[Iluvatar GPU] Add CI scripts

.github/workflows/ci_iluvatar.yml

@@ -0,0 +1,84 @@
+name: CI_ILUVATAR
+
+on:
+  pull_request:
+    branches: [ develop ]
+  workflow_dispatch:
+
+concurrency:
+  group: ${{ github.event.pull_request.number }}-iluvatar-ci
+  cancel-in-progress: true
+
+jobs:
+  CI_ILUVATAR:
+    runs-on: [self-hosted, IXUCA]
+    steps:
+      - name: Print current runner name
+        run: |
+          echo "Current runner name: ${{ runner.name }}"
+      # Because the system version is lower than 2.23, the checkout cannot be used.
+      # - name: Checkout code
+      #   uses: actions/checkout@v4
+
+      - name: Code Checkout
+        env:
+          docker_image: ccr-2vdh3abv-pub.cnc.bj.baidubce.com/device/paddle-ixuca:latest
+        run: |
+          REPO="https://github.com/${{ github.repository }}.git"
+          FULL_REPO="${{ github.repository }}"
+          REPO_NAME="${FULL_REPO##*/}"
+          # Clean the repository directory before starting
+          docker run --rm --net=host -v $(pwd):/workspace -w /workspace \
+          -e "REPO_NAME=${REPO_NAME}" \
+          ${docker_image} /bin/bash -c '
+            if [ -d ${REPO_NAME} ]; then
+              echo "Directory ${REPO_NAME} exists, removing it..."
+              rm -rf ${REPO_NAME}
+            fi
+          '
+          git config --global user.name "FastDeployCI"
+          git config --global user.email "[email protected]"
+          git clone ${REPO} ${REPO_NAME}
+          cd FastDeploy
+          if [ "${{ github.event_name }}" = "pull_request" ]; then
+            git fetch origin pull/${{ github.event.pull_request.number }}/head:pr/${{ github.event.pull_request.number }}
+            git merge pr/${{ github.event.pull_request.number }}
+            git log -n 3 --oneline
+          else
+            git checkout ${{ github.sha }}
+            git log -n 3 --oneline
+          fi
+
+      - name: Run CI unittest
+        env:
+          docker_image: ccr-2vdh3abv-pub.cnc.bj.baidubce.com/device/paddle-ixuca:latest
+        run: |
+          runner_name="${{ runner.name }}"
+          last_char="${runner_name: -1}"
+
+          if [[ "$last_char" =~ [0-3] ]]; then
+            gpu_id="$last_char"
+          else
+            gpu_id="0"
+          fi
+          FD_API_PORT=$((9180 + gpu_id * 100))
+          FD_ENGINE_QUEUE_PORT=$((9150 + gpu_id * 100))
+          FD_METRICS_PORT=$((9170 + gpu_id * 100))
+
+          PARENT_DIR=$(dirname "$WORKSPACE")
+          echo "PARENT_DIR:$PARENT_DIR"
+          docker run --rm --net=host --pid=host --cap-add=ALL --privileged --shm-size=64G  \
+          -v /usr/src:/usr/src -v /lib/modules:/lib/modules -v /dev:/dev \
+          -v $(pwd):/workspace -w /workspace \
+          -v "/data1/fastdeploy:/data1/fastdeploy" \
+          -e "MODEL_PATH=/ssd3/model" \
+          -e "http_proxy=$(git config --global --get http.proxy)" \
+          -e "https_proxy=$(git config --global --get https.proxy)" \
+          -e "FD_API_PORT=${FD_API_PORT}" \
+          -e "FD_ENGINE_QUEUE_PORT=${FD_ENGINE_QUEUE_PORT}" \
+          -e "FD_METRICS_PORT=${FD_METRICS_PORT}" \
+           ${docker_image} /bin/bash -c "
+          git config --global --add safe.directory /workspace/FastDeploy
+          cd FastDeploy
+          bash scripts/run_ci_iluvatar.sh
+          "

requirements_iluvatar.txt

@@ -1,4 +1,4 @@
-setuptools>=62.3.0,<80.0
+setuptools>=79.0.1,<80.0
 pre-commit
 yapf
 flake8

scripts/run_ci_iluvatar.sh

@@ -0,0 +1,43 @@
+#!/bin/bash
+DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+echo "$DIR"
+
+#先kill一遍
+ps -efww | grep -E 'run_ernie300B_4layer' | grep -v grep | awk '{print $2}' | xargs kill -9 || true
+ixsmi -r
+
+export LD_PRELOAD=/usr/local/corex/lib64/libcuda.so.1
+ln -sf /usr/local/bin/python3 /usr/local/bin/python
+echo "pip requirements"
+python -m pip install -r requirements_iluvatar.txt
+echo "uninstall org"
+python -m pip uninstall paddlepaddle -y
+python -m pip uninstall paddle-iluvatar-gpu -y
+python -m pip install paddlepaddle==3.1.0a0 -i https://www.paddlepaddle.org.cn/packages/stable/cpu/
+# TODO: Change to open access URL
+# python -m pip install --pre paddle-iluvatar-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/ixuca/
+python -m pip install /data1/fastdeploy/packages/paddle_iluvatar_gpu-0.0.0-cp310-cp310-linux_x86_64.whl
+# Patch, remove if image updated
+cp /data1/fastdeploy/packages/cusolver.h /usr/local/lib/python3.10/site-packages/paddle/include/paddle/phi/backends/dynload/cusolver.h
+echo "build whl"
+bash build.sh || exit 1
+
+unset http_proxy
+unset https_proxy
+unset no_proxy
+
+rm -rf log/*
+export INFERENCE_MSG_QUEUE_ID=232132
+export FD_DEBUG=1
+export PADDLE_XCCL_BACKEND=iluvatar_gpu
+python test/ci_use/iluvatar_UT/run_ernie300B_4layer.py
+exit_code=$?
+echo exit_code is ${exit_code}
+
+ps -efww | grep -E 'run_ernie300B_4layer' | grep -v grep | awk '{print $2}' | xargs kill -9 || true
+
+if [ ${exit_code} -ne 0 ]; then
+    echo "log/workerlog.0"
+    cat log/workerlog.0
+    exit 1
+fi

test/ci_use/iluvatar_UT/run_ernie300B_4layer.py

@@ -0,0 +1,16 @@
+from fastdeploy import LLM, SamplingParams
+
+prompts = [
+    "Hello, my name is",
+]
+
+# 采样参数
+sampling_params = SamplingParams(temperature=0.8, top_p=0.00001, max_tokens=16)
+
+# 加载模型
+llm = LLM(model="/data1/fastdeploy/ERNIE_300B_4L", tensor_parallel_size=16, max_model_len=8192, static_decode_blocks=0, quantization='wint8', block_size=16)
+
+# 批量进行推理（llm内部基于资源情况进行请求排队、动态插入处理）
+outputs = llm.generate(prompts, sampling_params)
+
+assert outputs[0].outputs.token_ids==[23768, 97000, 47814, 59335, 68170, 183, 49080, 94717, 82966, 99140, 31615, 51497, 94851, 60764, 10889, 2]