leezu commented on issue #18314:
URL:
https://github.com/apache/incubator-mxnet/issues/18314#issuecomment-628407634
To get the backtrace in gdb, use the example without the for loop in the end
```
import gc
gc.set_debug(gc.DEBUG_SAVEALL)
import mxnet as mx
net = mx.gluon.nn.Dense(10, in_units=10)
net.initialize()
del net
print(gc.collect())
print(gc.garbage)
```
```
#0 __GI___pthread_mutex_lock (mutex=0x2a) at ../nptl/pthread_mutex_lock.c:65
#1 0x00007fff40d76349 in __gthread_mutex_lock (__mutex=0x2a) at
/usr/include/x86_64-linux-gnu/c++/7/bits/gthr-default.h:748
#2 0x00007fff40d9defe in std::mutex::lock (this=0x2a) at
/usr/include/c++/7/bits/std_mutex.h:103
#3 0x00007fff40db701e in std::lock_guard<std::mutex>::lock_guard
(this=0x7fffffff99b0, __m=...) at /usr/include/c++/7/bits/std_mutex.h:162
#4 0x00007fff40fa3f65 in mxnet::engine::ThreadedVar::ready_to_read
(this=0xa) at ../src/engine/threaded_engine.cc:198
#5 0x00007fff40fa1109 in mxnet::engine::ThreadedEngine::WaitForVar
(this=0x55555752d8f0, var=0xa) at ../src/engine/threaded_engine.cc:382
#6 0x00007fff412a6c03 in mxnet::NDArray::WaitToRead (this=0x555556b508b0)
at ../src/ndarray/ndarray.cc:2178
#7 0x00007fff412a5eef in mxnet::NDArray::SyncCopyToCPU
(this=0x555556b508b0, data=0x555556b465e0, size=100) at
../src/ndarray/ndarray.cc:2112
#8 0x00007fff40d8bd27 in MXNDArraySyncCopyToCPU (handle=0x555556b508b0,
data=0x555556b465e0, size=100) at ../src/c_api/c_api.cc:1575
#9 0x00007ffff6965dae in ffi_call_unix64 () from
/usr/lib/x86_64-linux-gnu/libffi.so.6
#10 0x00007ffff696571f in ffi_call () from
/usr/lib/x86_64-linux-gnu/libffi.so.6
#11 0x00007ffff6ba7415 in _call_function_pointer (flags=4353,
pProc=0x7fff40d8bcef <MXNDArraySyncCopyToCPU(NDArrayHandle, void*, size_t)>,
avalues=0x7fffffffa0c0, atypes=0x7fffffffa090,
restype=0x7ffff6e27908, resmem=0x7fffffffa0f0, argcount=3) at
/tmp/python-build.20200514035455.63369/Python-3.8.2/Modules/_ctypes/callproc.c:871
#12 0x00007ffff6ba7e19 in _ctypes_callproc (pProc=0x7fff40d8bcef
<MXNDArraySyncCopyToCPU(NDArrayHandle, void*, size_t)>,
argtuple=(<c_void_p at remote 0x7fff9631ec30>,
<c_void_p(_arr=<numpy.ndarray at remote 0x7fff96371820>) at remote
0x7fff96309190>, <c_ulong at remote 0x7fff9631e410>), flags=4353, argtypes=0x0,
restype=<_ctypes.PyCSimpleType at remote 0x555555c491b0>, checker=0x0)
at
/tmp/python-build.20200514035455.63369/Python-3.8.2/Modules/_ctypes/callproc.c:1199
#13 0x00007ffff6ba2169 in PyCFuncPtr_call (self=0x7fff96363130,
inargs=(<c_void_p at remote 0x7fff9631ec30>,
<c_void_p(_arr=<numpy.ndarray at remote 0x7fff96371820>) at remote
0x7fff96309190>, <c_ulong at remote 0x7fff9631e410>), kwds=0x0)
at
/tmp/python-build.20200514035455.63369/Python-3.8.2/Modules/_ctypes/_ctypes.c:4201
#14 0x00005555555c5076 in _PyObject_MakeTpCall
(callable=<_FuncPtr(__name__='MXNDArraySyncCopyToCPU') at remote
0x7fff96363130>, args=0x7fff9632ed80, nargs=3, keywords=0x0) at
Objects/call.c:159
#15 0x00005555556acdb1 in _PyObject_Vectorcall
(callable=<_FuncPtr(__name__='MXNDArraySyncCopyToCPU') at remote
0x7fff96363130>, args=0x7fff9632ed80, nargsf=9223372036854775811, kwnames=0x0)
at ./Include/cpython/abstract.h:125
#16 0x00005555556c4ab4 in call_function (tstate=0x555555bb4670,
pp_stack=0x7fffffffa5f8, oparg=3, kwnames=0x0) at Python/ceval.c:4987
#17 0x00005555556bec66 in _PyEval_EvalFrameDefault (
f=Frame 0x7fff9632ebf0, for file
/home/ubuntu/src/mxnet-master/python/mxnet/ndarray/ndarray.py, line 2819, in
asnumpy (self=<NDArray at remote 0x7fff9631b5a0>, data=<numpy.ndarray at remote
0x7fff96371820>), throwflag=0) at Python/ceval.c:3469
#18 0x00005555556aeb45 in PyEval_EvalFrameEx (
