-
Notifications
You must be signed in to change notification settings - Fork 25
329 lines (321 loc) · 16.7 KB
/
nightly_ondemand_whl.yml
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
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
name: Torch Nightly WHL Tests
on:
schedule:
# GMT+8 21:00 every workday
- cron: '0 14 * * 0-4'
# GMT+8 0:00 Saturday
- cron: '0 17 * * 5'
workflow_dispatch:
inputs:
pytorch:
required: false
type: string
default: 'main'
description: Pytorch branch/commit
ut:
required: false
type: string
default: 'torch_xpu'
description: UT scope. `op_example,op_extended,op_ut,torch_xpu`. Delimiter is comma
suite:
required: true
type: string
default: 'huggingface'
description: Dynamo benchmarks test suite. `huggingface,timm_models,torchbench`. Delimiter is comma
dt:
required: true
type: string
default: 'float32'
description: Data precision of the test. `float32,bfloat16,float16,amp_bf16,amp_fp16`. Delimiter is comma
mode:
required: true
type: string
default: 'inference'
description: Test mode. `inference,training`. Delimiter is comma
scenario:
required: true
type: string
default: 'accuracy'
description: Test scenario. `accuracy,performance`. Delimiter is comma
model:
required: false
type: string
default: ''
description: Model. Will only run this one mode if set
python:
required: false
type: string
default: '3.10'
description: Python version
permissions: read-all
concurrency:
group: ${{ github.workflow }}-${{ github.sha }}-${{ github.event_name }}-${{ inputs.pytorch }}-${{ inputs.ut }}-${{ inputs.suite }}-${{ inputs.dt }}-${{ inputs.mode }}-${{ inputs.scenario }}-${{ inputs.model }}-${{ inputs.python }}
cancel-in-progress: true
jobs:
Linux-Nightly-Ondemand-UT-WHL-Tests:
if: github.event_name == 'schedule' || ${{ inputs.ut_suite }}
uses: ./.github/workflows/_linux_ut.yml
with:
ut: ${{ github.event_name == 'schedule' && 'op_example,op_extended,op_ut,torch_xpu' || inputs.ut }}
python: ${{ github.event_name == 'schedule' && '3.10' || inputs.python }}
pytorch: nightly_wheel
runner: linux.idc.xpu
Linux-Nightly-Ondemand-E2E-WHL-Tests:
runs-on: pvc_e2e
# Don't run on forked repos
if: github.repository_owner == 'intel'
timeout-minutes: 3600
env:
pytorch: ${{ github.event_name == 'schedule' && 'main' || inputs.pytorch }}
ut: ${{ github.event_name == 'schedule' && 'op_example,op_extended,op_ut,torch_xpu' || inputs.ut }}
python: ${{ github.event_name == 'schedule' && '3.10' || inputs.python }}
outputs:
TORCH_BRANCH_ID: ${{ steps.pinned.outputs.TORCH_BRANCH_ID }}
TORCH_COMMIT_ID: ${{ steps.pinned.outputs.TORCH_COMMIT_ID }}
DRIVER_VERSION: ${{ steps.pinned.outputs.DRIVER_VERSION }}
BUNDLE_VERSION: ${{ steps.pinned.outputs.BUNDLE_VERSION }}
OS_PRETTY_NAME: ${{ steps.pinned.outputs.OS_PRETTY_NAME }}
GCC_VERSION: ${{ steps.pinned.outputs.GCC_VERSION }}
TORCHBENCH_COMMIT_ID: ${{ steps.pinned.outputs.TORCHBENCH_COMMIT_ID }}
TORCHVISION_COMMIT_ID: ${{ steps.pinned.outputs.TORCHVISION_COMMIT_ID }}
TORCHAUDIO_COMMIT_ID: ${{ steps.pinned.outputs.TORCHAUDIO_COMMIT_ID }}
TRANSFORMERS_VERSION: ${{ steps.pinned.outputs.TRANSFORMERS_VERSION }}
TIMM_COMMIT_ID: ${{ steps.pinned.outputs.TIMM_COMMIT_ID }}
TRITON_COMMIT_ID: ${{ steps.pinned.outputs.TRITON_COMMIT_ID }}
TIMEOUT_MODELS: ${{ steps.summary.outputs.TIMEOUT_MODELS }}
steps:
- name: Checkout torch-xpu-ops
uses: actions/checkout@v4
- name: Prepare Conda ENV
run: |
which conda && conda clean -ay
conda remove --all -y -n e2e_ci || rm -rf $(dirname ${CONDA_EXE})/../envs/e2e_ci
conda create -n e2e_ci python=${{ env.python }} cmake ninja -y
