r>~\aɽ\262I\215<\220\345\267<\a\372\236\274\262\262ʼ\370*\006=\354\2548\274_\271\006>\311(ؽ\fZ\300\275V{\317="..., datastart = 0x555555ec7b00 "\244\2534<n\201b=\333\365\221\275.\206\230\275\177\227\316=\f\373z\275\b\273\344\274p\241\355\275iH\t\275t\327\213\274\343=\301<m)ڻ\255\032\254=Y+\340=\355Ӏ\273\2760\030\275\310`սsQ\376\275\233\335w\273\021\301\036=\2036\252<\216\375)\274\022\202\344<J5\177\274\344d\211\273\220巼\0320\226\275d\031(\273\344\315\306<6\316\307<\206溼\237ۘ\275:\335\035<\037\371t\273\377\203\352\274s\017\t>+F\002\275˧\250=\235\273\r>~\aɽ\262I\215<\220\345\267<\a\372\236\274\262\262ʼ\370*\006=\354\2548\274_\271\006>\311(ؽ\fZ\300\275V{\317="..., dataend = 0x555555ed0b00 "", datalimit = 0x555555ed0b00 "", allocator = 0x0, u = 0x555555ead810, size = {p = 0x555555d313e4}, step = {p = 0x555555d313c0, buf = {0, 0}}}, {flags = 1124024325, dims = 2, rows = 32, cols = 1, data = 0x555555eb2400 "\001\364\225>\227\310\003?v\324|>\022\204'\276X\257(?\245\240\232>\363<", datastart = 0x555555eb2400 "\001\364\225>\227\310\003?v\324|>\022\204'\276X\257(?\245\240\232>\363<", dataend = 0x555555eb2480 "", datalimit = 0x555555eb2480 "", allocator = 0x0, u = 0x555555eb38a0, size = {p = 0x555555d342f8}, step = {p = 0x555555d34340, buf = {4, 4}}}}, name = "onnx_node!/model.2/m.0/cv1/conv/Conv", type = "Convolution"}, inputBlobsId = std::vector of length 1, capacity 1 = {{lid = 10, oid = 1}}, inputLayersId = std::set with 1 element = {[0] = 10}, requiredOutputs = std::set with 1 element = {[0] = 0}, consumers = std::vector of length 2, capacity 2 = {{lid = 12, oid = 0}, {lid = 13, oid = 0}}, outputBlobsWrappers = std::vector of length 1, capacity 1 = {{<std::shared_ptr<cv::dnn::dnn4_v20221220::BackendWrapper>> = std::shared_ptr<cv::dnn::dnn4_v20221220::BackendWrapper> (empty) = {get() = 0x0}, <No data fields>}}, inputBlobsWrappers = std::vector of length 1, capacity 1 = {{<std::shared_ptr<cv::dnn::dnn4_v20221220::BackendWrapper>> = std::shared_ptr<cv::dnn::dnn4_v20221220::BackendWrapper> (empty) = {get() = 0x0}, <No data fields>}}, internalBlobsWrappers = std::vector of length 0, capacity 0, layerInstance = {<std::shared_ptr<cv::dnn::dnn4_v20221220::Layer>> = std::shared_ptr<cv::dnn::dnn4_v20221220::Layer> (use count 2, weak count 0) = {get() = 0x555555d34740}, <No data fields>}, outputBlobs = std::vector of length 1, capacity 1 = {{flags = 1124057093, dims = 4, rows = -1, cols = -1, data = 0x555555dcc500 "\021$\232?\224\245(\2756\017a\275\277\307+\275\034\006u\275\036\270Y\275^\335t\275\224\220\250<\265=\200\275\257?\341=\317\364\206=\020\033\225\275\315|\211\275\337\035\206\275\a/\243\275M\a\213\275w\0314?T\260\237\274\223\2327\275u\224Ľ\342\370/\2742\306\r=Z^\216>\307\a\022\276\253\\\006\276I\223.\276\3403\230\275\331\307\300\273N߹=,\232\341=\351\2638\275\205\177>\275G\345??l8\312<\006$B\276(\aF\275p5\210\2755l\"\2760\360\021>\305o\245\274\260\024\207\274\021Y\030\276\375g\273\274x\031\026\276-\314\004=\243|\254\274\003\220\251=`\302\212<\320r>?\213\a\335="..., datastart = 0x555555dcc500 "\021$\232?\224\245(\2756\017a\275\277\307+\275\034\006u\275\036\270Y\275^\335t\275\224\220\250<\265=\200\275\257?\341=\317\364\206=\020\033\225\275\315|\211\275\337\035\206\275\a/\243\275M\a\213\275w\0314?T\260\237\274\223\2327\275u\224Ľ\342\370/\2742\306\r=Z^\216>\307\a\022\276\253\\\006\276I\223.\276\3403\230\275\331\307\300\273N߹=,\232\341=\351\2638\275\205\177>\275G\345??l8\312<\006$B\276(\aF\275p5\210\2755l\"\2760\360\021>\305o\245\274\260\024\207\274\021Y\030\276\375g\273\274x\031\026\276-\314\004=\243|\254\274\003\220\251=`\302\212<\320r>?\213\a\335="..., dataend = 0x555555dec500 "'\n&=s\256Z\275\221\212B\275\276\033\271\274 \334\303<\033{\005\275\002\224\032<+Ev<k\\\231\274\254\275\211<\021(", datalimit = 0x555555dec500 "'\n&=s\256Z\275\221\212B\275\276\033\271\274 \334\303<\033{\005\275\002\224\032<+Ev<k\\\231\274\254\275\211<\021(", allocator = 0x0, u = 0x555555eb1790, size = {p = 0x555555d24924}, step = {p = 0x555555d24900, buf = {0, 0}}}}, inputBlobs = std::vector of length 1, capacity 1 = {0x555555d0b220}, internals = std::vector of length 0, capacity 0, backendNodes = std::map with 0 elements, skip = false, flag = 0}}
