ASAN: fix use-after-free - #101064
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ASAN: fix use-after-free#101064AlekseiNikiforovIBM wants to merge 1 commit into
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/101064
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 9b0e102: This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Couldn't the explicit copying just be done for this variable by making it take the SymIntArray by value instead of by reference? That would make an explicit copy and allow it take to ownership if it's an rvalue? Or is the issue that there is no implicit conversion to convert the reference to a value? See comments below, we have a method to do this explicit copy for us.
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Is there a class like SymIntArray? No, issue is not in conversion, issue is in ownership.
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| auto org_size = self.sym_sizes(); | |
| std::vector<c10::SymInt> org_size_copy{org_size.begin(), org_size.end()}; | |
| std::vector<c10::SymInt> size_copy{size.begin(), size.end()}; | |
| auto orig_size_copy = self.sym_sizes().vec(); | |
| auto size_copy = size.vec(); |
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Thanks, somehow I've missed this function. Will use it.
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| auto org_size = self.sym_sizes(); | |
| auto template_size = the_template.sym_sizes(); | |
| std::vector<c10::SymInt> org_size_copy{org_size.begin(), org_size.end()}; | |
| std::vector<c10::SymInt> template_size_copy{ | |
| template_size.begin(), template_size.end()}; | |
| auto org_size_copy = self.sym_sizes().vec(); | |
| auto template_size_copy = the_template.sym_sizes().vec(); |
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Use the .vec() helper method instead for cleaner, more concise copies.
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Good catch!
Using .vec() should make the fix simpler indeed!
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Thanks!
Note that github actions are really sad right now. But once github status stabilizes, we should get green CI and we can merge!
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Can add a test covering this case? |
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I have found it while running: Sorry for not mentioning it. Does it need a separate test? |
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Should we enable ASAN and UBSAN for a larger range of tests? |
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I'm sure the answer for "should we" is yes. But can we do it? I'm not sure, that might be a good thing to open an issue to discuss this in more details with the Infra team! |
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A simple option is to run tests on a separate ASAN build. However, that may be time consuming. More discussions are encouraged. |
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@pytorchbot merge -r |
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@pytorchbot successfully started a rebase job. Check the current status here |
When tensor is resized, reference array to it's sizes may become invalid. Make a copy in advance.
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Successfully rebased |
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Merge failedReason: This PR needs a label If not, please add the To add a label, you can comment to pytorchbot, for example For more information, see Details for Dev Infra teamRaised by workflow job |
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@pytorchbot merge |
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Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
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When tensor is resized, reference array to it's sizes may become invalid. Make a copy in advance.
<details>
<summary>ASAN report</summary>
```
=================================================================
==1115867==ERROR: AddressSanitizer: heap-use-after-free on address 0x61000013d790 at pc 0x03ff8e7da360 bp 0x03fff53c83a0 sp 0x03fff53c8390
READ of size 8 at 0x61000013d790 thread T0
#0 0x3ff8e7da35f in c10::SymInt::is_heap_allocated() const /home/user/pytorch/c10/core/SymInt.h:154
pytorch#1 0x3ff8e7da35f in c10::SymInt::maybe_as_int() const /home/user/pytorch/c10/core/SymInt.h:215
pytorch#2 0x3ff8e7d0a6d in c10::SymInt::sym_eq(c10::SymInt const&) const /home/user/pytorch/c10/core/SymInt.cpp:69
pytorch#3 0x3ff7a9ab0bd in c10::SymInt::operator==(c10::SymInt const&) const /home/user/pytorch/c10/core/SymInt.h:177
pytorch#4 0x3ff7a9aaedd in bool std::__equal<false>::equal<c10::SymInt const*, c10::SymInt const*>(c10::SymInt const*, c10::SymInt const*, c10::SymInt const*) /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-
v11/bits/stl_algobase.h:1162
pytorch#5 0x3ff7a9aae4b in bool std::__equal_aux1<c10::SymInt const*, c10::SymInt const*>(c10::SymInt const*, c10::SymInt const*, c10::SymInt const*) /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/
stl_algobase.h:1211
pytorch#6 0x3ff7a9aae05 in bool std::__equal_aux<c10::SymInt const*, c10::SymInt const*>(c10::SymInt const*, c10::SymInt const*, c10::SymInt const*) /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/s
tl_algobase.h:1219