source activate e2e_ci
pip install mkl-static mkl-include
pip install pandas scipy tqdm
- name: Prepare Stock Pytorch
run: |
pwd
source activate e2e_ci
source .github/scripts/env.sh
cd ../ && rm -rf pytorch
git clone https://github.com/pytorch/pytorch pytorch
cd pytorch && git checkout $(echo ${{ env.pytorch }} |awk '{print $1}')
# apply PRs for stock pytorch
pip install requests
python ../torch-xpu-ops/.github/scripts/apply_torch_pr.py
git status && git show -s
pip install -r requirements.txt
cd ../
pip install torch torchvision torchaudio --pre --index-url https://download.pytorch.org/whl/nightly/xpu
- name: Identify pinned versions
id: pinned
run: |
source activate e2e_ci
source .github/scripts/env.sh
cd ../pytorch
echo "TRITON_COMMIT_ID=$(pip list |grep -w pytorch-triton-xpu |awk '{print $2}')" |tee -a "${GITHUB_OUTPUT}" >> "${GITHUB_ENV}"
echo "TORCH_BRANCH_ID=nightly" |tee -a "${GITHUB_OUTPUT}" >> "${GITHUB_ENV}"
echo "TORCH_COMMIT_ID=$(pip list |grep -w torch |awk '{print $2}')" |tee -a "${GITHUB_OUTPUT}" >> "${GITHUB_ENV}"
echo "TORCHBENCH_COMMIT_ID=$(<third_party/torch-xpu-ops/.github/ci_commit_pins/torchbench.txt)" |tee -a "${GITHUB_OUTPUT}" >> "${GITHUB_ENV}"
echo "TORCHVISION_COMMIT_ID=$(pip list |grep -w torchvision |awk '{print $2}')" |tee -a "${GITHUB_OUTPUT}" >> "${GITHUB_ENV}"
echo "TORCHAUDIO_COMMIT_ID=$(pip list |grep -w torchaudio |awk '{print $2}')" |tee -a "${GITHUB_OUTPUT}" >> "${GITHUB_ENV}"
echo "TRANSFORMERS_VERSION=$(<.ci/docker/ci_commit_pins/huggingface.txt)" |tee -a "${GITHUB_OUTPUT}" >> "${GITHUB_ENV}"
echo "TIMM_COMMIT_ID=$(<.ci/docker/ci_commit_pins/timm.txt)" |tee -a "${GITHUB_OUTPUT}" >> "${GITHUB_ENV}"
echo "MODEL_ONLY_NAME=${{ inputs.model }}" |tee -a "${GITHUB_OUTPUT}" >> "${GITHUB_ENV}"
echo "DRIVER_VERSION=$(dkms status 2>&1 |grep 'intel-i915-dkms' |sed 's/.*\///;s/,.*//')" |tee -a "${GITHUB_OUTPUT}" >> "${GITHUB_ENV}"
echo "BUNDLE_VERSION=$(dpcpp --version 2>&1 |grep 'DPC++/C++' |sed 's/.*(//;s/).*//')" |tee -a "${GITHUB_OUTPUT}" >> "${GITHUB_ENV}"
. /etc/os-release
echo "OS_PRETTY_NAME=${PRETTY_NAME}" |tee -a "${GITHUB_OUTPUT}" >> "${GITHUB_ENV}"
echo "GCC_VERSION=$(gcc -dumpversion)" |tee -a "${GITHUB_OUTPUT}" >> "${GITHUB_ENV}"
echo ${GITHUB_ENV}
- name: Show GITHUB_ENV
run: |
echo "$GITHUB_ENV"
rm -rf ../pytorch/inductor_log
rm -rf /tmp/torchinductor_*
# Nihglty launch
- name: Nightly Huggingface FP32/BF16/FP16 Inference & Training Accuracy Test
if: github.event_name == 'schedule' && github.event.schedule == '0 14 * * 0-4'
uses: ./.github/actions/inductor-xpu-e2e-test
with:
suite: huggingface
env_prepare: true
dt: float32,bfloat16,float16,amp_bf16,amp_fp16
mode: inference,training
scenario: accuracy
pytorch: nightly_wheel
hf_token: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
- name: Nightly Torchbench BF16 Training Accuracy Test
if: github.event_name == 'schedule' && github.event.schedule == '0 14 * * 0-4'
uses: ./.github/actions/inductor-xpu-e2e-test
with:
suite: torchbench
dt: bfloat16
mode: training
scenario: accuracy
pytorch: nightly_wheel
env_prepare: true
hf_token: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
- name: Nightly Timm_models FP16 Training Accuracy Test
if: github.event_name == 'schedule' && github.event.schedule == '0 14 * * 0-4'
uses: ./.github/actions/inductor-xpu-e2e-test
with:
suite: timm_models
dt: float16
mode: training
scenario: accuracy
pytorch: nightly_wheel
env_prepare: true
hf_token: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