f=Frame 0x7fff9632ebf0, for file
/home/ubuntu/src/mxnet-master/python/mxnet/ndarray/ndarray.py, line 2819, in
asnumpy (self=<NDArray at remote 0x7fff9631b5a0>, data=<numpy.ndarray at remote
0x7fff96371820>), throwflag=0) at Python/ceval.c:741
#19 0x00005555555c5758 in function_code_fastcall (co=0x7fffebbb9860,
args=0x7fff8f456e98, nargs=1,
globals={'__name__': 'mxnet.ndarray.ndarray', '__doc__': 'NDArray API of
MXNet.', '__package__': 'mxnet.ndarray', '__loader__':
<SourceFileLoader(name='mxnet.ndarray.ndarray',
path='/home/ubuntu/src/mxnet-master/python/mxnet/ndarray/ndarray.py') at remote
0x7fffebb8a1e0>, '__spec__': <ModuleSpec(name='mxnet.ndarray.ndarray',
loader=<...>,
origin='/home/ubuntu/src/mxnet-master/python/mxnet/ndarray/ndarray.py',
loader_state=None, submodule_search_locations=None, _set_fileattr=True,
_cached='/home/ubuntu/src/mxnet-master/python/mxnet/ndarray/__pycache__/ndarray.cpython-38.pyc',
_initializing=False) at remote 0x7fffebb8a230>, '__file__':
'/home/ubuntu/src/mxnet-master/python/mxnet/ndarray/ndarray.py', '__cached__':
'/home/ubuntu/src/mxnet-master/python/mxnet/ndarray/__pycache__/ndarray.cpython-38.pyc',
'__builtins__': {'__name__': 'builtins', '__doc__': "Built-in functions,
exceptions, and other objects.\n\nNoteworthy: None is the `nil' object;
Ellipsis represents `...' in slices.", '__package__': '', '__loader__':
<type...(truncated)) at Objects/call.c:283
#20 0x00005555555c5fc8 in _PyFunction_Vectorcall (func=<function at remote
0x7fffe6bd1870>, stack=0x7fff8f456e90, nargsf=9223372036854775809, kwnames=0x0)
at Objects/call.c:410
#21 0x00005555556acdc9 in _PyObject_Vectorcall (callable=<function at remote
0x7fffe6bd1870>, args=0x7fff8f456e90, nargsf=9223372036854775809, kwnames=0x0)
at ./Include/cpython/abstract.h:127
#22 0x00005555556c4ab4 in call_function (tstate=0x555555bb4670,
pp_stack=0x7fffffffb838, oparg=1, kwnames=0x0) at Python/ceval.c:4987
#23 0x00005555556bece0 in _PyEval_EvalFrameDefault (
f=Frame 0x7fff8f456d00, for file
/home/ubuntu/src/mxnet-master/python/mxnet/ndarray/ndarray.py, line 257, in
__repr__ (self=<NDArray at remote 0x7fff9631b5a0>, shape_info='10x10'),
throwflag=0)
at Python/ceval.c:3486
#24 0x00005555556aeb45 in PyEval_EvalFrameEx (
f=Frame 0x7fff8f456d00, for file
/home/ubuntu/src/mxnet-master/python/mxnet/ndarray/ndarray.py, line 257, in
__repr__ (self=<NDArray at remote 0x7fff9631b5a0>, shape_info='10x10'),
throwflag=0)
at Python/ceval.c:741
#25 0x00005555555c5758 in function_code_fastcall (co=0x7fffebb901e0,
args=0x7fffffffc888, nargs=1,
globals={'__name__': 'mxnet.ndarray.ndarray', '__doc__': 'NDArray API of
MXNet.', '__package__': 'mxnet.ndarray', '__loader__':
<SourceFileLoader(name='mxnet.ndarray.ndarray',
path='/home/ubuntu/src/mxnet-master/python/mxnet/ndarray/ndarray.py') at remote
0x7fffebb8a1e0>, '__spec__': <ModuleSpec(name='mxnet.ndarray.ndarray',
loader=<...>,
origin='/home/ubuntu/src/mxnet-master/python/mxnet/ndarray/ndarray.py',
loader_state=None, submodule_search_locations=None, _set_fileattr=True,
_cached='/home/ubuntu/src/mxnet-master/python/mxnet/ndarray/__pycache__/ndarray.cpython-38.pyc',
_initializing=False) at remote 0x7fffebb8a230>, '__file__':
'/home/ubuntu/src/mxnet-master/python/mxnet/ndarray/ndarray.py', '__cached__':
'/home/ubuntu/src/mxnet-master/python/mxnet/ndarray/__pycache__/ndarray.cpython-38.pyc',
'__builtins__': {'__name__': 'builtins', '__doc__': "Built-in functions,
exceptions, and other objects.\n\nNoteworthy: None is the `nil' object;
Ellipsis represents `...' in slices.", '__package__': '', '__loader__':
<type...(truncated)) at Objects/call.c:283
```
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