Re-sync with internal repository by facebook-github-bot · Pull Request #13 · pytorch/executorch

facebook-github-bot · 2023-07-20T05:03:15Z

The internal and external repositories are out of sync. This attempts to brings them back in sync by patching the GitHub repository. Please carefully review this patch. You must disable ShipIt for your project in order to merge this pull request. DO NOT IMPORT this pull request. Instead, merge it directly on GitHub using the MERGE BUTTON. Re-enable ShipIt after merging.

Summary: python -m executorch.examples.models.llama2.export_llama --disable_dynamic_shape --qnn --pt2e_quantize qnn_16a4w Segfault error stacktrace ``` [INFO] [Qnn ExecuTorch]: Initialize Qnn backend parameters for Qnn executorch backend type 2 [INFO] [Qnn ExecuTorch]: Caching: Caching is in SAVE MODE. [WARNING] [Qnn ExecuTorch]: Qnn API version 2.19.0 is used. The version is tested against 2.18.0. [INFO] [Qnn ExecuTorch]: Running level=3 optimization. AddressSanitizer:DEADLYSIGNAL ================================================================= ==1523599==ERROR: AddressSanitizer: SEGV on unknown address 0x000000000020 (pc 0x7f1585ee38e2 bp 0x7f16d5ab8800 sp 0x7ffed19ab8b0 T0) ==1523599==The signal is caused by a READ memory access. ==1523599==Hint: address points to the zero page. SCARINESS: 10 (null-deref) #0 0x7f1585ee38e2 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2ce38e2) (BuildId: bc3ab8ddc89a0e65) #1 0x7f1585dd8926 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2bd8926) (BuildId: bc3ab8ddc89a0e65) #2 0x7f15844d1161 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12d1161) (BuildId: bc3ab8ddc89a0e65) #3 0x7f15844dcac6 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12dcac6) (BuildId: bc3ab8ddc89a0e65) #4 0x7f15844d245b (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12d245b) (BuildId: bc3ab8ddc89a0e65) #5 0x7f15b9bc7b21 in auto torch::executor::qnn::QnnInterface::qnn_backend_validate_op_config<void*, Qnn_OpConfig_t>(void*, Qnn_OpConfig_t) const fbcode/executorch/backends/qualcomm/runtime/backends/QnnFunctionInterface.h:39 pytorch#6 0x7f15b9bc7682 in torch::executor::qnn::QnnBackend::BackendValidateOpConfig(Qnn_OpConfig_t const&) fbcode/executorch/backends/qualcomm/runtime/backends/QnnBackendCommon.h:41 pytorch#7 0x7f15b9bc7115 in torch::executor::qnn::QnnManager::IsNodeSupportedByBackend(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) fbcode/executorch/backends/qualcomm/runtime/QnnManager.cpp:450 pytorch#8 0x7f15b9dd44ee in torch::executor::qnn::PyQnnManager::IsNodeSupportedByBackend(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) fbcode/executorch/backends/qualcomm/aot/python/PyQnnManagerAdaptor.h:57 pytorch#9 0x7f15b9e5b986 in pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)::operator()(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) const fbsource/pybind11/pybind11.h:84 pytorch#10 0x7f15b9e5b8b5 in bool pybind11::detail::argument_loader<torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&>::call_impl<bool, pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&, 0ul, 1ul, pybind11::detail::void_type>(torch::executor::qnn::PyQnnManager&&, std::integer_sequence<unsigned long, 0ul, 1ul>, pybind11::detail::void_type&&) && fbsource/pybind11/cast.h:2042 pytorch#11 0x7f15b9e53831 in std::enable_if<!std::is_void<bool>::value, bool>::type pybind11::detail::argument_loader<torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&>::call<bool, pybind11::detail::void_type, pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&>(pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&) && fbsource/pybind11/cast.h:2014 pytorch#12 0x7f15b9e53454 in void pybind11::cpp_function::initialize<pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), bool, torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool&&, torch::executor::qnn::PyQnnManager (*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(pybind11::detail::function_call&)::operator()(pybind11::detail::function_call&) const fbsource/pybind11/pybind11.h:193 pytorch#13 0x7f15b9e530d3 in void pybind11::cpp_function::initialize<pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), bool, torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool&&, torch::executor::qnn::PyQnnManager (*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(pybind11::detail::function_call&)::__invoke(pybind11::detail::function_call&) fbsource/pybind11/pybind11.h:170 pytorch#14 0x7f15b9d8f707 in pybind11::cpp_function::dispatcher(_object*, _object*, _object*) fbsource/pybind11/pybind11.h:767 pytorch#15 0x327141 in cfunction_call(_object*, _object*, _object*) (.__uniq.281047882695835599676768160755749362799) (/usr/local/fbcode/platform010/bin/python3.10+0x327141) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#16 0x349630 in _PyObject_MakeTpCall (/usr/local/fbcode/platform010/bin/python3.10+0x349630) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#17 0x5897d4 in method_vectorcall(_object*, _object* const*, unsigned long, _object*) (.__uniq.243338978568352371442406765225626566013.llvm.6236606370933165261) (/usr/local/fbcode/platform010/bin/python3.10+0x5897d4) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#18 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#19 0x331421 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331421) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#20 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#21 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#22 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#23 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#24 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#25 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#26 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#27 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#28 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#29 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#30 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#31 0x331577 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331577) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#32 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#33 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#34 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#35 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#36 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#37 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#38 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#39 0x39ad7d in _PyObject_FastCallDictTstate (/usr/local/fbcode/platform010/bin/python3.10+0x39ad7d) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#40 0x3c8b72 in slot_tp_call(_object*, _object*, _object*) (.__uniq.235726554139783955843240177532338160225) (/usr/local/fbcode/platform010/bin/python3.10+0x3c8b72) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#41 0x392ca8 in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x392ca8) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#42 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#43 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#44 0x331b18 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331b18) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#45 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#46 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#47 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#48 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#49 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#50 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#51 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#52 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#53 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#54 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#55 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#56 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#57 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#58 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#59 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#60 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#61 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#62 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#63 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#64 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#65 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#66 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#67 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#68 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#69 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#70 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#71 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#72 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#73 0x431565 in PyEval_EvalCode (/usr/local/fbcode/platform010/bin/python3.10+0x431565) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#74 0x431447 in run_mod(_mod*, _object*, _object*, _object*, PyCompilerFlags*, _arena*) (.__uniq.251861886623903963524397139660542440724.llvm.17622910512627074885) (/usr/local/fbcode/platform010/bin/python3.10+0x431447) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#75 0x4e3054 in pyrun_file(_IO_FILE*, _object*, int, _object*, _object*, int, PyCompilerFlags*) (.__uniq.251861886623903963524397139660542440724) (/usr/local/fbcode/platform010/bin/python3.10+0x4e3054) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#76 0x4e2b54 in _PyRun_SimpleFileObject (/usr/local/fbcode/platform010/bin/python3.10+0x4e2b54) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#77 0x4e28f1 in _PyRun_AnyFileObject (/usr/local/fbcode/platform010/bin/python3.10+0x4e28f1) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#78 0x4d4a54 in Py_RunMain (/usr/local/fbcode/platform010/bin/python3.10+0x4d4a54) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#79 0x4d286b in pymain_main(_PyArgv*) (.__uniq.297908980262787110426434251325078884054) (/usr/local/fbcode/platform010/bin/python3.10+0x4d286b) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#80 0x4d2759 in Py_BytesMain (/usr/local/fbcode/platform010/bin/python3.10+0x4d2759) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#81 0x7f19e282c656 in __libc_start_call_main (/usr/local/fbcode/platform010/lib/libc.so.6+0x2c656) (BuildId: 93cdceeb8322234c38e1f2c93ad0ff10c7632fa6) pytorch#82 0x7f19e282c717 in __libc_start_main@GLIBC_2.2.5 (/usr/local/fbcode/platform010/lib/libc.so.6+0x2c717) (BuildId: 93cdceeb8322234c38e1f2c93ad0ff10c7632fa6) pytorch#83 0x553d90 in _start (/usr/local/fbcode/platform010/bin/python3.10+0x553d90) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) AddressSanitizer can not provide additional info. AddressSanitizer: SEGV (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2ce38e2) (BuildId: bc3ab8ddc89a0e65) ==1523599==ABORTING ``` Differential Revision: D63736779

cmake updates for openvino

…a Neutron Node inside a TFLite model. Merge in AITEC/executorch from feature/EIEX-52-neutron-backend-extraction-of-neutron-artefacts-from-tflite-flatbuffer to main-nxp * commit '306a3cb3fde378778e82959623fd0c8318dadddc': Add support for extracting the payload from a Neutron Node inside a TFLite model.

Summary: index should always be smaller than weight.size(0). Adding this check in `op_embedding`. This is to avoid wild-addr-read error: ``` AddressSanitizer:DEADLYSIGNAL ================================================================= ==3544359==ERROR: AddressSanitizer: SEGV on unknown address 0x7fce2364bc00 (pc 0x000002d225a0 bp 0x7ffffc792a40 sp 0x7ffffc792990 T0) ==3544359==The signal is caused by a READ memory access. SCARINESS: 20 (wild-addr-read) #0 0x2d225a0 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 #1 0x2d22367 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #2 0x2d2223d in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #3 0x2d21d37 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #4 0x2d21bca in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #5 0x2d20f8f in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #6 0x2d20e13 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #7 0x2d20d06 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #8 0x2d226b7 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::KernelRuntimeContext&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:329 #9 0x2d09bef in torch::executor::function::(anonymous namespace)::$_7::operator()(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) const buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:322 #10 0x2d09a70 in torch::executor::function::(anonymous namespace)::$_7::__invoke(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:297 #11 0x27d769b in executorch::runtime::Method::execute_instruction() xplat/executorch/runtime/executor/method.cpp:1306 #12 0x27d8c55 in executorch::runtime::Method::execute() xplat/executorch/runtime/executor/method.cpp:1550 #13 0x27b1e25 in executorch::extension::Module::execute(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char>> const&, std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.cpp:261 #14 0x27afe43 in executorch::extension::Module::forward(std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.h:340 #15 0x27e0519 in executorch::extension::llm::LlmBackboneRunner::run(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llm_backbone_runner.cpp:58 #16 0x27a35c9 in executorch::extension::llm::Llama4Runner::prefill_tokens(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llama4_runner.cpp:133 #17 0x885774 in main (/data/users/larryliu/fbsource/buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/cria/benchmark/llama4/__generation_main__/generation_main+0x885774) #18 0x7fce2122c656 in __libc_start_call_main /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/nptl/libc_start_call_main.h:58:16 #19 0x7fce2122c717 in __libc_start_main@GLIBC_2.2.5 /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../csu/libc-start.c:409:3 #20 0x884c20 in _start /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/x86_64/start.S:116 AddressSanitizer can not provide additional info. AddressSanitizer: SEGV xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) ==3544359==ABORTING ``` Differential Revision: D75982682

Summary: index should always be smaller than weight.size(0). Adding this check in `op_embedding`. This is to avoid wild-addr-read error: ``` AddressSanitizer:DEADLYSIGNAL ================================================================= ==3544359==ERROR: AddressSanitizer: SEGV on unknown address 0x7fce2364bc00 (pc 0x000002d225a0 bp 0x7ffffc792a40 sp 0x7ffffc792990 T0) ==3544359==The signal is caused by a READ memory access. SCARINESS: 20 (wild-addr-read) #0 0x2d225a0 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 #1 0x2d22367 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #2 0x2d2223d in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #3 0x2d21d37 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #4 0x2d21bca in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #5 0x2d20f8f in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #6 0x2d20e13 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #7 0x2d20d06 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #8 0x2d226b7 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::KernelRuntimeContext&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:329 #9 0x2d09bef in torch::executor::function::(anonymous namespace)::$_7::operator()(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) const buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:322 #10 0x2d09a70 in torch::executor::function::(anonymous namespace)::$_7::__invoke(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:297 #11 0x27d769b in executorch::runtime::Method::execute_instruction() xplat/executorch/runtime/executor/method.cpp:1306 #12 0x27d8c55 in executorch::runtime::Method::execute() xplat/executorch/runtime/executor/method.cpp:1550 #13 0x27b1e25 in executorch::extension::Module::execute(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char>> const&, std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.cpp:261 #14 0x27afe43 in executorch::extension::Module::forward(std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.h:340 #15 0x27e0519 in executorch::extension::llm::LlmBackboneRunner::run(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llm_backbone_runner.cpp:58 #16 0x27a35c9 in executorch::extension::llm::Llama4Runner::prefill_tokens(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llama4_runner.cpp:133 #17 0x885774 in main (/data/users/larryliu/fbsource/buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/cria/benchmark/llama4/__generation_main__/generation_main+0x885774) #18 0x7fce2122c656 in __libc_start_call_main /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/nptl/libc_start_call_main.h:58:16 #19 0x7fce2122c717 in __libc_start_main@GLIBC_2.2.5 /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../csu/libc-start.c:409:3 #20 0x884c20 in _start /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/x86_64/start.S:116 AddressSanitizer can not provide additional info. AddressSanitizer: SEGV xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) ==3544359==ABORTING ``` Test Plan: Imported from GitHub, without a `Test Plan:` line. Rollback Plan: Reviewed By: Gasoonjia Differential Revision: D75982682 Pulled By: larryliu0820

Improve error message

BNNS copy crashes the process when the dtypes differ (#11714). With the example in this PR (#11714), we crash the process on main. Here is the stack trace from LLDB: ``` Process 19234 stopped * thread #1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 libsystem_kernel.dylib`__pthread_kill: -> 0x190ac9388 <+8>: b.lo 0x190ac93a8 ; <+40> 0x190ac938c <+12>: pacibsp 0x190ac9390 <+16>: stp x29, x30, [sp, #-0x10]! 0x190ac9394 <+20>: mov x29, sp (lldb) bt * thread #1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT * frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 frame #1: 0x0000000190b0288c libsystem_pthread.dylib`pthread_kill + 296 frame #2: 0x0000000190a0bc60 libsystem_c.dylib`abort + 124 frame #3: 0x0000000190910174 libsystem_malloc.dylib`malloc_vreport + 892 frame #4: 0x0000000190913c90 libsystem_malloc.dylib`malloc_report + 64 frame #5: 0x000000019091821c libsystem_malloc.dylib`___BUG_IN_CLIENT_OF_LIBMALLOC_POINTER_BEING_FREED_WAS_NOT_ALLOCATED + 32 frame #6: 0x000000019d2f4084 libBNNS.dylib`___lldb_unnamed_symbol1620 + 564 frame #7: 0x000000019d2f5bac libBNNS.dylib`___lldb_unnamed_symbol1628 + 680 frame #8: 0x000000019d69ce48 libBNNS.dylib`BNNSCopy + 616 frame #9: 0x000000030c74d950 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy_using_bnns(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&) + 188 frame #10: 0x000000030c74cfdc _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) + 72 frame #11: 0x000000030c74ceec _portable_lib.cpython-310-darwin.so`executorchcoreml::MultiArray::copy(executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) const + 148 frame #12: 0x000000030c7488d4 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 376 frame #13: 0x000000030c748ac8 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 52 frame #14: 0x000000019ad33f4c CoreML`CoreML::MultiArrayBuffer::getBytesWithHandler(void (void const*, unsigned long) block_pointer) const + 340 frame #15: 0x000000019ad34138 CoreML`-[MLMultiArray(ScopedBufferAccess) getBytesWithHandler:] + 152 frame #16: 0x000000030c7485ec _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 296 frame #17: 0x000000030c744f68 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::set_outputs(std::__1::vector<executorchcoreml::MultiArray, std::__1::allocator<executorchcoreml::MultiArray>>&, NSArray<MLMultiArray*>*) + 180 ``` With this PR, the process succeeds.

Summary: At runtime this format specifier is not correctly handled. The misformatted string get's passed to strlen and eventually causes an assertion. ``` #0 strlen () at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/machine/xtensa/strlen.S:59 pytorch#1 0x610bd83d in _svfprintf_r (data=<optimized out>, fp=<optimized out>, fmt0=<optimized out>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vfprintf.c:1380 pytorch#2 0x610ffcf4 in _vsnprintf_r (ptr=<optimized out>, size=256, fmt=0x20 <error: Cannot access memory at address 0x20>, str=<optimized out>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vsnprintf.c:66 pytorch#3 vsnprintf (str=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", size=256, fmt=0x20 <error: Cannot access memory at address 0x20>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vsnprintf.c:41 pytorch#4 0x610d4ddd in executorch::runtime::internal::vlogf (level=<optimized out>, timestamp=<optimized out>, filename=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", function=0x60fd5fd7 "resolve_operator", line=735, format=0x60fd6023 "Missing operator: [%zd] %s", args=...) at xplat/executorch/runtime/platform/log.cpp:88 pytorch#5 0x610ce2db in executorch::runtime::internal::logf (level=executorch::runtime::LogLevel::Error, timestamp=3330441403, filename=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", function=0x14012d3e <irt_janus_workq_stack+5214> "\026\262\273\200\202", <incomplete sequence \306>, line=735, format=0x60fd6023 "Missing operator: [%zd] %s") at /execution-workspace/buck-out/v2/gen/fbsource/e7835b44f7cec64a/xplat/executorch/runtime/platform/__platform__/buck-headers/executorch/runtime/platform/log.h:140 pytorch#6 0x610d8b60 in executorch::runtime::Method::resolve_operator (this=<optimized out>, op_index=1, kernels=<optimized out>, kernel_index=<optimized out>, args=..., n_args=7) at xplat/executorch/runtime/executor/method.cpp:731 pytorch#7 0x60ff2d70 in executorch::runtime::Method::init (this=0x14012fa0 <irt_janus_workq_stack+5824>, s_plan=<optimized out>, external_data_map=<optimized out>) at xplat/executorch/runtime/executor/method.cpp:926 pytorch#8 0x610d8c33 in executorch::runtime::Method::load (s_plan=0xb21690b4, program=<optimized out>, memory_manager=0xabd400f0, event_tracer=0xad540000, external_data_map=0x0) at xplat/executorch/runtime/executor/method.cpp:761 pytorch#9 0x610db216 in executorch::runtime::Program::load_method (this=0xabd4000c, method_name=<optimized out>, memory_manager=0xabd400f0, event_tracer=0xad540000, named_data_map=<optimized out>) at xplat/executorch/runtime/executor/program.cpp:299 pytorch#10 0x60ff1a80 in MethodContainer::init (this=<optimized out>, modelBuffer=..., weightBuffer=..., methodName=<optimized out>, plannedMemoryBuffers=..., methodAllocator=..., tempAllocator=..., etDumpBuffer=..., debugBufferDataSink=0x0) at arvr/firmware/silicon/ml/executorch/method_container/src/MethodContainer.cpp:104 pytorch#11 0x610cdef9 in InferenceRunnerExecutorch::initializeExecutorchObjects (this=<optimized out>) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunnerExecutorch.cpp:255 pytorch#12 0x610ce06a in InferenceRunnerExecutorch::evaluate (this=0x14013268 <irt_janus_workq_stack+6536>) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunnerExecutorch.cpp:297 pytorch#13 0x610cd186 in execute_model (inferenceRuntimeContext=0x24227680) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunner.cpp:60 pytorch#14 0x610ccf0c in tirt_engine_invoke (inference_request=0x24220000) at arvr/firmware/silicon/turing/tirt/engine/src/Engine.cpp:125 pytorch#15 0x610cce25 in tirt::dispatch::tirt_command_process (request=0x24220000) at arvr/firmware/silicon/turing/tirt/command_dispatch/src/tirt_dispatcher.cpp:71 pytorch#16 0x610ccae7 in irt_janus_msg_handler (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, ctx=0x0, header=0x140137fd <irt_janus_workq_stack+7965>, payload=0x24220000, status=<optimized out>) at arvr/firmware/silicon/turing/tirt/src/IrtIccJanus.cpp:143 --Type <RET> for more, q to quit, c to continue without paging-- pytorch#17 0x610c80ec in _janus_service_handle_message (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, service_info=0x140137f8 <irt_janus_workq_stack+7960>) at arvr/firmware/wearables/libs/janus/session/consumer.c:1099 pytorch#18 janus_service (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, method=JANUS_SERVICE_ONE) at arvr/firmware/wearables/libs/janus/session/consumer.c:2236 pytorch#19 0x610c9d9a in _work_handler (w=0x14009e08 <s_janus_workq_sessions+8>) at arvr/firmware/wearables/libs/janus/modules/janus_workq/src/workq.c:62 pytorch#20 0x61100409 in triggered_work_handler (work=0x14009e08 <s_janus_workq_sessions+8>) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/kernel/poll.c:590 pytorch#21 0x610d139f in work_queue_main (workq_ptr=0x14000f98 <s_janus_workq+24>, p2=<optimized out>, p3=<optimized out>) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/kernel/work.c:688 pytorch#22 0x610c1172 in z_thread_entry (entry=0x610d1344 <work_queue_main>, p1=0x14000f98 <s_janus_workq+24>, p2=0x14001038 <s_janus_workq+184>, p3=0xfffffffd) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/lib/os/thread_entry.c:48 ``` Reviewed By: lucylq, JacobSzwejbka Differential Revision: D79776266

BNNS copy crashes the process when the dtypes differ (pytorch#11714). With the example in this PR (pytorch#11714), we crash the process on main. Here is the stack trace from LLDB: ``` Process 19234 stopped * thread pytorch#1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 libsystem_kernel.dylib`__pthread_kill: -> 0x190ac9388 <+8>: b.lo 0x190ac93a8 ; <+40> 0x190ac938c <+12>: pacibsp 0x190ac9390 <+16>: stp x29, x30, [sp, #-0x10]! 0x190ac9394 <+20>: mov x29, sp (lldb) bt * thread pytorch#1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT * frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 frame pytorch#1: 0x0000000190b0288c libsystem_pthread.dylib`pthread_kill + 296 frame pytorch#2: 0x0000000190a0bc60 libsystem_c.dylib`abort + 124 frame pytorch#3: 0x0000000190910174 libsystem_malloc.dylib`malloc_vreport + 892 frame pytorch#4: 0x0000000190913c90 libsystem_malloc.dylib`malloc_report + 64 frame pytorch#5: 0x000000019091821c libsystem_malloc.dylib`___BUG_IN_CLIENT_OF_LIBMALLOC_POINTER_BEING_FREED_WAS_NOT_ALLOCATED + 32 frame pytorch#6: 0x000000019d2f4084 libBNNS.dylib`___lldb_unnamed_symbol1620 + 564 frame pytorch#7: 0x000000019d2f5bac libBNNS.dylib`___lldb_unnamed_symbol1628 + 680 frame pytorch#8: 0x000000019d69ce48 libBNNS.dylib`BNNSCopy + 616 frame pytorch#9: 0x000000030c74d950 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy_using_bnns(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&) + 188 frame pytorch#10: 0x000000030c74cfdc _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) + 72 frame pytorch#11: 0x000000030c74ceec _portable_lib.cpython-310-darwin.so`executorchcoreml::MultiArray::copy(executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) const + 148 frame pytorch#12: 0x000000030c7488d4 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 376 frame pytorch#13: 0x000000030c748ac8 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 52 frame pytorch#14: 0x000000019ad33f4c CoreML`CoreML::MultiArrayBuffer::getBytesWithHandler(void (void const*, unsigned long) block_pointer) const + 340 frame pytorch#15: 0x000000019ad34138 CoreML`-[MLMultiArray(ScopedBufferAccess) getBytesWithHandler:] + 152 frame pytorch#16: 0x000000030c7485ec _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 296 frame pytorch#17: 0x000000030c744f68 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::set_outputs(std::__1::vector<executorchcoreml::MultiArray, std::__1::allocator<executorchcoreml::MultiArray>>&, NSArray<MLMultiArray*>*) + 180 ``` With this PR, the process succeeds.

* parent 5021c18 author Nikhil Viswanath Sivakumar <68182521+nil-is-all@users.noreply.github.com> 1741841357 -0500 committer Nikhil Viswanath Sivakumar <nikhilviswanath@meta.com> 1745433893 -0500 Migrate iOS Demo App parent 5021c18 author Nikhil Viswanath Sivakumar <68182521+nil-is-all@users.noreply.github.com> 1741841357 -0500 committer Nikhil Viswanath Sivakumar <nikhilviswanath@meta.com> 1745433648 -0500 Migrate iOS Demo App Migrate iOS app demo as README.md Reproduced https://github.com/pytorch/executorch/tree/main/examples/demo-apps/apple_ios/ExecuTorchDemo and added last line in docs to point to this GitHub repo Changed file path to executorch-examples/mv3/apple/MobileNetV3Demo/README.md Changed directory and made changes after local testing Final directory: executorch-examples/mv3/apple/ExecuTorchDemo Changes from [current demo](https://pytorch.org/executorch/main/demo-apps-ios.html#): 1) Check Swift Package Manager version under Prerequisites 2) Export Model - export.py for backends 3) Directory changes in Final Steps Files for iOS MV3 Demo App export script for MV3.pte and XNNPack, CoreML, MPS backends Update README.md Rename mv3/apple/ExecuTorchDemo/export.py to mv3/apple/ExecuTorchDemo/python/export.py Removed export.py code block from README.md Added code formatting for Clone the Demo App subsection added snapshot url Delete mv3/apple/ExecuTorchDemo/ExecuTorchDemo/Resources/Models/MobileNet directory atomically migrated apple/ExecuTorch to mv3/apple/ExecuTorchDemo Updated directory structure to have python in mv3 folder fixed typo in .gitignore Update project.pbxproj to pin to 0.6.0 (#11) MV2 cpp and python example (#13) Update README.md (#12) * Update README.md * Update README.md fix directory and resolve conflicts MV2 cpp and python example (#13) Update .gitignore (#17) * Delete xcuserdata * Delete *.xcworkspace --------- Co-authored-by: Mergen Nachin <mnachin@meta.com>

facebook-github-bot · 2023-07-20T05:03:15Z

The internal and external repositories are out of sync. This attempts to brings them back in sync by patching the GitHub repository. Please carefully review this patch. You must disable ShipIt for your project in order to merge this pull request. DO NOT IMPORT this pull request. Instead, merge it directly on GitHub using the MERGE BUTTON. Re-enable ShipIt after merging.