        __region_fn = {pImpl = 0x0, implFlags = 0}
        __cv_trace_location_fn859 = {ppExtra = 0x7ffff50b6e70 <cv::dnn::dnn4_v20221220::Net::Impl::forwardToLayer(cv::dnn::dnn4_v20221220::detail::LayerData&, bool)::__cv_trace_location_extra_fn859>, name = 0x7ffff4fbec48 "void cv::dnn::dnn4_v20221220::Net::Impl::forwardToLayer(cv::dnn::dnn4_v20221220::detail::LayerData&, bool)", filename = 0x7ffff4fbc820 "/usr/src/debug/opencv/opencv-4.7.0/modules/dnn/src/net_impl.cpp", line = 859, flags = 1}
        __cv_trace_location_extra_fn859 = 0x0
#33 0x00007ffff4e63bd2 in cv::dnn::dnn4_v20221220::Net::Impl::forward(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) (this=0x5555559429c0, outputName=<optimized out>) at /usr/src/debug/opencv/opencv-4.7.0/modules/dnn/src/net_impl.cpp:906
        fp_denormals_ignore_scope = {saved_state = {reserved = {32832, 0, 4294958208, 32767, 4140684975, 32767, 4155946734, 32767, 32, 48, 4294958080, 32767, 4294957888, 32767, 1231253760, 2871822242}}}
        layerName = "output0"
        pins = std::vector of length 1, capacity 1 = {{lid = 98, oid = 0}}
#34 0x00007ffff4e523c0 in cv::dnn::dnn4_v20221220::Net::forward(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) (this=this@entry=0x7ffff7301ac0, outputName="") at /usr/include/c++/12.2.1/bits/shared_ptr_base.h:1665
        __region_fn = {pImpl = 0x0, implFlags = 0}
        __cv_trace_location_fn77 = {ppExtra = 0x7ffff50b6c68 <cv::dnn::dnn4_v20221220::Net::forward(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::__cv_trace_location_extra_fn77>, name = 0x7ffff4fbbc58 "cv::Mat cv::dnn::dnn4_v20221220::Net::forward(const cv::String&)", filename = 0x7ffff4fbb628 "/usr/src/debug/opencv/opencv-4.7.0/modules/dnn/src/net.cpp", line = 77, flags = 1}
        __cv_trace_location_extra_fn77 = 0x0
#35 0x00007ffff69389c7 in pyopencv_cv_dnn_dnn_Net_forward(PyObject*, PyObject*, PyObject*) (self=<optimized out>, py_args=<optimized out>, kw=0x0) at /usr/src/debug/opencv/build/modules/python_bindings_generator/pyopencv_generated_types_content.h:48821
        allowThreads = {_state = 0x55555555e460}
        pyobj_outputName = 0x0
        outputName = ""
        retval = {flags = 1124007936, dims = 0, rows = 0, cols = 0, data = 0x0, datastart = 0x0, dataend = 0x0, datalimit = 0x0, allocator = 0x0, u = 0x0, size = {p = 0x7fffffffdcf8}, step = {p = 0x7fffffffdd40, buf = {0, 0}}}
        keywords = {0x7ffff6cdd6af "outputName", 0x0}
        self1 = <optimized out>
        _self_ = <optimized out>
#36 0x00007ffff7b56f43 in method_vectorcall_VARARGS_KEYWORDS (func=<optimized out>, args=0x7ffff7745ba8, nargsf=<optimized out>, kwnames=<optimized out>) at Objects/descrobject.c:344
        tstate = 0x55555555e460
        nargs = 1
        argstuple = 0x7ffff7720070
        result = 0x0
        kwdict = 0x0
        meth = <optimized out>
#37 0x00007ffff7b4590a in _PyObject_VectorcallTstate (kwnames=0x0, nargsf=<optimized out>, args=0x7ffff7745ba8, callable=0x7fffd80d10d0, tstate=0x55555555e460) at ./Include/cpython/abstract.h:114
        func = <optimized out>
        res = <optimized out>
        tstate = 0x55555555e460
        func = 0x7fffd80d10d0
        w = <optimized out>
        nkwargs = 0
        nargs = <optimized out>
        pfunc = 0x7ffff7745ba0
        x = <optimized out>
        stack = 0x7ffff7745ba8
        meth = <optimized out>
        sp = <optimized out>
        res = <optimized out>
        stack_pointer = <optimized out>
        next_instr = <optimized out>
        opcode = <optimized out>
        oparg = <optimized out>
        fastlocals = 0x7ffff7745ba0
        freevars = 0x7ffff7745ba0
        retval = 0x0
        eval_breaker = 0x555555585234
        co = 0x7ffff733f470
        first_instr = 0x7ffff778e1a0
        names = 0x7ffff7375ee0
        consts = 0x7ffff776e700
        co_opcache = <optimized out>
        trace_info = {code = 0x0, bounds = {ar_start = -139218374, ar_end = 32767, ar_line = 1432487984, opaque = {computed_line = -143369664, lo_next = 0x0, limit = 0xffffffffffffff88 <error: Cannot access memory at address 0xffffffffffffff88>}}, cframe = {use_tracing = 0, previous = 0x55555555e568}}
        prev_cframe = <optimized out>
        __func__ = "_PyEval_EvalFrameDefault"
