forked from PaddlePaddle/FastDeploy
-
Notifications
You must be signed in to change notification settings - Fork 0
281 lines (247 loc) · 11.9 KB
/
_base_test.yml
File metadata and controls
281 lines (247 loc) · 11.9 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
name: Base Test
description: "Run Base Tests"
on:
workflow_call:
inputs:
DOCKER_IMAGE:
description: "Build Images"
required: true
type: string
default: "ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddleqa:cuda126-py310"
FASTDEPLOY_ARCHIVE_URL:
description: "URL of the compressed FastDeploy code archive."
required: true
type: string
FASTDEPLOY_WHEEL_URL:
description: "URL of the FastDeploy Wheel."
required: true
type: string
CACHE_DIR:
description: "Cache Dir Use"
required: false
type: string
default: ""
MODEL_CACHE_DIR:
description: "Cache Dir Use"
required: false
type: string
default: ""
jobs:
base_tests:
runs-on: [self-hosted, GPU-h20-1Cards]
timeout-minutes: 60
steps:
- name: Code Prepare
shell: bash
env:
docker_image: ${{ inputs.DOCKER_IMAGE }}
fd_archive_url: ${{ inputs.FASTDEPLOY_ARCHIVE_URL }}
run: |
set -x
REPO="https://github.com/${{ github.repository }}.git"
FULL_REPO="${{ github.repository }}"
REPO_NAME="${FULL_REPO##*/}"
BASE_BRANCH="${{ github.base_ref }}"
docker pull ${docker_image}
# 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 '
CLEAN_RETRIES=3
CLEAN_COUNT=0
while [ $CLEAN_COUNT -lt $CLEAN_RETRIES ]; do
echo "Attempt $((CLEAN_COUNT+1)) to remove ${REPO_NAME}* ..."
rm -rf "${REPO_NAME}"* || true
sleep 2
# Check if anything matching ${REPO_NAME}* still exists
if ! ls "${REPO_NAME}"* >/dev/null 2>&1; then
echo "All ${REPO_NAME}* removed successfully"
break
fi
CLEAN_COUNT=$((CLEAN_COUNT + 1))
done
if ls "${REPO_NAME}"* >/dev/null 2>&1; then
echo "ERROR: Failed to clean ${REPO_NAME}* after multiple attempts"
ls -ld "${REPO_NAME}"*
exit 1
fi
'
# Download with retry and validation
MAX_RETRIES=3
RETRY_COUNT=0
while [ $RETRY_COUNT -lt $MAX_RETRIES ]; do
if wget -q --no-proxy ${fd_archive_url} && [ -f FastDeploy.tar.gz ] && [ -s FastDeploy.tar.gz ]; then
echo "Download successful, file size: $(stat -c%s FastDeploy.tar.gz) bytes"
break
else
RETRY_COUNT=$((RETRY_COUNT + 1))
echo "Download failed or file is empty, retry $RETRY_COUNT/$MAX_RETRIES..."
rm -f FastDeploy.tar.gz
sleep 2
fi
done
if [ ! -f FastDeploy.tar.gz ] || [ ! -s FastDeploy.tar.gz ]; then
echo "ERROR: Failed to download FastDeploy.tar.gz after $MAX_RETRIES attempts"
exit 1
fi
# Verify tar.gz integrity before extraction
if ! tar -tzf FastDeploy.tar.gz > /dev/null 2>&1; then
echo "ERROR: FastDeploy.tar.gz is corrupted or incomplete"
exit 1
fi
tar -xf FastDeploy.tar.gz
rm -rf FastDeploy.tar.gz
cd FastDeploy
git config --global user.name "FastDeployCI"
git config --global user.email "fastdeploy_ci@example.com"
git log -n 3 --oneline
- name: Run FastDeploy Base Tests
shell: bash
env:
docker_image: ${{ inputs.DOCKER_IMAGE }}
fastdeploy_wheel_url: ${{ inputs.FASTDEPLOY_WHEEL_URL }}
CACHE_DIR: ${{ inputs.CACHE_DIR }}
MODEL_CACHE_DIR: ${{ inputs.MODEL_CACHE_DIR }}
run: |
runner_name="${{ runner.name }}"
CARD_ID=$(echo "${runner_name}" | awk -F'-' '{print $NF}')
DEVICES=$(echo "$CARD_ID" | fold -w1 | paste -sd,)
DEVICE_PORT=$(echo "$DEVICES" | cut -d',' -f1)
FLASK_PORT=$((8068 + DEVICE_PORT * 100))
FD_API_PORT=$((8088 + DEVICE_PORT * 100))
FD_ENGINE_QUEUE_PORT=$((8058 + DEVICE_PORT * 100))
FD_METRICS_PORT=$((8078 + DEVICE_PORT * 100))
FD_CACHE_QUEUE_PORT=$((8098 + DEVICE_PORT * 100))
echo "Test ENV Parameter:"
echo "========================================================="
echo "FLASK_PORT=${FLASK_PORT}"
echo "FD_API_PORT=${FD_API_PORT}"
echo "FD_ENGINE_QUEUE_PORT=${FD_ENGINE_QUEUE_PORT}"
echo "FD_METRICS_PORT=${FD_METRICS_PORT}"
echo "FD_CACHE_QUEUE_PORT=${FD_CACHE_QUEUE_PORT}"
echo "DEVICES=${DEVICES}"
echo "========================================================="
CACHE_DIR="${CACHE_DIR:-$(dirname "$(dirname "${{ github.workspace }}")")}"
echo "CACHE_DIR is set to ${CACHE_DIR}"
if [ ! -f "${CACHE_DIR}/gitconfig" ]; then
touch "${CACHE_DIR}/gitconfig"
fi
if [ ! -d "${MODEL_CACHE_DIR}" ]; then
echo "Error: MODEL_CACHE_DIR '${MODEL_CACHE_DIR}' does not exist."
