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Crash with latest master #4662
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We should probably revert the "fix cpu/gpu copy" commit. |
Could you try changing capture by reference to capture by value in NDArray::SyncCopyToCPU and see if error persists |
Hey, I meet the same problem.
I crosscompile mxnet with openblas and opencv using arm-hisiv400-linux-g++ and create libmxnet.so successfully.
and compile with
test is created successfully without any error. But when I run it on embedded target, this error occurs.
But when I comment "mxnet::NDArray test = mxnet::NDArray(size, ctx)"; , it runs well. Besides, if I use g++ on my computer(ubuntu14.04-x64), this test runs well also. So I wonder if there is some setting I ignore when using cross compiling mxnet. Much thanks. |
mark |
Error:
pure virtual method called
terminate called without an active exception
the crash stack:
#0 0x00007ffff6d26c37 in __GI_raise (sig=sig@entry=6) at ../nptl/sysdeps/unix/sysv/linux/raise.c:56
#1 0x00007ffff6d2a028 in __GI_abort () at abort.c:89
#2 0x00007fffd206cb05 in __gnu_cxx::__verbose_terminate_handler() () from /home/howardsu/anaconda2/bin/../lib/libstdc++.so.6
#3 0x00007fffd206aca6 in ?? () from /home/howardsu/anaconda2/bin/../lib/libstdc++.so.6
#4 0x00007fffd206acd3 in std::terminate() () from /home/howardsu/anaconda2/bin/../lib/libstdc++.so.6
#5 0x00007fffd206b78f in __cxa_pure_virtual () from /home/howardsu/anaconda2/bin/../lib/libstdc++.so.6
#6 0x00007fffe8382cc0 in mxnet::Engine::PushSync(std::function<void (mxnet::RunContext)>, mxnet::Context, std::vector<mxnet::engine::Var*, std::allocatormxnet::engine::Var* > const&, std::vector<mxnet::engine::Var*, std::allocatormxnet::engine::Var* > const&, mxnet::FnProperty, int, char const*) (this=0x6c4550, exec_fn=..., exec_ctx=...,
exec_ctx@entry=..., const_vars=..., mutable_vars=..., prop=prop@entry=mxnet::kNormal, priority=priority@entry=0, opr_name=opr_name@entry=0x7fffe927dfbe "SyncCopyCPU2CPU")
at include/mxnet/engine.h:213
#7 0x00007fffe8421a82 in mxnet::NDArray::SyncCopyFromCPU (this=0x7fffa40026c0, data=, size=) at src/ndarray/ndarray.cc:698
#8 0x00007fffe832d6fe in MXNDArraySyncCopyFromCPU (handle=, data=, size=) at src/c_api/c_api.cc:181
#9 0x00007ffff661831c in ffi_call_unix64 () at /home/ilan/minonda/conda-bld/work/Python-2.7.12/Modules/_ctypes/libffi/src/x86/unix64.S:76
#10 0x00007ffff6617a75 in ffi_call (cif=, fn=0x7fffe832d6f0 <MXNDArraySyncCopyFromCPU(NDArrayHandle, void const*, size_t)>, rvalue=,
avalue=0x7fffb3527160) at /home/ilan/minonda/conda-bld/work/Python-2.7.12/Modules/_ctypes/libffi/src/x86/ffi64.c:525
#11 0x00007ffff660f126 in _call_function_pointer (argcount=3, resmem=0x7fffb3527190, restype=, atypes=, avalues=0x7fffb3527160,
pProc=0x7fffe832d6f0 <MXNDArraySyncCopyFromCPU(NDArrayHandle, void const*, size_t)>, flags=4353)
at /home/ilan/minonda/conda-bld/work/Python-2.7.12/Modules/_ctypes/callproc.c:837
#0 0x00007ffff6d26c37 in __GI_raise (sig=sig@entry=6) at ../nptl/sysdeps/unix/sysv/linux/raise.c:56
#1 0x00007ffff6d2a028 in __GI_abort () at abort.c:89
#2 0x00007fffd206cb05 in __gnu_cxx::__verbose_terminate_handler() () from /home/howardsu/anaconda2/bin/../lib/libstdc++.so.6
#3 0x00007fffd206aca6 in ?? () from /home/howardsu/anaconda2/bin/../lib/libstdc++.so.6
#4 0x00007fffd206acd3 in std::terminate() () from /home/howardsu/anaconda2/bin/../lib/libstdc++.so.6
#5 0x00007fffd206b78f in __cxa_pure_virtual () from /home/howardsu/anaconda2/bin/../lib/libstdc++.so.6
#6 0x00007fffe8382cc0 in mxnet::Engine::PushSync(std::function<void (mxnet::RunContext)>, mxnet::Context, std::vector<mxnet::engine::Var*, std::allocatormxnet::engine::Var* > const&, std::vector<mxnet::engine::Var*, std::allocatormxnet::engine::Var* > const&, mxnet::FnProperty, int, char const*) (this=0x6c4550, exec_fn=..., exec_ctx=...,
