Remove now-extraneous 'nosync' specs now that loopy got smarter
-
Reset kernel version branch
Edited by Andreas Klöckner
Merge request reports
Activity
mentioned in merge request !72 (merged)
cc @mattwala
enabled an automatic merge when the pipeline for 6524e96e succeeds
Huh. So the weird
SIGABRT
started happening on Linux, too.Example: https://gitlab.tiker.net/inducer/sumpy/-/jobs/44331
Run with
--capture=no
gives this:Fatal Python error: Cannot recover from stack overflow. Current thread 0x00007f3fc15a3700 (most recent call first): File "/var/lib/gitlab-runner/builds/569f1b25/4/inducer/sumpy/.miniconda3/envs/testing/lib/python3.5/site-packages/loopy/schedule/__init__.py", line 935 in generate_loop_schedules_internal File "/var/lib/gitlab-runner/builds/569f1b25/4/inducer/sumpy/.miniconda3/envs/testing/lib/python3.5/site-packages/loopy/schedule/__init__.py", line 935 in generate_loop_schedules_internal File "/var/lib/gitlab-runner/builds/569f1b25/4/inducer/sumpy/.miniconda3/envs/testing/lib/python3.5/site-packages/loopy/schedule/__init__.py", line 935 in generate_loop_schedules_internal File "/var/lib/gitlab-runner/builds/569f1b25/4/inducer/sumpy/.miniconda3/envs/testing/lib/python3.5/site-packages/loopy/schedule/__init__.py", line 935 in generate_loop_schedules_internal File "/var/lib/gitlab-runner/builds/569f1b25/4/inducer/sumpy/.miniconda3/envs/testing/lib/python3.5/site-packages/loopy/schedule/__init__.py", line 935 in generate_loop_schedules_internal File "/var/lib/gitlab-runner/builds/569f1b25/4/inducer/sumpy/.miniconda3/envs/testing/lib/python3.5/site-packages/loopy/schedule/__init__.py", line 935 in generate_loop_schedules_internal File "/var/lib/gitlab-runner/builds/569f1b25/4/inducer/sumpy/.miniconda3/envs/testing/lib/python3.5/site-packages/loopy/schedule/__init__.py", line 935 in generate_loop_schedules_internal File "/var/lib/gitlab-runner/builds/569f1b25/4/inducer/sumpy/.miniconda3/envs/testing/lib/python3.5/site-packages/loopy/schedule/__init__.py", line 935 in generate_loop_schedules_internal File "/var/lib/gitlab-runner/builds/569f1b25/4/inducer/sumpy/.miniconda3/envs/testing/lib/python3.5/site-packages/loopy/schedule/__init__.py", line 935 in generate_loop_schedules_internal File "/var/lib/gitlab-runner/builds/569f1b25/4/inducer/sumpy/.miniconda3/envs/testing/lib/python3.5/site-packages/loopy/schedule/__init__.py", line 935 in generate_loop_schedules_internal File "/var/lib/gitlab-runner/builds/569f1b25/4/inducer/sumpy/.miniconda3/envs/testing/lib/python3.5/site-packages/loopy/schedule/__init__.py", line 935 in generate_loop_schedules_internal ...
- I'm not sure why it's intermittent.
- I'm not sure what we're doing differently now that would trigger this.
- It seems that in addition to Python's recursion limit, there's also a hard stack-based limit that causes a crash.
- Found some discussion from sympy though that looks to have been resolved (and may have been something different entirely).