pytorch#7 0x3ff7a9aad97 in bool std::equal<c10::SymInt const*, c10::SymInt const*>(c10::SymInt const*, c10::SymInt const*, c10::SymInt const*) /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_alg
obase.h:1556
pytorch#8 0x3ff4b23c771 in c10::ArrayRef<c10::SymInt>::equals(c10::ArrayRef<c10::SymInt>) const /home/user/pytorch/c10/util/ArrayRef.h:188
pytorch#9 0x3ff4cb91bc1 in bool c10::operator!=<c10::SymInt>(c10::ArrayRef<c10::SymInt>, c10::ArrayRef<c10::SymInt>) /home/user/pytorch/c10/util/ArrayRef.h:341
pytorch#10 0x3ff6d1b57ff in torch::ADInplaceOrView::resize_(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pytorch/torch/csrc/autograd/Variab
leTypeManual.cpp:408
pytorch#11 0x3ff6d1e59c7 in c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c1
0::MemoryFormat>), &torch::ADInplaceOrView::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>
> >::operator()(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pytorch/aten/src/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h:13
pytorch#12 0x3ff6d1e59c7 in c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10:
:ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>), &torch::ADInplaceOrView::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::Sy
mInt>, c10::optional<c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::call(c10::OperatorKernel*, c10::Disp
atchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pytorch/aten/src/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h:480
pytorch#13 0x3ff51ca5129 in at::Tensor const& c10::callUnboxedKernelFunction<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(void*, c10::OperatorKernel*,
c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>&&, c10::optional<c10::MemoryFormat>&&) /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:50
pytorch#14 0x3ff51ca6e8f in at::Tensor const& c10::KernelFunction::call<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::OperatorHandle const&, c10::D
ispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:90
pytorch#15 0x3ff51ca6e8f in at::Tensor const& c10::Dispatcher::redispatch<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::TypedOperatorHandle<at::Ten
sor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)> const&, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)
const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:656
pytorch#16 0x3ff5182006b in c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::redispatch(c10::DispatchKeySet, at::Tensor const&, c
10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:492
pytorch#17 0x3ff5182006b in at::_ops::resize_::redispatch(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) aten/src/ATen/Operators_4.cpp:2144
pytorch#18 0x3ff6d1d5e07 in at::redispatch::resize__symint(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) aten/src/ATen/RedispatchFunctions.h:2847
pytorch#19 0x3ff6d1bbb67 in torch::autograd::VariableType::(anonymous namespace)::resize_(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pyto
rch/torch/csrc/autograd/VariableTypeManual.cpp:243
pytorch#20 0x3ff6d1bd197 in c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c1
0::MemoryFormat>), &torch::autograd::VariableType::(anonymous namespace)::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10
::optional<c10::MemoryFormat> > >::operator()(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pytorch/aten/src/ATen/core/boxing/impl/WrapFu
nctionIntoFunctor.h:13
pytorch#21 0x3ff6d1bd197 in c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10:
:ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>), &torch::autograd::VariableType::(anonymous namespace)::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor
const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::call(c
10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) /home/user/pytorch/aten/src/ATen/core/boxing/impl/make_boxed_from_unboxed_functor
.h:480
pytorch#22 0x3ff51ca5129 in at::Tensor const& c10::callUnboxedKernelFunction<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(void*, c10::OperatorKernel*,
c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>&&, c10::optional<c10::MemoryFormat>&&) /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:50
pytorch#23 0x3ff5181ead1 in at::Tensor const& c10::KernelFunction::call<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::OperatorHandle const&, c10::D
ispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:90
pytorch#24 0x3ff5181ead1 in at::Tensor const& c10::Dispatcher::call<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::TypedOperatorHandle<at::Tensor co
nst& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)> const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/user/pytorch/at
en/src/ATen/core/dispatch/Dispatcher.h:639
pytorch#25 0x3ff5181ead1 in c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::call(at::Tensor const&, c10::ArrayRef<c10::SymInt>,
c10::optional<c10::MemoryFormat>) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:487
pytorch#26 0x3ff5181ead1 in at::_ops::resize_::call(at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) aten/src/ATen/Operators_4.cpp:2137
pytorch#27 0x3ff79b44fcf in at::Tensor::resize__symint(c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const aten/src/ATen/core/TensorBody.h:2452
pytorch#28 0x3ff79a802db in torch::autograd::THPVariable_resize_(_object*, _object*, _object*)::$_0::operator()(at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const /home/us