Summary: python -m executorch.examples.models.llama2.export_llama --disable_dynamic_shape --qnn --pt2e_quantize qnn_16a4w Segfault error stacktrace ``` [INFO] [Qnn ExecuTorch]: Initialize Qnn backend parameters for Qnn executorch backend type 2 [INFO] [Qnn ExecuTorch]: Caching: Caching is in SAVE MODE. [WARNING] [Qnn ExecuTorch]: Qnn API version 2.19.0 is used. The version is tested against 2.18.0. [INFO] [Qnn ExecuTorch]: Running level=3 optimization. AddressSanitizer:DEADLYSIGNAL ================================================================= ==1523599==ERROR: AddressSanitizer: SEGV on unknown address 0x000000000020 (pc 0x7f1585ee38e2 bp 0x7f16d5ab8800 sp 0x7ffed19ab8b0 T0) ==1523599==The signal is caused by a READ memory access. ==1523599==Hint: address points to the zero page. SCARINESS: 10 (null-deref) #0 0x7f1585ee38e2 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2ce38e2) (BuildId: bc3ab8ddc89a0e65) #1 0x7f1585dd8926 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2bd8926) (BuildId: bc3ab8ddc89a0e65) #2 0x7f15844d1161 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12d1161) (BuildId: bc3ab8ddc89a0e65) #3 0x7f15844dcac6 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12dcac6) (BuildId: bc3ab8ddc89a0e65) #4 0x7f15844d245b (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12d245b) (BuildId: bc3ab8ddc89a0e65) #5 0x7f15b9bc7b21 in auto torch::executor::qnn::QnnInterface::qnn_backend_validate_op_config<void*, Qnn_OpConfig_t>(void*, Qnn_OpConfig_t) const fbcode/executorch/backends/qualcomm/runtime/backends/QnnFunctionInterface.h:39 pytorch#6 0x7f15b9bc7682 in torch::executor::qnn::QnnBackend::BackendValidateOpConfig(Qnn_OpConfig_t const&) fbcode/executorch/backends/qualcomm/runtime/backends/QnnBackendCommon.h:41 pytorch#7 0x7f15b9bc7115 in torch::executor::qnn::QnnManager::IsNodeSupportedByBackend(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) fbcode/executorch/backends/qualcomm/runtime/QnnManager.cpp:450 pytorch#8 0x7f15b9dd44ee in torch::executor::qnn::PyQnnManager::IsNodeSupportedByBackend(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) fbcode/executorch/backends/qualcomm/aot/python/PyQnnManagerAdaptor.h:57 pytorch#9 0x7f15b9e5b986 in pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)::operator()(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) const fbsource/pybind11/pybind11.h:84 pytorch#10 0x7f15b9e5b8b5 in bool pybind11::detail::argument_loader<torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&>::call_impl<bool, pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&, 0ul, 1ul, pybind11::detail::void_type>(torch::executor::qnn::PyQnnManager&&, std::integer_sequence<unsigned long, 0ul, 1ul>, pybind11::detail::void_type&&) && fbsource/pybind11/cast.h:2042 pytorch#11 0x7f15b9e53831 in std::enable_if<!std::is_void<bool>::value, bool>::type pybind11::detail::argument_loader<torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&>::call<bool, pybind11::detail::void_type, pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&>(pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&) && fbsource/pybind11/cast.h:2014 pytorch#12 0x7f15b9e53454 in void pybind11::cpp_function::initialize<pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), bool, torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool&&, torch::executor::qnn::PyQnnManager (*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(pybind11::detail::function_call&)::operator()(pybind11::detail::function_call&) const fbsource/pybind11/pybind11.h:193 pytorch#13 0x7f15b9e530d3 in void pybind11::cpp_function::initialize<pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), bool, torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool&&, torch::executor::qnn::PyQnnManager (*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(pybind11::detail::function_call&)::__invoke(pybind11::detail::function_call&) fbsource/pybind11/pybind11.h:170 pytorch#14 0x7f15b9d8f707 in pybind11::cpp_function::dispatcher(_object*, _object*, _object*) fbsource/pybind11/pybind11.h:767 pytorch#15 0x327141 in cfunction_call(_object*, _object*, _object*) (.__uniq.281047882695835599676768160755749362799) (/usr/local/fbcode/platform010/bin/python3.10+0x327141) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#16 0x349630 in _PyObject_MakeTpCall (/usr/local/fbcode/platform010/bin/python3.10+0x349630) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#17 0x5897d4 in method_vectorcall(_object*, _object* const*, unsigned long, _object*) (.__uniq.243338978568352371442406765225626566013.llvm.6236606370933165261) (/usr/local/fbcode/platform010/bin/python3.10+0x5897d4) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#18 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#19 0x331421 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331421) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#20 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#21 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#22 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#23 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#24 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#25 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#26 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#27 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#28 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#29 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#30 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#31 0x331577 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331577) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#32 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#33 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#34 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#35 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#36 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#37 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#38 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#39 0x39ad7d in _PyObject_FastCallDictTstate (/usr/local/fbcode/platform010/bin/python3.10+0x39ad7d) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#40 0x3c8b72 in slot_tp_call(_object*, _object*, _object*) (.__uniq.235726554139783955843240177532338160225) (/usr/local/fbcode/platform010/bin/python3.10+0x3c8b72) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#41 0x392ca8 in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x392ca8) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#42 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#43 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#44 0x331b18 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331b18) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#45 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#46 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#47 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#48 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#49 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#50 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#51 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#52 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#53 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#54 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#55 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#56 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#57 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#58 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#59 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#60 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#61 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#62 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#63 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#64 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#65 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#66 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#67 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#68 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#69 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#70 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#71 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#72 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#73 0x431565 in PyEval_EvalCode (/usr/local/fbcode/platform010/bin/python3.10+0x431565) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#74 0x431447 in run_mod(_mod*, _object*, _object*, _object*, PyCompilerFlags*, _arena*) (.__uniq.251861886623903963524397139660542440724.llvm.17622910512627074885) (/usr/local/fbcode/platform010/bin/python3.10+0x431447) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#75 0x4e3054 in pyrun_file(_IO_FILE*, _object*, int, _object*, _object*, int, PyCompilerFlags*) (.__uniq.251861886623903963524397139660542440724) (/usr/local/fbcode/platform010/bin/python3.10+0x4e3054) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#76 0x4e2b54 in _PyRun_SimpleFileObject (/usr/local/fbcode/platform010/bin/python3.10+0x4e2b54) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#77 0x4e28f1 in _PyRun_AnyFileObject (/usr/local/fbcode/platform010/bin/python3.10+0x4e28f1) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#78 0x4d4a54 in Py_RunMain (/usr/local/fbcode/platform010/bin/python3.10+0x4d4a54) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#79 0x4d286b in pymain_main(_PyArgv*) (.__uniq.297908980262787110426434251325078884054) (/usr/local/fbcode/platform010/bin/python3.10+0x4d286b) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#80 0x4d2759 in Py_BytesMain (/usr/local/fbcode/platform010/bin/python3.10+0x4d2759) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#81 0x7f19e282c656 in __libc_start_call_main (/usr/local/fbcode/platform010/lib/libc.so.6+0x2c656) (BuildId: 93cdceeb8322234c38e1f2c93ad0ff10c7632fa6) pytorch#82 0x7f19e282c717 in __libc_start_main@GLIBC_2.2.5 (/usr/local/fbcode/platform010/lib/libc.so.6+0x2c717) (BuildId: 93cdceeb8322234c38e1f2c93ad0ff10c7632fa6) pytorch#83 0x553d90 in _start (/usr/local/fbcode/platform010/bin/python3.10+0x553d90) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) AddressSanitizer can not provide additional info. AddressSanitizer: SEGV (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2ce38e2) (BuildId: bc3ab8ddc89a0e65) ==1523599==ABORTING ``` Differential Revision: D63736779

cmake updates for openvino

…a Neutron Node inside a TFLite model. Merge in AITEC/executorch from feature/EIEX-52-neutron-backend-extraction-of-neutron-artefacts-from-tflite-flatbuffer to main-nxp * commit '306a3cb3fde378778e82959623fd0c8318dadddc': Add support for extracting the payload from a Neutron Node inside a TFLite model.

Summary: index should always be smaller than weight.size(0). Adding this check in `op_embedding`. This is to avoid wild-addr-read error: ``` AddressSanitizer:DEADLYSIGNAL ================================================================= ==3544359==ERROR: AddressSanitizer: SEGV on unknown address 0x7fce2364bc00 (pc 0x000002d225a0 bp 0x7ffffc792a40 sp 0x7ffffc792990 T0) ==3544359==The signal is caused by a READ memory access. SCARINESS: 20 (wild-addr-read) #0 0x2d225a0 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 #1 0x2d22367 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #2 0x2d2223d in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #3 0x2d21d37 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #4 0x2d21bca in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #5 0x2d20f8f in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #6 0x2d20e13 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #7 0x2d20d06 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #8 0x2d226b7 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::KernelRuntimeContext&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:329 #9 0x2d09bef in torch::executor::function::(anonymous namespace)::$_7::operator()(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) const buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:322 #10 0x2d09a70 in torch::executor::function::(anonymous namespace)::$_7::__invoke(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:297 #11 0x27d769b in executorch::runtime::Method::execute_instruction() xplat/executorch/runtime/executor/method.cpp:1306 #12 0x27d8c55 in executorch::runtime::Method::execute() xplat/executorch/runtime/executor/method.cpp:1550 #13 0x27b1e25 in executorch::extension::Module::execute(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char>> const&, std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.cpp:261 #14 0x27afe43 in executorch::extension::Module::forward(std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.h:340 #15 0x27e0519 in executorch::extension::llm::LlmBackboneRunner::run(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llm_backbone_runner.cpp:58 #16 0x27a35c9 in executorch::extension::llm::Llama4Runner::prefill_tokens(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llama4_runner.cpp:133 #17 0x885774 in main (/data/users/larryliu/fbsource/buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/cria/benchmark/llama4/__generation_main__/generation_main+0x885774) #18 0x7fce2122c656 in __libc_start_call_main /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/nptl/libc_start_call_main.h:58:16 #19 0x7fce2122c717 in __libc_start_main@GLIBC_2.2.5 /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../csu/libc-start.c:409:3 #20 0x884c20 in _start /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/x86_64/start.S:116 AddressSanitizer can not provide additional info. AddressSanitizer: SEGV xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) ==3544359==ABORTING ``` Differential Revision: D75982682

Summary: index should always be smaller than weight.size(0). Adding this check in `op_embedding`. This is to avoid wild-addr-read error: ``` AddressSanitizer:DEADLYSIGNAL ================================================================= ==3544359==ERROR: AddressSanitizer: SEGV on unknown address 0x7fce2364bc00 (pc 0x000002d225a0 bp 0x7ffffc792a40 sp 0x7ffffc792990 T0) ==3544359==The signal is caused by a READ memory access. SCARINESS: 20 (wild-addr-read) #0 0x2d225a0 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 #1 0x2d22367 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #2 0x2d2223d in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #3 0x2d21d37 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #4 0x2d21bca in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #5 0x2d20f8f in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #6 0x2d20e13 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #7 0x2d20d06 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #8 0x2d226b7 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::KernelRuntimeContext&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:329 #9 0x2d09bef in torch::executor::function::(anonymous namespace)::$_7::operator()(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) const buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:322 #10 0x2d09a70 in torch::executor::function::(anonymous namespace)::$_7::__invoke(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:297 #11 0x27d769b in executorch::runtime::Method::execute_instruction() xplat/executorch/runtime/executor/method.cpp:1306 #12 0x27d8c55 in executorch::runtime::Method::execute() xplat/executorch/runtime/executor/method.cpp:1550 #13 0x27b1e25 in executorch::extension::Module::execute(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char>> const&, std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.cpp:261 #14 0x27afe43 in executorch::extension::Module::forward(std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.h:340 #15 0x27e0519 in executorch::extension::llm::LlmBackboneRunner::run(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llm_backbone_runner.cpp:58 #16 0x27a35c9 in executorch::extension::llm::Llama4Runner::prefill_tokens(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llama4_runner.cpp:133 #17 0x885774 in main (/data/users/larryliu/fbsource/buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/cria/benchmark/llama4/__generation_main__/generation_main+0x885774) #18 0x7fce2122c656 in __libc_start_call_main /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/nptl/libc_start_call_main.h:58:16 #19 0x7fce2122c717 in __libc_start_main@GLIBC_2.2.5 /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../csu/libc-start.c:409:3 #20 0x884c20 in _start /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/x86_64/start.S:116 AddressSanitizer can not provide additional info. AddressSanitizer: SEGV xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) ==3544359==ABORTING ``` Test Plan: Imported from GitHub, without a `Test Plan:` line. Rollback Plan: Reviewed By: Gasoonjia Differential Revision: D75982682 Pulled By: larryliu0820

Improve error message

BNNS copy crashes the process when the dtypes differ (#11714). With the example in this PR (#11714), we crash the process on main. Here is the stack trace from LLDB: ``` Process 19234 stopped * thread #1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 libsystem_kernel.dylib`__pthread_kill: -> 0x190ac9388 <+8>: b.lo 0x190ac93a8 ; <+40> 0x190ac938c <+12>: pacibsp 0x190ac9390 <+16>: stp x29, x30, [sp, #-0x10]! 0x190ac9394 <+20>: mov x29, sp (lldb) bt * thread #1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT * frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 frame #1: 0x0000000190b0288c libsystem_pthread.dylib`pthread_kill + 296 frame #2: 0x0000000190a0bc60 libsystem_c.dylib`abort + 124 frame #3: 0x0000000190910174 libsystem_malloc.dylib`malloc_vreport + 892 frame #4: 0x0000000190913c90 libsystem_malloc.dylib`malloc_report + 64 frame #5: 0x000000019091821c libsystem_malloc.dylib`___BUG_IN_CLIENT_OF_LIBMALLOC_POINTER_BEING_FREED_WAS_NOT_ALLOCATED + 32 frame #6: 0x000000019d2f4084 libBNNS.dylib`___lldb_unnamed_symbol1620 + 564 frame #7: 0x000000019d2f5bac libBNNS.dylib`___lldb_unnamed_symbol1628 + 680 frame #8: 0x000000019d69ce48 libBNNS.dylib`BNNSCopy + 616 frame #9: 0x000000030c74d950 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy_using_bnns(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&) + 188 frame #10: 0x000000030c74cfdc _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) + 72 frame #11: 0x000000030c74ceec _portable_lib.cpython-310-darwin.so`executorchcoreml::MultiArray::copy(executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) const + 148 frame #12: 0x000000030c7488d4 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 376 frame #13: 0x000000030c748ac8 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 52 frame #14: 0x000000019ad33f4c CoreML`CoreML::MultiArrayBuffer::getBytesWithHandler(void (void const*, unsigned long) block_pointer) const + 340 frame #15: 0x000000019ad34138 CoreML`-[MLMultiArray(ScopedBufferAccess) getBytesWithHandler:] + 152 frame #16: 0x000000030c7485ec _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 296 frame #17: 0x000000030c744f68 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::set_outputs(std::__1::vector<executorchcoreml::MultiArray, std::__1::allocator<executorchcoreml::MultiArray>>&, NSArray<MLMultiArray*>*) + 180 ``` With this PR, the process succeeds.

Summary: At runtime this format specifier is not correctly handled. The misformatted string get's passed to strlen and eventually causes an assertion. ``` #0 strlen () at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/machine/xtensa/strlen.S:59 pytorch#1 0x610bd83d in _svfprintf_r (data=<optimized out>, fp=<optimized out>, fmt0=<optimized out>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vfprintf.c:1380 pytorch#2 0x610ffcf4 in _vsnprintf_r (ptr=<optimized out>, size=256, fmt=0x20 <error: Cannot access memory at address 0x20>, str=<optimized out>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vsnprintf.c:66 pytorch#3 vsnprintf (str=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", size=256, fmt=0x20 <error: Cannot access memory at address 0x20>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vsnprintf.c:41 pytorch#4 0x610d4ddd in executorch::runtime::internal::vlogf (level=<optimized out>, timestamp=<optimized out>, filename=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", function=0x60fd5fd7 "resolve_operator", line=735, format=0x60fd6023 "Missing operator: [%zd] %s", args=...) at xplat/executorch/runtime/platform/log.cpp:88 pytorch#5 0x610ce2db in executorch::runtime::internal::logf (level=executorch::runtime::LogLevel::Error, timestamp=3330441403, filename=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", function=0x14012d3e <irt_janus_workq_stack+5214> "\026\262\273\200\202", <incomplete sequence \306>, line=735, format=0x60fd6023 "Missing operator: [%zd] %s") at /execution-workspace/buck-out/v2/gen/fbsource/e7835b44f7cec64a/xplat/executorch/runtime/platform/__platform__/buck-headers/executorch/runtime/platform/log.h:140 pytorch#6 0x610d8b60 in executorch::runtime::Method::resolve_operator (this=<optimized out>, op_index=1, kernels=<optimized out>, kernel_index=<optimized out>, args=..., n_args=7) at xplat/executorch/runtime/executor/method.cpp:731 pytorch#7 0x60ff2d70 in executorch::runtime::Method::init (this=0x14012fa0 <irt_janus_workq_stack+5824>, s_plan=<optimized out>, external_data_map=<optimized out>) at xplat/executorch/runtime/executor/method.cpp:926 pytorch#8 0x610d8c33 in executorch::runtime::Method::load (s_plan=0xb21690b4, program=<optimized out>, memory_manager=0xabd400f0, event_tracer=0xad540000, external_data_map=0x0) at xplat/executorch/runtime/executor/method.cpp:761 pytorch#9 0x610db216 in executorch::runtime::Program::load_method (this=0xabd4000c, method_name=<optimized out>, memory_manager=0xabd400f0, event_tracer=0xad540000, named_data_map=<optimized out>) at xplat/executorch/runtime/executor/program.cpp:299 pytorch#10 0x60ff1a80 in MethodContainer::init (this=<optimized out>, modelBuffer=..., weightBuffer=..., methodName=<optimized out>, plannedMemoryBuffers=..., methodAllocator=..., tempAllocator=..., etDumpBuffer=..., debugBufferDataSink=0x0) at arvr/firmware/silicon/ml/executorch/method_container/src/MethodContainer.cpp:104 pytorch#11 0x610cdef9 in InferenceRunnerExecutorch::initializeExecutorchObjects (this=<optimized out>) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunnerExecutorch.cpp:255 pytorch#12 0x610ce06a in InferenceRunnerExecutorch::evaluate (this=0x14013268 <irt_janus_workq_stack+6536>) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunnerExecutorch.cpp:297 pytorch#13 0x610cd186 in execute_model (inferenceRuntimeContext=0x24227680) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunner.cpp:60 pytorch#14 0x610ccf0c in tirt_engine_invoke (inference_request=0x24220000) at arvr/firmware/silicon/turing/tirt/engine/src/Engine.cpp:125 pytorch#15 0x610cce25 in tirt::dispatch::tirt_command_process (request=0x24220000) at arvr/firmware/silicon/turing/tirt/command_dispatch/src/tirt_dispatcher.cpp:71 pytorch#16 0x610ccae7 in irt_janus_msg_handler (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, ctx=0x0, header=0x140137fd <irt_janus_workq_stack+7965>, payload=0x24220000, status=<optimized out>) at arvr/firmware/silicon/turing/tirt/src/IrtIccJanus.cpp:143 --Type <RET> for more, q to quit, c to continue without paging-- pytorch#17 0x610c80ec in _janus_service_handle_message (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, service_info=0x140137f8 <irt_janus_workq_stack+7960>) at arvr/firmware/wearables/libs/janus/session/consumer.c:1099 pytorch#18 janus_service (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, method=JANUS_SERVICE_ONE) at arvr/firmware/wearables/libs/janus/session/consumer.c:2236 pytorch#19 0x610c9d9a in _work_handler (w=0x14009e08 <s_janus_workq_sessions+8>) at arvr/firmware/wearables/libs/janus/modules/janus_workq/src/workq.c:62 pytorch#20 0x61100409 in triggered_work_handler (work=0x14009e08 <s_janus_workq_sessions+8>) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/kernel/poll.c:590 pytorch#21 0x610d139f in work_queue_main (workq_ptr=0x14000f98 <s_janus_workq+24>, p2=<optimized out>, p3=<optimized out>) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/kernel/work.c:688 pytorch#22 0x610c1172 in z_thread_entry (entry=0x610d1344 <work_queue_main>, p1=0x14000f98 <s_janus_workq+24>, p2=0x14001038 <s_janus_workq+184>, p3=0xfffffffd) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/lib/os/thread_entry.c:48 ``` Reviewed By: lucylq, JacobSzwejbka Differential Revision: D79776266

BNNS copy crashes the process when the dtypes differ (pytorch#11714). With the example in this PR (pytorch#11714), we crash the process on main. Here is the stack trace from LLDB: ``` Process 19234 stopped * thread pytorch#1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 libsystem_kernel.dylib`__pthread_kill: -> 0x190ac9388 <+8>: b.lo 0x190ac93a8 ; <+40> 0x190ac938c <+12>: pacibsp 0x190ac9390 <+16>: stp x29, x30, [sp, #-0x10]! 0x190ac9394 <+20>: mov x29, sp (lldb) bt * thread pytorch#1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT * frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 frame pytorch#1: 0x0000000190b0288c libsystem_pthread.dylib`pthread_kill + 296 frame pytorch#2: 0x0000000190a0bc60 libsystem_c.dylib`abort + 124 frame pytorch#3: 0x0000000190910174 libsystem_malloc.dylib`malloc_vreport + 892 frame pytorch#4: 0x0000000190913c90 libsystem_malloc.dylib`malloc_report + 64 frame pytorch#5: 0x000000019091821c libsystem_malloc.dylib`___BUG_IN_CLIENT_OF_LIBMALLOC_POINTER_BEING_FREED_WAS_NOT_ALLOCATED + 32 frame pytorch#6: 0x000000019d2f4084 libBNNS.dylib`___lldb_unnamed_symbol1620 + 564 frame pytorch#7: 0x000000019d2f5bac libBNNS.dylib`___lldb_unnamed_symbol1628 + 680 frame pytorch#8: 0x000000019d69ce48 libBNNS.dylib`BNNSCopy + 616 frame pytorch#9: 0x000000030c74d950 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy_using_bnns(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&) + 188 frame pytorch#10: 0x000000030c74cfdc _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) + 72 frame pytorch#11: 0x000000030c74ceec _portable_lib.cpython-310-darwin.so`executorchcoreml::MultiArray::copy(executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) const + 148 frame pytorch#12: 0x000000030c7488d4 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 376 frame pytorch#13: 0x000000030c748ac8 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 52 frame pytorch#14: 0x000000019ad33f4c CoreML`CoreML::MultiArrayBuffer::getBytesWithHandler(void (void const*, unsigned long) block_pointer) const + 340 frame pytorch#15: 0x000000019ad34138 CoreML`-[MLMultiArray(ScopedBufferAccess) getBytesWithHandler:] + 152 frame pytorch#16: 0x000000030c7485ec _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 296 frame pytorch#17: 0x000000030c744f68 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::set_outputs(std::__1::vector<executorchcoreml::MultiArray, std::__1::allocator<executorchcoreml::MultiArray>>&, NSArray<MLMultiArray*>*) + 180 ``` With this PR, the process succeeds.

* parent 5021c18 author Nikhil Viswanath Sivakumar <68182521+nil-is-all@users.noreply.github.com> 1741841357 -0500 committer Nikhil Viswanath Sivakumar <nikhilviswanath@meta.com> 1745433893 -0500 Migrate iOS Demo App parent 5021c18 author Nikhil Viswanath Sivakumar <68182521+nil-is-all@users.noreply.github.com> 1741841357 -0500 committer Nikhil Viswanath Sivakumar <nikhilviswanath@meta.com> 1745433648 -0500 Migrate iOS Demo App Migrate iOS app demo as README.md Reproduced https://github.com/pytorch/executorch/tree/main/examples/demo-apps/apple_ios/ExecuTorchDemo and added last line in docs to point to this GitHub repo Changed file path to executorch-examples/mv3/apple/MobileNetV3Demo/README.md Changed directory and made changes after local testing Final directory: executorch-examples/mv3/apple/ExecuTorchDemo Changes from [current demo](https://pytorch.org/executorch/main/demo-apps-ios.html#): 1) Check Swift Package Manager version under Prerequisites 2) Export Model - export.py for backends 3) Directory changes in Final Steps Files for iOS MV3 Demo App export script for MV3.pte and XNNPack, CoreML, MPS backends Update README.md Rename mv3/apple/ExecuTorchDemo/export.py to mv3/apple/ExecuTorchDemo/python/export.py Removed export.py code block from README.md Added code formatting for Clone the Demo App subsection added snapshot url Delete mv3/apple/ExecuTorchDemo/ExecuTorchDemo/Resources/Models/MobileNet directory atomically migrated apple/ExecuTorch to mv3/apple/ExecuTorchDemo Updated directory structure to have python in mv3 folder fixed typo in .gitignore Update project.pbxproj to pin to 0.6.0 (#11) MV2 cpp and python example (#13) Update README.md (#12) * Update README.md * Update README.md fix directory and resolve conflicts MV2 cpp and python example (#13) Update .gitignore (#17) * Delete xcuserdata * Delete *.xcworkspace --------- Co-authored-by: Mergen Nachin <mnachin@meta.com>

facebook-github-bot · 2023-07-20T05:03:15Z

The internal and external repositories are out of sync. This attempts to brings them back in sync by patching the GitHub repository. Please carefully review this patch. You must disable ShipIt for your project in order to merge this pull request. DO NOT IMPORT this pull request. Instead, merge it directly on GitHub using the MERGE BUTTON. Re-enable ShipIt after merging.

