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5127805
[llava][18/N] Move token generation loop to a class
larryliu0820 Aug 9, 2024
fd0ae19
Update base for Update on "[llava][18/N] Move token generation loop t…
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2709f63
Update on "[llava][18/N] Move token generation loop to a class"
larryliu0820 Aug 12, 2024
cc54086
[llava][19/N] Add multimodal runner base class and build file
larryliu0820 Aug 12, 2024
1abb48f
[llava][20/N] Add llava runner using building blocks in e/llm/runner
larryliu0820 Aug 12, 2024
7e4e9a4
[llava][21/N] Add llava runner test binary and build script
larryliu0820 Aug 12, 2024
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707c63f
Update on "[llava][21/N] Add llava runner test binary and build script"
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Update on "[llava][21/N] Add llava runner test binary and build script"
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Update on "[llava][21/N] Add llava runner test binary and build script"
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98 changes: 98 additions & 0 deletions .ci/scripts/test_llava.sh
Original file line number Diff line number Diff line change
@@ -0,0 +1,98 @@
#!/bin/bash
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.

set -exu
# shellcheck source=/dev/null

if [[ -z "${PYTHON_EXECUTABLE:-}" ]]; then
PYTHON_EXECUTABLE=python3
fi

cmake_install_executorch_libraries() {
cmake \
-DCMAKE_INSTALL_PREFIX=cmake-out \
-DCMAKE_BUILD_TYPE=Debug \
-DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
-DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
-DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON \
-DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
-DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON \
-DEXECUTORCH_BUILD_XNNPACK=ON \
-DEXECUTORCH_DO_NOT_USE_CXX11_ABI=ON \
-Bcmake-out .


cmake --build cmake-out -j9 --target install --config Debug
}

cmake_build_llava_runner() {
dir=examples/models/llava
python_lib=$($PYTHON_EXECUTABLE -c 'from distutils.sysconfig import get_python_lib; print(get_python_lib())')

cmake \
-DCMAKE_INSTALL_PREFIX=cmake-out \
-DCMAKE_BUILD_TYPE=Debug \
-DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON \
-DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
-DEXECUTORCH_BUILD_XNNPACK=ON \
-DCMAKE_PREFIX_PATH="$python_lib" \
-Bcmake-out/${dir} \
${dir}


cmake --build cmake-out/${dir} -j9 --config Debug
}

# only export the one without custom op for now since it's
export_llava() {
echo "Starting to export Llava. This will take about 6 mins"
$PYTHON_EXECUTABLE -m executorch.examples.models.llava.export_llava --pte-name llava.pte --with-artifacts
}

run_and_verify() {
NOW=$(date +"%H:%M:%S")
echo "Starting to run llava runner at ${NOW}"
if [[ ! -f "llava.pte" ]]; then
echo "Export failed. Abort"
exit 1
fi
if [[ ! -f "image.pt" ]]; then
echo "image.pt is missing."
exit 1
fi
if [[ ! -f "tokenizer.bin" ]]; then
echo "tokenizer.bin is missing."
exit 1
fi
RUNTIME_ARGS="--model_path=llava.pte \
--tokenizer_path=tokenizer.bin \
--image_path=image.pt \
--prompt=ASSISTANT: \
--temperature=0 \
--seq_len=650"
cmake-out/examples/models/llava/llava_main ${RUNTIME_ARGS} > result.txt
# verify result.txt
RESULT=$(cat result.txt)
# set the expected prefix to be the same as prompt because there's a bug in sdpa_with_kv_cache that causes <unk> tokens.
EXPECTED_PREFIX="ASSISTANT:"
if [[ "${RESULT}" == *"${EXPECTED_PREFIX}"* ]]; then
echo "Expected result prefix: ${EXPECTED_PREFIX}"
echo "Actual result: ${RESULT}"
echo "Success"
exit 0
else
echo "Expected result prefix: ${EXPECTED_PREFIX}"
echo "Actual result: ${RESULT}"
echo "Failure; results not the same"
exit 1
fi
}

cmake_install_executorch_libraries
cmake_build_llava_runner
export_llava
run_and_verify
5 changes: 4 additions & 1 deletion .github/workflows/pull.yml
Original file line number Diff line number Diff line change
Expand Up @@ -187,7 +187,7 @@ jobs:
# Test selective build
PYTHON_EXECUTABLE=python bash examples/selective_build/test_selective_build.sh "${BUILD_TOOL}"

test-export-llava-linux:
test-llava-runner-linux:
name: test-export-llava-linux
uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
strategy:
Expand Down Expand Up @@ -215,6 +215,9 @@ jobs:
# run python unittest
python -m unittest examples.models.llava.test.test_llava