        opcode_targets = {0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b45d2a <_PyEval_EvalFrameDefault+2970>, 0x7ffff7b46c04 <_PyEval_EvalFrameDefault+6772>, 0x7ffff7b46ade <_PyEval_EvalFrameDefault+6478>, 0x7ffff7b463cd <_PyEval_EvalFrameDefault+4669>, 0x7ffff7b47d60 <_PyEval_EvalFrameDefault+11216>, 0x7ffff7b483f4 <_PyEval_EvalFrameDefault+12900>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b47339 <_PyEval_EvalFrameDefault+8617>, 0x7ffff7b48459 <_PyEval_EvalFrameDefault+13001>, 0x7ffff7b47677 <_PyEval_EvalFrameDefault+9447>, 0x7ffff7b479d3 <_PyEval_EvalFrameDefault+10307>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b4854c <_PyEval_EvalFrameDefault+13244>, 0x7ffff7a693d5 <_PyEval_EvalFrameDefault-900539>, 0x7ffff7a684ac <_PyEval_EvalFrameDefault-904420>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b46900 <_PyEval_EvalFrameDefault+6000>, 0x7ffff7b45e8f <_PyEval_EvalFrameDefault+3327>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b47290 <_PyEval_EvalFrameDefault+8448>, 0x7ffff7b46040 <_PyEval_EvalFrameDefault+3760>, 0x7ffff7b460eb <_PyEval_EvalFrameDefault+3931>, 0x7ffff7b45d82 <_PyEval_EvalFrameDefault+3058>, 0x7ffff7b47479 <_PyEval_EvalFrameDefault+8937>, 0x7ffff7b46a1d <_PyEval_EvalFrameDefault+6285>, 0x7ffff7b48081 <_PyEval_EvalFrameDefault+12017>, 0x7ffff7b49ba7 <_PyEval_EvalFrameDefault+18967>, 0x7ffff7b49adb <_PyEval_EvalFrameDefault+18763>, 0x7ffff7b48c2f <_PyEval_EvalFrameDefault+15007>, 0x7ffff7b499d9 <_PyEval_EvalFrameDefault+18505>, 0x7ffff7b486fa <_PyEval_EvalFrameDefault+13674>, 0x7ffff7b48641 <_PyEval_EvalFrameDefault+13489>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127> <repeats 14 times>, 0x7ffff7b49827 <_PyEval_EvalFrameDefault+18071>, 0x7ffff7a6994c <_PyEval_EvalFrameDefault-899140>, 0x7ffff7a69f84 <_PyEval_EvalFrameDefault-897548>, 0x7ffff7a69eb9 <_PyEval_EvalFrameDefault-897751>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7a6abbd <_PyEval_EvalFrameDefault-894419>, 0x7ffff7b467bc <_PyEval_EvalFrameDefault+5676>, 0x7ffff7b481b5 <_PyEval_EvalFrameDefault+12325>, 0x7ffff7b4825b <_PyEval_EvalFrameDefault+12491>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b482e9 <_PyEval_EvalFrameDefault+12633>, 0x7ffff7b46423 <_PyEval_EvalFrameDefault+4755>, 0x7ffff7b47a52 <_PyEval_EvalFrameDefault+10434>, 0x7ffff7b4751c <_PyEval_EvalFrameDefault+9100>, 0x7ffff7b46f1e <_PyEval_EvalFrameDefault+7566>, 0x7ffff7b46c56 <_PyEval_EvalFrameDefault+6854>, 0x7ffff7b48127 <_PyEval_EvalFrameDefault+12183>, 0x7ffff7b477cb <_PyEval_EvalFrameDefault+9787>, 0x7ffff7b49579 <_PyEval_EvalFrameDefault+17385>, 0x7ffff7b469aa <_PyEval_EvalFrameDefault+6170>, 0x7ffff7b485bf <_PyEval_EvalFrameDefault+13359>, 0x7ffff7b492ab <_PyEval_EvalFrameDefault+16667>, 0x7ffff7b48e3b <_PyEval_EvalFrameDefault+15531>, 0x7ffff7b46e9a 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<_PyEval_EvalFrameDefault-902127>, 0x7ffff7a69356 <_PyEval_EvalFrameDefault-900666>, 0x7ffff7b47dc8 <_PyEval_EvalFrameDefault+11320>, 0x7ffff7b49034 <_PyEval_EvalFrameDefault+16036>, 0x7ffff7b498d7 <_PyEval_EvalFrameDefault+18247>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b457ce <_PyEval_EvalFrameDefault+1598>, 0x7ffff7b45871 <_PyEval_EvalFrameDefault+1761>, 0x7ffff7b48975 <_PyEval_EvalFrameDefault+14309>, 0x7ffff7b48abc <_PyEval_EvalFrameDefault+14636>, 0x7ffff7b476ec <_PyEval_EvalFrameDefault+9564>, 0x7ffff7b48fb5 <_PyEval_EvalFrameDefault+15909>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127> <repeats 90 times>}
        PyId_displayhook = {string = 0x7ffff7c7f379 "displayhook", index = -1}
        PyId_send = {string = 0x7ffff7c8ad94 "send", index = -1}
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        PyId___annotations__ = {string = 0x7ffff7c7fca8 "__annotations__", index = 124}
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        PyId___exit__ = {string = 0x7ffff7c87140 "__exit__", index = 41}
#38 PyObject_Vectorcall (kwnames=0x0, nargsf=<optimized out>, args=0x7ffff7745ba8, callable=0x7fffd80d10d0) at ./Include/cpython/abstract.h:123
        tstate = 0x55555555e460
        func = 0x7fffd80d10d0
        w = <optimized out>
        nkwargs = 0
        nargs = <optimized out>