/* the macro Py_EnterRecursiveCall() only calls _Py_CheckRecursiveCall() if the recursion_depth reaches _Py_CheckRecursionLimit. If USE_STACKCHECK, the macro decrements _Py_CheckRecursionLimit to guarantee that _Py_CheckRecursiveCall() is regularly called. Without USE_STACKCHECK, there is no need for this. */ int _Py_CheckRecursiveCall(const char *where) { PyThreadState *tstate = PyThreadState_GET(); #ifdef USE_STACKCHECK if (PyOS_CheckStack()) { --tstate->recursion_depth; PyErr_SetString(PyExc_MemoryError, "Stack overflow"); return -1; } #endif _Py_CheckRecursionLimit = recursion_limit; if (tstate->recursion_critical) /* Somebody asked that we don't check for recursion. */ return 0; if (tstate->overflowed) { if (tstate->recursion_depth > recursion_limit + 50) { /* Overflowing while handling an overflow. Give up. */ Py_FatalError("Cannot recover from stack overflow."); } return 0; } if (tstate->recursion_depth > recursion_limit) { --tstate->recursion_depth; tstate->overflowed = 1; PyErr_Format(PyExc_RecursionError, "maximum recursion depth exceeded%s", where); return -1; } return 0; }
More informative C stack trace:
#0 __GI_raise (sig=sig@entry=6) at ../sysdeps/unix/sysv/linux/raise.c:51 #1 0x00007fec2229119a in __GI_abort () at abort.c:89 #2 0x0000000000426c06 in Py_FatalError (msg=msg@entry=0x68db00 "Cannot recover from stack overflow.") at ../Python/pylifecycle.c:1462 #3 0x0000000000550a0d in _Py_CheckRecursiveCall (where=where@entry=0x660f48 " while calling a Python object") at ../Python/ceval.c:686 #4 0x000000000045a17a in _PyObject_FastCallDict (func=func@entry=<type at remote 0x9d2c80>, args=args@entry=0x7fff32b13560, nargs=nargs@entry=1, kwargs=kwargs@entry=0x0) at ../Objects/abstract.c:2305 #5 0x0000000000569fa3 in _PyErr_CreateException (value=<optimized out>, exception=<type at remote 0x9d2c80>) at ../Python/errors.c:65 #6 PyErr_SetObject (value=<optimized out>, exception=<optimized out>) at ../Python/errors.c:97 #7 PyErr_SetNone (exception=<optimized out>) at ../Python/errors.c:149 #8 PyErr_NoMemory () at ../Python/errors.c:478 #9 0x0000000000569e69 in PyErr_FormatV (vargs=0x7fff32b135a0, format=0x66a968 "'%.50s' object has no attribute '%U'", exception=<type at remote 0x9d2c80>) at ../Python/errors.c:845 #10 PyErr_Format (exception=<type at remote 0x9d2c80>, format=format@entry=0x66a968 "'%.50s' object has no attribute '%U'") at ../Python/errors.c:860 #11 0x00000000004c961e in _PyObject_GenericGetAttrWithDict (dict=<optimized out>, name='closed', name@entry=<EncodedFile(buffer=<_io.FileIO at remote 0x7fec1fce6318>, encoding='UTF8') at remote 0x7fec1fcdb0b8>, obj=<EncodedFile(buffer=<_io.FileIO at remote 0x7fec1fce6318>, encoding='UTF8') at remote 0x7fec1fcdb0b8>, obj@entry=0x0) at ../Objects/object.c:1114 #12 PyObject_GenericGetAttr (obj=obj@entry=<EncodedFile(buffer=<_io.FileIO at remote 0x7fec1fce6318>, encoding='UTF8') at remote 0x7fec1fcdb0b8>, name=name@entry='closed') at ../Objects/object.c:1126 #13 0x00000000004e3a89 in slot_tp_getattr_hook (self=<EncodedFile(buffer=<_io.FileIO at remote 0x7fec1fce6318>, encoding='UTF8') at remote 0x7fec1fcdb0b8>, name='closed') at ../Objects/typeobject.c:6264 #14 0x00000000004c86bd in PyObject_GetAttr (name='closed', v=<EncodedFile(buffer=<_io.FileIO at remote 0x7fec1fce6318>, encoding='UTF8') at remote 0x7fec1fcdb0b8>) at ../Objects/object.c:896 #15 PyObject_GetAttrString (v=<EncodedFile(buffer=<_io.FileIO at remote 0x7fec1fce6318>, encoding='UTF8') at remote 0x7fec1fcdb0b8>, name=<optimized out>) at ../Objects/object.c:796 #16 0x000000000042676f in file_is_closed (fobj=<EncodedFile(buffer=<_io.FileIO at remote 0x7fec1fce6318>, encoding='UTF8') at remote 0x7fec1fcdb0b8>) at ../Python/pylifecycle.c:490 #17 flush_std_files () at ../Python/pylifecycle.c:510 #18 0x0000000000426c83 in Py_FatalError (msg=msg@entry=0x68db00 "Cannot recover from stack overflow.") at ../Python/pylifecycle.c:1441 #19 0x0000000000550a0d in _Py_CheckRecursiveCall (where=where@entry=0x660f48 " while calling a Python object") at ../Python/ceval.c:686 #20 0x000000000045a17a in _PyObject_FastCallDict (func=func@entry=<type at remote 0x9d5b40>, args=args@entry=0x0, nargs=nargs@entry=0, kwargs=kwargs@entry=0x0) at ../Objects/abstract.c:2305 #21 0x000000000056a9e2 in _PyErr_CreateException (value=0x0, exception=<type at remote 0x9d5b40>) at ../Python/errors.c:59 #22 PyErr_SetObject (value=0x0, exception=<type at remote 0x9d5b40>) at ../Python/errors.c:97 #23 PyErr_SetNone (exception=<type at remote 0x9d5b40>) at ../Python/errors.c:149 #24 0x000000000047fffc in gen_close (gen=0x7fcbf5c28308, args=<optimized out>) at ../Objects/genobject.c:389 #25 0x00000000004803da in _PyGen_Finalize (self=<generator at remote 0x7fcbf5c28308>) at ../Objects/genobject.c:74 #26 0x00000000004c752b in PyObject_CallFinalizer (self=<generator at remote 0x7fcbf5c28308>) at ../Objects/object.c:297 #27 PyObject_CallFinalizerFromDealloc (self=self@entry=<generator at remote 0x7fcbf5c28308>) at ../Objects/object.c:314 #28 0x000000000047e42c in gen_dealloc (gen=0x7fcbf5c28308) at ../Objects/genobject.c:101 #29 0x0000000000551463 in _PyEval_EvalFrameDefault (f=<optimized out>, throwflag=<optimized out>) at ../Python/ceval.c:3584 #30 0x000000000047ff68 in gen_send_ex (closing=1, exc=<optimized out>, arg=<optimized out>, gen=0x7fcbf5c28eb8) at ../Objects/genobject.c:189 #31 gen_close (gen=0x7fcbf5c28eb8, args=<optimized out>) at ../Objects/genobject.c:390 #32 0x00000000004803da in _PyGen_Finalize (self=<generator at remote 0x7fcbf5c28eb8>) at ../Objects/genobject.c:74 #33 0x00000000004c752b in PyObject_CallFinalizer (self=<generator at remote 0x7fcbf5c28eb8>) at ../Objects/object.c:297 #34 PyObject_CallFinalizerFromDealloc (self=self@entry=<generator at remote 0x7fcbf5c28eb8>) at ../Objects/object.c:314 #35 0x000000000047e42c in gen_dealloc (gen=0x7fcbf5c28eb8) at ../Objects/genobject.c:101 #36 0x0000000000551463 in _PyEval_EvalFrameDefault (f=<optimized out>, throwflag=<optimized out>) at ../Python/ceval.c:3584 #37 0x000000000047ff68 in gen_send_ex (closing=1, exc=<optimized out>, arg=<optimized out>, gen=0x7fcbf5c282b0) at ../Objects/genobject.c:189 #38 gen_close (gen=0x7fcbf5c282b0, args=<optimized out>) at ../Objects/genobject.c:390 #39 0x00000000004803da in _PyGen_Finalize (self=<generator at remote 0x7fcbf5c282b0>) at ../Objects/genobject.c:74 #40 0x00000000004c752b in PyObject_CallFinalizer (self=<generator at remote 0x7fcbf5c282b0>) at ../Objects/object.c:297 #41 PyObject_CallFinalizerFromDealloc (self=self@entry=<generator at remote 0x7fcbf5c282b0>) at ../Objects/object.c:314 #42 0x000000000047e42c in gen_dealloc (gen=0x7fcbf5c282b0) at ../Objects/genobject.c:101 #43 0x0000000000551463 in _PyEval_EvalFrameDefault (f=<optimized out>, throwflag=<optimized out>) at ../Python/ceval.c:3584
So there are a few thousand frames of that, and then
#6418 PyObject_CallFinalizerFromDealloc (self=self@entry=<generator at remote 0x7fcbf574db48>) at ../Objects/object.c:314 #6419 0x000000000047e42c in gen_dealloc (gen=0x7fcbf574db48) at ../Objects/genobject.c:101 #6420 0x0000000000551463 in _PyEval_EvalFrameDefault (f=<optimized out>, throwflag=<optimized out>) at ../Python/ceval.c:3584 #6421 0x000000000047ff68 in gen_send_ex (closing=1, exc=<optimized out>, arg=<optimized out>, gen=0x7fcbf574dfc0) at ../Objects/genobject.c:189 #6422 gen_close (gen=0x7fcbf574dfc0, args=<optimized out>) at ../Objects/genobject.c:390 #6423 0x00000000004803da in _PyGen_Finalize (self=<generator at remote 0x7fcbf574dfc0>) at ../Objects/genobject.c:74 #6424 0x00000000004c752b in PyObject_CallFinalizer (self=<generator at remote 0x7fcbf574dfc0>) at ../Objects/object.c:297 #6425 PyObject_CallFinalizerFromDealloc (self=self@entry=<generator at remote 0x7fcbf574dfc0>) at ../Objects/object.c:314 #6426 0x000000000047e42c in gen_dealloc (gen=0x7fcbf574dfc0) at ../Objects/genobject.c:101 #6427 0x0000000000551463 in _PyEval_EvalFrameDefault (f=<optimized