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[XLA hash update] update the pinned xla hash #5

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This PR is auto-generated nightly by this action.
Update the pinned xla hash from 7f96fbf6f7e37810a805c741416e7c54ae65c8cd to ff2364b6f943241a9cb98d0792328717fce193d6.

titaiwangms pushed a commit that referenced this pull request May 25, 2022
@d4l3k @pytorchmergebot
torch/distributed: move WorkerInfo registration into libtorch instead…
ebba421 
… of libtorch_python (pytorch#78028)

Summary:
This moves torch::class_<WorkerInfo> into `rpc_agent.cpp` so it gets registered in libtorch instead of libtorch_python. This is intermediate work to getting torch::deploy to load an unmodified copy of libtorch. Current RPC is incompatible due to duplicate registrations.

```
unknown file: Failure
C++ exception with description "Exception Caught inside torch::deploy embedded library:
Custom class with name __torch__.torch.classes.dist_rpc.WorkerInfo is already registered. Ensure that registration with torch::class_ is only called once.
Exception raised from registerCustomClass at ../aten/src/ATen/core/custom_class.cpp:61 (most recent call first):
frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x3e (0x7f3bd9adb92e in /home/tristanr/venvs/multipy/lib/python3.8/site-packages/torch/lib/libc10.so)
frame #1: c10::detail::torchCheckFail(char const*, char const*, unsigned int, std::string const&) + 0x5c (0x7f3bd9ab7068 in /home/tristanr/venvs/multipy/lib/python3.8/site-packages/torch/lib/libc10.so)
frame #2: torch::registerCustomClass(std::shared_ptr<c10::ClassType>) + 0x110 (0x7f3bc2258980 in /home/tristanr/venvs/multipy/lib/python3.8/site-packages/torch/lib/libtorch_cpu.so)
frame #3: torch::detail::class_base::class_base(std::string const&, std::string const&, std::string, std::type_info const&, std::type_info const&) + 0x3b9 (0x7f3bc225a419 in /home/tristanr/venvs/multipy/lib/python3.8/site-packages/torch/lib/libtorch_cpu.so)
frame #4: [0x7f3ba45cfea1]
frame #5: <unknown function> + 0x1b5334 (0x5652bdab9334 in ./test_deploy)
frame pytorch#6: <unknown function> + 0x1b4f3e (0x5652bdab8f3e in ./test_deploy)
frame pytorch#7: <unknown function> + 0x1b519b (0x5652bdab919b in ./test_deploy)
frame pytorch#8: loadSearchFile(char const*) + 0x23e (0x7f3ba62f37f8 in /tmp/torch_deploy9ATEFg)
frame pytorch#9: deploy_set_self + 0x51 (0x7f3ba62f38f9 in /tmp/torch_deploy9ATEFg)
frame pytorch#10: torch::deploy::Interpreter::Interpreter(torch::deploy::InterpreterManager*, std::shared_ptr<torch::deploy::Environment>) + 0x274 (0x5652bdaaa790 in ./test_deploy)
frame pytorch#11: void __gnu_cxx::new_allocator<torch::deploy::Interpreter>::construct<torch::deploy::Interpreter, torch::deploy::InterpreterManager*, std::shared_ptr<torch::deploy::Environment>&>(torch::deploy::Interpreter*, torch::deploy::InterpreterManager*&&, std::shared_ptr<torch::deploy::Environment>&) + 0x81 (0x5652bdaaf58b in ./test_deploy)
frame pytorch#12: void std::allocator_traits<std::allocator<torch::deploy::Interpreter> >::construct<torch::deploy::Interpreter, torch::deploy::InterpreterManager*, std::shared_ptr<torch::deploy::Environment>&>(std::allocator<torch::deploy::Interpreter>&, torch::deploy::Interpreter*, torch::deploy::InterpreterManager*&&, std::shared_ptr<torch::deploy::Environment>&) + 0x4a (0x5652bdaae320 in ./test_deploy)
frame pytorch#13: void std::vector<torch::deploy::Interpreter, std::allocator<torch::deploy::Interpreter> >::_M_realloc_insert<torch::deploy::InterpreterManager*, std::shared_ptr<torch::deploy::Environment>&>(__gnu_cxx::__normal_iterator<torch::deploy::Interpreter*, std::vector<torch::deploy::Interpreter, std::allocator<torch::deploy::Interpreter> > >, torch::deploy::InterpreterManager*&&, std::shared_ptr<torch::deploy::Environment>&) + 0xee (0x5652bdaae4a0 in ./test_deploy)
frame pytorch#14: void std::vector<torch::deploy::Interpreter, std::allocator<torch::deploy::Interpreter> >::emplace_back<torch::deploy::InterpreterManager*, std::shared_ptr<torch::deploy::Environment>&>(torch::deploy::InterpreterManager*&&, std::shared_ptr<torch::deploy::Environment>&) + 0xb6 (0x5652bdaad258 in ./test_deploy)
frame pytorch#15: torch::deploy::InterpreterManager::InterpreterManager(unsigned long, std::shared_ptr<torch::deploy::Environment>) + 0x123 (0x5652bdaa83b1 in ./test_deploy)
frame pytorch#16: TorchpyTest_InitTwice_Test::TestBody() + 0x65 (0x5652bda075a9 in ./test_deploy)
frame pytorch#17: void testing::internal::HandleSehExceptionsInMethodIfSupported<testing::Test, void>(testing::Test*, void (testing::Test::*)(), char const*) + 0x65 (0x5652bda944b7 in ./test_deploy)
frame pytorch#18: void testing::internal::HandleExceptionsInMethodIfSupported<testing::Test, void>(testing::Test*, void (testing::Test::*)(), char const*) + 0x5a (0x5652bda8cfe7 in ./test_deploy)
frame pytorch#19: testing::Test::Run() + 0x100 (0x5652bda68622 in ./test_deploy)
frame pytorch#20: testing::TestInfo::Run() + 0x10f (0x5652bda68fb3 in ./test_deploy)
frame pytorch#21: testing::TestSuite::Run() + 0x121 (0x5652bda6980d in ./test_deploy)
frame pytorch#22: testing::internal::UnitTestImpl::RunAllTests() + 0x38e (0x5652bda756e6 in ./test_deploy)
frame pytorch#23: bool testing::internal::HandleSehExceptionsInMethodIfSupported<testing::internal::UnitTestImpl, bool>(testing::internal::UnitTestImpl*, bool (testing::internal::UnitTestImpl::*)(), char const*) + 0x65 (0x5652bda9586b in ./test_deploy)
frame pytorch#24: bool testing::internal::HandleExceptionsInMethodIfSupported<testing::internal::UnitTestImpl, bool>(testing::internal::UnitTestImpl*, bool (testing::internal::UnitTestImpl::*)(), char const*) + 0x5a (0x5652bda8e0f7 in ./test_deploy)
frame pytorch#25: testing::UnitTest::Run() + 0xc9 (0x5652bda73fd1 in ./test_deploy)
frame pytorch#26: RUN_ALL_TESTS() + 0x11 (0x5652bda169fa in ./test_deploy)
frame pytorch#27: main + 0x27 (0x5652bda10ce2 in ./test_deploy)
frame pytorch#28: <unknown function> + 0x2d310 (0x7f3bc0431310 in /usr/lib/libc.so.6)
frame pytorch#29: __libc_start_main + 0x81 (0x7f3bc04313c1 in /usr/lib/libc.so.6)
frame pytorch#30: _start + 0x25 (0x5652bda063b5 in ./test_deploy)
```

Test Plan: CI

Differential Revision: D36564258

Pull Request resolved: pytorch#78028
Approved by: https://github.com/rohan-varma
titaiwangms pushed a commit that referenced this pull request Jun 8, 2022
@dzdang @pytorchmergebot
[quant][core][better-engineering] Rename files in quantized directory…
a56f4e2 
… to conform with non-quantized countertpart filenames

Summary:
Names of analogous files in quantized directory (previously snake case) were inconsistent with
their non-quantized filename counterparts (pascal case). This is the first of a series of PRs that changes
all files in quantized (and sub-directories) dir to have pascal case.

`aten/src/ATen/native/quantized/qconv_unpack.cpp` has not been renamed yet
because (for reasons currently unknown) after making the name change, `import torch` produces the below error (`qlinear_unpack.cpp` renaming also seems to fail some phabricator CI tests for similar reasons). We suspect that these may be undefined errors and will revisit naming these files in a future PR.

```
terminate called after throwing an instance of 'c10::Error'
  what():  Type c10::intrusive_ptr<ConvPackedParamsBase<2> > could not be converted to any of the known types.
Exception raised from operator() at ../aten/src/ATen/core/jit_type.h:1735 (most recent call first):
frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x55 (0x7f26745c0c65 in /data/users/dzdang/pytorch/torch/lib/libc10.so)
frame #1: c10::detail::torchCheckFail(char const*, char const*, unsigned int, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0xb1 (0x7f26745bdcd1 in /data/users/dzdang/pytorch/torch/lib/libc10.so)
frame #2: <unknown function> + 0x1494e24 (0x7f2663b14e24 in /data/users/dzdang/pytorch/torch/lib/libtorch_cpu.so)
frame #3: <unknown function> + 0xfed0bc (0x7f266366d0bc in /data/users/dzdang/pytorch/torch/lib/libtorch_cpu.so)
frame #4: c10::detail::infer_schema::make_function_schema(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&&, c10::ArrayRef<c10::detail::infer_schema::ArgumentDef>, c10::ArrayRef<c10::detail::infer_schema::ArgumentDef>) + 0x5a (0x7f266366d71a in /data/users/dzdang/pytorch/torch/lib/libtorch_cpu.so)
frame #5: c10::detail::infer_schema::make_function_schema(c10::ArrayRef<c10::detail::infer_schema::ArgumentDef>, c10::ArrayRef<c10::detail::infer_schema::ArgumentDef>) + 0x7b (0x7f266366e06b in /data/users/dzdang/pytorch/torch/lib/libtorch_cpu.so)
frame pytorch#6: <unknown function> + 0x1493f32 (0x7f2663b13f32 in /data/users/dzdang/pytorch/torch/lib/libtorch_cpu.so)
frame pytorch#7: <unknown function> + 0xe227dd (0x7f26634a27dd in /data/users/dzdang/pytorch/torch/lib/libtorch_cpu.so)
frame pytorch#8: <unknown function> + 0x14e0a (0x7f268c934e0a in /lib64/ld-linux-x86-64.so.2)
..........................truncated.............
```

Test Plan:
```
python test/test_quantization.py
```

Pull Request resolved: pytorch#77037

Approved by: https://github.com/jerryzh168
titaiwangms pushed a commit that referenced this pull request Aug 11, 2022
@apach301 @pytorchmergebot
Add exception handler for stoull in caffe2 (pytorch#77557)
9213751 
Hi!

I was playing with libfuzzer and found bug when loading a model from file via `torch::jit::load` function.
There is an unhandled exception in caffe2/serialize when calling a `stoull` function on unsanitized version string.

The bug can be reproduced with `aot_model_compiler` binary:
```
aot_model_compiler --model=crash-stoull --model_name=name --model_version=1 --input_dims='1,3,224,224;2,2' --input_types='float;float'
```

Crash file is provided in [crash.zip](https://github.com/pytorch/pytorch/files/8701504/crash.zip).

gdb output:
```
Temporary breakpoint 1, main (argc=6, argv=0x7ffcd160f9f8) at /pytorch_master/binaries/aot_model_compiler.cc:87
87	      "Run NNC AOT compiler for pytorch model. Example usage:\n"
(gdb) c
Continuing.
terminate called after throwing an instance of 'std::invalid_argument'
  what():  stoull

Program received signal SIGABRT, Aborted.
__GI_raise (sig=sig@entry=6) at ../sysdeps/unix/sysv/linux/raise.c:50
50	../sysdeps/unix/sysv/linux/raise.c: No such file or directory.
(gdb) bt
#0  __GI_raise (sig=sig@entry=6) at ../sysdeps/unix/sysv/linux/raise.c:50
#1  0x00007fa637f16859 in __GI_abort () at abort.c:79
#2  0x00007fa6381c1911 in ?? () from /lib/x86_64-linux-gnu/libstdc++.so.6
#3  0x00007fa6381cd38c in ?? () from /lib/x86_64-linux-gnu/libstdc++.so.6
#4  0x00007fa6381cd3f7 in std::terminate() () from /lib/x86_64-linux-gnu/libstdc++.so.6
#5  0x00007fa6381cd6a9 in __cxa_throw () from /lib/x86_64-linux-gnu/libstdc++.so.6
pytorch#6  0x00007fa6381c42ce in std::__throw_invalid_argument(char const*) () from /lib/x86_64-linux-gnu/libstdc++.so.6
pytorch#7  0x000000000247d567 in __gnu_cxx::__stoa<unsigned long long, unsigned long long, char, int> (__str=0x7ffcd160f228 "ZZ", __idx=0x0, __base=10, __convf=<optimized out>, __name=<optimized out>)
    at /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/ext/string_conversions.h:83
pytorch#8  std::__cxx11::stoull (__str="ZZ", __idx=0x0, __base=10) at /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/basic_string.h:6577
pytorch#9  caffe2::serialize::PyTorchStreamReader::init (this=this@entry=0x8c11ce0) at /pytorch_master/caffe2/serialize/inline_container.cc:145
pytorch#10 0x000000000247d9c7 in caffe2::serialize::PyTorchStreamReader::PyTorchStreamReader (this=0x8c11ce0, in=std::shared_ptr<class caffe2::serialize::ReadAdapterInterface> (empty) = {...})
    at /pytorch_master/caffe2/serialize/inline_container.cc:88
pytorch#11 0x00000000035b7ba4 in __gnu_cxx::new_allocator<caffe2::serialize::PyTorchStreamReader>::construct<caffe2::serialize::PyTorchStreamReader, std::shared_ptr<caffe2::serialize::ReadAdapterInterface> > (
    __p=0x2, __args=..., this=<optimized out>) at /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/ext/new_allocator.h:150
pytorch#12 std::allocator_traits<std::allocator<caffe2::serialize::PyTorchStreamReader> >::construct<caffe2::serialize::PyTorchStreamReader, std::shared_ptr<caffe2::serialize::ReadAdapterInterface> > (__a=...,
    __p=0x2, __p@entry=0x8c11ce0, __args=...) at /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/alloc_traits.h:512
pytorch#13 0x00000000035b1988 in std::_Sp_counted_ptr_inplace<caffe2::serialize::PyTorchStreamReader, std::allocator<caffe2::serialize::PyTorchStreamReader>, (__gnu_cxx::_Lock_policy)2>::_Sp_counted_ptr_inplace<std::shared_ptr<caffe2::serialize::ReadAdapterInterface> > (this=0x8c11cd0, __a=..., __args=...) at /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/shared_ptr_base.h:551
pytorch#14 std::__shared_count<(__gnu_cxx::_Lock_policy)2>::__shared_count<caffe2::serialize::PyTorchStreamReader, std::allocator<caffe2::serialize::PyTorchStreamReader>, std::shared_ptr<caffe2::serialize::ReadAdapterInterface> > (this=0x7ffcd160f3a8, __p=@0x7ffcd160f3a0: 0x10, __args=..., __a=...) at /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/shared_ptr_base.h:683
pytorch#15 std::__shared_ptr<caffe2::serialize::PyTorchStreamReader, (__gnu_cxx::_Lock_policy)2>::__shared_ptr<std::allocator<caffe2::serialize::PyTorchStreamReader>, std::shared_ptr<caffe2::serialize::ReadAdapterInterface> > (this=0x7ffcd160f3a0, __args=..., __tag=...) at /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/shared_ptr_base.h:1371
pytorch#16 std::shared_ptr<caffe2::serialize::PyTorchStreamReader>::shared_ptr<std::allocator<caffe2::serialize::PyTorchStreamReader>, std::shared_ptr<caffe2::serialize::ReadAdapterInterface> > (this=0x7ffcd160f3a0,
    __args=..., __tag=...) at /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/shared_ptr.h:408
pytorch#17 std::allocate_shared<caffe2::serialize::PyTorchStreamReader, std::allocator<caffe2::serialize::PyTorchStreamReader>, std::shared_ptr<caffe2::serialize::ReadAdapterInterface> > (__args=..., __a=...)
    at /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/shared_ptr.h:859
pytorch#18 std::make_shared<caffe2::serialize::PyTorchStreamReader, std::shared_ptr<caffe2::serialize::ReadAdapterInterface> > (__args=...)
    at /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/shared_ptr.h:875
pytorch#19 torch::jit::load (rai=std::shared_ptr<class caffe2::serialize::ReadAdapterInterface> (empty) = {...}, device=device@entry=..., Python Exception <class 'gdb.error'> No type named std::__detail::_Hash_node<struct std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, true>.:
extra_files=std::unordered_map with 0 elements)
    at /pytorch_master/torch/csrc/jit/serialization/import.cpp:474
pytorch#20 0x00000000035b1ef6 in torch::jit::load (filename="crash-stoull", device=device@entry=..., Python Exception <class 'gdb.error'> No type named std::__detail::_Hash_node<struct std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, true>.:
extra_files=std::unordered_map with 0 elements) at /pytorch_master/torch/csrc/jit/serialization/import.cpp:444
pytorch#21 0x00000000035b1d22 in torch::jit::load (filename="", device=device@entry=...) at /pytorch_master/torch/csrc/jit/serialization/import.cpp:424
pytorch#22 0x00000000008f9be3 in main (argc=1, argv=0x7ffcd160f9f8) at /pytorch_master/binaries/aot_model_compiler.cc:128
```

Pull Request resolved: pytorch#77557
Approved by: https://github.com/Gamrix
titaiwangms pushed a commit that referenced this pull request Feb 10, 2023
@m4drat @pytorchmergebot
Add exception handlers for stoll in jit/frontend/schema_type_parser.c…
a1d210d 
…pp (pytorch#94295)

Hi!

I've been fuzzing different pytorch modules, and found a few crashes.

Specifically, I'm talking about `schema_type_parser.cpp` and `irparser.cpp`. Inside these files, different standard conversion functions are used (such as `stoll`, `stoi`, `stod`, `stoull`). However, default `std` exceptions, such as `std::out_of_range`, `std::invalid_argument`, are not handled.

Some of the crash-files:

1. [crash-493db74c3426e79b2bf0ffa75bb924503cb9acdc.zip](https://github.com/pytorch/pytorch/files/10237616/crash-493db74c3426e79b2bf0ffa75bb924503cb9acdc.zip) - crash source: schema_type_parser.cpp:272

2. [crash-67bb5d34ca48235687cc056e2cdeb2476b8f4aa5.zip](https://github.com/pytorch/pytorch/files/10237618/crash-67bb5d34ca48235687cc056e2cdeb2476b8f4aa5.zip) - crash source: schema_type_parser.cpp:240

3. [crash-0157bca5c41bffe112aa01f3b0f2099ca4bcc62f.zip](https://github.com/pytorch/pytorch/files/10307970/crash-0157bca5c41bffe112aa01f3b0f2099ca4bcc62f.zip) - crash source: schema_type_parser.cpp:179

4. [crash-430da923e56adb9569362efa7fa779921371b710.zip](https://github.com/pytorch/pytorch/files/10307972/crash-430da923e56adb9569362efa7fa779921371b710.zip) - crash source: schema_type_parser.cpp:196

The provided patch adds exception handlers for `std::invalid_argument` and `std::out_of_range`, to rethrow these exceptions with `ErrorReport`.

### How to reproduce

1. To reproduce the crash, use provided docker: [Dockerfile](https://github.com/ispras/oss-sydr-fuzz/blob/master/projects/pytorch/Dockerfile)

2. Build the container: `docker build -t oss-sydr-fuzz-pytorch-reproduce .`

3. Copy crash file to the current directory

5. Run the container: ``docker run --privileged --network host -v `pwd`:/homedir --rm -it oss-sydr-fuzz-pytorch-reproduce /bin/bash``

6. And execute the binary: `/irparser_fuzz /homedir/crash-67bb5d34ca48235687cc056e2cdeb2476b8f4aa5`

After execution completes you will see this error message:

```txt
terminate called after throwing an instance of 'std::out_of_range'
  what():  stoll
```

And this stacktrace:

```asan
==9626== ERROR: libFuzzer: deadly signal
    #0 0x5b4cf1 in __sanitizer_print_stack_trace /llvm-project/compiler-rt/lib/asan/asan_stack.cpp:87:3
    #1 0x529627 in fuzzer::PrintStackTrace() /llvm-project/compiler-rt/lib/fuzzer/FuzzerUtil.cpp:210:5
    #2 0x50f833 in fuzzer::Fuzzer::CrashCallback() /llvm-project/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:233:3
    #3 0x7ffff7c3741f  (/lib/x86_64-linux-gnu/libpthread.so.0+0x1441f)
    #4 0x7ffff7a5700a in raise (/lib/x86_64-linux-gnu/libc.so.6+0x4300a)
    #5 0x7ffff7a36858 in abort (/lib/x86_64-linux-gnu/libc.so.6+0x22858)
    pytorch#6 0x7ffff7e74910  (/lib/x86_64-linux-gnu/libstdc++.so.6+0x9e910)
    pytorch#7 0x7ffff7e8038b  (/lib/x86_64-linux-gnu/libstdc++.so.6+0xaa38b)
    pytorch#8 0x7ffff7e803f6 in std::terminate() (/lib/x86_64-linux-gnu/libstdc++.so.6+0xaa3f6)
    pytorch#9 0x7ffff7e806a8 in __cxa_throw (/lib/x86_64-linux-gnu/libstdc++.so.6+0xaa6a8)
    pytorch#10 0x7ffff7e7737d in std::__throw_out_of_range(char const*) (/lib/x86_64-linux-gnu/libstdc++.so.6+0xa137d)
    pytorch#11 0xbd0579 in long long __gnu_cxx::__stoa<long long, long long, char, int>(long long (*)(char const*, char**, int), char const*, char const*, unsigned long*, int) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/ext/string_conversions.h:86:2
    pytorch#12 0xc10f9c in std::__cxx11::stoll(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, unsigned long*, int) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/basic_string.h:6572:12
    pytorch#13 0xc10f9c in torch::jit::SchemaTypeParser::parseRefinedTensor()::$_2::operator()() const::'lambda'()::operator()() const /pytorch_fuzz/torch/csrc/jit/frontend/schema_type_parser.cpp:240:25
    pytorch#14 0xc10f9c in void c10::function_ref<void ()>::callback_fn<torch::jit::SchemaTypeParser::parseRefinedTensor()::$_2::operator()() const::'lambda'()>(long) /pytorch_fuzz/c10/util/FunctionRef.h:43:12
    pytorch#15 0xbfbb27 in torch::jit::SchemaTypeParser::parseList(int, int, int, c10::function_ref<void ()>) /pytorch_fuzz/torch/csrc/jit/frontend/schema_type_parser.cpp:424:7
    pytorch#16 0xc0ef24 in torch::jit::SchemaTypeParser::parseRefinedTensor()::$_2::operator()() const /pytorch_fuzz/torch/csrc/jit/frontend/schema_type_parser.cpp:236:9
    pytorch#17 0xc0ef24 in void c10::function_ref<void ()>::callback_fn<torch::jit::SchemaTypeParser::parseRefinedTensor()::$_2>(long) /pytorch_fuzz/c10/util/FunctionRef.h:43:12
    pytorch#18 0xbfbb27 in torch::jit::SchemaTypeParser::parseList(int, int, int, c10::function_ref<void ()>) /pytorch_fuzz/torch/csrc/jit/frontend/schema_type_parser.cpp:424:7
    pytorch#19 0xbff590 in torch::jit::SchemaTypeParser::parseRefinedTensor() /pytorch_fuzz/torch/csrc/jit/frontend/schema_type_parser.cpp:209:3
    pytorch#20 0xc02992 in torch::jit::SchemaTypeParser::parseType() /pytorch_fuzz/torch/csrc/jit/frontend/schema_type_parser.cpp:362:13
    pytorch#21 0x9445642 in torch::jit::IRParser::parseVarWithType(bool) /pytorch_fuzz/torch/csrc/jit/ir/irparser.cpp:111:35
    pytorch#22 0x944ff4c in torch::jit::IRParser::parseOperatorOutputs(std::vector<torch::jit::VarWithType, std::allocator<torch::jit::VarWithType> >*)::$_0::operator()() const /pytorch_fuzz/torch/csrc/jit/ir/irparser.cpp:138:21
    pytorch#23 0x944ff4c in void std::__invoke_impl<void, torch::jit::IRParser::parseOperatorOutputs(std::vector<torch::jit::VarWithType, std::allocator<torch::jit::VarWithType> >*)::$_0&>(std::__invoke_other, torch::jit::IRParser::parseOperatorOutputs(std::vector<torch::jit::VarWithType, std::allocator<torch::jit::VarWithType> >*)::$_0&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:60:14
    pytorch#24 0x94463a7 in torch::jit::IRParser::parseList(int, int, int, std::function<void ()> const&) /pytorch_fuzz/torch/csrc/jit/ir/irparser.cpp:498:7
    pytorch#25 0x94460a5 in torch::jit::IRParser::parseOperatorOutputs(std::vector<torch::jit::VarWithType, std::allocator<torch::jit::VarWithType> >*) /pytorch_fuzz/torch/csrc/jit/ir/irparser.cpp:137:3
    pytorch#26 0x944c1ce in torch::jit::IRParser::parseOperator(torch::jit::Block*) /pytorch_fuzz/torch/csrc/jit/ir/irparser.cpp:384:3
    pytorch#27 0x944bf56 in torch::jit::IRParser::parseOperatorsList(torch::jit::Block*) /pytorch_fuzz/torch/csrc/jit/ir/irparser.cpp:362:5
    pytorch#28 0x9444f5f in torch::jit::IRParser::parse() /pytorch_fuzz/torch/csrc/jit/ir/irparser.cpp:482:3
    pytorch#29 0x94448df in torch::jit::parseIR(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, torch::jit::Graph*, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, torch::jit::Value*, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, torch::jit::Value*> > >&) /pytorch_fuzz/torch/csrc/jit/ir/irparser.cpp:94:5
    pytorch#30 0x944526e in torch::jit::parseIR(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, torch::jit::Graph*) /pytorch_fuzz/torch/csrc/jit/ir/irparser.cpp:99:3
    pytorch#31 0x5e3ebd in LLVMFuzzerTestOneInput /irparser_fuzz.cc:43:5
    pytorch#32 0x510d61 in fuzzer::Fuzzer::ExecuteCallback(unsigned char const*, unsigned long) /llvm-project/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:611:15
    pytorch#33 0x4fac7c in fuzzer::RunOneTest(fuzzer::Fuzzer*, char const*, unsigned long) /llvm-project/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:324:6
    pytorch#34 0x5009cb in fuzzer::FuzzerDriver(int*, char***, int (*)(unsigned char const*, unsigned long)) /llvm-project/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:860:9
    pytorch#35 0x529f62 in main /llvm-project/compiler-rt/lib/fuzzer/FuzzerMain.cpp:20:10
    pytorch#36 0x7ffff7a38082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082)
    pytorch#37 0x4f559d in _start (/irparser_fuzz+0x4f559d)

```

Following these steps with the remaining crashes will give you almost the same results.
Pull Request resolved: pytorch#94295
Approved by: https://github.com/davidberard98
titaiwangms pushed a commit that referenced this pull request Feb 14, 2023
@m4drat @pytorchmergebot
Add stack emptiness checks inside interpreter.cpp (pytorch#94298)
a6a433a 
Hi!

I've been fuzzing different pytorch modules, and found a few crashes inside one of them.

Specifically, I'm talking about a module for interpreting the JIT code and a function called `InterpreterState::run()`. Running this function with provided crash file results in a crash, which occurs while calling `dim()` on a `stack` with 0 elements ([line-686](https://github.com/pytorch/pytorch/blob/abc54f93145830b502400faa92bec86e05422fbd/torch/csrc/jit/runtime/interpreter.cpp#L686)). The crash itself occurs later, when std::move is called with incorrect value of type `IValue`.

The second crash is similar and occurs on [line 328](https://github.com/pytorch/pytorch/blob/abc54f93145830b502400faa92bec86e05422fbd/torch/csrc/jit/runtime/interpreter.cpp#LL328C15-L328C48), where `reg(inst.X + i - 1) = pop(stack);` is executed. The error here is the same, `Stack stack` might not contain enough elements.

The third crash occurs on [line 681](https://github.com/pytorch/pytorch/blob/abc54f93145830b502400faa92bec86e05422fbd/torch/csrc/jit/runtime/interpreter.cpp#L681). The problem here is the same as for previous crashes. There are not enough elements in the stack.

In addition to these places, there are many others (in the same function) where border checking is also missing. I am not sure what is the best way to fix these problems, however I suggest adding a boundary check inside each of these case statement.

All tests were performed on this pytorch version: [abc54f9](https://github.com/pytorch/pytorch/tree/abc54f93145830b502400faa92bec86e05422fbd)

### How to reproduce

1. To reproduce the crash, use provided docker: [Dockerfile](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch)

2. Build the container: `docker build -t oss-sydr-fuzz-pytorch-reproduce .`

3. Copy these crash files to the current directory:

    - [crash-4f18c5128c9a5a94343fcbbd543d7d6b02964471.zip](https://github.com/pytorch/pytorch/files/10674143/crash-4f18c5128c9a5a94343fcbbd543d7d6b02964471.zip)
    - [crash-55384dd7c9689ed7b94ac6697cc43db4e0dd905a.zip](https://github.com/pytorch/pytorch/files/10674147/crash-55384dd7c9689ed7b94ac6697cc43db4e0dd905a.zip)
    - [crash-06b6125d01c5f91fae112a1aa7dcc76d71b66576.zip](https://github.com/pytorch/pytorch/files/10674152/crash-06b6125d01c5f91fae112a1aa7dcc76d71b66576.zip)

4. Run the container: ``docker run --privileged --network host -v `pwd`:/homedir --rm -it oss-sydr-fuzz-pytorch-reproduce /bin/bash``

5. And execute the binary: `/jit_differential_fuzz /homedir/crash-4f18c5128c9a5a94343fcbbd543d7d6b02964471`

After execution completes you will see this stacktrace:

```asan
=36==ERROR: AddressSanitizer: heap-buffer-overflow on address 0x6060001657f8 at pc 0x00000060bc91 bp 0x7fff00b33380 sp 0x7fff00b33378
READ of size 4 at 0x6060001657f8 thread T0
    #0 0x60bc90 in c10::IValue::IValue(c10::IValue&&) /pytorch_fuzz/torch/include/ATen/core/ivalue.h:214:43
    #1 0xc20e7cd in torch::jit::pop(std::vector<c10::IValue, std::allocator<c10::IValue> >&) /pytorch_fuzz/aten/src/ATen/core/stack.h:102:12
    #2 0xc20e7cd in torch::jit::dim(std::vector<c10::IValue, std::allocator<c10::IValue> >&) /pytorch_fuzz/torch/csrc/jit/mobile/promoted_prim_ops.cpp:119:20
    #3 0xc893060 in torch::jit::InterpreterStateImpl::runImpl(std::vector<c10::IValue, std::allocator<c10::IValue> >&) /pytorch_fuzz/torch/csrc/jit/runtime/interpreter.cpp:686:13
    #4 0xc85c47b in torch::jit::InterpreterStateImpl::run(std::vector<c10::IValue, std::allocator<c10::IValue> >&) /pytorch_fuzz/torch/csrc/jit/runtime/interpreter.cpp:1010:9
    #5 0x600598 in runGraph(std::shared_ptr<torch::jit::Graph>, std::vector<at::Tensor, std::allocator<at::Tensor> > const&) /jit_differential_fuzz.cc:66:38
    pytorch#6 0x601d99 in LLVMFuzzerTestOneInput /jit_differential_fuzz.cc:107:25
    pytorch#7 0x52ccf1 in fuzzer::Fuzzer::ExecuteCallback(unsigned char const*, unsigned long) /llvm-project/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:611:15
    pytorch#8 0x516c0c in fuzzer::RunOneTest(fuzzer::Fuzzer*, char const*, unsigned long) /llvm-project/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:324:6
    pytorch#9 0x51c95b in fuzzer::FuzzerDriver(int*, char***, int (*)(unsigned char const*, unsigned long)) /llvm-project/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:860:9
    pytorch#10 0x545ef2 in main /llvm-project/compiler-rt/lib/fuzzer/FuzzerMain.cpp:20:10
    pytorch#11 0x7f9ec069a082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082)
    pytorch#12 0x51152d in _start (/jit_differential_fuzz+0x51152d)

0x6060001657f8 is located 8 bytes to the left of 64-byte region [0x606000165800,0x606000165840)
allocated by thread T0 here:
    #0 0x5fd42d in operator new(unsigned long) /llvm-project/compiler-rt/lib/asan/asan_new_delete.cpp:95:3
    #1 0xa16ab5 in void std::vector<c10::IValue, std::allocator<c10::IValue> >::_M_realloc_insert<c10::IValue&>(__gnu_cxx::__normal_iterator<c10::IValue*, std::vector<c10::IValue, std::allocator<c10::IValue> > >, c10::IValue&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/vector.tcc:440:33
    #2 0xa168f1 in c10::IValue& std::vector<c10::IValue, std::allocator<c10::IValue> >::emplace_back<c10::IValue&>(c10::IValue&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/vector.tcc:121:4
    #3 0xc89b53c in torch::jit::InterpreterStateImpl::runImpl(std::vector<c10::IValue, std::allocator<c10::IValue> >&) /pytorch_fuzz/torch/csrc/jit/runtime/interpreter.cpp:344:19
    #4 0xc85c47b in torch::jit::InterpreterStateImpl::run(std::vector<c10::IValue, std::allocator<c10::IValue> >&) /pytorch_fuzz/torch/csrc/jit/runtime/interpreter.cpp:1010:9
    #5 0x600598 in runGraph(std::shared_ptr<torch::jit::Graph>, std::vector<at::Tensor, std::allocator<at::Tensor> > const&) /jit_differential_fuzz.cc:66:38
    pytorch#6 0x601d99 in LLVMFuzzerTestOneInput /jit_differential_fuzz.cc:107:25
    pytorch#7 0x52ccf1 in fuzzer::Fuzzer::ExecuteCallback(unsigned char const*, unsigned long) /llvm-project/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:611:15
    pytorch#8 0x516c0c in fuzzer::RunOneTest(fuzzer::Fuzzer*, char const*, unsigned long) /llvm-project/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:324:6
    pytorch#9 0x51c95b in fuzzer::FuzzerDriver(int*, char***, int (*)(unsigned char const*, unsigned long)) /llvm-project/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:860:9
    pytorch#10 0x545ef2 in main /llvm-project/compiler-rt/lib/fuzzer/FuzzerMain.cpp:20:10
    pytorch#11 0x7f9ec069a082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082)

SUMMARY: AddressSanitizer: heap-buffer-overflow /pytorch_fuzz/torch/include/ATen/core/ivalue.h:214:43 in c10::IValue::IValue(c10::IValue&&)
Shadow bytes around the buggy address:
  0x0c0c80024aa0: fd fd fd fd fd fd fd fa fa fa fa fa 00 00 00 00
  0x0c0c80024ab0: 00 00 00 fa fa fa fa fa fd fd fd fd fd fd fd fd
  0x0c0c80024ac0: fa fa fa fa fd fd fd fd fd fd fd fd fa fa fa fa
  0x0c0c80024ad0: fd fd fd fd fd fd fd fd fa fa fa fa fd fd fd fd
  0x0c0c80024ae0: fd fd fd fd fa fa fa fa 00 00 00 00 00 00 00 00
=>0x0c0c80024af0: fa fa fa fa fd fd fd fd fd fd fd fd fa fa fa[fa]
  0x0c0c80024b00: 00 00 00 00 00 00 00 00 fa fa fa fa fa fa fa fa
  0x0c0c80024b10: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x0c0c80024b20: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x0c0c80024b30: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x0c0c80024b40: 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
==36==ABORTING
```

6. Executing the remaining crashes gives similar crash reports
Pull Request resolved: pytorch#94298
Approved by: https://github.com/davidberard98
titaiwangms pushed a commit that referenced this pull request Feb 20, 2023
@apach301 @pytorchmergebot
Fix segmentation fault in script_type_parser.cpp and unpickler.cpp (p…
59005bb 
…ytorch#94815)

Hi!

