Fix gptj dimension issue for transformers 4.36 #3502

Workflow file for this run

.github/workflows/llm_unit_tests.yml at 063d622

	name: LLM Unit Tests

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

	# Controls when the action will run.
	on:
	# Triggers the workflow on push or pull request events but only for the main branch
	push:
	branches: [main]
	paths:
	- "python/llm/**"
	- ".github/workflows/llm_unit_tests.yml"
	- ".github/workflows/llm-binary-build.yml"
	- ".github/actions/llm/setup-llm-env/action.yml"
	- ".github/actions/llm/remove-llm-env/action.yml"
	- ".github/actions/llm/cli-test-linux/action.yml"
	- ".github/actions/llm/cli-test-windows/action.yml"
	- ".github/actions/llm/download-llm-binary/action.yml"
	pull_request:
	branches: [main]
	paths:
	- "python/llm/**"
	- ".github/workflows/llm_unit_tests.yml"
	- ".github/workflows/llm-binary-build.yml"
	- ".github/actions/llm/setup-llm-env/action.yml"
	- ".github/actions/llm/remove-llm-env/action.yml"
	- ".github/actions/llm/cli-test-linux/action.yml"
	- ".github/actions/llm/cli-test-windows/action.yml"
	- ".github/actions/llm/download-llm-binary/action.yml"
	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
	setup-python-version:
	runs-on: ubuntu-latest
	outputs:
	python-version: ${{ steps.setup-python-version.outputs.python-version }}
	steps:
	- name: setup-python-version
	id: setup-python-version
	run: \|
	if [ ${{ github.event_name }} == 'schedule' ]; then
	python_version='["3.9", "3.10", "3.11"]'
	else
	python_version='["3.9"]'
	fi
	list=$(echo ${python_version} \| jq -c)
	echo "python-version=${list}" >> "$GITHUB_OUTPUT"
	llm-unit-test:
	needs: [setup-python-version, llm-cpp-build]
	strategy:
	fail-fast: false
	matrix:
	os: [windows, ubuntu-20.04-lts]
	python-version: ${{ fromJson(needs.setup-python-version.outputs.python-version) }}
	include:
	- os: windows
	instruction: AVX-VNNI-UT
	- os: ubuntu-20.04-lts
	instruction: avx512
	runs-on: [self-hosted, llm, "${{matrix.instruction}}", "${{matrix.os}}"]
	env:
	THREAD_NUM: 24
	ANALYTICS_ZOO_ROOT: ${{ github.workspace }}
	steps:
	- name: Set model directories
	shell: bash
	run: \|
	echo "DATASET_DIR=${{ github.workspace }}/../llm/datasets" >> "$GITHUB_ENV"
	echo "ORIGIN_DIR=${{ github.workspace }}/../llm/origin-models" >> "$GITHUB_ENV"
	echo "INT4_CKPT_DIR=${{ github.workspace }}/../llm/converted-models" >> "$GITHUB_ENV"
	- name: Create model directories
	shell: bash
	run: \|
	if [ ! -d $DATASET_DIR ]; then
	mkdir -p $DATASET_DIR
	fi
	if [ ! -d $ORIGIN_DIR ]; then
	mkdir -p $ORIGIN_DIR
	fi
	if [ ! -d $INT4_CKPT_DIR ]; then
	mkdir -p $INT4_CKPT_DIR
	fi
	- name: Set environment variables
	shell: bash
	run: \|
	echo "SPEECH_DATASET_PATH=${DATASET_DIR}/librispeech_asr_dummy" >> "$GITHUB_ENV"
	echo "COMMON_VOICE_PATH=${DATASET_DIR}/common_voice" >> "$GITHUB_ENV"