        pfunc = 0x7ffff7745ba0
        x = <optimized out>
        stack = 0x7ffff7745ba8
        meth = <optimized out>
        sp = <optimized out>
        res = <optimized out>
        stack_pointer = <optimized out>
        next_instr = <optimized out>
        opcode = <optimized out>
        oparg = <optimized out>
        fastlocals = 0x7ffff7745ba0
        freevars = 0x7ffff7745ba0
        retval = 0x0
        eval_breaker = 0x555555585234
        co = 0x7ffff733f470
        first_instr = 0x7ffff778e1a0
        names = 0x7ffff7375ee0
        consts = 0x7ffff776e700
        co_opcache = <optimized out>
        trace_info = {code = 0x0, bounds = {ar_start = -139218374, ar_end = 32767, ar_line = 1432487984, opaque = {computed_line = -143369664, lo_next = 0x0, limit = 0xffffffffffffff88 <error: Cannot access memory at address 0xffffffffffffff88>}}, cframe = {use_tracing = 0, previous = 0x55555555e568}}
        prev_cframe = <optimized out>
        __func__ = "_PyEval_EvalFrameDefault"
        opcode_targets = {0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b45d2a <_PyEval_EvalFrameDefault+2970>, 0x7ffff7b46c04 <_PyEval_EvalFrameDefault+6772>, 0x7ffff7b46ade <_PyEval_EvalFrameDefault+6478>, 0x7ffff7b463cd <_PyEval_EvalFrameDefault+4669>, 0x7ffff7b47d60 <_PyEval_EvalFrameDefault+11216>, 0x7ffff7b483f4 <_PyEval_EvalFrameDefault+12900>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b47339 <_PyEval_EvalFrameDefault+8617>, 0x7ffff7b48459 <_PyEval_EvalFrameDefault+13001>, 0x7ffff7b47677 <_PyEval_EvalFrameDefault+9447>, 0x7ffff7b479d3 <_PyEval_EvalFrameDefault+10307>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b4854c <_PyEval_EvalFrameDefault+13244>, 0x7ffff7a693d5 <_PyEval_EvalFrameDefault-900539>, 0x7ffff7a684ac <_PyEval_EvalFrameDefault-904420>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b46900 <_PyEval_EvalFrameDefault+6000>, 0x7ffff7b45e8f <_PyEval_EvalFrameDefault+3327>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b47290 <_PyEval_EvalFrameDefault+8448>, 0x7ffff7b46040 <_PyEval_EvalFrameDefault+3760>, 0x7ffff7b460eb <_PyEval_EvalFrameDefault+3931>, 0x7ffff7b45d82 <_PyEval_EvalFrameDefault+3058>, 0x7ffff7b47479 <_PyEval_EvalFrameDefault+8937>, 0x7ffff7b46a1d <_PyEval_EvalFrameDefault+6285>, 0x7ffff7b48081 <_PyEval_EvalFrameDefault+12017>, 0x7ffff7b49ba7 <_PyEval_EvalFrameDefault+18967>, 0x7ffff7b49adb <_PyEval_EvalFrameDefault+18763>, 0x7ffff7b48c2f <_PyEval_EvalFrameDefault+15007>, 0x7ffff7b499d9 <_PyEval_EvalFrameDefault+18505>, 0x7ffff7b486fa <_PyEval_EvalFrameDefault+13674>, 0x7ffff7b48641 <_PyEval_EvalFrameDefault+13489>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127> <repeats 14 times>, 0x7ffff7b49827 <_PyEval_EvalFrameDefault+18071>, 0x7ffff7a6994c <_PyEval_EvalFrameDefault-899140>, 0x7ffff7a69f84 <_PyEval_EvalFrameDefault-897548>, 0x7ffff7a69eb9 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0x7ffff7b45cd9 <_PyEval_EvalFrameDefault+2889>, 0x7ffff7b45658 <_PyEval_EvalFrameDefault+1224>, 0x7ffff7b45c59 <_PyEval_EvalFrameDefault+2761>, 0x7ffff7b45583 <_PyEval_EvalFrameDefault+1011>, 0x7ffff7b45e0a <_PyEval_EvalFrameDefault+3194>, 0x7ffff7b464c1 <_PyEval_EvalFrameDefault+4913>, 0x7ffff7b48b39 <_PyEval_EvalFrameDefault+14761>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b475bd <_PyEval_EvalFrameDefault+9261>, 0x7ffff7b462f8 <_PyEval_EvalFrameDefault+4456>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b45314 <_PyEval_EvalFrameDefault+388>, 0x7ffff7b453dd <_PyEval_EvalFrameDefault+589>, 0x7ffff7b49191 <_PyEval_EvalFrameDefault+16385>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b4776f <_PyEval_EvalFrameDefault+9695>, 0x7ffff7b491fe <_PyEval_EvalFrameDefault+16494>, 0x7ffff7b4544b <_PyEval_EvalFrameDefault+699>, 0x7ffff7b46fbf <_PyEval_EvalFrameDefault+7727>, 0x7ffff7b46cf9 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<_PyEval_EvalFrameDefault-902127>, 0x7ffff7a69356 <_PyEval_EvalFrameDefault-900666>, 0x7ffff7b47dc8 <_PyEval_EvalFrameDefault+11320>, 0x7ffff7b49034 <_PyEval_EvalFrameDefault+16036>, 0x7ffff7b498d7 <_PyEval_EvalFrameDefault+18247>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b457ce <_PyEval_EvalFrameDefault+1598>, 0x7ffff7b45871 <_PyEval_EvalFrameDefault+1761>, 0x7ffff7b48975 <_PyEval_EvalFrameDefault+14309>, 0x7ffff7b48abc <_PyEval_EvalFrameDefault+14636>, 0x7ffff7b476ec <_PyEval_EvalFrameDefault+9564>, 0x7ffff7b48fb5 <_PyEval_EvalFrameDefault+15909>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127> <repeats 90 times>}