I've been fuzzing different pytorch modules, and found a few crashes.

Proposed checks fixes multiple segmentation faults and heap buffer overflows that was found during fuzzing pytorch with [sydr-fuzz](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch).

### Crash files ###
1) Heap buffer overflow that leads to crash
[crash-842314913bf1820ec19cddfbb7400ffdbb756920.zip](https://github.com/pytorch/pytorch/files/9461316/crash-842314913bf1820ec19cddfbb7400ffdbb756920.zip)

```
  "AsanReport": [
    "==3751==ERROR: AddressSanitizer: heap-buffer-overflow on address 0x619000033478 at pc 0x0000005f9bc3 bp 0x7fffffff1eb0 sp 0x7fffffff1ea8\n",
    "READ of size 4 at 0x619000033478 thread T0\n",
    "[Detaching after fork from child process 3762]\n",
    "    #0 0x5f9bc2 in c10::IValue::IValue(c10::IValue&&) /pytorch_fuzz/aten/src/ATen/core/ivalue.h:192:43\n",
    "    #1 0x9ecd0a7 in torch::jit::pop(std::vector<c10::IValue, std::allocator<c10::IValue> >&) /pytorch_fuzz/aten/src/ATen/core/stack.h:102:12\n",
    "    #2 0x9ecd0a7 in torch::jit::Unpickler::readInstruction() /pytorch_fuzz/torch/csrc/jit/serialization/unpickler.cpp:380:17\n",
    "    #3 0x9ecafc7 in torch::jit::Unpickler::run() /pytorch_fuzz/torch/csrc/jit/serialization/unpickler.cpp:226:27\n",
    "    #4 0x9ecac62 in torch::jit::Unpickler::parse_ivalue() /pytorch_fuzz/torch/csrc/jit/serialization/unpickler.cpp:183:3\n",
    "    #5 0x9e45996 in torch::jit::unpickle(std::function<unsigned long (char*, unsigned long)>, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)) /pytorch_fuzz/torch/csrc/jit/serialization/pickle.cpp:127:20\n",
    "    pytorch#6 0x9e4626d in torch::jit::unpickle(char const*, unsigned long, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)) /pytorch_fuzz/torch/csrc/jit/serialization/pickle.cpp:137:10\n",
```

2) Segmentation fault
[crash-e690c58718e88921350562f0b4d9180938145d77.zip](https://github.com/pytorch/pytorch/files/9461331/crash-e690c58718e88921350562f0b4d9180938145d77.zip)

```
 "AsanReport": [
    "==3744==ERROR: AddressSanitizer: SEGV on unknown address (pc 0x000009122754 bp 0x7fffffff5290 sp 0x7fffffff5270 T0)\n",
    "==3744==The signal is caused by a READ memory access.\n",
    "==3744==Hint: this fault was caused by a dereference of a high value address (see register values below).  Disassemble the provided pc to learn which register was used.\n",
    "[Detaching after fork from child process 3763]\n",
    "    #0 0x9122754 in c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> >::retain_() /pytorch_fuzz/c10/util/intrusive_ptr.h:269:54\n",
    "    #1 0x9127929 in c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> >::intrusive_ptr(c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> > const&) /pytorch_fuzz/c10/util/intrusive_ptr.h:352:5\n",
    "    #2 0x9127929 in torch::jit::Expr::Expr(c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> > const&) /pytorch_fuzz/torch/csrc/jit/frontend/tree_views.h:269:49\n",
    "    #3 0x91b1bbb in torch::jit::Maybe<torch::jit::Expr>::get() const /pytorch_fuzz/torch/csrc/jit/frontend/tree_views.h:211:12\n",
    "    #4 0x92a8f74 in torch::jit::ScriptTypeParser::parseClassConstant(torch::jit::Assign const&) /pytorch_fuzz/torch/csrc/jit/frontend/script_type_parser.cpp:461:41\n",
    "    #5 0x9e1c09b in torch::jit::SourceImporterImpl::importClass(c10::QualifiedName const&, torch::jit::ClassDef const&, bool) /pytorch_fuzz/torch/csrc/jit/serialization/import_source.cpp:549:34\n",
    "    pytorch#6 0x9e13f00 in torch::jit::SourceImporterImpl::importNamedType(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, torch::jit::ClassDef const&) /pytorch_fuzz/torch/csrc/jit/serialization/import_source.cpp:288:5\n",
    "    pytorch#7 0x9e11fbc in torch::jit::SourceImporterImpl::findNamedType(c10::QualifiedName const&) /pytorch_fuzz/torch/csrc/jit/serialization/import_source.cpp:140:5\n",
```

3) Unhandled out of bounds access in a vector
[crash-ccd524e7ba19a37982dd91e0d6fc06bb26dd0b10.zip](https://github.com/pytorch/pytorch/files/9461367/crash-ccd524e7ba19a37982dd91e0d6fc06bb26dd0b10.zip)

```
  "AsanReport": [
    "==3792== ERROR: libFuzzer: deadly signal\n",
    "[Detaching after fork from child process 3809]\n",
    "    #0 0x59cc11 in __sanitizer_print_stack_trace /llvm-project/compiler-rt/lib/asan/asan_stack.cpp:87:3\n",
    "    #1 0x511547 in fuzzer::PrintStackTrace() /llvm-project/compiler-rt/lib/fuzzer/FuzzerUtil.cpp:210:5\n",
    "    #2 0x4f7753 in fuzzer::Fuzzer::CrashCallback() /llvm-project/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:233:3\n",
    "    #3 0x7ffff7c6741f  (/lib/x86_64-linux-gnu/libpthread.so.0+0x1441f)\n",
    "    #4 0x7ffff7a8700a in __libc_signal_restore_set /build/glibc-SzIz7B/glibc-2.31/signal/../sysdeps/unix/sysv/linux/internal-signals.h:86:3\n",
    "    #5 0x7ffff7a8700a in raise /build/glibc-SzIz7B/glibc-2.31/signal/../sysdeps/unix/sysv/linux/raise.c:48:3\n",
    "    pytorch#6 0x7ffff7a66858 in abort /build/glibc-SzIz7B/glibc-2.31/stdlib/abort.c:79:7\n",
    "    pytorch#7 0x7ffff7e73910  (/lib/x86_64-linux-gnu/libstdc++.so.6+0x9e910)\n",
    "    pytorch#8 0x7ffff7e7f38b  (/lib/x86_64-linux-gnu/libstdc++.so.6+0xaa38b)\n",
    "    pytorch#9 0x7ffff7e7f3f6 in std::terminate() (/lib/x86_64-linux-gnu/libstdc++.so.6+0xaa3f6)\n",
    "    pytorch#10 0x7ffff7e7f6a8 in __cxa_throw (/lib/x86_64-linux-gnu/libstdc++.so.6+0xaa6a8)\n",
    "    pytorch#11 0x7ffff7e763aa  (/lib/x86_64-linux-gnu/libstdc++.so.6+0xa13aa)\n",
    "    pytorch#12 0x6aeedf in std::vector<c10::IValue, std::allocator<c10::IValue> >::_M_range_check(unsigned long) const /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_vector.h:1073:4\n",
    "    pytorch#13 0x9ecd66c in torch::jit::Unpickler::readInstruction() /pytorch_fuzz/torch/csrc/jit/serialization/unpickler.cpp\n",
    "    pytorch#14 0x9ecafc7 in torch::jit::Unpickler::run() /pytorch_fuzz/torch/csrc/jit/serialization/unpickler.cpp:226:27\n",
    "    pytorch#15 0x9ecac62 in torch::jit::Unpickler::parse_ivalue() /pytorch_fuzz/torch/csrc/jit/serialization/unpickler.cpp:183:3\n",
```

Some other crashes found by fuzzer:
[crash-0cab888cbd1e9fea92ab6ddeadf40b958b87d62b.zip](https://github.com/pytorch/pytorch/files/9461406/crash-0cab888cbd1e9fea92ab6ddeadf40b958b87d62b.zip)
[crash-04c9ba8e3b0f15028fd0fb0ed014fd352e182a1d.zip](https://github.com/pytorch/pytorch/files/9461407/crash-04c9ba8e3b0f15028fd0fb0ed014fd352e182a1d.zip)
[crash-422ad8c3a3472980ba751f4c7f79cf2b53e49927.zip](https://github.com/pytorch/pytorch/files/9461408/crash-422ad8c3a3472980ba751f4c7f79cf2b53e49927.zip)

### How to reproduce ###

1. To reproduce the crashes, use provided docker: [Dockerfile](https://github.com/ispras/oss-sydr-fuzz/blob/master/projects/pytorch/Dockerfile)

2. Build the container: `docker build -t oss-sydr-fuzz-pytorch-reproduce .`

3. Copy crash file to the current directory

4. Run the container: `` docker run --privileged --network host -v `pwd`:/homedir --rm -it oss-sydr-fuzz-pytorch-reproduce /bin/bash ``

5. And execute fuzz-targets with provided crash-files.

After execution completes you will see ASAN reports.
Pull Request resolved: pytorch#94815
Approved by: https://github.com/davidberard98
titaiwangms pushed a commit that referenced this pull request May 1, 2023
@m4drat @pytorchmergebot
Add size check before calling .back() in rpc/script_call.cpp (pytorch…
7684044 
…#94297)

Hi!

I've been fuzzing different pytorch modules, and found a crash inside one of them.

Specifically, I'm talking about a module that processes `script_call` rpc requests and a function `ScriptCall::fromIValues(std::vector<at::IValue>& ivalues)`.

Running this test case causes a crash that occurs when `ivalues.back()` is called [script_call.cpp:90](https://github.com/pytorch/pytorch/blob/abc54f93145830b502400faa92bec86e05422fbd/torch/csrc/distributed/rpc/script_call.cpp#L90). The crash occurs because the vector `ivalues` is empty.

All tests were performed on this pytorch version: [abc54f9](https://github.com/pytorch/pytorch/tree/abc54f93145830b502400faa92bec86e05422fbd)

The provided patch checks if there are enough elements in the ivalues vector.

### How to reproduce

1. To reproduce the crash, use provided docker: [Dockerfile](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch)

2. Build the container: `docker build -t oss-sydr-fuzz-pytorch-reproduce .`

3. Copy crash file to the current directory:

    - [crash-9f76d4e37a2391136a4ce07d47269db1e063e4b4.zip](https://github.com/pytorch/pytorch/files/10674059/crash-9f76d4e37a2391136a4ce07d47269db1e063e4b4.zip)

4. Run the container: ``docker run --privileged --network host -v `pwd`:/homedir --rm -it oss-sydr-fuzz-pytorch-reproduce /bin/bash``

5. And execute the binary: `/message_deserialize_fuzz /homedir/crash-9f76d4e37a2391136a4ce07d47269db1e063e4b4`

After execution completes you will see this stacktrace:

```asan
AddressSanitizer:DEADLYSIGNAL
=================================================================
==57==ERROR: AddressSanitizer: SEGV on unknown address (pc 0x0000008e7b19 bp 0x7ffd2fdded70 sp 0x7ffd2fddec40 T0)
==57==The signal is caused by a READ memory access.
==57==Hint: this fault was caused by a dereference of a high value address (see register values below).  Disassemble the provided pc to learn which register was used.
    #0 0x8e7b19 in c10::IValue::isString() const /pytorch_fuzz/aten/src/ATen/core/ivalue.h:639:27
    #1 0x8e7b19 in c10::IValue::toStringRef[abi:cxx11]() const /pytorch_fuzz/aten/src/ATen/core/ivalue_inl.h:2179:3
    #2 0xe04fb58 in torch::distributed::rpc::ScriptCall::fromIValues(std::vector<c10::IValue, std::allocator<c10::IValue> >&) /pytorch_fuzz/torch/csrc/distributed/rpc/script_call.cpp:90:53
    #3 0xe0511f0 in torch::distributed::rpc::ScriptCall::fromMessage(torch::distributed::rpc::Message const&) /pytorch_fuzz/torch/csrc/distributed/rpc/script_call.cpp:133:10
    #4 0xe0ff71e in torch::distributed::rpc::deserializeRequest(torch::distributed::rpc::Message const&) /pytorch_fuzz/torch/csrc/distributed/rpc/utils.cpp:102:14
    #5 0x602a41 in LLVMFuzzerTestOneInput /message_deserialize_fuzz.cc:192:27
    pytorch#6 0x52ce61 in fuzzer::Fuzzer::ExecuteCallback(unsigned char const*, unsigned long) /llvm-project/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:611:15
    pytorch#7 0x516d7c in fuzzer::RunOneTest(fuzzer::Fuzzer*, char const*, unsigned long) /llvm-project/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:324:6
    pytorch#8 0x51cacb in fuzzer::FuzzerDriver(int*, char***, int (*)(unsigned char const*, unsigned long)) /llvm-project/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:860:9
    pytorch#9 0x546062 in main /llvm-project/compiler-rt/lib/fuzzer/FuzzerMain.cpp:20:10
    pytorch#10 0x7f41e42a8082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082)
    pytorch#11 0x51169d in _start (/message_deserialize_fuzz+0x51169d)

AddressSanitizer can not provide additional info.
SUMMARY: AddressSanitizer: SEGV /pytorch_fuzz/aten/src/ATen/core/ivalue.h:639:27 in c10::IValue::isString() const
==57==ABORTING
```
Pull Request resolved: pytorch#94297
Approved by: https://github.com/ezyang
titaiwangms pushed a commit that referenced this pull request May 2, 2023
@m4drat @pytorchmergebot
Add size check before calling stack_.at(dict_pos) in unpickler.cpp (p…
794e397 
…ytorch#94300)

Hi!

I've been fuzzing different pytorch modules, and found a crash inside one of them.

Specifically, I'm talking about a module for unpickling and a function called `Unpickler::readInstruction()`. Running this function with provided crash file results in a crash, which occurs while calling `auto dict = stack_.at(dict_pos).toGenericDict();` [unpickler.cpp:561](https://github.com/pytorch/pytorch/blob/0e94fbc0c8ab1572c88159c1a4c397b6eb824c01/torch/csrc/jit/serialization/unpickler.cpp#L561). The crash occurs, because the index `dict_pos` is out of bounds (which itself happens because the stack size is 0).

Besides this pull-request, there is another one related to unpickler hardening: pytorch#84343

All tests were performed on this pytorch version: [abc54f9](https://github.com/pytorch/pytorch/tree/abc54f93145830b502400faa92bec86e05422fbd)

### How to reproduce

1. To reproduce the crash, use provided docker: [Dockerfile](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch)

2. Build the container: `docker build -t oss-sydr-fuzz-pytorch-reproduce .`

3. Copy crash file to the current directory:

    - [crash-042dff5e121580425d9d34d0f293918f3c9fbf1e.zip](https://github.com/pytorch/pytorch/files/10674361/crash-042dff5e121580425d9d34d0f293918f3c9fbf1e.zip)

4. Run the container: ``docker run --privileged --network host -v `pwd`:/homedir --rm -it oss-sydr-fuzz-pytorch-reproduce /bin/bash``

5. And execute the binary: `/message_deserialize_sydr /homedir/crash-042dff5e121580425d9d34d0f293918f3c9fbf1e`

After execution completes you will see this error message:

```txt
terminate called after throwing an instance of 'std::out_of_range'
  what():  vector::_M_range_check: __n (which is 18446744073709551613) >= this->size() (which is 0)
```

And this stacktrace:

```asan
erminate called after throwing an instance of 'std::out_of_range'
  what():  vector::_M_range_check: __n (which is 18446744073709551613) >= this->size() (which is 0)
==39== ERROR: libFuzzer: deadly signal
    #0 0x5d0df1 in __sanitizer_print_stack_trace /llvm-project/compiler-rt/lib/asan/asan_stack.cpp:87:3
    #1 0x545727 in fuzzer::PrintStackTrace() /llvm-project/compiler-rt/lib/fuzzer/FuzzerUtil.cpp:210:5
    #2 0x52b933 in fuzzer::Fuzzer::CrashCallback() /llvm-project/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:233:3
    #3 0x7f9118e0341f  (/lib/x86_64-linux-gnu/libpthread.so.0+0x1441f)
    #4 0x7f9118c2300a in raise (/lib/x86_64-linux-gnu/libc.so.6+0x4300a)
    #5 0x7f9118c02858 in abort (/lib/x86_64-linux-gnu/libc.so.6+0x22858)
    pytorch#6 0x7f9119040910  (/lib/x86_64-linux-gnu/libstdc++.so.6+0x9e910)
    pytorch#7 0x7f911904c38b  (/lib/x86_64-linux-gnu/libstdc++.so.6+0xaa38b)
    pytorch#8 0x7f911904c3f6 in std::terminate() (/lib/x86_64-linux-gnu/libstdc++.so.6+0xaa3f6)
    pytorch#9 0x7f911904c6a8 in __cxa_throw (/lib/x86_64-linux-gnu/libstdc++.so.6+0xaa6a8)
    pytorch#10 0x7f91190433aa  (/lib/x86_64-linux-gnu/libstdc++.so.6+0xa13aa)
    pytorch#11 0x63acdf in std::vector<c10::IValue, std::allocator<c10::IValue> >::_M_range_check(unsigned long) const /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_vector.h:1073:4
    pytorch#12 0xce8f93e in std::vector<c10::IValue, std::allocator<c10::IValue> >::at(unsigned long) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_vector.h:1094:2
    pytorch#13 0xce8f93e in torch::jit::Unpickler::readInstruction() /pytorch_fuzz/torch/csrc/jit/serialization/unpickler.cpp:546:26
    pytorch#14 0xce8d527 in torch::jit::Unpickler::run() /pytorch_fuzz/torch/csrc/jit/serialization/unpickler.cpp:235:27
    pytorch#15 0xce8d1c2 in torch::jit::Unpickler::parse_ivalue() /pytorch_fuzz/torch/csrc/jit/serialization/unpickler.cpp:192:3
    pytorch#16 0xcdf0792 in torch::jit::unpickle(std::function<unsigned long (char*, unsigned long)>, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)) /pytorch_fuzz/torch/csrc/jit/serialization/pickle.cpp:127:20
    pytorch#17 0xcdf104d in torch::jit::unpickle(char const*, unsigned long, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)) /pytorch_fuzz/torch/csrc/jit/serialization/pickle.cpp:137:10
    pytorch#18 0xe0532db in torch::distributed::rpc::ScriptRemoteCall::fromMessage(torch::distributed::rpc::Message const&) /pytorch_fuzz/torch/csrc/distributed/rpc/script_remote_call.cpp:74:16
    pytorch#19 0xe0ffa10 in torch::distributed::rpc::deserializeRequest(torch::distributed::rpc::Message const&) /pytorch_fuzz/torch/csrc/distributed/rpc/utils.cpp:108:14
    pytorch#20 0x602a41 in LLVMFuzzerTestOneInput /message_deserialize_fuzz.cc:192:27
    pytorch#21 0x52ce61 in fuzzer::Fuzzer::ExecuteCallback(unsigned char const*, unsigned long) /llvm-project/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:611:15
    pytorch#22 0x516d7c in fuzzer::RunOneTest(fuzzer::Fuzzer*, char const*, unsigned long) /llvm-project/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:324:6
    pytorch#23 0x51cacb in fuzzer::FuzzerDriver(int*, char***, int (*)(unsigned char const*, unsigned long)) /llvm-project/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:860:9
    pytorch#24 0x546062 in main /llvm-project/compiler-rt/lib/fuzzer/FuzzerMain.cpp:20:10
    pytorch#25 0x7f9118c04082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082)
    pytorch#26 0x51169d in _start (/message_deserialize_fuzz+0x51169d)

NOTE: libFuzzer has rudimentary signal handlers.
      Combine libFuzzer with AddressSanitizer or similar for better crash reports.
SUMMARY: libFuzzer: deadly signal
```
Pull Request resolved: pytorch#94300
Approved by: https://github.com/malfet, https://github.com/apach301
titaiwangms pushed a commit that referenced this pull request May 12, 2023
@AlekseiNikiforovIBM @pytorchmergebot
ASAN: fix use-after-free (pytorch#101064)
f0f700e 
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
    #1 0x3ff8e7da35f in c10::SymInt::maybe_as_int() const /home/user/pytorch/c10/core/SymInt.h:215
    #2 0x3ff8e7d0a6d in c10::SymInt::sym_eq(c10::SymInt const&) const /home/user/pytorch/c10/core/SymInt.cpp:69
    #3 0x3ff7a9ab0bd in c10::SymInt::operator==(c10::SymInt const&) const /home/user/pytorch/c10/core/SymInt.h:177
    #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
    #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
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    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
    #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
    #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
    #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
#1  0x000003ffa77e3222 in c10::TensorImpl::~TensorImpl (this=0x61000013d740) at /home/user/pytorch/c10/core/TensorImpl.cpp:75
#2  0x000003ff63e76e8c in c10::intrusive_ptr<c10::TensorImpl, c10::UndefinedTensorImpl>::reset_ (this=0x3ffd7ec8230) at /home/user/pytorch/c10/util/intrusive_ptr.h:291
#3  0x000003ff63e76910 in c10::intrusive_ptr<c10::TensorImpl, c10::UndefinedTensorImpl>::~intrusive_ptr (this=0x3ffd7ec8230) at /home/user/pytorch/c10/util/intrusive_ptr.h:370
#4  0x000003ff63e67240 in at::TensorBase::~TensorBase (this=0x3ffd7ec8230) at /home/user/pytorch/aten/src/ATen/core/TensorBase.h:80
#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
#1  0x000003ff734d0a6e in c10::SymInt::sym_eq (this=0x61000013d790, sci=...) at /home/user/pytorch/c10/core/SymInt.cpp:69
#2  0x000003ff5f6ab0be in c10::SymInt::operator== (this=0x61000013d790, o=...) at /home/user/pytorch/c10/core/SymInt.h:177
#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
#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
#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
titaiwangms pushed a commit that referenced this pull request May 15, 2023
@AlekseiNikiforovIBM @pytorchmergebot
ASAN: fix use-after-free (pytorch#101400)
effe142 
arguments() returns vector member of object returned by schema() call.
When object returned by schema() call is destroyed, the vector is deallocated as well,
it's lifetime isn't extended.

This issue detected while running `pytest -v test/mobile/test_lite_script_type.py -k test_nest_typing_namedtuple_custom_classtype` with ASAN.

<details>
<summary>ASAN output</summary>

```
==1134126==ERROR: AddressSanitizer: heap-use-after-free on address 0x60d0005a5790 at pc 0x03ff844488d8 bp 0x03fff584afe8 sp 0x03fff584afd8
READ of size 8 at 0x60d0005a5790 thread T0
    #0 0x3ff844488d7 in __gnu_cxx::__normal_iterator<c10::Argument const*, std::vector<c10::Argument, std::allocator<c10::Argument> > >::__normal_iterator(c10::Argument const* const&) /usr/lib/gcc/s390x-i
bm-linux-gnu/11/include/g++-v11/bits/stl_iterator.h:1028
    #1 0x3ff8444293f in std::vector<c10::Argument, std::allocator<c10::Argument> >::begin() const /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_vector.h:821
    #2 0x3ff84d807d1 in torch::jit::toPyObject(c10::IValue) /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:617
    #3 0x3ff84d80305 in torch::jit::toPyObject(c10::IValue) /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:604
    #4 0x3ff84856871 in pybind11::detail::type_caster<c10::IValue, void>::cast(c10::IValue, pybind11::return_value_policy, pybind11::handle) /home/user/pytorch/torch/csrc/jit/python/pybind.h:138
    #5 0x3ff85318191 in pybind11::cpp_function::initialize<torch::jit::initJitScriptBindings(_object*)::$_45, c10::IValue, torch::jit::mobile::Module&, pybind11::tuple const&, pybind11::name, pybind11::is
_method, pybind11::sibling, pybind11::arg>(torch::jit::initJitScriptBindings(_object*)::$_45&&, c10::IValue (*)(torch::jit::mobile::Module&, pybind11::tuple const&), pybind11::name const&, pybind11::is_me
thod const&, pybind11::sibling const&, pybind11::arg const&)::{lambda(pybind11::detail::function_call&)#1}::operator()(pybind11::detail::function_call&) const /home/user/pytorch/cmake/../third_party/pybin
d11/include/pybind11/pybind11.h:249
    pytorch#6 0x3ff85317cfd in pybind11::cpp_function::initialize<torch::jit::initJitScriptBindings(_object*)::$_45, c10::IValue, torch::jit::mobile::Module&, pybind11::tuple const&, pybind11::name, pybind11::is
_method, pybind11::sibling, pybind11::arg>(torch::jit::initJitScriptBindings(_object*)::$_45&&, c10::IValue (*)(torch::jit::mobile::Module&, pybind11::tuple const&), pybind11::name const&, pybind11::is_me
thod const&, pybind11::sibling const&, pybind11::arg const&)::{lambda(pybind11::detail::function_call&)#1}::__invoke(pybind11::detail::function_call&) /home/user/pytorch/cmake/../third_party/pybind11/incl
ude/pybind11/pybind11.h:224
    pytorch#7 0x3ff82ee52e9 in pybind11::cpp_function::dispatcher(_object*, _object*, _object*) /home/user/pytorch/cmake/../third_party/pybind11/include/pybind11/pybind11.h:929
    pytorch#8 0x3ffab002903 in cfunction_call Objects/methodobject.c:543
    pytorch#9 0x3ffaaf8a933 in _PyObject_MakeTpCall Objects/call.c:215
    pytorch#10 0x3ffaaf8e919 in _PyObject_VectorcallTstate Include/cpython/abstract.h:112
    pytorch#11 0x3ffaaf8eddd in method_vectorcall Objects/classobject.c:53
    pytorch#12 0x3ffab0f00a9 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    pytorch#13 0x3ffab0f013d in PyObject_Vectorcall Include/cpython/abstract.h:123
    pytorch#14 0x3ffab105447 in call_function Python/ceval.c:5891
    pytorch#15 0x3ffab0ff779 in _PyEval_EvalFrameDefault Python/ceval.c:4181
    pytorch#16 0x3ffab0f052b in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    pytorch#17 0x3ffab102b67 in _PyEval_Vector Python/ceval.c:5065
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freed by thread T0 here:
    #0 0x3ffab537de5 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
    #1 0x3ff55984fdb in __gnu_cxx::new_allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> >::deallocate(std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2>*, unsigned long) /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/ext/new_allocator.h:145

previously allocated by thread T0 here:
    #0 0x3ffab53734f 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
    #1 0x3ff5598443f in __gnu_cxx::new_allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> >::allocate(unsigned long, void const*) /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/ext/new_allocator.h:127
    #2 0x3fff5849ecf  ([stack]+0xb2ecf)

SUMMARY: AddressSanitizer: heap-use-after-free /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/stl_iterator.h:1028 in __gnu_cxx::__normal_iterator<c10::Argument const*, std::vector<c10::Argument, std::allocator<c10::Argument> > >::__normal_iterator(c10::Argument const* const&)
Shadow bytes around the buggy address:
  0x100c1a000b4aa0: fd fd fd fd fd fd fd fd fd fd fd fa fa fa fa fa
  0x100c1a000b4ab0: fa fa fa fa fd fd fd fd fd fd fd fd fd fd fd fd
  0x100c1a000b4ac0: fd fd fd fd fd fa fa fa fa fa fa fa fa fa fd fd
  0x100c1a000b4ad0: fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fa
  0x100c1a000b4ae0: fa fa fa fa fa fa fa fa fd fd fd fd fd fd fd fd
=>0x100c1a000b4af0: fd fd[fd]fd fd fd fd fd fd fa fa fa fa fa fa fa
  0x100c1a000b4b00: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x100c1a000b4b10: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x100c1a000b4b20: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x100c1a000b4b30: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x100c1a000b4b40: 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
==1134126==ABORTING
```

Additional backtraces (not full):
Allocation:
```
#0  __memset_z196 () at ../sysdeps/s390/memset-z900.S:144
#1  0x000003ff96f3072a in __asan::Allocator::Allocate (this=this@entry=0x3ff97041eb8 <__asan::instance>, size=size@entry=136, alignment=8, alignment@entry=0, stack=<optimized out>,
    stack@entry=0x3ffdbb45d78, alloc_type=<optimized out>, can_fill=true) at /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_allocator.cpp:599
#2  0x000003ff96f2c088 in __asan::asan_memalign (alignment=alignment@entry=0, size=size@entry=136, stack=stack@entry=0x3ffdbb45d78, alloc_type=alloc_type@entry=__asan::FROM_NEW)
    at /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_allocator.cpp:1039
#3  0x000003ff96fb73b0 in operator new (size=136) at /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:99
#4  0x000003ff41404440 in __gnu_cxx::new_allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> >::allocate (this=0x3ffdbb468c0,
    __n=1) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/ext/new_allocator.h:127
#5  0x000003ff414042a0 in std::allocator_traits<std::allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> > >::allocate (__a=...,
    __n=1) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/alloc_traits.h:464
pytorch#6  0x000003ff41403b66 in std::__allocate_guarded<std::allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> > > (__a=...)
    at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/allocated_ptr.h:98
pytorch#7  0x000003ff4140372a in std::__shared_count<(__gnu_cxx::_Lock_policy)2>::__shared_count<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<c10::Argument, std::allocator<c10::Argument> >, std::vector<c10::Argument, std::allocator<c10::Argument> > > (this=0x3ffdbb47888, __p=@0x3ffdbb47880: 0x0, __a=..., __args=..., __args=..., __args=..., __args=...)
    at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:648
pytorch#8  0x000003ff41403328 in std::__shared_ptr<c10::FunctionSchema, (__gnu_cxx::_Lock_policy)2>::__shared_ptr<std::allocator<c10::FunctionSchema>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<c10::Argument, std::allocator<c10::Argument> >, std::vector<c10::Argument, std::allocator<c10::Argument> > > (this=0x3ffdbb47880, __tag=..., __args=..., __args=..., __args=..., __args=...) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:1342
pytorch#9  0x000003ff41402f06 in std::shared_ptr<c10::FunctionSchema>::shared_ptr<std::allocator<c10::FunctionSchema>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<c10::Argument, std::allocator<c10::Argument> >, std::vector<c10::Argument, std::allocator<c10::Argument> > > (
    this=0x3ffdbb47880, __tag=..., __args=..., __args=..., __args=..., __args=...) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr.h:409
pytorch#10 0x000003ff41402b6e in std::allocate_shared<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<c10::Argument, std::allocator<c10::Argument> >, std::vector<c10::Argument, std::allocator<c10::Argument> > > (__a=...,
    __args=..., __args=..., __args=..., __args=...) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr.h:862
pytorch#11 0x000003ff4140215c in std::make_shared<c10::FunctionSchema, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::vector<c10::Argument, std::allocator<c10::Argument> >, std::vector<c10::Argument, std::allocator<c10::Argument> > > (__args=..., __args=..., __args=..., __args=...)
    at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr.h:878
pytorch#12 0x000003ff413d180c in c10::TupleType::createWithSpec<c10::basic_string_view<char> > (qualName=..., field_names=std::vector of length 1, capacity 1 = {...},
    field_types=std::vector of length 1, capacity 1 = {...}, field_defaults=std::vector of length 0, capacity 0) at /home/user/pytorch/aten/src/ATen/core/type.cpp:769
pytorch#13 0x000003ff413b9ca6 in c10::TupleType::createNamed (qualName=..., field_names=std::vector of length 1, capacity 1 = {...}, field_types=std::vector of length 1, capacity 1 = {...})
    at /home/user/pytorch/aten/src/ATen/core/type.cpp:725
pytorch#14 0x000003ff4115fbac in c10::ivalue::TupleTypeFactory<c10::TupleType>::fallback (type=...) at /home/user/pytorch/aten/src/ATen/core/dynamic_type.cpp:383
pytorch#15 0x000003ff708217fe in c10::ivalue::Tuple::type<c10::TupleType> (this=0x6080004b8520) at /home/user/pytorch/aten/src/ATen/core/ivalue_inl.h:781
pytorch#16 0x000003ff70800740 in torch::jit::toPyObject (ivalue=...) at /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:613
pytorch#17 0x000003ff70800306 in torch::jit::toPyObject (ivalue=...) at /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:604
pytorch#18 0x000003ff702d6872 in pybind11::detail::type_caster<c10::IValue, void>::cast (src=...) at /home/user/pytorch/torch/csrc/jit/python/pybind.h:138
pytorch#19 0x000003ff70d98192 in pybind11::cpp_function::initialize<torch::jit::initJitScriptBindings(_object*)::$_45, c10::IValue, torch::jit::mobile::Module&, pybind11::tuple const&, pybind11::name, pybind11::is_method, pybind11::sibling, pybind11::arg>(torch::jit::initJitScriptBindings(_object*)::$_45&&, c10::IValue (*)(torch::jit::mobile::Module&, pybind11::tuple const&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&, pybind11::arg const&)::{lambda(pybind11::detail::function_call&)#1}::operator()(pybind11::detail::function_call&) const (this=0x3ffdbb4ca20, call=...)
    at /home/user/pytorch/cmake/../third_party/pybind11/include/pybind11/pybind11.h:249
pytorch#20 0x000003ff70d97cfe in pybind11::cpp_function::initialize<torch::jit::initJitScriptBindings(_object*)::$_45, c10::IValue, torch::jit::mobile::Module&, pybind11::tuple const&, pybind11::name, pybind11::is_method, pybind11::sibling, pybind11::arg>(torch::jit::initJitScriptBindings(_object*)::$_45&&, c10::IValue (*)(torch::jit::mobile::Module&, pybind11::tuple const&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&, pybind11::arg const&)::{lambda(pybind11::detail::function_call&)#1}::__invoke(pybind11::detail::function_call&) (call=...)
    at /home/user/pytorch/cmake/../third_party/pybind11/include/pybind11/pybind11.h:224
pytorch#21 0x000003ff6e9652ea in pybind11::cpp_function::dispatcher (self=<PyCapsule at remote 0x3ff83e27720>,
    args_in=(<torch._C.LiteScriptModule at remote 0x3ff811844b0>, (<Tensor at remote 0x3ff814efb00>,)), kwargs_in=0x0) at /home/user/pytorch/cmake/../third_party/pybind11/include/pybind11/pybind11.h:929
```

Deallocation:
```
#0  operator delete (ptr=0x60d0005a5740) at /var/tmp/portage/sys-devel/gcc-11.3.1_p20230303/work/gcc-11-20230303/libsanitizer/asan/asan_new_delete.cpp:160
#1  0x000003ff44904fdc in __gnu_cxx::new_allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> >::deallocate (this=0x3ffc5dc8020,
    __p=0x60d0005a5740, __t=1) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/ext/new_allocator.h:145
#2  0x000003ff44904fa8 in std::allocator_traits<std::allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> > >::deallocate (
    __a=..., __p=0x60d0005a5740, __n=1) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/alloc_traits.h:496
#3  0x000003ff449041f2 in std::__allocated_ptr<std::allocator<std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2> > >::~__allocated_ptr (
    this=0x3ffc5dc8030) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/allocated_ptr.h:74
#4  0x000003ff44904888 in std::_Sp_counted_ptr_inplace<c10::FunctionSchema, std::allocator<c10::FunctionSchema>, (__gnu_cxx::_Lock_policy)2>::_M_destroy (this=0x60d0005a5740)
    at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:538
#5  0x000003ff43895a62 in std::_Sp_counted_base<(__gnu_cxx::_Lock_policy)2>::_M_release (this=0x60d0005a5740) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:184
pytorch#6  0x000003ff43895420 in std::__shared_count<(__gnu_cxx::_Lock_policy)2>::~__shared_count (this=0x611000c40648) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:705
pytorch#7  0x000003ff4466e7f4 in std::__shared_ptr<c10::FunctionSchema, (__gnu_cxx::_Lock_policy)2>::~__shared_ptr (this=0x611000c40640)
    at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:1154
pytorch#8  0x000003ff4466d820 in std::shared_ptr<c10::FunctionSchema>::~shared_ptr (this=0x611000c40640) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr.h:122
pytorch#9  0x000003ff448d82f6 in c10::TupleType::~TupleType (this=0x611000c40580) at /home/user/pytorch/aten/src/ATen/core/jit_type.h:1142
pytorch#10 0x000003ff448d8346 in c10::TupleType::~TupleType (this=0x611000c40580) at /home/user/pytorch/aten/src/ATen/core/jit_type.h:1142
pytorch#11 0x000003ff731296a4 in std::_Sp_counted_ptr<c10::TupleType*, (__gnu_cxx::_Lock_policy)2>::_M_dispose (this=0x603000c43ae0)
    at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:348
pytorch#12 0x000003ff71eaf666 in std::_Sp_counted_base<(__gnu_cxx::_Lock_policy)2>::_M_release (this=0x603000c43ae0) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:168
pytorch#13 0x000003ff71eaf330 in std::__shared_count<(__gnu_cxx::_Lock_policy)2>::~__shared_count (this=0x3ffc5dc9368) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:705
pytorch#14 0x000003ff73129ee4 in std::__shared_ptr<c10::TupleType, (__gnu_cxx::_Lock_policy)2>::~__shared_ptr (this=0x3ffc5dc9360)
    at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr_base.h:1154
pytorch#15 0x000003ff73122390 in std::shared_ptr<c10::TupleType>::~shared_ptr (this=0x3ffc5dc9360) at /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/shared_ptr.h:122
pytorch#16 0x000003ff73d00788 in torch::jit::toPyObject (ivalue=...) at /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:613
pytorch#17 0x000003ff73d00306 in torch::jit::toPyObject (ivalue=...) at /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:604
```
</details>
Pull Request resolved: pytorch#101400
Approved by: https://github.com/zou3519
titaiwangms pushed a commit that referenced this pull request May 30, 2023
@AlekseiNikiforovIBM @pytorchmergebot
s390x simd: disable functions with out-of-bounds reads (pytorch#102266)
bcaa93e 
3 disabled functions are attempting out of bounds reads. Disable them until sleef library is fixed.