exit 1
fi
PORTS=($FLASK_PORT $FD_API_PORT $FD_ENGINE_QUEUE_PORT $FD_METRICS_PORT $FD_CACHE_QUEUE_PORT)
LOG_FILE="./port_cleanup_$(date +%Y%m%d_%H%M%S).log"
echo "==== LOG_FILE is ${LOG_FILE} ===="
echo "==== PORT CLEAN BEFORE TASK RUN ====" | tee -a $LOG_FILE
for port in "${PORTS[@]}"; do
PIDS=$(lsof -t -i :$port || true)
if [ -n "$PIDS" ]; then
echo "Port $port is occupied by PID(s): $PIDS" | tee -a $LOG_FILE
echo "$PIDS" | xargs -r kill -9
echo "Port $port cleared" | tee -a $LOG_FILE
else
echo "Port $port is free" | tee -a $LOG_FILE
fi
done
echo "==== PORT CLEAN COMPLETE ====" | tee -a $LOG_FILE
echo "========================================================="
echo "Ensuring no stale container named ${runner_name} ..."
if [ "$(docker ps -a -q -f name=${runner_name})" ]; then
echo "Removing stale container: ${runner_name}"
docker rm -f ${runner_name} || true
fi
docker run --rm --ipc=host --pid=host --net=host \
--name ${runner_name} \
-v $(pwd):/workspace \
-w /workspace \
-e fastdeploy_wheel_url=${fastdeploy_wheel_url} \
-e "FD_API_PORT=${FD_API_PORT}" \
-e "FD_ENGINE_QUEUE_PORT=${FD_ENGINE_QUEUE_PORT}" \
-e "FD_METRICS_PORT=${FD_METRICS_PORT}" \
-e "FLASK_PORT=${FLASK_PORT}" \
-e "FD_CACHE_QUEUE_PORT=${FD_CACHE_QUEUE_PORT}" \
-v "${MODEL_CACHE_DIR}:/MODELDATA" \
-v "${CACHE_DIR}/gitconfig:/etc/gitconfig:ro" \
-v "${CACHE_DIR}/.cache:/root/.cache" \
-v "${CACHE_DIR}/ConfigDir:/root/.config" \
-e TZ="Asia/Shanghai" \
--gpus '"device='"${DEVICES}"'"' ${docker_image} /bin/bash -xc '
python -m pip install --pre paddlepaddle-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/cu126/
pip config set global.index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
python -m pip install ${fastdeploy_wheel_url}
python -m pip install pytest
wget --no-proxy https://paddle-qa.bj.bcebos.com/zhengtianyu/tools/llm-deploy-linux-amd64
chmod +x ./llm-deploy-linux-amd64
./llm-deploy-linux-amd64 -python python3.10 \
-model_name ERNIE-4.5-0.3B-Paddle \
-model_path /MODELDATA \
--skip install,model
git config --global --add safe.directory /workspace/FastDeploy
cd FastDeploy
pushd tests/ce/deploy
ps -ef | grep "${FD_CACHE_QUEUE_PORT}" | grep -v grep | awk "{print \$2}" | xargs -r kill -9
ps -ef | grep "${FD_ENGINE_QUEUE_PORT}" | grep -v grep | awk "{print \$2}" | xargs -r kill -9
python3.10 deploy.py > dd.log 2>&1 &
sleep 3
curl -X POST http://0.0.0.0:${FLASK_PORT}/start \
-H "Content-Type: application/json" \
-d "{\"--model\": \"/MODELDATA/ERNIE-4.5-0.3B-Paddle\"}"
check_service() {
local timeout=${1:-90}
local url="http://localhost:${FLASK_PORT}/wait_for_infer?timeout=${timeout}"
local resp
resp=$(curl -s -X POST "$url")
if echo "$resp" | grep -q "服务启动超时"; then
exit 8
fi
}
check_service 90
popd
pushd tests/ce/server