        PyId_displayhook = {string = 0x7ffff7c7f379 "displayhook", index = -1}
        PyId_send = {string = 0x7ffff7c8ad94 "send", index = -1}
        PyId___build_class__ = {string = 0x7ffff7c8a014 "__build_class__", index = 18}
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        PyId___exit__ = {string = 0x7ffff7c87140 "__exit__", index = 41}
#39 call_function (kwnames=0x0, oparg=<optimized out>, pp_stack=<synthetic pointer>, trace_info=0x7fffffffdfc0, tstate=<optimized out>) at Python/ceval.c:5891
        func = 0x7fffd80d10d0
        w = <optimized out>
        nkwargs = 0
        nargs = <optimized out>
        pfunc = 0x7ffff7745ba0
        x = <optimized out>
        stack = 0x7ffff7745ba8
        meth = <optimized out>
        sp = <optimized out>
        res = <optimized out>
        stack_pointer = <optimized out>
        next_instr = <optimized out>
        opcode = <optimized out>
        oparg = <optimized out>
        fastlocals = 0x7ffff7745ba0
        freevars = 0x7ffff7745ba0
        retval = 0x0
        eval_breaker = 0x555555585234
        co = 0x7ffff733f470
        first_instr = 0x7ffff778e1a0
        names = 0x7ffff7375ee0
        consts = 0x7ffff776e700
        co_opcache = <optimized out>
        trace_info = {code = 0x0, bounds = {ar_start = -139218374, ar_end = 32767, ar_line = 1432487984, opaque = {computed_line = -143369664, lo_next = 0x0, limit = 0xffffffffffffff88 <error: Cannot access memory at address 0xffffffffffffff88>}}, cframe = {use_tracing = 0, previous = 0x55555555e568}}
        prev_cframe = <optimized out>
        __func__ = "_PyEval_EvalFrameDefault"
        opcode_targets = {0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b45d2a <_PyEval_EvalFrameDefault+2970>, 0x7ffff7b46c04 <_PyEval_EvalFrameDefault+6772>, 0x7ffff7b46ade <_PyEval_EvalFrameDefault+6478>, 0x7ffff7b463cd <_PyEval_EvalFrameDefault+4669>, 0x7ffff7b47d60 <_PyEval_EvalFrameDefault+11216>, 0x7ffff7b483f4 <_PyEval_EvalFrameDefault+12900>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b47339 <_PyEval_EvalFrameDefault+8617>, 0x7ffff7b48459 <_PyEval_EvalFrameDefault+13001>, 0x7ffff7b47677 <_PyEval_EvalFrameDefault+9447>, 0x7ffff7b479d3 <_PyEval_EvalFrameDefault+10307>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b4854c <_PyEval_EvalFrameDefault+13244>, 0x7ffff7a693d5 <_PyEval_EvalFrameDefault-900539>, 0x7ffff7a684ac <_PyEval_EvalFrameDefault-904420>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b46900 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0x7ffff7b45cd9 <_PyEval_EvalFrameDefault+2889>, 0x7ffff7b45658 <_PyEval_EvalFrameDefault+1224>, 0x7ffff7b45c59 <_PyEval_EvalFrameDefault+2761>, 0x7ffff7b45583 <_PyEval_EvalFrameDefault+1011>, 0x7ffff7b45e0a <_PyEval_EvalFrameDefault+3194>, 0x7ffff7b464c1 <_PyEval_EvalFrameDefault+4913>, 0x7ffff7b48b39 <_PyEval_EvalFrameDefault+14761>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b475bd <_PyEval_EvalFrameDefault+9261>, 0x7ffff7b462f8 <_PyEval_EvalFrameDefault+4456>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b45314 <_PyEval_EvalFrameDefault+388>, 0x7ffff7b453dd <_PyEval_EvalFrameDefault+589>, 0x7ffff7b49191 <_PyEval_EvalFrameDefault+16385>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b4776f <_PyEval_EvalFrameDefault+9695>, 0x7ffff7b491fe <_PyEval_EvalFrameDefault+16494>, 0x7ffff7b4544b <_PyEval_EvalFrameDefault+699>, 0x7ffff7b46fbf <_PyEval_EvalFrameDefault+7727>, 0x7ffff7b46cf9 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<_PyEval_EvalFrameDefault-902127>, 0x7ffff7a69356 <_PyEval_EvalFrameDefault-900666>, 0x7ffff7b47dc8 <_PyEval_EvalFrameDefault+11320>, 0x7ffff7b49034 <_PyEval_EvalFrameDefault+16036>, 0x7ffff7b498d7 <_PyEval_EvalFrameDefault+18247>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b457ce <_PyEval_EvalFrameDefault+1598>, 0x7ffff7b45871 <_PyEval_EvalFrameDefault+1761>, 0x7ffff7b48975 <_PyEval_EvalFrameDefault+14309>, 0x7ffff7b48abc <_PyEval_EvalFrameDefault+14636>, 0x7ffff7b476ec <_PyEval_EvalFrameDefault+9564>, 0x7ffff7b48fb5 <_PyEval_EvalFrameDefault+15909>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127> <repeats 90 times>}
