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Minimal example for using ET and AOTI (#763)
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* minimal example for enabling Andrej's runner, from commit 2d47702

* Minimal example
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mikekgfb authored and malfet committed Jul 17, 2024
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28 changes: 28 additions & 0 deletions parking_lot/unsupported/README.md
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# Enabling Models from Server to Mobile

THIS DIRECTORY AND ITS SUBDIRECTORIES CONTAIN AN UNSUPPORTED EXAMPLE.

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.

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.

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.

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.

11 changes: 11 additions & 0 deletions parking_lot/unsupported/runner-aoti/CMakeLists.txt
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cmake_minimum_required(VERSION 3.18 FATAL_ERROR)
project(llama2so LANGUAGES CXX)

find_package(CUDA)

find_package(Torch REQUIRED)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -g ${TORCH_CXX_FLAGS} -fpermissive")

add_executable(run run.cpp)
target_link_libraries(run "${TORCH_LIBRARIES}" m)
set_property(TARGET run PROPERTY CXX_STANDARD 17)
22 changes: 22 additions & 0 deletions parking_lot/unsupported/runner-aoti/LICENSE
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MIT License

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.
6 changes: 6 additions & 0 deletions parking_lot/unsupported/runner-aoti/run.cpp
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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 */

#define __AOTI__MODEL
#include "../runner/run.cpp"
32 changes: 32 additions & 0 deletions parking_lot/unsupported/runner-et/CMakeLists.txt
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cmake_minimum_required(VERSION 3.24)
set(CMAKE_CXX_STANDARD 17)

project(llama-fast)

include(CMakePrintHelpers)
set(LLAMA_FAST_ROOT $ENV{LLAMA_FAST_ROOT})
cmake_print_variables(LLAMA_FAST_ROOT)

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)

target_include_directories(executorch INTERFACE ${_common_include_directories}) # Ideally ET installation process would do this
add_executable(runner_et run.cpp)

# 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">)
22 changes: 22 additions & 0 deletions parking_lot/unsupported/runner-et/LICENSE
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MIT License

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.
6 changes: 6 additions & 0 deletions parking_lot/unsupported/runner-et/run.cpp
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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 */

#define __ET__MODEL
#include "../runner/run.cpp"
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