er/pytorch/torch/csrc/autograd/generated/python_variable_methods.cpp:13417
pytorch#29 0x3ff7999f1eb in torch::autograd::THPVariable_resize_(_object*, _object*, _object*) /home/user/pytorch/torch/csrc/autograd/generated/python_variable_methods.cpp:13419
pytorch#30 0x3ffa2c9b009 in method_vectorcall_VARARGS_KEYWORDS Objects/descrobject.c:344
pytorch#31 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#32 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
pytorch#33 0x3ffa2e05447 in call_function Python/ceval.c:5891
pytorch#34 0x3ffa2dff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198
pytorch#35 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#36 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#37 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#38 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255
pytorch#39 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290
pytorch#40 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317
pytorch#41 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943
pytorch#42 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277
pytorch#43 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#44 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#45 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#46 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255
pytorch#47 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290
pytorch#48 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317
pytorch#49 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943
pytorch#50 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277
pytorch#51 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#52 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#53 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#54 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#55 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
pytorch#56 0x3ffa2e05447 in call_function Python/ceval.c:5891
pytorch#57 0x3ffa2dff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198
pytorch#58 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#59 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#60 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#61 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#62 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53
pytorch#63 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#64 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
pytorch#65 0x3ffa2e05447 in call_function Python/ceval.c:5891
pytorch#66 0x3ffa2dff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213
pytorch#67 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#68 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#69 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#70 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#71 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
pytorch#72 0x3ffa2e05447 in call_function Python/ceval.c:5891
pytorch#73 0x3ffa2dff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198
pytorch#74 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#75 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#76 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#77 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#78 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53
pytorch#79 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#80 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
pytorch#81 0x3ffa2e05447 in call_function Python/ceval.c:5891
pytorch#82 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231
pytorch#83 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#84 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#85 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#86 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#87 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53
pytorch#88 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#89 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
pytorch#90 0x3ffa2e05447 in call_function Python/ceval.c:5891
pytorch#91 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231
pytorch#92 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#93 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#94 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#95 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#96 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53
pytorch#97 0x3ffa2c8ab9b in PyVectorcall_Call Objects/call.c:267
pytorch#98 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290
pytorch#99 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317
pytorch#100 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943
pytorch#101 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277
pytorch#102 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#103 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#104 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#105 0x3ffa2c8a695 in _PyObject_FastCallDictTstate Objects/call.c:153
pytorch#106 0x3ffa2c8b271 in _PyObject_Call_Prepend Objects/call.c:431
pytorch#107 0x3ffa2d3f307 in slot_tp_call Objects/typeobject.c:7494
pytorch#108 0x3ffa2c8a933 in _PyObject_MakeTpCall Objects/call.c:215
pytorch#109 0x3ffa2df0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112