        PyId_displayhook = {string = 0x7ffff7c7f379 "displayhook", index = -1}
        PyId_send = {string = 0x7ffff7c8ad94 "send", index = -1}
        PyId___build_class__ = {string = 0x7ffff7c8a014 "__build_class__", index = 18}
        PyId___annotations__ = {string = 0x7ffff7c7fca8 "__annotations__", index = 124}
        PyId___aenter__ = {string = 0x7ffff7c8a009 "__aenter__", index = -1}
        PyId___aexit__ = {string = 0x7ffff7c89fff "__aexit__", index = -1}
        PyId___enter__ = {string = 0x7ffff7c87136 "__enter__", index = 40}
        PyId___exit__ = {string = 0x7ffff7c87140 "__exit__", index = 41}
#40 _PyEval_EvalFrameDefault (tstate=<optimized out>, f=0x7ffff7745a40, throwflag=<optimized out>) at Python/ceval.c:4198
        meth = <optimized out>
        sp = <optimized out>
        res = <optimized out>
        stack_pointer = <optimized out>
        next_instr = <optimized out>
        opcode = <optimized out>
        oparg = <optimized out>
        fastlocals = 0x7ffff7745ba0
        freevars = 0x7ffff7745ba0
        retval = 0x0
        eval_breaker = 0x555555585234
        co = 0x7ffff733f470
        first_instr = 0x7ffff778e1a0
        names = 0x7ffff7375ee0
        consts = 0x7ffff776e700
        co_opcache = <optimized out>
        trace_info = {code = 0x0, bounds = {ar_start = -139218374, ar_end = 32767, ar_line = 1432487984, opaque = {computed_line = -143369664, lo_next = 0x0, limit = 0xffffffffffffff88 <error: Cannot access memory at address 0xffffffffffffff88>}}, cframe = {use_tracing = 0, previous = 0x55555555e568}}
        prev_cframe = <optimized out>
        __func__ = "_PyEval_EvalFrameDefault"
        opcode_targets = {0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b45d2a <_PyEval_EvalFrameDefault+2970>, 0x7ffff7b46c04 <_PyEval_EvalFrameDefault+6772>, 0x7ffff7b46ade <_PyEval_EvalFrameDefault+6478>, 0x7ffff7b463cd <_PyEval_EvalFrameDefault+4669>, 0x7ffff7b47d60 <_PyEval_EvalFrameDefault+11216>, 0x7ffff7b483f4 <_PyEval_EvalFrameDefault+12900>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b47339 <_PyEval_EvalFrameDefault+8617>, 0x7ffff7b48459 <_PyEval_EvalFrameDefault+13001>, 0x7ffff7b47677 <_PyEval_EvalFrameDefault+9447>, 0x7ffff7b479d3 <_PyEval_EvalFrameDefault+10307>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b4854c <_PyEval_EvalFrameDefault+13244>, 0x7ffff7a693d5 <_PyEval_EvalFrameDefault-900539>, 0x7ffff7a684ac <_PyEval_EvalFrameDefault-904420>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b46900 <_PyEval_EvalFrameDefault+6000>, 0x7ffff7b45e8f <_PyEval_EvalFrameDefault+3327>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b47290 <_PyEval_EvalFrameDefault+8448>, 0x7ffff7b46040 <_PyEval_EvalFrameDefault+3760>, 0x7ffff7b460eb <_PyEval_EvalFrameDefault+3931>, 0x7ffff7b45d82 <_PyEval_EvalFrameDefault+3058>, 0x7ffff7b47479 <_PyEval_EvalFrameDefault+8937>, 0x7ffff7b46a1d <_PyEval_EvalFrameDefault+6285>, 0x7ffff7b48081 <_PyEval_EvalFrameDefault+12017>, 0x7ffff7b49ba7 <_PyEval_EvalFrameDefault+18967>, 0x7ffff7b49adb <_PyEval_EvalFrameDefault+18763>, 0x7ffff7b48c2f <_PyEval_EvalFrameDefault+15007>, 0x7ffff7b499d9 <_PyEval_EvalFrameDefault+18505>, 0x7ffff7b486fa <_PyEval_EvalFrameDefault+13674>, 0x7ffff7b48641 <_PyEval_EvalFrameDefault+13489>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127> <repeats 14 times>, 0x7ffff7b49827 <_PyEval_EvalFrameDefault+18071>, 0x7ffff7a6994c <_PyEval_EvalFrameDefault-899140>, 0x7ffff7a69f84 <_PyEval_EvalFrameDefault-897548>, 0x7ffff7a69eb9 <_PyEval_EvalFrameDefault-897751>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7a6abbd <_PyEval_EvalFrameDefault-894419>, 0x7ffff7b467bc <_PyEval_EvalFrameDefault+5676>, 0x7ffff7b481b5 <_PyEval_EvalFrameDefault+12325>, 0x7ffff7b4825b <_PyEval_EvalFrameDefault+12491>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b482e9 <_PyEval_EvalFrameDefault+12633>, 0x7ffff7b46423 <_PyEval_EvalFrameDefault+4755>, 0x7ffff7b47a52 <_PyEval_EvalFrameDefault+10434>, 0x7ffff7b4751c <_PyEval_EvalFrameDefault+9100>, 0x7ffff7b46f1e <_PyEval_EvalFrameDefault+7566>, 0x7ffff7b46c56 <_PyEval_EvalFrameDefault+6854>, 0x7ffff7b48127 <_PyEval_EvalFrameDefault+12183>, 0x7ffff7b477cb <_PyEval_EvalFrameDefault+9787>, 0x7ffff7b49579 <_PyEval_EvalFrameDefault+17385>, 0x7ffff7b469aa <_PyEval_EvalFrameDefault+6170>, 0x7ffff7b485bf <_PyEval_EvalFrameDefault+13359>, 0x7ffff7b492ab <_PyEval_EvalFrameDefault+16667>, 0x7ffff7b48e3b <_PyEval_EvalFrameDefault+15531>, 0x7ffff7b46e9a 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0x7ffff7b45cd9 <_PyEval_EvalFrameDefault+2889>, 0x7ffff7b45658 <_PyEval_EvalFrameDefault+1224>, 0x7ffff7b45c59 <_PyEval_EvalFrameDefault+2761>, 0x7ffff7b45583 <_PyEval_EvalFrameDefault+1011>, 0x7ffff7b45e0a <_PyEval_EvalFrameDefault+3194>, 0x7ffff7b464c1 <_PyEval_EvalFrameDefault+4913>, 0x7ffff7b48b39 <_PyEval_EvalFrameDefault+14761>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b475bd <_PyEval_EvalFrameDefault+9261>, 0x7ffff7b462f8 <_PyEval_EvalFrameDefault+4456>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b45314 <_PyEval_EvalFrameDefault+388>, 0x7ffff7b453dd <_PyEval_EvalFrameDefault+589>, 0x7ffff7b49191 <_PyEval_EvalFrameDefault+16385>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b4776f <_PyEval_EvalFrameDefault+9695>, 0x7ffff7b491fe <_PyEval_EvalFrameDefault+16494>, 0x7ffff7b4544b <_PyEval_EvalFrameDefault+699>, 0x7ffff7b46fbf <_PyEval_EvalFrameDefault+7727>, 0x7ffff7b46cf9 <_PyEval_EvalFrameDefault+7017>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b4718a <_PyEval_EvalFrameDefault+8186>, 0x7ffff7b45761 <_PyEval_EvalFrameDefault+1489>, 0x7ffff7b47c5d <_PyEval_EvalFrameDefault+10957>, 0x7ffff7b49697 <_PyEval_EvalFrameDefault+17671>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b4657f <_PyEval_EvalFrameDefault+5103>, 0x7ffff7b47e64 <_PyEval_EvalFrameDefault+11476>, 0x7ffff7b47adc <_PyEval_EvalFrameDefault+10572>, 0x7ffff7b462d6 <_PyEval_EvalFrameDefault+4422>, 0x7ffff7b45f28 <_PyEval_EvalFrameDefault+3480>, 0x7ffff7b46e16 <_PyEval_EvalFrameDefault+7302>, 0x7ffff7b47cca <_PyEval_EvalFrameDefault+11066>, 0x7ffff7b489fe <_PyEval_EvalFrameDefault+14446>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b49438 <_PyEval_EvalFrameDefault+17064>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7a69356 <_PyEval_EvalFrameDefault-900666>, 0x7ffff7b47dc8 <_PyEval_EvalFrameDefault+11320>, 0x7ffff7b49034 <_PyEval_EvalFrameDefault+16036>, 0x7ffff7b498d7 <_PyEval_EvalFrameDefault+18247>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127>, 0x7ffff7b457ce <_PyEval_EvalFrameDefault+1598>, 0x7ffff7b45871 <_PyEval_EvalFrameDefault+1761>, 0x7ffff7b48975 <_PyEval_EvalFrameDefault+14309>, 0x7ffff7b48abc <_PyEval_EvalFrameDefault+14636>, 0x7ffff7b476ec <_PyEval_EvalFrameDefault+9564>, 0x7ffff7b48fb5 <_PyEval_EvalFrameDefault+15909>, 0x7ffff7a68da1 <_PyEval_EvalFrameDefault-902127> <repeats 90 times>}
        PyId_displayhook = {string = 0x7ffff7c7f379 "displayhook", index = -1}
        PyId_send = {string = 0x7ffff7c8ad94 "send", index = -1}
        PyId___build_class__ = {string = 0x7ffff7c8a014 "__build_class__", index = 18}
        PyId___annotations__ = {string = 0x7ffff7c7fca8 "__annotations__", index = 124}
        PyId___aenter__ = {string = 0x7ffff7c8a009 "__aenter__", index = -1}
        PyId___aexit__ = {string = 0x7ffff7c89fff "__aexit__", index = -1}
        PyId___enter__ = {string = 0x7ffff7c87136 "__enter__", index = 40}
        PyId___exit__ = {string = 0x7ffff7c87140 "__exit__", index = 41}
#41 0x00007ffff7b44120 in _PyEval_EvalFrame (throwflag=0, f=0x7ffff7745a40, tstate=0x55555555e460) at ./Include/internal/pycore_ceval.h:46
        f = 0x7ffff7745a40
        retval = <optimized out>
#42 _PyEval_Vector (tstate=tstate@entry=0x55555555e460, con=con@entry=0x7fffffffe0c0, locals=locals@entry=0x7ffff7341bc0, args=args@entry=0x0, argcount=argcount@entry=0, kwnames=kwnames@entry=0x0) at Python/ceval.c:5065
        f = 0x7ffff7745a40
        retval = <optimized out>
#43 0x00007ffff7bf1b94 in PyEval_EvalCode (co=0x7ffff733f470, globals=0x7ffff7341bc0, locals=0x7ffff7341bc0) at Python/ceval.c:1134
        tstate = 0x55555555e460
        builtins = <optimized out>