exec_ctx@entry=..., const_vars=..., mutable_vars=..., prop=prop@entry=mxnet::kNormal, priority=priority@entry=0, opr_name=opr_name@entry=0x7fffe927dfbe "SyncCopyCPU2CPU")
at include/mxnet/engine.h:213
#7 0x00007fffe8421a82 in mxnet::NDArray::SyncCopyFromCPU (this=0x7fffa40026c0, data=, size=) at src/ndarray/ndarray.cc:698
#8 0x00007fffe832d6fe in MXNDArraySyncCopyFromCPU (handle=, data=, size=) at src/c_api/c_api.cc:181
#9 0x00007ffff661831c in ffi_call_unix64 () at /home/ilan/minonda/conda-bld/work/Python-2.7.12/Modules/_ctypes/libffi/src/x86/unix64.S:76
#10 0x00007ffff6617a75 in ffi_call (cif=, fn=0x7fffe832d6f0 <MXNDArraySyncCopyFromCPU(NDArrayHandle, void const*, size_t)>, rvalue=,
avalue=0x7fffb3527160) at /home/ilan/minonda/conda-bld/work/Python-2.7.12/Modules/_ctypes/libffi/src/x86/ffi64.c:525
#11 0x00007ffff660f126 in _call_function_pointer (argcount=3, resmem=0x7fffb3527190, restype=, atypes=, avalues=0x7fffb3527160,
pProc=0x7fffe832d6f0 <MXNDArraySyncCopyFromCPU(NDArrayHandle, void const*, size_t)>, flags=4353)
at /home/ilan/minonda/conda-bld/work/Python-2.7.12/Modules/_ctypes/callproc.c:837
#10 0x00007ffff6617a75 in ffi_call (cif=, fn=0x7fffe832d6f0 <MXNDArraySyncCopyFromCPU(NDArrayHandle, void const*, size_t)>, rvalue=,
avalue=0x7fffb3527160) at /home/ilan/minonda/conda-bld/work/Python-2.7.12/Modules/_ctypes/libffi/src/x86/ffi64.c:525
#11 0x00007ffff660f126 in _call_function_pointer (argcount=3, resmem=0x7fffb3527190, restype=, atypes=, avalues=0x7fffb3527160,
pProc=0x7fffe832d6f0 <MXNDArraySyncCopyFromCPU(NDArrayHandle, void const*, size_t)>, flags=4353)
at /home/ilan/minonda/conda-bld/work/Python-2.7.12/Modules/_ctypes/callproc.c:837
#12 _ctypes_callproc (pProc=0x7fffe832d6f0 <MXNDArraySyncCopyFromCPU(NDArrayHandle, void const*, size_t)>, argtuple=0x7fffb3527280, flags=4353, argtypes=,
restype=0x6d6430, checker=0x0) at /home/ilan/minonda/conda-bld/work/Python-2.7.12/Modules/_ctypes/callproc.c:1180
#13 0x00007ffff6606ce3 in PyCFuncPtr_call (self=, inargs=, kwds=0x0) at /home/ilan/minonda/conda-bld/work/Python-2.7.12/Modules/_ctypes/_ctypes.c:3954
#14 0x00007ffff7a29dc3 in PyObject_Call (func=0x7fffb3e86120, arg=, kw=) at Objects/abstract.c:2546
#15 0x00007ffff7adb6c7 in do_call (nk=, na=, pp_stack=0x7fffb3527508, func=0x7fffb3e86120) at Python/ceval.c:4567
#16 call_function (oparg=, pp_stack=0x7fffb3527508) at Python/ceval.c:4372
#17 PyEval_EvalFrameEx (f=, throwflag=) at Python/ceval.c:2987
#18 0x00007ffff7ade1ce in PyEval_EvalCodeEx (co=0x7fffee0de730, globals=, locals=, args=, argcount=2, kws=0x7fffa80a8580, kwcount=0,
defs=0x0, defcount=0, closure=0x0) at Python/ceval.c:3582
#19 0x00007ffff7add1f6 in fast_function (nk=, na=2, n=, pp_stack=0x7fffb3527728, func=0x7fffee0ece60) at Python/ceval.c:4445
#20 call_function (oparg=, pp_stack=0x7fffb3527728) at Python/ceval.c:4370
#21 PyEval_EvalFrameEx (f=, throwflag=) at Python/ceval.c:2987
#22 0x00007ffff7ade1ce in PyEval_EvalCodeEx (co=0x7fffee0de630, globals=, locals=, args=, argcount=3, kws=0x0, kwcount=0, defs=0x0,
defcount=0, closure=0x0) at Python/ceval.c:3582
#23 0x00007ffff7a597e1 in function_call (func=0x7fffee0ecd70, arg=0x7ffff7fc9cd0, kw=0x0) at Objects/funcobject.c:523
#24 0x00007ffff7a29dc3 in PyObject_Call (func=0x7fffee0ecd70, arg=, kw=) at Objects/abstract.c:2546
#25 0x00007ffff7a3c54f in instancemethod_call (func=0x7fffee0ecd70, arg=0x7ffff7fc9cd0, kw=0x0) at Objects/classobject.c:2602
#26 0x00007ffff7a29dc3 in PyObject_Call (func=0x7ffff7ea8dc0, arg=, kw=) at Objects/abstract.c:2546
#27 0x00007ffff7a938c5 in call_method (o=, name=, nameobj=0x7ffff7dbb168 <setitem_str>, format=0x7ffff7b31288 "(OO)") at Objects/typeobject.c:1281
#28 0x00007ffff7a93c2b in slot_mp_ass_subscript (self=, key=, value=) at Objects/typeobject.c:5192
#29 0x00007ffff7ad44e5 in assign_slice (u=0x7ffff7eb4090, v=, w=, x=0x7ffff7ea8e40) at Python/ceval.c:4763
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