# run e2e (export, tokenizer and runner)
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llava.sh

test-quantized-aot-lib-linux:
name: test-quantized-aot-lib-linux
uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
Expand Down
6 changes: 6 additions & 0 deletions CMakeLists.txt
Original file line number Diff line number Diff line change
Expand Up @@ -130,6 +130,12 @@ if(EXECUTORCH_ENABLE_EVENT_TRACER)
add_definitions(-DET_EVENT_TRACER_ENABLED)
endif()

option(EXECUTORCH_DO_NOT_USE_CXX11_ABI "Define _GLIBCXX_USE_CXX11_ABI=0 if ON"
OFF
)
if(EXECUTORCH_DO_NOT_USE_CXX11_ABI)
add_definitions(-D_GLIBCXX_USE_CXX11_ABI=0)
endif()
# -ffunction-sections -fdata-sections: breaks function and data into sections so
# they can be properly gc'd. -s: strip symbol. -fno-exceptions -fno-rtti:
# disables exceptions and runtime type.
Expand Down
218 changes: 218 additions & 0 deletions examples/models/llava/CMakeLists.txt
Original file line number Diff line number Diff line change
@@ -0,0 +1,218 @@
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.

#
# Simple CMake build system for llava runner.
#
# ### Editing this file ###
#
# This file should be formatted with
# ~~~
# cmake-format -i CMakeLists.txt
# ~~~
# It should also be cmake-lint clean.
#
cmake_minimum_required(VERSION 3.19)
project(llava)

# Duplicating options as root CMakeLists.txt
option(EXECUTORCH_BUILD_KERNELS_OPTIMIZED "Build the optimized kernels" OFF)


include(CMakeDependentOption)
#
# pthreadpool: build pthreadpool library. Disable on unsupported platforms
#
cmake_dependent_option(
EXECUTORCH_BUILD_PTHREADPOOL "Build pthreadpool library." ON
"NOT EXECUTORCH_BUILD_ARM_BAREMETAL" OFF
)
#
# cpuinfo: build cpuinfo library. Disable on unsupported platforms
#
cmake_dependent_option(
EXECUTORCH_BUILD_CPUINFO "Build cpuinfo library." ON
"NOT EXECUTORCH_BUILD_ARM_BAREMETAL" OFF
)

if(NOT PYTHON_EXECUTABLE)
set(PYTHON_EXECUTABLE python3)
endif()

set(EXECUTORCH_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../../..)

include(${EXECUTORCH_ROOT}/build/Utils.cmake)

if(NOT PYTHON_EXECUTABLE)
resolve_python_executable()
endif()

if(NOT CMAKE_CXX_STANDARD)
set(CMAKE_CXX_STANDARD 17)
# Can't set to 11 due to executor_runner.cpp make_unique
endif()

if(CMAKE_TOOLCHAIN_FILE MATCHES ".*(iOS|ios\.toolchain)\.cmake$")
set(CMAKE_TOOLCHAIN_IOS ON)
else()
set(CMAKE_TOOLCHAIN_IOS OFF)
endif()

set(_common_compile_options -Wno-deprecated-declarations -fPIC)

# Let files say "include <executorch/path/to/header.h>".
set(_common_include_directories ${EXECUTORCH_ROOT}/..)

# For some reason android build is not able to find where gflags is and hence
# cannot find corresponding .cmake file
set(gflags_DIR ${CMAKE_CURRENT_BINARY_DIR}/../../../third-party/gflags)
find_package(gflags REQUIRED)

find_package(Torch CONFIG REQUIRED)
add_definitions(-D_GLIBCXX_USE_CXX11_ABI=0)

#
# llava_main: test binary to run llava, with tokenizer and sampler integrated
#

# find `executorch` libraries Same as for gflags
set(executorch_DIR ${CMAKE_CURRENT_BINARY_DIR}/../../../lib/cmake/ExecuTorch)
find_package(executorch CONFIG REQUIRED)
if(CMAKE_TOOLCHAIN_IOS OR ANDROID)
target_link_options_shared_lib(executorch)
endif()

