LLM C-Eval #22

Workflow file for this run

.github/workflows/llm-c-evaluation.yml at 96543ae

	name: LLM C-Eval

	# Cancel previous runs in the PR when you push new commits
	concurrency:
	group: ${{ github.workflow }}-llm-nightly-test-${{ github.event.pull_request.number \|\| github.run_id }}
	cancel-in-progress: true

	permissions:
	contents: read

	# Controls when the action will run.
	on:
	schedule:
	- cron: "00 15 * * *" # GMT time, 15:00 GMT == 23:00 Beijing Time
	pull_request:
	branches: [main]
	paths:
	- ".github/workflows/llm-c-evaluation.yml"
	# Allows you to run this workflow manually from the Actions tab
	workflow_dispatch:
	inputs:
	model_name:
	description: 'Model names, separated by comma and must be quoted.'
	required: true
	type: string
	precision:
	description: 'Precisions, separated by comma and must be quoted.'
	required: true
	type: string
	runs-on:
	description: 'Labels to filter the runners, separated by comma and must be quoted.'
	default: "accuracy"
	required: false
	type: string

	# A workflow run is made up of one or more jobs that can run sequentially
	jobs:
	llm-cpp-build:
	uses: ./.github/workflows/llm-binary-build.yml
	with:
	platform: 'Linux'
	# Set the testing matrix based on the event (schedule, PR, or manual dispatch)
	set-matrix:
	runs-on: ubuntu-latest
	outputs:
	model_name: ${{ steps.set-matrix.outputs.model_name }}
	precision: ${{ steps.set-matrix.outputs.precision }}
	runner: ${{ steps.set-matrix.outputs.runner }}
	steps:
	- name: set-nightly-env
	if: ${{github.event_name == 'schedule'}}
	env:
	NIGHTLY_MATRIX_MODEL_NAME: '["chatglm2-6b","chinese-llama2-7b", "Qwen-7B-Chat"]'
	NIGHTLY_MATRIX_PRECISION: '["sym_int4", "fp8_e5m2"]'
	NIGHTLY_LABELS: '["self-hosted", "llm", "accuracy-nightly"]'
	run: \|
	echo "model_name=$NIGHTLY_MATRIX_MODEL_NAME" >> $GITHUB_ENV
	echo "precision=$NIGHTLY_MATRIX_PRECISION" >> $GITHUB_ENV
	echo "runner=$NIGHTLY_LABELS" >> $GITHUB_ENV

	- name: set-pr-env
	if: ${{github.event_name == 'pull_request'}}
	env:
	PR_MATRIX_MODEL_NAME: '["Qwen-7B-Chat"]'
	PR_MATRIX_PRECISION: '["sym_int4", "fp8_e5m2"]'
	PR_LABELS: '["self-hosted", "llm", "temp-arc01"]'
	run: \|
	echo "model_name=$PR_MATRIX_MODEL_NAME" >> $GITHUB_ENV
	echo "precision=$PR_MATRIX_PRECISION" >> $GITHUB_ENV
	echo "runner=$PR_LABELS" >> $GITHUB_ENV
	- name: set-manual-env
	if: ${{github.event_name == 'workflow_dispatch'}}
	env:
	MANUAL_MATRIX_MODEL_NAME: ${{format('[ {0} ]', inputs.model_name)}}
	MANUAL_MATRIX_PRECISION: ${{format('[ {0} ]', inputs.precision)}}
	MANUAL_LABELS: ${{format('["self-hosted", "llm", {0}]', inputs.runs-on)}}
	run: \|
	echo "model_name=$MANUAL_MATRIX_MODEL_NAME" >> $GITHUB_ENV
	echo "precision=$MANUAL_MATRIX_PRECISION" >> $GITHUB_ENV
	echo "runner=$MANUAL_LABELS" >> $GITHUB_ENV
	- name: set-matrix
	id: set-matrix
	run: \|
	echo "model_name=$model_name" >> $GITHUB_OUTPUT
	echo "precision=$precision" >> $GITHUB_OUTPUT
	echo "runner=$runner" >> $GITHUB_OUTPUT

	llm-c-evaluation:
	timeout-minutes: 1200
	needs: [llm-cpp-build, set-matrix]
	strategy:
	fail-fast: false
	matrix:
	python-version: ["3.9"]
	model_name: ${{ fromJson(needs.set-matrix.outputs.model_name) }}
	precision: ${{ fromJson(needs.set-matrix.outputs.precision) }}
	device: [xpu]

	runs-on: ${{ fromJson(needs.set-matrix.outputs.runner) }}
	env:
	ANALYTICS_ZOO_ROOT: ${{ github.workspace }}
	ORIGIN_DIR: /mnt/disk1/models
	CEVAL_HF_HOME: /mnt/disk1/ceval_home
	steps:
	- uses: 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
	run: \|
	python -m pip install --upgrade pip
	python -m pip install --upgrade setuptools==58.0.4
	python -m pip install --upgrade wheel
	pip install einops
	pip install thefuzz
	pip install tiktoken
	pip install transformers==4.31.0
	pip install transformers_stream_generator

