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Minimal example for using ET and AOTI (#763)
* minimal example for enabling Andrej's runner, from commit 2d47702 * Minimal example
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# Enabling Models from Server to Mobile | ||
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THIS DIRECTORY AND ITS SUBDIRECTORIES CONTAIN AN UNSUPPORTED EXAMPLE. | ||
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This directory is a minimal example for integrating PyTorch models | ||
exported with either AOT Inductor as a shared library, also known as | ||
dynamic shared object (DSO), and as ExecuTorch-exported PTE model file | ||
in a C/C++ app. | ||
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The example is derived from Andrej Karpathy's llama2.c executor, as | ||
modified by Bert Maher for llama2.so, and distributed under Andrej's | ||
original license. | ||
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Please refer to the documentation at | ||
https://github.com/karpathy/llama2.c (and Bert Maher's | ||
https://github.com/bertmaher/llama2.so for modifications to serve as | ||
execution environment for PyTorch models) for a discussion of | ||
downloading and and preparing tokenizer models and invoking the model. | ||
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This runner is limited to llama2-style models using the SentencePiece | ||
tokenizer to highlight the minimum example of how to enable an | ||
arbitrary application to call a PyTorch model in either a DSO or PTE | ||
format. In additioon to header files, these changes include | ||
maintaining a pointer to the AOT Inductor or ExecTorch runtime | ||
executor, and the `forward()` function in runner/run.cpp as well as | ||
CMake files in runner-aoti and runner-et to build the runner with | ||
Executorch and AOT Inductor runtimes, specifically. | ||
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cmake_minimum_required(VERSION 3.18 FATAL_ERROR) | ||
project(llama2so LANGUAGES CXX) | ||
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find_package(CUDA) | ||
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find_package(Torch REQUIRED) | ||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -g ${TORCH_CXX_FLAGS} -fpermissive") | ||
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add_executable(run run.cpp) | ||
target_link_libraries(run "${TORCH_LIBRARIES}" m) | ||
set_property(TARGET run PROPERTY CXX_STANDARD 17) |
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MIT License | ||
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Copyright (c) 2023 Andrej Karpathy | ||
Copyright (c) 2024 Meta Platforms | ||
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Permission is hereby granted, free of charge, to any person obtaining a copy | ||
of this software and associated documentation files (the "Software"), to deal | ||
in the Software without restriction, including without limitation the rights | ||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | ||
copies of the Software, and to permit persons to whom the Software is | ||
furnished to do so, subject to the following conditions: | ||
|
||
The above copyright notice and this permission notice shall be included in all | ||
copies or substantial portions of the Software. | ||
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||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | ||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | ||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | ||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | ||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | ||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | ||
SOFTWARE. |
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/* Inference for Llama-2 Transformer model in pure C */ | ||
/* this uses the same logic regardless of AOTI OR ET */ | ||
/* but requires different data types - ATen vs ETen */ | ||
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#define __AOTI__MODEL | ||
#include "../runner/run.cpp" |
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cmake_minimum_required(VERSION 3.24) | ||
set(CMAKE_CXX_STANDARD 17) | ||
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project(llama-fast) | ||
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include(CMakePrintHelpers) | ||
set(LLAMA_FAST_ROOT $ENV{LLAMA_FAST_ROOT}) | ||
cmake_print_variables(LLAMA_FAST_ROOT) | ||
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find_package(executorch CONFIG REQUIRED PATHS ${LLAMA_FAST_ROOT}/build/install/lib/cmake/ExecuTorch) | ||
set(_common_include_directories ${LLAMA_FAST_ROOT}/build/src) | ||
cmake_print_variables(_common_include_directories) | ||
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target_include_directories(executorch INTERFACE ${_common_include_directories}) # Ideally ET installation process would do this | ||
add_executable(runner_et run.cpp) | ||
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# Link ET runtime + extensions | ||
target_link_libraries( | ||
runner_et PRIVATE | ||
executorch | ||
extension_module | ||
${LLAMA_FAST_ROOT}/build/src/executorch/cmake-out/extension/data_loader/libextension_data_loader.a # This one does not get installed by ET | ||
optimized_kernels | ||
portable_kernels | ||
cpublas | ||
eigen_blas | ||
) | ||
target_link_libraries(runner_et PRIVATE "$<LINK_LIBRARY:WHOLE_ARCHIVE,optimized_native_cpu_ops_lib">) | ||
target_link_libraries(runner_et PRIVATE "$<LINK_LIBRARY:WHOLE_ARCHIVE,xnnpack_backend">) | ||
target_link_libraries(runner_et PRIVATE "$<LINK_LIBRARY:WHOLE_ARCHIVE,XNNPACK">) | ||
target_link_libraries(runner_et PRIVATE "$<LINK_LIBRARY:WHOLE_ARCHIVE,pthreadpool">) | ||
target_link_libraries(runner_et PRIVATE "$<LINK_LIBRARY:WHOLE_ARCHIVE,cpuinfo">) |
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MIT License | ||
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Copyright (c) 2023 Andrej Karpathy | ||
Copyright (c) 2024 Meta Platforms | ||
|
||
Permission is hereby granted, free of charge, to any person obtaining a copy | ||
of this software and associated documentation files (the "Software"), to deal | ||
in the Software without restriction, including without limitation the rights | ||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | ||
copies of the Software, and to permit persons to whom the Software is | ||
furnished to do so, subject to the following conditions: | ||
|
||
The above copyright notice and this permission notice shall be included in all | ||
copies or substantial portions of the Software. | ||
|
||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | ||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | ||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | ||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | ||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | ||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | ||
SOFTWARE. |
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/* Inference for Llama-2 Transformer model in pure C */ | ||
/* this uses the same logic regardless of AOTI OR ET */ | ||
/* but requires different data types - ATen vs ETen */ | ||
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#define __ET__MODEL | ||
#include "../runner/run.cpp" |
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