Summary: python -m executorch.examples.models.llama2.export_llama --disable_dynamic_shape --qnn --pt2e_quantize qnn_16a4w Segfault error stacktrace ``` [INFO] [Qnn ExecuTorch]: Initialize Qnn backend parameters for Qnn executorch backend type 2 [INFO] [Qnn ExecuTorch]: Caching: Caching is in SAVE MODE. [WARNING] [Qnn ExecuTorch]: Qnn API version 2.19.0 is used. The version is tested against 2.18.0. [INFO] [Qnn ExecuTorch]: Running level=3 optimization. AddressSanitizer:DEADLYSIGNAL ================================================================= ==1523599==ERROR: AddressSanitizer: SEGV on unknown address 0x000000000020 (pc 0x7f1585ee38e2 bp 0x7f16d5ab8800 sp 0x7ffed19ab8b0 T0) ==1523599==The signal is caused by a READ memory access. ==1523599==Hint: address points to the zero page. SCARINESS: 10 (null-deref) #0 0x7f1585ee38e2 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2ce38e2) (BuildId: bc3ab8ddc89a0e65) #1 0x7f1585dd8926 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2bd8926) (BuildId: bc3ab8ddc89a0e65) #2 0x7f15844d1161 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12d1161) (BuildId: bc3ab8ddc89a0e65) #3 0x7f15844dcac6 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12dcac6) (BuildId: bc3ab8ddc89a0e65) #4 0x7f15844d245b (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12d245b) (BuildId: bc3ab8ddc89a0e65) #5 0x7f15b9bc7b21 in auto torch::executor::qnn::QnnInterface::qnn_backend_validate_op_config<void*, Qnn_OpConfig_t>(void*, Qnn_OpConfig_t) const fbcode/executorch/backends/qualcomm/runtime/backends/QnnFunctionInterface.h:39 pytorch#6 0x7f15b9bc7682 in torch::executor::qnn::QnnBackend::BackendValidateOpConfig(Qnn_OpConfig_t const&) fbcode/executorch/backends/qualcomm/runtime/backends/QnnBackendCommon.h:41 pytorch#7 0x7f15b9bc7115 in torch::executor::qnn::QnnManager::IsNodeSupportedByBackend(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) fbcode/executorch/backends/qualcomm/runtime/QnnManager.cpp:450 pytorch#8 0x7f15b9dd44ee in torch::executor::qnn::PyQnnManager::IsNodeSupportedByBackend(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) fbcode/executorch/backends/qualcomm/aot/python/PyQnnManagerAdaptor.h:57 pytorch#9 0x7f15b9e5b986 in pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)::operator()(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) const fbsource/pybind11/pybind11.h:84 pytorch#10 0x7f15b9e5b8b5 in bool pybind11::detail::argument_loader<torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&>::call_impl<bool, pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&, 0ul, 1ul, pybind11::detail::void_type>(torch::executor::qnn::PyQnnManager&&, std::integer_sequence<unsigned long, 0ul, 1ul>, pybind11::detail::void_type&&) && fbsource/pybind11/cast.h:2042 pytorch#11 0x7f15b9e53831 in std::enable_if<!std::is_void<bool>::value, bool>::type pybind11::detail::argument_loader<torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&>::call<bool, pybind11::detail::void_type, pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&>(pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&) && fbsource/pybind11/cast.h:2014 pytorch#12 0x7f15b9e53454 in void pybind11::cpp_function::initialize<pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), bool, torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool&&, torch::executor::qnn::PyQnnManager (*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(pybind11::detail::function_call&)::operator()(pybind11::detail::function_call&) const fbsource/pybind11/pybind11.h:193 pytorch#13 0x7f15b9e530d3 in void pybind11::cpp_function::initialize<pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), bool, torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool&&, torch::executor::qnn::PyQnnManager (*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(pybind11::detail::function_call&)::__invoke(pybind11::detail::function_call&) fbsource/pybind11/pybind11.h:170 pytorch#14 0x7f15b9d8f707 in pybind11::cpp_function::dispatcher(_object*, _object*, _object*) fbsource/pybind11/pybind11.h:767 pytorch#15 0x327141 in cfunction_call(_object*, _object*, _object*) (.__uniq.281047882695835599676768160755749362799) (/usr/local/fbcode/platform010/bin/python3.10+0x327141) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#16 0x349630 in _PyObject_MakeTpCall (/usr/local/fbcode/platform010/bin/python3.10+0x349630) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#17 0x5897d4 in method_vectorcall(_object*, _object* const*, unsigned long, _object*) (.__uniq.243338978568352371442406765225626566013.llvm.6236606370933165261) (/usr/local/fbcode/platform010/bin/python3.10+0x5897d4) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#18 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#19 0x331421 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331421) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#20 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#21 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#22 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#23 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#24 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#25 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#26 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#27 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#28 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#29 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#30 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#31 0x331577 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331577) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#32 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#33 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#34 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#35 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#36 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#37 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#38 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#39 0x39ad7d in _PyObject_FastCallDictTstate (/usr/local/fbcode/platform010/bin/python3.10+0x39ad7d) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#40 0x3c8b72 in slot_tp_call(_object*, _object*, _object*) (.__uniq.235726554139783955843240177532338160225) (/usr/local/fbcode/platform010/bin/python3.10+0x3c8b72) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#41 0x392ca8 in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x392ca8) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#42 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#43 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#44 0x331b18 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331b18) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#45 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#46 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#47 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#48 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#49 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#50 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#51 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#52 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#53 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#54 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#55 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#56 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#57 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#58 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#59 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#60 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#61 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#62 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#63 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#64 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#65 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#66 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#67 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#68 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#69 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#70 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#71 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#72 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#73 0x431565 in PyEval_EvalCode (/usr/local/fbcode/platform010/bin/python3.10+0x431565) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#74 0x431447 in run_mod(_mod*, _object*, _object*, _object*, PyCompilerFlags*, _arena*) (.__uniq.251861886623903963524397139660542440724.llvm.17622910512627074885) (/usr/local/fbcode/platform010/bin/python3.10+0x431447) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#75 0x4e3054 in pyrun_file(_IO_FILE*, _object*, int, _object*, _object*, int, PyCompilerFlags*) (.__uniq.251861886623903963524397139660542440724) (/usr/local/fbcode/platform010/bin/python3.10+0x4e3054) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#76 0x4e2b54 in _PyRun_SimpleFileObject (/usr/local/fbcode/platform010/bin/python3.10+0x4e2b54) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#77 0x4e28f1 in _PyRun_AnyFileObject (/usr/local/fbcode/platform010/bin/python3.10+0x4e28f1) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#78 0x4d4a54 in Py_RunMain (/usr/local/fbcode/platform010/bin/python3.10+0x4d4a54) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#79 0x4d286b in pymain_main(_PyArgv*) (.__uniq.297908980262787110426434251325078884054) (/usr/local/fbcode/platform010/bin/python3.10+0x4d286b) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#80 0x4d2759 in Py_BytesMain (/usr/local/fbcode/platform010/bin/python3.10+0x4d2759) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#81 0x7f19e282c656 in __libc_start_call_main (/usr/local/fbcode/platform010/lib/libc.so.6+0x2c656) (BuildId: 93cdceeb8322234c38e1f2c93ad0ff10c7632fa6) pytorch#82 0x7f19e282c717 in __libc_start_main@GLIBC_2.2.5 (/usr/local/fbcode/platform010/lib/libc.so.6+0x2c717) (BuildId: 93cdceeb8322234c38e1f2c93ad0ff10c7632fa6) pytorch#83 0x553d90 in _start (/usr/local/fbcode/platform010/bin/python3.10+0x553d90) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) AddressSanitizer can not provide additional info. AddressSanitizer: SEGV (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2ce38e2) (BuildId: bc3ab8ddc89a0e65) ==1523599==ABORTING ``` Differential Revision: D63736779

cmake updates for openvino

…a Neutron Node inside a TFLite model. Merge in AITEC/executorch from feature/EIEX-52-neutron-backend-extraction-of-neutron-artefacts-from-tflite-flatbuffer to main-nxp * commit '306a3cb3fde378778e82959623fd0c8318dadddc': Add support for extracting the payload from a Neutron Node inside a TFLite model.

Summary: index should always be smaller than weight.size(0). Adding this check in `op_embedding`. This is to avoid wild-addr-read error: ``` AddressSanitizer:DEADLYSIGNAL ================================================================= ==3544359==ERROR: AddressSanitizer: SEGV on unknown address 0x7fce2364bc00 (pc 0x000002d225a0 bp 0x7ffffc792a40 sp 0x7ffffc792990 T0) ==3544359==The signal is caused by a READ memory access. SCARINESS: 20 (wild-addr-read) #0 0x2d225a0 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 #1 0x2d22367 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #2 0x2d2223d in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #3 0x2d21d37 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #4 0x2d21bca in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #5 0x2d20f8f in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #6 0x2d20e13 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #7 0x2d20d06 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #8 0x2d226b7 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::KernelRuntimeContext&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:329 #9 0x2d09bef in torch::executor::function::(anonymous namespace)::$_7::operator()(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) const buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:322 #10 0x2d09a70 in torch::executor::function::(anonymous namespace)::$_7::__invoke(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:297 #11 0x27d769b in executorch::runtime::Method::execute_instruction() xplat/executorch/runtime/executor/method.cpp:1306 #12 0x27d8c55 in executorch::runtime::Method::execute() xplat/executorch/runtime/executor/method.cpp:1550 #13 0x27b1e25 in executorch::extension::Module::execute(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char>> const&, std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.cpp:261 #14 0x27afe43 in executorch::extension::Module::forward(std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.h:340 #15 0x27e0519 in executorch::extension::llm::LlmBackboneRunner::run(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llm_backbone_runner.cpp:58 #16 0x27a35c9 in executorch::extension::llm::Llama4Runner::prefill_tokens(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llama4_runner.cpp:133 #17 0x885774 in main (/data/users/larryliu/fbsource/buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/cria/benchmark/llama4/__generation_main__/generation_main+0x885774) #18 0x7fce2122c656 in __libc_start_call_main /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/nptl/libc_start_call_main.h:58:16 #19 0x7fce2122c717 in __libc_start_main@GLIBC_2.2.5 /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../csu/libc-start.c:409:3 #20 0x884c20 in _start /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/x86_64/start.S:116 AddressSanitizer can not provide additional info. AddressSanitizer: SEGV xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) ==3544359==ABORTING ``` Differential Revision: D75982682

Summary: index should always be smaller than weight.size(0). Adding this check in `op_embedding`. This is to avoid wild-addr-read error: ``` AddressSanitizer:DEADLYSIGNAL ================================================================= ==3544359==ERROR: AddressSanitizer: SEGV on unknown address 0x7fce2364bc00 (pc 0x000002d225a0 bp 0x7ffffc792a40 sp 0x7ffffc792990 T0) ==3544359==The signal is caused by a READ memory access. SCARINESS: 20 (wild-addr-read) #0 0x2d225a0 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 #1 0x2d22367 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #2 0x2d2223d in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #3 0x2d21d37 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #4 0x2d21bca in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #5 0x2d20f8f in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #6 0x2d20e13 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #7 0x2d20d06 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #8 0x2d226b7 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::KernelRuntimeContext&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:329 #9 0x2d09bef in torch::executor::function::(anonymous namespace)::$_7::operator()(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) const buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:322 #10 0x2d09a70 in torch::executor::function::(anonymous namespace)::$_7::__invoke(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:297 #11 0x27d769b in executorch::runtime::Method::execute_instruction() xplat/executorch/runtime/executor/method.cpp:1306 #12 0x27d8c55 in executorch::runtime::Method::execute() xplat/executorch/runtime/executor/method.cpp:1550 #13 0x27b1e25 in executorch::extension::Module::execute(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char>> const&, std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.cpp:261 #14 0x27afe43 in executorch::extension::Module::forward(std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.h:340 #15 0x27e0519 in executorch::extension::llm::LlmBackboneRunner::run(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llm_backbone_runner.cpp:58 #16 0x27a35c9 in executorch::extension::llm::Llama4Runner::prefill_tokens(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llama4_runner.cpp:133 #17 0x885774 in main (/data/users/larryliu/fbsource/buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/cria/benchmark/llama4/__generation_main__/generation_main+0x885774) #18 0x7fce2122c656 in __libc_start_call_main /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/nptl/libc_start_call_main.h:58:16 #19 0x7fce2122c717 in __libc_start_main@GLIBC_2.2.5 /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../csu/libc-start.c:409:3 #20 0x884c20 in _start /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/x86_64/start.S:116 AddressSanitizer can not provide additional info. AddressSanitizer: SEGV xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) ==3544359==ABORTING ``` Test Plan: Imported from GitHub, without a `Test Plan:` line. Rollback Plan: Reviewed By: Gasoonjia Differential Revision: D75982682 Pulled By: larryliu0820

Improve error message

BNNS copy crashes the process when the dtypes differ (#11714). With the example in this PR (#11714), we crash the process on main. Here is the stack trace from LLDB: ``` Process 19234 stopped * thread #1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 libsystem_kernel.dylib`__pthread_kill: -> 0x190ac9388 <+8>: b.lo 0x190ac93a8 ; <+40> 0x190ac938c <+12>: pacibsp 0x190ac9390 <+16>: stp x29, x30, [sp, #-0x10]! 0x190ac9394 <+20>: mov x29, sp (lldb) bt * thread #1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT * frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 frame #1: 0x0000000190b0288c libsystem_pthread.dylib`pthread_kill + 296 frame #2: 0x0000000190a0bc60 libsystem_c.dylib`abort + 124 frame #3: 0x0000000190910174 libsystem_malloc.dylib`malloc_vreport + 892 frame #4: 0x0000000190913c90 libsystem_malloc.dylib`malloc_report + 64 frame #5: 0x000000019091821c libsystem_malloc.dylib`___BUG_IN_CLIENT_OF_LIBMALLOC_POINTER_BEING_FREED_WAS_NOT_ALLOCATED + 32 frame #6: 0x000000019d2f4084 libBNNS.dylib`___lldb_unnamed_symbol1620 + 564 frame #7: 0x000000019d2f5bac libBNNS.dylib`___lldb_unnamed_symbol1628 + 680 frame #8: 0x000000019d69ce48 libBNNS.dylib`BNNSCopy + 616 frame #9: 0x000000030c74d950 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy_using_bnns(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&) + 188 frame #10: 0x000000030c74cfdc _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) + 72 frame #11: 0x000000030c74ceec _portable_lib.cpython-310-darwin.so`executorchcoreml::MultiArray::copy(executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) const + 148 frame #12: 0x000000030c7488d4 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 376 frame #13: 0x000000030c748ac8 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 52 frame #14: 0x000000019ad33f4c CoreML`CoreML::MultiArrayBuffer::getBytesWithHandler(void (void const*, unsigned long) block_pointer) const + 340 frame #15: 0x000000019ad34138 CoreML`-[MLMultiArray(ScopedBufferAccess) getBytesWithHandler:] + 152 frame #16: 0x000000030c7485ec _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 296 frame #17: 0x000000030c744f68 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::set_outputs(std::__1::vector<executorchcoreml::MultiArray, std::__1::allocator<executorchcoreml::MultiArray>>&, NSArray<MLMultiArray*>*) + 180 ``` With this PR, the process succeeds.

Summary: At runtime this format specifier is not correctly handled. The misformatted string get's passed to strlen and eventually causes an assertion. ``` #0 strlen () at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/machine/xtensa/strlen.S:59 pytorch#1 0x610bd83d in _svfprintf_r (data=<optimized out>, fp=<optimized out>, fmt0=<optimized out>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vfprintf.c:1380 pytorch#2 0x610ffcf4 in _vsnprintf_r (ptr=<optimized out>, size=256, fmt=0x20 <error: Cannot access memory at address 0x20>, str=<optimized out>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vsnprintf.c:66 pytorch#3 vsnprintf (str=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", size=256, fmt=0x20 <error: Cannot access memory at address 0x20>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vsnprintf.c:41 pytorch#4 0x610d4ddd in executorch::runtime::internal::vlogf (level=<optimized out>, timestamp=<optimized out>, filename=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", function=0x60fd5fd7 "resolve_operator", line=735, format=0x60fd6023 "Missing operator: [%zd] %s", args=...) at xplat/executorch/runtime/platform/log.cpp:88 pytorch#5 0x610ce2db in executorch::runtime::internal::logf (level=executorch::runtime::LogLevel::Error, timestamp=3330441403, filename=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", function=0x14012d3e <irt_janus_workq_stack+5214> "\026\262\273\200\202", <incomplete sequence \306>, line=735, format=0x60fd6023 "Missing operator: [%zd] %s") at /execution-workspace/buck-out/v2/gen/fbsource/e7835b44f7cec64a/xplat/executorch/runtime/platform/__platform__/buck-headers/executorch/runtime/platform/log.h:140 pytorch#6 0x610d8b60 in executorch::runtime::Method::resolve_operator (this=<optimized out>, op_index=1, kernels=<optimized out>, kernel_index=<optimized out>, args=..., n_args=7) at xplat/executorch/runtime/executor/method.cpp:731 pytorch#7 0x60ff2d70 in executorch::runtime::Method::init (this=0x14012fa0 <irt_janus_workq_stack+5824>, s_plan=<optimized out>, external_data_map=<optimized out>) at xplat/executorch/runtime/executor/method.cpp:926 pytorch#8 0x610d8c33 in executorch::runtime::Method::load (s_plan=0xb21690b4, program=<optimized out>, memory_manager=0xabd400f0, event_tracer=0xad540000, external_data_map=0x0) at xplat/executorch/runtime/executor/method.cpp:761 pytorch#9 0x610db216 in executorch::runtime::Program::load_method (this=0xabd4000c, method_name=<optimized out>, memory_manager=0xabd400f0, event_tracer=0xad540000, named_data_map=<optimized out>) at xplat/executorch/runtime/executor/program.cpp:299 pytorch#10 0x60ff1a80 in MethodContainer::init (this=<optimized out>, modelBuffer=..., weightBuffer=..., methodName=<optimized out>, plannedMemoryBuffers=..., methodAllocator=..., tempAllocator=..., etDumpBuffer=..., debugBufferDataSink=0x0) at arvr/firmware/silicon/ml/executorch/method_container/src/MethodContainer.cpp:104 pytorch#11 0x610cdef9 in InferenceRunnerExecutorch::initializeExecutorchObjects (this=<optimized out>) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunnerExecutorch.cpp:255 pytorch#12 0x610ce06a in InferenceRunnerExecutorch::evaluate (this=0x14013268 <irt_janus_workq_stack+6536>) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunnerExecutorch.cpp:297 pytorch#13 0x610cd186 in execute_model (inferenceRuntimeContext=0x24227680) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunner.cpp:60 pytorch#14 0x610ccf0c in tirt_engine_invoke (inference_request=0x24220000) at arvr/firmware/silicon/turing/tirt/engine/src/Engine.cpp:125 pytorch#15 0x610cce25 in tirt::dispatch::tirt_command_process (request=0x24220000) at arvr/firmware/silicon/turing/tirt/command_dispatch/src/tirt_dispatcher.cpp:71 pytorch#16 0x610ccae7 in irt_janus_msg_handler (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, ctx=0x0, header=0x140137fd <irt_janus_workq_stack+7965>, payload=0x24220000, status=<optimized out>) at arvr/firmware/silicon/turing/tirt/src/IrtIccJanus.cpp:143 --Type <RET> for more, q to quit, c to continue without paging-- pytorch#17 0x610c80ec in _janus_service_handle_message (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, service_info=0x140137f8 <irt_janus_workq_stack+7960>) at arvr/firmware/wearables/libs/janus/session/consumer.c:1099 pytorch#18 janus_service (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, method=JANUS_SERVICE_ONE) at arvr/firmware/wearables/libs/janus/session/consumer.c:2236 pytorch#19 0x610c9d9a in _work_handler (w=0x14009e08 <s_janus_workq_sessions+8>) at arvr/firmware/wearables/libs/janus/modules/janus_workq/src/workq.c:62 pytorch#20 0x61100409 in triggered_work_handler (work=0x14009e08 <s_janus_workq_sessions+8>) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/kernel/poll.c:590 pytorch#21 0x610d139f in work_queue_main (workq_ptr=0x14000f98 <s_janus_workq+24>, p2=<optimized out>, p3=<optimized out>) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/kernel/work.c:688 pytorch#22 0x610c1172 in z_thread_entry (entry=0x610d1344 <work_queue_main>, p1=0x14000f98 <s_janus_workq+24>, p2=0x14001038 <s_janus_workq+184>, p3=0xfffffffd) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/lib/os/thread_entry.c:48 ``` Reviewed By: lucylq, JacobSzwejbka Differential Revision: D79776266

BNNS copy crashes the process when the dtypes differ (pytorch#11714). With the example in this PR (pytorch#11714), we crash the process on main. Here is the stack trace from LLDB: ``` Process 19234 stopped * thread pytorch#1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 libsystem_kernel.dylib`__pthread_kill: -> 0x190ac9388 <+8>: b.lo 0x190ac93a8 ; <+40> 0x190ac938c <+12>: pacibsp 0x190ac9390 <+16>: stp x29, x30, [sp, #-0x10]! 0x190ac9394 <+20>: mov x29, sp (lldb) bt * thread pytorch#1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT * frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 frame pytorch#1: 0x0000000190b0288c libsystem_pthread.dylib`pthread_kill + 296 frame pytorch#2: 0x0000000190a0bc60 libsystem_c.dylib`abort + 124 frame pytorch#3: 0x0000000190910174 libsystem_malloc.dylib`malloc_vreport + 892 frame pytorch#4: 0x0000000190913c90 libsystem_malloc.dylib`malloc_report + 64 frame pytorch#5: 0x000000019091821c libsystem_malloc.dylib`___BUG_IN_CLIENT_OF_LIBMALLOC_POINTER_BEING_FREED_WAS_NOT_ALLOCATED + 32 frame pytorch#6: 0x000000019d2f4084 libBNNS.dylib`___lldb_unnamed_symbol1620 + 564 frame pytorch#7: 0x000000019d2f5bac libBNNS.dylib`___lldb_unnamed_symbol1628 + 680 frame pytorch#8: 0x000000019d69ce48 libBNNS.dylib`BNNSCopy + 616 frame pytorch#9: 0x000000030c74d950 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy_using_bnns(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&) + 188 frame pytorch#10: 0x000000030c74cfdc _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) + 72 frame pytorch#11: 0x000000030c74ceec _portable_lib.cpython-310-darwin.so`executorchcoreml::MultiArray::copy(executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) const + 148 frame pytorch#12: 0x000000030c7488d4 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 376 frame pytorch#13: 0x000000030c748ac8 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 52 frame pytorch#14: 0x000000019ad33f4c CoreML`CoreML::MultiArrayBuffer::getBytesWithHandler(void (void const*, unsigned long) block_pointer) const + 340 frame pytorch#15: 0x000000019ad34138 CoreML`-[MLMultiArray(ScopedBufferAccess) getBytesWithHandler:] + 152 frame pytorch#16: 0x000000030c7485ec _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 296 frame pytorch#17: 0x000000030c744f68 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::set_outputs(std::__1::vector<executorchcoreml::MultiArray, std::__1::allocator<executorchcoreml::MultiArray>>&, NSArray<MLMultiArray*>*) + 180 ``` With this PR, the process succeeds.

* parent 5021c18 author Nikhil Viswanath Sivakumar <68182521+nil-is-all@users.noreply.github.com> 1741841357 -0500 committer Nikhil Viswanath Sivakumar <nikhilviswanath@meta.com> 1745433893 -0500 Migrate iOS Demo App parent 5021c18 author Nikhil Viswanath Sivakumar <68182521+nil-is-all@users.noreply.github.com> 1741841357 -0500 committer Nikhil Viswanath Sivakumar <nikhilviswanath@meta.com> 1745433648 -0500 Migrate iOS Demo App Migrate iOS app demo as README.md Reproduced https://github.com/pytorch/executorch/tree/main/examples/demo-apps/apple_ios/ExecuTorchDemo and added last line in docs to point to this GitHub repo Changed file path to executorch-examples/mv3/apple/MobileNetV3Demo/README.md Changed directory and made changes after local testing Final directory: executorch-examples/mv3/apple/ExecuTorchDemo Changes from [current demo](https://pytorch.org/executorch/main/demo-apps-ios.html#): 1) Check Swift Package Manager version under Prerequisites 2) Export Model - export.py for backends 3) Directory changes in Final Steps Files for iOS MV3 Demo App export script for MV3.pte and XNNPack, CoreML, MPS backends Update README.md Rename mv3/apple/ExecuTorchDemo/export.py to mv3/apple/ExecuTorchDemo/python/export.py Removed export.py code block from README.md Added code formatting for Clone the Demo App subsection added snapshot url Delete mv3/apple/ExecuTorchDemo/ExecuTorchDemo/Resources/Models/MobileNet directory atomically migrated apple/ExecuTorch to mv3/apple/ExecuTorchDemo Updated directory structure to have python in mv3 folder fixed typo in .gitignore Update project.pbxproj to pin to 0.6.0 (#11) MV2 cpp and python example (#13) Update README.md (#12) * Update README.md * Update README.md fix directory and resolve conflicts MV2 cpp and python example (#13) Update .gitignore (#17) * Delete xcuserdata * Delete *.xcworkspace --------- Co-authored-by: Mergen Nachin <mnachin@meta.com>

facebook-github-bot · 2023-07-20T05:03:15Z

The internal and external repositories are out of sync. This attempts to brings them back in sync by patching the GitHub repository. Please carefully review this patch. You must disable ShipIt for your project in order to merge this pull request. DO NOT IMPORT this pull request. Instead, merge it directly on GitHub using the MERGE BUTTON. Re-enable ShipIt after merging.