out>, throwflag=<optimized out>) at ../Python/ceval.c:3584 #6428 0x000000000047ff68 in gen_send_ex (closing=1, exc=<optimized out>, arg=<optimized out>, gen=0x7fcbf574dd58) at ../Objects/genobject.c:189 #6429 gen_close (gen=0x7fcbf574dd58, args=<optimized out>) at ../Objects/genobject.c:390 #6430 0x00000000004803da in _PyGen_Finalize (self=<generator at remote 0x7fcbf574dd58>) at ../Objects/genobject.c:74 #6431 0x00000000004c752b in PyObject_CallFinalizer (self=<generator at remote 0x7fcbf574dd58>) at ../Objects/object.c:297 #6432 PyObject_CallFinalizerFromDealloc (self=self@entry=<generator at remote 0x7fcbf574dd58>) at ../Objects/object.c:314 #6433 0x000000000047e42c in gen_dealloc (gen=0x7fcbf574dd58) at ../Objects/genobject.c:101 #6434 0x0000000000551463 in _PyEval_EvalFrameDefault (f=<optimized out>, throwflag=<optimized out>) at ../Python/ceval.c:3584 #6435 0x000000000047ff68 in gen_send_ex (closing=1, exc=<optimized out>, arg=<optimized out>, gen=0x7fcbf57030a0) at ../Objects/genobject.c:189 #6436 gen_close (gen=0x7fcbf57030a0, args=<optimized out>) at ../Objects/genobject.c:390 #6437 0x00000000004803da in _PyGen_Finalize (self=<generator at remote 0x7fcbf57030a0>) at ../Objects/genobject.c:74 #6438 0x0000000000442df0 in finalize_garbage (collectable=0x7fff32b82810) at ../Modules/gcmodule.c:809 #6439 collect (generation=generation@entry=2, n_collected=n_collected@entry=0x7fff32b828d8, n_uncollectable=n_uncollectable@entry=0x7fff32b828e0, nofail=nofail@entry=0) at ../Modules/gcmodule.c:1008 #6440 0x000000000044441a in collect_with_callback (generation=2) at ../Modules/gcmodule.c:1128 #6441 collect_generations () at ../Modules/gcmodule.c:1151 #6442 _PyObject_GC_Alloc (basicsize=<optimized out>, use_calloc=0) at ../Modules/gcmodule.c:1726 #6443 _PyObject_GC_Malloc (basicsize=<optimized out>) at ../Modules/gcmodule.c:1736 #6444 _PyObject_GC_NewVar (tp=tp@entry=0x9e3040 <PyTuple_Type>, nitems=nitems@entry=1) at ../Modules/gcmodule.c:1765 #6445 0x00000000004d68ad in PyTuple_New (size=size@entry=1) at ../Objects/tupleobject.c:114 #6446 0x00000000004e001a in reduce_newobj (obj=obj@entry=<Variable(name='expr_1834', hash_value=-2228923348531945301) at remote 0x7fcbf53bbf28>) at ../Objects/typeobject.c:4250 #6447 0x00000000004e072e in _common_reduce (proto=4, self=<Variable(name='expr_1834', hash_value=-2228923348531945301) at remote 0x7fcbf53bbf28>) at ../Objects/typeobject.c:4335 #6448 object_reduce_ex (self=<Variable(name='expr_1834', hash_value=-2228923348531945301) at remote 0x7fcbf53bbf28>, args=<optimized out>) at ../Objects/typeobject.c:4400 #6449 0x00000000004c4e4b in _PyCFunction_FastCallDict (func_obj=func_obj@entry=<built-in method __reduce_ex__ of Variable object at remote 0x7fcbf53bbf28>, args=args@entry=0x7fff32b82a98, nargs=nargs@entry=1, kwargs=kwargs@entry=0x0) at ../Objects/methodobject.c:234 #6450 0x000000000045a1e1 in _PyObject_FastCallDict (func=<built-in method __reduce_ex__ of Variable object at remote 0x7fcbf53bbf28>, args=args@entry=0x7fff32b82a98, nargs=nargs@entry=1, kwargs=kwargs@entry=0x0) at ../Objects/abstract.c:2313 #6451 0x00000000005a8ebb in _Pickle_FastCall (func=<optimized out>, obj=<optimized out>) at ../Modules/_pickle.c:349 #6452 0x00000000005b085c in save (self=self@entry=0x7fe8a4061b88, obj=<Variable(name='expr_1834', hash_value=-2228923348531945301) at remote 0x7fcbf53bbf28>, pers_save=pers_save@entry=0) at ../Modules/_pickle.c:3990 #6453 0x00000000005b0946 in store_tuple_elements (len=<optimized out>, t=<optimized out>, self=<optimized out>) at ../Modules/_pickle.c:2360 #6454 save_tuple (obj=(<numpy.float64 at remote 0x7fde5c0e4888>, <Variable(name='expr_1834', hash_value=-2228923348531945301) at remote 0x7fcbf53bbf28>), self=0x7fe8a4061b88) at ../Modules/_pickle.c:2411 #6455 save (self=self@entry=0x7fe8a4061b88, obj=(<numpy.float64 at remote 0x7fde5c0e4888>, <Variable(name='expr_1834', hash_value=-2228923348531945301) at remote 0x7fcbf53bbf28>), pers_save=pers_save@entry=0) at ../Modules/_pickle.c:3921 #6456 0x00000000005b0946 in store_tuple_elements (len=<optimized out>, t=<optimized out>, self=<optimized out>) at ../Modules/_pickle.c:2360 #6457 save_tuple (obj=((<numpy.float64 at remote 0x7fde5c0e4888>, <Variable(name='expr_1834', hash_value=-2228923348531945301) at remote 0x7fcbf53bbf28>),), self=0x7fe8a4061b88) at ../Modules/_pickle.c:2411 #6458 save (self=self@entry=0x7fe8a4061b88, obj=((<numpy.float64 at remote 0x7fde5c0e4888>, <Variable(name='expr_1834', hash_value=-2228923348531945301) at remote 0x7fcbf53bbf28>),), pers_save=pers_save@entry=0) at ../Modules/_pickle.c:3921 #6459 0x00000000005b2537 in save_reduce (self=self@entry=0x7fe8a4061b88, args=args@entry=(<function at remote 0x7fec220031e0>, (<type at remote 0x1e84968>,), ((<numpy.float64 at remote 0x7fde5c0e4888>, <Variable(name='expr_1834', hash_value=-2228923348531945301) at remote 0x7fcbf53bbf28>),), None, None), obj=obj@entry=<Product(children=(<numpy.float64 at remote 0x7fde5c0e4888>, <Variable(name='expr_1834', hash_value=-2228923348531945301) at remote 0x7fcbf53bbf28>), hash_value=-8388064068769906100) at remote 0x7fcbf52f27f0>) at ../Modules/_pickle.c:3827 #6460 0x00000000005b0516 in save (self=self@entry=0x7fe8a4061b88, ---Type <return> to continue, or q <return> to quit--- obj=<Product(children=(<numpy.float64 at remote 0x7fde5c0e4888>, <Variable(name='expr_1834', hash_value=-2228923348531945301) at remote 0x7fcbf53bbf28>), hash_value=-8388064068769906100) at remote 0x7fcbf52f27f0>, pers_save=pers_save@entry=0) at ../Modules/_pickle.c:4031 #6461 0x00000000005b05f0 in store_tuple_elements (len=<optimized out>, t=<optimized out>, self=<optimized out>) at ../Modules/_pickle.c:2360 #6462 save_tuple ( obj=(<Product(children=(-121645100408832000, <Variable(name='expr_231', hash_value=7029616991540739657) at remote 0x7fcbf50ff358>), hash_value=-7400725364496041712) at remote 0x7fcbf52f24e0>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e47c8>, <Variable(name='expr_1829', hash_value=1348439514963580625) at remote 0x7fcbf53bbd68>), hash_value=-7334194039609706133) at remote 0x7fcbf52f2588>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e4d08>, <Variable(name='expr_1830', hash_value=-5322659217122364627) at remote 0x7fcbf53bbdd8>), hash_value=-629639435305597840) at remote 0x7fcbf52f2630>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e42d0>, <Variable(name='expr_1831', hash_value=-4178123599674749985) at remote 0x7fcbf53bbe48>), hash_value=4831616140040348894) at remote 0x7fcbf52f2240>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e46c0>, <Variable(name='expr_1833', hash_value=-840482050216540515) at remote 0x7fcbf53bbeb8>), hash_value=8455460904441463416) at remote 0x7fcbf52f23c8>, <...(truncated), self=0x7fe8a4061b88) at ../Modules/_pickle.c:2438 #6463 save (self=self@entry=0x7fe8a4061b88, obj=(<Product(children=(-121645100408832000, <Variable(name='expr_231', hash_value=7029616991540739657) at remote 0x7fcbf50ff358>), hash_value=-7400725364496041712) at remote 0x7fcbf52f24e0>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e47c8>, <Variable(name='expr_1829', hash_value=1348439514963580625) at remote 0x7fcbf53bbd68>), hash_value=-7334194039609706133) at remote 0x7fcbf52f2588>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e4d08>, <Variable(name='expr_1830', hash_value=-5322659217122364627) at remote 0x7fcbf53bbdd8>), hash_value=-629639435305597840) at remote 0x7fcbf52f2630>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e42d0>, <Variable(name='expr_1831', hash_value=-4178123599674749985) at remote 0x7fcbf53bbe48>), hash_value=4831616140040348894) at remote 0x7fcbf52f2240>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e46c0>, <Variable(name='expr_1833', hash_value=-840482050216540515) at remote 0x7fcbf53bbeb8>), hash_value=8455460904441463416) at remote 0x7fcbf52f23c8>, <...