	- 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: Download models and datasets
	shell: bash
	run: \|
	echo "MODEL_PATH=${ORIGIN_DIR}/${{ matrix.model_name }}/" >> "$GITHUB_ENV"
	MODEL_PATH=${ORIGIN_DIR}/${{ matrix.model_name }}/
	if [ ! -d $CEVAL_HF_HOME ]; then
	mkdir -p $CEVAL_HF_HOME
	fi
	if [ ! -d "$CEVAL_HF_HOME/data" ]; then
	mkdir -p "$CEVAL_HF_HOME/data"
	fi
	if [ -d "$CEVAL_HF_HOME/data/dev" ]; then
	rm -rf "$CEVAL_HF_HOME/data/dev"
	fi

	if [ -d "$CEVAL_HF_HOME/data/test" ]; then
	rm -rf "$CEVAL_HF_HOME/data/test"
	fi

	if [ -d "$CEVAL_HF_HOME/data/val" ]; then
	rm -rf "$CEVAL_HF_HOME/data/val"
	fi
	wget -r -nH -nc --no-verbose --cut-dirs=1 ${LLM_FTP_URL}/llm/ceval-exam.zip -P "$CEVAL_HF_HOME/data"
	echo "DATA_PATH=$CEVAL_HF_HOME/data" >> "$GITHUB_ENV"
	DATA_PATH=$CEVAL_HF_HOME/data
	unzip -o "$CEVAL_HF_HOME/data/ceval-exam.zip" -d "$CEVAL_HF_HOME/data"
	wget -r -nH -nc --no-verbose --cut-dirs=1 ${LLM_FTP_URL}/llm/${{ matrix.model_name }} -P ${ORIGIN_DIR}

	- name: Run C-Eval
	shell: bash
	working-directory: ${{ github.workspace }}/python/llm/dev/benchmark/ceval
	env:
	USE_XETLA: OFF
	SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS: 1
	run: \|
	source /opt/intel/oneapi/setvars.sh
	python eval.py \
	--model_path ${MODEL_PATH} \
	--eval_type validation \
	--device xpu \
	--eval_data_path ${DATA_PATH} \
	--qtype ${{ matrix.precision }}

	- uses: actions/upload-artifact@v3
	with:
	name: ceval_results
	path:
	${{ github.workspace }}/python/llm/dev/benchmark/ceval/results/**

	llm-ceval-summary:
	if: ${{ always() }}
	needs: llm-c-evaluation
	runs-on: ubuntu-latest
	steps:
	- uses: actions/checkout@v3
	- name: Set up Python 3.9
	uses: actions/setup-python@v4
	with:
	python-version: 3.9
	- name: Install dependencies
	shell: bash
	run: \|
	pip install --upgrade pip
	pip install pandas==1.5.3

	- name: Download ceval results
	uses: actions/download-artifact@v3
	with:
	name: ceval_results
	path: results

	- name: Summarize the results
	shell: bash
	run: \|
	ls results
	echo "DATE=$(date +%Y-%m-%d)" >> $GITHUB_ENV
	python ${{ github.workspace }}/python/llm/dev/benchmark/ceval/organize_results.py results/ results/

	- name: Set artifact file path
	run: echo "ARTIFACT_PATH=results/results_${{ env.DATE }}.csv" >> $GITHUB_ENV

	- uses: actions/upload-artifact@v3
	with:
	name: results_${{ env.DATE }}
	path: ${{ env.ARTIFACT_PATH }}

	llm-ceval-html:
	if: ${{github.event_name == 'schedule' \|\| github.event_name == 'pull_request'}}
	needs: [llm-c-evaluation, llm-ceval-summary]
	runs-on: ["self-hosted", "llm", "accuracy1", "accuracy-nightly"]
	steps:
	- uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # actions/checkout@v3
	- name: Set up Python 3.9
	uses: actions/setup-python@v4
	with:
	python-version: 3.9
	- name: Install dependencies
	shell: bash
	run: \|
	pip install --upgrade pip
	pip install numpy
	pip install pandas==1.5.3
	pip install jsonlines pytablewriter regex

	- name: Set output path
	shell: bash
	run: \|
	echo "DATE=$(date +%Y-%m-%d)" >> $GITHUB_ENV
	if ${{github.event_name == 'pull_request'}}; then
	echo 'ACC_FOLDER=/home/arda/ceval-action-runners/pr-accuracy-data' >> $GITHUB_ENV
	fi
	if ${{github.event_name == 'schedule'}}; then
	echo 'ACC_FOLDER=/home/arda/ceval-action-runners/nightly-accuracy-data' >> $GITHUB_ENV
	fi

	- name: Create ceval results directory if not exists
	run: \|
	if [ ! -d "${{ env.ACC_FOLDER }}" ]; then
	mkdir -p "${{ env.ACC_FOLDER }}"
	fi

	- name: Download ceval results
	uses: actions/download-artifact@v3
	with:
	name: results_${{ env.DATE }}
	path: ${{ env.ACC_FOLDER }}
	rename: results_${{ env.DATE }}.csv

	- name: Update HTML
	working-directory: ${{ github.workspace }}/python/llm/test/benchmark/ceval/
	shell: bash
	run: \|
	python ceval_csv_to_html.py -f $ACC_FOLDER
	if ${{github.event_name == 'schedule'}}; then
	python update_html_in_parent_folder.py -f $ACC_FOLDER
	fi

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LLM C-Eval #22

Workflow file

LLM C-Eval #22

Jobs

Run details

Workflow file for this run