Summary: python -m executorch.examples.models.llama2.export_llama --disable_dynamic_shape --qnn --pt2e_quantize qnn_16a4w Segfault error stacktrace ``` [INFO] [Qnn ExecuTorch]: Initialize Qnn backend parameters for Qnn executorch backend type 2 [INFO] [Qnn ExecuTorch]: Caching: Caching is in SAVE MODE. [WARNING] [Qnn ExecuTorch]: Qnn API version 2.19.0 is used. The version is tested against 2.18.0. [INFO] [Qnn ExecuTorch]: Running level=3 optimization. AddressSanitizer:DEADLYSIGNAL ================================================================= ==1523599==ERROR: AddressSanitizer: SEGV on unknown address 0x000000000020 (pc 0x7f1585ee38e2 bp 0x7f16d5ab8800 sp 0x7ffed19ab8b0 T0) ==1523599==The signal is caused by a READ memory access. ==1523599==Hint: address points to the zero page. SCARINESS: 10 (null-deref) #0 0x7f1585ee38e2 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2ce38e2) (BuildId: bc3ab8ddc89a0e65) #1 0x7f1585dd8926 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2bd8926) (BuildId: bc3ab8ddc89a0e65) #2 0x7f15844d1161 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12d1161) (BuildId: bc3ab8ddc89a0e65) #3 0x7f15844dcac6 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12dcac6) (BuildId: bc3ab8ddc89a0e65) #4 0x7f15844d245b (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12d245b) (BuildId: bc3ab8ddc89a0e65) #5 0x7f15b9bc7b21 in auto torch::executor::qnn::QnnInterface::qnn_backend_validate_op_config<void*, Qnn_OpConfig_t>(void*, Qnn_OpConfig_t) const fbcode/executorch/backends/qualcomm/runtime/backends/QnnFunctionInterface.h:39 pytorch#6 0x7f15b9bc7682 in torch::executor::qnn::QnnBackend::BackendValidateOpConfig(Qnn_OpConfig_t const&) fbcode/executorch/backends/qualcomm/runtime/backends/QnnBackendCommon.h:41 pytorch#7 0x7f15b9bc7115 in torch::executor::qnn::QnnManager::IsNodeSupportedByBackend(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) fbcode/executorch/backends/qualcomm/runtime/QnnManager.cpp:450 pytorch#8 0x7f15b9dd44ee in torch::executor::qnn::PyQnnManager::IsNodeSupportedByBackend(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) fbcode/executorch/backends/qualcomm/aot/python/PyQnnManagerAdaptor.h:57 pytorch#9 0x7f15b9e5b986 in pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)::operator()(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) const fbsource/pybind11/pybind11.h:84 pytorch#10 0x7f15b9e5b8b5 in bool pybind11::detail::argument_loader<torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&>::call_impl<bool, pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&, 0ul, 1ul, pybind11::detail::void_type>(torch::executor::qnn::PyQnnManager&&, std::integer_sequence<unsigned long, 0ul, 1ul>, pybind11::detail::void_type&&) && fbsource/pybind11/cast.h:2042 pytorch#11 0x7f15b9e53831 in std::enable_if<!std::is_void<bool>::value, bool>::type pybind11::detail::argument_loader<torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&>::call<bool, pybind11::detail::void_type, pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&>(pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&) && fbsource/pybind11/cast.h:2014 pytorch#12 0x7f15b9e53454 in void pybind11::cpp_function::initialize<pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), bool, torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool&&, torch::executor::qnn::PyQnnManager (*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(pybind11::detail::function_call&)::operator()(pybind11::detail::function_call&) const fbsource/pybind11/pybind11.h:193 pytorch#13 0x7f15b9e530d3 in void pybind11::cpp_function::initialize<pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), bool, torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool&&, torch::executor::qnn::PyQnnManager (*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(pybind11::detail::function_call&)::__invoke(pybind11::detail::function_call&) fbsource/pybind11/pybind11.h:170 pytorch#14 0x7f15b9d8f707 in pybind11::cpp_function::dispatcher(_object*, _object*, _object*) fbsource/pybind11/pybind11.h:767 pytorch#15 0x327141 in cfunction_call(_object*, _object*, _object*) (.__uniq.281047882695835599676768160755749362799) (/usr/local/fbcode/platform010/bin/python3.10+0x327141) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#16 0x349630 in _PyObject_MakeTpCall (/usr/local/fbcode/platform010/bin/python3.10+0x349630) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#17 0x5897d4 in method_vectorcall(_object*, _object* const*, unsigned long, _object*) (.__uniq.243338978568352371442406765225626566013.llvm.6236606370933165261) (/usr/local/fbcode/platform010/bin/python3.10+0x5897d4) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#18 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#19 0x331421 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331421) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#20 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#21 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#22 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#23 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#24 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#25 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#26 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#27 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#28 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#29 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#30 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#31 0x331577 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331577) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#32 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#33 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#34 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#35 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#36 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#37 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#38 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#39 0x39ad7d in _PyObject_FastCallDictTstate (/usr/local/fbcode/platform010/bin/python3.10+0x39ad7d) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#40 0x3c8b72 in slot_tp_call(_object*, _object*, _object*) (.__uniq.235726554139783955843240177532338160225) (/usr/local/fbcode/platform010/bin/python3.10+0x3c8b72) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#41 0x392ca8 in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x392ca8) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#42 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#43 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#44 0x331b18 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331b18) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#45 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#46 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#47 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#48 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#49 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#50 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#51 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#52 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#53 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#54 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#55 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#56 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#57 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#58 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#59 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#60 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#61 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#62 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#63 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#64 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#65 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#66 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#67 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#68 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#69 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#70 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#71 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#72 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#73 0x431565 in PyEval_EvalCode (/usr/local/fbcode/platform010/bin/python3.10+0x431565) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#74 0x431447 in run_mod(_mod*, _object*, _object*, _object*, PyCompilerFlags*, _arena*) (.__uniq.251861886623903963524397139660542440724.llvm.17622910512627074885) (/usr/local/fbcode/platform010/bin/python3.10+0x431447) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#75 0x4e3054 in pyrun_file(_IO_FILE*, _object*, int, _object*, _object*, int, PyCompilerFlags*) (.__uniq.251861886623903963524397139660542440724) (/usr/local/fbcode/platform010/bin/python3.10+0x4e3054) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#76 0x4e2b54 in _PyRun_SimpleFileObject (/usr/local/fbcode/platform010/bin/python3.10+0x4e2b54) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#77 0x4e28f1 in _PyRun_AnyFileObject (/usr/local/fbcode/platform010/bin/python3.10+0x4e28f1) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#78 0x4d4a54 in Py_RunMain (/usr/local/fbcode/platform010/bin/python3.10+0x4d4a54) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#79 0x4d286b in pymain_main(_PyArgv*) (.__uniq.297908980262787110426434251325078884054) (/usr/local/fbcode/platform010/bin/python3.10+0x4d286b) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#80 0x4d2759 in Py_BytesMain (/usr/local/fbcode/platform010/bin/python3.10+0x4d2759) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#81 0x7f19e282c656 in __libc_start_call_main (/usr/local/fbcode/platform010/lib/libc.so.6+0x2c656) (BuildId: 93cdceeb8322234c38e1f2c93ad0ff10c7632fa6) pytorch#82 0x7f19e282c717 in __libc_start_main@GLIBC_2.2.5 (/usr/local/fbcode/platform010/lib/libc.so.6+0x2c717) (BuildId: 93cdceeb8322234c38e1f2c93ad0ff10c7632fa6) pytorch#83 0x553d90 in _start (/usr/local/fbcode/platform010/bin/python3.10+0x553d90) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) AddressSanitizer can not provide additional info. AddressSanitizer: SEGV (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2ce38e2) (BuildId: bc3ab8ddc89a0e65) ==1523599==ABORTING ``` Differential Revision: D63736779

cmake updates for openvino

…a Neutron Node inside a TFLite model. Merge in AITEC/executorch from feature/EIEX-52-neutron-backend-extraction-of-neutron-artefacts-from-tflite-flatbuffer to main-nxp * commit '306a3cb3fde378778e82959623fd0c8318dadddc': Add support for extracting the payload from a Neutron Node inside a TFLite model.

Summary: index should always be smaller than weight.size(0). Adding this check in `op_embedding`. This is to avoid wild-addr-read error: ``` AddressSanitizer:DEADLYSIGNAL ================================================================= ==3544359==ERROR: AddressSanitizer: SEGV on unknown address 0x7fce2364bc00 (pc 0x000002d225a0 bp 0x7ffffc792a40 sp 0x7ffffc792990 T0) ==3544359==The signal is caused by a READ memory access. SCARINESS: 20 (wild-addr-read) #0 0x2d225a0 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 #1 0x2d22367 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #2 0x2d2223d in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #3 0x2d21d37 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #4 0x2d21bca in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #5 0x2d20f8f in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #6 0x2d20e13 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #7 0x2d20d06 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #8 0x2d226b7 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::KernelRuntimeContext&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:329 #9 0x2d09bef in torch::executor::function::(anonymous namespace)::$_7::operator()(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) const buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:322 #10 0x2d09a70 in torch::executor::function::(anonymous namespace)::$_7::__invoke(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:297 #11 0x27d769b in executorch::runtime::Method::execute_instruction() xplat/executorch/runtime/executor/method.cpp:1306 #12 0x27d8c55 in executorch::runtime::Method::execute() xplat/executorch/runtime/executor/method.cpp:1550 #13 0x27b1e25 in executorch::extension::Module::execute(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char>> const&, std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.cpp:261 #14 0x27afe43 in executorch::extension::Module::forward(std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.h:340 #15 0x27e0519 in executorch::extension::llm::LlmBackboneRunner::run(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llm_backbone_runner.cpp:58 #16 0x27a35c9 in executorch::extension::llm::Llama4Runner::prefill_tokens(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llama4_runner.cpp:133 #17 0x885774 in main (/data/users/larryliu/fbsource/buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/cria/benchmark/llama4/__generation_main__/generation_main+0x885774) #18 0x7fce2122c656 in __libc_start_call_main /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/nptl/libc_start_call_main.h:58:16 #19 0x7fce2122c717 in __libc_start_main@GLIBC_2.2.5 /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../csu/libc-start.c:409:3 #20 0x884c20 in _start /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/x86_64/start.S:116 AddressSanitizer can not provide additional info. AddressSanitizer: SEGV xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) ==3544359==ABORTING ``` Differential Revision: D75982682

Summary: index should always be smaller than weight.size(0). Adding this check in `op_embedding`. This is to avoid wild-addr-read error: ``` AddressSanitizer:DEADLYSIGNAL ================================================================= ==3544359==ERROR: AddressSanitizer: SEGV on unknown address 0x7fce2364bc00 (pc 0x000002d225a0 bp 0x7ffffc792a40 sp 0x7ffffc792990 T0) ==3544359==The signal is caused by a READ memory access. SCARINESS: 20 (wild-addr-read) #0 0x2d225a0 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 #1 0x2d22367 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #2 0x2d2223d in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #3 0x2d21d37 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #4 0x2d21bca in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #5 0x2d20f8f in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #6 0x2d20e13 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #7 0x2d20d06 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #8 0x2d226b7 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::KernelRuntimeContext&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:329 #9 0x2d09bef in torch::executor::function::(anonymous namespace)::$_7::operator()(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) const buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:322 #10 0x2d09a70 in torch::executor::function::(anonymous namespace)::$_7::__invoke(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:297 #11 0x27d769b in executorch::runtime::Method::execute_instruction() xplat/executorch/runtime/executor/method.cpp:1306 #12 0x27d8c55 in executorch::runtime::Method::execute() xplat/executorch/runtime/executor/method.cpp:1550 #13 0x27b1e25 in executorch::extension::Module::execute(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char>> const&, std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.cpp:261 #14 0x27afe43 in executorch::extension::Module::forward(std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.h:340 #15 0x27e0519 in executorch::extension::llm::LlmBackboneRunner::run(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llm_backbone_runner.cpp:58 #16 0x27a35c9 in executorch::extension::llm::Llama4Runner::prefill_tokens(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llama4_runner.cpp:133 #17 0x885774 in main (/data/users/larryliu/fbsource/buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/cria/benchmark/llama4/__generation_main__/generation_main+0x885774) #18 0x7fce2122c656 in __libc_start_call_main /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/nptl/libc_start_call_main.h:58:16 #19 0x7fce2122c717 in __libc_start_main@GLIBC_2.2.5 /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../csu/libc-start.c:409:3 #20 0x884c20 in _start /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/x86_64/start.S:116 AddressSanitizer can not provide additional info. AddressSanitizer: SEGV xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) ==3544359==ABORTING ``` Test Plan: Imported from GitHub, without a `Test Plan:` line. Rollback Plan: Reviewed By: Gasoonjia Differential Revision: D75982682 Pulled By: larryliu0820

Improve error message

BNNS copy crashes the process when the dtypes differ (#11714). With the example in this PR (#11714), we crash the process on main. Here is the stack trace from LLDB: ``` Process 19234 stopped * thread #1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 libsystem_kernel.dylib`__pthread_kill: -> 0x190ac9388 <+8>: b.lo 0x190ac93a8 ; <+40> 0x190ac938c <+12>: pacibsp 0x190ac9390 <+16>: stp x29, x30, [sp, #-0x10]! 0x190ac9394 <+20>: mov x29, sp (lldb) bt * thread #1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT * frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 frame #1: 0x0000000190b0288c libsystem_pthread.dylib`pthread_kill + 296 frame #2: 0x0000000190a0bc60 libsystem_c.dylib`abort + 124 frame #3: 0x0000000190910174 libsystem_malloc.dylib`malloc_vreport + 892 frame #4: 0x0000000190913c90 libsystem_malloc.dylib`malloc_report + 64 frame #5: 0x000000019091821c libsystem_malloc.dylib`___BUG_IN_CLIENT_OF_LIBMALLOC_POINTER_BEING_FREED_WAS_NOT_ALLOCATED + 32 frame #6: 0x000000019d2f4084 libBNNS.dylib`___lldb_unnamed_symbol1620 + 564 frame #7: 0x000000019d2f5bac libBNNS.dylib`___lldb_unnamed_symbol1628 + 680 frame #8: 0x000000019d69ce48 libBNNS.dylib`BNNSCopy + 616 frame #9: 0x000000030c74d950 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy_using_bnns(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&) + 188 frame #10: 0x000000030c74cfdc _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) + 72 frame #11: 0x000000030c74ceec _portable_lib.cpython-310-darwin.so`executorchcoreml::MultiArray::copy(executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) const + 148 frame #12: 0x000000030c7488d4 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 376 frame #13: 0x000000030c748ac8 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 52 frame #14: 0x000000019ad33f4c CoreML`CoreML::MultiArrayBuffer::getBytesWithHandler(void (void const*, unsigned long) block_pointer) const + 340 frame #15: 0x000000019ad34138 CoreML`-[MLMultiArray(ScopedBufferAccess) getBytesWithHandler:] + 152 frame #16: 0x000000030c7485ec _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 296 frame #17: 0x000000030c744f68 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::set_outputs(std::__1::vector<executorchcoreml::MultiArray, std::__1::allocator<executorchcoreml::MultiArray>>&, NSArray<MLMultiArray*>*) + 180 ``` With this PR, the process succeeds.

Summary: At runtime this format specifier is not correctly handled. The misformatted string get's passed to strlen and eventually causes an assertion. ``` #0 strlen () at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/machine/xtensa/strlen.S:59 pytorch#1 0x610bd83d in _svfprintf_r (data=<optimized out>, fp=<optimized out>, fmt0=<optimized out>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vfprintf.c:1380 pytorch#2 0x610ffcf4 in _vsnprintf_r (ptr=<optimized out>, size=256, fmt=0x20 <error: Cannot access memory at address 0x20>, str=<optimized out>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vsnprintf.c:66 pytorch#3 vsnprintf (str=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", size=256, fmt=0x20 <error: Cannot access memory at address 0x20>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vsnprintf.c:41 pytorch#4 0x610d4ddd in executorch::runtime::internal::vlogf (level=<optimized out>, timestamp=<optimized out>, filename=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", function=0x60fd5fd7 "resolve_operator", line=735, format=0x60fd6023 "Missing operator: [%zd] %s", args=...) at xplat/executorch/runtime/platform/log.cpp:88 pytorch#5 0x610ce2db in executorch::runtime::internal::logf (level=executorch::runtime::LogLevel::Error, timestamp=3330441403, filename=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", function=0x14012d3e <irt_janus_workq_stack+5214> "\026\262\273\200\202", <incomplete sequence \306>, line=735, format=0x60fd6023 "Missing operator: [%zd] %s") at /execution-workspace/buck-out/v2/gen/fbsource/e7835b44f7cec64a/xplat/executorch/runtime/platform/__platform__/buck-headers/executorch/runtime/platform/log.h:140 pytorch#6 0x610d8b60 in executorch::runtime::Method::resolve_operator (this=<optimized out>, op_index=1, kernels=<optimized out>, kernel_index=<optimized out>, args=..., n_args=7) at xplat/executorch/runtime/executor/method.cpp:731 pytorch#7 0x60ff2d70 in executorch::runtime::Method::init (this=0x14012fa0 <irt_janus_workq_stack+5824>, s_plan=<optimized out>, external_data_map=<optimized out>) at xplat/executorch/runtime/executor/method.cpp:926 pytorch#8 0x610d8c33 in executorch::runtime::Method::load (s_plan=0xb21690b4, program=<optimized out>, memory_manager=0xabd400f0, event_tracer=0xad540000, external_data_map=0x0) at xplat/executorch/runtime/executor/method.cpp:761 pytorch#9 0x610db216 in executorch::runtime::Program::load_method (this=0xabd4000c, method_name=<optimized out>, memory_manager=0xabd400f0, event_tracer=0xad540000, named_data_map=<optimized out>) at xplat/executorch/runtime/executor/program.cpp:299 pytorch#10 0x60ff1a80 in MethodContainer::init (this=<optimized out>, modelBuffer=..., weightBuffer=..., methodName=<optimized out>, plannedMemoryBuffers=..., methodAllocator=..., tempAllocator=..., etDumpBuffer=..., debugBufferDataSink=0x0) at arvr/firmware/silicon/ml/executorch/method_container/src/MethodContainer.cpp:104 pytorch#11 0x610cdef9 in InferenceRunnerExecutorch::initializeExecutorchObjects (this=<optimized out>) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunnerExecutorch.cpp:255 pytorch#12 0x610ce06a in InferenceRunnerExecutorch::evaluate (this=0x14013268 <irt_janus_workq_stack+6536>) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunnerExecutorch.cpp:297 pytorch#13 0x610cd186 in execute_model (inferenceRuntimeContext=0x24227680) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunner.cpp:60 pytorch#14 0x610ccf0c in tirt_engine_invoke (inference_request=0x24220000) at arvr/firmware/silicon/turing/tirt/engine/src/Engine.cpp:125 pytorch#15 0x610cce25 in tirt::dispatch::tirt_command_process (request=0x24220000) at arvr/firmware/silicon/turing/tirt/command_dispatch/src/tirt_dispatcher.cpp:71 pytorch#16 0x610ccae7 in irt_janus_msg_handler (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, ctx=0x0, header=0x140137fd <irt_janus_workq_stack+7965>, payload=0x24220000, status=<optimized out>) at arvr/firmware/silicon/turing/tirt/src/IrtIccJanus.cpp:143 --Type <RET> for more, q to quit, c to continue without paging-- pytorch#17 0x610c80ec in _janus_service_handle_message (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, service_info=0x140137f8 <irt_janus_workq_stack+7960>) at arvr/firmware/wearables/libs/janus/session/consumer.c:1099 pytorch#18 janus_service (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, method=JANUS_SERVICE_ONE) at arvr/firmware/wearables/libs/janus/session/consumer.c:2236 pytorch#19 0x610c9d9a in _work_handler (w=0x14009e08 <s_janus_workq_sessions+8>) at arvr/firmware/wearables/libs/janus/modules/janus_workq/src/workq.c:62 pytorch#20 0x61100409 in triggered_work_handler (work=0x14009e08 <s_janus_workq_sessions+8>) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/kernel/poll.c:590 pytorch#21 0x610d139f in work_queue_main (workq_ptr=0x14000f98 <s_janus_workq+24>, p2=<optimized out>, p3=<optimized out>) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/kernel/work.c:688 pytorch#22 0x610c1172 in z_thread_entry (entry=0x610d1344 <work_queue_main>, p1=0x14000f98 <s_janus_workq+24>, p2=0x14001038 <s_janus_workq+184>, p3=0xfffffffd) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/lib/os/thread_entry.c:48 ``` Reviewed By: lucylq, JacobSzwejbka Differential Revision: D79776266

BNNS copy crashes the process when the dtypes differ (pytorch#11714). With the example in this PR (pytorch#11714), we crash the process on main. Here is the stack trace from LLDB: ``` Process 19234 stopped * thread pytorch#1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 libsystem_kernel.dylib`__pthread_kill: -> 0x190ac9388 <+8>: b.lo 0x190ac93a8 ; <+40> 0x190ac938c <+12>: pacibsp 0x190ac9390 <+16>: stp x29, x30, [sp, #-0x10]! 0x190ac9394 <+20>: mov x29, sp (lldb) bt * thread pytorch#1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT * frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 frame pytorch#1: 0x0000000190b0288c libsystem_pthread.dylib`pthread_kill + 296 frame pytorch#2: 0x0000000190a0bc60 libsystem_c.dylib`abort + 124 frame pytorch#3: 0x0000000190910174 libsystem_malloc.dylib`malloc_vreport + 892 frame pytorch#4: 0x0000000190913c90 libsystem_malloc.dylib`malloc_report + 64 frame pytorch#5: 0x000000019091821c libsystem_malloc.dylib`___BUG_IN_CLIENT_OF_LIBMALLOC_POINTER_BEING_FREED_WAS_NOT_ALLOCATED + 32 frame pytorch#6: 0x000000019d2f4084 libBNNS.dylib`___lldb_unnamed_symbol1620 + 564 frame pytorch#7: 0x000000019d2f5bac libBNNS.dylib`___lldb_unnamed_symbol1628 + 680 frame pytorch#8: 0x000000019d69ce48 libBNNS.dylib`BNNSCopy + 616 frame pytorch#9: 0x000000030c74d950 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy_using_bnns(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&) + 188 frame pytorch#10: 0x000000030c74cfdc _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) + 72 frame pytorch#11: 0x000000030c74ceec _portable_lib.cpython-310-darwin.so`executorchcoreml::MultiArray::copy(executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) const + 148 frame pytorch#12: 0x000000030c7488d4 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 376 frame pytorch#13: 0x000000030c748ac8 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 52 frame pytorch#14: 0x000000019ad33f4c CoreML`CoreML::MultiArrayBuffer::getBytesWithHandler(void (void const*, unsigned long) block_pointer) const + 340 frame pytorch#15: 0x000000019ad34138 CoreML`-[MLMultiArray(ScopedBufferAccess) getBytesWithHandler:] + 152 frame pytorch#16: 0x000000030c7485ec _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 296 frame pytorch#17: 0x000000030c744f68 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::set_outputs(std::__1::vector<executorchcoreml::MultiArray, std::__1::allocator<executorchcoreml::MultiArray>>&, NSArray<MLMultiArray*>*) + 180 ``` With this PR, the process succeeds.

* parent 5021c18 author Nikhil Viswanath Sivakumar <68182521+nil-is-all@users.noreply.github.com> 1741841357 -0500 committer Nikhil Viswanath Sivakumar <nikhilviswanath@meta.com> 1745433893 -0500 Migrate iOS Demo App parent 5021c18 author Nikhil Viswanath Sivakumar <68182521+nil-is-all@users.noreply.github.com> 1741841357 -0500 committer Nikhil Viswanath Sivakumar <nikhilviswanath@meta.com> 1745433648 -0500 Migrate iOS Demo App Migrate iOS app demo as README.md Reproduced https://github.com/pytorch/executorch/tree/main/examples/demo-apps/apple_ios/ExecuTorchDemo and added last line in docs to point to this GitHub repo Changed file path to executorch-examples/mv3/apple/MobileNetV3Demo/README.md Changed directory and made changes after local testing Final directory: executorch-examples/mv3/apple/ExecuTorchDemo Changes from [current demo](https://pytorch.org/executorch/main/demo-apps-ios.html#): 1) Check Swift Package Manager version under Prerequisites 2) Export Model - export.py for backends 3) Directory changes in Final Steps Files for iOS MV3 Demo App export script for MV3.pte and XNNPack, CoreML, MPS backends Update README.md Rename mv3/apple/ExecuTorchDemo/export.py to mv3/apple/ExecuTorchDemo/python/export.py Removed export.py code block from README.md Added code formatting for Clone the Demo App subsection added snapshot url Delete mv3/apple/ExecuTorchDemo/ExecuTorchDemo/Resources/Models/MobileNet directory atomically migrated apple/ExecuTorch to mv3/apple/ExecuTorchDemo Updated directory structure to have python in mv3 folder fixed typo in .gitignore Update project.pbxproj to pin to 0.6.0 (#11) MV2 cpp and python example (#13) Update README.md (#12) * Update README.md * Update README.md fix directory and resolve conflicts MV2 cpp and python example (#13) Update .gitignore (#17) * Delete xcuserdata * Delete *.xcworkspace --------- Co-authored-by: Mergen Nachin <mnachin@meta.com>

facebook-github-bot · 2023-07-20T05:03:15Z

The internal and external repositories are out of sync. This attempts to brings them back in sync by patching the GitHub repository. Please carefully review this patch. You must disable ShipIt for your project in order to merge this pull request. DO NOT IMPORT this pull request. Instead, merge it directly on GitHub using the MERGE BUTTON. Re-enable ShipIt after merging.