pytorch#110 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
pytorch#111 0x3ffa2e05447 in call_function Python/ceval.c:5891
pytorch#112 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231
pytorch#113 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#114 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#115 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#116 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#117 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
pytorch#118 0x3ffa2e05447 in call_function Python/ceval.c:5891
pytorch#119 0x3ffa2dff7d7 in _PyEval_EvalFrameDefault Python/ceval.c:4198
pytorch#120 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#121 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#122 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#123 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255
pytorch#124 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290
pytorch#125 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317
pytorch#126 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943
pytorch#127 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277
pytorch#128 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#129 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#130 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#131 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#132 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
pytorch#133 0x3ffa2e05447 in call_function Python/ceval.c:5891
pytorch#134 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181
pytorch#135 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#136 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#137 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#138 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#139 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53
pytorch#140 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#141 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
pytorch#142 0x3ffa2e05447 in call_function Python/ceval.c:5891
pytorch#143 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181
pytorch#144 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#145 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#146 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#147 0x3ffa2c8a695 in _PyObject_FastCallDictTstate Objects/call.c:153
pytorch#148 0x3ffa2c8b271 in _PyObject_Call_Prepend Objects/call.c:431
pytorch#149 0x3ffa2d3f307 in slot_tp_call Objects/typeobject.c:7494
pytorch#150 0x3ffa2c8ad17 in _PyObject_Call Objects/call.c:305
pytorch#151 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317
pytorch#152 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943
pytorch#153 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277
pytorch#154 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#155 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#156 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#157 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#158 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
pytorch#159 0x3ffa2e05447 in call_function Python/ceval.c:5891
pytorch#160 0x3ffa2dff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213
pytorch#161 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#162 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#163 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#164 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#165 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53
pytorch#166 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#167 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
pytorch#168 0x3ffa2e05447 in call_function Python/ceval.c:5891
pytorch#169 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231
pytorch#170 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#171 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#172 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#173 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255
pytorch#174 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290
pytorch#175 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317
pytorch#176 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943
pytorch#177 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277
pytorch#178 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#179 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#180 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#181 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#182 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
pytorch#183 0x3ffa2e05447 in call_function Python/ceval.c:5891
pytorch#184 0x3ffa2dff905 in _PyEval_EvalFrameDefault Python/ceval.c:4213
pytorch#185 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#186 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#187 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#188 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#189 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
pytorch#190 0x3ffa2e05447 in call_function Python/ceval.c:5891
pytorch#191 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231
pytorch#192 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#193 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#194 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#195 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255