        desc = {fc_globals = 0x7ffff7341bc0, fc_builtins = 0x7ffff77b2fc0, fc_name = 0x7ffff734c730, fc_qualname = 0x7ffff734c730, fc_code = 0x7ffff733f470, fc_defaults = 0x0, fc_kwdefaults = 0x0, fc_closure = 0x0}
#44 0x00007ffff7c02323 in run_eval_code_obj (tstate=tstate@entry=0x55555555e460, co=co@entry=0x7ffff733f470, globals=globals@entry=0x7ffff7341bc0, locals=locals@entry=0x7ffff7341bc0) at Python/pythonrun.c:1291
        v = <optimized out>
#45 0x00007ffff7bfda8a in run_mod (mod=mod@entry=0x5555556417b8, filename=filename@entry=0x7ffff732f9b0, globals=globals@entry=0x7ffff7341bc0, locals=locals@entry=0x7ffff7341bc0, flags=flags@entry=0x7fffffffe2a8, arena=arena@entry=0x7ffff771fb90) at Python/pythonrun.c:1312
        tstate = 0x55555555e460
        co = 0x7ffff733f470
        v = <optimized out>
#46 0x00007ffff7aa1979 in pyrun_file (fp=fp@entry=0x55555555a470, filename=filename@entry=0x7ffff732f9b0, start=start@entry=257, globals=globals@entry=0x7ffff7341bc0, locals=locals@entry=0x7ffff7341bc0, closeit=closeit@entry=1, flags=0x7fffffffe2a8) at Python/pythonrun.c:1208
        arena = 0x7ffff771fb90
        mod = 0x5555556417b8
        ret = <optimized out>
#47 0x00007ffff7aa162a in _PyRun_SimpleFileObject (fp=0x55555555a470, filename=0x7ffff732f9b0, closeit=1, flags=0x7fffffffe2a8) at Python/pythonrun.c:456
        m = 0x7ffff732f920
        d = 0x7ffff7341bc0
        v = <optimized out>
        set_file_name = <optimized out>
        ret = -1
        pyc = <optimized out>
#48 0x00007ffff7aa1fdd in _PyRun_AnyFileObject (fp=0x55555555a470, filename=0x7ffff732f9b0, closeit=1, flags=0x7fffffffe2a8) at Python/pythonrun.c:90
        decref_filename = 0
        res = <optimized out>
#49 0x00007ffff7c0eb0d in pymain_run_file_obj (skip_source_first_line=0, filename=0x7ffff732f9b0, program_name=0x7ffff7341e70) at Modules/main.c:353
        fp = <optimized out>
        sb = {st_dev = 65025, st_ino = 38045094, st_nlink = 1, st_mode = 33261, st_uid = 1000, st_gid = 1000, __pad0 = 0, st_rdev = 0, st_size = 1179, st_blksize = 4096, st_blocks = 8, st_atim = {tv_sec = 1678052352, tv_nsec = 808859799}, st_mtim = {tv_sec = 1677919820, tv_nsec = 20401350}, st_ctim = {tv_sec = 1677919820, tv_nsec = 20401350}, __glibc_reserved = {0, 0, 0}}
        cf = {cf_flags = 0, cf_feature_version = 10}
        run = <optimized out>
        filename = 0x7ffff732f9b0
        program_name = 0x7ffff7341e70
        res = <optimized out>
        interp = 0x5555555851f0
        config = 0x5555555855a0
        main_importer_path = <optimized out>
        exitcode = 0
#50 pymain_run_file (config=0x5555555855a0) at Modules/main.c:372
        filename = 0x7ffff732f9b0
        program_name = 0x7ffff7341e70
        res = <optimized out>
        interp = 0x5555555851f0
        config = 0x5555555855a0
        main_importer_path = <optimized out>
        exitcode = 0
#51 pymain_run_python (exitcode=0x7fffffffe2a4) at Modules/main.c:587
        interp = 0x5555555851f0
        config = 0x5555555855a0
        main_importer_path = <optimized out>
        exitcode = 0
#52 Py_RunMain () at Modules/main.c:666
        exitcode = 0
#53 0x00007ffff7be336b in Py_BytesMain (argc=<optimized out>, argv=<optimized out>) at Modules/main.c:720
        args = {argc = 2, use_bytes_argv = 1, bytes_argv = 0x7fffffffe4d8, wchar_argv = 0x0}
#54 0x00007ffff783c790 in __libc_start_call_main (main=main@entry=0x555555555120 <main>, argc=argc@entry=2, argv=argv@entry=0x7fffffffe4d8) at ../sysdeps/nptl/libc_start_call_main.h:58
        self = <optimized out>
        result = <optimized out>
        unwind_buf = {cancel_jmp_buf = {{jmp_buf = {140737488348376, 4500072682925225301, 0, 140737488348400, 93824992247280, 140737354125312, -4500072683868359339, -4500055605851032235}, mask_was_saved = 0}}, priv = {pad = {0x0, 0x0, 0x7fffffffe4d8, 0x2}, data = {prev = 0x0, cleanup = 0x0, canceltype = -6952}}}
        not_first_call = <optimized out>
#55 0x00007ffff783c84a in __libc_start_main_impl (main=0x555555555120 <main>, argc=2, argv=0x7fffffffe4d8, init=<optimized out>, fini=<optimized out>, rtld_fini=<optimized out>, stack_end=0x7fffffffe4c8) at ../csu/libc-start.c:360
#56 0x0000555555555045 in _start () at ../sysdeps/x86_64/start.S:115