207 lines
8.9 KiB
YAML
207 lines
8.9 KiB
YAML
# Disabled LLM CI workflow - manually enabled when needed
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name: LLM CI (DISABLED)
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#on:
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# pull_request:
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# types: [opened, synchronize, reopened]
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# branches: [develop]
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# schedule:
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# - cron: "2 0 * * *"
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# workflow_call:
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# inputs:
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# run_downstream:
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# required: true
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# type: string
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# image_name:
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# required: true
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# type: string
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#concurrency:
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# group: ${{ github.workflow }}-${{ github.event.pull_request.number }}
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# cancel-in-progress: true
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#env:
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# PR_ID: ${{ github.event.pull_request.number }}
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COMMIT_ID: ${{ github.event.pull_request.head.sha }}
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TASK: paddlenlp-CI-${{ github.event.pull_request.number }}-llm
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ci_scripts: /workspace/PaddleNLP/scripts/regression
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BRANCH: ${{ github.event.pull_request.base.ref }}
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AGILE_COMPILE_BRANCH: ${{ github.event.pull_request.base.ref }}
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CI_name: llm-ci
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no_proxy: "localhost,bj.bcebos.com,su.bcebos.com,bcebos.com,apiin.im.baidu.com,gitee.com,aliyun.com,.baidu.com,.tuna.tsinghua.edu.cn"
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HF_ENDPOINT: https://hf-mirror.com
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STUDIO_GIT_HOST: http://git.prod.idc-to-cloud.aistudio.baidu-int.com
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PPNLP_HOME: /ssd1/paddlenlp
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HF_DATASETS_CACHE: /ssd1/paddlenlp/huggingface/datasets
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TRANSFORMERS_CACHE: /ssd1/paddlenlp/huggingface
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CCACHE_DIR: /home/data/gzcfs/.ccache/gpubox
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RUN_DOWNSTREAM: ${{ inputs.run_downstream }}
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#defaults:
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# run:
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# shell: bash
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#jobs:
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# llm-ci:
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# name: llm-ci (DISABLED)
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runs-on: [self-hosted, ernie-8gpu]
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steps:
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- name: Determine Image Name
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env:
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IMAGE_NAME: ${{ inputs.image_name }}
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run: |
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if [[ -n "${IMAGE_NAME}" ]]; then
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echo "IMAGE_NAME=${IMAGE_NAME}" >> "$GITHUB_ENV"
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else
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echo "IMAGE_NAME=iregistry.baidu-int.com/paddlecloud/base-images:paddlecloud-ubuntu18.04-gcc8.2-cuda11.8-cudnn8.6-nccl2.15.5-paddlenlp-latest" >> "$GITHUB_ENV"
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fi
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- name: Run Container
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env:
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work_dir: ${{ github.workspace }}
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CACHE_DIR: /home/data/cfs/.cache
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FLAGS_dynamic_static_unified_comm: "True"
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python_version: "3.10"
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paddle_whl: https://paddle-qa.bj.bcebos.com/paddle-pipeline/Develop-GpuSome-LinuxCentos-Gcc82-Cuda118-Cudnn86-Trt85-Py310-CINN-Compile/latest/paddlepaddle_gpu-0.0.0-cp310-cp310-linux_x86_64.whl
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run: |
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container_name=${TASK}-$(date +%Y%m%d-%H%M%S)
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echo "container_name=${container_name}" >> "$GITHUB_ENV"
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if [[ "$RUN_DOWNSTREAM" == "false" ]]; then
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echo "Not in a pull_request or test_build event. Skipping..."
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else
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docker run -d -t --name ${container_name} --net=host -v /dev/shm:/dev/shm --shm-size=32G \
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-v $work_dir/../../..:$work_dir/../../.. \
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-v $work_dir:/workspace \
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-v /home/.cache/pip:/home/.cache/pip \
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-v /ssd1/paddlenlp:/ssd1/paddlenlp \
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-v /home/data/gzcfs/.ccache/gpubox:/home/data/gzcfs/.ccache/gpubox \
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-e BRANCH \
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-e AGILE_COMPILE_BRANCH \
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-e PR_ID \
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-e COMMIT_ID \
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-e work_dir \
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-e ci_scripts \
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-e no_proxy \
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-e CI_name \
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-e paddle_whl \
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-e HF_ENDPOINT \
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-e STUDIO_GIT_HOST \
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-e PPNLP_HOME \
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-e HF_DATASETS_CACHE \
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-e TRANSFORMERS_CACHE \
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-e CACHE_DIR \
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-e FLAGS_dynamic_static_unified_comm \
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-e python_version \
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-w /workspace --runtime=nvidia $IMAGE_NAME
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fi
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- name: Download Code
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env:
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work_dir: ${{ github.workspace }}
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run: |
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if [[ "$RUN_DOWNSTREAM" == "false" ]]; then
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echo "Not in a pull_request or test_build event. Skipping.."