# custom ops library
if(EXECUTORCH_BUILD_KERNELS_CUSTOM)
add_subdirectory(
${EXECUTORCH_ROOT}/extension/llm/custom_ops
${CMAKE_CURRENT_BINARY_DIR}/../../../extension/llm/custom_ops
)
endif()

# llava_runner library
add_subdirectory(runner)

set(link_libraries gflags torch)
set(_srcs main.cpp)

if(EXECUTORCH_BUILD_KERNELS_OPTIMIZED)
list(
APPEND
link_libraries
optimized_native_cpu_ops_lib
optimized_kernels
portable_kernels
cpublas
eigen_blas
)
target_link_options_shared_lib(optimized_native_cpu_ops_lib)
else()
list(APPEND link_libraries portable_ops_lib portable_kernels)
target_link_options_shared_lib(portable_ops_lib)
endif()

# quantized_ops_lib: Register quantized op kernels into the runtime
target_link_options_shared_lib(quantized_ops_lib)
list(APPEND link_libraries quantized_kernels quantized_ops_lib)

if(EXECUTORCH_BUILD_KERNELS_CUSTOM)
target_link_options_shared_lib(custom_ops)
list(APPEND link_libraries custom_ops)
endif()

set(XNNPACK_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/../../../backends/xnnpack)
# Extra compile option and include dir for pthreadpool
if(EXECUTORCH_BUILD_PTHREADPOOL)
list(APPEND _common_compile_options -DET_USE_THREADPOOL)
list(APPEND link_libraries pthreadpool)
# These 2 source files are included in xnnpack_backend
if(NOT TARGET xnnpack_backend)
list(APPEND _srcs ${XNNPACK_ROOT}/threadpool/threadpool.cpp
${XNNPACK_ROOT}/threadpool/threadpool_guard.cpp
)
endif()
list(APPEND _common_include_directories
${XNNPACK_ROOT}/third-party/pthreadpool/include
)
endif()

# Extra sources for cpuinfo
if(EXECUTORCH_BUILD_CPUINFO)
list(APPEND link_libraries cpuinfo)
list(APPEND _srcs ${XNNPACK_ROOT}/threadpool/cpuinfo_utils.cpp)
list(APPEND _common_include_directories
${XNNPACK_ROOT}/third-party/cpuinfo/include
)
endif()

# XNNPACK
if(TARGET xnnpack_backend)
set(xnnpack_backend_libs xnnpack_backend XNNPACK)
list(APPEND link_libraries ${xnnpack_backend_libs})
target_link_options_shared_lib(xnnpack_backend)
endif()

# Vulkan backend
if(TARGET vulkan_backend)
list(APPEND link_libraries vulkan_backend)
target_link_options_shared_lib(vulkan_backend)
endif()

# Qnn backend
if(TARGET qnn_executorch_backend)
list(APPEND link_libraries qnn_executorch_backend)
target_link_options_shared_lib(qnn_executorch_backend)
endif()

# MPS backend
if(TARGET mpsdelegate)
list(
APPEND
link_libraries
mpsdelegate
"-framework Foundation"
"-weak_framework MetalPerformanceShaders"
"-weak_framework MetalPerformanceShadersGraph"
"-weak_framework Metal"
)
target_link_options_shared_lib(mpsdelegate)
endif()

if(TARGET coremldelegate)
find_library(SQLITE_LIBRARY sqlite3)
list(
APPEND
link_libraries
coremldelegate
sqlite3
"-framework Foundation"
"-framework CoreML"
"-framework Accelerate"
)
target_link_options_shared_lib(coremldelegate)
endif()

# This one is needed for cpuinfo where it uses android specific log lib
if(ANDROID)
list(APPEND link_libraries log)
endif()

add_executable(llava_main ${_srcs})
if(CMAKE_BUILD_TYPE STREQUAL "Release")
target_link_options(llava_main PRIVATE "LINKER:--gc-sections,-s")
endif()

target_include_directories(llava_main PUBLIC ${_common_include_directories})
target_link_libraries(llava_main PUBLIC llava_runner ${link_libraries})
target_compile_options(llava_main PUBLIC ${_common_compile_options})

if(APPLE)
target_link_options_shared_lib(executorch)
endif()

# Print all summary
executorch_print_configuration_summary()
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