Pin PyTorch nightly in Executorch Linux CI (20230731) by huydhn · Pull Request #31 · pytorch/executorch

huydhn · 2023-07-31T17:48:50Z

Per our discussion today, let's pin PyTorch nightly for now till we have CI in place to safely update this. The nightly version could be updated manually

Summary: Unfortunately we can't serialize the debug handle for placeholder/output nodes for now because they aren't stored as nodes... Reviewed By: zhxchen17 Differential Revision: D47311042 fbshipit-source-id: 296e3cb213160319cb37cbf6285f216b36f16c07

Summary: forgot to update this earlier in the stack. Just renaming and aligning with coding style guide Reviewed By: mergennachin Differential Revision: D47298828 fbshipit-source-id: e03b8108e280c9f35e91d97a4245fdce5aac9395

Summary: For each exported program, etrecord will serialize 2 files: `forward` which contains the exported program, and `forward_state_dict` which will contain the state dict for the exported program. Reviewed By: tarun292 Differential Revision: D47311043 fbshipit-source-id: 5da427ef819183262cebdf8572b05e50f7e2d59b

Summary: In the case where we encounter the second argument before the first argument such as this: ``` def forward(self, x, y): return torch.cat((y, x)) ``` The external IDs are in order of x:0, y:1 but the internal ids are x:1, y:0 since we encounter y first. Generally, in the case where we serialize external_id != internal_id, then the order for which we add the ids into our executor class will be unsorted. This causes issues as when we prepare the inputs for execution, we wire them to the wrong inputs for the xnnpack graph. Reviewed By: digantdesai Differential Revision: D47280248 fbshipit-source-id: a0657bfe3b4fb8c0aeca09edd2fcf4ffd08ff04f

Summary: X-link: pytorch/pytorch#104304 ghstack-source-id: 194202799 Reviewed By: digantdesai Differential Revision: D47075935 fbshipit-source-id: 5773e0552ba96c151444d5f4bf4ed6ed922f4c5d

Summary: X-link: pytorch/pytorch#104305 ghstack-source-id: 194202803 Reviewed By: digantdesai Differential Revision: D47075934 fbshipit-source-id: 9fe3339b9e1d56089baa83e7addde01f99137b6a

Summary: X-link: pytorch/pytorch#104306 ghstack-source-id: 194202811 Reviewed By: digantdesai Differential Revision: D47075932 fbshipit-source-id: b7ff62c710265a5a63992c8380d537639473f0ef

Summary: X-link: pytorch/pytorch#104307 ghstack-source-id: 194202820 Reviewed By: digantdesai Differential Revision: D47075933 fbshipit-source-id: d9361863afb25ee1d35a3d2e2566904002db11b5

Summary: ## Problem If we lower a graph module to delegate and then compose it with some other graph module, retrace it, if we also turn on edge ops and validator (`_use_edge_ops=True`, `_check_ir_validity=False`), validator will error out because it doesn't know how to handle lowered module. ## Solution Fix this by ignoring all HigherOrderOps: catch the exception and pass. Reviewed By: JacobSzwejbka Differential Revision: D46608636 fbshipit-source-id: 91fc7a887702f40c25a4595717210e8e32c3700a

Summary: https://docs.google.com/spreadsheets/d/17mEkBHN0XwXN21pG2IxpANX-jd4hNMrX4x9FthYB5Ok/edit#gid=0 Move these into core, I want to kill off lean in favor of portable (either is fine but we need to pick one and Ive arbitrarily picked portable). Also later in the diff stack this will be more formally separated from the ATen compatibility layer Reviewed By: mergennachin, dbort Differential Revision: D47304102 fbshipit-source-id: d702ae0fac4e88754adb5f2ba8703124ed7e2106

Summary: The diff D47310150 break the CI job https://www.internalfb.com/intern/sandcastle/job/31525198383297625 because of the improper BUILD flags. Set the frtti and other options for ET dependencies for fix. Reviewed By: KjellSchubert Differential Revision: D47380986 fbshipit-source-id: a02df926f11f84ae96bd31d49b684ed79a625196