	echo "LLAMA_ORIGIN_PATH=${ORIGIN_DIR}/llama-7b-hf" >> "$GITHUB_ENV"
	echo "BLOOM_ORIGIN_PATH=${ORIGIN_DIR}/bloom-7b1" >> "$GITHUB_ENV"
	echo "ORIGINAL_CHATGLM2_6B_PATH=${ORIGIN_DIR}/chatglm2-6b" >> "$GITHUB_ENV"
	echo "ORIGINAL_REPLIT_CODE_PATH=${ORIGIN_DIR}/replit-code-v1-3b" >> "$GITHUB_ENV"
	echo "ORIGINAL_WHISPER_TINY_PATH=${ORIGIN_DIR}/whisper-tiny" >> "$GITHUB_ENV"
	echo "MISTRAL_ORIGIN_PATH=${ORIGIN_DIR}/Mistral-7B-v0.1" >> "$GITHUB_ENV"

	echo "LLAMA_INT4_CKPT_PATH=${INT4_CKPT_DIR}/bigdl_llm_llama_7b_q4_0.bin" >> "$GITHUB_ENV"
	echo "GPTNEOX_INT4_CKPT_PATH=${INT4_CKPT_DIR}/bigdl_llm_redpajama_7b_q4_0.bin" >> "$GITHUB_ENV"
	echo "BLOOM_INT4_CKPT_PATH=${INT4_CKPT_DIR}/bigdl_llm_bloom_7b_q4_0.bin" >> "$GITHUB_ENV"
	echo "STARCODER_INT4_CKPT_PATH=${INT4_CKPT_DIR}/bigdl_llm_santacoder_1b_q4_0.bin" >> "$GITHUB_ENV"
	echo "CHATGLM_INT4_CKPT_PATH=${INT4_CKPT_DIR}/chatglm2-6b-q4_0.bin" >> "$GITHUB_ENV"
	- 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