<details>
<summary>ASAN report</summary>

```
=================================================================
==2030580==ERROR: AddressSanitizer: global-buffer-overflow on address 0x03ff70f54570 at pc 0x03ff6704e960 bp 0x03ffce128940 sp 0x03ffce128930
READ of size 4 at 0x03ff70f54570 thread T0
    #0 0x3ff6704e95f in vgather_vf_p_vi2 /home/user/pytorch/third_party/sleef/src/arch/helpers390x_128.h:129
    #1 0x3ff6704e95f in rempif /home/user/pytorch/third_party/sleef/src/libm/sleefsimdsp.c:550
    #2 0x3ff6704e95f in Sleef_cosf4_u10vxe2 /home/user/pytorch/third_party/sleef/src/libm/sleefsimdsp.c:1021
    #3 0x3ff67029cfb in Sleef_cosf4_u10 /home/user/pytorch/build/sleef/src/libm/disps390x_128.c:182
    #4 0x3ff55d21941 in at::vec::ZVECTOR::Vectorized<float, void> at::vec::ZVECTOR::Vectorized<float, void>::mapSleef<float __vector(4) const (*)(float __vector(4)), double __vector(2) const (*)(double __
vector(2)), float, 0>(float __vector(4) const (*)(float __vector(4)), double __vector(2) const (*)(double __vector(2))) const /home/user/pytorch/aten/src/ATen/cpu/vec/vec256/zarch/vec256_zarch.h:991
    #5 0x3ff5689ad01 in at::vec::ZVECTOR::Vectorized<float, void>::cos() const /home/user/pytorch/aten/src/ATen/cpu/vec/vec256/zarch/vec256_zarch.h:1074
    pytorch#6 0x3ff5685df97 in at::vml::ZVECTOR::vcos<float>(float*, float const*, long)::{lambda(at::vec::ZVECTOR::Vectorized<float, void>)#1}::operator()(at::vec::ZVECTOR::Vectorized<float, void>) const /home/
user/pytorch/aten/src/ATen/cpu/vml.h:71
    pytorch#7 0x3ff5689b691 in void at::vec::map<float, at::vml::ZVECTOR::vcos<float>(float*, float const*, long)::{lambda(at::vec::ZVECTOR::Vectorized<float, void>)#1}, 0>(at::vml::ZVECTOR::vcos<float>(float*,
float const*, long)::{lambda(at::vec::ZVECTOR::Vectorized<float, void>)#1} const&, float*, float const*, long) /home/user/pytorch/aten/src/ATen/cpu/vec/functional_base.h:239
    pytorch#8 0x3ff5685e0df in void at::vml::ZVECTOR::vcos<float>(float*, float const*, long) /home/user/pytorch/aten/src/ATen/cpu/vml.h:71
    pytorch#9 0x3ff563fdde3 in operator() /home/user/pytorch/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp:770
    pytorch#10 0x3ff5648e4a3 in operator() /home/user/pytorch/aten/src/ATen/TensorIterator.h:406
    pytorch#11 0x3ff5663cae1 in callback_fn<at::TensorIteratorBase::loop_2d_from_1d<at::native::ZVECTOR::cos_kernel(at::TensorIteratorBase&)::<lambda()>::<lambda()>::<lambda(char**, const int64_t*, int64_t)> >(c
onst at::native::ZVECTOR::cos_kernel(at::TensorIteratorBase&)::<lambda()>::<lambda()>::<lambda(char**, const int64_t*, int64_t)>&)::<lambda(char**, const int64_t*, int64_t, int64_t)> > /home/user/pytorch/
c10/util/FunctionRef.h:43
    pytorch#12 0x3ff4d45a933 in c10::function_ref<void (char**, long const*, long, long)>::operator()(char**, long const*, long, long) const /home/user/pytorch/c10/util/FunctionRef.h:64
    pytorch#13 0x3ff4d455133 in at::internal::serial_for_each(c10::ArrayRef<long>, c10::ArrayRef<long>, char**, unsigned long, c10::function_ref<void (char**, long const*, long, long)>, at::Range) /home/user/pyt
orch/aten/src/ATen/TensorIteratorInternal.h:52
    pytorch#14 0x3ff4d43b703 in at::TensorIteratorBase::serial_for_each(c10::function_ref<void (char**, long const*, long, long)>, at::Range) const /home/user/pytorch/aten/src/ATen/TensorIterator.cpp:777
    pytorch#15 0x3ff4d43ab59 in at::TensorIteratorBase::for_each(c10::function_ref<void (char**, long const*, long, long)>, long) /home/user/pytorch/aten/src/ATen/TensorIterator.cpp:749
    pytorch#16 0x3ff5648e851 in for_each<at::native::ZVECTOR::cos_kernel(at::TensorIteratorBase&)::<lambda()>::<lambda()>::<lambda(char**, const int64_t*, int64_t)> > /home/user/pytorch/aten/src/ATen/TensorItera
tor.h:421
    pytorch#17 0x3ff563fe5f9 in operator() /home/user/pytorch/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp:770
    pytorch#18 0x3ff56400915 in operator() /home/user/pytorch/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp:770
    pytorch#19 0x3ff56400f1d in at::native::ZVECTOR::cos_kernel(at::TensorIteratorBase&) /home/user/pytorch/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp:770
    pytorch#20 0x3ff4f303007 in void at::native::DispatchStub<void (*)(at::TensorIteratorBase&), at::native::cos_stub>::operator()<at::native::structured_cos_out&>(c10::DeviceType, at::native::structured_cos_out
&) /home/user/pytorch/aten/src/ATen/native/DispatchStub.h:158
    pytorch#21 0x3ff4f2edb3f in at::native::structured_cos_out::impl(at::Tensor const&, at::Tensor const&) /home/user/pytorch/aten/src/ATen/native/UnaryOps.cpp:330
    pytorch#22 0x3ff526ef739 in wrapper_CPU_cos /home/user/pytorch/build/aten/src/ATen/RegisterCPU.cpp:4307
    pytorch#23 0x3ff52c651d9 in operator() /home/user/pytorch/aten/src/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h:13
    pytorch#24 0x3ff52c651d9 in call /home/user/pytorch/aten/src/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h:463
    pytorch#25 0x3ff5076df2f in at::Tensor c10::callUnboxedKernelFunction<at::Tensor, at::Tensor const&>(void*, c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&) /home/user/pytorch/aten/src/ATen/core
/boxing/KernelFunction_impl.h:50
    pytorch#26 0x3ff5009a93f in at::Tensor c10::KernelFunction::call<at::Tensor, at::Tensor const&>(c10::OperatorHandle const&, c10::DispatchKeySet, at::Tensor const&) const /home/user/pytorch/aten/src/ATen/core
/boxing/KernelFunction_impl.h:103
    pytorch#27 0x3ff5009a93f in at::Tensor c10::Dispatcher::call<at::Tensor, at::Tensor const&>(c10::TypedOperatorHandle<at::Tensor (at::Tensor const&)> const&, at::Tensor const&) const /home/user/pytorch/aten/s
rc/ATen/core/dispatch/Dispatcher.h:639
    pytorch#28 0x3ff5009a93f in c10::TypedOperatorHandle<at::Tensor (at::Tensor const&)>::call(at::Tensor const&) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:487
    pytorch#29 0x3ff5009a93f in at::_ops::cos::call(at::Tensor const&) /home/user/pytorch/build/aten/src/ATen/Operators_0.cpp:2215
    pytorch#30 0x3ff7d813741 in at::Tensor::cos() const /home/user/pytorch/build/aten/src/ATen/core/TensorBody.h:2107
    pytorch#31 0x3ff7dc0f2b7 in operator() /home/user/pytorch/torch/csrc/autograd/generated/python_torch_functions_2.cpp:2953
    pytorch#32 0x3ff7dc0faf7 in THPVariable_cos /home/user/pytorch/torch/csrc/autograd/generated/python_torch_functions_2.cpp:2955
    pytorch#33 0x3ffa5ef5ae1 in cfunction_call Objects/methodobject.c:543
    pytorch#34 0x3ffa5e843f3 in _PyObject_Call Objects/call.c:305
    pytorch#35 0x3ffa5e84483 in PyObject_Call Objects/call.c:317
    pytorch#36 0x3ffa5feb50d in do_call_core Python/ceval.c:5915
    pytorch#37 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    pytorch#38 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    pytorch#39 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065
    pytorch#40 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342
    pytorch#41 0x3ffa5e841fb in PyVectorcall_Call Objects/call.c:255
    pytorch#42 0x3ffa5e84347 in _PyObject_Call Objects/call.c:290
    pytorch#43 0x3ffa5e84483 in PyObject_Call Objects/call.c:317
    pytorch#44 0x3ff7f87a393 in torch::impl::dispatch::PythonKernelHolder::operator()(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) /home/user/pytorch/
torch/csrc/utils/python_dispatch.cpp:175
    pytorch#45 0x3ff7f8871a7 in c10::BoxedKernel::makeFromFunctor<torch::impl::dispatch::PythonKernelHolder>(std::unique_ptr<torch::impl::dispatch::PythonKernelHolder, std::default_delete<torch::impl::dispatch::
PythonKernelHolder> >)::{lambda(c10::OperatorKernel*, c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*)#1}::operator()(c10::OperatorKernel*, c10::Op
eratorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const /home/user/pytorch/aten/src/ATen/core/boxing/BoxedKernel_impl.h:87
    pytorch#46 0x3ff7f887261 in c10::BoxedKernel::makeFromFunctor<torch::impl::dispatch::PythonKernelHolder>(std::unique_ptr<torch::impl::dispatch::PythonKernelHolder, std::default_delete<torch::impl::dispatch::
PythonKernelHolder> >)::{lambda(c10::OperatorKernel*, c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*)#1}::_FUN(c10::OperatorKernel*, c10::Operator
Handle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) /home/user/pytorch/aten/src/ATen/core/boxing/BoxedKernel_impl.h:86
    pytorch#47 0x3ff7e0d10ab in c10::BoxedKernel::callBoxed(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const /home/user/pytorch/aten/src/ATen/core/b
oxing/BoxedKernel_impl.h:41
    pytorch#48 0x3ff7e0d1459 in c10::KernelFunction::callBoxed(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const /home/user/pytorch/aten/src/ATen/cor
e/boxing/KernelFunction_impl.h:43
    pytorch#49 0x3ff7f876421 in c10::Dispatcher::callBoxed(c10::OperatorHandle const&, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:6
91
    pytorch#50 0x3ff4d22bcdd in c10::OperatorHandle::callBoxed(std::vector<c10::IValue, std::allocator<c10::IValue> >*) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:417
    pytorch#51 0x3ff65a092d5 in c10::OperatorHandle::callBoxed(std::vector<c10::IValue, std::allocator<c10::IValue> >&) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:421
    pytorch#52 0x3ff65a05641 in operator() /home/user/pytorch/torch/csrc/jit/runtime/register_c10_ops.cpp:15
    pytorch#53 0x3ff65a08cb5 in __invoke_impl<void, torch::jit::(anonymous namespace)::createOperatorFromC10(const c10::OperatorHandle&)::<lambda(torch::jit::Stack&)>&, std::vector<c10::IValue, std::allocator<c1
0::IValue> >&> /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/invoke.h:61
    pytorch#54 0x3ff65a0897b in __invoke_r<void, torch::jit::(anonymous namespace)::createOperatorFromC10(const c10::OperatorHandle&)::<lambda(torch::jit::Stack&)>&, std::vector<c10::IValue, std::allocator<c10::
IValue> >&> /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/invoke.h:111
    pytorch#55 0x3ff65a084e1 in _M_invoke /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/std_function.h:290
    pytorch#56 0x3ff7eb2cb21 in std::function<void (std::vector<c10::IValue, std::allocator<c10::IValue> >&)>::operator()(std::vector<c10::IValue, std::allocator<c10::IValue> >&) const /usr/lib/gcc/s390x-ibm-lin
ux-gnu/11/include/g++-v11/bits/std_function.h:590
    pytorch#57 0x3ff7eb1b659 in torch::jit::Operation::operator()(std::vector<c10::IValue, std::allocator<c10::IValue> >&) /home/user/pytorch/aten/src/ATen/core/stack.h:41
    pytorch#58 0x3ff7eb08449 in torch::jit::invokeOperatorFromPython(std::vector<std::shared_ptr<torch::jit::Operator>, std::allocator<std::shared_ptr<torch::jit::Operator> > > const&, pybind11::args, pybind11::
kwargs const&, c10::optional<c10::DispatchKey>) /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:764
    pytorch#59 0x3ff7eb09d85 in torch::jit::_get_operation_for_overload_or_packet(std::vector<std::shared_ptr<torch::jit::Operator>, std::allocator<std::shared_ptr<torch::jit::Operator> > > const&, c10::Symbol,
pybind11::args, pybind11::kwargs const&, bool, c10::optional<c10::DispatchKey>) /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:829
    pytorch#60 0x3ff7e573eb9 in operator() /home/user/pytorch/torch/csrc/jit/python/init.cpp:1549
    pytorch#61 0x3ff7e6728dd in call_impl<pybind11::object, torch::jit::initJITBindings(PyObject*)::<lambda(const string&, const string&)>::<lambda(pybind11::args, pybind11::kwargs)>&, 0, 1, pybind11::detail::vo
id_type> /home/user/pytorch/third_party/pybind11/include/pybind11/cast.h:1439
    pytorch#62 0x3ff7e64312f in call<pybind11::object, pybind11::detail::void_type, torch::jit::initJITBindings(PyObject*)::<lambda(const string&, const string&)>::<lambda(pybind11::args, pybind11::kwargs)>&> /h
ome/user/pytorch/third_party/pybind11/include/pybind11/cast.h:1408
    pytorch#63 0x3ff7e5da259 in operator() /home/user/pytorch/third_party/pybind11/include/pybind11/pybind11.h:249
    pytorch#64 0x3ff7e5da441 in _FUN /home/user/pytorch/third_party/pybind11/include/pybind11/pybind11.h:224
    pytorch#65 0x3ff7d317a1f in pybind11::cpp_function::dispatcher(_object*, _object*, _object*) /home/user/pytorch/third_party/pybind11/include/pybind11/pybind11.h:929
    pytorch#66 0x3ffa5ef5ae1 in cfunction_call Objects/methodobject.c:543
    pytorch#67 0x3ffa5e843f3 in _PyObject_Call Objects/call.c:305
    pytorch#68 0x3ffa5e84483 in PyObject_Call Objects/call.c:317
    pytorch#69 0x3ffa5feb50d in do_call_core Python/ceval.c:5915
    pytorch#70 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    pytorch#71 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    pytorch#72 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065
    pytorch#73 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342
    pytorch#74 0x3ffa5e83d1f in _PyObject_FastCallDictTstate Objects/call.c:142
    pytorch#75 0x3ffa5e84937 in _PyObject_Call_Prepend Objects/call.c:431
    pytorch#76 0x3ffa5f2f577 in slot_tp_call Objects/typeobject.c:7494
    pytorch#77 0x3ffa5e843f3 in _PyObject_Call Objects/call.c:305
    pytorch#78 0x3ffa5e84483 in PyObject_Call Objects/call.c:317
    pytorch#79 0x3ffa5feb7cf in do_call_core Python/ceval.c:5943
    pytorch#80 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    pytorch#81 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    pytorch#82 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065
    pytorch#83 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342
    pytorch#84 0x3ffa5fd76a3 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    pytorch#85 0x3ffa5fd772f in PyObject_Vectorcall Include/cpython/abstract.h:123
    pytorch#86 0x3ffa5feb289 in call_function Python/ceval.c:5891
    pytorch#87 0x3ffa5fe5c3b in _PyEval_EvalFrameDefault Python/ceval.c:4213
    pytorch#88 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    pytorch#89 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065
    pytorch#90 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342
    pytorch#91 0x3ffa5e841fb in PyVectorcall_Call Objects/call.c:255
    pytorch#92 0x3ffa5e84347 in _PyObject_Call Objects/call.c:290
    pytorch#93 0x3ffa5e84483 in PyObject_Call Objects/call.c:317
    pytorch#94 0x3ffa5feb7cf in do_call_core Python/ceval.c:5943
    pytorch#95 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    pytorch#96 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    pytorch#97 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065
    pytorch#98 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342
    pytorch#99 0x3ffa5e841fb in PyVectorcall_Call Objects/call.c:255
    pytorch#100 0x3ffa5e84347 in _PyObject_Call Objects/call.c:290
    pytorch#101 0x3ffa5e84483 in PyObject_Call Objects/call.c:317
    pytorch#102 0x3ff7f87a393 in torch::impl::dispatch::PythonKernelHolder::operator()(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) /home/user/pytorch
/torch/csrc/utils/python_dispatch.cpp:175
    pytorch#103 0x3ff7f8871a7 in c10::BoxedKernel::makeFromFunctor<torch::impl::dispatch::PythonKernelHolder>(std::unique_ptr<torch::impl::dispatch::PythonKernelHolder, std::default_delete<torch::impl::dispatch:
:PythonKernelHolder> >)::{lambda(c10::OperatorKernel*, c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*)#1}::operator()(c10::OperatorKernel*, c10::O
peratorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const /home/user/pytorch/aten/src/ATen/core/boxing/BoxedKernel_impl.h:87
    pytorch#104 0x3ff7f887261 in c10::BoxedKernel::makeFromFunctor<torch::impl::dispatch::PythonKernelHolder>(std::unique_ptr<torch::impl::dispatch::PythonKernelHolder, std::default_delete<torch::impl::dispatch:
:PythonKernelHolder> >)::{lambda(c10::OperatorKernel*, c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*)#1}::_FUN(c10::OperatorKernel*, c10::Operato
rHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) /home/user/pytorch/aten/src/ATen/core/boxing/BoxedKernel_impl.h:86
    pytorch#105 0x3ff7e0d10ab in c10::BoxedKernel::callBoxed(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const /home/user/pytorch/aten/src/ATen/core/
boxing/BoxedKernel_impl.h:41
    pytorch#106 0x3ff7e0d1459 in c10::KernelFunction::callBoxed(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const /home/user/pytorch/aten/src/ATen/co
re/boxing/KernelFunction_impl.h:43
    pytorch#107 0x3ff7f876421 in c10::Dispatcher::callBoxed(c10::OperatorHandle const&, std::vector<c10::IValue, std::allocator<c10::IValue> >*) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:
691
    pytorch#108 0x3ff4d22bcdd in c10::OperatorHandle::callBoxed(std::vector<c10::IValue, std::allocator<c10::IValue> >*) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:417
    pytorch#109 0x3ff65a092d5 in c10::OperatorHandle::callBoxed(std::vector<c10::IValue, std::allocator<c10::IValue> >&) const /home/user/pytorch/aten/src/ATen/core/dispatch/Dispatcher.h:421
    pytorch#110 0x3ff65a05641 in operator() /home/user/pytorch/torch/csrc/jit/runtime/register_c10_ops.cpp:15
    pytorch#111 0x3ff65a08cb5 in __invoke_impl<void, torch::jit::(anonymous namespace)::createOperatorFromC10(const c10::OperatorHandle&)::<lambda(torch::jit::Stack&)>&, std::vector<c10::IValue, std::allocator<c
10::IValue> >&> /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/invoke.h:61
    pytorch#112 0x3ff65a0897b in __invoke_r<void, torch::jit::(anonymous namespace)::createOperatorFromC10(const c10::OperatorHandle&)::<lambda(torch::jit::Stack&)>&, std::vector<c10::IValue, std::allocator<c10:
:IValue> >&> /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/invoke.h:111
    pytorch#113 0x3ff65a084e1 in _M_invoke /usr/lib/gcc/s390x-ibm-linux-gnu/11/include/g++-v11/bits/std_function.h:290
    pytorch#114 0x3ff7eb2cb21 in std::function<void (std::vector<c10::IValue, std::allocator<c10::IValue> >&)>::operator()(std::vector<c10::IValue, std::allocator<c10::IValue> >&) const /usr/lib/gcc/s390x-ibm-li
nux-gnu/11/include/g++-v11/bits/std_function.h:590
    pytorch#115 0x3ff7eb1b659 in torch::jit::Operation::operator()(std::vector<c10::IValue, std::allocator<c10::IValue> >&) /home/user/pytorch/aten/src/ATen/core/stack.h:41
    pytorch#116 0x3ff7eb08449 in torch::jit::invokeOperatorFromPython(std::vector<std::shared_ptr<torch::jit::Operator>, std::allocator<std::shared_ptr<torch::jit::Operator> > > const&, pybind11::args, pybind11:
:kwargs const&, c10::optional<c10::DispatchKey>) /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:764
    pytorch#117 0x3ff7eb09d85 in torch::jit::_get_operation_for_overload_or_packet(std::vector<std::shared_ptr<torch::jit::Operator>, std::allocator<std::shared_ptr<torch::jit::Operator> > > const&, c10::Symbol,
 pybind11::args, pybind11::kwargs const&, bool, c10::optional<c10::DispatchKey>) /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:829
    pytorch#118 0x3ff7e573eb9 in operator() /home/user/pytorch/torch/csrc/jit/python/init.cpp:1549
    pytorch#119 0x3ff7e6728dd in call_impl<pybind11::object, torch::jit::initJITBindings(PyObject*)::<lambda(const string&, const string&)>::<lambda(pybind11::args, pybind11::kwargs)>&, 0, 1, pybind11::detail::v
oid_type> /home/user/pytorch/third_party/pybind11/include/pybind11/cast.h:1439
    pytorch#120 0x3ff7e64312f in call<pybind11::object, pybind11::detail::void_type, torch::jit::initJITBindings(PyObject*)::<lambda(const string&, const string&)>::<lambda(pybind11::args, pybind11::kwargs)>&> /
home/user/pytorch/third_party/pybind11/include/pybind11/cast.h:1408
    pytorch#121 0x3ff7e5da259 in operator() /home/user/pytorch/third_party/pybind11/include/pybind11/pybind11.h:249
    pytorch#122 0x3ff7e5da441 in _FUN /home/user/pytorch/third_party/pybind11/include/pybind11/pybind11.h:224
    pytorch#123 0x3ff7d317a1f in pybind11::cpp_function::dispatcher(_object*, _object*, _object*) /home/user/pytorch/third_party/pybind11/include/pybind11/pybind11.h:929
    pytorch#124 0x3ffa5ef5ae1 in cfunction_call Objects/methodobject.c:543
    pytorch#125 0x3ffa5e843f3 in _PyObject_Call Objects/call.c:305
    pytorch#126 0x3ffa5e84483 in PyObject_Call Objects/call.c:317
    pytorch#127 0x3ffa5feb50d in do_call_core Python/ceval.c:5915
    pytorch#128 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    pytorch#129 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    pytorch#130 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065
    pytorch#131 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342
    pytorch#132 0x3ffa5e83d1f in _PyObject_FastCallDictTstate Objects/call.c:142
    pytorch#133 0x3ffa5e84937 in _PyObject_Call_Prepend Objects/call.c:431
    pytorch#134 0x3ffa5f2f577 in slot_tp_call Objects/typeobject.c:7494
    pytorch#135 0x3ffa5e843f3 in _PyObject_Call Objects/call.c:305
    pytorch#136 0x3ffa5e84483 in PyObject_Call Objects/call.c:317
    pytorch#137 0x3ffa5feb7cf in do_call_core Python/ceval.c:5943
    pytorch#138 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    pytorch#139 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    pytorch#140 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065
    pytorch#141 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342
    pytorch#142 0x3ffa5e87d2b in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    pytorch#143 0x3ffa5e882dd in method_vectorcall Objects/classobject.c:83
    pytorch#144 0x3ffa5e836d3 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    pytorch#145 0x3ffa5e84b6f in _PyObject_CallFunctionVa Objects/call.c:485
    pytorch#146 0x3ffa5e84f2d in callmethod Objects/call.c:557
    pytorch#147 0x3ffa5e85039 in PyObject_CallMethod Objects/call.c:577
    pytorch#148 0x3ff7f7efa05 in torch::handle_torch_function_no_python_arg_parser(c10::ArrayRef<pybind11::handle>, _object*, _object*, char const*, _object*, char const*, torch::TorchFunctionName) /home/user/py
torch/torch/csrc/utils/python_arg_parser.cpp:338
    pytorch#149 0x3ff7eb09b67 in torch::jit::_get_operation_for_overload_or_packet(std::vector<std::shared_ptr<torch::jit::Operator>, std::allocator<std::shared_ptr<torch::jit::Operator> > > const&, c10::Symbol,
 pybind11::args, pybind11::kwargs const&, bool, c10::optional<c10::DispatchKey>) /home/user/pytorch/torch/csrc/jit/python/pybind_utils.cpp:827
    pytorch#150 0x3ff7e573eb9 in operator() /home/user/pytorch/torch/csrc/jit/python/init.cpp:1549
    pytorch#151 0x3ff7e6728dd in call_impl<pybind11::object, torch::jit::initJITBindings(PyObject*)::<lambda(const string&, const string&)>::<lambda(pybind11::args, pybind11::kwargs)>&, 0, 1, pybind11::detail::v
oid_type> /home/user/pytorch/third_party/pybind11/include/pybind11/cast.h:1439
    pytorch#152 0x3ff7e64312f in call<pybind11::object, pybind11::detail::void_type, torch::jit::initJITBindings(PyObject*)::<lambda(const string&, const string&)>::<lambda(pybind11::args, pybind11::kwargs)>&> /
home/user/pytorch/third_party/pybind11/include/pybind11/cast.h:1408
    pytorch#153 0x3ff7e5da259 in operator() /home/user/pytorch/third_party/pybind11/include/pybind11/pybind11.h:249
    pytorch#154 0x3ff7e5da441 in _FUN /home/user/pytorch/third_party/pybind11/include/pybind11/pybind11.h:224
    pytorch#155 0x3ff7d317a1f in pybind11::cpp_function::dispatcher(_object*, _object*, _object*) /home/user/pytorch/third_party/pybind11/include/pybind11/pybind11.h:929
    pytorch#156 0x3ffa5ef5ae1 in cfunction_call Objects/methodobject.c:543
    pytorch#157 0x3ffa5e843f3 in _PyObject_Call Objects/call.c:305
    pytorch#158 0x3ffa5e84483 in PyObject_Call Objects/call.c:317
    pytorch#159 0x3ffa5feb50d in do_call_core Python/ceval.c:5915
    pytorch#160 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    pytorch#161 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    pytorch#162 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065
    pytorch#163 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342
    pytorch#164 0x3ffa5e83d1f in _PyObject_FastCallDictTstate Objects/call.c:142
    pytorch#165 0x3ffa5e84937 in _PyObject_Call_Prepend Objects/call.c:431
    pytorch#166 0x3ffa5f2f577 in slot_tp_call Objects/typeobject.c:7494
    pytorch#167 0x3ffa5e84027 in _PyObject_MakeTpCall Objects/call.c:215
    pytorch#168 0x3ffa5fd767b in _PyObject_VectorcallTstate Include/cpython/abstract.h:112
    pytorch#169 0x3ffa5fd772f in PyObject_Vectorcall Include/cpython/abstract.h:123
    pytorch#170 0x3ffa5feb289 in call_function Python/ceval.c:5891
    pytorch#171 0x3ffa5fe5ad1 in _PyEval_EvalFrameDefault Python/ceval.c:4181
    pytorch#172 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    pytorch#173 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065
    pytorch#174 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342
    pytorch#175 0x3ffa5fd76a3 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    pytorch#176 0x3ffa5fd772f in PyObject_Vectorcall Include/cpython/abstract.h:123
    pytorch#177 0x3ffa5feb289 in call_function Python/ceval.c:5891
    pytorch#178 0x3ffa5fe5c3b in _PyEval_EvalFrameDefault Python/ceval.c:4213
    pytorch#179 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    pytorch#180 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065
    pytorch#181 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342
    pytorch#182 0x3ffa5e8427f in PyVectorcall_Call Objects/call.c:267
    pytorch#183 0x3ffa5e84347 in _PyObject_Call Objects/call.c:290
    pytorch#184 0x3ffa5e84483 in PyObject_Call Objects/call.c:317
    pytorch#185 0x3ffa5feb7cf in do_call_core Python/ceval.c:5943
    pytorch#186 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    pytorch#187 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    pytorch#188 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065
    pytorch#189 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342
    pytorch#190 0x3ffa5e841fb in PyVectorcall_Call Objects/call.c:255
    pytorch#191 0x3ffa5e84347 in _PyObject_Call Objects/call.c:290
    pytorch#192 0x3ffa5e84483 in PyObject_Call Objects/call.c:317
    pytorch#193 0x3ffa5feb7cf in do_call_core Python/ceval.c:5943
    pytorch#194 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    pytorch#195 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    pytorch#196 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065
    pytorch#197 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342
    pytorch#198 0x3ffa5e841fb in PyVectorcall_Call Objects/call.c:255
    pytorch#199 0x3ffa5e84347 in _PyObject_Call Objects/call.c:290
    pytorch#200 0x3ffa5e84483 in PyObject_Call Objects/call.c:317
    pytorch#201 0x3ffa5feb7cf in do_call_core Python/ceval.c:5943
    pytorch#202 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    pytorch#203 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    pytorch#204 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065
    pytorch#205 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342
    pytorch#206 0x3ffa5e841fb in PyVectorcall_Call Objects/call.c:255
    pytorch#207 0x3ffa5e84347 in _PyObject_Call Objects/call.c:290
    pytorch#208 0x3ffa5e84483 in PyObject_Call Objects/call.c:317
    pytorch#209 0x3ffa5feb7cf in do_call_core Python/ceval.c:5943
    pytorch#210 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    pytorch#211 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    pytorch#212 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065
    pytorch#213 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342
    pytorch#214 0x3ffa5e83d1f in _PyObject_FastCallDictTstate Objects/call.c:142
    pytorch#215 0x3ffa5e84937 in _PyObject_Call_Prepend Objects/call.c:431
    pytorch#216 0x3ffa5f2f577 in slot_tp_call Objects/typeobject.c:7494
    pytorch#217 0x3ffa5e843f3 in _PyObject_Call Objects/call.c:305
    pytorch#218 0x3ffa5e84483 in PyObject_Call Objects/call.c:317
    pytorch#219 0x3ffa5feb7cf in do_call_core Python/ceval.c:5943
    pytorch#220 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    pytorch#221 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    pytorch#222 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065
    pytorch#223 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342
    pytorch#224 0x3ffa5fd76a3 in _PyObject_VectorcallTstate Include/cpython/abstract.h:114
    pytorch#225 0x3ffa5fd772f in PyObject_Vectorcall Include/cpython/abstract.h:123
    pytorch#226 0x3ffa5feb289 in call_function Python/ceval.c:5891
    pytorch#227 0x3ffa5fe5b21 in _PyEval_EvalFrameDefault Python/ceval.c:4198
    pytorch#228 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    pytorch#229 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065
    pytorch#230 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342
    pytorch#231 0x3ffa5e8427f in PyVectorcall_Call Objects/call.c:267
    pytorch#232 0x3ffa5e84347 in _PyObject_Call Objects/call.c:290
    pytorch#233 0x3ffa5e84483 in PyObject_Call Objects/call.c:317
    pytorch#234 0x3ffa5feb7cf in do_call_core Python/ceval.c:5943
    pytorch#235 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    pytorch#236 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    pytorch#237 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065
    pytorch#238 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342
    pytorch#239 0x3ffa5e8427f in PyVectorcall_Call Objects/call.c:267
    pytorch#240 0x3ffa5e84347 in _PyObject_Call Objects/call.c:290
    pytorch#241 0x3ffa5e84483 in PyObject_Call Objects/call.c:317
    pytorch#242 0x3ffa5feb7cf in do_call_core Python/ceval.c:5943
    pytorch#243 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    pytorch#244 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    pytorch#245 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065
    pytorch#246 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342
    pytorch#247 0x3ffa5e8427f in PyVectorcall_Call Objects/call.c:267
    pytorch#248 0x3ffa5e84347 in _PyObject_Call Objects/call.c:290
    pytorch#249 0x3ffa5e84483 in PyObject_Call Objects/call.c:317
    pytorch#250 0x3ffa5feb7cf in do_call_core Python/ceval.c:5943
    pytorch#251 0x3ffa5fe6019 in _PyEval_EvalFrameDefault Python/ceval.c:4277
    pytorch#252 0x3ffa5fd7aed in _PyEval_EvalFrame Include/internal/pycore_ceval.h:46
    pytorch#253 0x3ffa5fe8ba9 in _PyEval_Vector Python/ceval.c:5065
    pytorch#254 0x3ffa5e8459b in _PyFunction_Vectorcall Objects/call.c:342
    pytorch#255 0x3ffa5e8427f in PyVectorcall_Call Objects/call.c:267

0x03ff70f54570 is located 0 bytes to the right of global variable 'Sleef_rempitabsp' defined in '/home/user/pytorch/third_party/sleef/src/libm/rempitab.c:986:34' (0x3ff70f53f00) of size 1648
SUMMARY: AddressSanitizer: global-buffer-overflow /home/user/pytorch/third_party/sleef/src/arch/helpers390x_128.h:129 in vgather_vf_p_vi2
Shadow bytes around the buggy address:
  0x10007fee1ea850: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x10007fee1ea860: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x10007fee1ea870: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x10007fee1ea880: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x10007fee1ea890: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
=>0x10007fee1ea8a0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00[f9]f9
  0x10007fee1ea8b0: f9 f9 f9 f9 00 00 00 00 00 00 00 00 00 00 00 00
  0x10007fee1ea8c0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x10007fee1ea8d0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x10007fee1ea8e0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x10007fee1ea8f0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
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
==2030580==ABORTING
```
</details>

It reproduces when running `pytest -v test/test_ops.py -k test_python_ref__refs_cos_cpu_bfloat16` under address sanitizer on s390x.