Summary: There are certain graphs where the alloc node might take in a list of specs as input args. This is a fix to handle that. Reviewed By: angelayi Differential Revision: D47388334 fbshipit-source-id: c590d0b8db0604ac37299d67b38dc94fd8eef66e

Summary: Storage offsets are only useful for views, but today we don't use views in lowered models. Remove the concept of storage offsets for now to simplify the runtime API. We can add this back in the future if we need to. Reviewed By: JacobSzwejbka Differential Revision: D47346061 fbshipit-source-id: a018d2ee8ebd0ed4aefd1e68818010689c731fd9

Reviewed By: dbort Differential Revision: D47391219 fbshipit-source-id: 1051bf4c07503888d8186af18a905e0631874bc7

Summary: For running the AOT side of executorch w/o needing to build the pybindings, we can load the executorch.pytree.pybinding functions as the torch.utils._pytree functions. Reviewed By: larryliu0820 Differential Revision: D47136847 fbshipit-source-id: 0da9ce09636f91ed3368c83f1867f6c70544d736

Summary: Cleaned up op filenames, and respective targets and test filenames, to match ATen op names Reviewed By: SS-JIA Differential Revision: D47347093 fbshipit-source-id: 10e2c19b0fc4257068214371a65bf652c84f22de

Summary: The implementations of arange.out and arange.start_out should live in the same .cpp file (op_arange.cpp). Also, the their tests should live in the same .cpp test file (op_arange_test.cpp). Reviewed By: SS-JIA Differential Revision: D47347092 fbshipit-source-id: bc7aaf82310d359df4e7472abfc5fda2b4647756

Reviewed By: SS-JIA Differential Revision: D47347091 fbshipit-source-id: 6990e5441af98dedd07884e175d825b60b7022e9

Differential Revision: D47423118 fbshipit-source-id: 79088266b904e67a8db8ae359bb261a1ab78c306

Summary: C++ bindings make it a lot harder to create a pip-installable version of exir, since it would need to include prebuilt versions of the code for every architecture (or include a build system to build the bindings and flatbuffer library during install). Instead, use the `flatc` commandline tool, which is a thin wrapper around the API we were already using. - For internal builds, we embed `flatc` into the python package as a resource, keeping it self-contained. OSS builds could also choose to do this if they wanted to. - If the binary is not present as a resource (like in the current OSS build), fall back to looking for `flatc` on the PATH. Upsides: - Lets OSS users figure out the best way to build and provide the `flatc` tool. - Still gives us a way to provide a specific `flatc` implementation if desired, both internally and in OSS. - Since `flatbuffers` is no longer linked into the binary, we won't run into flatbuffer versioning conflicts in bento etc. Downsides: - The `flatc` on the PATH may not be the version we use internally. As long as it understands our schema, it should work since the flatbuffers contract should ensure that things stay wire-compatible. But this might be something to watch. - This now spawns a new process to generate the flatbuffer data instead of running in the python process. But given the typical size of production models, the process spawn/death overhead should be minimal relative to the rest of the export process: `time flatc` on my M1 macbook shows ~11ms wall time. Reviewed By: mergennachin, tarun292 Differential Revision: D47074772 fbshipit-source-id: 4e0a4f19a7e78f2b9e1778b8f3dffe890119c278

Summary: https://docs.google.com/document/d/1qgQTmdZe7cUQEDkO0SCdLxGRrbPHc0qzgkXL-ClHxaU/edit Reviewed By: mergennachin Differential Revision: D47095652 fbshipit-source-id: 50d8278a5a786dbe76a301d78c85266caa9c3d73

Co-authored-by: Facebook Community Bot <6422482+facebook-github-bot@users.noreply.github.com>