	- name: Download llm binary
	uses: ./.github/actions/llm/download-llm-binary

	- name: Run LLM install (all) test
	uses: ./.github/actions/llm/setup-llm-env

	- name: Download ckpt & original models
	shell: bash
	run: \|
	if [ ! -e $LLAMA_INT4_CKPT_PATH ]; then
	echo "Directory $LLAMA_INT4_CKPT_PATH not found. Downloading from FTP server..."
	echo "wget --no-verbose $LLM_FTP_URL/llm/ggml-actions/stable/bigdl_llm_llama_7b_q4_0.bin -P $INT4_CKPT_DIR"
	wget --no-verbose $LLM_FTP_URL/llm/ggml-actions/stable/bigdl_llm_llama_7b_q4_0.bin -P $INT4_CKPT_DIR
	fi
	if [ ! -e $GPTNEOX_INT4_CKPT_PATH ]; then
	echo "Directory $GPTNEOX_INT4_CKPT_PATH not found. Downloading from FTP server..."
	wget --no-verbose $LLM_FTP_URL/llm/ggml-actions/stable/bigdl_llm_redpajama_7b_q4_0.bin -P $INT4_CKPT_DIR
	fi
	if [ ! -e $BLOOM_INT4_CKPT_PATH ]; then
	echo "Directory $BLOOM_INT4_CKPT_PATH not found. Downloading from FTP server..."
	wget --no-verbose $LLM_FTP_URL/llm/ggml-actions/stable/bigdl_llm_bloom_7b_q4_0.bin -P $INT4_CKPT_DIR
	fi
	if [ ! -e $STARCODER_INT4_CKPT_PATH ]; then
	echo "Directory $STARCODER_INT4_CKPT_PATH not found. Downloading from FTP server..."
	wget --no-verbose $LLM_FTP_URL/llm/ggml-actions/stable/bigdl_llm_santacoder_1b_q4_0.bin -P $INT4_CKPT_DIR
	fi
	# if [ ! -e $CHATGLM_INT4_CKPT_PATH ]; then
	# echo "Directory $CHATGLM_INT4_CKPT_PATH not found. Downloading from FTP server..."
	# wget --no-verbose $LLM_FTP_URL/llm/ggml-actions/stable/chatglm2-6b-q4_0.bin -P $INT4_CKPT_DIR
	# fi
	if [ ! -d $ORIGINAL_CHATGLM2_6B_PATH ]; then
	echo "Directory $ORIGINAL_CHATGLM2_6B_PATH not found. Downloading from FTP server..."
	echo "wget -r -nH --no-verbose --cut-dirs=1 $LLM_FTP_URL/llm/chatglm2-6b -P $ORIGIN_DIR"
	wget -r -nH --no-verbose --cut-dirs=1 $LLM_FTP_URL/llm/chatglm2-6b -P $ORIGIN_DIR
	fi
	if [ ! -d $ORIGINAL_REPLIT_CODE_PATH ]; then
	echo "Directory $ORIGINAL_REPLIT_CODE_PATH not found. Downloading from FTP server..."
	echo "wget -r -nH --no-verbose --cut-dirs=1 $LLM_FTP_URL/llm/replit-code-v1-3b -P $ORIGIN_DIR"
	wget -r -nH --no-verbose --cut-dirs=1 $LLM_FTP_URL/llm/replit-code-v1-3b -P $ORIGIN_DIR
	fi
	if [ ! -d $ORIGINAL_WHISPER_TINY_PATH ]; then
	echo "Directory $ORIGINAL_WHISPER_TINY_PATH not found. Downloading from FTP server..."
	echo "wget -r -nH --no-verbose --cut-dirs=1 $LLM_FTP_URL/llm/whisper-tiny -P $ORIGIN_DIR"
	wget -r -nH --no-verbose --cut-dirs=1 $LLM_FTP_URL/llm/whisper-tiny -P $ORIGIN_DIR
	fi
	if [ ! -d $MISTRAL_ORIGIN_PATH ]; then
	echo "Directory $MISTRAL_ORIGIN_PATH not found. Downloading from FTP server..."
	echo "wget -r -nH --no-verbose --cut-dirs=1 $LLM_FTP_URL/llm/Mistral-7B-v0.1 -P $ORIGIN_DIR"
	wget -r -nH --no-verbose --cut-dirs=1 $LLM_FTP_URL/llm/Mistral-7B-v0.1 -P $ORIGIN_DIR
	fi
	if [ ! -d $LLAMA_ORIGIN_PATH ]; then
	echo "Directory $LLAMA_ORIGIN_PATH not found. Downloading from FTP server..."
	echo "wget --no-verbose $LLM_FTP_URL/llm/llama-7b-hf -P $ORIGIN_DIR"
	wget -r -nH --no-verbose --cut-dirs=1 $LLM_FTP_URL/llm/llama-7b-hf -P $ORIGIN_DIR
	fi
	if [ ! -d $BLOOM_ORIGIN_PATH ]; then
	echo "Directory $BLOOM_ORIGIN_PATH not found. Downloading from FTP server..."
	echo "wget --no-verbose $LLM_FTP_URL/llm/bloom-7b1 -P $ORIGIN_DIR"
	wget -r -nH --no-verbose --cut-dirs=1 $LLM_FTP_URL/llm/bloom-7b1 -P $ORIGIN_DIR
	fi
	if [ ! -d $SPEECH_DATASET_PATH ]; then
	echo "Directory $SPEECH_DATASET_PATH not found. Downloading from FTP server..."
	echo "wget -r -nH --no-verbose --cut-dirs=2 $LLM_FTP_URL/llm/datasets/librispeech_asr_dummy -P $DATASET_DIR"
	wget -r -nH --no-verbose --cut-dirs=2 $LLM_FTP_URL/llm/datasets/librispeech_asr_dummy -P $DATASET_DIR
	fi
	if [ ! -d $COMMON_VOICE_PATH ]; then
	echo "Directory $COMMON_VOICE_PATH not found. Downloading from FTP server..."
	echo "wget -r -nH --no-verbose --cut-dirs=2 $LLM_FTP_URL/llm/datasets/common_voice -P $DATASET_DIR"
	wget -r -nH --no-verbose --cut-dirs=2 $LLM_FTP_URL/llm/datasets/common_voice -P $DATASET_DIR
	fi