Summary: python -m executorch.examples.models.llama2.export_llama --disable_dynamic_shape --qnn --pt2e_quantize qnn_16a4w Segfault error stacktrace ``` [INFO] [Qnn ExecuTorch]: Initialize Qnn backend parameters for Qnn executorch backend type 2 [INFO] [Qnn ExecuTorch]: Caching: Caching is in SAVE MODE. [WARNING] [Qnn ExecuTorch]: Qnn API version 2.19.0 is used. The version is tested against 2.18.0. [INFO] [Qnn ExecuTorch]: Running level=3 optimization. AddressSanitizer:DEADLYSIGNAL ================================================================= ==1523599==ERROR: AddressSanitizer: SEGV on unknown address 0x000000000020 (pc 0x7f1585ee38e2 bp 0x7f16d5ab8800 sp 0x7ffed19ab8b0 T0) ==1523599==The signal is caused by a READ memory access. ==1523599==Hint: address points to the zero page. SCARINESS: 10 (null-deref) #0 0x7f1585ee38e2 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2ce38e2) (BuildId: bc3ab8ddc89a0e65) #1 0x7f1585dd8926 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2bd8926) (BuildId: bc3ab8ddc89a0e65) #2 0x7f15844d1161 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12d1161) (BuildId: bc3ab8ddc89a0e65) #3 0x7f15844dcac6 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12dcac6) (BuildId: bc3ab8ddc89a0e65) #4 0x7f15844d245b (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12d245b) (BuildId: bc3ab8ddc89a0e65) #5 0x7f15b9bc7b21 in auto torch::executor::qnn::QnnInterface::qnn_backend_validate_op_config<void*, Qnn_OpConfig_t>(void*, Qnn_OpConfig_t) const fbcode/executorch/backends/qualcomm/runtime/backends/QnnFunctionInterface.h:39 pytorch#6 0x7f15b9bc7682 in torch::executor::qnn::QnnBackend::BackendValidateOpConfig(Qnn_OpConfig_t const&) fbcode/executorch/backends/qualcomm/runtime/backends/QnnBackendCommon.h:41 pytorch#7 0x7f15b9bc7115 in torch::executor::qnn::QnnManager::IsNodeSupportedByBackend(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) fbcode/executorch/backends/qualcomm/runtime/QnnManager.cpp:450 pytorch#8 0x7f15b9dd44ee in torch::executor::qnn::PyQnnManager::IsNodeSupportedByBackend(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) fbcode/executorch/backends/qualcomm/aot/python/PyQnnManagerAdaptor.h:57 pytorch#9 0x7f15b9e5b986 in pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)::operator()(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) const fbsource/pybind11/pybind11.h:84 pytorch#10 0x7f15b9e5b8b5 in bool pybind11::detail::argument_loader<torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&>::call_impl<bool, pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&, 0ul, 1ul, pybind11::detail::void_type>(torch::executor::qnn::PyQnnManager&&, std::integer_sequence<unsigned long, 0ul, 1ul>, pybind11::detail::void_type&&) && fbsource/pybind11/cast.h:2042 pytorch#11 0x7f15b9e53831 in std::enable_if<!std::is_void<bool>::value, bool>::type pybind11::detail::argument_loader<torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&>::call<bool, pybind11::detail::void_type, pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&>(pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&) && fbsource/pybind11/cast.h:2014 pytorch#12 0x7f15b9e53454 in void pybind11::cpp_function::initialize<pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), bool, torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool&&, torch::executor::qnn::PyQnnManager (*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(pybind11::detail::function_call&)::operator()(pybind11::detail::function_call&) const fbsource/pybind11/pybind11.h:193 pytorch#13 0x7f15b9e530d3 in void pybind11::cpp_function::initialize<pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), bool, torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool&&, torch::executor::qnn::PyQnnManager (*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(pybind11::detail::function_call&)::__invoke(pybind11::detail::function_call&) fbsource/pybind11/pybind11.h:170 pytorch#14 0x7f15b9d8f707 in pybind11::cpp_function::dispatcher(_object*, _object*, _object*) fbsource/pybind11/pybind11.h:767 pytorch#15 0x327141 in cfunction_call(_object*, _object*, _object*) (.__uniq.281047882695835599676768160755749362799) (/usr/local/fbcode/platform010/bin/python3.10+0x327141) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#16 0x349630 in _PyObject_MakeTpCall (/usr/local/fbcode/platform010/bin/python3.10+0x349630) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#17 0x5897d4 in method_vectorcall(_object*, _object* const*, unsigned long, _object*) (.__uniq.243338978568352371442406765225626566013.llvm.6236606370933165261) (/usr/local/fbcode/platform010/bin/python3.10+0x5897d4) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#18 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#19 0x331421 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331421) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#20 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#21 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#22 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#23 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#24 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#25 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#26 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#27 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#28 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#29 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#30 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#31 0x331577 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331577) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#32 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#33 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#34 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#35 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#36 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#37 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#38 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#39 0x39ad7d in _PyObject_FastCallDictTstate (/usr/local/fbcode/platform010/bin/python3.10+0x39ad7d) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#40 0x3c8b72 in slot_tp_call(_object*, _object*, _object*) (.__uniq.235726554139783955843240177532338160225) (/usr/local/fbcode/platform010/bin/python3.10+0x3c8b72) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#41 0x392ca8 in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x392ca8) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#42 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#43 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#44 0x331b18 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331b18) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#45 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#46 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#47 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#48 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#49 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#50 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#51 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#52 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#53 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#54 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#55 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#56 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#57 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#58 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#59 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#60 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#61 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#62 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#63 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#64 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#65 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#66 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#67 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#68 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#69 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#70 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#71 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#72 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#73 0x431565 in PyEval_EvalCode (/usr/local/fbcode/platform010/bin/python3.10+0x431565) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#74 0x431447 in run_mod(_mod*, _object*, _object*, _object*, PyCompilerFlags*, _arena*) (.__uniq.251861886623903963524397139660542440724.llvm.17622910512627074885) (/usr/local/fbcode/platform010/bin/python3.10+0x431447) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#75 0x4e3054 in pyrun_file(_IO_FILE*, _object*, int, _object*, _object*, int, PyCompilerFlags*) (.__uniq.251861886623903963524397139660542440724) (/usr/local/fbcode/platform010/bin/python3.10+0x4e3054) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#76 0x4e2b54 in _PyRun_SimpleFileObject (/usr/local/fbcode/platform010/bin/python3.10+0x4e2b54) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#77 0x4e28f1 in _PyRun_AnyFileObject (/usr/local/fbcode/platform010/bin/python3.10+0x4e28f1) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#78 0x4d4a54 in Py_RunMain (/usr/local/fbcode/platform010/bin/python3.10+0x4d4a54) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#79 0x4d286b in pymain_main(_PyArgv*) (.__uniq.297908980262787110426434251325078884054) (/usr/local/fbcode/platform010/bin/python3.10+0x4d286b) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#80 0x4d2759 in Py_BytesMain (/usr/local/fbcode/platform010/bin/python3.10+0x4d2759) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#81 0x7f19e282c656 in __libc_start_call_main (/usr/local/fbcode/platform010/lib/libc.so.6+0x2c656) (BuildId: 93cdceeb8322234c38e1f2c93ad0ff10c7632fa6) pytorch#82 0x7f19e282c717 in __libc_start_main@GLIBC_2.2.5 (/usr/local/fbcode/platform010/lib/libc.so.6+0x2c717) (BuildId: 93cdceeb8322234c38e1f2c93ad0ff10c7632fa6) pytorch#83 0x553d90 in _start (/usr/local/fbcode/platform010/bin/python3.10+0x553d90) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) AddressSanitizer can not provide additional info. AddressSanitizer: SEGV (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2ce38e2) (BuildId: bc3ab8ddc89a0e65) ==1523599==ABORTING ``` Differential Revision: D63736779

cmake updates for openvino

…a Neutron Node inside a TFLite model. Merge in AITEC/executorch from feature/EIEX-52-neutron-backend-extraction-of-neutron-artefacts-from-tflite-flatbuffer to main-nxp * commit '306a3cb3fde378778e82959623fd0c8318dadddc': Add support for extracting the payload from a Neutron Node inside a TFLite model.

Summary: index should always be smaller than weight.size(0). Adding this check in `op_embedding`. This is to avoid wild-addr-read error: ``` AddressSanitizer:DEADLYSIGNAL ================================================================= ==3544359==ERROR: AddressSanitizer: SEGV on unknown address 0x7fce2364bc00 (pc 0x000002d225a0 bp 0x7ffffc792a40 sp 0x7ffffc792990 T0) ==3544359==The signal is caused by a READ memory access. SCARINESS: 20 (wild-addr-read) #0 0x2d225a0 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 #1 0x2d22367 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #2 0x2d2223d in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #3 0x2d21d37 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #4 0x2d21bca in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #5 0x2d20f8f in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #6 0x2d20e13 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #7 0x2d20d06 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #8 0x2d226b7 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::KernelRuntimeContext&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:329 #9 0x2d09bef in torch::executor::function::(anonymous namespace)::$_7::operator()(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) const buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:322 #10 0x2d09a70 in torch::executor::function::(anonymous namespace)::$_7::__invoke(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:297 #11 0x27d769b in executorch::runtime::Method::execute_instruction() xplat/executorch/runtime/executor/method.cpp:1306 #12 0x27d8c55 in executorch::runtime::Method::execute() xplat/executorch/runtime/executor/method.cpp:1550 #13 0x27b1e25 in executorch::extension::Module::execute(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char>> const&, std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.cpp:261 #14 0x27afe43 in executorch::extension::Module::forward(std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.h:340 #15 0x27e0519 in executorch::extension::llm::LlmBackboneRunner::run(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llm_backbone_runner.cpp:58 #16 0x27a35c9 in executorch::extension::llm::Llama4Runner::prefill_tokens(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llama4_runner.cpp:133 #17 0x885774 in main (/data/users/larryliu/fbsource/buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/cria/benchmark/llama4/__generation_main__/generation_main+0x885774) #18 0x7fce2122c656 in __libc_start_call_main /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/nptl/libc_start_call_main.h:58:16 #19 0x7fce2122c717 in __libc_start_main@GLIBC_2.2.5 /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../csu/libc-start.c:409:3 #20 0x884c20 in _start /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/x86_64/start.S:116 AddressSanitizer can not provide additional info. AddressSanitizer: SEGV xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) ==3544359==ABORTING ``` Differential Revision: D75982682

Summary: index should always be smaller than weight.size(0). Adding this check in `op_embedding`. This is to avoid wild-addr-read error: ``` AddressSanitizer:DEADLYSIGNAL ================================================================= ==3544359==ERROR: AddressSanitizer: SEGV on unknown address 0x7fce2364bc00 (pc 0x000002d225a0 bp 0x7ffffc792a40 sp 0x7ffffc792990 T0) ==3544359==The signal is caused by a READ memory access. SCARINESS: 20 (wild-addr-read) #0 0x2d225a0 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 #1 0x2d22367 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #2 0x2d2223d in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #3 0x2d21d37 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #4 0x2d21bca in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #5 0x2d20f8f in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #6 0x2d20e13 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #7 0x2d20d06 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #8 0x2d226b7 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::KernelRuntimeContext&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:329 #9 0x2d09bef in torch::executor::function::(anonymous namespace)::$_7::operator()(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) const buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:322 #10 0x2d09a70 in torch::executor::function::(anonymous namespace)::$_7::__invoke(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:297 #11 0x27d769b in executorch::runtime::Method::execute_instruction() xplat/executorch/runtime/executor/method.cpp:1306 #12 0x27d8c55 in executorch::runtime::Method::execute() xplat/executorch/runtime/executor/method.cpp:1550 #13 0x27b1e25 in executorch::extension::Module::execute(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char>> const&, std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.cpp:261 #14 0x27afe43 in executorch::extension::Module::forward(std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.h:340 #15 0x27e0519 in executorch::extension::llm::LlmBackboneRunner::run(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llm_backbone_runner.cpp:58 #16 0x27a35c9 in executorch::extension::llm::Llama4Runner::prefill_tokens(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llama4_runner.cpp:133 #17 0x885774 in main (/data/users/larryliu/fbsource/buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/cria/benchmark/llama4/__generation_main__/generation_main+0x885774) #18 0x7fce2122c656 in __libc_start_call_main /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/nptl/libc_start_call_main.h:58:16 #19 0x7fce2122c717 in __libc_start_main@GLIBC_2.2.5 /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../csu/libc-start.c:409:3 #20 0x884c20 in _start /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/x86_64/start.S:116 AddressSanitizer can not provide additional info. AddressSanitizer: SEGV xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) ==3544359==ABORTING ``` Test Plan: Imported from GitHub, without a `Test Plan:` line. Rollback Plan: Reviewed By: Gasoonjia Differential Revision: D75982682 Pulled By: larryliu0820

Improve error message

BNNS copy crashes the process when the dtypes differ (#11714). With the example in this PR (#11714), we crash the process on main. Here is the stack trace from LLDB: ``` Process 19234 stopped * thread #1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 libsystem_kernel.dylib`__pthread_kill: -> 0x190ac9388 <+8>: b.lo 0x190ac93a8 ; <+40> 0x190ac938c <+12>: pacibsp 0x190ac9390 <+16>: stp x29, x30, [sp, #-0x10]! 0x190ac9394 <+20>: mov x29, sp (lldb) bt * thread #1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT * frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 frame #1: 0x0000000190b0288c libsystem_pthread.dylib`pthread_kill + 296 frame #2: 0x0000000190a0bc60 libsystem_c.dylib`abort + 124 frame #3: 0x0000000190910174 libsystem_malloc.dylib`malloc_vreport + 892 frame #4: 0x0000000190913c90 libsystem_malloc.dylib`malloc_report + 64 frame #5: 0x000000019091821c libsystem_malloc.dylib`___BUG_IN_CLIENT_OF_LIBMALLOC_POINTER_BEING_FREED_WAS_NOT_ALLOCATED + 32 frame #6: 0x000000019d2f4084 libBNNS.dylib`___lldb_unnamed_symbol1620 + 564 frame #7: 0x000000019d2f5bac libBNNS.dylib`___lldb_unnamed_symbol1628 + 680 frame #8: 0x000000019d69ce48 libBNNS.dylib`BNNSCopy + 616 frame #9: 0x000000030c74d950 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy_using_bnns(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&) + 188 frame #10: 0x000000030c74cfdc _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) + 72 frame #11: 0x000000030c74ceec _portable_lib.cpython-310-darwin.so`executorchcoreml::MultiArray::copy(executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) const + 148 frame #12: 0x000000030c7488d4 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 376 frame #13: 0x000000030c748ac8 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 52 frame #14: 0x000000019ad33f4c CoreML`CoreML::MultiArrayBuffer::getBytesWithHandler(void (void const*, unsigned long) block_pointer) const + 340 frame #15: 0x000000019ad34138 CoreML`-[MLMultiArray(ScopedBufferAccess) getBytesWithHandler:] + 152 frame #16: 0x000000030c7485ec _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 296 frame #17: 0x000000030c744f68 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::set_outputs(std::__1::vector<executorchcoreml::MultiArray, std::__1::allocator<executorchcoreml::MultiArray>>&, NSArray<MLMultiArray*>*) + 180 ``` With this PR, the process succeeds.

Summary: At runtime this format specifier is not correctly handled. The misformatted string get's passed to strlen and eventually causes an assertion. ``` #0 strlen () at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/machine/xtensa/strlen.S:59 pytorch#1 0x610bd83d in _svfprintf_r (data=<optimized out>, fp=<optimized out>, fmt0=<optimized out>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vfprintf.c:1380 pytorch#2 0x610ffcf4 in _vsnprintf_r (ptr=<optimized out>, size=256, fmt=0x20 <error: Cannot access memory at address 0x20>, str=<optimized out>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vsnprintf.c:66 pytorch#3 vsnprintf (str=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", size=256, fmt=0x20 <error: Cannot access memory at address 0x20>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vsnprintf.c:41 pytorch#4 0x610d4ddd in executorch::runtime::internal::vlogf (level=<optimized out>, timestamp=<optimized out>, filename=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", function=0x60fd5fd7 "resolve_operator", line=735, format=0x60fd6023 "Missing operator: [%zd] %s", args=...) at xplat/executorch/runtime/platform/log.cpp:88 pytorch#5 0x610ce2db in executorch::runtime::internal::logf (level=executorch::runtime::LogLevel::Error, timestamp=3330441403, filename=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", function=0x14012d3e <irt_janus_workq_stack+5214> "\026\262\273\200\202", <incomplete sequence \306>, line=735, format=0x60fd6023 "Missing operator: [%zd] %s") at /execution-workspace/buck-out/v2/gen/fbsource/e7835b44f7cec64a/xplat/executorch/runtime/platform/__platform__/buck-headers/executorch/runtime/platform/log.h:140 pytorch#6 0x610d8b60 in executorch::runtime::Method::resolve_operator (this=<optimized out>, op_index=1, kernels=<optimized out>, kernel_index=<optimized out>, args=..., n_args=7) at xplat/executorch/runtime/executor/method.cpp:731 pytorch#7 0x60ff2d70 in executorch::runtime::Method::init (this=0x14012fa0 <irt_janus_workq_stack+5824>, s_plan=<optimized out>, external_data_map=<optimized out>) at xplat/executorch/runtime/executor/method.cpp:926 pytorch#8 0x610d8c33 in executorch::runtime::Method::load (s_plan=0xb21690b4, program=<optimized out>, memory_manager=0xabd400f0, event_tracer=0xad540000, external_data_map=0x0) at xplat/executorch/runtime/executor/method.cpp:761 pytorch#9 0x610db216 in executorch::runtime::Program::load_method (this=0xabd4000c, method_name=<optimized out>, memory_manager=0xabd400f0, event_tracer=0xad540000, named_data_map=<optimized out>) at xplat/executorch/runtime/executor/program.cpp:299 pytorch#10 0x60ff1a80 in MethodContainer::init (this=<optimized out>, modelBuffer=..., weightBuffer=..., methodName=<optimized out>, plannedMemoryBuffers=..., methodAllocator=..., tempAllocator=..., etDumpBuffer=..., debugBufferDataSink=0x0) at arvr/firmware/silicon/ml/executorch/method_container/src/MethodContainer.cpp:104 pytorch#11 0x610cdef9 in InferenceRunnerExecutorch::initializeExecutorchObjects (this=<optimized out>) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunnerExecutorch.cpp:255 pytorch#12 0x610ce06a in InferenceRunnerExecutorch::evaluate (this=0x14013268 <irt_janus_workq_stack+6536>) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunnerExecutorch.cpp:297 pytorch#13 0x610cd186 in execute_model (inferenceRuntimeContext=0x24227680) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunner.cpp:60 pytorch#14 0x610ccf0c in tirt_engine_invoke (inference_request=0x24220000) at arvr/firmware/silicon/turing/tirt/engine/src/Engine.cpp:125 pytorch#15 0x610cce25 in tirt::dispatch::tirt_command_process (request=0x24220000) at arvr/firmware/silicon/turing/tirt/command_dispatch/src/tirt_dispatcher.cpp:71 pytorch#16 0x610ccae7 in irt_janus_msg_handler (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, ctx=0x0, header=0x140137fd <irt_janus_workq_stack+7965>, payload=0x24220000, status=<optimized out>) at arvr/firmware/silicon/turing/tirt/src/IrtIccJanus.cpp:143 --Type <RET> for more, q to quit, c to continue without paging-- pytorch#17 0x610c80ec in _janus_service_handle_message (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, service_info=0x140137f8 <irt_janus_workq_stack+7960>) at arvr/firmware/wearables/libs/janus/session/consumer.c:1099 pytorch#18 janus_service (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, method=JANUS_SERVICE_ONE) at arvr/firmware/wearables/libs/janus/session/consumer.c:2236 pytorch#19 0x610c9d9a in _work_handler (w=0x14009e08 <s_janus_workq_sessions+8>) at arvr/firmware/wearables/libs/janus/modules/janus_workq/src/workq.c:62 pytorch#20 0x61100409 in triggered_work_handler (work=0x14009e08 <s_janus_workq_sessions+8>) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/kernel/poll.c:590 pytorch#21 0x610d139f in work_queue_main (workq_ptr=0x14000f98 <s_janus_workq+24>, p2=<optimized out>, p3=<optimized out>) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/kernel/work.c:688 pytorch#22 0x610c1172 in z_thread_entry (entry=0x610d1344 <work_queue_main>, p1=0x14000f98 <s_janus_workq+24>, p2=0x14001038 <s_janus_workq+184>, p3=0xfffffffd) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/lib/os/thread_entry.c:48 ``` Reviewed By: lucylq, JacobSzwejbka Differential Revision: D79776266

BNNS copy crashes the process when the dtypes differ (pytorch#11714). With the example in this PR (pytorch#11714), we crash the process on main. Here is the stack trace from LLDB: ``` Process 19234 stopped * thread pytorch#1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 libsystem_kernel.dylib`__pthread_kill: -> 0x190ac9388 <+8>: b.lo 0x190ac93a8 ; <+40> 0x190ac938c <+12>: pacibsp 0x190ac9390 <+16>: stp x29, x30, [sp, #-0x10]! 0x190ac9394 <+20>: mov x29, sp (lldb) bt * thread pytorch#1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT * frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 frame pytorch#1: 0x0000000190b0288c libsystem_pthread.dylib`pthread_kill + 296 frame pytorch#2: 0x0000000190a0bc60 libsystem_c.dylib`abort + 124 frame pytorch#3: 0x0000000190910174 libsystem_malloc.dylib`malloc_vreport + 892 frame pytorch#4: 0x0000000190913c90 libsystem_malloc.dylib`malloc_report + 64 frame pytorch#5: 0x000000019091821c libsystem_malloc.dylib`___BUG_IN_CLIENT_OF_LIBMALLOC_POINTER_BEING_FREED_WAS_NOT_ALLOCATED + 32 frame pytorch#6: 0x000000019d2f4084 libBNNS.dylib`___lldb_unnamed_symbol1620 + 564 frame pytorch#7: 0x000000019d2f5bac libBNNS.dylib`___lldb_unnamed_symbol1628 + 680 frame pytorch#8: 0x000000019d69ce48 libBNNS.dylib`BNNSCopy + 616 frame pytorch#9: 0x000000030c74d950 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy_using_bnns(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&) + 188 frame pytorch#10: 0x000000030c74cfdc _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) + 72 frame pytorch#11: 0x000000030c74ceec _portable_lib.cpython-310-darwin.so`executorchcoreml::MultiArray::copy(executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) const + 148 frame pytorch#12: 0x000000030c7488d4 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 376 frame pytorch#13: 0x000000030c748ac8 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 52 frame pytorch#14: 0x000000019ad33f4c CoreML`CoreML::MultiArrayBuffer::getBytesWithHandler(void (void const*, unsigned long) block_pointer) const + 340 frame pytorch#15: 0x000000019ad34138 CoreML`-[MLMultiArray(ScopedBufferAccess) getBytesWithHandler:] + 152 frame pytorch#16: 0x000000030c7485ec _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 296 frame pytorch#17: 0x000000030c744f68 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::set_outputs(std::__1::vector<executorchcoreml::MultiArray, std::__1::allocator<executorchcoreml::MultiArray>>&, NSArray<MLMultiArray*>*) + 180 ``` With this PR, the process succeeds.

* parent 5021c18 author Nikhil Viswanath Sivakumar <68182521+nil-is-all@users.noreply.github.com> 1741841357 -0500 committer Nikhil Viswanath Sivakumar <nikhilviswanath@meta.com> 1745433893 -0500 Migrate iOS Demo App parent 5021c18 author Nikhil Viswanath Sivakumar <68182521+nil-is-all@users.noreply.github.com> 1741841357 -0500 committer Nikhil Viswanath Sivakumar <nikhilviswanath@meta.com> 1745433648 -0500 Migrate iOS Demo App Migrate iOS app demo as README.md Reproduced https://github.com/pytorch/executorch/tree/main/examples/demo-apps/apple_ios/ExecuTorchDemo and added last line in docs to point to this GitHub repo Changed file path to executorch-examples/mv3/apple/MobileNetV3Demo/README.md Changed directory and made changes after local testing Final directory: executorch-examples/mv3/apple/ExecuTorchDemo Changes from [current demo](https://pytorch.org/executorch/main/demo-apps-ios.html#): 1) Check Swift Package Manager version under Prerequisites 2) Export Model - export.py for backends 3) Directory changes in Final Steps Files for iOS MV3 Demo App export script for MV3.pte and XNNPack, CoreML, MPS backends Update README.md Rename mv3/apple/ExecuTorchDemo/export.py to mv3/apple/ExecuTorchDemo/python/export.py Removed export.py code block from README.md Added code formatting for Clone the Demo App subsection added snapshot url Delete mv3/apple/ExecuTorchDemo/ExecuTorchDemo/Resources/Models/MobileNet directory atomically migrated apple/ExecuTorch to mv3/apple/ExecuTorchDemo Updated directory structure to have python in mv3 folder fixed typo in .gitignore Update project.pbxproj to pin to 0.6.0 (#11) MV2 cpp and python example (#13) Update README.md (#12) * Update README.md * Update README.md fix directory and resolve conflicts MV2 cpp and python example (#13) Update .gitignore (#17) * Delete xcuserdata * Delete *.xcworkspace --------- Co-authored-by: Mergen Nachin <mnachin@meta.com>

facebook-github-bot · 2023-07-20T05:03:15Z

The internal and external repositories are out of sync. This attempts to brings them back in sync by patching the GitHub repository. Please carefully review this patch. You must disable ShipIt for your project in order to merge this pull request. DO NOT IMPORT this pull request. Instead, merge it directly on GitHub using the MERGE BUTTON. Re-enable ShipIt after merging.

Summary: python -m executorch.examples.models.llama2.export_llama --disable_dynamic_shape --qnn --pt2e_quantize qnn_16a4w Segfault error stacktrace ``` [INFO] [Qnn ExecuTorch]: Initialize Qnn backend parameters for Qnn executorch backend type 2 [INFO] [Qnn ExecuTorch]: Caching: Caching is in SAVE MODE. [WARNING] [Qnn ExecuTorch]: Qnn API version 2.19.0 is used. The version is tested against 2.18.0. [INFO] [Qnn ExecuTorch]: Running level=3 optimization. AddressSanitizer:DEADLYSIGNAL ================================================================= ==1523599==ERROR: AddressSanitizer: SEGV on unknown address 0x000000000020 (pc 0x7f1585ee38e2 bp 0x7f16d5ab8800 sp 0x7ffed19ab8b0 T0) ==1523599==The signal is caused by a READ memory access. ==1523599==Hint: address points to the zero page. SCARINESS: 10 (null-deref) #0 0x7f1585ee38e2 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2ce38e2) (BuildId: bc3ab8ddc89a0e65) #1 0x7f1585dd8926 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2bd8926) (BuildId: bc3ab8ddc89a0e65) #2 0x7f15844d1161 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12d1161) (BuildId: bc3ab8ddc89a0e65) #3 0x7f15844dcac6 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12dcac6) (BuildId: bc3ab8ddc89a0e65) #4 0x7f15844d245b (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12d245b) (BuildId: bc3ab8ddc89a0e65) #5 0x7f15b9bc7b21 in auto torch::executor::qnn::QnnInterface::qnn_backend_validate_op_config<void*, Qnn_OpConfig_t>(void*, Qnn_OpConfig_t) const fbcode/executorch/backends/qualcomm/runtime/backends/QnnFunctionInterface.h:39 pytorch#6 0x7f15b9bc7682 in torch::executor::qnn::QnnBackend::BackendValidateOpConfig(Qnn_OpConfig_t const&) fbcode/executorch/backends/qualcomm/runtime/backends/QnnBackendCommon.h:41 pytorch#7 0x7f15b9bc7115 in torch::executor::qnn::QnnManager::IsNodeSupportedByBackend(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) fbcode/executorch/backends/qualcomm/runtime/QnnManager.cpp:450 pytorch#8 0x7f15b9dd44ee in torch::executor::qnn::PyQnnManager::IsNodeSupportedByBackend(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) fbcode/executorch/backends/qualcomm/aot/python/PyQnnManagerAdaptor.h:57 pytorch#9 0x7f15b9e5b986 in pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)::operator()(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) const fbsource/pybind11/pybind11.h:84 pytorch#10 0x7f15b9e5b8b5 in bool pybind11::detail::argument_loader<torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&>::call_impl<bool, pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&, 0ul, 1ul, pybind11::detail::void_type>(torch::executor::qnn::PyQnnManager&&, std::integer_sequence<unsigned long, 0ul, 1ul>, pybind11::detail::void_type&&) && fbsource/pybind11/cast.h:2042 pytorch#11 0x7f15b9e53831 in std::enable_if<!std::is_void<bool>::value, bool>::type pybind11::detail::argument_loader<torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&>::call<bool, pybind11::detail::void_type, pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&>(pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&) && fbsource/pybind11/cast.h:2014 pytorch#12 0x7f15b9e53454 in void pybind11::cpp_function::initialize<pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), bool, torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool&&, torch::executor::qnn::PyQnnManager (*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(pybind11::detail::function_call&)::operator()(pybind11::detail::function_call&) const fbsource/pybind11/pybind11.h:193 pytorch#13 0x7f15b9e530d3 in void pybind11::cpp_function::initialize<pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), bool, torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool&&, torch::executor::qnn::PyQnnManager (*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(pybind11::detail::function_call&)::__invoke(pybind11::detail::function_call&) fbsource/pybind11/pybind11.h:170 pytorch#14 0x7f15b9d8f707 in pybind11::cpp_function::dispatcher(_object*, _object*, _object*) fbsource/pybind11/pybind11.h:767 pytorch#15 0x327141 in cfunction_call(_object*, _object*, _object*) (.__uniq.281047882695835599676768160755749362799) (/usr/local/fbcode/platform010/bin/python3.10+0x327141) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#16 0x349630 in _PyObject_MakeTpCall (/usr/local/fbcode/platform010/bin/python3.10+0x349630) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#17 0x5897d4 in method_vectorcall(_object*, _object* const*, unsigned long, _object*) (.__uniq.243338978568352371442406765225626566013.llvm.6236606370933165261) (/usr/local/fbcode/platform010/bin/python3.10+0x5897d4) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#18 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#19 0x331421 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331421) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#20 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#21 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#22 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#23 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#24 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#25 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#26 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#27 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#28 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#29 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#30 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#31 0x331577 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331577) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#32 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#33 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#34 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#35 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#36 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#37 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#38 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#39 0x39ad7d in _PyObject_FastCallDictTstate (/usr/local/fbcode/platform010/bin/python3.10+0x39ad7d) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#40 0x3c8b72 in slot_tp_call(_object*, _object*, _object*) (.__uniq.235726554139783955843240177532338160225) (/usr/local/fbcode/platform010/bin/python3.10+0x3c8b72) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#41 0x392ca8 in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x392ca8) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#42 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#43 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#44 0x331b18 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331b18) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#45 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#46 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#47 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#48 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#49 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#50 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#51 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#52 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#53 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#54 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#55 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#56 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#57 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#58 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#59 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#60 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#61 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#62 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#63 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#64 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#65 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#66 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#67 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#68 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#69 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#70 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#71 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#72 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#73 0x431565 in PyEval_EvalCode (/usr/local/fbcode/platform010/bin/python3.10+0x431565) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#74 0x431447 in run_mod(_mod*, _object*, _object*, _object*, PyCompilerFlags*, _arena*) (.__uniq.251861886623903963524397139660542440724.llvm.17622910512627074885) (/usr/local/fbcode/platform010/bin/python3.10+0x431447) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#75 0x4e3054 in pyrun_file(_IO_FILE*, _object*, int, _object*, _object*, int, PyCompilerFlags*) (.__uniq.251861886623903963524397139660542440724) (/usr/local/fbcode/platform010/bin/python3.10+0x4e3054) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#76 0x4e2b54 in _PyRun_SimpleFileObject (/usr/local/fbcode/platform010/bin/python3.10+0x4e2b54) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#77 0x4e28f1 in _PyRun_AnyFileObject (/usr/local/fbcode/platform010/bin/python3.10+0x4e28f1) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#78 0x4d4a54 in Py_RunMain (/usr/local/fbcode/platform010/bin/python3.10+0x4d4a54) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#79 0x4d286b in pymain_main(_PyArgv*) (.__uniq.297908980262787110426434251325078884054) (/usr/local/fbcode/platform010/bin/python3.10+0x4d286b) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#80 0x4d2759 in Py_BytesMain (/usr/local/fbcode/platform010/bin/python3.10+0x4d2759) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#81 0x7f19e282c656 in __libc_start_call_main (/usr/local/fbcode/platform010/lib/libc.so.6+0x2c656) (BuildId: 93cdceeb8322234c38e1f2c93ad0ff10c7632fa6) pytorch#82 0x7f19e282c717 in __libc_start_main@GLIBC_2.2.5 (/usr/local/fbcode/platform010/lib/libc.so.6+0x2c717) (BuildId: 93cdceeb8322234c38e1f2c93ad0ff10c7632fa6) pytorch#83 0x553d90 in _start (/usr/local/fbcode/platform010/bin/python3.10+0x553d90) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) AddressSanitizer can not provide additional info. AddressSanitizer: SEGV (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2ce38e2) (BuildId: bc3ab8ddc89a0e65) ==1523599==ABORTING ``` Differential Revision: D63736779

cmake updates for openvino

…a Neutron Node inside a TFLite model. Merge in AITEC/executorch from feature/EIEX-52-neutron-backend-extraction-of-neutron-artefacts-from-tflite-flatbuffer to main-nxp * commit '306a3cb3fde378778e82959623fd0c8318dadddc': Add support for extracting the payload from a Neutron Node inside a TFLite model.

Summary: index should always be smaller than weight.size(0). Adding this check in `op_embedding`. This is to avoid wild-addr-read error: ``` AddressSanitizer:DEADLYSIGNAL ================================================================= ==3544359==ERROR: AddressSanitizer: SEGV on unknown address 0x7fce2364bc00 (pc 0x000002d225a0 bp 0x7ffffc792a40 sp 0x7ffffc792990 T0) ==3544359==The signal is caused by a READ memory access. SCARINESS: 20 (wild-addr-read) #0 0x2d225a0 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 #1 0x2d22367 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #2 0x2d2223d in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #3 0x2d21d37 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #4 0x2d21bca in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #5 0x2d20f8f in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #6 0x2d20e13 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #7 0x2d20d06 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #8 0x2d226b7 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::KernelRuntimeContext&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:329 #9 0x2d09bef in torch::executor::function::(anonymous namespace)::$_7::operator()(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) const buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:322 #10 0x2d09a70 in torch::executor::function::(anonymous namespace)::$_7::__invoke(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:297 #11 0x27d769b in executorch::runtime::Method::execute_instruction() xplat/executorch/runtime/executor/method.cpp:1306 #12 0x27d8c55 in executorch::runtime::Method::execute() xplat/executorch/runtime/executor/method.cpp:1550 #13 0x27b1e25 in executorch::extension::Module::execute(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char>> const&, std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.cpp:261 #14 0x27afe43 in executorch::extension::Module::forward(std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.h:340 #15 0x27e0519 in executorch::extension::llm::LlmBackboneRunner::run(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llm_backbone_runner.cpp:58 #16 0x27a35c9 in executorch::extension::llm::Llama4Runner::prefill_tokens(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llama4_runner.cpp:133 #17 0x885774 in main (/data/users/larryliu/fbsource/buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/cria/benchmark/llama4/__generation_main__/generation_main+0x885774) #18 0x7fce2122c656 in __libc_start_call_main /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/nptl/libc_start_call_main.h:58:16 #19 0x7fce2122c717 in __libc_start_main@GLIBC_2.2.5 /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../csu/libc-start.c:409:3 #20 0x884c20 in _start /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/x86_64/start.S:116 AddressSanitizer can not provide additional info. AddressSanitizer: SEGV xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) ==3544359==ABORTING ``` Differential Revision: D75982682

Summary: index should always be smaller than weight.size(0). Adding this check in `op_embedding`. This is to avoid wild-addr-read error: ``` AddressSanitizer:DEADLYSIGNAL ================================================================= ==3544359==ERROR: AddressSanitizer: SEGV on unknown address 0x7fce2364bc00 (pc 0x000002d225a0 bp 0x7ffffc792a40 sp 0x7ffffc792990 T0) ==3544359==The signal is caused by a READ memory access. SCARINESS: 20 (wild-addr-read) #0 0x2d225a0 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 #1 0x2d22367 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #2 0x2d2223d in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #3 0x2d21d37 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #4 0x2d21bca in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #5 0x2d20f8f in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #6 0x2d20e13 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #7 0x2d20d06 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #8 0x2d226b7 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::KernelRuntimeContext&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:329 #9 0x2d09bef in torch::executor::function::(anonymous namespace)::$_7::operator()(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) const buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:322 #10 0x2d09a70 in torch::executor::function::(anonymous namespace)::$_7::__invoke(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:297 #11 0x27d769b in executorch::runtime::Method::execute_instruction() xplat/executorch/runtime/executor/method.cpp:1306 #12 0x27d8c55 in executorch::runtime::Method::execute() xplat/executorch/runtime/executor/method.cpp:1550 #13 0x27b1e25 in executorch::extension::Module::execute(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char>> const&, std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.cpp:261 #14 0x27afe43 in executorch::extension::Module::forward(std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.h:340 #15 0x27e0519 in executorch::extension::llm::LlmBackboneRunner::run(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llm_backbone_runner.cpp:58 #16 0x27a35c9 in executorch::extension::llm::Llama4Runner::prefill_tokens(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llama4_runner.cpp:133 #17 0x885774 in main (/data/users/larryliu/fbsource/buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/cria/benchmark/llama4/__generation_main__/generation_main+0x885774) #18 0x7fce2122c656 in __libc_start_call_main /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/nptl/libc_start_call_main.h:58:16 #19 0x7fce2122c717 in __libc_start_main@GLIBC_2.2.5 /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../csu/libc-start.c:409:3 #20 0x884c20 in _start /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/x86_64/start.S:116 AddressSanitizer can not provide additional info. AddressSanitizer: SEGV xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) ==3544359==ABORTING ``` Test Plan: Imported from GitHub, without a `Test Plan:` line. Rollback Plan: Reviewed By: Gasoonjia Differential Revision: D75982682 Pulled By: larryliu0820

Improve error message

BNNS copy crashes the process when the dtypes differ (#11714). With the example in this PR (#11714), we crash the process on main. Here is the stack trace from LLDB: ``` Process 19234 stopped * thread #1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 libsystem_kernel.dylib`__pthread_kill: -> 0x190ac9388 <+8>: b.lo 0x190ac93a8 ; <+40> 0x190ac938c <+12>: pacibsp 0x190ac9390 <+16>: stp x29, x30, [sp, #-0x10]! 0x190ac9394 <+20>: mov x29, sp (lldb) bt * thread #1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT * frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 frame #1: 0x0000000190b0288c libsystem_pthread.dylib`pthread_kill + 296 frame #2: 0x0000000190a0bc60 libsystem_c.dylib`abort + 124 frame #3: 0x0000000190910174 libsystem_malloc.dylib`malloc_vreport + 892 frame #4: 0x0000000190913c90 libsystem_malloc.dylib`malloc_report + 64 frame #5: 0x000000019091821c libsystem_malloc.dylib`___BUG_IN_CLIENT_OF_LIBMALLOC_POINTER_BEING_FREED_WAS_NOT_ALLOCATED + 32 frame #6: 0x000000019d2f4084 libBNNS.dylib`___lldb_unnamed_symbol1620 + 564 frame #7: 0x000000019d2f5bac libBNNS.dylib`___lldb_unnamed_symbol1628 + 680 frame #8: 0x000000019d69ce48 libBNNS.dylib`BNNSCopy + 616 frame #9: 0x000000030c74d950 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy_using_bnns(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&) + 188 frame #10: 0x000000030c74cfdc _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) + 72 frame #11: 0x000000030c74ceec _portable_lib.cpython-310-darwin.so`executorchcoreml::MultiArray::copy(executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) const + 148 frame #12: 0x000000030c7488d4 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 376 frame #13: 0x000000030c748ac8 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 52 frame #14: 0x000000019ad33f4c CoreML`CoreML::MultiArrayBuffer::getBytesWithHandler(void (void const*, unsigned long) block_pointer) const + 340 frame #15: 0x000000019ad34138 CoreML`-[MLMultiArray(ScopedBufferAccess) getBytesWithHandler:] + 152 frame #16: 0x000000030c7485ec _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 296 frame #17: 0x000000030c744f68 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::set_outputs(std::__1::vector<executorchcoreml::MultiArray, std::__1::allocator<executorchcoreml::MultiArray>>&, NSArray<MLMultiArray*>*) + 180 ``` With this PR, the process succeeds.

Summary: At runtime this format specifier is not correctly handled. The misformatted string get's passed to strlen and eventually causes an assertion. ``` #0 strlen () at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/machine/xtensa/strlen.S:59 pytorch#1 0x610bd83d in _svfprintf_r (data=<optimized out>, fp=<optimized out>, fmt0=<optimized out>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vfprintf.c:1380 pytorch#2 0x610ffcf4 in _vsnprintf_r (ptr=<optimized out>, size=256, fmt=0x20 <error: Cannot access memory at address 0x20>, str=<optimized out>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vsnprintf.c:66 pytorch#3 vsnprintf (str=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", size=256, fmt=0x20 <error: Cannot access memory at address 0x20>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vsnprintf.c:41 pytorch#4 0x610d4ddd in executorch::runtime::internal::vlogf (level=<optimized out>, timestamp=<optimized out>, filename=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", function=0x60fd5fd7 "resolve_operator", line=735, format=0x60fd6023 "Missing operator: [%zd] %s", args=...) at xplat/executorch/runtime/platform/log.cpp:88 pytorch#5 0x610ce2db in executorch::runtime::internal::logf (level=executorch::runtime::LogLevel::Error, timestamp=3330441403, filename=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", function=0x14012d3e <irt_janus_workq_stack+5214> "\026\262\273\200\202", <incomplete sequence \306>, line=735, format=0x60fd6023 "Missing operator: [%zd] %s") at /execution-workspace/buck-out/v2/gen/fbsource/e7835b44f7cec64a/xplat/executorch/runtime/platform/__platform__/buck-headers/executorch/runtime/platform/log.h:140 pytorch#6 0x610d8b60 in executorch::runtime::Method::resolve_operator (this=<optimized out>, op_index=1, kernels=<optimized out>, kernel_index=<optimized out>, args=..., n_args=7) at xplat/executorch/runtime/executor/method.cpp:731 pytorch#7 0x60ff2d70 in executorch::runtime::Method::init (this=0x14012fa0 <irt_janus_workq_stack+5824>, s_plan=<optimized out>, external_data_map=<optimized out>) at xplat/executorch/runtime/executor/method.cpp:926 pytorch#8 0x610d8c33 in executorch::runtime::Method::load (s_plan=0xb21690b4, program=<optimized out>, memory_manager=0xabd400f0, event_tracer=0xad540000, external_data_map=0x0) at xplat/executorch/runtime/executor/method.cpp:761 pytorch#9 0x610db216 in executorch::runtime::Program::load_method (this=0xabd4000c, method_name=<optimized out>, memory_manager=0xabd400f0, event_tracer=0xad540000, named_data_map=<optimized out>) at xplat/executorch/runtime/executor/program.cpp:299 pytorch#10 0x60ff1a80 in MethodContainer::init (this=<optimized out>, modelBuffer=..., weightBuffer=..., methodName=<optimized out>, plannedMemoryBuffers=..., methodAllocator=..., tempAllocator=..., etDumpBuffer=..., debugBufferDataSink=0x0) at arvr/firmware/silicon/ml/executorch/method_container/src/MethodContainer.cpp:104 pytorch#11 0x610cdef9 in InferenceRunnerExecutorch::initializeExecutorchObjects (this=<optimized out>) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunnerExecutorch.cpp:255 pytorch#12 0x610ce06a in InferenceRunnerExecutorch::evaluate (this=0x14013268 <irt_janus_workq_stack+6536>) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunnerExecutorch.cpp:297 pytorch#13 0x610cd186 in execute_model (inferenceRuntimeContext=0x24227680) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunner.cpp:60 pytorch#14 0x610ccf0c in tirt_engine_invoke (inference_request=0x24220000) at arvr/firmware/silicon/turing/tirt/engine/src/Engine.cpp:125 pytorch#15 0x610cce25 in tirt::dispatch::tirt_command_process (request=0x24220000) at arvr/firmware/silicon/turing/tirt/command_dispatch/src/tirt_dispatcher.cpp:71 pytorch#16 0x610ccae7 in irt_janus_msg_handler (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, ctx=0x0, header=0x140137fd <irt_janus_workq_stack+7965>, payload=0x24220000, status=<optimized out>) at arvr/firmware/silicon/turing/tirt/src/IrtIccJanus.cpp:143 --Type <RET> for more, q to quit, c to continue without paging-- pytorch#17 0x610c80ec in _janus_service_handle_message (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, service_info=0x140137f8 <irt_janus_workq_stack+7960>) at arvr/firmware/wearables/libs/janus/session/consumer.c:1099 pytorch#18 janus_service (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, method=JANUS_SERVICE_ONE) at arvr/firmware/wearables/libs/janus/session/consumer.c:2236 pytorch#19 0x610c9d9a in _work_handler (w=0x14009e08 <s_janus_workq_sessions+8>) at arvr/firmware/wearables/libs/janus/modules/janus_workq/src/workq.c:62 pytorch#20 0x61100409 in triggered_work_handler (work=0x14009e08 <s_janus_workq_sessions+8>) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/kernel/poll.c:590 pytorch#21 0x610d139f in work_queue_main (workq_ptr=0x14000f98 <s_janus_workq+24>, p2=<optimized out>, p3=<optimized out>) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/kernel/work.c:688 pytorch#22 0x610c1172 in z_thread_entry (entry=0x610d1344 <work_queue_main>, p1=0x14000f98 <s_janus_workq+24>, p2=0x14001038 <s_janus_workq+184>, p3=0xfffffffd) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/lib/os/thread_entry.c:48 ``` Reviewed By: lucylq, JacobSzwejbka Differential Revision: D79776266

BNNS copy crashes the process when the dtypes differ (pytorch#11714). With the example in this PR (pytorch#11714), we crash the process on main. Here is the stack trace from LLDB: ``` Process 19234 stopped * thread pytorch#1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 libsystem_kernel.dylib`__pthread_kill: -> 0x190ac9388 <+8>: b.lo 0x190ac93a8 ; <+40> 0x190ac938c <+12>: pacibsp 0x190ac9390 <+16>: stp x29, x30, [sp, #-0x10]! 0x190ac9394 <+20>: mov x29, sp (lldb) bt * thread pytorch#1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT * frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 frame pytorch#1: 0x0000000190b0288c libsystem_pthread.dylib`pthread_kill + 296 frame pytorch#2: 0x0000000190a0bc60 libsystem_c.dylib`abort + 124 frame pytorch#3: 0x0000000190910174 libsystem_malloc.dylib`malloc_vreport + 892 frame pytorch#4: 0x0000000190913c90 libsystem_malloc.dylib`malloc_report + 64 frame pytorch#5: 0x000000019091821c libsystem_malloc.dylib`___BUG_IN_CLIENT_OF_LIBMALLOC_POINTER_BEING_FREED_WAS_NOT_ALLOCATED + 32 frame pytorch#6: 0x000000019d2f4084 libBNNS.dylib`___lldb_unnamed_symbol1620 + 564 frame pytorch#7: 0x000000019d2f5bac libBNNS.dylib`___lldb_unnamed_symbol1628 + 680 frame pytorch#8: 0x000000019d69ce48 libBNNS.dylib`BNNSCopy + 616 frame pytorch#9: 0x000000030c74d950 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy_using_bnns(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&) + 188 frame pytorch#10: 0x000000030c74cfdc _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) + 72 frame pytorch#11: 0x000000030c74ceec _portable_lib.cpython-310-darwin.so`executorchcoreml::MultiArray::copy(executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) const + 148 frame pytorch#12: 0x000000030c7488d4 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 376 frame pytorch#13: 0x000000030c748ac8 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 52 frame pytorch#14: 0x000000019ad33f4c CoreML`CoreML::MultiArrayBuffer::getBytesWithHandler(void (void const*, unsigned long) block_pointer) const + 340 frame pytorch#15: 0x000000019ad34138 CoreML`-[MLMultiArray(ScopedBufferAccess) getBytesWithHandler:] + 152 frame pytorch#16: 0x000000030c7485ec _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 296 frame pytorch#17: 0x000000030c744f68 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::set_outputs(std::__1::vector<executorchcoreml::MultiArray, std::__1::allocator<executorchcoreml::MultiArray>>&, NSArray<MLMultiArray*>*) + 180 ``` With this PR, the process succeeds.

* parent 5021c18 author Nikhil Viswanath Sivakumar <68182521+nil-is-all@users.noreply.github.com> 1741841357 -0500 committer Nikhil Viswanath Sivakumar <nikhilviswanath@meta.com> 1745433893 -0500 Migrate iOS Demo App parent 5021c18 author Nikhil Viswanath Sivakumar <68182521+nil-is-all@users.noreply.github.com> 1741841357 -0500 committer Nikhil Viswanath Sivakumar <nikhilviswanath@meta.com> 1745433648 -0500 Migrate iOS Demo App Migrate iOS app demo as README.md Reproduced https://github.com/pytorch/executorch/tree/main/examples/demo-apps/apple_ios/ExecuTorchDemo and added last line in docs to point to this GitHub repo Changed file path to executorch-examples/mv3/apple/MobileNetV3Demo/README.md Changed directory and made changes after local testing Final directory: executorch-examples/mv3/apple/ExecuTorchDemo Changes from [current demo](https://pytorch.org/executorch/main/demo-apps-ios.html#): 1) Check Swift Package Manager version under Prerequisites 2) Export Model - export.py for backends 3) Directory changes in Final Steps Files for iOS MV3 Demo App export script for MV3.pte and XNNPack, CoreML, MPS backends Update README.md Rename mv3/apple/ExecuTorchDemo/export.py to mv3/apple/ExecuTorchDemo/python/export.py Removed export.py code block from README.md Added code formatting for Clone the Demo App subsection added snapshot url Delete mv3/apple/ExecuTorchDemo/ExecuTorchDemo/Resources/Models/MobileNet directory atomically migrated apple/ExecuTorch to mv3/apple/ExecuTorchDemo Updated directory structure to have python in mv3 folder fixed typo in .gitignore Update project.pbxproj to pin to 0.6.0 (#11) MV2 cpp and python example (#13) Update README.md (#12) * Update README.md * Update README.md fix directory and resolve conflicts MV2 cpp and python example (#13) Update .gitignore (#17) * Delete xcuserdata * Delete *.xcworkspace --------- Co-authored-by: Mergen Nachin <mnachin@meta.com>

facebook-github-bot · 2023-07-20T05:03:15Z

The internal and external repositories are out of sync. This attempts to brings them back in sync by patching the GitHub repository. Please carefully review this patch. You must disable ShipIt for your project in order to merge this pull request. DO NOT IMPORT this pull request. Instead, merge it directly on GitHub using the MERGE BUTTON. Re-enable ShipIt after merging.

Summary: python -m executorch.examples.models.llama2.export_llama --disable_dynamic_shape --qnn --pt2e_quantize qnn_16a4w Segfault error stacktrace ``` [INFO] [Qnn ExecuTorch]: Initialize Qnn backend parameters for Qnn executorch backend type 2 [INFO] [Qnn ExecuTorch]: Caching: Caching is in SAVE MODE. [WARNING] [Qnn ExecuTorch]: Qnn API version 2.19.0 is used. The version is tested against 2.18.0. [INFO] [Qnn ExecuTorch]: Running level=3 optimization. AddressSanitizer:DEADLYSIGNAL ================================================================= ==1523599==ERROR: AddressSanitizer: SEGV on unknown address 0x000000000020 (pc 0x7f1585ee38e2 bp 0x7f16d5ab8800 sp 0x7ffed19ab8b0 T0) ==1523599==The signal is caused by a READ memory access. ==1523599==Hint: address points to the zero page. SCARINESS: 10 (null-deref) #0 0x7f1585ee38e2 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2ce38e2) (BuildId: bc3ab8ddc89a0e65) #1 0x7f1585dd8926 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2bd8926) (BuildId: bc3ab8ddc89a0e65) #2 0x7f15844d1161 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12d1161) (BuildId: bc3ab8ddc89a0e65) #3 0x7f15844dcac6 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12dcac6) (BuildId: bc3ab8ddc89a0e65) #4 0x7f15844d245b (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12d245b) (BuildId: bc3ab8ddc89a0e65) #5 0x7f15b9bc7b21 in auto torch::executor::qnn::QnnInterface::qnn_backend_validate_op_config<void*, Qnn_OpConfig_t>(void*, Qnn_OpConfig_t) const fbcode/executorch/backends/qualcomm/runtime/backends/QnnFunctionInterface.h:39 pytorch#6 0x7f15b9bc7682 in torch::executor::qnn::QnnBackend::BackendValidateOpConfig(Qnn_OpConfig_t const&) fbcode/executorch/backends/qualcomm/runtime/backends/QnnBackendCommon.h:41 pytorch#7 0x7f15b9bc7115 in torch::executor::qnn::QnnManager::IsNodeSupportedByBackend(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) fbcode/executorch/backends/qualcomm/runtime/QnnManager.cpp:450 pytorch#8 0x7f15b9dd44ee in torch::executor::qnn::PyQnnManager::IsNodeSupportedByBackend(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) fbcode/executorch/backends/qualcomm/aot/python/PyQnnManagerAdaptor.h:57 pytorch#9 0x7f15b9e5b986 in pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)::operator()(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) const fbsource/pybind11/pybind11.h:84 pytorch#10 0x7f15b9e5b8b5 in bool pybind11::detail::argument_loader<torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&>::call_impl<bool, pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&, 0ul, 1ul, pybind11::detail::void_type>(torch::executor::qnn::PyQnnManager&&, std::integer_sequence<unsigned long, 0ul, 1ul>, pybind11::detail::void_type&&) && fbsource/pybind11/cast.h:2042 pytorch#11 0x7f15b9e53831 in std::enable_if<!std::is_void<bool>::value, bool>::type pybind11::detail::argument_loader<torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&>::call<bool, pybind11::detail::void_type, pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&>(pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&) && fbsource/pybind11/cast.h:2014 pytorch#12 0x7f15b9e53454 in void pybind11::cpp_function::initialize<pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), bool, torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool&&, torch::executor::qnn::PyQnnManager (*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(pybind11::detail::function_call&)::operator()(pybind11::detail::function_call&) const fbsource/pybind11/pybind11.h:193 pytorch#13 0x7f15b9e530d3 in void pybind11::cpp_function::initialize<pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), bool, torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool&&, torch::executor::qnn::PyQnnManager (*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(pybind11::detail::function_call&)::__invoke(pybind11::detail::function_call&) fbsource/pybind11/pybind11.h:170 pytorch#14 0x7f15b9d8f707 in pybind11::cpp_function::dispatcher(_object*, _object*, _object*) fbsource/pybind11/pybind11.h:767 pytorch#15 0x327141 in cfunction_call(_object*, _object*, _object*) (.__uniq.281047882695835599676768160755749362799) (/usr/local/fbcode/platform010/bin/python3.10+0x327141) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#16 0x349630 in _PyObject_MakeTpCall (/usr/local/fbcode/platform010/bin/python3.10+0x349630) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#17 0x5897d4 in method_vectorcall(_object*, _object* const*, unsigned long, _object*) (.__uniq.243338978568352371442406765225626566013.llvm.6236606370933165261) (/usr/local/fbcode/platform010/bin/python3.10+0x5897d4) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#18 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#19 0x331421 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331421) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#20 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#21 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#22 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#23 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#24 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#25 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#26 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#27 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#28 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#29 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#30 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#31 0x331577 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331577) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#32 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#33 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#34 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#35 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#36 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#37 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#38 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#39 0x39ad7d in _PyObject_FastCallDictTstate (/usr/local/fbcode/platform010/bin/python3.10+0x39ad7d) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#40 0x3c8b72 in slot_tp_call(_object*, _object*, _object*) (.__uniq.235726554139783955843240177532338160225) (/usr/local/fbcode/platform010/bin/python3.10+0x3c8b72) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#41 0x392ca8 in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x392ca8) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#42 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#43 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#44 0x331b18 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331b18) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#45 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#46 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#47 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#48 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#49 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#50 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#51 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#52 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#53 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#54 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#55 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#56 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#57 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#58 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#59 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#60 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#61 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#62 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#63 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#64 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#65 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#66 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#67 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#68 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#69 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#70 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#71 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#72 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#73 0x431565 in PyEval_EvalCode (/usr/local/fbcode/platform010/bin/python3.10+0x431565) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#74 0x431447 in run_mod(_mod*, _object*, _object*, _object*, PyCompilerFlags*, _arena*) (.__uniq.251861886623903963524397139660542440724.llvm.17622910512627074885) (/usr/local/fbcode/platform010/bin/python3.10+0x431447) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#75 0x4e3054 in pyrun_file(_IO_FILE*, _object*, int, _object*, _object*, int, PyCompilerFlags*) (.__uniq.251861886623903963524397139660542440724) (/usr/local/fbcode/platform010/bin/python3.10+0x4e3054) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#76 0x4e2b54 in _PyRun_SimpleFileObject (/usr/local/fbcode/platform010/bin/python3.10+0x4e2b54) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#77 0x4e28f1 in _PyRun_AnyFileObject (/usr/local/fbcode/platform010/bin/python3.10+0x4e28f1) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#78 0x4d4a54 in Py_RunMain (/usr/local/fbcode/platform010/bin/python3.10+0x4d4a54) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#79 0x4d286b in pymain_main(_PyArgv*) (.__uniq.297908980262787110426434251325078884054) (/usr/local/fbcode/platform010/bin/python3.10+0x4d286b) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#80 0x4d2759 in Py_BytesMain (/usr/local/fbcode/platform010/bin/python3.10+0x4d2759) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#81 0x7f19e282c656 in __libc_start_call_main (/usr/local/fbcode/platform010/lib/libc.so.6+0x2c656) (BuildId: 93cdceeb8322234c38e1f2c93ad0ff10c7632fa6) pytorch#82 0x7f19e282c717 in __libc_start_main@GLIBC_2.2.5 (/usr/local/fbcode/platform010/lib/libc.so.6+0x2c717) (BuildId: 93cdceeb8322234c38e1f2c93ad0ff10c7632fa6) pytorch#83 0x553d90 in _start (/usr/local/fbcode/platform010/bin/python3.10+0x553d90) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) AddressSanitizer can not provide additional info. AddressSanitizer: SEGV (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2ce38e2) (BuildId: bc3ab8ddc89a0e65) ==1523599==ABORTING ``` Differential Revision: D63736779

cmake updates for openvino

…a Neutron Node inside a TFLite model. Merge in AITEC/executorch from feature/EIEX-52-neutron-backend-extraction-of-neutron-artefacts-from-tflite-flatbuffer to main-nxp * commit '306a3cb3fde378778e82959623fd0c8318dadddc': Add support for extracting the payload from a Neutron Node inside a TFLite model.

Summary: index should always be smaller than weight.size(0). Adding this check in `op_embedding`. This is to avoid wild-addr-read error: ``` AddressSanitizer:DEADLYSIGNAL ================================================================= ==3544359==ERROR: AddressSanitizer: SEGV on unknown address 0x7fce2364bc00 (pc 0x000002d225a0 bp 0x7ffffc792a40 sp 0x7ffffc792990 T0) ==3544359==The signal is caused by a READ memory access. SCARINESS: 20 (wild-addr-read) #0 0x2d225a0 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 #1 0x2d22367 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #2 0x2d2223d in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #3 0x2d21d37 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #4 0x2d21bca in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #5 0x2d20f8f in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #6 0x2d20e13 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #7 0x2d20d06 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #8 0x2d226b7 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::KernelRuntimeContext&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:329 #9 0x2d09bef in torch::executor::function::(anonymous namespace)::$_7::operator()(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) const buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:322 #10 0x2d09a70 in torch::executor::function::(anonymous namespace)::$_7::__invoke(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:297 #11 0x27d769b in executorch::runtime::Method::execute_instruction() xplat/executorch/runtime/executor/method.cpp:1306 #12 0x27d8c55 in executorch::runtime::Method::execute() xplat/executorch/runtime/executor/method.cpp:1550 #13 0x27b1e25 in executorch::extension::Module::execute(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char>> const&, std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.cpp:261 #14 0x27afe43 in executorch::extension::Module::forward(std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.h:340 #15 0x27e0519 in executorch::extension::llm::LlmBackboneRunner::run(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llm_backbone_runner.cpp:58 #16 0x27a35c9 in executorch::extension::llm::Llama4Runner::prefill_tokens(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llama4_runner.cpp:133 #17 0x885774 in main (/data/users/larryliu/fbsource/buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/cria/benchmark/llama4/__generation_main__/generation_main+0x885774) #18 0x7fce2122c656 in __libc_start_call_main /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/nptl/libc_start_call_main.h:58:16 #19 0x7fce2122c717 in __libc_start_main@GLIBC_2.2.5 /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../csu/libc-start.c:409:3 #20 0x884c20 in _start /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/x86_64/start.S:116 AddressSanitizer can not provide additional info. AddressSanitizer: SEGV xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) ==3544359==ABORTING ``` Differential Revision: D75982682

Summary: index should always be smaller than weight.size(0). Adding this check in `op_embedding`. This is to avoid wild-addr-read error: ``` AddressSanitizer:DEADLYSIGNAL ================================================================= ==3544359==ERROR: AddressSanitizer: SEGV on unknown address 0x7fce2364bc00 (pc 0x000002d225a0 bp 0x7ffffc792a40 sp 0x7ffffc792990 T0) ==3544359==The signal is caused by a READ memory access. SCARINESS: 20 (wild-addr-read) #0 0x2d225a0 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 #1 0x2d22367 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #2 0x2d2223d in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #3 0x2d21d37 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #4 0x2d21bca in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #5 0x2d20f8f in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #6 0x2d20e13 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #7 0x2d20d06 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #8 0x2d226b7 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::KernelRuntimeContext&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:329 #9 0x2d09bef in torch::executor::function::(anonymous namespace)::$_7::operator()(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) const buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:322 #10 0x2d09a70 in torch::executor::function::(anonymous namespace)::$_7::__invoke(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:297 #11 0x27d769b in executorch::runtime::Method::execute_instruction() xplat/executorch/runtime/executor/method.cpp:1306 #12 0x27d8c55 in executorch::runtime::Method::execute() xplat/executorch/runtime/executor/method.cpp:1550 #13 0x27b1e25 in executorch::extension::Module::execute(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char>> const&, std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.cpp:261 #14 0x27afe43 in executorch::extension::Module::forward(std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.h:340 #15 0x27e0519 in executorch::extension::llm::LlmBackboneRunner::run(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llm_backbone_runner.cpp:58 #16 0x27a35c9 in executorch::extension::llm::Llama4Runner::prefill_tokens(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llama4_runner.cpp:133 #17 0x885774 in main (/data/users/larryliu/fbsource/buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/cria/benchmark/llama4/__generation_main__/generation_main+0x885774) #18 0x7fce2122c656 in __libc_start_call_main /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/nptl/libc_start_call_main.h:58:16 #19 0x7fce2122c717 in __libc_start_main@GLIBC_2.2.5 /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../csu/libc-start.c:409:3 #20 0x884c20 in _start /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/x86_64/start.S:116 AddressSanitizer can not provide additional info. AddressSanitizer: SEGV xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) ==3544359==ABORTING ``` Test Plan: Imported from GitHub, without a `Test Plan:` line. Rollback Plan: Reviewed By: Gasoonjia Differential Revision: D75982682 Pulled By: larryliu0820

Improve error message

BNNS copy crashes the process when the dtypes differ (#11714). With the example in this PR (#11714), we crash the process on main. Here is the stack trace from LLDB: ``` Process 19234 stopped * thread #1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 libsystem_kernel.dylib`__pthread_kill: -> 0x190ac9388 <+8>: b.lo 0x190ac93a8 ; <+40> 0x190ac938c <+12>: pacibsp 0x190ac9390 <+16>: stp x29, x30, [sp, #-0x10]! 0x190ac9394 <+20>: mov x29, sp (lldb) bt * thread #1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT * frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 frame #1: 0x0000000190b0288c libsystem_pthread.dylib`pthread_kill + 296 frame #2: 0x0000000190a0bc60 libsystem_c.dylib`abort + 124 frame #3: 0x0000000190910174 libsystem_malloc.dylib`malloc_vreport + 892 frame #4: 0x0000000190913c90 libsystem_malloc.dylib`malloc_report + 64 frame #5: 0x000000019091821c libsystem_malloc.dylib`___BUG_IN_CLIENT_OF_LIBMALLOC_POINTER_BEING_FREED_WAS_NOT_ALLOCATED + 32 frame #6: 0x000000019d2f4084 libBNNS.dylib`___lldb_unnamed_symbol1620 + 564 frame #7: 0x000000019d2f5bac libBNNS.dylib`___lldb_unnamed_symbol1628 + 680 frame #8: 0x000000019d69ce48 libBNNS.dylib`BNNSCopy + 616 frame #9: 0x000000030c74d950 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy_using_bnns(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&) + 188 frame #10: 0x000000030c74cfdc _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) + 72 frame #11: 0x000000030c74ceec _portable_lib.cpython-310-darwin.so`executorchcoreml::MultiArray::copy(executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) const + 148 frame #12: 0x000000030c7488d4 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 376 frame #13: 0x000000030c748ac8 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 52 frame #14: 0x000000019ad33f4c CoreML`CoreML::MultiArrayBuffer::getBytesWithHandler(void (void const*, unsigned long) block_pointer) const + 340 frame #15: 0x000000019ad34138 CoreML`-[MLMultiArray(ScopedBufferAccess) getBytesWithHandler:] + 152 frame #16: 0x000000030c7485ec _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 296 frame #17: 0x000000030c744f68 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::set_outputs(std::__1::vector<executorchcoreml::MultiArray, std::__1::allocator<executorchcoreml::MultiArray>>&, NSArray<MLMultiArray*>*) + 180 ``` With this PR, the process succeeds.

Summary: At runtime this format specifier is not correctly handled. The misformatted string get's passed to strlen and eventually causes an assertion. ``` #0 strlen () at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/machine/xtensa/strlen.S:59 pytorch#1 0x610bd83d in _svfprintf_r (data=<optimized out>, fp=<optimized out>, fmt0=<optimized out>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vfprintf.c:1380 pytorch#2 0x610ffcf4 in _vsnprintf_r (ptr=<optimized out>, size=256, fmt=0x20 <error: Cannot access memory at address 0x20>, str=<optimized out>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vsnprintf.c:66 pytorch#3 vsnprintf (str=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", size=256, fmt=0x20 <error: Cannot access memory at address 0x20>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vsnprintf.c:41 pytorch#4 0x610d4ddd in executorch::runtime::internal::vlogf (level=<optimized out>, timestamp=<optimized out>, filename=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", function=0x60fd5fd7 "resolve_operator", line=735, format=0x60fd6023 "Missing operator: [%zd] %s", args=...) at xplat/executorch/runtime/platform/log.cpp:88 pytorch#5 0x610ce2db in executorch::runtime::internal::logf (level=executorch::runtime::LogLevel::Error, timestamp=3330441403, filename=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", function=0x14012d3e <irt_janus_workq_stack+5214> "\026\262\273\200\202", <incomplete sequence \306>, line=735, format=0x60fd6023 "Missing operator: [%zd] %s") at /execution-workspace/buck-out/v2/gen/fbsource/e7835b44f7cec64a/xplat/executorch/runtime/platform/__platform__/buck-headers/executorch/runtime/platform/log.h:140 pytorch#6 0x610d8b60 in executorch::runtime::Method::resolve_operator (this=<optimized out>, op_index=1, kernels=<optimized out>, kernel_index=<optimized out>, args=..., n_args=7) at xplat/executorch/runtime/executor/method.cpp:731 pytorch#7 0x60ff2d70 in executorch::runtime::Method::init (this=0x14012fa0 <irt_janus_workq_stack+5824>, s_plan=<optimized out>, external_data_map=<optimized out>) at xplat/executorch/runtime/executor/method.cpp:926 pytorch#8 0x610d8c33 in executorch::runtime::Method::load (s_plan=0xb21690b4, program=<optimized out>, memory_manager=0xabd400f0, event_tracer=0xad540000, external_data_map=0x0) at xplat/executorch/runtime/executor/method.cpp:761 pytorch#9 0x610db216 in executorch::runtime::Program::load_method (this=0xabd4000c, method_name=<optimized out>, memory_manager=0xabd400f0, event_tracer=0xad540000, named_data_map=<optimized out>) at xplat/executorch/runtime/executor/program.cpp:299 pytorch#10 0x60ff1a80 in MethodContainer::init (this=<optimized out>, modelBuffer=..., weightBuffer=..., methodName=<optimized out>, plannedMemoryBuffers=..., methodAllocator=..., tempAllocator=..., etDumpBuffer=..., debugBufferDataSink=0x0) at arvr/firmware/silicon/ml/executorch/method_container/src/MethodContainer.cpp:104 pytorch#11 0x610cdef9 in InferenceRunnerExecutorch::initializeExecutorchObjects (this=<optimized out>) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunnerExecutorch.cpp:255 pytorch#12 0x610ce06a in InferenceRunnerExecutorch::evaluate (this=0x14013268 <irt_janus_workq_stack+6536>) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunnerExecutorch.cpp:297 pytorch#13 0x610cd186 in execute_model (inferenceRuntimeContext=0x24227680) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunner.cpp:60 pytorch#14 0x610ccf0c in tirt_engine_invoke (inference_request=0x24220000) at arvr/firmware/silicon/turing/tirt/engine/src/Engine.cpp:125 pytorch#15 0x610cce25 in tirt::dispatch::tirt_command_process (request=0x24220000) at arvr/firmware/silicon/turing/tirt/command_dispatch/src/tirt_dispatcher.cpp:71 pytorch#16 0x610ccae7 in irt_janus_msg_handler (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, ctx=0x0, header=0x140137fd <irt_janus_workq_stack+7965>, payload=0x24220000, status=<optimized out>) at arvr/firmware/silicon/turing/tirt/src/IrtIccJanus.cpp:143 --Type <RET> for more, q to quit, c to continue without paging-- pytorch#17 0x610c80ec in _janus_service_handle_message (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, service_info=0x140137f8 <irt_janus_workq_stack+7960>) at arvr/firmware/wearables/libs/janus/session/consumer.c:1099 pytorch#18 janus_service (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, method=JANUS_SERVICE_ONE) at arvr/firmware/wearables/libs/janus/session/consumer.c:2236 pytorch#19 0x610c9d9a in _work_handler (w=0x14009e08 <s_janus_workq_sessions+8>) at arvr/firmware/wearables/libs/janus/modules/janus_workq/src/workq.c:62 pytorch#20 0x61100409 in triggered_work_handler (work=0x14009e08 <s_janus_workq_sessions+8>) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/kernel/poll.c:590 pytorch#21 0x610d139f in work_queue_main (workq_ptr=0x14000f98 <s_janus_workq+24>, p2=<optimized out>, p3=<optimized out>) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/kernel/work.c:688 pytorch#22 0x610c1172 in z_thread_entry (entry=0x610d1344 <work_queue_main>, p1=0x14000f98 <s_janus_workq+24>, p2=0x14001038 <s_janus_workq+184>, p3=0xfffffffd) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/lib/os/thread_entry.c:48 ``` Reviewed By: lucylq, JacobSzwejbka Differential Revision: D79776266

BNNS copy crashes the process when the dtypes differ (pytorch#11714). With the example in this PR (pytorch#11714), we crash the process on main. Here is the stack trace from LLDB: ``` Process 19234 stopped * thread pytorch#1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 libsystem_kernel.dylib`__pthread_kill: -> 0x190ac9388 <+8>: b.lo 0x190ac93a8 ; <+40> 0x190ac938c <+12>: pacibsp 0x190ac9390 <+16>: stp x29, x30, [sp, #-0x10]! 0x190ac9394 <+20>: mov x29, sp (lldb) bt * thread pytorch#1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT * frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 frame pytorch#1: 0x0000000190b0288c libsystem_pthread.dylib`pthread_kill + 296 frame pytorch#2: 0x0000000190a0bc60 libsystem_c.dylib`abort + 124 frame pytorch#3: 0x0000000190910174 libsystem_malloc.dylib`malloc_vreport + 892 frame pytorch#4: 0x0000000190913c90 libsystem_malloc.dylib`malloc_report + 64 frame pytorch#5: 0x000000019091821c libsystem_malloc.dylib`___BUG_IN_CLIENT_OF_LIBMALLOC_POINTER_BEING_FREED_WAS_NOT_ALLOCATED + 32 frame pytorch#6: 0x000000019d2f4084 libBNNS.dylib`___lldb_unnamed_symbol1620 + 564 frame pytorch#7: 0x000000019d2f5bac libBNNS.dylib`___lldb_unnamed_symbol1628 + 680 frame pytorch#8: 0x000000019d69ce48 libBNNS.dylib`BNNSCopy + 616 frame pytorch#9: 0x000000030c74d950 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy_using_bnns(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&) + 188 frame pytorch#10: 0x000000030c74cfdc _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) + 72 frame pytorch#11: 0x000000030c74ceec _portable_lib.cpython-310-darwin.so`executorchcoreml::MultiArray::copy(executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) const + 148 frame pytorch#12: 0x000000030c7488d4 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 376 frame pytorch#13: 0x000000030c748ac8 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 52 frame pytorch#14: 0x000000019ad33f4c CoreML`CoreML::MultiArrayBuffer::getBytesWithHandler(void (void const*, unsigned long) block_pointer) const + 340 frame pytorch#15: 0x000000019ad34138 CoreML`-[MLMultiArray(ScopedBufferAccess) getBytesWithHandler:] + 152 frame pytorch#16: 0x000000030c7485ec _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 296 frame pytorch#17: 0x000000030c744f68 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::set_outputs(std::__1::vector<executorchcoreml::MultiArray, std::__1::allocator<executorchcoreml::MultiArray>>&, NSArray<MLMultiArray*>*) + 180 ``` With this PR, the process succeeds.

* parent 5021c18 author Nikhil Viswanath Sivakumar <68182521+nil-is-all@users.noreply.github.com> 1741841357 -0500 committer Nikhil Viswanath Sivakumar <nikhilviswanath@meta.com> 1745433893 -0500 Migrate iOS Demo App parent 5021c18 author Nikhil Viswanath Sivakumar <68182521+nil-is-all@users.noreply.github.com> 1741841357 -0500 committer Nikhil Viswanath Sivakumar <nikhilviswanath@meta.com> 1745433648 -0500 Migrate iOS Demo App Migrate iOS app demo as README.md Reproduced https://github.com/pytorch/executorch/tree/main/examples/demo-apps/apple_ios/ExecuTorchDemo and added last line in docs to point to this GitHub repo Changed file path to executorch-examples/mv3/apple/MobileNetV3Demo/README.md Changed directory and made changes after local testing Final directory: executorch-examples/mv3/apple/ExecuTorchDemo Changes from [current demo](https://pytorch.org/executorch/main/demo-apps-ios.html#): 1) Check Swift Package Manager version under Prerequisites 2) Export Model - export.py for backends 3) Directory changes in Final Steps Files for iOS MV3 Demo App export script for MV3.pte and XNNPack, CoreML, MPS backends Update README.md Rename mv3/apple/ExecuTorchDemo/export.py to mv3/apple/ExecuTorchDemo/python/export.py Removed export.py code block from README.md Added code formatting for Clone the Demo App subsection added snapshot url Delete mv3/apple/ExecuTorchDemo/ExecuTorchDemo/Resources/Models/MobileNet directory atomically migrated apple/ExecuTorch to mv3/apple/ExecuTorchDemo Updated directory structure to have python in mv3 folder fixed typo in .gitignore Update project.pbxproj to pin to 0.6.0 (#11) MV2 cpp and python example (#13) Update README.md (#12) * Update README.md * Update README.md fix directory and resolve conflicts MV2 cpp and python example (#13) Update .gitignore (#17) * Delete xcuserdata * Delete *.xcworkspace --------- Co-authored-by: Mergen Nachin <mnachin@meta.com>

facebook-github-bot · 2023-07-20T05:03:15Z

The internal and external repositories are out of sync. This attempts to brings them back in sync by patching the GitHub repository. Please carefully review this patch. You must disable ShipIt for your project in order to merge this pull request. DO NOT IMPORT this pull request. Instead, merge it directly on GitHub using the MERGE BUTTON. Re-enable ShipIt after merging.