(truncated), pers_save=pers_save@entry=0) at ../Modules/_pickle.c:3921 #6464 0x00000000005b0946 in store_tuple_elements (len=<optimized out>, t=<optimized out>, self=<optimized out>) at ../Modules/_pickle.c:2360 #6465 save_tuple ( obj=((<Product(children=(-121645100408832000, <Variable(name='expr_231', hash_value=7029616991540739657) at remote 0x7fcbf50ff358>), hash_value=-7400725364496041712) at remote 0x7fcbf52f24e0>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e47c8>, <Variable(name='expr_1829', hash_value=1348439514963580625) at remote 0x7fcbf53bbd68>), hash_value=-7334194039609706133) at remote 0x7fcbf52f2588>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e4d08>, <Variable(name='expr_1830', hash_value=-5322659217122364627) at remote 0x7fcbf53bbdd8>), hash_value=-629639435305597840) at remote 0x7fcbf52f2630>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e42d0>, <Variable(name='expr_1831', hash_value=-4178123599674749985) at remote 0x7fcbf53bbe48>), hash_value=4831616140040348894) at remote 0x7fcbf52f2240>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e46c0>, <Variable(name='expr_1833', hash_value=-840482050216540515) at remote 0x7fcbf53bbeb8>), hash_value=8455460904441463416) at remote 0x7fcbf52f23c8>, ...(truncated), self=0x7fe8a4061b88) at ../Modules/_pickle.c:2411 #6466 save (self=self@entry=0x7fe8a4061b88, obj=((<Product(children=(-121645100408832000, <Variable(name='expr_231', hash_value=7029616991540739657) at remote 0x7fcbf50ff358>), hash_value=-7400725364496041712) at remote 0x7fcbf52f24e0>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e47c8>, <Variable(name='expr_1829', hash_value=1348439514963580625) at remote 0x7fcbf53bbd68>), hash_value=-7334194039609706133) at remote 0x7fcbf52f2588>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e4d08>, <Variable(name='expr_1830', hash_value=-5322659217122364627) at remote 0x7fcbf53bbdd8>), hash_value=-629639435305597840) at remote 0x7fcbf52f2630>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e42d0>, <Variable(name='expr_1831', hash_value=-4178123599674749985) at remote 0x7fcbf53bbe48>), hash_value=4831616140040348894) at remote 0x7fcbf52f2240>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e46c0>, <Variable(name='expr_1833', hash_value=-840482050216540515) at remote 0x7fcbf53bbeb8>), hash_value=8455460904441463416) at remote 0x7fcbf52f23c8>, ...(truncated), pers_save=pers_save@entry=0) at ../Modules/_pickle.c:3921 #6467 0x00000000005b2537 in save_reduce (self=self@entry=0x7fe8a4061b88, args=args@entry=(<function at remote 0x7fec220031e0>, (<type at remote 0x1e845b8>,), ((<Product(children=(-121645100408832000, <Variable(name='expr_231', hash_value=7029616991540739657) at remote 0x7fcbf50ff358>), hash_value=-7400725364496041712) at remote 0x7fcbf52f24e0>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e47c8>, <Variable(name='expr_1829', hash_value=1348439514963580625) at remote 0x7fcbf53bbd68>), hash_value=-7334194039609706133) at remote 0x7fcbf52f2588>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e4d08>, <Variable(name='expr_1830', hash_value=-5322659217122364627) at remote 0x7fcbf53bbdd8>), hash_value=-629639435305597840) at remote 0x7fcbf52f2630>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e42d0>, <Variable(name='expr_1831', hash_value=-4178123599674749985) at remote 0x7fcbf53bbe48>), hash_value=4831616140040348894) at remote 0x7fcbf52f2240>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e46c0>, <Variable(name='expr_1833', hash_value=-840482050216540515) at remote 0x7fcbf5...