export URL=http://localhost:${FD_API_PORT}/v1/chat/completions
export TEMPLATE=TOKEN_LOGPROB
TEST_EXIT_CODE=0
python -m pytest -sv test_base_chat.py test_compare_top_logprobs.py test_logprobs.py test_params_boundary.py test_seed_usage.py test_stream.py test_evil_cases.py test_completions.py test_return_token_ids.py test_update_weight.py || TEST_EXIT_CODE=1
curl -X POST http://0.0.0.0:${FLASK_PORT}/switch \
-H "Content-Type: application/json" \
-d "{\"--model\": \"/MODELDATA/ERNIE-4.5-0.3B-Paddle\", \"--early-stop-config\": \"{\\\"enable_early_stop\\\":true, \\\"window_size\\\":6, \\\"threshold\\\":0.93}\"}"
check_service 90
python -m pytest -sv test_repetition_early_stop.py || TEST_EXIT_CODE=1
curl -X POST http://0.0.0.0:${FLASK_PORT}/switch \
-H "Content-Type: application/json" \
-d "{ \"--model\": \"/MODELDATA/ERNIE-4.5-0.3B-Paddle\", \"--max-concurrency\": 5, \"--max-waiting-time\": 1 }"
check_service 90
python -m pytest -sv test_max_concurrency.py || TEST_EXIT_CODE=1
curl -X POST http://0.0.0.0:${FLASK_PORT}/switch \
-H "Content-Type: application/json" \
-d "{ \"--model\": \"/MODELDATA/ERNIE-4.5-0.3B-Paddle\", \"--max-concurrency\": 5000, \"--max-waiting-time\": 1 }"
check_service 90
python -m pytest -sv test_max_waiting_time.py || TEST_EXIT_CODE=1
curl -X POST http://0.0.0.0:${FLASK_PORT}/switch \
-H "Content-Type: application/json" \
-d "{\"--model\": \"/MODELDATA/ernie-4_5-21b-a3b-bf16-paddle\", \"--config\": \"ernie45t_21b_sot_wint4.yaml\", \"--enable-logprob\": \"False\"}"
check_service 360
export TEMPLATE=TOKEN_NORMAL
python -m pytest -sv test_seed_usage.py -k "not test_seed_stream" || TEST_EXIT_CODE=1
curl -X POST http://0.0.0.0:${FLASK_PORT}/switch \
-H "Content-Type: application/json" \
-d "{\"--model\": \"/MODELDATA/ernie-4_5-21b-a3b-bf16-paddle\", \"--config\": \"ernie45t_21b_cinn_wint4.yaml\", \"--enable-logprob\": \"False\"}"
check_service 360
export TEMPLATE=TOKEN_NORMAL
python -m pytest -sv test_seed_usage.py -k "not test_seed_stream" || TEST_EXIT_CODE=1
export TEMPLATE=TOKEN_NORMAL
curl -X POST http://0.0.0.0:${FLASK_PORT}/switch \
-H "Content-Type: application/json" \
-d "{\"--model\": \"/MODELDATA/ERNIE-4.5-VL-28B-A3B-Thinking\", \"--reasoning-parser\": \"ernie-45-vl-thinking\", \"--tool-call-parser\": \"ernie-45-vl-thinking\", \"--tensor-parallel-size\": 1, \"--quantization\": \"wint4\", \"--max-model-len\": 131072, \"--max-num-seqs\": 32, \"--no-enable-prefix-caching\": true}"
check_service 180
python -m pytest -sv test_prompt_ids.py || TEST_EXIT_CODE=1
popd
echo "TEST_EXIT_CODE=${TEST_EXIT_CODE}" >> /workspace/FastDeploy/exit_code.env
'
if [ -f ./FastDeploy/exit_code.env ]; then
source ./FastDeploy/exit_code.env
cat ./FastDeploy/exit_code.env >> $GITHUB_ENV
fi
echo "TEST_EXIT_CODE=${TEST_EXIT_CODE}"
exit ${TEST_EXIT_CODE}