pytorch#196 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290
pytorch#197 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317
pytorch#198 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943
pytorch#199 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277
pytorch#200 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#201 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#202 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#203 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#204 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
pytorch#205 0x3ffa2e05447 in call_function Python/ceval.c:5891
pytorch#206 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181
pytorch#207 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#208 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#209 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#210 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#211 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53
pytorch#212 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#213 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
pytorch#214 0x3ffa2e05447 in call_function Python/ceval.c:5891
pytorch#215 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181
pytorch#216 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#217 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#218 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#219 0x3ffa2c8a695 in _PyObject_FastCallDictTstate Objects/call.c:153
pytorch#220 0x3ffa2c8b271 in _PyObject_Call_Prepend Objects/call.c:431
pytorch#221 0x3ffa2d3f307 in slot_tp_call Objects/typeobject.c:7494
pytorch#222 0x3ffa2c8a933 in _PyObject_MakeTpCall Objects/call.c:215
pytorch#223 0x3ffa2df0081 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112
pytorch#224 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
pytorch#225 0x3ffa2e05447 in call_function Python/ceval.c:5891
pytorch#226 0x3ffa2dffa57 in _PyEval_EvalFrameDefault Python/ceval.c:4231
pytorch#227 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#228 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#229 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#230 0x3ffa2c8ab15 in PyVectorcall_Call Objects/call.c:255
pytorch#231 0x3ffa2c8ac65 in _PyObject_Call Objects/call.c:290
pytorch#232 0x3ffa2c8ada9 in PyObject_Call Objects/call.c:317
pytorch#233 0x3ffa2e059c7 in do_call_core Python/ceval.c:5943
pytorch#234 0x3ffa2dffd39 in _PyEval_EvalFrameDefault Python/ceval.c:4277
pytorch#235 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#236 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#237 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#238 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#239 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
pytorch#240 0x3ffa2e05447 in call_function Python/ceval.c:5891
pytorch#241 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181
pytorch#242 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#243 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#244 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#245 0x3ffa2c8e941 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#246 0x3ffa2c8eddd in method_vectorcall Objects/classobject.c:53
pytorch#247 0x3ffa2df00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
pytorch#248 0x3ffa2df013d in PyObject_Vectorcall Include/cpython/abstract.h:123
pytorch#249 0x3ffa2e05447 in call_function Python/ceval.c:5891
pytorch#250 0x3ffa2dff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181
pytorch#251 0x3ffa2df052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
pytorch#252 0x3ffa2e02b67 in _PyEval_Vector Python/ceval.c:5065
pytorch#253 0x3ffa2c8aec1 in _PyFunction_Vectorcall Objects/call.c:342
pytorch#254 0x3ffa2c8a695 in _PyObject_FastCallDictTstate Objects/call.c:153
pytorch#255 0x3ffa2c8b271 in _PyObject_Call_Prepend Objects/call.c:431
pytorch#256 0x3ffa2d3f307 in slot_tp_call Objects/typeobject.c:7494
pytorch#257 0x3ffa2c8a933 in _PyObject_MakeTpCall Objects/call.c:215
0x61000013d790 is located 80 bytes inside of 192-byte region [0x61000013d740,0x61000013d800)
freed by thread T0 here:
#0 0x3ffa3237de5 in operator delete(void*) /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:160
pytorch#1 0x3ff8e7e3221 in c10::TensorImpl::~TensorImpl() /home/user/pytorch/c10/core/TensorImpl.cpp:75
previously allocated by thread T0 here:
#0 0x3ffa323734f in operator new(unsigned long) /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:99
pytorch#1 0x3ff4aeeb3d1 in c10::intrusive_ptr<c10::TensorImpl, c10::detail::intrusive_target_default_null_type<c10::TensorImpl> > c10::intrusive_ptr<c10::TensorImpl, c10::detail::intrusive_target_default_nul
l_type<c10::TensorImpl> >::make<c10::intrusive_ptr<c10::StorageImpl, c10::detail::intrusive_target_default_null_type<c10::StorageImpl> >, c10::DispatchKeySet&, caffe2::TypeMeta&>(c10::intrusive_ptr<c10::S
torageImpl, c10::detail::intrusive_target_default_null_type<c10::StorageImpl> >&&, c10::DispatchKeySet&, caffe2::TypeMeta&) /home/user/pytorch/c10/util/intrusive_ptr.h:498
pytorch#2 0x3ff76f79e17 (/home/user/pytorch/build/lib.linux-s390x-cpython-310/torch/lib/libtorch_cpu.so+0x2fb79e17)
SUMMARY: AddressSanitizer: heap-use-after-free /home/user/pytorch/c10/core/SymInt.h:154 in c10::SymInt::is_heap_allocated() const