(truncated), obj=obj@entry=<Sum(children=(<Product(children=(-121645100408832000, <Variable(name='expr_231', hash_value=7029616991540739657) at remote 0x7fcbf50ff358>), hash_value=-7400725364496041712) at remote 0x7fcbf52f24e0>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e47c8>, <Variable(name='expr_1829', hash_value=1348439514963580625) at remote 0x7fcbf53bbd68>), hash_value=-7334194039609706133) at remote 0x7fcbf52f2588>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e4d08>, <Variable(name='expr_1830', hash_value=-5322659217122364627) at remote 0x7fcbf53bbdd8>), hash_value=-629639435305597840) at remote 0x7fcbf52f2630>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e42d0>, <Variable(name='expr_1831', hash_value=-4178123599674749985) at remote 0x7fcbf53bbe48>), hash_value=4831616140040348894) at remote 0x7fcbf52f2240>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e46c0>, <Variable(name='expr_1833', hash_value=-840482050216540515) at remote 0x7fcbf53bbeb8>), hash_value=8455460904441463416) at remote 0x7f...(truncated)) at ../Modules/_pickle.c:3827 #6468 0x00000000005b0516 in save (self=self@entry=0x7fe8a4061b88, obj=<Sum(children=(<Product(children=(-121645100408832000, <Variable(name='expr_231', hash_value=7029616991540739657) at remote 0x7fcbf50ff358>), hash_value=-7400725364496041712) at remote 0x7fcbf52f24e0>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e47c8>, <Variable(name='expr_1829', hash_value=1348439514963580625) at remote 0x7fcbf53bbd68>), hash_value=-7334194039609706133) at remote 0x7fcbf52f2588>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e4d08>, <Variable(name='expr_1830', hash_value=-5322659217122364627) at remote 0x7fcbf53bbdd8>), hash_value=-629639435305597840) at remote 0x7fcbf52f2630>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e42d0>, <Variable(name='expr_1831', hash_value=-4178123599674749985) at remote 0x7fcbf53bbe48>), hash_value=4831616140040348894) at remote 0x7fcbf52f2240>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e46c0>, <Variable(name='expr_1833', hash_value=-840482050216540515) at remote 0x7fcbf53bbeb8>), hash_value=8455460904441463416) at remote 0x7f...(truncated), pers_save=pers_save@entry=0) at ../Modules/_pickle.c:4031 #6469 0x00000000005b0946 in store_tuple_elements (len=<optimized out>, t=<optimized out>, self=<optimized out>) at ../Modules/_pickle.c:2360 #6470 save_tuple ( obj=(<Variable(name='expr_1839', hash_value=8661087764752086566) at remote 0x7fcbf53bbc18>, <Sum(children=(<Product(children=(-121645100408832000, <Variable(name='expr_231', hash_value=7029616991540739657) at remote 0x7fcbf50ff358>), hash_value=-7400725364496041712) at remote 0x7fcbf52f24e0>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e47c8>, <Variable(name='expr_1829', hash_value=1348439514963580625) at remote 0x7fcbf53bbd68>), hash_value=-7334194039609706133) at remote 0x7fcbf52f2588>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e4d08>, <Variable(name='expr_1830', hash_value=-5322659217122364627) at remote 0x7fcbf53bbdd8>), hash_value=-629639435305597840) at remote 0x7fcbf52f2630>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e42d0>, <Variable(name='expr_1831', hash_value=-4178123599674749985) at remote 0x7fcbf53bbe48>), hash_value=4831616140040348894) at remote 0x7fcbf52f2240>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e46c0>, <Variable(name='expr_1833', hash_value=-840482...(truncated), self=0x7fe8a4061b88) at ../Modules/_pickle.c:2411 #6471 save (self=self@entry=0x7fe8a4061b88, obj=(<Variable(name='expr_1839', hash_value=8661087764752086566) at remote 0x7fcbf53bbc18>, <Sum(children=(<Product(children=(-121645100408832000, <Variable(name='expr_231', hash_value=7029616991540739657) at remote 0x7fcbf50ff358>), hash_value=-7400725364496041712) at remote 0x7fcbf52f24e0>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e47c8>, <Variable(name='expr_1829', hash_value=1348439514963580625) at remote 0x7fcbf53bbd68>), hash_value=-7334194039609706133) at remote 0x7fcbf52f2588>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e4d08>, <Variable(name='expr_1830', hash_value=-5322659217122364627) at remote 0x7fcbf53bbdd8>), hash_value=-629639435305597840) at remote 0x7fcbf52f2630>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e42d0>, <Variable(name='expr_1831', hash_value=-4178123599674749985) at remote 0x7fcbf53bbe48>), hash_value=4831616140040348894) at remote 0x7fcbf52f2240>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e46c0>, <Variable(name='expr_1833', hash_value=-840482...