Summary: This is part of an effort to enable Executorch OSS BUCK build. The decision on BUCK build file is to share existing targets.bzl (along with TARGETS) with OSS build. Therefore we want to reduce the cases where targets.bzl still need to load fbsource/fbcode only .bzl files. This diff cleans up unnecessary usage of `export_files.bzl` in `schema/targets.bzl`. Reviewed By: cccclai Differential Revision: D47441538 fbshipit-source-id: 48ad42115c6ad3dfb65dbd84c53340ba7fc1f47d

Summary: https://docs.google.com/spreadsheets/d/17mEkBHN0XwXN21pG2IxpANX-jd4hNMrX4x9FthYB5Ok/edit#gid=0 moving generic allocators into core, the MemManager though is executor specific and will be moved into runtime/executor later Reviewed By: mergennachin Differential Revision: D47339968 Privacy Context Container: L1124100 fbshipit-source-id: 533d7bc3ff1e5ff9612e6009b233b238415104b2

Summary: This is part of an effort to enable Executorch OSS BUCK build. .buckconfig is required for OSS BUCK build and we are adding .buckconfig.oss. In shipit config we need to map it to .buckconfig and put it under root (executorch/). Reviewed By: dbort Differential Revision: D47444557 fbshipit-source-id: cf9764e2c31340edf30d5748baeb780d5d5c4cfd

Summary: https://docs.google.com/spreadsheets/d/17mEkBHN0XwXN21pG2IxpANX-jd4hNMrX4x9FthYB5Ok/edit#gid=0 delete values subdirectory as all it contained was tag and evalue and just place them in core. Reviewed By: mergennachin Differential Revision: D47347576 fbshipit-source-id: 37d591d69654b2bc370c7c6b6f0d61b1a9bb9be4

Summary: Seeing errors like: ``` ************************************************************ Can not find operator aten::sym_numel in the opdb using key sym_numel Can not find operator executorch_prim::floordiv in the opdb using key floordiv ********************************* ``` The issue is introduced by CompilationStage, where we should compile to ATen stage, and do the edge ops processing on top of ATen dialect. This diff fixes that. Reviewed By: tugsbayasgalan Differential Revision: D47451822 fbshipit-source-id: 6b36ea9e7c7ddfa4bc7016a4bb84240d26d3b992

Summary: It can be the case that OperatorGraph has elements which are OperatorGraphWithStats that we now need to iterate on to generate stats for. This was missing before and operator stats were missing in the text section of TB visualization. Reviewed By: Jack-Khuu Differential Revision: D47450813 fbshipit-source-id: bcde948265b13bb280447b2dab6143e4c18100b1

Summary: Bento_deps shouldn't be exposed to OSS, this diff moves the lib definition to exir/fb Call sites: https://fburl.com/code/98ck51i2 Reviewed By: JacobSzwejbka Differential Revision: D47451567 fbshipit-source-id: 274ed36c5cd78db3d50f6d31326d20235738f0c0

Co-authored-by: Facebook Community Bot <6422482+facebook-github-bot@users.noreply.github.com>

Summary: Two changes: - Delegate module example: rename get_random_inputs to get_example_inputs to be consistent with other model examples - Fix model.py Reviewed By: mergennachin Differential Revision: D47918752 fbshipit-source-id: a73e02d29bf44e2d36f767c92dae384ddaaadf4e

facebook-github-bot · 2023-07-31T17:53:28Z

@huydhn has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

facebook-github-bot · 2023-07-31T18:33:32Z

@huydhn has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

Summary: Per our discussion today, let's pin PyTorch nightly for now till we have CI in place to safely update this. The nightly version could be updated manually Pull Request resolved: #31 Reviewed By: dbort Differential Revision: D47923775 Pulled By: huydhn fbshipit-source-id: c2bd6e4e0db620369b4f1e7cc6ff3c867e55923c

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

Additional Updates on Export and Infer Scripts

…zer and neutronpartitioner Merge in AITEC/executorch from feature/EIEX-77-integration-of-neutronquantizer-and-neutronpartitioner to main-nxp * commit '5ca47eb04909f35cdaff720f0df5ba3370c5ca77': Redesign NeutronPartitioner and QDQ Clustering

huydhn · 2023-07-31T17:48:50Z