Shadow bytes around the buggy address:
0x100c2000027aa0: fa fa fa fa fa fa fa fa fd fd fd fd fd fd fd fd
0x100c2000027ab0: fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd
0x100c2000027ac0: fa fa fa fa fa fa fa fa fd fd fd fd fd fd fd fd
0x100c2000027ad0: fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd
0x100c2000027ae0: fa fa fa fa fa fa fa fa fd fd fd fd fd fd fd fd
=>0x100c2000027af0: fd fd[fd]fd fd fd fd fd fd fd fd fd fd fd fd fd
0x100c2000027b00: fa fa fa fa fa fa fa fa 00 00 00 00 00 00 00 00
0x100c2000027b10: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
0x100c2000027b20: fa fa fa fa fa fa fa fa 00 00 00 00 00 00 00 00
0x100c2000027b30: 00 00 00 00 04 fa fa fa fa fa fa fa fa fa fa fa
0x100c2000027b40: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
Shadow byte legend (one shadow byte represents 8 application bytes):
Addressable: 00
Partially addressable: 01 02 03 04 05 06 07
Heap left redzone: fa
Freed heap region: fd
Stack left redzone: f1
Stack mid redzone: f2
Stack right redzone: f3
Stack after return: f5
Stack use after scope: f8
Global redzone: f9
Global init order: f6
Poisoned by user: f7
Container overflow: fc
Array cookie: ac
Intra object redzone: bb
ASan internal: fe
Left alloca redzone: ca
Right alloca redzone: cb
Shadow gap: cc
==1115867==ABORTING
```
</details>
<details>
<summary>Additional backtraces (not full)</summary>
Memory deallocation:
```
#0 operator delete (ptr=0x61000013d740) at /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:160
pytorch#1 0x000003ffa77e3222 in c10::TensorImpl::~TensorImpl (this=0x61000013d740) at /home/user/pytorch/c10/core/TensorImpl.cpp:75
pytorch#2 0x000003ff63e76e8c in c10::intrusive_ptr<c10::TensorImpl, c10::UndefinedTensorImpl>::reset_ (this=0x3ffd7ec8230) at /home/user/pytorch/c10/util/intrusive_ptr.h:291
pytorch#3 0x000003ff63e76910 in c10::intrusive_ptr<c10::TensorImpl, c10::UndefinedTensorImpl>::~intrusive_ptr (this=0x3ffd7ec8230) at /home/user/pytorch/c10/util/intrusive_ptr.h:370
pytorch#4 0x000003ff63e67240 in at::TensorBase::~TensorBase (this=0x3ffd7ec8230) at /home/user/pytorch/aten/src/ATen/core/TensorBase.h:80
pytorch#5 0x000003ff63e85ee0 in at::Tensor::~Tensor (this=0x3ffd7ec8230) at aten/src/ATen/core/TensorBody.h:90
pytorch#6 0x000003ff63f67304 in resize__functionalization (dispatchKeySet=..., self=..., size=..., memory_format=...) at /home/user/pytorch/aten/src/ATen/FunctionalizeFallbackKernel.cpp:173
pytorch#7 0x000003ff63f89258 in c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>), &(resize__functionalization(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>))>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat> > >::operator()(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>) (
this=0x6030000390a0, args=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h:13
pytorch#8 c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>), &(resize__functionalization(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>))>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>) (functor=0x6030000390a0, dispatchKeySet=..., args=..., args=...,
args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h:480
pytorch#9 0x000003ff6aca560a in c10::callUnboxedKernelFunction<at::Tensor const&, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat> > (
unboxed_kernel_func=0x3ff63f88a80 <c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tenso
r const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>), &(resize__functionalization(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>))>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<long>, c10::optional<c10::MemoryFormat>)>, functor=0x6030000390a0,
dispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:50
pytorch#10 0x000003ff6aca715c in c10::KernelFunction::call<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > (this=0x6210005e1b28, opHandle=...,
dispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:96
pytorch#11 c10::Dispatcher::redispatch<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)> const&, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const (
this=0x3ff919400e0 <c10::Dispatcher::realSingleton()::_singleton>, op=..., currentDispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:656
pytorch#12 0x000003ff6a82006c in c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::redispatch(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const (
this=0x3ff919a07e0 <at::_ops::resize_::redispatch(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)::op>, currentDispatchKeySet=..., args=...,
args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:492
pytorch#13 at::_ops::resize_::redispatch (dispatchKeySet=..., self=..., size=..., memory_format=...) at /home/user/pytorch/build/aten/src/ATen/Operators_4.cpp:2144
pytorch#14 0x000003ff861d5e08 in at::redispatch::resize__symint (dispatchKeySet=..., self=..., size=..., memory_format=...) at aten/src/ATen/RedispatchFunctions.h:2847
pytorch#15 0x000003ff861b579e in torch::ADInplaceOrView::resize_ (ks=..., self=..., size=..., optional_memory_format=...) at /home/user/pytorch/torch/csrc/autograd/VariableTypeManual.cpp:401
```
Memory access:
```
#0 c10::SymInt::maybe_as_int (this=0x61000013d790) at /home/user/pytorch/c10/core/SymInt.h:215
pytorch#1 0x000003ff734d0a6e in c10::SymInt::sym_eq (this=0x61000013d790, sci=...) at /home/user/pytorch/c10/core/SymInt.cpp:69