See also: shibatch/sleef#464

Pull Request resolved: pytorch#102266
Approved by: https://github.com/malfet
titaiwangms pushed a commit that referenced this pull request May 30, 2023
@apach301 @pytorchmergebot
Add security guards to avoid crashes in torch::jit module (pytorch#10…
c9f4f01 
…2156)

Hi!

I've been fuzzing different pytorch modules with with [sydr-fuzz](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch), and found a multiple crashes in torch::jit::load() function.

All found errors could be reproduced with provided docker: [Dockerfile](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch).

### Crash in torch/csrc/jit/unpickler.cpp:1075

[crash-1f59083b8396c5b62b4705c7556e68f129e833b1.zip](https://github.com/pytorch/pytorch/files/11552947/crash-1f59083b8396c5b62b4705c7556e68f129e833b1.zip)

```asan
    "#0  0x00007ffff7a5600b in raise () from /lib/x86_64-linux-gnu/libc.so.6",
    "#1  0x00007ffff7a35859 in abort () from /lib/x86_64-linux-gnu/libc.so.6",
    "#2  0x00007ffff7ce3911 in ?? () from /lib/x86_64-linux-gnu/libstdc++.so.6",
    "#3  0x00007ffff7cef38c in ?? () from /lib/x86_64-linux-gnu/libstdc++.so.6",
    "#4  0x00007ffff7cef3f7 in std::terminate() () from /lib/x86_64-linux-gnu/libstdc++.so.6",
    "#5  0x00007ffff7cef6a9 in __cxa_throw () from /lib/x86_64-linux-gnu/libstdc++.so.6",
    "pytorch#6  0x00007ffff7ce6326 in std::__throw_length_error(char const*) () from /lib/x86_64-linux-gnu/libstdc++.so.6",
    "pytorch#7  0x00007ffff7d87edc in std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >::_M_create(unsigned long&, unsigned long) () from /lib/x86_64-linux-gnu/libstdc++.so.6",
    "pytorch#8  0x00007ffff7d88880 in std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >::reserve(unsigned long) () from /lib/x86_64-linux-gnu/libstdc++.so.6",
    "pytorch#9  0x000000000ea52931 in torch::jit::Unpickler::readBytes[abi:cxx11](unsigned long) (this=this@entry=0x7fffffffac10, length=length@entry=8358680908539635837) at /pytorch/torch/csrc/jit/serialization/unpickler.cpp:1075",
    "pytorch#10 0x000000000ea4c3a0 in torch::jit::Unpickler::readInstruction (this=0x7fffffff90d0) at /pytorch/torch/csrc/jit/serialization/unpickler.cpp:355",
    "pytorch#11 0x000000000ea49eb8 in torch::jit::Unpickler::run (this=0x7fffffffac10) at /pytorch/torch/csrc/jit/serialization/unpickler.cpp:251",
    "pytorch#12 0x000000000ea49b12 in torch::jit::Unpickler::parse_ivalue (this=0x7fffffffac10) at /pytorch/torch/csrc/jit/serialization/unpickler.cpp:204",
    "pytorch#13 0x000000000e960a9f in torch::jit::readArchiveAndTensors(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<std::function<c10::StrongTypePtr (c10::QualifiedName const&)> >, c10::optional<std::function<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> > (c10::StrongTypePtr, c10::IValue)> >, c10::optional<c10::Device>, caffe2::serialize::PyTorchStreamReader&, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&), std::shared_ptr<torch::jit::DeserializationStorageContext>) (archive_name=..., pickle_prefix=..., tensor_prefix=..., type_resolver=..., obj_loader=..., device=..., stream_reader=..., type_parser=<optimized out>, storage_context=...) at /pytorch/torch/csrc/jit/serialization/import_read.cpp:53",
    "pytorch#14 0x000000000e8ef599 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive (this=0x7fffffffbc60, archive_name=...) at /pytorch/torch/csrc/jit/serialization/import.cpp:184",
    "pytorch#15 0x000000000e8eb886 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::deserialize (this=<optimized out>, device=..., extra_files=..., restore_shapes=<optimized out>) at /pytorch/torch/csrc/jit/serialization/import.cpp:287",
    "pytorch#16 0x000000000e8e9cc5 in torch::jit::import_ir_module (cu=..., in=..., device=..., extra_files=..., load_debug_files=<optimized out>, restore_shapes=<optimized out>) at /pytorch/torch/csrc/jit/serialization/import.cpp:386",
    "pytorch#17 0x000000000e8f37bf in torch::jit::import_ir_module (cu=..., in=..., device=..., load_debug_files=<optimized out>) at /pytorch/torch/csrc/jit/serialization/import.cpp:322",
    "pytorch#18 0x000000000e8f615a in torch::jit::load (in=..., device=..., load_debug_files=<optimized out>) at /pytorch/torch/csrc/jit/serialization/import.cpp:482",
    "pytorch#19 0x00000000005c2d61 in LLVMFuzzerTestOneInput (data=<optimized out>, size=1663) at /load.cc:42",
    "pytorch#20 0x00000000005c2a8e in ExecuteFilesOnyByOne (argc=2, argv=0x7fffffffc6b8, callback=callback@entry=0x5c2ae0 <LLVMFuzzerTestOneInput(uint8_t const*, size_t)>) at /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:255",
    "pytorch#21 0x00000000005c2899 in LLVMFuzzerRunDriver (argcp=argcp@entry=0x7fffffffc5b4, argvp=argvp@entry=0x7fffffffc5b8, callback=0x5c2ae0 <LLVMFuzzerTestOneInput(uint8_t const*, size_t)>) at /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:364",
    "pytorch#22 0x00000000005c2459 in main (argc=2, argv=0x7fffffffc6b8) at /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:300"

```

### Crash in torch/csrc/jit/unpickler.cpp:386

[crash-2e9923de375c393e700e8c0441f0ebe8252ca364.zip](https://github.com/pytorch/pytorch/files/11552950/crash-2e9923de375c393e700e8c0441f0ebe8252ca364.zip)

```asan
    "#0  0x00007ffff7a5600b in raise () from /lib/x86_64-linux-gnu/libc.so.6",
    "#1  0x00007ffff7a35859 in abort () from /lib/x86_64-linux-gnu/libc.so.6",
    "#2  0x00007ffff7ce3911 in ?? () from /lib/x86_64-linux-gnu/libstdc++.so.6",
    "#3  0x00007ffff7cef38c in ?? () from /lib/x86_64-linux-gnu/libstdc++.so.6",
    "#4  0x00007ffff7cef3f7 in std::terminate() () from /lib/x86_64-linux-gnu/libstdc++.so.6",
    "#5  0x00007ffff7cef6a9 in __cxa_throw () from /lib/x86_64-linux-gnu/libstdc++.so.6",
    "pytorch#6  0x00007ffff7ce6326 in std::__throw_length_error(char const*) () from /lib/x86_64-linux-gnu/libstdc++.so.6",
    "pytorch#7  0x0000000000670aff in std::vector<c10::IValue, std::allocator<c10::IValue> >::reserve (this=this@entry=0x7fffffff9750, __n=__n@entry=18446744073709551614) at /usr/include/c++/10/bits/vector.tcc:70",
    "pytorch#8  0x000000000ea4d5cd in torch::jit::Unpickler::readInstruction (this=0x7fffffffac10) at /pytorch/torch/csrc/jit/serialization/unpickler.cpp:386",
    "pytorch#9  0x000000000ea49eb8 in torch::jit::Unpickler::run (this=0x7fffffffac10) at /pytorch/torch/csrc/jit/serialization/unpickler.cpp:251",
    "pytorch#10 0x000000000ea49b12 in torch::jit::Unpickler::parse_ivalue (this=0x7fffffffac10) at /pytorch/torch/csrc/jit/serialization/unpickler.cpp:204",
    "pytorch#11 0x000000000e960a9f in torch::jit::readArchiveAndTensors(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<std::function<c10::StrongTypePtr (c10::QualifiedName const&)> >, c10::optional<std::function<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> > (c10::StrongTypePtr, c10::IValue)> >, c10::optional<c10::Device>, caffe2::serialize::PyTorchStreamReader&, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&), std::shared_ptr<torch::jit::DeserializationStorageContext>) (archive_name=..., pickle_prefix=..., tensor_prefix=..., type_resolver=..., obj_loader=..., device=..., stream_reader=..., type_parser=<optimized out>, storage_context=...) at /pytorch/torch/csrc/jit/serialization/import_read.cpp:53",
    "pytorch#12 0x000000000e8ef599 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive (this=0x7fffffffbc60, archive_name=...) at /pytorch/torch/csrc/jit/serialization/import.cpp:184",
    "pytorch#13 0x000000000e8eb886 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::deserialize (this=<optimized out>, device=..., extra_files=..., restore_shapes=<optimized out>) at /pytorch/torch/csrc/jit/serialization/import.cpp:287",
    "pytorch#14 0x000000000e8e9cc5 in torch::jit::import_ir_module (cu=..., in=..., device=..., extra_files=..., load_debug_files=<optimized out>, restore_shapes=<optimized out>) at /pytorch/torch/csrc/jit/serialization/import.cpp:386",
    "pytorch#15 0x000000000e8f37bf in torch::jit::import_ir_module (cu=..., in=..., device=..., load_debug_files=<optimized out>) at /pytorch/torch/csrc/jit/serialization/import.cpp:322",
    "pytorch#16 0x000000000e8f615a in torch::jit::load (in=..., device=..., load_debug_files=<optimized out>) at /pytorch/torch/csrc/jit/serialization/import.cpp:482",
    "pytorch#17 0x00000000005c2d61 in LLVMFuzzerTestOneInput (data=<optimized out>, size=5498) at /load.cc:42",
    "pytorch#18 0x00000000005c2a8e in ExecuteFilesOnyByOne (argc=2, argv=0x7fffffffc6b8, callback=callback@entry=0x5c2ae0 <LLVMFuzzerTestOneInput(uint8_t const*, size_t)>) at /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:255",
    "pytorch#19 0x00000000005c2899 in LLVMFuzzerRunDriver (argcp=argcp@entry=0x7fffffffc5b4, argvp=argvp@entry=0x7fffffffc5b8, callback=0x5c2ae0 <LLVMFuzzerTestOneInput(uint8_t const*, size_t)>) at /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:364",
    "pytorch#20 0x00000000005c2459 in main (argc=2, argv=0x7fffffffc6b8) at /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:300"
```

### Crash in torch/csrc/jit/serialization/source_range_serialization.cpp:211

[crash-5598d386057152f606bfa69d85605499e8852625.zip](https://github.com/pytorch/pytorch/files/11552952/crash-5598d386057152f606bfa69d85605499e8852625.zip)

```asan
    "#0  torch::jit::ConcreteSourceRangeUnpickler::unpickle (this=0x99b8d80) at /pytorch/torch/csrc/jit/serialization/source_range_serialization.cpp:211",
    "#1  0x0000000004042566 in torch::jit::ConcreteSourceRangeUnpickler::findSourceRangeThatGenerated (this=0x99aa1c0, range=...) at /pytorch/torch/csrc/jit/serialization/source_range_serialization.cpp:229",
    "#2  0x00000000007b5cc8 in torch::jit::Source::findSourceRangeThatGenerated (this=<optimized out>, range=...) at /pytorch/torch/csrc/jit/frontend/source_range.cpp:144",
    "#3  torch::jit::SourceRange::findSourceRangeThatGenerated (this=0x7fffffffa650) at /pytorch/torch/csrc/jit/frontend/source_range.h:384",
    "#4  torch::jit::SourceRange::highlight (this=0x7fffffffa650, out=...) at /pytorch/torch/csrc/jit/frontend/source_range.cpp:149",
    "#5  0x00000000007a0e74 in torch::jit::Lexer::expected (this=this@entry=0x99979a0, what=..., t=...) at /pytorch/torch/csrc/jit/frontend/lexer.h:461",
    "pytorch#6  0x000000000079fcaa in torch::jit::Lexer::lexRaw (this=this@entry=0x99979a0, whitespace_token=false) at /pytorch/torch/csrc/jit/frontend/lexer.h:552",
    "pytorch#7  0x000000000079fd23 in torch::jit::Lexer::lex (this=this@entry=0x99979a0) at /pytorch/torch/csrc/jit/frontend/lexer.h:487",
    "pytorch#8  0x00000000007a1da1 in torch::jit::Lexer::next (this=this@entry=0x99979a0) at /pytorch/torch/csrc/jit/frontend/lexer.h:436",
    "pytorch#9  0x0000000003bff6a8 in torch::jit::Lexer::nextIf (this=0x99979a0, kind=330) at /pytorch/torch/csrc/jit/frontend/lexer.h:444",
    "pytorch#10 torch::jit::ParserImpl::parseReturnAnnotation (this=this@entry=0x99979a0) at /pytorch/torch/csrc/jit/frontend/parser.cpp:703",
    "pytorch#11 0x0000000003bfd500 in torch::jit::ParserImpl::parseDecl (this=this@entry=0x99979a0) at /pytorch/torch/csrc/jit/frontend/parser.cpp:729",
    "pytorch#12 0x0000000003bfb725 in torch::jit::ParserImpl::parseFunction (this=this@entry=0x99979a0, is_method=true) at /pytorch/torch/csrc/jit/frontend/parser.cpp:755",
    "pytorch#13 0x0000000003bfdc28 in torch::jit::ParserImpl::parseStmt (this=this@entry=0x99979a0, in_class=<optimized out>) at /pytorch/torch/csrc/jit/frontend/parser.cpp:599",
    "pytorch#14 0x0000000003bfd8dd in torch::jit::ParserImpl::parseStatements (this=this@entry=0x99979a0, expect_indent=<optimized out>, in_class=<optimized out>) at /pytorch/torch/csrc/jit/frontend/parser.cpp:697",
    "pytorch#15 0x0000000003bfc4ba in torch::jit::ParserImpl::parseClass (this=0x99979a0) at /pytorch/torch/csrc/jit/frontend/parser.cpp:747",
    "pytorch#16 0x0000000003bfaddc in torch::jit::Parser::parseClass (this=<optimized out>) at /pytorch/torch/csrc/jit/frontend/parser.cpp:812",
    "pytorch#17 0x0000000004008e2d in torch::jit::SourceImporterImpl::parseSourceIfNeeded (this=this@entry=0x95d41f0, qualifier=...) at /pytorch/torch/csrc/jit/serialization/import_source.cpp:182",
    "pytorch#18 0x0000000004008ab7 in torch::jit::SourceImporterImpl::findNamedType (this=this@entry=0x95d41f0, name=...) at /pytorch/torch/csrc/jit/serialization/import_source.cpp:135",
    "pytorch#19 0x000000000400d010 in torch::jit::SourceImporterImpl::resolveType (this=0x95d41f0, name=..., loc=...) at /pytorch/torch/csrc/jit/serialization/import_source.cpp:261",
    "pytorch#20 0x0000000003c20821 in torch::jit::ScriptTypeParser::parseTypeFromExpr (this=this@entry=0x7fffffffb658, expr=...) at /pytorch/torch/csrc/jit/frontend/script_type_parser.cpp:238",
    "pytorch#21 0x0000000003c20acc in torch::jit::ScriptTypeParser::parseType (this=0x7fffffffb658, str=...) at /pytorch/torch/csrc/jit/frontend/script_type_parser.cpp:312",
    "pytorch#22 0x0000000004019416 in torch::jit::SourceImporter::loadType (this=<optimized out>, name=...) at /pytorch/torch/csrc/jit/serialization/import_source.cpp:786",
    "pytorch#23 0x0000000003ff365e in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0::operator()(c10::QualifiedName const&) const (this=<optimized out>, qn=...) at /pytorch/torch/csrc/jit/serialization/import.cpp:146",
    "pytorch#24 std::__invoke_impl<c10::StrongTypePtr, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&>(std::__invoke_other, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&) (__f=..., __args=...) at /usr/include/c++/10/bits/invoke.h:60",
    "pytorch#25 std::__invoke_r<c10::StrongTypePtr, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&>(torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&) (__fn=..., __args=...) at /usr/include/c++/10/bits/invoke.h:113",
    "pytorch#26 std::_Function_handler<c10::StrongTypePtr (c10::QualifiedName const&), torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0>::_M_invoke(std::_Any_data const&, c10::QualifiedName const&) (__functor=..., __args=...) at /usr/include/c++/10/bits/std_function.h:291",
    "pytorch#27 0x000000000404e5c4 in std::function<c10::StrongTypePtr (c10::QualifiedName const&)>::operator()(c10::QualifiedName const&) const (this=0x7fffffffbf28, __args=...) at /usr/include/c++/10/bits/std_function.h:622",
    "pytorch#28 torch::jit::Unpickler::readGlobal (this=this@entry=0x7fffffffbd50, module_name=..., class_name=...) at /pytorch/torch/csrc/jit/serialization/unpickler.cpp:820",
    "pytorch#29 0x0000000004049ce5 in torch::jit::Unpickler::readInstruction (this=this@entry=0x7fffffffbd50) at /pytorch/torch/csrc/jit/serialization/unpickler.cpp:496",
    "pytorch#30 0x00000000040497a8 in torch::jit::Unpickler::run (this=0x7fffffffbd50) at /pytorch/torch/csrc/jit/serialization/unpickler.cpp:251",
    "pytorch#31 0x00000000040494f9 in torch::jit::Unpickler::parse_ivalue (this=0x99aa1c0) at /pytorch/torch/csrc/jit/serialization/unpickler.cpp:204",
    "pytorch#32 0x00000000040075f8 in torch::jit::readArchiveAndTensors(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<std::function<c10::StrongTypePtr (c10::QualifiedName const&)> >, c10::optional<std::function<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> > (c10::StrongTypePtr, c10::IValue)> >, c10::optional<c10::Device>, caffe2::serialize::PyTorchStreamReader&, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&), std::shared_ptr<torch::jit::DeserializationStorageContext>) (archive_name=..., pickle_prefix=..., tensor_prefix=..., type_resolver=..., obj_loader=..., device=..., stream_reader=..., type_parser=0x0, storage_context=...) at /pytorch/torch/csrc/jit/serialization/import_read.cpp:53",
    "pytorch#33 0x0000000003ff3545 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive (this=this@entry=0x7fffffffc2b8, archive_name=...) at /pytorch/torch/csrc/jit/serialization/import.cpp:184",
    "pytorch#34 0x0000000003fed8bf in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::deserialize (this=this@entry=0x7fffffffc2b8, device=device@entry=..., extra_files=..., restore_shapes=220) at /pytorch/torch/csrc/jit/serialization/import.cpp:287",
    "pytorch#35 0x0000000003febb0f in torch::jit::import_ir_module (cu=..., in=..., device=..., device@entry=..., extra_files=..., load_debug_files=true, restore_shapes=<optimized out>) at /pytorch/torch/csrc/jit/serialization/import.cpp:386",
    "pytorch#36 0x0000000003feb7a1 in torch::jit::import_ir_module (cu=..., in=..., device=..., device@entry=..., load_debug_files=false) at /pytorch/torch/csrc/jit/serialization/import.cpp:322",
    "pytorch#37 0x0000000003ff015a in torch::jit::load (in=..., device=device@entry=..., load_debug_files=true) at /pytorch/torch/csrc/jit/serialization/import.cpp:482",
    "pytorch#38 0x00000000004a1655 in LLVMFuzzerTestOneInput (data=0x981a680 \"PK\\003\\004\", size=1609) at /load.cc:42",
    "pytorch#39 0x00000000004a1dbf in main ()"
```

### Segmentation fault in /pytorch/aten/src/ATen/core/ivalue.h:526

[crash-9bd059c1ae85ab9cdb41d786932214d942baa189.zip](https://github.com/pytorch/pytorch/files/11552956/crash-9bd059c1ae85ab9cdb41d786932214d942baa189.zip)

```asan
    "==8528==ERROR: AddressSanitizer: SEGV on unknown address (pc 0x00000e55d97e bp 0x7fffffffb4d0 sp 0x7fffffffb360 T0)",
    "==8528==The signal is caused by a READ memory access.",
    "==8528==Hint: this fault was caused by a dereference of a high value address (see register values below).  Disassemble the provided pc to learn which register was used.",
    "    #0 0xe55d97e in c10::IValue::isTuple() const /pytorch/aten/src/ATen/core/ivalue.h:526:26",
    "    #1 0xe55d97e in torch::distributed::rpc::GloballyUniqueId::fromIValue(c10::IValue const&) /pytorch/torch/csrc/distributed/rpc/types.cpp:60:3",
    "    #2 0xe4b04fb in torch::distributed::rpc::ScriptRemoteCall::fromIValues(std::vector<c10::IValue, std::allocator<c10::IValue> >&) /pytorch/torch/csrc/distributed/rpc/script_remote_call.cpp:33:20",
    "    #3 0xe4b1ed5 in torch::distributed::rpc::ScriptRemoteCall::fromMessage(torch::distributed::rpc::Message const&) /pytorch/torch/csrc/distributed/rpc/script_remote_call.cpp:80:10",
    "    #4 0xe55f8a0 in torch::distributed::rpc::deserializeRequest(torch::distributed::rpc::Message const&) /pytorch/torch/csrc/distributed/rpc/utils.cpp:108:14",
    "    #5 0x6120a8 in LLVMFuzzerTestOneInput /message_deserialize.cc:192:27",
    "    pytorch#6 0x535de1 in fuzzer::Fuzzer::ExecuteCallback(unsigned char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:611:15",
    "    pytorch#7 0x51fcec in fuzzer::RunOneTest(fuzzer::Fuzzer*, char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:324:6",
    "    pytorch#8 0x525a3b in fuzzer::FuzzerDriver(int*, char***, int (*)(unsigned char const*, unsigned long)) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:860:9",
    "    pytorch#9 0x54eff2 in main /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerMain.cpp:20:10",
    "    pytorch#10 0x7ffff7a37082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) (BuildId: 1878e6b475720c7c51969e69ab2d276fae6d1dee)",
    "    pytorch#11 0x51a60d in _start (/message_deserialize_fuzz+0x51a60d)",
    "",
    "AddressSanitizer can not provide additional info.",
    "SUMMARY: AddressSanitizer: SEGV /pytorch/aten/src/ATen/core/ivalue.h:526:26 in c10::IValue::isTuple() const",
    "==8528==ABORTING"
```
Pull Request resolved: pytorch#102156
Approved by: https://github.com/ezyang
titaiwangms pushed a commit that referenced this pull request Jun 1, 2023
@AlekseiNikiforovIBM @pytorchmergebot
ASAN: fix heap-buffer-overflow (pytorch#101970)
5fa273c 
Pass size argument.

<details>
<summary>ASAN report</summary>

```
==1640574==ERROR: AddressSanitizer: heap-buffer-overflow on address 0x609000022160 at pc 0x03ff31a04b42 bp 0x03ff69885dc0 sp 0x03ff69885db0
READ of size 16 at 0x609000022160 thread T1
    #0 0x3ff31a04b41 in at::vec::ZVECTOR::Vectorized<unsigned char, void>::loadu(void const*, int) /home/user/pytorch/aten/src/ATen/cpu/vec/vec256/zarch/vec256_zarch.h:397
    #1 0x3ff31a04b41 in at::vec::ZVECTOR::Vectorized<c10::quint8, void>::loadu(void const*, int) /home/user/pytorch/aten/src/ATen/cpu/vec/vec256/zarch/vec256_zarch.h:1574
    #2 0x3ff31a04b41 in operator() /home/user/pytorch/aten/src/ATen/native/quantized/cpu/kernels/QuantizedOpKernels.cpp:2668
    #3 0x3ff31cefa5d in void at::internal::invoke_parallel<at::native::(anonymous namespace)::quantized_normalize_kernel(at::Tensor const&, at::Tensor const&, at::Tensor const&, bool, int, int, long, long
, double, at::Tensor*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(long, long)#1}>(long, long, long, at::native::(anonymous namespace)::quantized_normalize_kernel(at::Tens
or const&, at::Tensor const&, at::Tensor const&, bool, int, int, long, long, double, at::Tensor*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(long, long)#1} const&) [clone
 ._omp_fn.0] /home/user/pytorch/aten/src/ATen/ParallelOpenMP.h:42
    #4 0x3ff6f31f52d in gomp_thread_start /var/tmp/portage/sys-devel/gcc-12.2.1_p20230304/work/gcc-12-20230304/libgomp/team.c:129
    #5 0x3ff82218381 in start_thread /usr/src/debug/sys-libs/glibc-2.37-r1/glibc-2.37/nptl/pthread_create.c:444
    pytorch#6 0x3ff822943f1  (/lib64/libc.so.6+0x1143f1)

0x609000022160 is located 0 bytes to the right of 32-byte region [0x609000022140,0x609000022160)
allocated by thread T0 here:
    #0 0x3ff82a3663f in __interceptor_posix_memalign /usr/src/debug/sys-devel/gcc-11.3.1_p20230303/gcc-11-20230303/libsanitizer/asan/asan_malloc_linux.cpp:226
    #1 0x3ff6f53ad95 in c10::alloc_cpu(unsigned long) /home/user/pytorch/c10/core/impl/alloc_cpu.cpp:74

Thread T1 created by T0 here:
    #0 0x3ff829dc263 in __interceptor_pthread_create /usr/src/debug/sys-devel/gcc-11.3.1_p20230303/gcc-11-20230303/libsanitizer/asan/asan_interceptors.cpp:216
    #1 0x3ff6f31fad5 in gomp_team_start /var/tmp/portage/sys-devel/gcc-12.2.1_p20230304/work/gcc-12-20230304/libgomp/team.c:858

SUMMARY: AddressSanitizer: heap-buffer-overflow /home/user/pytorch/aten/src/ATen/cpu/vec/vec256/zarch/vec256_zarch.h:397 in at::vec::ZVECTOR::Vectorized<unsigned char, void>::loadu(void const*, int)
Shadow bytes around the buggy address:
  0x100c12000043d0: 00 fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x100c12000043e0: fd fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x100c12000043f0: fd fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x100c1200004400: fd fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x100c1200004410: fa fa fa fa fa fa fa fa fd fa fa fa fa fa fa fa
=>0x100c1200004420: fa fa fa fa fa fa fa fa 00 00 00 00[fa]fa fa fa
  0x100c1200004430: fa fa fa fa fa fa fa fa fd fd fa fa fa fa fa fa
  0x100c1200004440: fa fa fa fa fa fa fa fa fd fd fa fa fa fa fa fa
  0x100c1200004450: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x100c1200004460: 00 00 fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x100c1200004470: 00 00 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
==1640574==ABORTING
```
</details>

Pull Request resolved: pytorch#101970
Approved by: https://github.com/Skylion007, https://github.com/jgong5
titaiwangms pushed a commit that referenced this pull request Jun 18, 2023
@apach301 @pytorchmergebot
[RPC] Check stack for emptiness in interpreter (pytorch#103327)
750cbb2 
Hi! I found heap-buffer-overflow during PyTorch RPC-module fuzzing.

[crash-9cc26b8da3b688a9c26614481239943b357c5636.zip](https://github.com/pytorch/pytorch/files/11707706/crash-9cc26b8da3b688a9c26614481239943b357c5636.zip)

```
    "==10634==ERROR: AddressSanitizer: heap-buffer-overflow on address 0x6060001b6a98 at pc 0x000000639a2e bp 0x7fffffff9100 sp 0x7fffffff90f8",
    "READ of size 4 at 0x6060001b6a98 thread T0",
    "    #0 0x639a2d in c10::IValue::isTensor() const /pytorch/aten/src/ATen/core/ivalue.h:432:27",
    "    #1 0x639a2d in c10::IValue::toTensor() && /pytorch/aten/src/ATen/core/ivalue_inl.h:159:7",
    "    #2 0xc5eb105 in at::Tensor c10::IValue::to<at::Tensor>() && /pytorch/aten/src/ATen/core/ivalue_inl.h:1690:1",
    "    #3 0xc5eb105 in void torch::jit::pop<at::Tensor>(std::vector<c10::IValue, std::allocator<c10::IValue> >&, at::Tensor&) /pytorch/aten/src/ATen/core/stack.h:130:55",
    "    #4 0xc5eaedb in torch::jit::dtype(std::vector<c10::IValue, std::allocator<c10::IValue> >&) /pytorch/torch/csrc/jit/mobile/promoted_prim_ops.cpp:105:3",
    "    #5 0xcc79600 in torch::jit::InterpreterStateImpl::runImpl(std::vector<c10::IValue, std::allocator<c10::IValue> >&) /pytorch/torch/csrc/jit/runtime/interpreter.cpp:682:13",
    "    pytorch#6 0xcc4158b in torch::jit::InterpreterStateImpl::run(std::vector<c10::IValue, std::allocator<c10::IValue> >&) /pytorch/torch/csrc/jit/runtime/interpreter.cpp:1052:9",
    "    pytorch#7 0x60f378 in runGraph(std::shared_ptr<torch::jit::Graph>, std::vector<at::Tensor, std::allocator<at::Tensor> > const&) /jit_differential.cc:66:38",
    "    pytorch#8 0x610bb9 in LLVMFuzzerTestOneInput /jit_differential.cc:107:25",
    "    pytorch#9 0x535c91 in fuzzer::Fuzzer::ExecuteCallback(unsigned char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:611:15",
    "    pytorch#10 0x51fb9c in fuzzer::RunOneTest(fuzzer::Fuzzer*, char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:324:6",
    "    pytorch#11 0x5258eb in fuzzer::FuzzerDriver(int*, char***, int (*)(unsigned char const*, unsigned long)) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:860:9",
    "    pytorch#12 0x54eea2 in main /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerMain.cpp:20:10",
    "    pytorch#13 0x7ffff7a37082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) (BuildId: 1878e6b475720c7c51969e69ab2d276fae6d1dee)",
    "    pytorch#14 0x51a4bd in _start (/jit_differential_fuzz+0x51a4bd)",
    "",
    "0x6060001b6a98 is located 8 bytes to the left of 64-byte region [0x6060001b6aa0,0x6060001b6ae0)",
    "allocated by thread T0 here:",
    "    #0 0x60c66d in operator new(unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/asan/asan_new_delete.cpp:95:3",
    "    #1 0xa5a41b in std::_Vector_base<c10::IValue, std::allocator<c10::IValue> >::_M_allocate(unsigned long) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_vector.h:346:20",
    "    #2 0xa5a41b in void std::vector<c10::IValue, std::allocator<c10::IValue> >::_M_realloc_insert<c10::IValue&>(__gnu_cxx::__normal_iterator<c10::IValue*, std::vector<c10::IValue, std::allocator<c10::IValue> > >, c10::IValue&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/vector.tcc:440:33",
    "    #3 0xa5a241 in c10::IValue& std::vector<c10::IValue, std::allocator<c10::IValue> >::emplace_back<c10::IValue&>(c10::IValue&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/vector.tcc:121:4",
    "    #4 0xcc8209c in torch::jit::InterpreterStateImpl::runImpl(std::vector<c10::IValue, std::allocator<c10::IValue> >&) /pytorch/torch/csrc/jit/runtime/interpreter.cpp:345:19",
    "    #5 0xcc4158b in torch::jit::InterpreterStateImpl::run(std::vector<c10::IValue, std::allocator<c10::IValue> >&) /pytorch/torch/csrc/jit/runtime/interpreter.cpp:1052:9",
    "    pytorch#6 0x60f378 in runGraph(std::shared_ptr<torch::jit::Graph>, std::vector<at::Tensor, std::allocator<at::Tensor> > const&) /jit_differential.cc:66:38",
    "    pytorch#7 0x610bb9 in LLVMFuzzerTestOneInput /jit_differential.cc:107:25",
    "    pytorch#8 0x535c91 in fuzzer::Fuzzer::ExecuteCallback(unsigned char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:611:15",
    "    pytorch#9 0x51fb9c in fuzzer::RunOneTest(fuzzer::Fuzzer*, char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:324:6",
    "    pytorch#10 0x5258eb in fuzzer::FuzzerDriver(int*, char***, int (*)(unsigned char const*, unsigned long)) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:860:9",
    "    pytorch#11 0x54eea2 in main /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerMain.cpp:20:10",
    "    pytorch#12 0x7ffff7a37082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) (BuildId: 1878e6b475720c7c51969e69ab2d276fae6d1dee)",
    "",
    "SUMMARY: AddressSanitizer: heap-buffer-overflow /pytorch/aten/src/ATen/core/ivalue.h:432:27 in c10::IValue::isTensor() const",
    "Shadow bytes around the buggy address:",
    "  0x0c0c8002ed00: 00 00 00 00 00 00 00 fa fa fa fa fa fd fd fd fd",
    "  0x0c0c8002ed10: fd fd fd fd fa fa fa fa fd fd fd fd fd fd fd fd",
    "  0x0c0c8002ed20: fa fa fa fa fd fd fd fd fd fd fd fd fa fa fa fa",
    "  0x0c0c8002ed30: fd fd fd fd fd fd fd fd fa fa fa fa 00 00 00 00",
    "  0x0c0c8002ed40: 00 00 00 00 fa fa fa fa fd fd fd fd fd fd fd fd",
    "=>0x0c0c8002ed50: fa fa fa[fa]00 00 00 00 00 00 00 00 fa fa fa fa",
    "  0x0c0c8002ed60: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa",
    "  0x0c0c8002ed70: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa",
    "  0x0c0c8002ed80: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa",
    "  0x0c0c8002ed90: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa",
    "  0x0c0c8002eda0: 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",
    "==10634==ABORTING"
```
Pull Request resolved: pytorch#103327
Approved by: https://github.com/Skylion007
titaiwangms pushed a commit that referenced this pull request Jun 23, 2023
@apach301 @pytorchmergebot
Heap buffer overflow due to wrong loop condition in torch::jit::unpic…
4aee0fe 
…kler (pytorch#103667)

Hi!

I've been fuzzing different pytorch modules with with [sydr-fuzz](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch), and found a heap buffer overflow error that occures by incorrect loop condition in torch::jit::unpickler.cpp. This bug was found in several fuzzing targets: it can be triggered by `torch::jit::load()` method when loading a .pt model and by `torch::distributed::rpc::deserializeRequest()` method in RPC module.

All found errors could be reproduced with provided docker: [Dockerfile](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch).

### PoC for deserealizeRequest():
[crash-0722408578cd2f26593b5a01e26d2a078d3dc5f6.zip](https://github.com/pytorch/pytorch/files/11756694/crash-0722408578cd2f26593b5a01e26d2a078d3dc5f6.zip)

```
=================================================================
==29858==ERROR: AddressSanitizer: heap-buffer-overflow on address 0x6020004ed808 at pc 0x000000680084 bp 0x7ffcbd8220d0 sp 0x7ffcbd8220c8
READ of size 4 at 0x6020004ed808 thread T0
    #0 0x680083 in c10::IValue::IValue(c10::IValue const&) /pytorch/aten/src/ATen/core/ivalue.h:224:33
    #1 0xdc4beb8 in std::pair<c10::impl::DictIterator<c10::IValue, c10::IValue, ska_ordered::detailv3::sherwood_v3_table<std::pair<c10::IValue, c10::IValue>, c10::IValue, c10::detail::DictKeyHash, ska_ordered::detailv3::KeyOrValueHasher<c10::IValue, std::pair<c10::IValue, c10::IValue>, c10::detail::DictKeyHash>, c10::detail::DictKeyEqualTo, ska_ordered::detailv3::KeyOrValueEquality<c10::IValue, std::pair<c10::IValue, c10::IValue>, c10::detail::DictKeyEqualTo>, std::allocator<std::pair<c10::IValue, c10::IValue> >, std::allocator<ska_ordered::detailv3::sherwood_v3_entry<std::pair<c10::IValue, c10::IValue> > > >::templated_iterator<std::pair<c10::IValue, c10::IValue> > >, bool> c10::Dict<c10::IValue, c10::IValue>::insert_or_assign<c10::IValue&, c10::IValue&>(c10::IValue&, c10::IValue&) const /pytorch/aten/src/ATen/core/Dict_inl.h:136:5
    #2 0xea680a7 in torch::jit::Unpickler::readInstruction() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:452:14
    #3 0xea64e07 in torch::jit::Unpickler::run() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:251:27
    #4 0xea64a61 in torch::jit::Unpickler::parse_ivalue() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:204:3
    #5 0xe9b13ce in torch::jit::unpickle(std::function<unsigned long (char*, unsigned long)>, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)) /pytorch/torch/csrc/jit/serialization/pickle.cpp:126:20
    pytorch#6 0xe9b178c in torch::jit::unpickle(char const*, unsigned long, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)) /pytorch/torch/csrc/jit/serialization/pickle.cpp:136:10
    pytorch#7 0xfdc8aa1 in torch::distributed::rpc::(anonymous namespace)::toIValues(torch::distributed::rpc::Message const&, torch::distributed::rpc::MessageType) /pytorch/torch/csrc/distributed/rpc/rref_proto.cpp:23:16
    pytorch#8 0xfdca3ca in torch::distributed::rpc::PythonRRefFetchCall::fromMessage(torch::distributed::rpc::Message const&) /pytorch/torch/csrc/distributed/rpc/rref_proto.cpp:105:17
    pytorch#9 0xfe7f347 in torch::distributed::rpc::deserializeRequest(torch::distributed::rpc::Message const&) /pytorch/torch/csrc/distributed/rpc/utils.cpp:117:14
    pytorch#10 0x5c5d13 in LLVMFuzzerTestOneInput /message_deserialize.cc:192:27
    pytorch#11 0x5c2bfd in ExecuteFilesOnyByOne /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:255:7
    pytorch#12 0x5c2a08 in LLVMFuzzerRunDriver /AFLplusplus/utils/aflpp_driver/aflpp_driver.c
    pytorch#13 0x5c25c8 in main /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:300:10
    pytorch#14 0x7feb90908082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) (BuildId: 1878e6b475720c7c51969e69ab2d276fae6d1dee)
    pytorch#15 0x50237d in _start (/message_deserialize_afl+0x50237d)

0x6020004ed808 is located 8 bytes to the right of 16-byte region [0x6020004ed7f0,0x6020004ed800)
allocated by thread T0 here:
    #0 0x5bfc1d in operator new(unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/asan/asan_new_delete.cpp:95:3
    #1 0x32ad8d1 in std::_Vector_base<c10::IValue, std::allocator<c10::IValue> >::_M_allocate(unsigned long) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_vector.h:346:20
    #2 0x32ad8d1 in void std::vector<c10::IValue, std::allocator<c10::IValue> >::_M_realloc_insert<double>(__gnu_cxx::__normal_iterator<c10::IValue*, std::vector<c10::IValue, std::allocator<c10::IValue> > >, double&&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/vector.tcc:440:33

SUMMARY: AddressSanitizer: heap-buffer-overflow /pytorch/aten/src/ATen/core/ivalue.h:224:33 in c10::IValue::IValue(c10::IValue const&)
Shadow bytes around the buggy address:
  0x0c0480095ab0: fa fa fd fd fa fa fd fd fa fa fd fd fa fa 00 00
  0x0c0480095ac0: fa fa 00 00 fa fa 00 00 fa fa 04 fa fa fa 04 fa
  0x0c0480095ad0: fa fa 00 fa fa fa fd fa fa fa 04 fa fa fa 00 fa
  0x0c0480095ae0: fa fa 00 fa fa fa fd fa fa fa fd fa fa fa fd fa
  0x0c0480095af0: fa fa fd fd fa fa 00 00 fa fa 00 fa fa fa 00 00
=>0x0c0480095b00: fa[fa]fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x0c0480095b10: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x0c0480095b20: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x0c0480095b30: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x0c0480095b40: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x0c0480095b50: 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
==29858==ABORTING
```

### PoC for load():
[crash-2bd32e496811fb06de24a2bb720dc6490218009f.zip](/uploads/53d108cdd434ec4b11a2034bbca3cfd8/crash-2bd32e496811fb06de24a2bb720dc6490218009f.zip)

```
==29865==ERROR: AddressSanitizer: heap-buffer-overflow on address 0x60c00031f388 at pc 0x000000669984 bp 0x7ffd6c6de630 sp 0x7ffd6c6de628
READ of size 4 at 0x60c00031f388 thread T0
    #0 0x669983 in c10::IValue::IValue(c10::IValue const&) /pytorch/aten/src/ATen/core/ivalue.h:224:33
    #1 0xdc3de68 in std::pair<c10::impl::DictIterator<c10::IValue, c10::IValue, ska_ordered::detailv3::sherwood_v3_table<std::pair<c10::IValue, c10::IValue>, c10::IValue, c10::detail::DictKeyHash, ska_ordered::detailv3::KeyOrValueHasher<c10::IValue, std::pair<c10::IValue, c10::IValue>, c10::detail::DictKeyHash>, c10::detail::DictKeyEqualTo, ska_ordered::detailv3::KeyOrValueEquality<c10::IValue, std::pair<c10::IValue, c10::IValue>, c10::detail::DictKeyEqualTo>, std::allocator<std::pair<c10::IValue, c10::IValue> >, std::allocator<ska_ordered::detailv3::sherwood_v3_entry<std::pair<c10::IValue, c10::IValue> > > >::templated_iterator<std::pair<c10::IValue, c10::IValue> > >, bool> c10::Dict<c10::IValue, c10::IValue>::insert_or_assign<c10::IValue&, c10::IValue&>(c10::IValue&, c10::IValue&) const /pytorch/aten/src/ATen/core/Dict_inl.h:136:5
    #2 0xea5a207 in torch::jit::Unpickler::readInstruction() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:452:14
    #3 0xea56f67 in torch::jit::Unpickler::run() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:251:27
    #4 0xea56bc1 in torch::jit::Unpickler::parse_ivalue() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:204:3
    #5 0xe96db4e in torch::jit::readArchiveAndTensors(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<std::function<c10::StrongTypePtr (c10::QualifiedName const&)> >, c10::optional<std::function<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> > (c10::StrongTypePtr, c10::IValue)> >, c10::optional<c10::Device>, caffe2::serialize::PyTorchStreamReader&, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&), std::shared_ptr<torch::jit::DeserializationStorageContext>) /pytorch/torch/csrc/jit/serialization/import_read.cpp:53:20
    pytorch#6 0xe8fc648 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/serialization/import.cpp:184:10
    pytorch#7 0xe8f8935 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::deserialize(c10::optional<c10::Device>, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >&, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:287:19
    pytorch#8 0xe8f6d74 in torch::jit::import_ir_module(std::shared_ptr<torch::jit::CompilationUnit>, std::istream&, c10::optional<c10::Device>, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >&, bool, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:386:25
    pytorch#9 0xe90086e in torch::jit::import_ir_module(std::shared_ptr<torch::jit::CompilationUnit>, std::istream&, c10::optional<c10::Device>, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:322:10
    pytorch#10 0xe903209 in torch::jit::load(std::istream&, c10::optional<c10::Device>, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:482:10
    pytorch#11 0x5c2d60 in LLVMFuzzerTestOneInput /load.cc:42:14
    pytorch#12 0x5c2a8d in ExecuteFilesOnyByOne /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:255:7
    pytorch#13 0x5c2898 in LLVMFuzzerRunDriver /AFLplusplus/utils/aflpp_driver/aflpp_driver.c
    pytorch#14 0x5c2458 in main /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:300:10
    pytorch#15 0x7f156ae33082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) (BuildId: 1878e6b475720c7c51969e69ab2d276fae6d1dee)
    pytorch#16 0x50220d in _start (/load_afl+0x50220d)

0x60c00031f388 is located 8 bytes to the right of 128-byte region [0x60c00031f300,0x60c00031f380)
allocated by thread T0 here:
    #0 0x5bfaad in operator new(unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/asan/asan_new_delete.cpp:95:3
    #1 0xa86231 in std::_Vector_base<c10::IValue, std::allocator<c10::IValue> >::_M_allocate(unsigned long) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_vector.h:346:20
    #2 0xa86231 in void std::vector<c10::IValue, std::allocator<c10::IValue> >::_M_realloc_insert<c10::IValue&>(__gnu_cxx::__normal_iterator<c10::IValue*, std::vector<c10::IValue, std::allocator<c10::IValue> > >, c10::IValue&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/vector.tcc:440:33

SUMMARY: AddressSanitizer: heap-buffer-overflow /pytorch/aten/src/ATen/core/ivalue.h:224:33 in c10::IValue::IValue(c10::IValue const&)
Shadow bytes around the buggy address:
  0x0c188005be20: fd fd fd fd fd fd fd fd fa fa fa fa fa fa fa fa
  0x0c188005be30: fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd fd
  0x0c188005be40: fa fa fa fa fa fa fa fa fd fd fd fd fd fd fd fd
  0x0c188005be50: fd fd fd fd fd fd fd fd fa fa fa fa fa fa fa fa
  0x0c188005be60: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
=>0x0c188005be70: fa[fa]fa fa fa fa fa fa 00 00 00 00 00 00 00 00
  0x0c188005be80: 00 00 00 00 00 00 00 00 fa fa fa fa fa fa fa fa
  0x0c188005be90: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00
  0x0c188005bea0: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x0c188005beb0: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
  0x0c188005bec0: 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
==29865==ABORTING
```
Pull Request resolved: pytorch#103667
Approved by: https://github.com/albanD
titaiwangms pushed a commit that referenced this pull request Jun 25, 2023
@kobrineli @pytorchmergebot
Heap buffer overflow at source_range_serialization.cpp:73 (pytorch#…
b3ace21 
…103969)

Hi! We've been fuzzing torchvision project with [sydr-fuzz](https://github.com/ispras/oss-sydr-fuzz).
We've found a heap buffer overflow error at `source_range_serialization.cpp:73` in pytorch project.

The error occurs because there is not check in `deserialize_source` that `text_table_` size can be less than `fnameIndex`. To prevent the error the corresponding check must be located.

torchvision version: 9d0a93eee90bf7c401b74ebf9c8be80346254f15
pytorch version: 0f1621d

OS: Ubuntu 20.04

How to reproduce

1. Build docker from [here](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/torchvision) and run the container:

        sudo docker build -t oss-sydr-fuzz-torchvision .
        sudo docker run --privileged --rm -v `pwd`:/fuzz -it oss-sydr-fuzz-torchvision /bin/bash

2. Run the target on this input:  [serialization-crash.txt](https://github.com/pytorch/pytorch/files/11819901/serialization-crash.txt)

        /encode_png_fuzz serialization-crash.txt

3. You will see the following output:

        =================================================================
        ==13==ERROR: AddressSanitizer: heap-buffer-overflow on address 0x60200055a630 at pc 0x0000010197b7 bp 0x7ffd4cfb15f0 sp 0x7ffd4cfb15e8
        READ of size 8 at 0x60200055a630 thread T0
            #0 0x10197b6 in std::__shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, (__gnu_cxx::_Lock_policy)2>::get() const /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/shared_ptr_base.h:1325:16
            #1 0x10197b6 in std::__shared_ptr_access<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, (__gnu_cxx::_Lock_policy)2, false, false>::_M_get() const /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/shared_ptr_base.h:1024:66
            #2 0x10197b6 in std::__shared_ptr_access<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, (__gnu_cxx::_Lock_policy)2, false, false>::operator*() const /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/shared_ptr_base.h:1011:10
            #3 0xde888c2 in torch::jit::SourceRangeDeserializer::deserialize_source(c10::IValue const&) /pytorch/torch/csrc/jit/serialization/source_range_serialization.cpp:73:16
            #4 0xde8802b in torch::jit::SourceRangeDeserializer::deserialize(c10::IValue const&) /pytorch/torch/csrc/jit/serialization/source_range_serialization.cpp:51:37
            #5 0xde8e9c7 in torch::jit::ConcreteSourceRangeUnpickler::unpickle() /pytorch/torch/csrc/jit/serialization/source_range_serialization.cpp:224:39
            pytorch#6 0xde8fb19 in torch::jit::ConcreteSourceRangeUnpickler::findSourceRangeThatGenerated(torch::jit::SourceRange const&) /pytorch/torch/csrc/jit/serialization/source_range_serialization.cpp:231:3
            pytorch#7 0x10798e7 in torch::jit::Source::findSourceRangeThatGenerated(torch::jit::SourceRange const&) /pytorch/torch/csrc/jit/frontend/source_range.cpp:144:23
            pytorch#8 0x1079d9a in torch::jit::SourceRange::findSourceRangeThatGenerated() const /pytorch/torch/csrc/jit/frontend/source_range.h:384:26
            pytorch#9 0x1079acd in torch::jit::SourceRange::highlight(std::ostream&) const /pytorch/torch/csrc/jit/frontend/source_range.cpp:149:32
            pytorch#10 0x1026fe2 in torch::jit::Lexer::expected(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, torch::jit::Token const&) /pytorch/torch/csrc/jit/frontend/lexer.h:461:13
            pytorch#11 0x10417d9 in torch::jit::Lexer::expected(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/frontend/lexer.h:465:5
            pytorch#12 0x102e52c in torch::jit::Lexer::expect(int) /pytorch/torch/csrc/jit/frontend/lexer.h:471:7
            pytorch#13 0xcee774c in torch::jit::ParserImpl::parseIdent() /pytorch/torch/csrc/jit/frontend/parser.cpp:52:16
            pytorch#14 0xcef4ea8 in torch::jit::ParserImpl::parseBaseExp() /pytorch/torch/csrc/jit/frontend/parser.cpp:195:22
            pytorch#15 0xcef2c1b in torch::jit::ParserImpl::parseExp(int) /pytorch/torch/csrc/jit/frontend/parser.cpp:284:16
            pytorch#16 0xcefac6a in torch::jit::ParserImpl::parseExp() /pytorch/torch/csrc/jit/frontend/parser.cpp:262:12
            pytorch#17 0xcefac6a in torch::jit::ParserImpl::parseSubscriptExp() /pytorch/torch/csrc/jit/frontend/parser.cpp:403:15
            pytorch#18 0xceff39f in torch::jit::List<torch::jit::Expr> torch::jit::ParserImpl::parseList<torch::jit::Expr>(int, int, int, torch::jit::Expr (torch::jit::ParserImpl::*)())::'lambda'()::operator()() const /pytorch/torch/csrc/jit/frontend/parser.cpp:354:54
            pytorch#19 0xceff39f in torch::jit::Expr std::__invoke_impl<void, torch::jit::List<torch::jit::Expr> torch::jit::ParserImpl::parseList<torch::jit::Expr>(int, int, int, torch::jit::Expr (torch::jit::ParserImpl::*)())::'lambda'()&>(std::__invoke_other, torch::jit::List<torch::jit::Expr> torch::jit::ParserImpl::parseList<torch::jit::Expr>(int, int, int, torch::jit::Expr (torch::jit::ParserImpl::*)())::'lambda'()&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:60:14
            pytorch#20 0xceea935 in torch::jit::ParserImpl::parseSequence(int, int, int, std::function<void ()> const&) /pytorch/torch/csrc/jit/frontend/parser.cpp:339:7
            pytorch#21 0xceefd69 in torch::jit::List<torch::jit::Expr> torch::jit::ParserImpl::parseList<torch::jit::Expr>(int, int, int, torch::jit::Expr (torch::jit::ParserImpl::*)()) /pytorch/torch/csrc/jit/frontend/parser.cpp:353:5
            pytorch#22 0xcef895a in torch::jit::ParserImpl::parseSubscript(c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> > const&) /pytorch/torch/csrc/jit/frontend/parser.cpp:430:9
            pytorch#23 0xcef5e5c in torch::jit::ParserImpl::parseBaseExp() /pytorch/torch/csrc/jit/frontend/parser.cpp:206:18
            pytorch#24 0xcef2c1b in torch::jit::ParserImpl::parseExp(int) /pytorch/torch/csrc/jit/frontend/parser.cpp:284:16
            pytorch#25 0xceeeb9d in torch::jit::ParserImpl::parseExp() /pytorch/torch/csrc/jit/frontend/parser.cpp:262:12
            pytorch#26 0xceeeb9d in torch::jit::ParserImpl::parseExpOrExpTuple() /pytorch/torch/csrc/jit/frontend/parser.cpp:94:19
            pytorch#27 0xcee8a36 in torch::jit::ParserImpl::parseStmt(bool) /pytorch/torch/csrc/jit/frontend/parser.cpp:612:20
            pytorch#28 0xcee7e72 in torch::jit::ParserImpl::parseStatements(bool, bool) /pytorch/torch/csrc/jit/frontend/parser.cpp:697:23
            pytorch#29 0xcee56f5 in torch::jit::ParserImpl::parseClass() /pytorch/torch/csrc/jit/frontend/parser.cpp:747:9
            pytorch#30 0xcee544a in torch::jit::Parser::parseClass() /pytorch/torch/csrc/jit/frontend/parser.cpp:812:17
            pytorch#31 0xdddbea9 in torch::jit::SourceImporterImpl::parseSourceIfNeeded(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:182:42
            pytorch#32 0xdddadbc in torch::jit::SourceImporterImpl::findNamedType(c10::QualifiedName const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:135:3
            pytorch#33 0xdde1d88 in torch::jit::SourceImporterImpl::resolveType(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, torch::jit::SourceRange const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:261:10
            pytorch#34 0xcf2ba5f in torch::jit::ScriptTypeParser::parseTypeFromExpr(torch::jit::Expr const&) const /pytorch/torch/csrc/jit/frontend/script_type_parser.cpp:238:24
            pytorch#35 0xcf2bec7 in torch::jit::ScriptTypeParser::parseType(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/frontend/script_type_parser.cpp:312:10
            pytorch#36 0xddf4284 in torch::jit::SourceImporter::loadType(c10::QualifiedName const&) const /pytorch/torch/csrc/jit/serialization/import_source.cpp:786:27
            pytorch#37 0xdd739f7 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0::operator()(c10::QualifiedName const&) const /pytorch/torch/csrc/jit/serialization/import.cpp:146:33
            pytorch#38 0xdd739f7 in c10::StrongTypePtr std::__invoke_impl<c10::StrongTypePtr, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&>(std::__invoke_other, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:60:14
            pytorch#39 0xdd73880 in std::enable_if<is_invocable_r_v<c10::StrongTypePtr, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&>, c10::StrongTypePtr>::type std::__invoke_r<c10::StrongTypePtr, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&>(torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:113:9
            pytorch#40 0xdd736d6 in std::_Function_handler<c10::StrongTypePtr (c10::QualifiedName const&), torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0>::_M_invoke(std::_Any_data const&, c10::QualifiedName const&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/std_function.h:291:9
            pytorch#41 0xdd76349 in std::function<c10::StrongTypePtr (c10::QualifiedName const&)>::operator()(c10::QualifiedName const&) const /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/std_function.h:622:14
            pytorch#42 0xdeb9f48 in torch::jit::Unpickler::readGlobal(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/serialization/unpickler.cpp:835:9
            pytorch#43 0xdeb012d in torch::jit::Unpickler::readInstruction() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:511:7
            pytorch#44 0xdeae437 in torch::jit::Unpickler::run() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:251:27
            pytorch#45 0xdeae0d2 in torch::jit::Unpickler::parse_ivalue() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:204:3
            pytorch#46 0xddd6de3 in torch::jit::readArchiveAndTensors(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<std::function<c10::StrongTypePtr (c10::QualifiedName const&)> >, c10::optional<std::function<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> > (c10::StrongTypePtr, c10::IValue)> >, c10::optional<c10::Device>, caffe2::serialize::PyTorchStreamReader&, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&), std::shared_ptr<torch::jit::DeserializationStorageContext>) /pytorch/torch/csrc/jit/serialization/import_read.cpp:53:20
            pytorch#47 0xdd732dd in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/serialization/import.cpp:184:10
            pytorch#48 0xdd69885 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::deserialize(c10::optional<c10::Device>, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >&, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:287:19
            pytorch#49 0xdd6c855 in torch::jit::import_ir_module(std::shared_ptr<torch::jit::CompilationUnit>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<c10::Device>, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >&, bool, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:438:25
            pytorch#50 0xdd6c1c7 in torch::jit::import_ir_module(std::shared_ptr<torch::jit::CompilationUnit>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<c10::Device>, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:421:10
            pytorch#51 0xdd6dce4 in torch::jit::load(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<c10::Device>, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:503:10
            pytorch#52 0xf2d3f75 in torch::serialize::InputArchive::load_from(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<c10::Device>) /pytorch/torch/csrc/api/src/serialize/input-archive.cpp:97:13
            pytorch#53 0x60509c in void torch::load<at::Tensor, char*&>(at::Tensor&, char*&) /pytorch/torch/include/torch/csrc/api/include/torch/serialize.h:107:11
            pytorch#54 0x6036be in LLVMFuzzerTestOneInput /vision/encode_png.cc:38:5
            pytorch#55 0x66b041 in fuzzer::Fuzzer::ExecuteCallback(unsigned char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:611:15
            pytorch#56 0x6544cc in fuzzer::RunOneTest(fuzzer::Fuzzer*, char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:324:6
            pytorch#57 0x65a61b in fuzzer::FuzzerDriver(int*, char***, int (*)(unsigned char const*, unsigned long)) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:860:9
            pytorch#58 0x654222 in main /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerMain.cpp:20:10
            pytorch#59 0x7f3d12cc7082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) (BuildId: 1878e6b475720c7c51969e69ab2d276fae6d1dee)
            pytorch#60 0x542cdd in _start (/encode_png_fuzz+0x542cdd)

        0x60200055a630 is located 16 bytes to the right of 16-byte region [0x60200055a610,0x60200055a620)
        allocated by thread T0 here:
            #0 0x60057d in operator new(unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/asan/asan_new_delete.cpp:95:3
            #1 0xde9185d in std::_Vector_base<std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >::_M_allocate(unsigned long) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_vector.h:346:20
            #2 0xde9185d in void std::vector<std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >::_M_realloc_insert<std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >(__gnu_cxx::__normal_iterator<std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >*, std::vector<std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > > >, std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >&&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/vector.tcc:440:33
            #3 0xde916a1 in std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >& std::vector<std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >::emplace_back<std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >(std::shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >&&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/vector.tcc:121:4
            #4 0xde8f445 in torch::jit::SourceRangeDeserializer::SourceRangeDeserializer(c10::IValue) /pytorch/torch/csrc/jit/serialization/source_range_serialization.h:42:19
            #5 0xde8e141 in torch::jit::ConcreteSourceRangeUnpickler::unpickle() /pytorch/torch/csrc/jit/serialization/source_range_serialization.cpp:215:28
            pytorch#6 0xde8fb19 in torch::jit::ConcreteSourceRangeUnpickler::findSourceRangeThatGenerated(torch::jit::SourceRange const&) /pytorch/torch/csrc/jit/serialization/source_range_serialization.cpp:231:3
            pytorch#7 0x10798e7 in torch::jit::Source::findSourceRangeThatGenerated(torch::jit::SourceRange const&) /pytorch/torch/csrc/jit/frontend/source_range.cpp:144:23
            pytorch#8 0x1079d9a in torch::jit::SourceRange::findSourceRangeThatGenerated() const /pytorch/torch/csrc/jit/frontend/source_range.h:384:26
            pytorch#9 0x1079acd in torch::jit::SourceRange::highlight(std::ostream&) const /pytorch/torch/csrc/jit/frontend/source_range.cpp:149:32
            pytorch#10 0x1026fe2 in torch::jit::Lexer::expected(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, torch::jit::Token const&) /pytorch/torch/csrc/jit/frontend/lexer.h:461:13
            pytorch#11 0x10417d9 in torch::jit::Lexer::expected(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/frontend/lexer.h:465:5
            pytorch#12 0xcee774c in torch::jit::ParserImpl::parseIdent() /pytorch/torch/csrc/jit/frontend/parser.cpp:52:16
            pytorch#13 0xcef4ea8 in torch::jit::ParserImpl::parseBaseExp() /pytorch/torch/csrc/jit/frontend/parser.cpp:195:22
            pytorch#14 0xcef2c1b in torch::jit::ParserImpl::parseExp(int) /pytorch/torch/csrc/jit/frontend/parser.cpp:284:16
            pytorch#15 0xcefac6a in torch::jit::ParserImpl::parseExp() /pytorch/torch/csrc/jit/frontend/parser.cpp:262:12
            pytorch#16 0xcefac6a in torch::jit::ParserImpl::parseSubscriptExp() /pytorch/torch/csrc/jit/frontend/parser.cpp:403:15
            pytorch#17 0xceff39f in torch::jit::List<torch::jit::Expr> torch::jit::ParserImpl::parseList<torch::jit::Expr>(int, int, int, torch::jit::Expr (torch::jit::ParserImpl::*)())::'lambda'()::operator()() const /pytorch/torch/csrc/jit/frontend/parser.cpp:354:54
            pytorch#18 0xceff39f in torch::jit::Expr std::__invoke_impl<void, torch::jit::List<torch::jit::Expr> torch::jit::ParserImpl::parseList<torch::jit::Expr>(int, int, int, torch::jit::Expr (torch::jit::ParserImpl::*)())::'lambda'()&>(std::__invoke_other, torch::jit::List<torch::jit::Expr> torch::jit::ParserImpl::parseList<torch::jit::Expr>(int, int, int, torch::jit::Expr (torch::jit::ParserImpl::*)())::'lambda'()&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:60:14
            pytorch#19 0xceea935 in torch::jit::ParserImpl::parseSequence(int, int, int, std::function<void ()> const&) /pytorch/torch/csrc/jit/frontend/parser.cpp:339:7
            pytorch#20 0xceefd69 in torch::jit::List<torch::jit::Expr> torch::jit::ParserImpl::parseList<torch::jit::Expr>(int, int, int, torch::jit::Expr (torch::jit::ParserImpl::*)()) /pytorch/torch/csrc/jit/frontend/parser.cpp:353:5
            pytorch#21 0xcef895a in torch::jit::ParserImpl::parseSubscript(c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> > const&) /pytorch/torch/csrc/jit/frontend/parser.cpp:430:9
            pytorch#22 0xcef5e5c in torch::jit::ParserImpl::parseBaseExp() /pytorch/torch/csrc/jit/frontend/parser.cpp:206:18
            pytorch#23 0xcef2c1b in torch::jit::ParserImpl::parseExp(int) /pytorch/torch/csrc/jit/frontend/parser.cpp:284:16
            pytorch#24 0xceeeb9d in torch::jit::ParserImpl::parseExp() /pytorch/torch/csrc/jit/frontend/parser.cpp:262:12
            pytorch#25 0xceeeb9d in torch::jit::ParserImpl::parseExpOrExpTuple() /pytorch/torch/csrc/jit/frontend/parser.cpp:94:19
            pytorch#26 0xcee8a36 in torch::jit::ParserImpl::parseStmt(bool) /pytorch/torch/csrc/jit/frontend/parser.cpp:612:20
            pytorch#27 0xcee7e72 in torch::jit::ParserImpl::parseStatements(bool, bool) /pytorch/torch/csrc/jit/frontend/parser.cpp:697:23
            pytorch#28 0xcee56f5 in torch::jit::ParserImpl::parseClass() /pytorch/torch/csrc/jit/frontend/parser.cpp:747:9
            pytorch#29 0xcee544a in torch::jit::Parser::parseClass() /pytorch/torch/csrc/jit/frontend/parser.cpp:812:17
            pytorch#30 0xdddbea9 in torch::jit::SourceImporterImpl::parseSourceIfNeeded(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:182:42
            pytorch#31 0xdddadbc in torch::jit::SourceImporterImpl::findNamedType(c10::QualifiedName const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:135:3
            pytorch#32 0xdde1d88 in torch::jit::SourceImporterImpl::resolveType(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, torch::jit::SourceRange const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:261:10
            pytorch#33 0xcf2ba5f in torch::jit::ScriptTypeParser::parseTypeFromExpr(torch::jit::Expr const&) const /pytorch/torch/csrc/jit/frontend/script_type_parser.cpp:238:24

        SUMMARY: AddressSanitizer: heap-buffer-overflow /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/shared_ptr_base.h:1325:16 in std::__shared_ptr<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, (__gnu_cxx::_Lock_policy)2>::get() const
        Shadow bytes around the buggy address:
          0x0c04800a3470: fa fa 00 00 fa fa 00 00 fa fa fd fa fa fa 00 00
          0x0c04800a3480: fa fa fd fa fa fa fd fd fa fa fd fd fa fa fd fa
          0x0c04800a3490: fa fa fd fd fa fa 00 00 fa fa 00 00 fa fa 00 00
          0x0c04800a34a0: fa fa fd fa fa fa fd fd fa fa fd fa fa fa 00 fa
          0x0c04800a34b0: fa fa fd fd fa fa fd fd fa fa fd fa fa fa fd fd
        =>0x0c04800a34c0: fa fa 00 00 fa fa[fa]fa fa fa fa fa fa fa fa fa
          0x0c04800a34d0: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
          0x0c04800a34e0: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
          0x0c04800a34f0: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
          0x0c04800a3500: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa
          0x0c04800a3510: 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
        ==13==ABORTING
Pull Request resolved: pytorch#103969
Approved by: https://github.com/davidberard98
titaiwangms pushed a commit that referenced this pull request Jun 29, 2023
@cyyever @pytorchmergebot
fix an ASAN error in MKLDNN (pytorch#104331)
f78b92f 
Fixes ASAN stack-use-after-scope in MKLDNN.
The stack trace is
```
2023-06-27T16:37:20.9099950Z ==1424==ERROR: AddressSanitizer: stack-use-after-scope on address 0x7f0c5dc20980 at pc 0x7f0c61286a73 bp 0x7ffef8e76990 sp 0x7ffef8e76118
2023-06-27T16:37:20.9100054Z READ of size 24 at 0x7f0c5dc20980 thread T0
2023-06-27T16:37:20.9100327Z     #0 0x7f0c61286a72 in memcmp (/usr/lib/llvm-7/lib/clang/7.0.1/lib/linux/libclang_rt.asan-x86_64.so+0x5da72)
2023-06-27T16:37:20.9100701Z     #1 0x7f0c2f395d0b in c10::ArrayRef<long>::equals(c10::ArrayRef<long>) const (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xcb8bd0b)
2023-06-27T16:37:20.9101196Z     #2 0x7f0c314a1bb1 in at::native::mkldnn_matmul(at::Tensor const&, at::Tensor const&, at::Tensor const&, float, float) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xec97bb1)
2023-06-27T16:37:20.9101714Z     #3 0x7f0c301f49c5 in at::native::bmm_out_or_baddbmm_(at::Tensor const&, at::Tensor const&, at::Tensor const&, c10::Scalar const&, c10::Scalar const&, bool) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xd9ea9c5)
2023-06-27T16:37:20.9102153Z     #4 0x7f0c301f85ab in at::native::structured_bmm_out_cpu::impl(at::Tensor const&, at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xd9ee5ab)
2023-06-27T16:37:20.9102601Z     #5 0x7f0c32cb3cb6 in at::(anonymous namespace)::wrapper_CPU_bmm(at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0x104a9cb6)
2023-06-27T16:37:20.9103662Z     pytorch#6 0x7f0c32ea1f43 in c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor (at::Tensor const&, at::Tensor const&), &(at::(anonymous namespace)::wrapper_CPU_bmm(at::Tensor const&, at::Tensor const&))>, at::Tensor, c10::guts::typelist::typelist<at::Tensor const&, at::Tensor const&> >, at::Tensor (at::Tensor const&, at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0x10697f43)
2023-06-27T16:37:20.9104330Z     pytorch#7 0x7f0c3187252a in at::Tensor c10::Dispatcher::redispatch<at::Tensor, at::Tensor const&, at::Tensor const&>(c10::TypedOperatorHandle<at::Tensor (at::Tensor const&, at::Tensor const&)> const&, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&) const (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xf06852a)
2023-06-27T16:37:20.9104756Z     pytorch#8 0x7f0c3257e097 in at::_ops::bmm::redispatch(c10::DispatchKeySet, at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xfd74097)
2023-06-27T16:37:20.9105237Z     pytorch#9 0x7f0c383c31c3 in torch::autograd::VariableType::(anonymous namespace)::bmm(c10::DispatchKeySet, at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0x15bb91c3)
2023-06-27T16:37:20.9106496Z     pytorch#10 0x7f0c383c25b9 in c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor (c10::DispatchKeySet, at::Tensor const&, at::Tensor const&), &(torch::autograd::VariableType::(anonymous namespace)::bmm(c10::DispatchKeySet, at::Tensor const&, at::Tensor const&))>, at::Tensor, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&, at::Tensor const&> >, at::Tensor (c10::DispatchKeySet, at::Tensor const&, at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0x15bb85b9)
2023-06-27T16:37:20.9106874Z     pytorch#11 0x7f0c3257da60 in at::_ops::bmm::call(at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xfd73a60)
2023-06-27T16:37:20.9107275Z     pytorch#12 0x7f0c301fc0e2 in at::native::_matmul_impl(at::Tensor&, at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xd9f20e2)
2023-06-27T16:37:20.9107647Z     pytorch#13 0x7f0c301f9c21 in at::native::matmul(at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xd9efc21)
2023-06-27T16:37:20.9108853Z     pytorch#14 0x7f0c33dca7e3 in c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor (at::Tensor const&, at::Tensor const&), &(at::(anonymous namespace)::(anonymous namespace)::wrapper_CompositeImplicitAutograd__matmul(at::Tensor const&, at::Tensor const&))>, at::Tensor, c10::guts::typelist::typelist<at::Tensor const&, at::Tensor const&> >, at::Tensor (at::Tensor const&, at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0x115c07e3)
2023-06-27T16:37:20.9109255Z     pytorch#15 0x7f0c32958ef0 in at::_ops::matmul::call(at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0x1014eef0)
2023-06-27T16:37:20.9110023Z     pytorch#16 0x7f0c2f596b62 in at::autocast::WrapFunction_<(at::autocast::CastPolicy)0, (c10::DeviceType)0, at::Tensor (at::Tensor const&, at::Tensor const&), &(at::_ops::matmul::call(at::Tensor const&, at::Tensor const&)), at::Tensor, c10::guts::typelist::typelist<at::Tensor const&, at::Tensor const&> >::call(at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xcd8cb62)
2023-06-27T16:37:20.9110723Z     pytorch#17 0x7f0c2f348403 in c10::impl::detail::WrapFunctionIntoRuntimeFunctor_<at::Tensor (*)(at::Tensor const&, at::Tensor const&), at::Tensor, c10::guts::typelist::typelist<at::Tensor const&, at::Tensor const&> >::operator()(at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xcb3e403)
2023-06-27T16:37:20.9111596Z     pytorch#18 0x7f0c2f348063 in c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoRuntimeFunctor_<at::Tensor (*)(at::Tensor const&, at::Tensor const&), at::Tensor, c10::guts::typelist::typelist<at::Tensor const&, at::Tensor const&> >, at::Tensor (at::Tensor const&, at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xcb3e063)
2023-06-27T16:37:20.9111976Z     pytorch#19 0x7f0c32958ef0 in at::_ops::matmul::call(at::Tensor const&, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0x1014eef0)
2023-06-27T16:37:20.9112383Z     pytorch#20 0x7f0c5803dc3e in torch::autograd::THPVariable_matmul(_object*, _object*, _object*) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_python.so+0x2b2cc3e)
2023-06-27T16:37:20.9112561Z warning: parsing line table prologue at 0x00000000 should have ended at 0x0000050b but it ended at 0x0000050a
2023-06-27T16:37:20.9112713Z     pytorch#21 0x5074a6 in cfunction_call (/opt/conda/envs/py_3.9/bin/python3.9+0x5074a6)
2023-06-27T16:37:20.9112857Z     pytorch#22 0x505997 in _PyObject_Call (/opt/conda/envs/py_3.9/bin/python3.9+0x505997)
2023-06-27T16:37:20.9113114Z     pytorch#23 0x505997 in PyObject_Call /croot/python-split_1684193875530/work/build-static/<invalid>:293:12
2023-06-27T16:37:20.9113258Z     pytorch#24 0x4ed302 in do_call_core (/opt/conda/envs/py_3.9/bin/python3.9+0x4ed302)
2023-06-27T16:37:20.9113633Z     pytorch#25 0x4ed302 in _PyEval_EvalFrameDefault /croot/python-split_1684193875530/work/build-static/<invalid>:3582:22
2023-06-27T16:37:20.9113780Z     pytorch#26 0x4e6729 in _PyEval_EvalFrame (/opt/conda/envs/py_3.9/bin/python3.9+0x4e6729)
2023-06-27T16:37:20.9114041Z     pytorch#27 0x4e6729 in _PyEval_EvalCode /croot/python-split_1684193875530/work/build-static/<invalid>:4329:14
2023-06-27T16:37:20.9114202Z     pytorch#28 0x4efd7d in _PyFunction_Vectorcall (/opt/conda/envs/py_3.9/bin/python3.9+0x4efd7d)
```

Pull Request resolved: pytorch#104331
Approved by: https://github.com/soulitzer
titaiwangms pushed a commit that referenced this pull request Jul 2, 2023
@kobrineli @pytorchmergebot
Check for corrupted ivalues. (pytorch#104243)
a5ca445 
Hi! We've been fuzzing torchvision project with [sydr-fuzz](https://github.com/ispras/oss-sydr-fuzz).
We've found a SEGV error at address 0x0 at `vector.h:163` in pytorch third-party project flatbuffers.

The error occurs because the `ivalues` field of flatbuffer module can be null, so the corresponding check must be inserted.

torchvision version: 9d0a93eee90bf7c401b74ebf9c8be80346254f15

pytorch version: 0f1621d

OS: Ubuntu 20.04

How to reproduce

1. Build docker from [here](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/torchvision) and run the container:

        sudo docker build -t oss-sydr-fuzz-torchvision .
        sudo docker run --privileged --rm -v `pwd`:/fuzz -it oss-sydr-fuzz-torchvision /bin/bash

2. Run the target on this input:
[malformed-module.txt](https://github.com/pytorch/pytorch/files/11879653/malformed-module.txt)

        /encode_png_fuzz malformed-module.txt

3. You will see the following output:

        AddressSanitizer:DEADLYSIGNAL
        =================================================================
        ==1154==ERROR: AddressSanitizer: SEGV on unknown address 0x000000000000 (pc 0x00000d17cc61 bp 0x7ffcbe8637f0 sp 0x7ffcbe863660 T0)
        ==1154==The signal is caused by a READ memory access.
        ==1154==Hint: address points to the zero page.
            #0 0xd17cc61 in flatbuffers::Vector<flatbuffers::Offset<torch::jit::mobile::serialization::IValue> >::size() const /pytorch/third_party/flatbuffers/include/flatbuffers/vector.h:163:48
            #1 0xd17cc61 in torch::jit::(anonymous namespace)::FlatbufferLoader::parseModule(torch::jit::mobile::serialization::Module*) /pytorch/torch/csrc/jit/mobile/flatbuffer_loader.cpp:293:32
            #2 0xd17dd23 in torch::jit::parse_and_initialize_mobile_module_for_jit(void*, unsigned long, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >&, std::vector<c10::IValue, std::allocator<c10::IValue> >&, c10::optional<c10::Device>, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >*) /pytorch/torch/csrc/jit/mobile/flatbuffer_loader.cpp:809:29
            #3 0xdd661b4 in torch::jit::parse_and_initialize_jit_module(std::shared_ptr<char>, unsigned long, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >&, c10::optional<c10::Device>) /pytorch/torch/csrc/jit/serialization/import.cpp:345:28
            #4 0xdd6b24a in torch::jit::_load_jit_module_from_bytes(std::shared_ptr<char>, unsigned long, std::shared_ptr<torch::jit::CompilationUnit>, c10::optional<c10::Device>, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >&, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:547:14
            #5 0xdd6c6df in torch::jit::import_ir_module(std::shared_ptr<torch::jit::CompilationUnit>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<c10::Device>, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >&, bool, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:443:10
            pytorch#6 0xdd6c1c7 in torch::jit::import_ir_module(std::shared_ptr<torch::jit::CompilationUnit>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<c10::Device>, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:421:10
            pytorch#7 0xdd6dce4 in torch::jit::load(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<c10::Device>, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:503:10
            pytorch#8 0xf2d3f75 in torch::serialize::InputArchive::load_from(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<c10::Device>) /pytorch/torch/csrc/api/src/serialize/input-archive.cpp:97:13
            pytorch#9 0x60509c in void torch::load<at::Tensor, char*&>(at::Tensor&, char*&) /pytorch/torch/include/torch/csrc/api/include/torch/serialize.h:107:11
            pytorch#10 0x6036be in LLVMFuzzerTestOneInput /vision/encode_png.cc:38:5
            pytorch#11 0x66b041 in fuzzer::Fuzzer::ExecuteCallback(unsigned char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:611:15
            pytorch#12 0x6544cc in fuzzer::RunOneTest(fuzzer::Fuzzer*, char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:324:6
            pytorch#13 0x65a61b in fuzzer::FuzzerDriver(int*, char***, int (*)(unsigned char const*, unsigned long)) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:860:9
            pytorch#14 0x654222 in main /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerMain.cpp:20:10
            pytorch#15 0x7f0c87b9c082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) (BuildId: 1878e6b475720c7c51969e69ab2d276fae6d1dee)
            pytorch#16 0x542cdd in _start (/encode_png_fuzz+0x542cdd)

        AddressSanitizer can not provide additional info.
        SUMMARY: AddressSanitizer: SEGV /pytorch/third_party/flatbuffers/include/flatbuffers/vector.h:163:48 in flatbuffers::Vector<flatbuffers::Offset<torch::jit::mobile::serialization::IValue> >::size() const
        ==1154==ABORTING

Pull Request resolved: pytorch#104243
Approved by: https://github.com/kit1980
titaiwangms pushed a commit that referenced this pull request Jul 20, 2023
@apach301 @pytorchmergebot
Heap buffer overflow in ditributed/rpc module (pytorch#105537)
585ce32 
Hi! we've been fuzzing PyTorch project with [sydr-fuzz](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch).
We've found a couple heap-buffer-overflows in `distributed/rpc` module.

PyTorch version: pytorch@0f1621d

OS: Ubuntu 20.04

### How to reproduce

1.  Build docker from this [Dockerfile](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch) and run the container.
2.  Then run `message_deserialize-afl++` fuzzing target on provided crash-inputs ([crash-056826339f6da8dbb97c944178e94494369a9e22.zip](https://github.com/pytorch/pytorch/files/12096151/crash-056826339f6da8dbb97c944178e94494369a9e22.zip), [crash-4f85db9f19fe152c0018f6675c3b4c122227058f.zip](https://github.com/pytorch/pytorch/files/12096160/crash-4f85db9f19fe152c0018f6675c3b4c122227058f.zip)):
```
unzip crash-4f85db9f19fe152c0018f6675c3b4c122227058f.zip
/message_deserialize-afl++ crash-4f85db9f19fe152c0018f6675c3b4c122227058f
```

### Heap buffer overflow in torch/csrc/jit/serialization/pickle.cpp:144

[crash-056826339f6da8dbb97c944178e94494369a9e22.zip](https://github.com/pytorch/pytorch/files/12096151/crash-056826339f6da8dbb97c944178e94494369a9e22.zip)

```asan
    "==7614==ERROR: AddressSanitizer: heap-buffer-overflow on address 0x60b001b58355 at pc 0x0000005d1147 bp 0x7fffffffa610 sp 0x7fffffff9de0",
    "READ of size 256 at 0x60b001b58355 thread T0",
    "    #0 0x5d1146 in __asan_memcpy /llvm-project-llvmorg-14.0.6/compiler-rt/lib/asan/asan_interceptors_memintrinsics.cpp:22:3",
    "    #1 0xd1cd19f in torch::jit::unpickle(char const*, unsigned long, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&))::$_3::operator()(char*, unsigned long) const /pytorch/torch/csrc/jit/serialization/pickle.cpp:144:9",
    "    #2 0xd1cd19f in unsigned long std::__invoke_impl<unsigned long, torch::jit::unpickle(char const*, unsigned long, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&))::$_3&, char*, unsigned long>(std::__invoke_other, torch::jit::unpickle(char const*, unsigned long, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&))::$_3&, char*&&, unsigned long&&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:60:14",
    "    #3 0xd27aa48 in std::function<unsigned long (char*, unsigned long)>::operator()(char*, unsigned long) const /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/std_function.h:622:14",
    "    #4 0xd27a61c in torch::jit::Unpickler::readSlowWithBuffer(char*, unsigned long) /pytorch/torch/csrc/jit/serialization/unpickler.cpp:1047:23",
    "    #5 0xd2698b8 in unsigned char torch::jit::Unpickler::read<unsigned char>() /pytorch/torch/csrc/jit/serialization/unpickler.h:111:7",
    "    pytorch#6 0xd268816 in torch::jit::Unpickler::readOpCode() /pytorch/torch/csrc/jit/serialization/unpickler.h:130:38",
    "    pytorch#7 0xd268816 in torch::jit::Unpickler::run() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:238:17",
    "    pytorch#8 0xd268522 in torch::jit::Unpickler::parse_ivalue() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:204:3",
    "    pytorch#9 0xd1c8502 in torch::jit::unpickle(std::function<unsigned long (char*, unsigned long)>, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)) /pytorch/torch/csrc/jit/serialization/pickle.cpp:126:20",
    "    pytorch#10 0xd1c8dbd in torch::jit::unpickle(char const*, unsigned long, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)) /pytorch/torch/csrc/jit/serialization/pickle.cpp:136:10",
    "    pytorch#11 0xe56b16d in torch::distributed::rpc::readWrappedPayload(std::vector<char, std::allocator<char> >&, torch::distributed::rpc::Message const&) /pytorch/torch/csrc/distributed/rpc/utils.cpp:515:18",
    "    pytorch#12 0xe3d8f29 in torch::distributed::autograd::RpcWithProfilingReq::fromMessage(torch::distributed::rpc::Message const&) /pytorch/torch/csrc/distributed/autograd/rpc_messages/rpc_with_profiling_req.cpp:112:24",
    "    pytorch#13 0xe55f692 in torch::distributed::rpc::deserializeRequest(torch::distributed::rpc::Message const&) /pytorch/torch/csrc/distributed/rpc/utils.cpp:138:14",
    "    pytorch#14 0x6120a8 in LLVMFuzzerTestOneInput /message_deserialize.cc:192:27",
    "    pytorch#15 0x535de1 in fuzzer::Fuzzer::ExecuteCallback(unsigned char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:611:15",
    "    pytorch#16 0x51fcec in fuzzer::RunOneTest(fuzzer::Fuzzer*, char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:324:6",
    "    pytorch#17 0x525a3b in fuzzer::FuzzerDriver(int*, char***, int (*)(unsigned char const*, unsigned long)) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:860:9",
    "    pytorch#18 0x54eff2 in main /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerMain.cpp:20:10",
    "    pytorch#19 0x7ffff7a37082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) (BuildId: 1878e6b475720c7c51969e69ab2d276fae6d1dee)",
    "    pytorch#20 0x51a60d in _start (/message_deserialize_fuzz+0x51a60d)",
    "",
    "0x60b001b58355 is located 0 bytes to the right of 101-byte region [0x60b001b582f0,0x60b001b58355)",
    "allocated by thread T0 here:",
    "    #0 0x60c7bd in operator new(unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/asan/asan_new_delete.cpp:95:3",
    "    #1 0x62c7fd in std::_Vector_base<char, std::allocator<char> >::_M_allocate(unsigned long) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_vector.h:346:20",
    "    #2 0x62c7fd in void std::vector<char, std::allocator<char> >::_M_range_initialize<unsigned char const*>(unsigned char const*, unsigned char const*, std::forward_iterator_tag) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_vector.h:1582:14",
    "    #3 0x612913 in std::vector<char, std::allocator<char> >::vector<unsigned char const*, void>(unsigned char const*, unsigned char const*, std::allocator<char> const&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_vector.h:657:4",
    "    #4 0x611c4a in LLVMFuzzerTestOneInput /message_deserialize.cc:181:21",
    "    #5 0x535de1 in fuzzer::Fuzzer::ExecuteCallback(unsigned char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:611:15",
    "    pytorch#6 0x51fcec in fuzzer::RunOneTest(fuzzer::Fuzzer*, char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:324:6",
    "    pytorch#7 0x525a3b in fuzzer::FuzzerDriver(int*, char***, int (*)(unsigned char const*, unsigned long)) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:860:9",
    "    pytorch#8 0x54eff2 in main /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerMain.cpp:20:10",
    "    pytorch#9 0x7ffff7a37082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) (BuildId: 1878e6b475720c7c51969e69ab2d276fae6d1dee)",
    "",
    "SUMMARY: AddressSanitizer: heap-buffer-overflow /llvm-project-llvmorg-14.0.6/compiler-rt/lib/asan/asan_interceptors_memintrinsics.cpp:22:3 in __asan_memcpy",
    "Shadow bytes around the buggy address:",
    "  0x0c1680363010: 00 00 00 fa fa fa fa fa fa fa fa fa 00 00 00 00",
    "  0x0c1680363020: 00 00 00 00 00 00 00 00 00 00 fa fa fa fa fa fa",
    "  0x0c1680363030: fa fa 00 00 00 00 00 00 00 00 00 00 00 00 00 fa",
    "  0x0c1680363040: fa fa fa fa fa fa fa fa 00 00 00 00 00 00 00 00",
    "  0x0c1680363050: 00 00 00 00 00 fa fa fa fa fa fa fa fa fa 00 00",
    "=>0x0c1680363060: 00 00 00 00 00 00 00 00 00 00[05]fa fa fa fa fa",
    "  0x0c1680363070: fa fa fa fa 00 00 00 00 00 00 00 00 00 00 00 00",
    "  0x0c1680363080: 05 fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa",
    "  0x0c1680363090: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa",
    "  0x0c16803630a0: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa",
    "  0x0c16803630b0: 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",
    "==7614==ABORTING"
```

### Heap-buffer-overflow in aten/src/ATen/core/ivalue.h:432

[crash-4f85db9f19fe152c0018f6675c3b4c122227058f.zip](https://github.com/pytorch/pytorch/files/11553011/crash-4f85db9f19fe152c0018f6675c3b4c122227058f.zip)

```asan
    "==60983==ERROR: AddressSanitizer: heap-buffer-overflow on address 0x6150001e4108 at pc 0x000000601877 bp 0x7fffffff9fd0 sp 0x7fffffff9fc8",
    "READ of size 4 at 0x6150001e4108 thread T0",
    "    #0 0x601876 in c10::IValue::isTensor() const /pytorch/aten/src/ATen/core/ivalue.h:432:27",
    "    #1 0x601876 in c10::IValue::destroy() /pytorch/aten/src/ATen/core/ivalue.h:1148:9",
    "    #2 0x699f72 in c10::IValue::~IValue() /pytorch/aten/src/ATen/core/ivalue.h:236:5",
    "    #3 0x699f72 in void std::_Destroy<c10::IValue>(c10::IValue*) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_construct.h:140:19",
    "    #4 0x699f72 in void std::_Destroy_aux<false>::__destroy<c10::IValue*>(c10::IValue*, c10::IValue*) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_construct.h:152:6",
    "    #5 0x699f72 in void std::_Destroy<c10::IValue*>(c10::IValue*, c10::IValue*) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_construct.h:184:7",
    "    pytorch#6 0x699f72 in void std::_Destroy<c10::IValue*, c10::IValue>(c10::IValue*, c10::IValue*, std::allocator<c10::IValue>&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/alloc_traits.h:738:7",
    "    pytorch#7 0x699f72 in std::vector<c10::IValue, std::allocator<c10::IValue> >::_M_erase_at_end(c10::IValue*) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/stl_vector.h:1796:6",
    "    pytorch#8 0x699e4a in std::vector<c10::IValue, std::allocator<c10::IValue> >::_M_erase(__gnu_cxx::__normal_iterator<c10::IValue*, std::vector<c10::IValue, std::allocator<c10::IValue> > >, __gnu_cxx::__normal_iterator<c10::IValue*, std::vector<c10::IValue, std::allocator<c10::IValue> > >) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/vector.tcc:191:4",
    "    pytorch#9 0xea5b11e in torch::jit::Unpickler::readInstruction() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:454:14",
    "    pytorch#10 0xea57d97 in torch::jit::Unpickler::run() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:251:27",
    "    pytorch#11 0xea579f1 in torch::jit::Unpickler::parse_ivalue() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:204:3",
    "    pytorch#12 0xe9a435e in torch::jit::unpickle(std::function<unsigned long (char*, unsigned long)>, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)) /pytorch/torch/csrc/jit/serialization/pickle.cpp:126:20",
    "    pytorch#13 0xe9a471c in torch::jit::unpickle(char const*, unsigned long, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)) /pytorch/torch/csrc/jit/serialization/pickle.cpp:136:10",
    "    pytorch#14 0xfcd034b in torch::distributed::autograd::PropagateGradientsReq::fromMessage(torch::distributed::rpc::Message const&) /pytorch/torch/csrc/distributed/autograd/rpc_messages/propagate_gradients_req.cpp:54:18",
    "    pytorch#15 0xfe720ff in torch::distributed::rpc::deserializeRequest(torch::distributed::rpc::Message const&) /pytorch/torch/csrc/distributed/rpc/utils.cpp:132:14",
    "    pytorch#16 0x5c5c93 in LLVMFuzzerTestOneInput /message_deserialize.cc:192:27",
    "    pytorch#17 0x5c2bfd in ExecuteFilesOnyByOne /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:255:7",
    "    pytorch#18 0x5c2a08 in LLVMFuzzerRunDriver /AFLplusplus/utils/aflpp_driver/aflpp_driver.c",
    "    pytorch#19 0x5c25c8 in main /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:300:10",
    "    pytorch#20 0x7ffff7a37082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) (BuildId: 1878e6b475720c7c51969e69ab2d276fae6d1dee)",
    "    pytorch#21 0x50237d in _start (/message_deserialize_afl+0x50237d)",
    "",
    "0x6150001e4108 is located 8 bytes to the right of 512-byte region [0x6150001e3f00,0x6150001e4100)",
    "allocated by thread T0 here:",
    "    #0 0x5bfbfa in operator new(unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/asan/asan_new_delete.cpp:95:3",
    "",
    "SUMMARY: AddressSanitizer: heap-buffer-overflow /pytorch/aten/src/ATen/core/ivalue.h:432:27 in c10::IValue::isTensor() const",
    "Shadow bytes around the buggy address:",
    "  0x0c2a800347d0: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa",
    "  0x0c2a800347e0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00",
    "  0x0c2a800347f0: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00",
    "  0x0c2a80034800: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00",
    "  0x0c2a80034810: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00",
    "=>0x0c2a80034820: fa[fa]fa fa fa fa fa fa fa fa fa fa fa fa fa fa",
    "  0x0c2a80034830: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa",
    "  0x0c2a80034840: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa",
    "  0x0c2a80034850: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa",
    "  0x0c2a80034860: fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa fa",
    "  0x0c2a80034870: 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",
    "==60983==ABORTING"
```
Pull Request resolved: pytorch#105537
Approved by: https://github.com/albanD
titaiwangms pushed a commit that referenced this pull request Jul 28, 2023
@kobrineli @pytorchmergebot
[JIT] Fix getting type for subscript assignments. (pytorch#106041)
32844be 
### Description

Hi! We've been fuzzing `pytorch` with [sydr-fuzz](https://github.com/ispras/oss-sydr-fuzz) and found error of out of bounds access in `torch::jit` module.

pytorch version: 18bcf62

The error occurs in `import_source.cpp:560` when we get the type from the `assign.rhs()`. `assign.rhs()` has `Maybe` type, as well as `assign.type()`, so one of them can be not presented. According to [grammar](https://github.com/pytorch/pytorch/blob/22f93852a2664b3dc29544ac6a36f1ec52c6caa2/torch/csrc/jit/frontend/tree_views.h), we can have `Assign` statement, which `lhs` will be `Subscript`, `rhs` will be empty (`Maybe` type with no subtrees) and `type` will be presented. But in `import_source.cpp:560` we try to get `rhs` expression from the assignment with no check whether it is presented.

This is example from the how to reproduce section from the testing input:
```
class Module(Module):
  __parameters__ = ["0", ]
  __buffers__ = []
  __annotations__ = []
  __annotations__["0"] : Tensor
```

When we parse the last statement of class definition, we set the type of `lhs` to `Subscript`, because the lookahead is `[`
https://github.com/pytorch/pytorch/blob/76fb72e24a5a4a47ad1f50c5c94d5c0b7e703531/torch/csrc/jit/frontend/parser.cpp#L205-L207

Then in `parseAssignment` we get `maybeOp` and `type` depending on the next symbol (if it is `:`, we get only the type)
https://github.com/pytorch/pytorch/blob/76fb72e24a5a4a47ad1f50c5c94d5c0b7e703531/torch/csrc/jit/frontend/parser.cpp#L437-L447

So after that, in `import_source.cpp:560`, parsing attributes, one of which is assignment with subscript type of `lhs`, we try to get type from `rhs` expression and out of bounds access occurs.

To fix the error, we need to check whether the `rhs` or `type` are presented and get the type from corresponding expression.

### How to reproduce

Build docker container from [here](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch):
```bash
$ sudo docker build -t oss-sydr-fuzz-pytorch
```

Run docker container:
```bash
$ sudo docker run --rm --privileged -v `pwd`:/fuzz -it oss-sydr-fuzz-pytorch /bin/bash
```

Run the `load_fuzz` target on the [input.txt](https://github.com/pytorch/pytorch/files/12173962/input.txt)
```bash
/load_fuzz input.txt
```

You will see the following output:
```
AddressSanitizer:DEADLYSIGNAL
=================================================================
==157==ERROR: AddressSanitizer: SEGV on unknown address (pc 0x00000c163764 bp 0x7ffee71d0070 sp 0x7ffee71d0050 T0)
==157==The signal is caused by a READ memory access.
==157==Hint: this fault was caused by a dereference of a high value address (see register values below).  Disassemble the provided pc to learn which register was used.
    #0 0xc163764 in c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> >::retain_() /pytorch/c10/util/intrusive_ptr.h:265:54
    #1 0xc1697fd in c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> >::intrusive_ptr(c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> > const&) /pytorch/c10/util/intrusive_ptr.h:354:5
    #2 0xc1697fd in torch::jit::Expr::Expr(c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> > const&) /pytorch/torch/csrc/jit/frontend/tree_views.h:270:49
    #3 0xc1f02cb in torch::jit::Maybe<torch::jit::Expr>::get() const /pytorch/torch/csrc/jit/frontend/tree_views.h:212:12
    #4 0xd194369 in torch::jit::SourceImporterImpl::importClass(c10::QualifiedName const&, torch::jit::ClassDef const&, bool) /pytorch/torch/csrc/jit/serialization/import_source.cpp:560:70
    #5 0xd18c701 in torch::jit::SourceImporterImpl::importNamedType(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, torch::jit::ClassDef const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:288:5
    pytorch#6 0xd18a84c in torch::jit::SourceImporterImpl::findNamedType(c10::QualifiedName const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:140:5
    pytorch#7 0xd1913a8 in torch::jit::SourceImporterImpl::resolveType(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, torch::jit::SourceRange const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:261:10
    pytorch#8 0xc2e422f in torch::jit::ScriptTypeParser::parseTypeFromExpr(torch::jit::Expr const&) const /pytorch/torch/csrc/jit/frontend/script_type_parser.cpp:238:24
    pytorch#9 0xc2e4697 in torch::jit::ScriptTypeParser::parseType(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/frontend/script_type_parser.cpp:312:10
    pytorch#10 0xd1a37d4 in torch::jit::SourceImporter::loadType(c10::QualifiedName const&) const /pytorch/torch/csrc/jit/serialization/import_source.cpp:786:27
    pytorch#11 0xd121c47 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0::operator()(c10::QualifiedName const&) const /pytorch/torch/csrc/jit/serialization/import.cpp:146:33
    pytorch#12 0xd121c47 in c10::StrongTypePtr std::__invoke_impl<c10::StrongTypePtr, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&>(std::__invoke_other, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:60:14
    pytorch#13 0xd121ad0 in std::enable_if<is_invocable_r_v<c10::StrongTypePtr, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&>, c10::StrongTypePtr>::type std::__invoke_r<c10::StrongTypePtr, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&>(torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:113:9
    pytorch#14 0xd121926 in std::_Function_handler<c10::StrongTypePtr (c10::QualifiedName const&), torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0>::_M_invoke(std::_Any_data const&, c10::QualifiedName const&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/std_function.h:291:9
    pytorch#15 0xd17ec49 in std::function<c10::StrongTypePtr (c10::QualifiedName const&)>::operator()(c10::QualifiedName const&) const /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/std_function.h:622:14
    pytorch#16 0xd26b802 in torch::jit::Unpickler::readGlobal(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/serialization/unpickler.cpp:844:9
    pytorch#17 0xd2615fb in torch::jit::Unpickler::readInstruction() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:520:7
    pytorch#18 0xd25f917 in torch::jit::Unpickler::run() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:253:27
    pytorch#19 0xd25f5b2 in torch::jit::Unpickler::parse_ivalue() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:206:3
    pytorch#20 0xd186403 in torch::jit::readArchiveAndTensors(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<std::function<c10::StrongTypePtr (c10::QualifiedName const&)> >, c10::optional<std::function<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> > (c10::StrongTypePtr, c10::IValue)> >, c10::optional<c10::Device>, caffe2::serialize::PyTorchStreamReader&, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&), std::shared_ptr<torch::jit::DeserializationStorageContext>) /pytorch/torch/csrc/jit/serialization/import_read.cpp:53:20
    pytorch#21 0xd12152d in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/serialization/import.cpp:184:10
    pytorch#22 0xd117bae in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::deserialize(c10::optional<c10::Device>, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >&, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:287:19
    pytorch#23 0xd114074 in torch::jit::import_ir_module(std::shared_ptr<torch::jit::CompilationUnit>, std::istream&, c10::optional<c10::Device>, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >&, bool, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:389:25
    pytorch#24 0xd113a27 in torch::jit::import_ir_module(std::shared_ptr<torch::jit::CompilationUnit>, std::istream&, c10::optional<c10::Device>, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:325:10
    pytorch#25 0xd11bb64 in torch::jit::load(std::istream&, c10::optional<c10::Device>, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:485:10
    pytorch#26 0x610c5c in LLVMFuzzerTestOneInput /load.cc:42:14
    pytorch#27 0x537701 in fuzzer::Fuzzer::ExecuteCallback(unsigned char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerLoop.cpp:611:15
    pytorch#28 0x52160c in fuzzer::RunOneTest(fuzzer::Fuzzer*, char const*, unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:324:6
    pytorch#29 0x52735b in fuzzer::FuzzerDriver(int*, char***, int (*)(unsigned char const*, unsigned long)) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerDriver.cpp:860:9
    pytorch#30 0x550912 in main /llvm-project-llvmorg-14.0.6/compiler-rt/lib/fuzzer/FuzzerMain.cpp:20:10
    pytorch#31 0x7f06e8323082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) (BuildId: 1878e6b475720c7c51969e69ab2d276fae6d1dee)
    pytorch#32 0x51bf2d in _start (/load_fuzz+0x51bf2d)

AddressSanitizer can not provide additional info.
SUMMARY: AddressSanitizer: SEGV /pytorch/c10/util/intrusive_ptr.h:265:54 in c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> >::retain_()
==157==ABORTING
```
Pull Request resolved: pytorch#106041
Approved by: https://github.com/davidberard98
titaiwangms pushed a commit that referenced this pull request Aug 3, 2023
@malfet @pytorchmergebot
Fix undefined behavior detected by clang-12 (pytorch#106354)
97396cd 
Compiler behavior when non-zero offset is added to a null pointer is undefined and is a bad habit.

- When `lapackEig` is called with to estimate a workspace size, do not add matrix size to the W pointer.
- When `unpack_pivots_cpu_kernel` with zero `dim_size` exit early.
- When `topk_impl_loop` is called with  `k` is zero, exit right away as output tensors are empty anyway.
- Ignore adding non-zero storage-offset in `TensorImpl::data_ptr_impl_impl`, which can be the case if tensor is created as `torch.empty(3)[4:]`.
- In `s_addmm_out_sparse_dense_worker` do not call `axpy` over an empty vector.
- In `_sparse_binary_op_intersection_kernel_impl` do skip computing `ptr_indices_dim` when `sparse_dim` is empty.
- Exit `grid_sample` forward/backward kernels earlier if either `input` or `grid` are empty tensors.

Found by asan in clang-12

Before the change UBSan report looks as follows:
```
 ASAN_SYMBOLIZER_PATH=/usr/lib/llvm-12/bin/llvm-symbolizer UBSAN_OPTIONS=print_stacktrace=1 LD_PRELOAD=/usr/lib/llvm-12/lib/clang/12.0.1/lib/linux/libclang_rt.asan-x86_64.so python test_fx_experimental.py -v -k test_normalize_operator_exhaustive_linalg_eig_cpu_float32
Test results will be stored in test-reports/python-unittest/test_fx_experimental

Running tests...
----------------------------------------------------------------------
  test_normalize_operator_exhaustive_linalg_eig_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... /opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/overrides.py:111: UserWarning: 'has_cuda' is deprecated, please use 'torch.backends.cuda.is_built()'
  torch.has_cuda,
/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/overrides.py:112: UserWarning: 'has_cudnn' is deprecated, please use 'torch.backends.cudnn.is_available()'
  torch.has_cudnn,
/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/overrides.py:118: UserWarning: 'has_mps' is deprecated, please use 'torch.backends.mps.is_built()'
  torch.has_mps,
/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/overrides.py:119: UserWarning: 'has_mkldnn' is deprecated, please use 'torch.backends.mkldnn.is_available()'
  torch.has_mkldnn,
/var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:937:17: runtime error: applying non-zero offset 20 to null pointer
    #0 0x7f2025794888 in void at::native::lapackEig<float, float>(char, char, int, float*, int, float*, float*, int, float*, int, float*, int, float*, int*) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0x9945888)
    #1 0x7f20257da256 in void at::native::(anonymous namespace)::apply_linalg_eig<float>(at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor&, bool) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0x998b256)
    #2 0x7f20257d902d in at::native::(anonymous namespace)::linalg_eig_kernel(at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor const&, bool) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0x998a02d)
    #3 0x7f20257b5b3d in at::native::linalg_eig_out_info(at::Tensor const&, at::Tensor&, at::Tensor&, at::Tensor&, bool) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0x9966b3d)
    #4 0x7f20257b4770 in at::native::linalg_eig_out(at::Tensor const&, at::Tensor&, at::Tensor&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0x9965770)
    #5 0x7f20280710e6 in c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<std::tuple<at::Tensor&, at::Tensor&> (at::Tensor const&, at::Tensor&, at::Tensor&), &(at::(anonymous namespace)::(anonymous namespace)::wrapper_CPU_out_linalg_eig_out(at::Tensor const&, at::Tensor&, at::Tensor&))>, std::tuple<at::Tensor&, at::Tensor&>, c10::guts::typelist::typelist<at::Tensor const&, at::Tensor&, at::Tensor&> >, std::tuple<at::Tensor&, at::Tensor&> (at::Tensor const&, at::Tensor&, at::Tensor&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor&, at::Tensor&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xc2220e6)
    pytorch#6 0x7f202727a045 in at::_ops::linalg_eig_out::call(at::Tensor const&, at::Tensor&, at::Tensor&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xb42b045)
    pytorch#7 0x7f20257b7e29 in at::native::linalg_eig(at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0x9968e29)
    pytorch#8 0x7f2028070bf0 in c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<std::tuple<at::Tensor, at::Tensor> (at::Tensor const&), &(at::(anonymous namespace)::(anonymous namespace)::wrapper_CPU__linalg_eig(at::Tensor const&))>, std::tuple<at::Tensor, at::Tensor>, c10::guts::typelist::typelist<at::Tensor const&> >, std::tuple<at::Tensor, at::Tensor> (at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xc221bf0)
    pytorch#9 0x7f2026b1f787 in std::tuple<at::Tensor, at::Tensor> c10::Dispatcher::redispatch<std::tuple<at::Tensor, at::Tensor>, at::Tensor const&>(c10::TypedOperatorHandle<std::tuple<at::Tensor, at::Tensor> (at::Tensor const&)> const&, c10::DispatchKeySet, at::Tensor const&) const (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xacd0787)
    pytorch#10 0x7f20273230a7 in at::_ops::linalg_eig::redispatch(c10::DispatchKeySet, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xb4d40a7)
    pytorch#11 0x7f202c3cc32d in torch::autograd::VariableType::(anonymous namespace)::linalg_eig(c10::DispatchKeySet, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0x1057d32d)
    pytorch#12 0x7f202c3cba96 in c10::impl::wrap_kernel_functor_unboxed_<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<std::tuple<at::Tensor, at::Tensor> (c10::DispatchKeySet, at::Tensor const&), &(torch::autograd::VariableType::(anonymous namespace)::linalg_eig(c10::DispatchKeySet, at::Tensor const&))>, std::tuple<at::Tensor, at::Tensor>, c10::guts::typelist::typelist<c10::DispatchKeySet, at::Tensor const&> >, std::tuple<at::Tensor, at::Tensor> (c10::DispatchKeySet, at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0x1057ca96)
    pytorch#13 0x7f20272798e0 in at::_ops::linalg_eig::call(at::Tensor const&) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_cpu.so+0xb42a8e0)
    pytorch#14 0x7f2043d97ae3 in torch::autograd::THPVariable_linalg_eig(_object*, _object*, _object*) (/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib/libtorch_python.so+0x23feae3)
    pytorch#15 0x5072d6 in cfunction_call /usr/local/src/conda/python-3.9.17/Objects/methodobject.c:543:19
    ...

SUMMARY: UndefinedBehaviorSanitizer: undefined-behavior /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:937:17 in
```

Pull Request resolved: pytorch#106354
Approved by: https://github.com/huydhn, https://github.com/lezcano
titaiwangms pushed a commit that referenced this pull request Sep 5, 2023
@apach301 @pytorchmergebot
[rpc] Fix assertion on vector length during message parsing (pytorch#…
159ce22 
…108414)

Hi!

I've been fuzzing different pytorch modules with with [sydr-fuzz](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch), and found a heap buffer overflow error that occurs during Python object deserialization routine. Vector with `IValues` is verified to contain at least 3 elements, which are subsequently removed from vector. The rest of vector is passed further, where it is expected to contain at least one more element. The crash occurs on empty vector.

Docker to reproduce found error: [Dockerfile](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch).

### PoC:
[crash-6d634f38a76bfeaa1fffc9472e8ea7b88ee8e776.txt](https://github.com/pytorch/pytorch/files/12499089/crash-6d634f38a76bfeaa1fffc9472e8ea7b88ee8e776.txt)

### ASAN report
```
==339647==ERROR: AddressSanitizer: heap-buffer-overflow on address 0x604000105388 at pc 0x000000c2b3bc bp 0x7fffffffb8d0 sp 0x7fffffffb8c8
READ of size 4 at 0x604000105388 thread T0
    #0 0xc2b3bb in c10::IValue::isString() const /pytorch/aten/src/ATen/core/ivalue.h:685:27
    #1 0xc2b3bb in c10::IValue::toStringRef[abi:cxx11]() const /pytorch/aten/src/ATen/core/ivalue_inl.h:2308:3
    #2 0x101ce65f in torch::distributed::rpc::SerializedPyObj::fromIValues(std::vector<c10::IValue, std::allocator<c10::IValue> >) /pytorch/torch/csrc/distributed/rpc/types.cpp:103:39
    #3 0x1006a7a0 in torch::distributed::rpc::PythonRemoteCall::fromMessage(torch::distributed::rpc::Message const&) /pytorch/torch/csrc/distributed/rpc/python_remote_call.cpp:58:26
    #4 0x101d02e1 in torch::distributed::rpc::deserializeRequest(torch::distributed::rpc::Message const&) /pytorch/torch/csrc/distributed/rpc/utils.cpp:111:14
    #5 0x8db738 in LLVMFuzzerTestOneInput /message_deserialize.cc:192:27
    pytorch#6 0x8d84cd in ExecuteFilesOnyByOne /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:255:7
    pytorch#7 0x8d82d8 in LLVMFuzzerRunDriver /AFLplusplus/utils/aflpp_driver/aflpp_driver.c
    pytorch#8 0x8d7e98 in main /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:300:10
    pytorch#9 0x7ffff7a37082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) (BuildId: 1878e6b475720c7c51969e69ab2d276fae6d1dee)
    pytorch#10 0x817c4d in _start (/message_deserialize_afl+0x817c4d)

0x604000105388 is located 8 bytes to the left of 48-byte region [0x604000105390,0x6040001053c0)
allocated by thread T0 here:
    #0 0x8d54ca in operator new(unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/asan/asan_new_delete.cpp:95:3

SUMMARY: AddressSanitizer: heap-buffer-overflow /pytorch/aten/src/ATen/core/ivalue.h:685:27 in c10::IValue::isString() const
```
Pull Request resolved: pytorch#108414
Approved by: https://github.com/ezyang
titaiwangms pushed a commit that referenced this pull request Sep 5, 2023
@apach301 @pytorchmergebot
[jit] Validate statement parsing during class deserialization (pytorc…
e787708 
…h#108417)

Hi!

I've been fuzzing different pytorch modules with with [sydr-fuzz](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch), and found a SEGV that occurs during class deserialization in jit module.

Docker to reproduce found error: [Dockerfile](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch).

### PoC:
[crash-bfbab61bf86755aa712bb978e26057ae76d75fe4.txt](https://github.com/pytorch/pytorch/files/12499228/crash-bfbab61bf86755aa712bb978e26057ae76d75fe4.txt)

### ASAN report
```
==1003115==ERROR: AddressSanitizer: SEGV on unknown address (pc 0x00000db61680 bp 0x7fffffff5e30 sp 0x7fffffff5a60 T0)
==1003115==The signal is caused by a READ memory access.
==1003115==Hint: this fault was caused by a dereference of a high value address (see register values below).  Disassemble the provided pc to learn which register was used.
    #0 0xdb61680 in c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> >::retain_() /pytorch/c10/util/intrusive_ptr.h:265:54
    #1 0xdb6721c in c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> >::intrusive_ptr(c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> > const&) /pytorch/c10/util/intrusive_ptr.h:354:5
    #2 0xdb6721c in torch::jit::Expr::Expr(c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> > const&) /pytorch/torch/csrc/jit/frontend/tree_views.h:270:49
    #3 0xdbf73b9 in torch::jit::Maybe<torch::jit::Expr>::get() const /pytorch/torch/csrc/jit/frontend/tree_views.h:212:12
    #4 0xecac171 in torch::jit::SourceImporterImpl::importClass(c10::QualifiedName const&, torch::jit::ClassDef const&, bool) /pytorch/torch/csrc/jit/serialization/import_source.cpp:454:64
    #5 0xeca0ada in torch::jit::SourceImporterImpl::importNamedType(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, torch::jit::ClassDef const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:288:5
    pytorch#6 0xeca7422 in torch::jit::SourceImporterImpl::findNamedType(c10::QualifiedName const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:140:5
    pytorch#7 0xeca295c in torch::jit::SourceImporterImpl::resolveType(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, torch::jit::SourceRange const&) /pytorch/torch/csrc/jit/serialization/import_source.cpp:261:10
    pytorch#8 0xdd03bc8 in torch::jit::ScriptTypeParser::parseTypeFromExpr(torch::jit::Expr const&) const /pytorch/torch/csrc/jit/frontend/script_type_parser.cpp:238:24
    pytorch#9 0xdcfc9b6 in torch::jit::ScriptTypeParser::parseType(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/frontend/script_type_parser.cpp:312:10
    pytorch#10 0xecbac43 in torch::jit::SourceImporter::loadType(c10::QualifiedName const&) const /pytorch/torch/csrc/jit/serialization/import_source.cpp:786:27
    pytorch#11 0xec2b5d3 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0::operator()(c10::QualifiedName const&) const /pytorch/torch/csrc/jit/serialization/import.cpp:146:33
    pytorch#12 0xec2b5d3 in c10::StrongTypePtr std::__invoke_impl<c10::StrongTypePtr, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&>(std::__invoke_other, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:60:14
    pytorch#13 0xec2b4a0 in std::enable_if<is_invocable_r_v<c10::StrongTypePtr, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&>, c10::StrongTypePtr>::type std::__invoke_r<c10::StrongTypePtr, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&>(torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0&, c10::QualifiedName const&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:113:9
    pytorch#14 0xec2b3a0 in std::_Function_handler<c10::StrongTypePtr (c10::QualifiedName const&), torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_0>::_M_invoke(std::_Any_data const&, c10::QualifiedName const&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/std_function.h:291:9
    pytorch#15 0xec95f7c in std::function<c10::StrongTypePtr (c10::QualifiedName const&)>::operator()(c10::QualifiedName const&) const /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/std_function.h:622:14
    pytorch#16 0xed78721 in torch::jit::Unpickler::readGlobal(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/serialization/unpickler.cpp:844:9
    pytorch#17 0xed87821 in torch::jit::Unpickler::readInstruction() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:520:7
    pytorch#18 0xed85b27 in torch::jit::Unpickler::run() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:253:27
    pytorch#19 0xed85781 in torch::jit::Unpickler::parse_ivalue() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:206:3
    pytorch#20 0xec9c7be in torch::jit::readArchiveAndTensors(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<std::function<c10::StrongTypePtr (c10::QualifiedName const&)> >, c10::optional<std::function<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> > (c10::StrongTypePtr, c10::IValue)> >, c10::optional<c10::Device>, caffe2::serialize::PyTorchStreamReader&, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&), std::shared_ptr<torch::jit::DeserializationStorageContext>) /pytorch/torch/csrc/jit/serialization/import_read.cpp:53:20
    pytorch#21 0xec2b168 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/serialization/import.cpp:184:10
    pytorch#22 0xec27235 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::deserialize(c10::optional<c10::Device>, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >&, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:287:19
    pytorch#23 0xec25644 in torch::jit::import_ir_module(std::shared_ptr<torch::jit::CompilationUnit>, std::istream&, c10::optional<c10::Device>, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >&, bool, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:389:25
    pytorch#24 0xec2dcbe in torch::jit::import_ir_module(std::shared_ptr<torch::jit::CompilationUnit>, std::istream&, c10::optional<c10::Device>, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:325:10
    pytorch#25 0xec30659 in torch::jit::load(std::istream&, c10::optional<c10::Device>, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:485:10
    pytorch#26 0x8d8636 in LLVMFuzzerTestOneInput /load.cc:42:14
    pytorch#27 0x8d835d in ExecuteFilesOnyByOne /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:255:7
    pytorch#28 0x8d8168 in LLVMFuzzerRunDriver /AFLplusplus/utils/aflpp_driver/aflpp_driver.c
    pytorch#29 0x8d7d28 in main /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:300:10
    pytorch#30 0x7ffff7a37082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) (BuildId: 1878e6b475720c7c51969e69ab2d276fae6d1dee)
    pytorch#31 0x817add in _start (/load_afl+0x817add)

AddressSanitizer can not provide additional info.
SUMMARY: AddressSanitizer: SEGV /pytorch/c10/util/intrusive_ptr.h:265:54 in c10::intrusive_ptr<torch::jit::Tree, c10::detail::intrusive_target_default_null_type<torch::jit::Tree> >::retain_()
==1003115==ABORTING

```

Pull Request resolved: pytorch#108417
Approved by: https://github.com/ezyang
titaiwangms pushed a commit that referenced this pull request Sep 5, 2023
@apach301 @pytorchmergebot
[jit] Verify stack size and index to prevent off-by-one error (pytorc…
4a472d9 
…h#108413)

Hi!

I've been fuzzing different pytorch modules with with [sydr-fuzz](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch), and found a heap buffer overflow error that occurs by incorrect loop condition in torch::jit::unpickler.cpp. This bug can be triggered by `torch::distributed::rpc::deserializeRequest()` method in RPC module.

Docker to reproduce found error: [Dockerfile](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch).

### PoC for deserealizeRequest():
[crash-001e49dcd3a3c439e2b1273d580049309e052bdd.txt](https://github.com/pytorch/pytorch/files/12498999/crash-001e49dcd3a3c439e2b1273d580049309e052bdd.txt)

### ASAN report
```
==339982==ERROR: AddressSanitizer: heap-buffer-overflow on address 0x619000086a88 at pc 0x000000996fa4 bp 0x7fffffff9c50 sp 0x7fffffff9c48
READ of size 4 at 0x619000086a88 thread T0
    #0 0x996fa3 in c10::IValue::IValue(c10::IValue const&) /pytorch/aten/src/ATen/core/ivalue.h:226:33
    #1 0xdf99a38 in std::pair<c10::impl::DictIterator<c10::IValue, c10::IValue, ska_ordered::detailv3::sherwood_v3_table<std::pair<c10::IValue, c10::IValue>, c10::IValue, c10::detail::DictKeyHash, ska_ordered::detailv3::KeyOrValueHasher<c10::IValue, std::pair<c10::IValue, c10::IValue>, c10::detail::DictKeyHash>, c10::detail::DictKeyEqualTo, ska_ordered::detailv3::KeyOrValueEquality<c10::IValue, std::pair<c10::IValue, c10::IValue>, c10::detail::DictKeyEqualTo>, std::allocator<std::pair<c10::IValue, c10::IValue> >, std::allocator<ska_ordered::detailv3::sherwood_v3_entry<std::pair<c10::IValue, c10::IValue> > > >::templated_iterator<std::pair<c10::IValue, c10::IValue> > >, bool> c10::Dict<c10::IValue, c10::IValue>::insert_or_assign<c10::IValue&, c10::IValue&>(c10::IValue&, c10::IValue&) const /pytorch/aten/src/ATen/core/Dict_inl.h:136:5
    #2 0xed966c7 in torch::jit::Unpickler::readInstruction() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:490:14
    #3 0xed94377 in torch::jit::Unpickler::run() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:253:27
    #4 0xed93fd1 in torch::jit::Unpickler::parse_ivalue() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:206:3
    #5 0xece09ee in torch::jit::unpickle(std::function<unsigned long (char*, unsigned long)>, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)) /pytorch/torch/csrc/jit/serialization/pickle.cpp:126:20
    pytorch#6 0xece0dac in torch::jit::unpickle(char const*, unsigned long, std::function<c10::StrongTypePtr (c10::QualifiedName const&)>, c10::ArrayRef<at::Tensor>, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)) /pytorch/torch/csrc/jit/serialization/pickle.cpp:136:10
    pytorch#7 0x1006a4e7 in torch::distributed::rpc::PythonRemoteCall::fromMessage(torch::distributed::rpc::Message const&) /pytorch/torch/csrc/distributed/rpc/python_remote_call.cpp:40:16
    pytorch#8 0x101d02e1 in torch::distributed::rpc::deserializeRequest(torch::distributed::rpc::Message const&) /pytorch/torch/csrc/distributed/rpc/utils.cpp:111:14
    pytorch#9 0x8db738 in LLVMFuzzerTestOneInput /message_deserialize.cc:192:27
    pytorch#10 0x8d84cd in ExecuteFilesOnyByOne /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:255:7
    pytorch#11 0x8d82d8 in LLVMFuzzerRunDriver /AFLplusplus/utils/aflpp_driver/aflpp_driver.c
    pytorch#12 0x8d7e98 in main /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:300:10
    pytorch#13 0x7ffff7a37082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) (BuildId: 1878e6b475720c7c51969e69ab2d276fae6d1dee)
    pytorch#14 0x817c4d in _start (/message_deserialize_afl+0x817c4d)

0x619000086a88 is located 8 bytes to the right of 1024-byte region [0x619000086680,0x619000086a80)
allocated by thread T0 here:
    #0 0x8d54ca in operator new(unsigned long) /llvm-project-llvmorg-14.0.6/compiler-rt/lib/asan/asan_new_delete.cpp:95:3

SUMMARY: AddressSanitizer: heap-buffer-overflow /pytorch/aten/src/ATen/core/ivalue.h:226:33 in c10::IValue::IValue(c10::IValue const&)
```

Pull Request resolved: pytorch#108413
Approved by: https://github.com/ezyang
titaiwangms pushed a commit that referenced this pull request Sep 6, 2023
@apach301 @pytorchmergebot
Fix empty vector segfault during version parsing in quantized seriali…
79bc4ee 
…zation (pytorch#108418)

Hi!

I've been fuzzing different pytorch modules with with [sydr-fuzz](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch), and found a SEGV that occurs during data parsing for quantized conv deserialization. The crash occurs because of empty `optional` vector.

Docker to reproduce found error: [Dockerfile](https://github.com/ispras/oss-sydr-fuzz/tree/master/projects/pytorch).

### PoC:
[crash-aaa72b1c1431ac556118e34099ba163052dc0f96.txt](https://github.com/pytorch/pytorch/files/12499249/crash-aaa72b1c1431ac556118e34099ba163052dc0f96.txt)

### ASAN report
```
==1003193==ERROR: AddressSanitizer: SEGV on unknown address 0x000000000000 (pc 0x000000cbd1b1 bp 0x7fffffff8490 sp 0x7fffffff7a30 T0)
==1003193==The signal is caused by a READ memory access.
==1003193==Hint: address points to the zero page.
    #0 0xcbd1b1 in c10::optional_base<at::Tensor>::optional_base(c10::optional_base<at::Tensor> const&) /pytorch/c10/util/Optional.h:222:17
    #1 0x2b32336 in c10::optional<at::Tensor>::optional(c10::optional<at::Tensor> const&) /pytorch/c10/util/Optional.h:631:3
    #2 0x2b32336 in std::tuple<long, std::vector<long, std::allocator<long> >, std::vector<c10::optional<at::Tensor>, std::allocator<c10::optional<at::Tensor> > > > parse_conv_serialized_state<2u>(c10::IValue) /pytorch/aten/src/ATen/native/quantized/cpu/conv_serialization.h:183:17
    #3 0x2b30276 in int register_conv_params<2>()::'lambda'(c10::IValue)::operator()(c10::IValue) const /pytorch/aten/src/ATen/native/quantized/cpu/fbgemm_utils.cpp:410:49
    #4 0x2b30014 in std::enable_if<!(std::is_member_pointer<std::decay<int register_conv_params<2>()::'lambda'(c10::IValue) const&>::type>::value), std::invoke_result<int register_conv_params<2>()::'lambda'(c10::IValue) const&, c10::IValue>::type>::type c10::guts::invoke<int register_conv_params<2>()::'lambda'(c10::IValue) const&, c10::IValue>(int register_conv_params<2>()::'lambda'(c10::IValue) const&, c10::IValue&&) /pytorch/c10/util/C++17.h:203:10
    #5 0x2b2f7e7 in torch::class_<ConvPackedParamsBase<2> >& torch::class_<ConvPackedParamsBase<2> >::def_pickle<int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&), int register_conv_params<2>()::'lambda'(c10::IValue)>(int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&)&&, int register_conv_params<2>()::'lambda'(c10::IValue)&&)::'lambda'(c10::tagged_capsule<ConvPackedParamsBase<2> >, c10::IValue&&)::operator()(c10::tagged_capsule<ConvPackedParamsBase<2> >, c10::IValue&&) const /pytorch/torch/custom_class.h:328:11
    pytorch#6 0x2b2f570 in c10::guts::infer_function_traits<int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&)>::type::return_type torch::detail::call_torchbind_method_from_stack<torch::class_<ConvPackedParamsBase<2> >& torch::class_<ConvPackedParamsBase<2> >::def_pickle<int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&), int register_conv_params<2>()::'lambda'(c10::IValue)>(int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&)&&, int register_conv_params<2>()::'lambda'(c10::IValue)&&)::'lambda'(c10::tagged_capsule<ConvPackedParamsBase<2> >, c10::IValue&&), false, 0ul, 1ul>(int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&)&, std::vector<c10::IValue, std::allocator<c10::IValue> >&, std::integer_sequence<unsigned long, 0ul, 1ul>) /pytorch/torch/custom_class_detail.h:139:10
    pytorch#7 0x2b2f408 in c10::guts::infer_function_traits<int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&)>::type::return_type torch::detail::call_torchbind_method_from_stack<torch::class_<ConvPackedParamsBase<2> >& torch::class_<ConvPackedParamsBase<2> >::def_pickle<int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&), int register_conv_params<2>()::'lambda'(c10::IValue)>(int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&)&&, int register_conv_params<2>()::'lambda'(c10::IValue)&&)::'lambda'(c10::tagged_capsule<ConvPackedParamsBase<2> >, c10::IValue&&), false>(int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&)&, std::vector<c10::IValue, std::allocator<c10::IValue> >&) /pytorch/torch/custom_class_detail.h:153:10
    pytorch#8 0x2b2f408 in torch::detail::BoxedProxy<void, torch::class_<ConvPackedParamsBase<2> >& torch::class_<ConvPackedParamsBase<2> >::def_pickle<int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&), int register_conv_params<2>()::'lambda'(c10::IValue)>(int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&)&&, int register_conv_params<2>()::'lambda'(c10::IValue)&&)::'lambda'(c10::tagged_capsule<ConvPackedParamsBase<2> >, c10::IValue&&)>::operator()(std::vector<c10::IValue, std::allocator<c10::IValue> >&, torch::class_<ConvPackedParamsBase<2> >& torch::class_<ConvPackedParamsBase<2> >::def_pickle<int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&), int register_conv_params<2>()::'lambda'(c10::IValue)>(int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&)&&, int register_conv_params<2>()::'lambda'(c10::IValue)&&)::'lambda'(c10::tagged_capsule<ConvPackedParamsBase<2> >, c10::IValue&&)&) /pytorch/torch/custom_class_detail.h:174:5
    pytorch#9 0x2b2f38d in torch::jit::Function* torch::class_<ConvPackedParamsBase<2> >::defineMethod<torch::class_<ConvPackedParamsBase<2> >& torch::class_<ConvPackedParamsBase<2> >::def_pickle<int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&), int register_conv_params<2>()::'lambda'(c10::IValue)>(int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&)&&, int register_conv_params<2>()::'lambda'(c10::IValue)&&)::'lambda'(c10::tagged_capsule<ConvPackedParamsBase<2> >, c10::IValue&&)>(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&), std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::initializer_list<torch::arg>)::'lambda'(std::vector<c10::IValue, std::allocator<c10::IValue> >&)::operator()(std::vector<c10::IValue, std::allocator<c10::IValue> >&) /pytorch/torch/custom_class.h:407:7
    pytorch#10 0x2b2f38d in int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&) std::__invoke_impl<void, torch::jit::Function* torch::class_<ConvPackedParamsBase<2> >::defineMethod<torch::class_<ConvPackedParamsBase<2> >& torch::class_<ConvPackedParamsBase<2> >::def_pickle<int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&), int register_conv_params<2>()::'lambda'(c10::IValue)>(int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&)&&, int register_conv_params<2>()::'lambda'(c10::IValue)&&)::'lambda'(c10::tagged_capsule<ConvPackedParamsBase<2> >, c10::IValue&&)>(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, int register_conv_params<2>()::'lambda'(c10::intrusive_ptr<ConvPackedParamsBase<2>, c10::detail::intrusive_target_default_null_type<ConvPackedParamsBase<2> > > const&), std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::initializer_list<torch::arg>)::'lambda'(std::vector<c10::IValue, std::allocator<c10::IValue> >&)&, std::vector<c10::IValue, std::allocator<c10::IValue> >&>(std::__invoke_other, int register_conv_params<2>()::'lambda'(c10::IValue)&&, std::vector<c10::IValue, std::allocator<c10::IValue> >&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:60:14
    pytorch#11 0x125654e in torch::jit::Function::operator()(std::vector<c10::IValue, std::allocator<c10::IValue> >, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, c10::IValue, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, c10::IValue> > > const&) /pytorch/aten/src/ATen/core/function.h:62:5
    pytorch#12 0xec2c1c6 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_1::operator()(c10::StrongTypePtr const&, c10::IValue) const /pytorch/torch/csrc/jit/serialization/import.cpp:172:7
    pytorch#13 0xec2c1c6 in c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> > std::__invoke_impl<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> >, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_1&, c10::StrongTypePtr, c10::IValue>(std::__invoke_other, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_1&, c10::StrongTypePtr&&, c10::IValue&&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:60:14
    pytorch#14 0xec2b9a0 in std::enable_if<is_invocable_r_v<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> >, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_1&, c10::StrongTypePtr, c10::IValue>, c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> > >::type std::__invoke_r<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> >, torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_1&, c10::StrongTypePtr, c10::IValue>(torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_1&, c10::StrongTypePtr&&, c10::IValue&&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:113:9
    pytorch#15 0xec2b8ae in std::_Function_handler<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> > (c10::StrongTypePtr, c10::IValue), torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_1>::_M_invoke(std::_Any_data const&, c10::StrongTypePtr&&, c10::IValue&&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/std_function.h:291:9
    pytorch#16 0xeda0c63 in std::function<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> > (c10::StrongTypePtr, c10::IValue)>::operator()(c10::StrongTypePtr, c10::IValue) const /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/std_function.h:622:14
    pytorch#17 0xed8062d in torch::jit::Unpickler::readGlobal(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_9::operator()() const /pytorch/torch/csrc/jit/serialization/unpickler.cpp:863:20
    pytorch#18 0xed8062d in void std::__invoke_impl<void, torch::jit::Unpickler::readGlobal(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_9&>(std::__invoke_other, torch::jit::Unpickler::readGlobal(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)::$_9&) /usr/bin/../lib/gcc/x86_64-linux-gnu/10/../../../../include/c++/10/bits/invoke.h:60:14
    pytorch#19 0xed877c6 in torch::jit::Unpickler::readInstruction() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:545:7
    pytorch#20 0xed85b27 in torch::jit::Unpickler::run() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:253:27
    pytorch#21 0xed85781 in torch::jit::Unpickler::parse_ivalue() /pytorch/torch/csrc/jit/serialization/unpickler.cpp:206:3
    pytorch#22 0xec9c7be in torch::jit::readArchiveAndTensors(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<std::function<c10::StrongTypePtr (c10::QualifiedName const&)> >, c10::optional<std::function<c10::intrusive_ptr<c10::ivalue::Object, c10::detail::intrusive_target_default_null_type<c10::ivalue::Object> > (c10::StrongTypePtr, c10::IValue)> >, c10::optional<c10::Device>, caffe2::serialize::PyTorchStreamReader&, c10::Type::SingletonOrSharedTypePtr<c10::Type> (*)(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&), std::shared_ptr<torch::jit::DeserializationStorageContext>) /pytorch/torch/csrc/jit/serialization/import_read.cpp:53:20
    pytorch#23 0xec2b168 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::readArchive(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) /pytorch/torch/csrc/jit/serialization/import.cpp:184:10
    pytorch#24 0xec27235 in torch::jit::(anonymous namespace)::ScriptModuleDeserializer::deserialize(c10::optional<c10::Device>, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >&, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:287:19
    pytorch#25 0xec25644 in torch::jit::import_ir_module(std::shared_ptr<torch::jit::CompilationUnit>, std::istream&, c10::optional<c10::Device>, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >&, bool, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:389:25
    pytorch#26 0xec2dcbe in torch::jit::import_ir_module(std::shared_ptr<torch::jit::CompilationUnit>, std::istream&, c10::optional<c10::Device>, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:325:10
    pytorch#27 0xec30659 in torch::jit::load(std::istream&, c10::optional<c10::Device>, bool) /pytorch/torch/csrc/jit/serialization/import.cpp:485:10
    pytorch#28 0x8d8636 in LLVMFuzzerTestOneInput /load.cc:42:14
    pytorch#29 0x8d835d in ExecuteFilesOnyByOne /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:255:7
    pytorch#30 0x8d8168 in LLVMFuzzerRunDriver /AFLplusplus/utils/aflpp_driver/aflpp_driver.c
    pytorch#31 0x8d7d28 in main /AFLplusplus/utils/aflpp_driver/aflpp_driver.c:300:10
    pytorch#32 0x7ffff7a37082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082) (BuildId: 1878e6b475720c7c51969e69ab2d276fae6d1dee)
    pytorch#33 0x817add in _start (/load_afl+0x817add)

AddressSanitizer can not provide additional info.
SUMMARY: AddressSanitizer: SEGV /pytorch/c10/util/Optional.h:222:17 in c10::optional_base<at::Tensor>::optional_base(c10::optional_base<at::Tensor> const&)
==1003193==ABORTING

```

Pull Request resolved: pytorch#108418
Approved by: https://github.com/Skylion007
titaiwangms pushed a commit that referenced this pull request Nov 9, 2023
@ezyang @pytorchmergebot
Use CapturedTraceback symbolizer for C++ exceptions from Python libra…
f98ba59 
…ry (pytorch#113207)

This is the cheap and cheerful implementation, which is only enabled on TORCH_SHOW_CPP_STACKTRACES, because it *eagerly* symbolizes immediately at exception throw time, even if the exception will end up getting caught. It would be better to do this lazily and only symbolize when we try to print the exception, but that requires a more involved refactor of c10::Error that I don't feel like doing.

Compare the output before:

```
frame #0: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x95 (0x7fa21b99d975 in /data/users/ezyang/c/pytorch/torch/lib/libc10.so)
frame #1: c10::TensorImpl::throw_cannot_call_with_symbolic(char const*) const + 0x8d (0x7fa21b951269 in /data/users/ezyang/c/pytorch/torch/lib/libc10.so)
frame #2: c10::TensorImpl::sizes_custom() const + 0x9f (0x7fa21b9770df in /data/users/ezyang/c/pytorch/torch/lib/libc10.so)
frame #3: at::meta::structured_mm::meta(at::Tensor const&, at::Tensor const&) + 0x31e (0x7fa20a202a8e in /data/users/ezyang/c/pytorch/torch/lib/libtorch_cpu.so)
frame #4: <unknown function> + 0x29f34de (0x7fa20b5f34de in /data/users/ezyang/c/pytorch/torch/lib/libtorch_cpu.so)
frame #5: <unknown function> + 0x2a1fd8e (0x7fa20b61fd8e in /data/users/ezyang/c/pytorch/torch/lib/libtorch_cpu.so)
frame pytorch#6: <unknown function> + 0x6b907b (0x7fa2142b907b in /data/users/ezyang/c/pytorch/torch/lib/libtorch_python.so)
frame pytorch#7: <unknown function> + 0x6b6175 (0x7fa2142b6175 in /data/users/ezyang/c/pytorch/torch/lib/libtorch_python.so)
```

and after:

```
#4 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) from ??:0
#5 c10::TensorImpl::throw_cannot_call_with_symbolic(char const*) const from ??:0
pytorch#6 c10::TensorImpl::sizes_custom() const [clone .localalias] from TensorImpl.cpp:0
pytorch#7 at::meta::structured_mm::meta(at::Tensor const&, at::Tensor const&) from ??:0
pytorch#8 at::(anonymous namespace)::wrapper_Meta_mm_out_out(at::Tensor const&, at::Tensor const&, at::Tensor&) from RegisterMeta.cpp:0
pytorch#9 c10::impl::make_boxed_from_unboxed_functor<c10::impl::detail::WrapFunctionIntoFunctor_<c10::CompileTimeFunctionPointer<at::Tensor& (at::Tensor const&, at::Tensor const&, at::Tensor&), &at::(anonymous namespace)::wrapper_Meta_mm_out_out>, at::Tensor&, c10::guts::typelist::typelist<at::Tensor const&, at::Tensor const&, at::Tensor&> >, false>::call(c10::OperatorKernel*, c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) from RegisterMeta.cpp:0
```

Signed-off-by: Edward Z. Yang <ezyang@meta.com>
Pull Request resolved: pytorch#113207
Approved by: https://github.com/Skylion007
titaiwangms pushed a commit that referenced this pull request Dec 5, 2023
@huydhn @pytorchmergebot
Disable bugprone-unchecked-optional-access as it can cause clang-tidy…
5de0dff 
… to hang (pytorch#115124)

Let's see if it helps pytorch#114913

The issues on llvm are at llvm/llvm-project#55530 and llvm/llvm-project#69369.  In my CI test, I saw the following process hanged:

```
/pytorch/pytorch/.lintbin/clang-tidy -p=/pytorch/pytorch/build --extra-arg -I/usr/lib/llvm-11/include/openmp --extra-arg -I/opt/conda/envs/py_3.9/include/python3.9 --extra-arg -I/pytorch/pytorch/third_party/pybind11/include --extra-arg -I/usr/bin/../lib/gcc/x86_64-linux-gnu/11/../../../../include/c++/11 --extra-arg -I/usr/bin/../lib/gcc/x86_64-linux-gnu/11/../../../../include/x86_64-linux-gnu/c++/11 --extra-arg -I/usr/bin/../lib/gcc/x86_64-linux-gnu/11/../../../../include/c++/11/backward --extra-arg -I/usr/lib/llvm-14/lib/clang/14.0.0/include --extra-arg -I/usr/local/include --extra-arg -I/usr/include/x86_64-linux-gnu --extra-arg -I/usr/include /pytorch/pytorch/torch/csrc/autograd/python_nested_functions_manual.cpp
```

and the core dump matches the description found in llvm/llvm-project#69369 showing the stuck in `clang::tidy::bugprone::UncheckedOptionalAccessCheck::check`:

```
#0  0x00000000030c7420 in clang::dataflow::WatchedLiteralsSolverImpl::updateWatchedLiterals() ()
#1  0x00000000030c6c2a in clang::dataflow::WatchedLiteralsSolverImpl::solve() && ()
#2  0x00000000030c6572 in clang::dataflow::WatchedLiteralsSolver::solve(llvm::DenseSet<clang::dataflow::BoolValue*, llvm::DenseMapInfo<clang::dataflow::BoolValue*, void> >) ()
#3  0x00000000030b3bd3 in clang::dataflow::DataflowAnalysisContext::querySolver(llvm::DenseSet<clang::dataflow::BoolValue*, llvm::DenseMapInfo<clang::dataflow::BoolValue*, void> >) ()
#4  0x00000000030b3ca5 in clang::dataflow::DataflowAnalysisContext::flowConditionImplies(clang::dataflow::AtomicBoolValue&, clang::dataflow::BoolValue&) ()
#5  0x00000000030b1213 in clang::dataflow::(anonymous namespace)::diagnoseUnwrapCall(clang::Expr const*, clang::Expr const*, clang::dataflow::Environment const&) ()
pytorch#6  0x00000000030b1357 in std::_Function_handler<std::vector<clang::SourceLocation, std::allocator<clang::SourceLocation> > (clang::CallExpr const*, clang::ast_matchers::MatchFinder::MatchResult const&, clang::dataflow::Environment const&), clang::dataflow::(anonymous namespace)::buildDiagnoseMatchSwitch(clang::dataflow::UncheckedOptionalAccessModelOptions const&)::$_7>::_M_invoke(std::_Any_data const&, clang::CallExpr const*&&, clang::ast_matchers::MatchFinder::MatchResult const&, clang::dataflow::Environment const&) ()
pytorch#7  0x00000000030b1292 in std::_Function_handler<std::vector<clang::SourceLocation, std::allocator<clang::SourceLocation> > (clang::Stmt const*, clang::ast_matchers::MatchFinder::MatchResult const&, clang::dataflow::Environment const&), clang::dataflow::MatchSwitchBuilder<clang::dataflow::Environment const, std::vector<clang::SourceLocation, std::allocator<clang::SourceLocation> > >::CaseOf<clang::CallExpr>(clang::ast_matchers::internal::Matcher<clang::Stmt>, std::function<std::vector<clang::SourceLocation, std::allocator<clang::SourceLocation> > (clang::CallExpr const*, clang::ast_matchers::MatchFinder::MatchResult const&, clang::dataflow::Environment const&)>) &&::{lambda(clang::Stmt const*, clang::ast_matchers::MatchFinder::MatchResult const&, clang::dataflow::Environment const&)#1}>::_M_invoke(std::_Any_data const&, clang::Stmt const*&&, clang::ast_matchers::MatchFinder::MatchResult const&, clang::dataflow::Environment const&) ()
pytorch#8  0x00000000030b1995 in clang::dataflow::MatchSwitchBuilder<clang::dataflow::Environment const, std::vector<clang::SourceLocation, std::allocator<clang::SourceLocation> > >::Build() &&::{lambda(clang::Stmt const&, clang::ASTContext&, clang::dataflow::Environment const&)#1}::operator()(clang::Stmt const&, clang::ASTContext&, clang::dataflow::Environment const&) const ()
pytorch#9  0x00000000030b170c in std::_Function_handler<std::vector<clang::SourceLocation, std::allocator<clang::SourceLocation> > (clang::Stmt const&, clang::ASTContext&, clang::dataflow::Environment const&), clang::dataflow::MatchSwitchBuilder<clang::dataflow::Environment const, std::vector<clang::SourceLocation, std::allocator<clang::SourceLocation> > >::Build() &&::{lambda(clang::Stmt const&, clang::ASTContext&, clang::dataflow::Environment const&)#1}>::_M_invoke(std::_Any_data const&, clang::Stmt const&, clang::ASTContext&, clang::dataflow::Environment const&) ()
pytorch#10 0x00000000030a7c27 in clang::dataflow::UncheckedOptionalAccessDiagnoser::diagnose(clang::ASTContext&, clang::Stmt const*, clang::dataflow::Environment const&) ()
pytorch#11 0x0000000002931286 in std::_Function_handler<void (clang::Stmt const*, clang::dataflow::DataflowAnalysisState<clang::dataflow::NoopLattice> const&), clang::tidy::bugprone::analyzeFunction(clang::FunctionDecl const&, clang::ASTContext&)::$_0>::_M_invoke(std::_Any_data const&, clang::Stmt const*&&, clang::dataflow::DataflowAnalysisState<clang::dataflow::NoopLattice> const&) ()
pytorch#12 0x0000000002930b41 in clang::dataflow::runDataflowAnalysis<clang::dataflow::UncheckedOptionalAccessModel>(clang::dataflow::ControlFlowContext const&, clang::dataflow::UncheckedOptionalAccessModel&, clang::dataflow::Environment const&, std::function<void (clang::Stmt const*, clang::dataflow::DataflowAnalysisState<clang::dataflow::UncheckedOptionalAccessModel::Lattice> const&)>)::{lambda(clang::Stmt const*, clang::dataflow::TypeErasedDataflowAnalysisState const&)#1}::operator()(clang::Stmt const*, clang::dataflow::TypeErasedDataflowAnalysisState const&) const ()
pytorch#13 0x00000000030c18cc in std::_Function_handler<void (clang::CFGStmt const&, clang::dataflow::TypeErasedDataflowAnalysisState const&), clang::dataflow::runTypeErasedDataflowAnalysis(clang::dataflow::ControlFlowContext const&, clang::dataflow::TypeErasedDataflowAnalysis&, clang::dataflow::Environment const&, std::function<void (clang::Stmt const*, clang::dataflow::TypeErasedDataflowAnalysisState const&)>)::$_1>::_M_invoke(std::_Any_data const&, clang::CFGStmt const&, clang::dataflow::TypeErasedDataflowAnalysisState const&) ()
pytorch#14 0x00000000030bf069 in clang::dataflow::transferBlock(clang::dataflow::ControlFlowContext const&, std::vector<llvm::Optional<clang::dataflow::TypeErasedDataflowAnalysisState>, std::allocator<llvm::Optional<clang::dataflow::TypeErasedDataflowAnalysisState> > >&, clang::CFGBlock const&, clang::dataflow::Environment const&, clang::dataflow::TypeErasedDataflowAnalysis&, std::function<void (clang::CFGStmt const&, clang::dataflow::TypeErasedDataflowAnalysisState const&)>) ()
pytorch#15 0x00000000030bfaa5 in clang::dataflow::runTypeErasedDataflowAnalysis(clang::dataflow::ControlFlowContext const&, clang::dataflow::TypeErasedDataflowAnalysis&, clang::dataflow::Environment const&, std::function<void (clang::Stmt const*, clang::dataflow::TypeErasedDataflowAnalysisState const&)>) ()
pytorch#16 0x00000000029301b3 in llvm::Expected<std::vector<llvm::Optional<clang::dataflow::DataflowAnalysisState<clang::dataflow::UncheckedOptionalAccessModel::Lattice> >, std::allocator<llvm::Optional<clang::dataflow::DataflowAnalysisState<clang::dataflow::UncheckedOptionalAccessModel::Lattice> > > > > clang::dataflow::runDataflowAnalysis<clang::dataflow::UncheckedOptionalAccessModel>(clang::dataflow::ControlFlowContext const&, clang::dataflow::UncheckedOptionalAccessModel&, clang::dataflow::Environment const&, std::function<void (clang::Stmt const*, clang::dataflow::DataflowAnalysisState<clang::dataflow::UncheckedOptionalAccessModel::Lattice> const&)>) ()
pytorch#17 0x000000000292fbe8 in clang::tidy::bugprone::UncheckedOptionalAccessCheck::check(clang::ast_matchers::MatchFinder::MatchResult const&) ()
pytorch#18 0x00000000022e1572 in clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor::MatchVisitor::visitMatch(clang::ast_matchers::BoundNodes const&) ()
pytorch#19 0x0000000002797a1c in clang::ast_matchers::internal::BoundNodesTreeBuilder::visitMatches(clang::ast_matchers::internal::BoundNodesTreeBuilder::Visitor*) ()
pytorch#20 0x00000000022e0dc6 in clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor::matchWithFilter(clang::DynTypedNode const&) ()
pytorch#21 0x00000000022e3b57 in clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor::TraverseDecl(clang::Decl*) ()
pytorch#22 0x00000000022e4c0c in clang::RecursiveASTVisitor<clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor>::TraverseDecl(clang::Decl*) ()
pytorch#23 0x00000000022e3b62 in clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor::TraverseDecl(clang::Decl*) ()
pytorch#24 0x00000000022e4c0c in clang::RecursiveASTVisitor<clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor>::TraverseDecl(clang::Decl*) ()
pytorch#25 0x00000000022e3b62 in clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor::TraverseDecl(clang::Decl*) ()
pytorch#26 0x00000000022e4c0c in clang::RecursiveASTVisitor<clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor>::TraverseDecl(clang::Decl*) ()
pytorch#27 0x00000000022e3b62 in clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor::TraverseDecl(clang::Decl*) ()
pytorch#28 0x00000000022e4c0c in clang::RecursiveASTVisitor<clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor>::TraverseDecl(clang::Decl*) ()
pytorch#29 0x00000000022e3b62 in clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor::TraverseDecl(clang::Decl*) ()
pytorch#30 0x00000000022e8791 in clang::RecursiveASTVisitor<clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor>::TraverseDecl(clang::Decl*) ()
pytorch#31 0x00000000022e3b62 in clang::ast_matchers::internal::(anonymous namespace)::MatchASTVisitor::TraverseDecl(clang::Decl*) ()
pytorch#32 0x00000000022c017a in clang::ast_matchers::MatchFinder::matchAST(clang::ASTContext&) ()
pytorch#33 0x000000000370ad3c in clang::MultiplexConsumer::HandleTranslationUnit(clang::ASTContext&) ()
pytorch#34 0x00000000038ed4bb in clang::ParseAST(clang::Sema&, bool, bool) ()
pytorch#35 0x000000000369eda7 in clang::FrontendAction::Execute() ()
pytorch#36 0x000000000360d3f6 in clang::CompilerInstance::ExecuteAction(clang::FrontendAction&) ()
pytorch#37 0x00000000027c475c in clang::tooling::FrontendActionFactory::runInvocation(std::shared_ptr<clang::CompilerInvocation>, clang::FileManager*, std::shared_ptr<clang::PCHContainerOperations>, clang::DiagnosticConsumer*) ()
pytorch#38 0x00000000022ad486 in clang::tidy::runClangTidy(clang::tidy::ClangTidyContext&, clang::tooling::CompilationDatabase const&, llvm::ArrayRef<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, llvm::IntrusiveRefCntPtr<llvm::vfs::OverlayFileSystem>, bool, bool, llvm::StringRef)::ActionFactory::runInvocation(std::shared_ptr<clang::CompilerInvocation>, clang::FileManager*, std::shared_ptr<clang::PCHContainerOperations>, clang::DiagnosticConsumer*) ()
pytorch#39 0x00000000027c44c6 in clang::tooling::ToolInvocation::runInvocation(char const*, clang::driver::Compilation*, std::shared_ptr<clang::CompilerInvocation>, std::shared_ptr<clang::PCHContainerOperations>) ()
pytorch#40 0x00000000027c360b in clang::tooling::ToolInvocation::run() ()
pytorch#41 0x00000000027c5bb1 in clang::tooling::ClangTool::run(clang::tooling::ToolAction*) ()
pytorch#42 0x00000000022a90c7 in clang::tidy::runClangTidy(clang::tidy::ClangTidyContext&, clang::tooling::CompilationDatabase const&, llvm::ArrayRef<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, llvm::IntrusiveRefCntPtr<llvm::vfs::OverlayFileSystem>, bool, bool, llvm::StringRef) ()
pytorch#43 0x0000000001ebc7f2 in clang::tidy::clangTidyMain(int, char const**) ()
pytorch#44 0x0000000004c54ba0 in __libc_start_main ()
pytorch#45 0x0000000001eb76ae in _start ()
```

Another note is that clang-tidy is CPU-bound.  So we could consider running lintrunner job on 4xlarge if needed.
Pull Request resolved: pytorch#115124
Approved by: https://github.com/kit1980, https://github.com/Skylion007, https://github.com/malfet
titaiwangms pushed a commit that referenced this pull request Jan 8, 2024
@malfet @pytorchmergebot
[MPS][BE] Do not crash if Metal function can not be found (pytorch#11…
9557b63 
…6938)

As [`newFunctionWithName:`](https://developer.apple.com/documentation/metal/mtllibrary/1515524-newfunctionwithname) does not accept error argument, do not attempt to print it as it'll be guaranteed `nil` at that point, that results in a classic null pointer dereference, when `TORCH_CHECK` will attempt to construct `std::string` from it. See below backtrace for example:
```
 thread #1, queue = 'metal gpu stream', stop reason = EXC_BAD_ACCESS (code=1, address=0x0)
    frame #0: 0x000000018a316dc4 libsystem_platform.dylib`_platform_strlen + 4
    frame #1: 0x00000001471011bc libtorch_cpu.dylib`std::__1::__constexpr_strlen[abi:v160006](__str=0x0000000000000000) at cstring:114:10
    frame #2: 0x0000000147100c24 libtorch_cpu.dylib`std::__1::char_traits<char>::length(__s=0x0000000000000000) at char_traits.h:220:12
  * frame #3: 0x0000000147100bf0 libtorch_cpu.dylib`std::__1::basic_ostream<char, std::__1::char_traits<char>>& std::__1::operator<<[abi:v160006]<std::__1::char_traits<char>>(__os=0x000000016fdfb3a0, __str=0x0000000000000000) at ostream:901:57
    frame #4: 0x0000000147100bb4 libtorch_cpu.dylib`std::__1::basic_ostream<char, std::__1::char_traits<char>>& c10::detail::_str<char const*>(ss=0x000000016fdfb3a0, t=0x000000016fdfb5d0) at StringUtil.h:55:6
    frame #5: 0x00000001471007ac libtorch_cpu.dylib`std::__1::basic_ostream<char, std::__1::char_traits<char>>& c10::detail::_str<char const*, char const*>(ss=0x000000016fdfb3a0, t=0x000000016fdfb4f8, args=0x000000016fdfb5d0) at StringUtil.h:68:10
    frame pytorch#6: 0x0000000147101444 libtorch_cpu.dylib`std::__1::basic_ostream<char, std::__1::char_traits<char>>& c10::detail::_str<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, char const*, char const*>(ss=0x000000016fdfb3a0, t="index_select_32bit_idx32", args=0x000000016fdfb4f8, args=0x000000016fdfb5d0) at StringUtil.h:68:10
    frame pytorch#7: 0x0000000147101404 libtorch_cpu.dylib`std::__1::basic_ostream<char, std::__1::char_traits<char>>& c10::detail::_str<char const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, char const*, char const*>(ss=0x000000016fdfb3a0, t=0x000000016fdfb500, args="index_select_32bit_idx32", args=0x000000016fdfb4f8, args=0x000000016fdfb5d0) at StringUtil.h:68:10
    frame pytorch#8: 0x000000014710137c libtorch_cpu.dylib`c10::detail::_str_wrapper<char const*, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>> const&, char const*, char const* const&>::call(args=0x000000016fdfb500, args="index_select_32bit_idx32", args=0x000000016fdfb4f8, args=0x000000016fdfb5d0) at StringUtil.h:75:5
    frame pytorch#9: 0x0000000147101310 libtorch_cpu.dylib`decltype(auto) c10::str<char [53], std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, char [10], char const*>(args={a\xcb\xa7H\x01\0\0\0}, args="index_select_32bit_idx32", args={\x96\xcb\xa7H\x01\0\0\0}, args=0x000000016fdfb5d0) at StringUtil.h:111:10
    frame pytorch#10: 0x0000000147100210 libtorch_cpu.dylib`decltype(auto) c10::detail::torchCheckMsgImpl<char [53], std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char>>, char [10], char const*>((null)="Expected indexFunction to be true, but got false.  (Could this error message be improved?  If so, please report an enhancement request to PyTorch.)", args={a\xcb\xa7H\x01\0\0\0}, args="index_select_32bit_idx32", args={\x96\xcb\xa7H\x01\0\0\0}, args=0x000000016fdfb5d0) at Exception.h:453:10
    frame pytorch#11: 0x00000001470fffe8 libtorch_cpu.dylib`at::mps::MPSDevice::metalIndexingPSO(this=0x0000600000381670, kernel="index_select_32bit_idx32") at MPSDevice.mm:62:3
```

This was introduced by pytorch#99855 that replaced `newFunctionWithName:constantValues:error:` with `newFunctionWithName:`
Pull Request resolved: pytorch#116938
Approved by: https://github.com/Skylion007
titaiwangms pushed a commit that referenced this pull request Feb 3, 2024
@weifengpy @pytorchmergebot
[c10d] logging utility for cpp-python stacktrace (pytorch#118924)
63fd688 
user may not know which line of code called collectives in a big code base. When debugging, we can print python-cpp stacktrace in case user call ``ProcessGroup.reduce`` instead of ``torch.distributed.reduce``

```
LOG(INFO) << "ProcessGroupNCCL::_allgather_base stacktrace: "
                       << get_python_cpp_trace();
```

output (using _allgather_base as an example): one example python-part trace is ``all_gather_into_tensor from /data/users/weif/pytorch/torch/distributed/distributed_c10d.py:2838``
```
ProcessGroupNCCL::_allgather_base stacktrace: #0 torch::unwind::unwind() from ??:0
#1 torch::CapturedTraceback::gather(bool, bool, bool) from ??:0
#2 c10d::get_python_cpp_trace[abi:cxx11]() from :0
#3 c10d::ProcessGroupNCCL::_allgather_base(at::Tensor&, at::Tensor&, c10d::AllgatherOptions const&) from ??:0
#4 c10d::ops::(anonymous namespace)::_allgather_base_CUDA(at::Tensor&, at::Tensor&, c10::intrusive_ptr<c10d::ProcessGroup, c10::detail::intrusive_target_default_null_type<c10d::ProcessGroup> > const&, bool, long) from Ops.cpp:0
#5 c10::impl::make_boxed_from_unboxed_functor<c10::impl::detail::WrapFunctionIntoRuntimeFunctor_<std::tuple<at::Tensor, c10::intrusive_ptr<c10d::Work, c10::detail::intrusive_target_default_null_type<c10d::Work> > > (*)(at::Tensor&, at::Tensor&, c10::intrusive_ptr<c10d::ProcessGroup, c10::detail::intrusive_target_default_null_type<c10d::ProcessGroup> > const&, bool, long), std::tuple<at::Tensor, c10::intrusive_ptr<c10d::Work, c10::detail::intrusive_target_default_null_type<c10d::Work> > >, c10::guts::typelist::typelist<at::Tensor&, at::Tensor&, c10::intrusive_ptr<c10d::ProcessGroup, c10::detail::intrusive_target_default_null_type<c10d::ProcessGroup> > const&, bool, long> >, false>::call(c10::OperatorKernel*, c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) from :0
pytorch#6 torch::autograd::basicAutogradNotImplementedFallbackImpl(c10::OperatorHandle const&, c10::DispatchKeySet, std::vector<c10::IValue, std::allocator<c10::IValue> >*) from autograd_not_implemented_fallback.cpp:0
pytorch#7 c10d::ProcessGroup::_allgather_base(at::Tensor&, at::Tensor&, c10d::AllgatherOptions const&) from :0
pytorch#8 pybind11::cpp_function::initialize<pybind11::cpp_function::initialize<c10::intrusive_ptr<c10d::Work, c10::detail::intrusive_target_default_null_type<c10d::Work> >, c10d::ProcessGroup, at::Tensor&, at::Tensor&, c10d::AllgatherOptions const&, pybind11::name, pybind11::is_method, pybind11::sibling, pybind11::arg, pybind11::arg, pybind11::arg_v, pybind11::call_guard<pybind11::gil_scoped_release> >(c10::intrusive_ptr<c10d::Work, c10::detail::intrusive_target_default_null_type<c10d::Work> > (c10d::ProcessGroup::*)(at::Tensor&, at::Tensor&, c10d::AllgatherOptions const&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&, pybind11::arg const&, pybind11::arg const&, pybind11::arg_v const&, pybind11::call_guard<pybind11::gil_scoped_release> const&)::{lambda(c10d::ProcessGroup*, at::Tensor&, at::Tensor&, c10d::AllgatherOptions const&)#1}, c10::intrusive_ptr<c10d::Work, c10::detail::intrusive_target_default_null_type<c10d::Work> >, c10d::ProcessGroup*, at::Tensor&, at::Tensor&, c10d::AllgatherOptions const&, pybind11::name, pybind11::is_method, pybind11::sibling, pybind11::arg, pybind11::arg, pybind11::arg_v, pybind11::call_guard<pybind11::gil_scoped_release> >(pybind11::cpp_function::initialize<c10::intrusive_ptr<c10d::Work, c10::detail::intrusive_target_default_null_type<c10d::Work> >, c10d::ProcessGroup, at::Tensor&, at::Tensor&, c10d::AllgatherOptions const&, pybind11::name, pybind11::is_method, pybind11::sibling, pybind11::arg, pybind11::arg, pybind11::arg_v, pybind11::call_guard<pybind11::gil_scoped_release> >(c10::intrusive_ptr<c10d::Work, c10::detail::intrusive_target_default_null_type<c10d::Work> > (c10d::ProcessGroup::*)(at::Tensor&, at::Tensor&, c10d::AllgatherOptions const&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&, pybind11::arg const&, pybind11::arg const&, pybind11::arg_v const&, pybind11::call_guard<pybind11::gil_scoped_release> const&)::{lambda(c10d::ProcessGroup*, at::Tensor&, at::Tensor&, c10d::AllgatherOptions const&)#1}&&, c10::intrusive_ptr<c10d::Work, c10::detail::intrusive_target_default_null_type<c10d::Work> > (*)(c10d::ProcessGroup*, at::Tensor&, at::Tensor&, c10d::AllgatherOptions const&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&, pybind11::arg const&, pybind11::arg const&, pybind11::arg_v const&, pybind11::call_guard<pybind11::gil_scoped_release> const&)::{lambda(pybind11::detail::function_call&)#3}::_FUN(pybind11::detail::function_call&) from :0
pytorch#9 pybind11::cpp_function::dispatcher(_object*, _object*, _object*) from :0
pytorch#10 cfunction_call from /usr/local/src/conda/python-3.10.12/Objects/methodobject.c:543
pytorch#11 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.12/Objects/call.c:215
pytorch#12 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:112
pytorch#13 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:114
pytorch#14 all_gather_into_tensor from /data/users/weif/pytorch/torch/distributed/distributed_c10d.py:2838
pytorch#15 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46
pytorch#16 do_call_core from /usr/local/src/conda/python-3.10.12/Python/ceval.c:5945
pytorch#17 wrapper from /data/users/weif/pytorch/torch/distributed/c10d_logger.py:75
pytorch#18 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46
pytorch#19 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:114
pytorch#20 _all_gather_flat_param from /data/users/weif/pytorch/torch/distributed/fsdp/_flat_param.py:1399
pytorch#21 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46
pytorch#22 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:114
pytorch#23 unshard from /data/users/weif/pytorch/torch/distributed/fsdp/_flat_param.py:1308
pytorch#24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46
pytorch#25 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:114
pytorch#26 _unshard from /data/users/weif/pytorch/torch/distributed/fsdp/_runtime_utils.py:332
pytorch#27 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46
pytorch#28 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:114
pytorch#29 _pre_forward_unshard from /data/users/weif/pytorch/torch/distributed/fsdp/_runtime_utils.py:448
pytorch#30 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46
pytorch#31 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:114
pytorch#32 _pre_forward from /data/users/weif/pytorch/torch/distributed/fsdp/_runtime_utils.py:413
pytorch#33 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46
pytorch#34 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:114
pytorch#35 forward from /data/users/weif/pytorch/torch/distributed/fsdp/fully_sharded_data_parallel.py:839
pytorch#36 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46
pytorch#37 do_call_core from /usr/local/src/conda/python-3.10.12/Python/ceval.c:5945
pytorch#38 _call_impl from /data/users/weif/pytorch/torch/nn/modules/module.py:1520
pytorch#39 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46
pytorch#40 do_call_core from /usr/local/src/conda/python-3.10.12/Python/ceval.c:5945
pytorch#41 _wrapped_call_impl from /data/users/weif/pytorch/torch/nn/modules/module.py:1511
pytorch#42 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46
pytorch#43 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.12/Objects/call.c:431
pytorch#44 slot_tp_call from /usr/local/src/conda/python-3.10.12/Objects/typeobject.c:7494
pytorch#45 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.12/Objects/call.c:215
pytorch#46 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:112
pytorch#47 inner from /data/users/weif/pytorch/run_fsdp.py:72
pytorch#48 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46
pytorch#49 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:114
pytorch#50 run from /data/users/weif/pytorch/run_fsdp.py:76
pytorch#51 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46
pytorch#52 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:114
pytorch#53 main from /data/users/weif/pytorch/run_fsdp.py:133
pytorch#54 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46
pytorch#55 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.12/Include/cpython/abstract.h:114
pytorch#56 <module> from /data/users/weif/pytorch/run_fsdp.py:137
pytorch#57 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.12/Include/internal/pycore_ceval.h:46
pytorch#58 PyEval_EvalCode from /usr/local/src/conda/python-3.10.12/Python/ceval.c:1134
pytorch#59 run_eval_code_obj from /usr/local/src/conda/python-3.10.12/Python/pythonrun.c:1291
pytorch#60 run_mod from /usr/local/src/conda/python-3.10.12/Python/pythonrun.c:1312
pytorch#61 pyrun_file from /usr/local/src/conda/python-3.10.12/Python/pythonrun.c:1208
pytorch#62 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.12/Python/pythonrun.c:456
pytorch#63 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.12/Python/pythonrun.c:90
pytorch#64 pymain_run_file_obj from /usr/local/src/conda/python-3.10.12/Modules/main.c:357
pytorch#65 Py_BytesMain from /usr/local/src/conda/python-3.10.12/Modules/main.c:1090
pytorch#66 __libc_start_call_main from ??:0
pytorch#67 <unwind unsupported> from ??:0
```

Pull Request resolved: pytorch#118924
Approved by: https://github.com/kwen2501
titaiwangms pushed a commit that referenced this pull request May 22, 2024
@cdzhan @pytorchmergebot
Fix caching allocator of out-of-tree device is destructed before the … (
40cc616 
pytorch#126677)

…destruction of tensors cached by autocast

## Root Cause
For out-of-tree device extension it is loaded after torch (different .so), so the global variable `cached_casts` may be constructed before caching allocator and then destructed in reversed order when exit.

## Fix
Lazily initialize `cached_casts` to correct the order.

## How to Reproduce && Test
Modify the testcase `TestAutocastGPU.test_cast_cache_is_global` in test/test_autocast.py  to run on your out-of-tree device. You will see following failure in the end of test.
```bash
----------------------------------------------------------------------
Ran 1 test in 4.812s

OK
free: 0x30080ff44000400
terminate called after throwing an instance of 'c10::Error'
  what():  invalid device pointer: 0x30080ff44000400
Exception raised from free at /projs/framework/betterman/code/pytorch_new/catch/torch_mlu/csrc/framework/core/caching_allocator.cpp:1609 (most recent call first):
frame #0: <unknown function> + 0x118fe1 (0x7ffaef4d3fe1 in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so)
frame #1: <unknown function> + 0x11b1c4 (0x7ffaef4d61c4 in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so)
frame #2: <unknown function> + 0x117677 (0x7ffaef4d2677 in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so)
frame #3: <unknown function> + 0x11a2bf (0x7ffaef4d52bf in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so)
frame #4: <unknown function> + 0x11a186 (0x7ffaef4d5186 in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so)
frame #5: <unknown function> + 0x119fde (0x7ffaef4d4fde in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so)
frame pytorch#6: <unknown function> + 0x119d2e (0x7ffaef4d4d2e in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so)
frame pytorch#7: <unknown function> + 0x119be0 (0x7ffaef4d4be0 in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so)
frame pytorch#8: <unknown function> + 0x119977 (0x7ffaef4d4977 in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so)
frame pytorch#9: <unknown function> + 0x119313 (0x7ffaef4d4313 in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so)
frame pytorch#10: <unknown function> + 0x118b4c (0x7ffaef4d3b4c in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so)
frame pytorch#11: c10::Error::Error(c10::SourceLocation, std::string) + 0x34 (0x7ffaef4d27c4 in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so)
frame pytorch#12: c10::detail::torchCheckFail(char const*, char const*, unsigned int, std::string const&) + 0x7f (0x7ffaef4d04ed in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so)
frame pytorch#13: torch_mlu::MLUCachingAllocator::Native::NativeCachingAllocator::free(void*) + 0xe6 (0x7ff9a8eeb112 in /projs/framework/betterman/code/pytorch_new/catch/torch_mlu/csrc/lib/libtorch_mlu.so)
frame pytorch#14: torch_mlu::MLUCachingAllocator::Native::local_raw_delete(void*) + 0x3b (0x7ff9a8ed9480 in /projs/framework/betterman/code/pytorch_new/catch/torch_mlu/csrc/lib/libtorch_mlu.so)                                                                                                                         frame pytorch#15: std::unique_ptr<void, void (*)(void*)>::~unique_ptr() + 0x50 (0x7ffb0a5ea322 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_python.so)
frame pytorch#16: <unknown function> + 0x1269890 (0x7ffb0a5e4890 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_python.so)
frame pytorch#17: <unknown function> + 0x1269928 (0x7ffb0a5e4928 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_python.so)
frame pytorch#18: <unknown function> + 0x127572c (0x7ffb0a5f072c in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_python.so)
frame pytorch#19: <unknown function> + 0x1275758 (0x7ffb0a5f0758 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_python.so)
frame pytorch#20: <unknown function> + 0xb9bc7 (0x7ffaef474bc7 in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so)
frame pytorch#21: <unknown function> + 0xb97bc (0x7ffaef4747bc in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so)
frame pytorch#22: <unknown function> + 0xdbc50 (0x7ffaef496c50 in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so)
frame pytorch#23: c10::TensorImpl::~TensorImpl() + 0x82 (0x7ffaef49157e in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so)
frame pytorch#24: c10::TensorImpl::~TensorImpl() + 0x1c (0x7ffaef4915aa in /projs/framework/betterman/code/pytorch_new/torch/lib/libc10.so)
frame pytorch#25: <unknown function> + 0x2f596d9 (0x7ffaf24fc6d9 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so)
frame pytorch#26: <unknown function> + 0x2f589c2 (0x7ffaf24fb9c2 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so)
frame pytorch#27: <unknown function> + 0x2f57b92 (0x7ffaf24fab92 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so)
frame pytorch#28: <unknown function> + 0x2f5c228 (0x7ffaf24ff228 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so)
frame pytorch#29: <unknown function> + 0x30f3f70 (0x7ffaf2696f70 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so)
frame pytorch#30: <unknown function> + 0x30f3f90 (0x7ffaf2696f90 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so)
frame pytorch#31: <unknown function> + 0x30f5004 (0x7ffaf2698004 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so)                                                                                                                                                                                frame pytorch#32: <unknown function> + 0x30f5024 (0x7ffaf2698024 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so)
frame pytorch#33: <unknown function> + 0x31207f0 (0x7ffaf26c37f0 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so)
frame pytorch#34: <unknown function> + 0x3120814 (0x7ffaf26c3814 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so)
frame pytorch#35: <unknown function> + 0x30f51e8 (0x7ffaf26981e8 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so)
frame pytorch#36: <unknown function> + 0x30f5148 (0x7ffaf2698148 in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so)
frame pytorch#37: <unknown function> + 0x316ecea (0x7ffaf2711cea in /projs/framework/betterman/code/pytorch_new/torch/lib/libtorch_cpu.so)
frame pytorch#38: <unknown function> + 0x468a7 (0x7ffb0c9ed8a7 in /lib/x86_64-linux-gnu/libc.so.6)
frame pytorch#39: on_exit + 0 (0x7ffb0c9eda60 in /lib/x86_64-linux-gnu/libc.so.6)
<omitting python frames>
frame pytorch#47: __libc_start_main + 0xf3 (0x7ffb0c9cb083 in /lib/x86_64-linux-gnu/libc.so.6)

Aborted (core dumped)

```

Pull Request resolved: pytorch#126677
Approved by: https://github.com/ezyang
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