(truncated), pers_save=pers_save@entry=0) at ../Modules/_pickle.c:3921 #6472 0x00000000005b0946 in store_tuple_elements (len=<optimized out>, t=<optimized out>, self=<optimized out>) at ../Modules/_pickle.c:2360 #6473 save_tuple ( obj=((<Variable(name='expr_1839', hash_value=8661087764752086566) at remote 0x7fcbf53bbc18>, <Sum(children=(<Product(children=(-121645100408832000, <Variable(name='expr_231', hash_value=7029616991540739657) at remote 0x7fcbf50ff358>), hash_value=-7400725364496041712) at remote 0x7fcbf52f24e0>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e47c8>, <Variable(name='expr_1829', hash_value=1348439514963580625) at remote 0x7fcbf53bbd68>), hash_value=-7334194039609706133) at remote 0x7fcbf52f2588>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e4d08>, <Variable(name='expr_1830', hash_value=-5322659217122364627) at remote 0x7fcbf53bbdd8>), hash_value=-629639435305597840) at remote 0x7fcbf52f2630>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e42d0>, <Variable(name='expr_1831', hash_value=-4178123599674749985) at remote 0x7fcbf53bbe48>), hash_value=4831616140040348894) at remote 0x7fcbf52f2240>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e46c0>, <Variable(name='expr_1833', hash_value=-84048...(truncated), self=0x7fe8a4061b88) at ../Modules/_pickle.c:2411 #6474 save (self=self@entry=0x7fe8a4061b88, obj=((<Variable(name='expr_1839', hash_value=8661087764752086566) at remote 0x7fcbf53bbc18>, <Sum(children=(<Product(children=(-121645100408832000, <Variable(name='expr_231', hash_value=7029616991540739657) at remote 0x7fcbf50ff358>), hash_value=-7400725364496041712) at remote 0x7fcbf52f24e0>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e47c8>, <Variable(name='expr_1829', hash_value=1348439514963580625) at remote 0x7fcbf53bbd68>), hash_value=-7334194039609706133) at remote 0x7fcbf52f2588>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e4d08>, <Variable(name='expr_1830', hash_value=-5322659217122364627) at remote 0x7fcbf53bbdd8>), hash_value=-629639435305597840) at remote 0x7fcbf52f2630>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e42d0>, <Variable(name='expr_1831', hash_value=-4178123599674749985) at remote 0x7fcbf53bbe48>), hash_value=4831616140040348894) at remote 0x7fcbf52f2240>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e46c0>, <Variable(name='expr_1833', hash_value=-84048...(truncated), pers_save=pers_save@entry=0) at ../Modules/_pickle.c:3921 #6475 0x00000000005b2537 in save_reduce (self=self@entry=0x7fe8a4061b88, args=args@entry=(<function at remote 0x7fec220031e0>, (<type at remote 0x1e84968>,), ((<Variable(name='expr_1839', hash_value=8661087764752086566) at remote 0x7fcbf53bbc18>, <Sum(children=(<Product(children=(-121645100408832000, <Variable(name='expr_231', hash_value=7029616991540739657) at remote 0x7fcbf50ff358>), hash_value=-7400725364496041712) at remote 0x7fcbf52f24e0>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e47c8>, <Variable(name='expr_1829', hash_value=1348439514963580625) at remote 0x7fcbf53bbd68>), hash_value=-7334194039609706133) at remote 0x7fcbf52f2588>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e4d08>, <Variable(name='expr_1830', hash_value=-5322659217122364627) at remote 0x7fcbf53bbdd8>), hash_value=-629639435305597840) at remote 0x7fcbf52f2630>, <Product(children=(<numpy.float64 at remote 0x7fde5c0e42d0>, <Variable(name='expr_1831', hash_value=-4178123599674749985) at remote 0x7fcbf53bbe48>), hash_value=4831616140040348894) at remote 0x7fcbf52f2240>, <Product(children=(<numpy.float64 at ...(truncated),
Hypothesis: If we hit the garbage collector in the middle of pickling, we die. (that would explain why it's intermittent)
More questions:
- Why is it recursively GC'ing thousands of generators?
Edited by Andreas Klöcknermentioned in issue #31
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