pytorch#2 0x000003ff5f6ab0be in c10::SymInt::operator== (this=0x61000013d790, o=...) at /home/user/pytorch/c10/core/SymInt.h:177
pytorch#3 0x000003ff5f6aaede in std::__equal<false>::equal<c10::SymInt const*, c10::SymInt const*> (__first1=0x61000013d790, __last1=0x61000013d7a0, __first2=0x602000015c30)
at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_algobase.h:1162
pytorch#4 0x000003ff5f6aae4c in std::__equal_aux1<c10::SymInt const*, c10::SymInt const*> (__first1=0x61000013d790, __last1=0x61000013d7a0, __first2=0x602000015c30)
at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_algobase.h:1211
pytorch#5 0x000003ff5f6aae06 in std::__equal_aux<c10::SymInt const*, c10::SymInt const*> (__first1=0x61000013d790, __last1=0x61000013d7a0, __first2=0x602000015c30)
at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_algobase.h:1219
pytorch#6 0x000003ff5f6aad98 in std::equal<c10::SymInt const*, c10::SymInt const*> (__first1=0x61000013d790, __last1=0x61000013d7a0, __first2=0x602000015c30)
at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_algobase.h:1556
pytorch#7 0x000003ff2ff3c772 in c10::ArrayRef<c10::SymInt>::equals (this=0x3ffed7c9900, RHS=...) at /home/user/pytorch/c10/util/ArrayRef.h:188
pytorch#8 0x000003ff31891bc2 in c10::operator!=<c10::SymInt> (a1=..., a2=...) at /home/user/pytorch/c10/util/ArrayRef.h:341
pytorch#9 0x000003ff51eb5800 in torch::ADInplaceOrView::resize_ (ks=..., self=..., size=..., optional_memory_format=...) at /home/user/pytorch/torch/csrc/autograd/VariableTypeManual.cpp:408
pytorch#10 0x000003ff51ee59c8 in c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c
10::MemoryFormat>), &torch::ADInplaceOrView::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>
> >::operator()(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) (this=0x6030007dca40, args=..., args=..., args=..., args=...)
at /home/user/pytorch/aten/src/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h:13
pytorch#11 c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt
>, c10::optional<c10::MemoryFormat>), &torch::ADInplaceOrView::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<
c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tenso
r const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) (functor=0x6030007dca40, dispatchKeySet=..., args=..., args=..., args=...)
at /home/user/pytorch/aten/src/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h:480
pytorch#12 0x000003ff369a512a in c10::callUnboxedKernelFunction<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > (
unboxed_kernel_func=0x3ff51ee51f0 <c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor const& (c10::DispatchKeySet, at::Tenso
r const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>), &torch::ADInplaceOrView::resize_>, at::Tensor const&, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, c10::Ar
rayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > >, at::Tensor const& (c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::call(c10::OperatorKern
el*, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>, functor=0x6030007dca40, dispatchKeySet=..., args=..., args=..., args=...)
at /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:50
pytorch#13 0x000003ff369a6e90 in c10::KernelFunction::call<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> > (this=0x6210005e1bc8, opHandle=...,
dispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/boxing/KernelFunction_impl.h:90
pytorch#14 c10::Dispatcher::redispatch<at::Tensor const&, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat> >(c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::Arr
ayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)> const&, c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const (
this=0x3ff5d6400e0 <c10::Dispatcher::realSingleton()::_singleton>, op=..., currentDispatchKeySet=..., args=..., args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:656
pytorch#15 0x000003ff3652006c in c10::TypedOperatorHandle<at::Tensor const& (at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)>::redispatch(c10::DispatchKeySet, at::Tensor const&,
c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>) const (
this=0x3ff5d6a07e0 <at::_ops::resize_::redispatch(c10::DispatchKeySet, at::Tensor const&, c10::ArrayRef<c10::SymInt>, c10::optional<c10::MemoryFormat>)::op>, currentDispatchKeySet=..., args=...,
args=..., args=...) at /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:492
pytorch#16 at::_ops::resize_::redispatch (dispatchKeySet=..., self=..., size=..., memory_format=...) at /home/user/pytorch/build/aten/src/ATen/Operators_4.cpp:2144
pytorch#17 0x000003ff51ed5e08 in at::redispatch::resize__symint (dispatchKeySet=..., self=..., size=..., memory_format=...) at aten/src/ATen/RedispatchFunctions.h:2847
pytorch#18 0x000003ff51ebbb68 in torch::autograd::VariableType::(anonymous namespace)::resize_ (ks=..., self=..., size=..., optional_memory_format=...)
at /home/user/pytorch/torch/csrc/autograd/VariableTypeManual.cpp:243
```
</details>
Pull Request resolved: pytorch#101064
Approved by: https://github.com/Skylion007, https://github.com/albanD
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When tensor is resized, reference array to it's sizes may become invalid. Make a copy in advance.
ASAN report
Additional backtraces (not full)
Memory deallocation:
Memory access: