Re-sync with internal repository #2

facebook-github-bot · 2023-07-03T17:22:02Z

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.

…ty/pybind11" pytorch#2 Summary: Incrementally updating this over Differential Revision: D52018058

…ty/pybind11" #2 (#1433) Summary: Pull Request resolved: #1433 Incrementally updating this over Differential Revision: D52018058 fbshipit-source-id: fc460e8ca59c4e24828f5a199de011004755d29a

Before: Each node contains a `UniformParamsBuffer`. After: Each node contains a `std::vector<std::shared_ptr<UniformParamsBuffer>>`. In follow up changes, we will break up parameters to be passed via multiple UniformParamsBuffer, since 1. some are tensor-specific (e.g. image extents) and 2. others are operator-specific (e.g. alpha for binary ops). Hence, we need **`std::vector`**. We are adding the methods for #1 in #2340. Since #1 and #2 will be owned by different objects, we need **pointers**. Since #1 is owned by `vTensor` which is non-copyable, we can't use unique_ptr so we need **`std::shared_ptr`**. Differential Revision: [D54691831](https://our.internmc.facebook.com/intern/diff/D54691831/) [ghstack-poisoned]

Before: Each node contains a `UniformParamsBuffer`. After: Each node contains a `std::vector<std::shared_ptr<UniformParamsBuffer>>`. In follow up changes, we will break up parameters to be passed via multiple UniformParamsBuffer, since 1. some are tensor-specific (e.g. image extents) and 2. others are operator-specific (e.g. alpha for binary ops). Hence, we need **`std::vector`**. We are adding the methods for #1 in #2340. Since #1 and #2 will be owned by different objects, we need **pointers**. Since #1 is owned by `vTensor` which is non-copyable, we can't use unique_ptr so we need **`std::shared_ptr`**. Differential Revision: [D54691831](https://our.internmc.facebook.com/intern/diff/D54691831/) ghstack-source-id: 218195447 Pull Request resolved: #2348

Summary: bypass-github-export-checks Pull Request resolved: #2348 Before: Each node contains a `UniformParamsBuffer`. After: Each node contains a `std::vector<std::shared_ptr<UniformParamsBuffer>>`. In follow up changes, we will break up parameters to be passed via multiple UniformParamsBuffer, since 1. some are tensor-specific (e.g. image extents) and 2. others are operator-specific (e.g. alpha for binary ops). Hence, we need **`std::vector`**. We are adding the methods for #1 in #2340. Since #1 and #2 will be owned by different objects, we need **pointers**. Since #1 is owned by `vTensor` which is non-copyable, we can't use unique_ptr so we need **`std::shared_ptr`**. ghstack-source-id: 218195447 exported-using-ghexport Reviewed By: SS-JIA Differential Revision: D54691831 fbshipit-source-id: 84ab9f777e247fd56234290ed7f7343b9701c73f

In #2271, we already added - IntList - DoubleList - BoolList - ValueList to the schema and the runtime's Value class. Their serialization was incomplete missing two components: 1. Receiving a list in `torch.fx.Node.args`. 2. Receiving a non-tensor in `torch.fx.Node`. This change completes #2. Also, we introduce a specific handler for `getitem` nodes as it is required. Every `function_call` outputting non-tensor `torch.fx.Node` is followed by a special `getitem` `function_call`. Differential Revision: [D54789099](https://our.internmc.facebook.com/intern/diff/D54789099/) [ghstack-poisoned]

In #2271, we already added - IntList - DoubleList - BoolList - ValueList to the schema and the runtime's Value class. Their serialization was incomplete missing two components: 1. Receiving a list in `torch.fx.Node.args`. 2. Receiving a non-tensor in `torch.fx.Node`. This change completes #2. Also, we introduce a specific handler for `getitem` nodes as it is required. Every `function_call` outputting non-tensor `torch.fx.Node` is followed by a special `getitem` `function_call`. Differential Revision: [D54789099](https://our.internmc.facebook.com/intern/diff/D54789099/) ghstack-source-id: 218541429 Pull Request resolved: #2405

Summary: bypass-github-export-checks Pull Request resolved: #2405 In #2271, we already added - IntList - DoubleList - BoolList - ValueList to the schema and the runtime's Value class. Their serialization was incomplete missing two components: 1. Receiving a list in `torch.fx.Node.args`. 2. Receiving a non-tensor in `torch.fx.Node`. This change completes #2. Also, we introduce a specific handler for `getitem` nodes as it is required. Every `function_call` outputting non-tensor `torch.fx.Node` is followed by a special `getitem` `function_call`. ghstack-source-id: 218541429 exported-using-ghexport Reviewed By: SS-JIA Differential Revision: D54789099 fbshipit-source-id: 1e58cbc0246a8c651d95e9ef6707bacb60066e2b

* Add linter * Fix lint * Fix lint pytorch#2

* Fix lint * Fix lint * Fix lint pytorch#2 * Fix lint pytorch#3 * Fix lint pytorch#4 * Fix lint pytorch#5 * Fix lint pytorch#6 * Fix lint pytorch#7 * Fix lint pytorch#8 * Fix lint pytorch#9 * Fix lint pytorch#9 * Fix lint pytorch#9 * Fix lint pytorch#9 * Fix lint pytorch#9

* Fix mpsdelegate linking for pybind portable lib * Fix logging * Log expected output * Fix logging pytorch#2

Summary: Fix remaining warnings when building MPS delegate with older iOS SDKs cc shoumikhin, cccclai Pull Request resolved: #5365 Reviewed By: kirklandsign Differential Revision: D62668033 Pulled By: shoumikhin fbshipit-source-id: efcb8449b1f38259914c76337e12dc38487bf36b

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) pytorch#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

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) pytorch#2 0x7f15844d1161 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12d1161) (BuildId: bc3ab8ddc89a0e65) pytorch#3 0x7f15844dcac6 (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12dcac6) (BuildId: bc3ab8ddc89a0e65) pytorch#4 0x7f15844d245b (/home/chenlai/fbsource/third-party/qualcomm/qnn/qnn-2.26/lib/x86_64-linux-clang/libQnnHtp.so+0x12d245b) (BuildId: bc3ab8ddc89a0e65) pytorch#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

) Summary: Pull Request resolved: pytorch#11011 Reviewed By: zonglinpeng Differential Revision: D75034439

Differential Revision: D75034439

) Summary: Pull Request resolved: pytorch#11011 Reviewed By: zonglinpeng Differential Revision: D75034439

Differential Revision: D75034439 Pull Request resolved: #11011

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

Reviewed By: hsharma35 Differential Revision: D75982351

Summary: Pull Request resolved: pytorch#11456 Reviewed By: hsharma35 Differential Revision: D75982351

Differential Revision: D75982351 Pull Request resolved: #11456

Enable trunk CI job

Test Plan: Reviewers: Subscribers: Tasks: Tags:

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.

- pytorch#14048 > add quantized test case with GLU decomposition - pytorch#14049 > add e2e example where constant expansion is applied - pytorch#14050 > add e2e example and source transform for 6D operation - pytorch#14051 > add e2e example and complement missed annotation - pytorch#14052 > add e2e example and dedicated passe for 6D partition

### Summary - #14048 > add quantized test case with GLU decomposition - #14049 > add e2e example where constant expansion is applied - #14050 > add e2e example and source transform for 6D operation - #14051 > add e2e example and complement missed annotation - #14052 > add e2e example and dedicated passe for 6D partition Fixes #14048 Fixes #14049 Fixes #14050 Fixes #14051 Fixes #14052 ### Test plan MATRIX = {convnext_small, maxvit_t, swin_v2_t, vit_b_16} ```bash python backends/qualcomm/tests/test_qnn_delegate.py TestExampleOssScript.test_${MATRIX} -b build-android/ -m SM8750 -s $SN -a /path/to/test_artifacts/ -i /path/to/imagenet_1k/imagenet-mini/val -r . ``` ```bash python backends/qualcomm/tests/test_qnn_delegate.py TestQuantizedModel.test_qnn_backend_conformer -b build-android/ -m SM8750 -s $SN -a /path/to/test_artifacts/ ```

### Summary - pytorch#14048 > add quantized test case with GLU decomposition - pytorch#14049 > add e2e example where constant expansion is applied - pytorch#14050 > add e2e example and source transform for 6D operation - pytorch#14051 > add e2e example and complement missed annotation - pytorch#14052 > add e2e example and dedicated passe for 6D partition Fixes pytorch#14048 Fixes pytorch#14049 Fixes pytorch#14050 Fixes pytorch#14051 Fixes pytorch#14052 ### Test plan MATRIX = {convnext_small, maxvit_t, swin_v2_t, vit_b_16} ```bash python backends/qualcomm/tests/test_qnn_delegate.py TestExampleOssScript.test_${MATRIX} -b build-android/ -m SM8750 -s $SN -a /path/to/test_artifacts/ -i /path/to/imagenet_1k/imagenet-mini/val -r . ``` ```bash python backends/qualcomm/tests/test_qnn_delegate.py TestQuantizedModel.test_qnn_backend_conformer -b build-android/ -m SM8750 -s $SN -a /path/to/test_artifacts/ ```

### Summary - #14048 > add quantized test case with GLU decomposition - #14049 > add e2e example where constant expansion is applied - #14050 > add e2e example and source transform for 6D operation - #14051 > add e2e example and complement missed annotation - #14052 > add e2e example and dedicated passe for 6D partition Fixes #14048 Fixes #14049 Fixes #14050 Fixes #14051 Fixes #14052 ### Test plan MATRIX = {convnext_small, maxvit_t, swin_v2_t, vit_b_16} ```bash python backends/qualcomm/tests/test_qnn_delegate.py TestExampleOssScript.test_${MATRIX} -b build-android/ -m SM8750 -s $SN -a /path/to/test_artifacts/ -i /path/to/imagenet_1k/imagenet-mini/val -r . ``` ```bash python backends/qualcomm/tests/test_qnn_delegate.py TestQuantizedModel.test_qnn_backend_conformer -b build-android/ -m SM8750 -s $SN -a /path/to/test_artifacts/ ``` (cherry picked from commit 2b54a19)

### Summary - #14048 > add quantized test case with GLU decomposition - #14049 > add e2e example where constant expansion is applied - #14050 > add e2e example and source transform for 6D operation - #14051 > add e2e example and complement missed annotation - #14052 > add e2e example and dedicated passe for 6D partition Fixes #14048 Fixes #14049 Fixes #14050 Fixes #14051 Fixes #14052 ### Test plan MATRIX = {convnext_small, maxvit_t, swin_v2_t, vit_b_16} ```bash python backends/qualcomm/tests/test_qnn_delegate.py TestExampleOssScript.test_${MATRIX} -b build-android/ -m SM8750 -s $SN -a /path/to/test_artifacts/ -i /path/to/imagenet_1k/imagenet-mini/val -r . ``` ```bash python backends/qualcomm/tests/test_qnn_delegate.py TestQuantizedModel.test_qnn_backend_conformer -b build-android/ -m SM8750 -s $SN -a /path/to/test_artifacts/ ``` Co-authored-by: haowhsu-quic <[email protected]>

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mergennachin merged commit 5c2e66d into main Jul 3, 2023

mergennachin deleted the fixup-T157092709-main branch July 3, 2023 17:24

tatwaichong mentioned this pull request Oct 6, 2023

Add initial lowering of aten.convolution to tosa.conv2d support #615

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adonnini mentioned this pull request Nov 29, 2023

Android app fails with ETensor rank is immutable error #1306

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8Keep added a commit to 8Keep/executorch that referenced this pull request Dec 18, 2023

Split of "Mass update arvr/third-party/pybind11 to point to third-par…

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…ty/pybind11" pytorch#2 Summary: Incrementally updating this over Differential Revision: D52018058

junpi3 mentioned this pull request Mar 11, 2024

[ET-VK] Support multiple UniformParamsBuffer #2348

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[ET-VK] Serialize tuple types from Node #2405

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Segmentation Fault when implementing llama/stories110M Android phone deployment #4237

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skotapati pushed a commit to skotapati/executorch that referenced this pull request Jul 24, 2024

Add lint.yml mps script (pytorch#3)

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* Add linter * Fix lint * Fix lint pytorch#2

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Fix mpsdelegate linking for pybind portable lib (pytorch#7)

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* Fix mpsdelegate linking for pybind portable lib * Fix logging * Log expected output * Fix logging pytorch#2

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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

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error java.lang.ClassNotFoundException: Didn't find class "org.pytorch.executorch.NativePeer" #8636

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[Android] Error running a transformer decoder-based neural network #8665

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Use GraphBuilder in unit tests for ops removal pytorch#2. (pytorch#11011

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eigen-k added a commit to eigen-k/executorch that referenced this pull request May 22, 2025

Use GraphBuilder in unit tests for ops removal pytorch#2. (pytorch#11011

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Use GraphBuilder in unit tests for ops removal pytorch#2.

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eigen-k added a commit to eigen-k/executorch that referenced this pull request May 22, 2025

Use GraphBuilder in unit tests for ops removal pytorch#2. (pytorch#11011

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eigen-k added a commit to eigen-k/executorch that referenced this pull request May 23, 2025

Use GraphBuilder in unit tests for ops removal pytorch#2. (pytorch#11011

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) Summary: Pull Request resolved: pytorch#11011 Reviewed By: zonglinpeng Differential Revision: D75034439

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Use GraphBuilder in unit tests for ops removal #2.

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Differential Revision: D75034439 Pull Request resolved: #11011

eigen-k added a commit to eigen-k/executorch that referenced this pull request Jun 6, 2025

Use GraphBuilder in test_replace_ops_passes. pytorch#2

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eigen-k added a commit to eigen-k/executorch that referenced this pull request Jun 6, 2025

Use GraphBuilder in test_replace_ops_passes. pytorch#2 (pytorch#11456)

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eigen-k added a commit to eigen-k/executorch that referenced this pull request Jun 6, 2025

Use GraphBuilder in test_replace_ops_passes. pytorch#2 (pytorch#11456)

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Summary: Pull Request resolved: pytorch#11456 Reviewed By: hsharma35 Differential Revision: D75982351

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Use GraphBuilder in test_replace_ops_passes. #2

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Differential Revision: D75982351 Pull Request resolved: #11456

shoumikhin mentioned this pull request Jun 13, 2025

MPS delegate crashes on iOS 26 #11655

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TryCAEarvr mentioned this pull request Jun 17, 2025

Gradle Error while opening the project #11749

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JakeStevens mentioned this pull request Jun 30, 2025

Split neutron backend test based on executor dependency #11934

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Merge pull request #2 from pytorch-labs/update_trunk

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Summary: Initial CMSIS-NN custom kernels port (Take pytorch#2)

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Summary: Initial CMSIS-NN custom kernels port (Take pytorch#2)

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How to run a executorch model directly from memory instead of saving it as a disk file #12749

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Summary: Initial CMSIS-NN custom kernels port (Take pytorch#2)

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Summary: Initial CMSIS-NN custom kernels port (Take pytorch#2)

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Summary: Initial CMSIS-NN custom kernels port (Take pytorch#2)

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