	- name: Run LLM cli test (Linux)
	if: runner.os == 'Linux'
	uses: ./.github/actions/llm/cli-test-linux
	- name: Run LLM cli test (Windows)
	if: runner.os == 'Windows'
	uses: ./.github/actions/llm/cli-test-windows
	- name: Run LLM inference test
	shell: bash
	run: \|
	python -m pip install einops datasets librosa openai-whisper
	bash python/llm/test/run-llm-inference-tests.sh
	- name: Run LLM langchain test
	shell: bash
	run: \|
	pip install -U langchain==0.0.184
	pip install -U chromadb==0.3.25
	pip install -U pandas==2.0.3
	bash python/llm/test/run-llm-langchain-tests.sh
	llm-unit-test-on-arc:
	needs: [setup-python-version, llm-cpp-build]
	strategy:
	fail-fast: false
	matrix:
	pytorch-version: ['2.1', '2.0']
	python-version: ${{ fromJson(needs.setup-python-version.outputs.python-version) }}
	runs-on: [self-hosted, llm, arc]
	env:
	OMP_NUM_THREADS: 16
	THREAD_NUM: 16
	ANALYTICS_ZOO_ROOT: ${{ github.workspace }}
	steps:
	- name: Set environment variables
	shell: bash
	run: \|
	echo "DATASET_DIR=${ORIGIN_DIR}/../datasets" >> "$GITHUB_ENV"
	echo "ABIRATE_ENGLISH_QUOTES_PATH=${ORIGIN_DIR}/../datasets/abirate_english_quotes" >> "$GITHUB_ENV"
	echo "SPEECH_DATASET_PATH=${ORIGIN_DIR}/../datasets/librispeech_asr_dummy" >> "$GITHUB_ENV"

	echo "LLAMA2_7B_ORIGIN_PATH=${ORIGIN_DIR}/Llama-2-7b-chat-hf" >> "$GITHUB_ENV"
	echo "CHATGLM2_6B_ORIGIN_PATH=${ORIGIN_DIR}/chatglm2-6b" >> "$GITHUB_ENV"
	echo "FALCON_7B_ORIGIN_PATH=${ORIGIN_DIR}/falcon-7b-instruct-with-patch" >> "$GITHUB_ENV"
	echo "MPT_7B_ORIGIN_PATH=${ORIGIN_DIR}/mpt-7b-chat" >> "$GITHUB_ENV"
	echo "WHISPER_TINY_ORIGIN_PATH=${ORIGIN_DIR}/whisper-tiny" >> "$GITHUB_ENV"

	- name: Checkout repo
	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
	python -m pip install --upgrade wheel

	- name: Download llm binary
	uses: ./.github/actions/llm/download-llm-binary

	- name: Install BigDL-LLM for xpu
	uses: ./.github/actions/llm/setup-llm-env
	with:
	extra-dependency: "xpu_${{ matrix.pytorch-version }}"

	- name: Test installed xpu version
	shell: bash
	run: \|
	# Specific oneapi position on arc ut test machines
	if [[ '${{ matrix.pytorch-version }}' == '2.1' ]]; then
	source /home/arda/intel/oneapi/setvars.sh
	elif [[ '${{ matrix.pytorch-version }}' == '2.0' ]]; then
	source /opt/intel/oneapi/setvars.sh
	fi
	bash python/llm/test/run-llm-install-tests.sh

