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add runner-et.cpp CI #48

add runner-et.cpp CI

add runner-et.cpp CI #48

Workflow file for this run

name: Compile main
on:
push:
branches:
- main
pull_request:
workflow_dispatch:
jobs:
run-tinystories:
strategy:
matrix:
runner: [32-core-ubuntu]
runs-on: ${{matrix.runner}}
steps:
- name: Checkout repo
uses: actions/checkout@v2
- name: Setup Python
uses: actions/setup-python@v2
with:
python-version: 3.11
- name: Print machine info
run: |
uname -a
if [ $(uname -s) == Darwin ]; then
sysctl machdep.cpu.brand_string
sysctl machdep.cpu.core_count
fi
- name: Install requirements
run: |
echo "Intalling pip packages"
pip install wheel
pip install cmake
pip install ninja
pip install zstd
pip install -r requirements.txt
echo "Install executorch: cloning"
mkdir build
cd build
git clone https://github.com/pytorch/executorch.git
cd executorch
echo "Install executorch: submodule update"
git submodule sync
git submodule update --init
echo "Applying fixes"
cp ../../scripts/fixes_et/module.h ${PWD}/extension/module/module.h
cp ../../scripts/fixes_et/module.cpp ${PWD}/extension/module/module.cpp
echo "Install executorch: running pip install"
./install_requirements.sh --pybind xnnpack
echo "Install executorch: building C++ libraries"
mkdir cmake-out
cmake -DCMAKE_BUILD_TYPE=Release -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON -DEXECUTORCH_BUILD_XNNPACK=ON -S . -B cmake-out -G Ninja
cmake --build cmake-out
export ET_DIR="${PWD}/build/executorch"
echo "executorch directory: ${ET_DIR}"
cd ../..
echo "current directory: ${PWD}"
echo "Building runner-et"
mkdir -p runner-et/cmake-out
cmake -DET_DIR:STRING=$ET_DIR -DCMAKE_BUILD_TYPE=Release -S runner-et -B runner-et/cmake-out
cmake --build runner-et/cmake-out
- name: Download checkpoints
run: |
mkdir -p checkpoints/stories15M
pushd checkpoints/stories15M
wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt
wget https://github.com/karpathy/llama2.c/raw/master/tokenizer.model
wget https://github.com/karpathy/llama2.c/raw/master/tokenizer.bin
popd
- name: Run inference
run: |
export CHECKPOINT_PATH=${PWD}/checkpoints/stories15M
export MODEL_NAME=stories15M
python generate.py --checkpoint-path ${CHECKPOINT_PATH}/stories15M.pt --temperature 0 --prompt "Once upon a time" > ${PWD}/output_eager
cat ${PWD}/output_eager
python export.py --checkpoint-path ${CHECKPOINT_PATH}/stories15M.pt --output-pte-path ${PWD}/stories15M.pte
python generate.py --checkpoint-path ${CHECKPOINT_PATH}/stories15M.pt --temperature 0 --prompt "Once upon a time" --pte-path ${PWD}/stories15M.pte > ${PWD}/output_et
cat ${PWD}/output_et
./runner-et/cmake-out/runner_et run ${PWD}/stories15M.pte -z ${CHECKPOINT_PATH}/tokenizer.bin -i "Once upon a time" > ${PWD}/output_runner_et
echo "eager out:"
cat ${PWD}/output_eager
echo "et out:"
cat ${PWD}/output_et
echo "runner-et out:"
cat ${PWD}/output_runner_et
echo "Tests complete."