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else
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docker exec -t $container_name /bin/bash -c '
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rm -rf * .[^.]*
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echo "Downloading PaddleNLP.tar.gz"
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wget -q --no-proxy https://paddle-qa.bj.bcebos.com/CodeSync/develop/PaddleNLP.tar --no-check-certificate
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echo "Extracting PaddleNLP.tar.gz"
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tar xf PaddleNLP.tar && rm -rf PaddleNLP.tar
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source $work_dir/../../../proxy
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cd PaddleNLP
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git config --global user.name "PaddleCI"
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git config --global user.email "paddle_ci@example.com"
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git pull
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git submodule update --init --recursive --force
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if [ -n "${PR_ID}" ]; then
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git fetch origin pull/${PR_ID}/head
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git checkout -b PR_${PR_ID} FETCH_HEAD
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git remote add upstream https://github.com/PaddlePaddle/PaddleNLP.git
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git fetch upstream ${BRANCH}
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git merge ${BRANCH} --no-edit
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git diff --numstat ${BRANCH} -- | awk "{print \$NF}"
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else
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echo "Not in a pull_request event. Skipping PR-specific operations."
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fi
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git log --pretty=oneline -10
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'
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fi
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- name: Skip For Bug
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run: |
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if [[ "$RUN_DOWNSTREAM" == "false" ]]; then
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echo "Not in a pull_request or test_build event. Skipping..."
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else
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docker exec -t $container_name /bin/bash -c '
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cd /workspace/PaddleNLP
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git revert f2477c07272d04244cd3287d1f21c70482a4a85f --no-edit # 套件PR#10413引入bug-待修复
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git revert d74c950e15a35b7a100d1688c89318195cc83bca --no-edit # 框架升级后配合修改,当前因框架bug固定commit适配
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'
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fi
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- name: Test
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run: |
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if [[ "$RUN_DOWNSTREAM" == "false" ]]; then
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echo "Not in a pull_request or test_build event. Skipping..."
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else
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docker exec -t $container_name /bin/bash -c '
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ldconfig
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unlink /usr/bin/python3
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ln -sf $(which python${python_version}) /usr/bin/python3
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pip config set global.cache-dir "/home/.cache/pip"
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set -e
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source $work_dir/../../../proxy
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cd /workspace/PaddleNLP && git config --global --add safe.directory $PWD
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echo "Paddle PR#73283 PR#74484 import bug, set paddle_commit=8ae742 to skip "
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export paddle_whl=https://paddle-qa.bj.bcebos.com/paddle-pipeline/Develop-GpuSome-LinuxCentos-Gcc82-Cuda118-Cudnn86-Trt85-Py310-CINN-Compile/8ae7423e99b2ea96e410968a0ebb3f1795e37205/paddlepaddle_gpu-0.0.0-cp310-cp310-linux_x86_64.whl
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timeout 2h bash scripts/regression/run_ci.sh python${python_version} ${paddle_whl}
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'
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fi
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- name: Upload Allure-reports & Logs
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if: always()
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env:
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home_path: ${{ github.workspace }}/../../..
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bos_file: ${{ github.workspace }}/../../../bos/BosClient.py
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allure_file: ${{ github.workspace }}/../../../allure-2.19.0/bin/allure
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run: |
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if [[ "$RUN_DOWNSTREAM" == "false" ]]; then
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echo "Not in a pull_request or test_build event. Skipping..."
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else
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docker exec -t $container_name /bin/bash -c '
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unset http_proxy && unset https_proxy
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if [ ! -f "${{ env.bos_file }}" ]; then
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wget -q --no-proxy -O ${{ env.home_path }}/bos_new.tar.gz https://xly-devops.bj.bcebos.com/home/bos_new.tar.gz --no-check-certificate
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mkdir ${{ env.home_path }}/bos
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tar xf ${{ env.home_path }}/bos_new.tar.gz -C ${{ env.home_path }}/bos
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fi
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if [ ! -f "${{ env.allure_file }}" ]; then
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wget -q --no-proxy -O ${{ env.home_path }}/allure-2.19.0.zip https://xly-devops.bj.bcebos.com/tools/allure-2.19.0.zip --no-check-certificate
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unzip -q ${{ env.home_path }}/allure-2.19.0.zip -d ${{ env.home_path }}/
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fi
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if [[ "${{ env.RUN_DOWNSTREAM }}" == "" && -n "${PR_ID}" ]]; then
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bos_prefix="${PR_ID}/${COMMIT_ID}"
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elif [[ "${{ env.RUN_DOWNSTREAM }}" == "true" && -n "${PR_ID}" ]]; then
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bos_prefix="${PR_ID}/${COMMIT_ID}/test_build"
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else
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bos_prefix="schedule/$(date +%Y%m%d)"
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fi
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cd /workspace/PaddleNLP/model_logs
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for FILE in /workspace/PaddleNLP/model_logs/*; do
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file=$(basename "$FILE")
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python ${{ env.bos_file }} $file paddle-github-action/PR/PaddleNLP/llm/${bos_prefix}/logs
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echo "$file: https://paddle-github-action.bj.bcebos.com/PR/PaddleNLP/llm/${bos_prefix}/logs/$file"
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done
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cd /workspace/PaddleNLP/
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${{ env.allure_file }} generate result -o report
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tar -czf products.tar.gz report model_logs
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python ${{ env.bos_file }} products.tar.gz paddle-github-action/PR/PaddleNLP/llm/${bos_prefix}/logs
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echo "products: https://paddle-github-action.bj.bcebos.com/PR/PaddleNLP/llm/${bos_prefix}/logs/products.tar.gz"
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'
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fi
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- name: Terminate And Delete the Container
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if: always()
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run: |
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docker rm -f ${{ env.container_name }} 2>/dev/null || true |