Summary: python -m executorch.examples.models.llama2.export_llama --disable_dynamic_shape --qnn --pt2e_quantize qnn_16a4w Segfault error stacktrace ``` [INFO] [Qnn ExecuTorch]: Initialize Qnn backend parameters for Qnn executorch backend type 2 [INFO] [Qnn ExecuTorch]: Caching: Caching is in SAVE MODE. [WARNING] [Qnn ExecuTorch]: Qnn API version 2.19.0 is used. The version is tested against 2.18.0. [INFO] [Qnn ExecuTorch]: Running level=3 optimization. AddressSanitizer:DEADLYSIGNAL ================================================================= ==1523599==ERROR: AddressSanitizer: SEGV on unknown address 0x000000000020 (pc 0x7f1585ee38e2 bp 0x7f16d5ab8800 sp 0x7ffed19ab8b0 T0) ==1523599==The signal is caused by a READ memory access. ==1523599==Hint: address points to the zero page. SCARINESS: 10 (null-deref) #0 0x7f1585ee38e2 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2ce38e2) (BuildId: bc3ab8ddc89a0e65) #1 0x7f1585dd8926 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2bd8926) (BuildId: bc3ab8ddc89a0e65) #2 0x7f15844d1161 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12d1161) (BuildId: bc3ab8ddc89a0e65) #3 0x7f15844dcac6 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12dcac6) (BuildId: bc3ab8ddc89a0e65) #4 0x7f15844d245b (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12d245b) (BuildId: bc3ab8ddc89a0e65) #5 0x7f15b9bc7b21 in auto torch::executor::qnn::QnnInterface::qnn_backend_validate_op_config<void*, Qnn_OpConfig_t>(void*, Qnn_OpConfig_t) const fbcode/executorch/backends/qualcomm/runtime/backends/QnnFunctionInterface.h:39 pytorch#6 0x7f15b9bc7682 in torch::executor::qnn::QnnBackend::BackendValidateOpConfig(Qnn_OpConfig_t const&) fbcode/executorch/backends/qualcomm/runtime/backends/QnnBackendCommon.h:41 pytorch#7 0x7f15b9bc7115 in torch::executor::qnn::QnnManager::IsNodeSupportedByBackend(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) fbcode/executorch/backends/qualcomm/runtime/QnnManager.cpp:450 pytorch#8 0x7f15b9dd44ee in torch::executor::qnn::PyQnnManager::IsNodeSupportedByBackend(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) fbcode/executorch/backends/qualcomm/aot/python/PyQnnManagerAdaptor.h:57 pytorch#9 0x7f15b9e5b986 in pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)::operator()(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&) const fbsource/pybind11/pybind11.h:84 pytorch#10 0x7f15b9e5b8b5 in bool pybind11::detail::argument_loader<torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&>::call_impl<bool, pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&, 0ul, 1ul, pybind11::detail::void_type>(torch::executor::qnn::PyQnnManager&&, std::integer_sequence<unsigned long, 0ul, 1ul>, pybind11::detail::void_type&&) && fbsource/pybind11/cast.h:2042 pytorch#11 0x7f15b9e53831 in std::enable_if<!std::is_void<bool>::value, bool>::type pybind11::detail::argument_loader<torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&>::call<bool, pybind11::detail::void_type, pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&>(pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&)&) && fbsource/pybind11/cast.h:2014 pytorch#12 0x7f15b9e53454 in void pybind11::cpp_function::initialize<pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), bool, torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool&&, torch::executor::qnn::PyQnnManager (*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(pybind11::detail::function_call&)::operator()(pybind11::detail::function_call&) const fbsource/pybind11/pybind11.h:193 pytorch#13 0x7f15b9e530d3 in void pybind11::cpp_function::initialize<pybind11::cpp_function::cpp_function<bool, torch::executor::qnn::PyQnnManager, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool (torch::executor::qnn::PyQnnManager::*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), bool, torch::executor::qnn::PyQnnManager*, std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&, pybind11::name, pybind11::is_method, pybind11::sibling>(bool&&, torch::executor::qnn::PyQnnManager (*)(std::vector<std::shared_ptr<torch::executor::qnn::OpWrapper>, std::allocator<std::shared_ptr<torch::executor::qnn::OpWrapper>>>&), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(pybind11::detail::function_call&)::__invoke(pybind11::detail::function_call&) fbsource/pybind11/pybind11.h:170 pytorch#14 0x7f15b9d8f707 in pybind11::cpp_function::dispatcher(_object*, _object*, _object*) fbsource/pybind11/pybind11.h:767 pytorch#15 0x327141 in cfunction_call(_object*, _object*, _object*) (.__uniq.281047882695835599676768160755749362799) (/usr/local/fbcode/platform010/bin/python3.10+0x327141) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#16 0x349630 in _PyObject_MakeTpCall (/usr/local/fbcode/platform010/bin/python3.10+0x349630) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#17 0x5897d4 in method_vectorcall(_object*, _object* const*, unsigned long, _object*) (.__uniq.243338978568352371442406765225626566013.llvm.6236606370933165261) (/usr/local/fbcode/platform010/bin/python3.10+0x5897d4) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#18 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#19 0x331421 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331421) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#20 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#21 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#22 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#23 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#24 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#25 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#26 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#27 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#28 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#29 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#30 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#31 0x331577 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331577) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#32 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#33 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#34 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#35 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#36 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#37 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#38 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#39 0x39ad7d in _PyObject_FastCallDictTstate (/usr/local/fbcode/platform010/bin/python3.10+0x39ad7d) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#40 0x3c8b72 in slot_tp_call(_object*, _object*, _object*) (.__uniq.235726554139783955843240177532338160225) (/usr/local/fbcode/platform010/bin/python3.10+0x3c8b72) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#41 0x392ca8 in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x392ca8) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#42 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#43 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#44 0x331b18 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x331b18) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#45 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#46 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#47 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#48 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#49 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#50 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#51 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#52 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#53 0x3313f2 in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3313f2) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#54 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#55 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#56 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#57 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#58 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#59 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#60 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#61 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#62 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#63 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#64 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#65 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#66 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#67 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#68 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#69 0x327547 in _PyFunction_Vectorcall (/usr/local/fbcode/platform010/bin/python3.10+0x327547) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#70 0x3928df in call_function(_ts*, PyTraceInfo*, _object***, long, _object*) (.__uniq.79849310599369217189729546442812793949) (/usr/local/fbcode/platform010/bin/python3.10+0x3928df) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#71 0x3314ca in _PyEval_EvalFrameDefault (/usr/local/fbcode/platform010/bin/python3.10+0x3314ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#72 0x39b8ca in _PyEval_Vector (/usr/local/fbcode/platform010/bin/python3.10+0x39b8ca) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#73 0x431565 in PyEval_EvalCode (/usr/local/fbcode/platform010/bin/python3.10+0x431565) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#74 0x431447 in run_mod(_mod*, _object*, _object*, _object*, PyCompilerFlags*, _arena*) (.__uniq.251861886623903963524397139660542440724.llvm.17622910512627074885) (/usr/local/fbcode/platform010/bin/python3.10+0x431447) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#75 0x4e3054 in pyrun_file(_IO_FILE*, _object*, int, _object*, _object*, int, PyCompilerFlags*) (.__uniq.251861886623903963524397139660542440724) (/usr/local/fbcode/platform010/bin/python3.10+0x4e3054) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#76 0x4e2b54 in _PyRun_SimpleFileObject (/usr/local/fbcode/platform010/bin/python3.10+0x4e2b54) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#77 0x4e28f1 in _PyRun_AnyFileObject (/usr/local/fbcode/platform010/bin/python3.10+0x4e28f1) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#78 0x4d4a54 in Py_RunMain (/usr/local/fbcode/platform010/bin/python3.10+0x4d4a54) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#79 0x4d286b in pymain_main(_PyArgv*) (.__uniq.297908980262787110426434251325078884054) (/usr/local/fbcode/platform010/bin/python3.10+0x4d286b) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#80 0x4d2759 in Py_BytesMain (/usr/local/fbcode/platform010/bin/python3.10+0x4d2759) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) pytorch#81 0x7f19e282c656 in __libc_start_call_main (/usr/local/fbcode/platform010/lib/libc.so.6+0x2c656) (BuildId: 93cdceeb8322234c38e1f2c93ad0ff10c7632fa6) pytorch#82 0x7f19e282c717 in __libc_start_main@GLIBC_2.2.5 (/usr/local/fbcode/platform010/lib/libc.so.6+0x2c717) (BuildId: 93cdceeb8322234c38e1f2c93ad0ff10c7632fa6) pytorch#83 0x553d90 in _start (/usr/local/fbcode/platform010/bin/python3.10+0x553d90) (BuildId: a620038add613fd8585eb50983ca8e455d54738e) AddressSanitizer can not provide additional info. AddressSanitizer: SEGV (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x2ce38e2) (BuildId: bc3ab8ddc89a0e65) ==1523599==ABORTING ``` Differential Revision: D63736779

cmake updates for openvino

…a Neutron Node inside a TFLite model. Merge in AITEC/executorch from feature/EIEX-52-neutron-backend-extraction-of-neutron-artefacts-from-tflite-flatbuffer to main-nxp * commit '306a3cb3fde378778e82959623fd0c8318dadddc': Add support for extracting the payload from a Neutron Node inside a TFLite model.

Summary: index should always be smaller than weight.size(0). Adding this check in `op_embedding`. This is to avoid wild-addr-read error: ``` AddressSanitizer:DEADLYSIGNAL ================================================================= ==3544359==ERROR: AddressSanitizer: SEGV on unknown address 0x7fce2364bc00 (pc 0x000002d225a0 bp 0x7ffffc792a40 sp 0x7ffffc792990 T0) ==3544359==The signal is caused by a READ memory access. SCARINESS: 20 (wild-addr-read) #0 0x2d225a0 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 #1 0x2d22367 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #2 0x2d2223d in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #3 0x2d21d37 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #4 0x2d21bca in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #5 0x2d20f8f in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #6 0x2d20e13 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #7 0x2d20d06 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #8 0x2d226b7 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::KernelRuntimeContext&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:329 #9 0x2d09bef in torch::executor::function::(anonymous namespace)::$_7::operator()(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) const buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:322 #10 0x2d09a70 in torch::executor::function::(anonymous namespace)::$_7::__invoke(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:297 #11 0x27d769b in executorch::runtime::Method::execute_instruction() xplat/executorch/runtime/executor/method.cpp:1306 #12 0x27d8c55 in executorch::runtime::Method::execute() xplat/executorch/runtime/executor/method.cpp:1550 #13 0x27b1e25 in executorch::extension::Module::execute(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char>> const&, std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.cpp:261 #14 0x27afe43 in executorch::extension::Module::forward(std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.h:340 #15 0x27e0519 in executorch::extension::llm::LlmBackboneRunner::run(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llm_backbone_runner.cpp:58 #16 0x27a35c9 in executorch::extension::llm::Llama4Runner::prefill_tokens(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llama4_runner.cpp:133 #17 0x885774 in main (/data/users/larryliu/fbsource/buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/cria/benchmark/llama4/__generation_main__/generation_main+0x885774) #18 0x7fce2122c656 in __libc_start_call_main /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/nptl/libc_start_call_main.h:58:16 #19 0x7fce2122c717 in __libc_start_main@GLIBC_2.2.5 /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../csu/libc-start.c:409:3 #20 0x884c20 in _start /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/x86_64/start.S:116 AddressSanitizer can not provide additional info. AddressSanitizer: SEGV xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) ==3544359==ABORTING ``` Differential Revision: D75982682

Summary: index should always be smaller than weight.size(0). Adding this check in `op_embedding`. This is to avoid wild-addr-read error: ``` AddressSanitizer:DEADLYSIGNAL ================================================================= ==3544359==ERROR: AddressSanitizer: SEGV on unknown address 0x7fce2364bc00 (pc 0x000002d225a0 bp 0x7ffffc792a40 sp 0x7ffffc792990 T0) ==3544359==The signal is caused by a READ memory access. SCARINESS: 20 (wild-addr-read) #0 0x2d225a0 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 #1 0x2d22367 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #2 0x2d2223d in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #3 0x2d21d37 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #4 0x2d21bca in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const::'lambda'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #5 0x2d20f8f in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const::'lambda0'()::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #6 0x2d20e13 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&)::$_0::operator()() const xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #7 0x2d20d06 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:303 #8 0x2d226b7 in torch::executor::native::quantized_embedding_byte_dtype_out(executorch::runtime::KernelRuntimeContext&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, long, long, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::ScalarType>, executorch::runtime::etensor::Tensor&) xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:329 #9 0x2d09bef in torch::executor::function::(anonymous namespace)::$_7::operator()(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) const buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:322 #10 0x2d09a70 in torch::executor::function::(anonymous namespace)::$_7::__invoke(executorch::runtime::KernelRuntimeContext&, executorch::runtime::EValue**) buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/executorch/kernels/quantized/__generated_lib_combined__/out/RegisterCodegenUnboxedKernelsEverything.cpp:297 #11 0x27d769b in executorch::runtime::Method::execute_instruction() xplat/executorch/runtime/executor/method.cpp:1306 #12 0x27d8c55 in executorch::runtime::Method::execute() xplat/executorch/runtime/executor/method.cpp:1550 #13 0x27b1e25 in executorch::extension::Module::execute(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char>> const&, std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.cpp:261 #14 0x27afe43 in executorch::extension::Module::forward(std::vector<executorch::runtime::EValue, std::allocator<executorch::runtime::EValue>> const&) xplat/executorch/extension/module/module.h:340 #15 0x27e0519 in executorch::extension::llm::LlmBackboneRunner::run(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llm_backbone_runner.cpp:58 #16 0x27a35c9 in executorch::extension::llm::Llama4Runner::prefill_tokens(std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&, std::shared_ptr<executorch::runtime::etensor::Tensor> const&) xplat/executorch/examples/models/fb/llama4/runner/llama4_runner.cpp:133 #17 0x885774 in main (/data/users/larryliu/fbsource/buck-out/v2/gen/fbsource/ff19a7e6cb17a7b1/xplat/cria/benchmark/llama4/__generation_main__/generation_main+0x885774) #18 0x7fce2122c656 in __libc_start_call_main /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/nptl/libc_start_call_main.h:58:16 #19 0x7fce2122c717 in __libc_start_main@GLIBC_2.2.5 /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../csu/libc-start.c:409:3 #20 0x884c20 in _start /home/engshare/third-party2/glibc/2.34/src/glibc-2.34/csu/../sysdeps/x86_64/start.S:116 AddressSanitizer can not provide additional info. AddressSanitizer: SEGV xplat/executorch/kernels/quantized/cpu/op_embedding.cpp:175 in void torch::executor::native::(anonymous namespace)::embedding_byte_per_channel<signed char, c10::Half, float>(executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor const&, std::optional<executorch::runtime::etensor::Tensor> const&, executorch::runtime::etensor::Tensor const&, executorch::runtime::etensor::Tensor&) ==3544359==ABORTING ``` Test Plan: Imported from GitHub, without a `Test Plan:` line. Rollback Plan: Reviewed By: Gasoonjia Differential Revision: D75982682 Pulled By: larryliu0820

Improve error message

BNNS copy crashes the process when the dtypes differ (#11714). With the example in this PR (#11714), we crash the process on main. Here is the stack trace from LLDB: ``` Process 19234 stopped * thread #1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 libsystem_kernel.dylib`__pthread_kill: -> 0x190ac9388 <+8>: b.lo 0x190ac93a8 ; <+40> 0x190ac938c <+12>: pacibsp 0x190ac9390 <+16>: stp x29, x30, [sp, #-0x10]! 0x190ac9394 <+20>: mov x29, sp (lldb) bt * thread #1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT * frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 frame #1: 0x0000000190b0288c libsystem_pthread.dylib`pthread_kill + 296 frame #2: 0x0000000190a0bc60 libsystem_c.dylib`abort + 124 frame #3: 0x0000000190910174 libsystem_malloc.dylib`malloc_vreport + 892 frame #4: 0x0000000190913c90 libsystem_malloc.dylib`malloc_report + 64 frame #5: 0x000000019091821c libsystem_malloc.dylib`___BUG_IN_CLIENT_OF_LIBMALLOC_POINTER_BEING_FREED_WAS_NOT_ALLOCATED + 32 frame #6: 0x000000019d2f4084 libBNNS.dylib`___lldb_unnamed_symbol1620 + 564 frame #7: 0x000000019d2f5bac libBNNS.dylib`___lldb_unnamed_symbol1628 + 680 frame #8: 0x000000019d69ce48 libBNNS.dylib`BNNSCopy + 616 frame #9: 0x000000030c74d950 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy_using_bnns(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&) + 188 frame #10: 0x000000030c74cfdc _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) + 72 frame #11: 0x000000030c74ceec _portable_lib.cpython-310-darwin.so`executorchcoreml::MultiArray::copy(executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) const + 148 frame #12: 0x000000030c7488d4 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 376 frame #13: 0x000000030c748ac8 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 52 frame #14: 0x000000019ad33f4c CoreML`CoreML::MultiArrayBuffer::getBytesWithHandler(void (void const*, unsigned long) block_pointer) const + 340 frame #15: 0x000000019ad34138 CoreML`-[MLMultiArray(ScopedBufferAccess) getBytesWithHandler:] + 152 frame #16: 0x000000030c7485ec _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 296 frame #17: 0x000000030c744f68 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::set_outputs(std::__1::vector<executorchcoreml::MultiArray, std::__1::allocator<executorchcoreml::MultiArray>>&, NSArray<MLMultiArray*>*) + 180 ``` With this PR, the process succeeds.

Summary: At runtime this format specifier is not correctly handled. The misformatted string get's passed to strlen and eventually causes an assertion. ``` #0 strlen () at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/machine/xtensa/strlen.S:59 pytorch#1 0x610bd83d in _svfprintf_r (data=<optimized out>, fp=<optimized out>, fmt0=<optimized out>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vfprintf.c:1380 pytorch#2 0x610ffcf4 in _vsnprintf_r (ptr=<optimized out>, size=256, fmt=0x20 <error: Cannot access memory at address 0x20>, str=<optimized out>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vsnprintf.c:66 pytorch#3 vsnprintf (str=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", size=256, fmt=0x20 <error: Cannot access memory at address 0x20>, ap=...) at /home/xpgcust/tree/RJ-2024.3/tb/p4root/Xtensa/SWConfig/../Target-libs/newlib/newlib/libc/stdio/vsnprintf.c:41 pytorch#4 0x610d4ddd in executorch::runtime::internal::vlogf (level=<optimized out>, timestamp=<optimized out>, filename=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", function=0x60fd5fd7 "resolve_operator", line=735, format=0x60fd6023 "Missing operator: [%zd] %s", args=...) at xplat/executorch/runtime/platform/log.cpp:88 pytorch#5 0x610ce2db in executorch::runtime::internal::logf (level=executorch::runtime::LogLevel::Error, timestamp=3330441403, filename=0x14012c40 <irt_janus_workq_stack+4960> "Missing operator: [z", function=0x14012d3e <irt_janus_workq_stack+5214> "\026\262\273\200\202", <incomplete sequence \306>, line=735, format=0x60fd6023 "Missing operator: [%zd] %s") at /execution-workspace/buck-out/v2/gen/fbsource/e7835b44f7cec64a/xplat/executorch/runtime/platform/__platform__/buck-headers/executorch/runtime/platform/log.h:140 pytorch#6 0x610d8b60 in executorch::runtime::Method::resolve_operator (this=<optimized out>, op_index=1, kernels=<optimized out>, kernel_index=<optimized out>, args=..., n_args=7) at xplat/executorch/runtime/executor/method.cpp:731 pytorch#7 0x60ff2d70 in executorch::runtime::Method::init (this=0x14012fa0 <irt_janus_workq_stack+5824>, s_plan=<optimized out>, external_data_map=<optimized out>) at xplat/executorch/runtime/executor/method.cpp:926 pytorch#8 0x610d8c33 in executorch::runtime::Method::load (s_plan=0xb21690b4, program=<optimized out>, memory_manager=0xabd400f0, event_tracer=0xad540000, external_data_map=0x0) at xplat/executorch/runtime/executor/method.cpp:761 pytorch#9 0x610db216 in executorch::runtime::Program::load_method (this=0xabd4000c, method_name=<optimized out>, memory_manager=0xabd400f0, event_tracer=0xad540000, named_data_map=<optimized out>) at xplat/executorch/runtime/executor/program.cpp:299 pytorch#10 0x60ff1a80 in MethodContainer::init (this=<optimized out>, modelBuffer=..., weightBuffer=..., methodName=<optimized out>, plannedMemoryBuffers=..., methodAllocator=..., tempAllocator=..., etDumpBuffer=..., debugBufferDataSink=0x0) at arvr/firmware/silicon/ml/executorch/method_container/src/MethodContainer.cpp:104 pytorch#11 0x610cdef9 in InferenceRunnerExecutorch::initializeExecutorchObjects (this=<optimized out>) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunnerExecutorch.cpp:255 pytorch#12 0x610ce06a in InferenceRunnerExecutorch::evaluate (this=0x14013268 <irt_janus_workq_stack+6536>) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunnerExecutorch.cpp:297 pytorch#13 0x610cd186 in execute_model (inferenceRuntimeContext=0x24227680) at arvr/firmware/silicon/turing/tirt/inference/src/InferenceRunner.cpp:60 pytorch#14 0x610ccf0c in tirt_engine_invoke (inference_request=0x24220000) at arvr/firmware/silicon/turing/tirt/engine/src/Engine.cpp:125 pytorch#15 0x610cce25 in tirt::dispatch::tirt_command_process (request=0x24220000) at arvr/firmware/silicon/turing/tirt/command_dispatch/src/tirt_dispatcher.cpp:71 pytorch#16 0x610ccae7 in irt_janus_msg_handler (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, ctx=0x0, header=0x140137fd <irt_janus_workq_stack+7965>, payload=0x24220000, status=<optimized out>) at arvr/firmware/silicon/turing/tirt/src/IrtIccJanus.cpp:143 --Type <RET> for more, q to quit, c to continue without paging-- pytorch#17 0x610c80ec in _janus_service_handle_message (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, service_info=0x140137f8 <irt_janus_workq_stack+7960>) at arvr/firmware/wearables/libs/janus/session/consumer.c:1099 pytorch#18 janus_service (sess=0x60fc5f80 <FDLADSP0::coleman_fdladsp0_cp_tirt_fdladsp0_session_views_cp_iaas_fdlamcu_to_tirt_fdladsp0>, method=JANUS_SERVICE_ONE) at arvr/firmware/wearables/libs/janus/session/consumer.c:2236 pytorch#19 0x610c9d9a in _work_handler (w=0x14009e08 <s_janus_workq_sessions+8>) at arvr/firmware/wearables/libs/janus/modules/janus_workq/src/workq.c:62 pytorch#20 0x61100409 in triggered_work_handler (work=0x14009e08 <s_janus_workq_sessions+8>) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/kernel/poll.c:590 pytorch#21 0x610d139f in work_queue_main (workq_ptr=0x14000f98 <s_janus_workq+24>, p2=<optimized out>, p3=<optimized out>) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/kernel/work.c:688 pytorch#22 0x610c1172 in z_thread_entry (entry=0x610d1344 <work_queue_main>, p1=0x14000f98 <s_janus_workq+24>, p2=0x14001038 <s_janus_workq+184>, p3=0xfffffffd) at third-party/zephyr/zephyr_rtos/v3.7.0/zephyr/lib/os/thread_entry.c:48 ``` Reviewed By: lucylq, JacobSzwejbka Differential Revision: D79776266

BNNS copy crashes the process when the dtypes differ (pytorch#11714). With the example in this PR (pytorch#11714), we crash the process on main. Here is the stack trace from LLDB: ``` Process 19234 stopped * thread pytorch#1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 libsystem_kernel.dylib`__pthread_kill: -> 0x190ac9388 <+8>: b.lo 0x190ac93a8 ; <+40> 0x190ac938c <+12>: pacibsp 0x190ac9390 <+16>: stp x29, x30, [sp, #-0x10]! 0x190ac9394 <+20>: mov x29, sp (lldb) bt * thread pytorch#1, queue = 'com.apple.main-thread', stop reason = signal SIGABRT * frame #0: 0x0000000190ac9388 libsystem_kernel.dylib`__pthread_kill + 8 frame pytorch#1: 0x0000000190b0288c libsystem_pthread.dylib`pthread_kill + 296 frame pytorch#2: 0x0000000190a0bc60 libsystem_c.dylib`abort + 124 frame pytorch#3: 0x0000000190910174 libsystem_malloc.dylib`malloc_vreport + 892 frame pytorch#4: 0x0000000190913c90 libsystem_malloc.dylib`malloc_report + 64 frame pytorch#5: 0x000000019091821c libsystem_malloc.dylib`___BUG_IN_CLIENT_OF_LIBMALLOC_POINTER_BEING_FREED_WAS_NOT_ALLOCATED + 32 frame pytorch#6: 0x000000019d2f4084 libBNNS.dylib`___lldb_unnamed_symbol1620 + 564 frame pytorch#7: 0x000000019d2f5bac libBNNS.dylib`___lldb_unnamed_symbol1628 + 680 frame pytorch#8: 0x000000019d69ce48 libBNNS.dylib`BNNSCopy + 616 frame pytorch#9: 0x000000030c74d950 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy_using_bnns(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&) + 188 frame pytorch#10: 0x000000030c74cfdc _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(executorchcoreml::MultiArray const&, executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) + 72 frame pytorch#11: 0x000000030c74ceec _portable_lib.cpython-310-darwin.so`executorchcoreml::MultiArray::copy(executorchcoreml::MultiArray&, executorchcoreml::MultiArray::CopyOptions) const + 148 frame pytorch#12: 0x000000030c7488d4 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 376 frame pytorch#13: 0x000000030c748ac8 _portable_lib.cpython-310-darwin.so`invocation function for block in (anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 52 frame pytorch#14: 0x000000019ad33f4c CoreML`CoreML::MultiArrayBuffer::getBytesWithHandler(void (void const*, unsigned long) block_pointer) const + 340 frame pytorch#15: 0x000000019ad34138 CoreML`-[MLMultiArray(ScopedBufferAccess) getBytesWithHandler:] + 152 frame pytorch#16: 0x000000030c7485ec _portable_lib.cpython-310-darwin.so`(anonymous namespace)::copy(MLMultiArray*, executorchcoreml::MultiArray&) + 296 frame pytorch#17: 0x000000030c744f68 _portable_lib.cpython-310-darwin.so`(anonymous namespace)::set_outputs(std::__1::vector<executorchcoreml::MultiArray, std::__1::allocator<executorchcoreml::MultiArray>>&, NSArray<MLMultiArray*>*) + 180 ``` With this PR, the process succeeds.

* parent 5021c18 author Nikhil Viswanath Sivakumar <68182521+nil-is-all@users.noreply.github.com> 1741841357 -0500 committer Nikhil Viswanath Sivakumar <nikhilviswanath@meta.com> 1745433893 -0500 Migrate iOS Demo App parent 5021c18 author Nikhil Viswanath Sivakumar <68182521+nil-is-all@users.noreply.github.com> 1741841357 -0500 committer Nikhil Viswanath Sivakumar <nikhilviswanath@meta.com> 1745433648 -0500 Migrate iOS Demo App Migrate iOS app demo as README.md Reproduced https://github.com/pytorch/executorch/tree/main/examples/demo-apps/apple_ios/ExecuTorchDemo and added last line in docs to point to this GitHub repo Changed file path to executorch-examples/mv3/apple/MobileNetV3Demo/README.md Changed directory and made changes after local testing Final directory: executorch-examples/mv3/apple/ExecuTorchDemo Changes from [current demo](https://pytorch.org/executorch/main/demo-apps-ios.html#): 1) Check Swift Package Manager version under Prerequisites 2) Export Model - export.py for backends 3) Directory changes in Final Steps Files for iOS MV3 Demo App export script for MV3.pte and XNNPack, CoreML, MPS backends Update README.md Rename mv3/apple/ExecuTorchDemo/export.py to mv3/apple/ExecuTorchDemo/python/export.py Removed export.py code block from README.md Added code formatting for Clone the Demo App subsection added snapshot url Delete mv3/apple/ExecuTorchDemo/ExecuTorchDemo/Resources/Models/MobileNet directory atomically migrated apple/ExecuTorch to mv3/apple/ExecuTorchDemo Updated directory structure to have python in mv3 folder fixed typo in .gitignore Update project.pbxproj to pin to 0.6.0 (#11) MV2 cpp and python example (#13) Update README.md (#12) * Update README.md * Update README.md fix directory and resolve conflicts MV2 cpp and python example (#13) Update .gitignore (#17) * Delete xcuserdata * Delete *.xcworkspace --------- Co-authored-by: Mergen Nachin <mnachin@meta.com>

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larryliu0820 merged commit 53dfebe into mainJul 20, 2023

larryliu0820 deleted the fixup-T158879489-main branch July 20, 2023 05:11

adonnini mentioned this pull request Nov 29, 2023
Android app fails with ETensor rank is immutable error #1306
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BESTTOOLBOX mentioned this pull request Jul 12, 2024
Segmentation Fault when implementing llama/stories110M Android phone deployment #4237
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sam-wother mentioned this pull request Aug 2, 2024
SDK + Inspector output time format is inconsistent with delegates #4504
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justin-Kor mentioned this pull request Oct 31, 2024
The LLAVA model loaded successfully on the Samsung S24 Ultra. After loading, when an image is fed into the model, the app crashes. FYI I am using latest code with all the steps mentioned in Repository. #6189
Closed

daniil-lyakhov pushed a commit to daniil-lyakhov/executorch that referenced this pull request Feb 12, 2025
Merge pull requestpytorch#13from ynimmaga/cmake_updates
c979f52
cmake updates for openvino

billmguo mentioned this pull request Mar 12, 2025
Fix num_iters > 5 Shiftpointer issue #9150
Merged

Vinaysukhesh98 mentioned this pull request Mar 13, 2025
LlaVA Model Loads Sucessfully Failing inference app crashes after image i/p adding logs for Reference #9233
Closed

shoumikhin mentioned this pull request Jun 13, 2025
MPS delegate crashes on iOS 26 #11655
Open

larryliu0820 added a commit that referenced this pull request Jul 2, 2025
Merge pull request#13from pytorch-labs/error_msg
3f536fc
Improve error message

kirklandsign pushed a commit that referenced this pull request Jan 14, 2026
MV2 cpp and python example (#13)
54b0238