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update runner-et to use et-build. Add ET logging to build. #47

update runner-et to use et-build. Add ET logging to build.

update runner-et to use et-build. Add ET logging to build. #47

Workflow file for this run

name: Eager-dtype main
on:
push:
branches:
- main
pull_request:
workflow_dispatch:
jobs:
run-tinystories:
strategy:
matrix:
runner: [macos-12]
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: |
pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cpu
pip install -r requirements.txt
- 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
popd
- name: Run inference
run: |

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Invalid workflow file

You have an error in your yaml syntax on line 42
export MODEL_PATH=checkpoints/stories15M/stories15M.pt
export MODEL_NAME=stories15M
export MODEL_DIR=/tmp
for DTYPE in bfloat16 float16 float32; do
# if [ $(uname -s) == Darwin ]; then
# export DTYPE=float16
# fi
python generate.py --dtype ${DTYPE} --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager
cat ./output_eager
echo "******************************************"
echo "******* Emb: channel-wise quantized ******"
echo "******************************************"
python generate.py --dtype ${DTYPE} --quant '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager
cat ./output_eager
echo "******************************************"
echo "******** Emb: group-wise quantized *******"
echo "******************************************"
python generate.py --dtype ${DTYPE} --quant '{"embedding" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager
cat ./output_eager
echo "******************************************"
echo "******* INT8 channel-wise quantized ******"
echo "******************************************"
python generate.py --dtype ${DTYPE} --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 0}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager
cat ./output_eager
echo "******************************************"
echo "******** INT8 group-wise quantized *******"
echo "******************************************"
python generate.py --dtype ${DTYPE} --quant '{"linear:int8" : {"bitwidth": 8, "groupsize": 8}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager
cat ./output_eager
echo "******************************************"
echo "******** INT4 group-wise quantized *******"
echo "******************************************"
echo "INT4 should work on MacOS on x86, but cannot be tested"
echo "because nightlies are too old!"
# python generate.py --dtype ${DTYPE} --quant '{"linear:int4" : {"groupsize": 32}}' --checkpoint-path ${MODEL_PATH} --temperature 0 > ./output_eager
# cat ./output_eager
echo "tests complete for ${DTYPE}"
done
echo "tests complete for all dtypes!"