Enable unit test workflow on Arc (#9213)
* Add gpu workflow and a transformers API inference test * Set device-specific env variables in script instead of workflow * Fix status message --------- Co-authored-by: sgwhat <ge.song@intel.com>
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75
.github/workflows/llm_unit_tests.yml
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.github/workflows/llm_unit_tests.yml
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@ -192,3 +192,78 @@ jobs:
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pip install -U pandas==2.0.3
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pip install -U pandas==2.0.3
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pip install -U typing_extensions==4.5.0
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pip install -U typing_extensions==4.5.0
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bash python/llm/test/run-llm-langchain-tests.sh
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bash python/llm/test/run-llm-langchain-tests.sh
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llm-unit-test-on-arc:
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needs: llm-cpp-build
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strategy:
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fail-fast: false
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matrix:
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python-version: ["3.9"]
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runs-on: [self-hosted, llm, perf]
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env:
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OMP_NUM_THREADS: 16
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THREAD_NUM: 16
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ANALYTICS_ZOO_ROOT: ${{ github.workspace }}
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steps:
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- name: Set environment variables
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shell: bash
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run: |
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echo "LLAMA2_7B_ORIGIN_PATH=${ORIGIN_DIR}/Llama-2-7b-chat-hf" >> "$GITHUB_ENV"
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echo "CHATGLM2_6B_ORIGIN_PATH=${ORIGIN_DIR}/chatglm2-6b" >> "$GITHUB_ENV"
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echo "FALCON_7B_ORIGIN_PATH=${ORIGIN_DIR}/falcon-7b-instruct-with-patch" >> "$GITHUB_ENV"
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echo "MPT_7B_ORIGIN_PATH=${ORIGIN_DIR}/mpt-7b-chat" >> "$GITHUB_ENV"
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- name: Checkout repo
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uses: actions/checkout@v3
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v4
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install dependencies
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shell: bash
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run: |
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python -m pip install --upgrade pip
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python -m pip install --upgrade setuptools
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python -m pip install --upgrade wheel
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- name: Download llm binary
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uses: ./.github/actions/llm/download-llm-binary
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- name: Run LLM install (all) test
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uses: ./.github/actions/llm/setup-llm-env
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with:
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extra-dependency: "xpu"
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- name: Test installed xpu version
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shell: bash
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run: |
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source /opt/intel/oneapi/setvars.sh
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bash python/llm/test/run-llm-install-tests.sh
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- name: Download LLMs
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shell: bash
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run: |
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if [ ! -d $LLAMA2_7B_ORIGIN_PATH ]; then
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echo "Directory $LLAMA2_7B_ORIGIN_PATH not found. Downloading from FTP server..."
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wget -r -nH --no-verbose --cut-dirs=1 $LLM_FTP_URL/llm/Llama-2-7b-chat-hf -P $ORIGIN_DIR
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fi
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if [ ! -d $CHATGLM2_6B_ORIGIN_PATH ]; then
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echo "Directory $CHATGLM2_6B_ORIGIN_PATH not found. Downloading from FTP server..."
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wget -r -nH --no-verbose --cut-dirs=1 $LLM_FTP_URL/llm/chatglm2-6b -P $ORIGIN_DIR
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fi
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if [ ! -d $FALCON_7B_ORIGIN_PATH ]; then
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echo "Directory $FALCON_7B_ORIGIN_PATH not found. Downloading from FTP server..."
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wget -r -nH --no-verbose --cut-dirs=1 $LLM_FTP_URL/llm/falcon-7b-instruct-with-patch -P $ORIGIN_DIR
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fi
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if [ ! -d $MPT_7B_ORIGIN_PATH ]; then
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echo "Directory $MPT_7B_ORIGIN_PATH not found. Downloading from FTP server..."
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wget -r -nH --no-verbose --cut-dirs=1 $LLM_FTP_URL/llm/mpt-7b-chat -P $ORIGIN_DIR
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fi
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- name: Run LLM inference test
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shell: bash
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run: |
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source /opt/intel/oneapi/setvars.sh
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python -m pip install expecttest
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bash python/llm/test/run-llm-inference-tests-gpu.sh
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52
python/llm/test/inference_gpu/test_transformers_api.py
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python/llm/test/inference_gpu/test_transformers_api.py
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@ -0,0 +1,52 @@
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#
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# Copyright 2016 The BigDL Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import os
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import pytest
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from bigdl.llm.transformers import AutoModelForCausalLM, AutoModel
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from transformers import LlamaTokenizer, AutoTokenizer
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device = os.environ['DEVICE']
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print(f'Running on {device}')
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if device == 'xpu':
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import intel_extension_for_pytorch as ipex
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@pytest.mark.parametrize('prompt, answer', [
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('What is the capital of France?\n\n','Paris')
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])
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@pytest.mark.parametrize('Model, Tokenizer, model_path',[
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(AutoModelForCausalLM, LlamaTokenizer, os.environ.get('LLAMA2_7B_ORIGIN_PATH')),
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(AutoModel, AutoTokenizer, os.environ.get('CHATGLM2_6B_ORIGIN_PATH')),
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(AutoModelForCausalLM, AutoTokenizer, os.environ.get('FALCON_7B_ORIGIN_PATH')),
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])
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def test_completion(Model, Tokenizer, model_path, prompt, answer):
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tokenizer = Tokenizer.from_pretrained(model_path, trust_remote_code=True)
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model = Model.from_pretrained(model_path,
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load_in_4bit=True,
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optimize_model=True,
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trust_remote_code=True)
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model = model.to(device)
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input_ids = tokenizer.encode(prompt, return_tensors="pt").to(device)
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output = model.generate(input_ids, max_new_tokens=32)
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output_str = tokenizer.decode(output[0], skip_special_tokens=True)
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assert answer in output_str
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if __name__ == '__main__':
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pytest.main([__file__])
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26
python/llm/test/run-llm-inference-tests-gpu.sh
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26
python/llm/test/run-llm-inference-tests-gpu.sh
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@ -0,0 +1,26 @@
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#!/bin/bash
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export ANALYTICS_ZOO_ROOT=${ANALYTICS_ZOO_ROOT}
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export LLM_HOME=${ANALYTICS_ZOO_ROOT}/python/llm/src
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export LLM_INFERENCE_TEST_DIR=${ANALYTICS_ZOO_ROOT}/python/llm/test/inference_gpu
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export USE_XETLA=OFF
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export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
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export DEVICE='xpu'
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set -e
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echo "# Start testing inference"
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start=$(date "+%s")
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if [ -z "$THREAD_NUM" ]; then
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THREAD_NUM=2
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fi
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export OMP_NUM_THREADS=$THREAD_NUM
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pytest ${LLM_INFERENCE_TEST_DIR} -v -s
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now=$(date "+%s")
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time=$((now-start))
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echo "Bigdl-llm gpu tests finished"
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echo "Time used:$time seconds"
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