	- name: Download LLMs and datasets
	shell: bash
	run: \|
	if [ ! -d $LLAMA2_7B_ORIGIN_PATH ]; then
	echo "Directory $LLAMA2_7B_ORIGIN_PATH not found. Downloading from FTP server..."
	wget -r -nH --no-verbose --cut-dirs=1 $LLM_FTP_URL/llm/Llama-2-7b-chat-hf -P $ORIGIN_DIR
	fi
	if [ ! -d $CHATGLM2_6B_ORIGIN_PATH ]; then
	echo "Directory $CHATGLM2_6B_ORIGIN_PATH not found. Downloading from FTP server..."
	wget -r -nH --no-verbose --cut-dirs=1 $LLM_FTP_URL/llm/chatglm2-6b -P $ORIGIN_DIR
	fi
	if [ ! -d $FALCON_7B_ORIGIN_PATH ]; then
	echo "Directory $FALCON_7B_ORIGIN_PATH not found. Downloading from FTP server..."
	wget -r -nH --no-verbose --cut-dirs=1 $LLM_FTP_URL/llm/falcon-7b-instruct-with-patch -P $ORIGIN_DIR
	fi
	if [ ! -d $MPT_7B_ORIGIN_PATH ]; then
	echo "Directory $MPT_7B_ORIGIN_PATH not found. Downloading from FTP server..."
	wget -r -nH --no-verbose --cut-dirs=1 $LLM_FTP_URL/llm/mpt-7b-chat -P $ORIGIN_DIR
	fi
	if [ ! -d $WHISPER_TINY_ORIGIN_PATH ]; then
	echo "Directory $WHISPER_TINY_ORIGIN_PATH not found. Downloading from FTP server..."
	wget -r -nH --no-verbose --cut-dirs=1 $LLM_FTP_URL/llm/whisper-tiny -P $ORIGIN_DIR
	fi
	if [ ! -d $DATASET_DIR ]; then
	mkdir -p $DATASET_DIR
	fi
	if [ ! -d $ABIRATE_ENGLISH_QUOTES_PATH ]; then
	echo "Directory $ABIRATE_ENGLISH_QUOTES_PATH not found. Downloading from FTP server..."
	wget -r -nH --no-verbose --cut-dirs=2 $LLM_FTP_URL/llm/datasets/abirate_english_quotes -P $DATASET_DIR
	fi
	if [ ! -d $SPEECH_DATASET_PATH ]; then
	echo "Directory $SPEECH_DATASET_PATH not found. Downloading from FTP server..."
	wget -r -nH --no-verbose --cut-dirs=2 $LLM_FTP_URL/llm/datasets/librispeech_asr_dummy -P $DATASET_DIR
	fi

	- name: Run LLM inference test
	shell: bash
	run: \|
	# Specific oneapi position on arc ut test machines
	if [[ '${{ matrix.pytorch-version }}' == '2.1' ]]; then
	source /home/arda/intel/oneapi/setvars.sh
	elif [[ '${{ matrix.pytorch-version }}' == '2.0' ]]; then
	source /opt/intel/oneapi/setvars.sh
	fi
	python -m pip install datasets librosa soundfile einops
	bash python/llm/test/run-llm-inference-tests-gpu.sh

	- name: Run LLM example tests
	shell: bash
	run: \|
	python -m pip uninstall datasets -y
	python -m pip install transformers==4.34.0 datasets peft==0.5.0 accelerate==0.23.0
	python -m pip install bitsandbytes scipy
	# Specific oneapi position on arc ut test machines
	if [[ '${{ matrix.pytorch-version }}' == '2.1' ]]; then
	source /home/arda/intel/oneapi/setvars.sh
	elif [[ '${{ matrix.pytorch-version }}' == '2.0' ]]; then
	source /opt/intel/oneapi/setvars.sh
	fi
	bash python/llm/test/run-llm-example-tests-gpu.sh

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Fix gptj dimension issue for transformers 4.36 #3502

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Fix gptj dimension issue for transformers 4.36 #3502

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Workflow file for this run