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ARC LLM Test for Stable Version

Update tests for transformers 4.36 #11

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Update tests for transformers 4.36

Update tests for transformers 4.36 #11

Workflow file for this run

.github/workflows/llm_tests_for_stable_version_on_arc.yml at a533ae8
name: ARC LLM Test for Stable Version
# Cancel previous runs in the PR when you push new commits
concurrency:
group: ${{ github.workflow }}-llm-performance-tests-${{ github.event.pull_request.number || github.run_id }}
cancel-in-progress: true
permissions:
contents: read
# Controls when the action will run.
on:
pull_request:
branches: [main]
paths:
- ".github/workflows/llm_performance_tests.yml"
- "python/llm/test/benchmark/**"
- "python/llm/dev/benchmark/all-in-one/**"
workflow_dispatch:
workflow_call:
# A workflow run is made up of one or more jobs that can run sequentially or in parallel
jobs:
llm-cpp-build:
uses: ./.github/workflows/llm-binary-build.yml
with:
platform: 'Linux'
llm-perf-regression-test-on-arc:
needs: llm-cpp-build
strategy:
fail-fast: false
matrix:
python-version: ["3.11"]
runs-on: [self-hosted, llm, perf]
env:
OMP_NUM_THREADS: 16
THREAD_NUM: 16
ANALYTICS_ZOO_ROOT: ${{ github.workspace }}
CSV_SAVE_PATH: '/mnt/disk1/stable_version_perf_gpu/'
steps:
- uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
shell: bash
# pip install transformers_stream_generator for model internlm-chat-7b-8k
# pip install tiktoken for model Qwen-7B-Chat-10-12
run: |
python -m pip install --upgrade pip
python -m pip install --upgrade wheel
python -m pip install --upgrade omegaconf
python -m pip install --upgrade pandas
python -m pip install --upgrade einops
python -m pip install --upgrade transformers_stream_generator
python -m pip install --upgrade tiktoken
- name: Download llm binary
uses: ./.github/actions/llm/download-llm-binary
with:
platform: 'Linux'
- name: Run LLM install (all) test
uses: ./.github/actions/llm/setup-llm-env
with:
extra-dependency: "xpu_2.1"
- name: Test installed xpu version
shell: bash
run: |
source /opt/intel/oneapi/setvars.sh
bash python/llm/test/run-llm-install-tests.sh
- name: Test on xpu (int4)
shell: bash
run: |
source /opt/intel/oneapi/setvars.sh
export USE_XETLA=OFF
export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
mv python/llm/test/benchmark/stable-version-arc-perf-test-sym_int4.yaml python/llm/dev/benchmark/all-in-one/config.yaml
cd python/llm/dev/benchmark/all-in-one
# hide time info
sed -i 's/str(end - st)/"xxxxxx"/g' run.py
# batch_size = 1
sed -i '/batch_size/c\batch_size: 1' config.yaml
python run.py
cp ./*.csv $CSV_SAVE_PATH/int4/batch_size_1
rm ./*.csv
# batch_size = 2
sed -i '/batch_size/c\batch_size: 2' config.yaml
python run.py
cp ./*.csv $CSV_SAVE_PATH/int4/batch_size_2
rm ./*.csv
# batch_size = 4
sed -i '/batch_size/c\batch_size: 4' config.yaml
python run.py
cp ./*.csv $CSV_SAVE_PATH/int4/batch_size_4
rm ./*.csv
# batch_size = 8
sed -i '/batch_size/c\batch_size: 8' config.yaml
python run.py
cp ./*.csv $CSV_SAVE_PATH/int4/batch_size_8
rm ./*.csv
cd ../../../test/benchmark
python -m pip install pandas==1.5.3
python csv_to_html.py -f $CSV_SAVE_PATH/int4/batch_size_1 -b $CSV_SAVE_PATH/int4/batch_size_1/transformer_int4_gpu-results-1baseline.csv -t 5.0
python csv_to_html.py -f $CSV_SAVE_PATH/int4/batch_size_2 -b $CSV_SAVE_PATH/int4/batch_size_2/transformer_int4_gpu-results-1baseline.csv -t 5.0
python csv_to_html.py -f $CSV_SAVE_PATH/int4/batch_size_4 -b $CSV_SAVE_PATH/int4/batch_size_4/transformer_int4_gpu-results-1baseline.csv -t 5.0
python csv_to_html.py -f $CSV_SAVE_PATH/int4/batch_size_8 -b $CSV_SAVE_PATH/int4/batch_size_8/transformer_int4_gpu-results-1baseline.csv -t 5.0
- name: Test on xpu (fp8)
shell: bash
run: |
source /opt/intel/oneapi/setvars.sh
export USE_XETLA=OFF
export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
mv python/llm/test/benchmark/stable-version-arc-perf-test-fp8.yaml python/llm/dev/benchmark/all-in-one/config.yaml
cd python/llm/dev/benchmark/all-in-one
# hide time info
sed -i 's/str(end - st)/"xxxxxx"/g' run.py
# batch_size = 1
sed -i '/batch_size/c\batch_size: 1' config.yaml
python run.py
cp ./*.csv $CSV_SAVE_PATH/fp8/batch_size_1
rm ./*.csv
# batch_size = 2
sed -i '/batch_size/c\batch_size: 2' config.yaml
python run.py
cp ./*.csv $CSV_SAVE_PATH/fp8/batch_size_2
rm ./*.csv
# batch_size = 4
sed -i '/batch_size/c\batch_size: 4' config.yaml
python run.py
cp ./*.csv $CSV_SAVE_PATH/fp8/batch_size_4
rm ./*.csv
# batch_size = 8
sed -i '/batch_size/c\batch_size: 8' config.yaml
python run.py
cp ./*.csv $CSV_SAVE_PATH/fp8/batch_size_8
rm ./*.csv
cd ../../../test/benchmark
python -m pip install pandas==1.5.3
python csv_to_html.py -f $CSV_SAVE_PATH/fp8/batch_size_1 -b $CSV_SAVE_PATH/fp8/batch_size_1/transformer_int4_gpu-results-1baseline.csv -t 5.0
python csv_to_html.py -f $CSV_SAVE_PATH/fp8/batch_size_2 -b $CSV_SAVE_PATH/fp8/batch_size_2/transformer_int4_gpu-results-1baseline.csv -t 5.0
python csv_to_html.py -f $CSV_SAVE_PATH/fp8/batch_size_4 -b $CSV_SAVE_PATH/fp8/batch_size_4/transformer_int4_gpu-results-1baseline.csv -t 5.0
python csv_to_html.py -f $CSV_SAVE_PATH/fp8/batch_size_8 -b $CSV_SAVE_PATH/fp8/batch_size_8/transformer_int4_gpu-results-1baseline.csv -t 5.0
llm-stress-test-on-arc:
needs: llm-perf-regression-test-on-arc
strategy:
fail-fast: false
matrix:
python-version: ["3.11"]
runs-on: [self-hosted, llm, perf]
env:
OMP_NUM_THREADS: 16
THREAD_NUM: 16
ANALYTICS_ZOO_ROOT: ${{ github.workspace }}
CSV_SAVE_PATH: '/mnt/disk1/stable_version_stress_test_gpu/'
steps:
- uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
shell: bash
# pip install transformers_stream_generator for model internlm-chat-7b-8k
# pip install tiktoken for model Qwen-7B-Chat-10-12
run: |
python -m pip install --upgrade pip
python -m pip install --upgrade wheel
python -m pip install --upgrade omegaconf
python -m pip install --upgrade pandas
python -m pip install --upgrade einops
python -m pip install --upgrade transformers_stream_generator
python -m pip install --upgrade tiktoken
- name: Download llm binary
uses: ./.github/actions/llm/download-llm-binary
- name: Run LLM install (all) test
uses: ./.github/actions/llm/setup-llm-env
with:
extra-dependency: "xpu_2.1"
- name: Test installed xpu version
shell: bash
run: |
source /opt/intel/oneapi/setvars.sh
bash python/llm/test/run-llm-install-tests.sh
- name: Test on xpu (int4)
shell: bash
run: |
source /opt/intel/oneapi/setvars.sh
export USE_XETLA=OFF
export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
mv python/llm/test/benchmark/stable-version-arc-stress-test-sym_int4.yaml python/llm/dev/benchmark/all-in-one/config.yaml
cd python/llm/dev/benchmark/all-in-one
# hide time info
sed -i 's/str(end - st)/"xxxxxx"/g' run-stress-test.py
python run-stress-test.py
cp ./*.csv $CSV_SAVE_PATH/int4
rm ./*.csv
cd ../../../test/benchmark
python -m pip install pandas==1.5.3
python csv_to_html.py -f $CSV_SAVE_PATH/int4
- name: Test on xpu (fp8)
shell: bash
run: |
source /opt/intel/oneapi/setvars.sh
export USE_XETLA=OFF
export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
mv python/llm/test/benchmark/stable-version-arc-stress-test-fp8.yaml python/llm/dev/benchmark/all-in-one/config.yaml
cd python/llm/dev/benchmark/all-in-one
# hide time info
sed -i 's/str(end - st)/"xxxxxx"/g' run-stress-test.py
python run-stress-test.py
cp ./*.csv $CSV_SAVE_PATH/fp8
rm ./*.csv
cd ../../../test/benchmark
python -m pip install pandas==1.5.3
python csv_to_html.py -f $CSV_SAVE_PATH/fp8