# Weekly launch
- name: Weekly Huggingface Full Test
if: github.event_name == 'schedule' && github.event.schedule == '0 17 * * 5'
uses: ./.github/actions/inductor-xpu-e2e-test
with:
suite: huggingface
env_prepare: true
dt: float32,bfloat16,float16,amp_bf16,amp_fp16
mode: inference,training
scenario: accuracy,performance
pytorch: nightly_wheel
hf_token: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
- name: Weekly Torchbench Full Test
if: github.event_name == 'schedule' && github.event.schedule == '0 17 * * 5'
uses: ./.github/actions/inductor-xpu-e2e-test
with:
suite: torchbench
env_prepare: true
dt: float32,bfloat16,float16,amp_bf16,amp_fp16
mode: inference,training
scenario: accuracy,performance
pytorch: nightly_wheel
hf_token: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
- name: Weekly Timm_models Full Test
if: github.event_name == 'schedule' && github.event.schedule == '0 17 * * 5'
uses: ./.github/actions/inductor-xpu-e2e-test
with:
suite: timm_models
env_prepare: true
dt: float32,bfloat16,float16,amp_bf16,amp_fp16
mode: inference,training
scenario: accuracy,performance
pytorch: nightly_wheel
hf_token: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
# On-demand launch
- name: OnDemand Test (${{ inputs.suite }} ${{ inputs.dt }} ${{ inputs.mode }} ${{ inputs.scenario }})
if: github.event_name != 'schedule'
uses: ./.github/actions/inductor-xpu-e2e-test
with:
suite: ${{ inputs.suite }}
env_prepare: true
dt: ${{ inputs.dt }}
mode: ${{ inputs.mode }}
scenario: ${{ inputs.scenario }}
pytorch: nightly_wheel
hf_token: ${{ secrets.HUGGING_FACE_HUB_TOKEN }}
- name: Summarize archieve files
id: summary
if: ${{ ! cancelled() }}
run: |
rm -rf ${{ github.workspace }}/upload_files
cp -r ${{ github.workspace }}/../pytorch/inductor_log ${{ github.workspace }}/upload_files
mkdir -p ${{ github.workspace }}/../../_backup/ && cd ${{ github.workspace }}/../../_backup/
find . -type f -name "*.tgz" -mtime +3 -delete # delete files older than 3 days
tar zcf xpu-inductor-${GITHUB_RUN_ID}.tgz -C ${{ github.workspace }}/upload_files/ . # backup logs
failed_models=$(grep "Real failed models: *[1-9]" ${{ github.workspace }}/upload_files/summary_accuracy.log |wc -l || true)
timeout_models=$(grep "timeout models: *[1-9]" ${{ github.workspace }}/upload_files/summary_accuracy.log |wc -l || true)
if [ ${timeout_models} -ne 0 ];then
TIMEOUT_MODELS="$(
grep -B 1 "timeout models: [1-9]" ${{ github.workspace }}/upload_files/summary_accuracy.log
)"
echo "TIMEOUT_MODELS=\"${TIMEOUT_MODELS}\"" |awk '{printf("%s\\n", $0)}' |sed 's/\\n$//' |tee -a "${GITHUB_OUTPUT}"
fi
if [ ${failed_models} -ne 0 ];then
grep -E "Real failed models: [1-9]|Summary for" ${{ github.workspace }}/upload_files/summary_accuracy.log |grep "failed" -B 1
exit 1
fi
- name: Upload Inductor XPU E2E Data
if: ${{ ! cancelled() }}
uses: actions/upload-artifact@v4
with:
name: Inductor-XPU-E2E-Data-${{ github.event.pull_request.number || github.sha }}
path: ${{ github.workspace }}/upload_files
Tests-Failure-And-Report:
if: ${{ ! cancelled() }}
runs-on: [ self-hosted, Linux ]
permissions:
issues: write
env:
GH_TOKEN: ${{ github.token }}
python: ${{ github.event_name == 'schedule' && '3.10' || inputs.python }}
needs: Linux-Nightly-Ondemand-E2E-WHL-Tests
steps:
- name: Report github issue for XPU OPS nightly
if: github.repository_owner == 'intel'
run: |
set -xe
# Test env
build_url="${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}"
repo="${{ github.repository }}"
TORCH_BRANCH_ID="${{ needs.Linux-Nightly-Ondemand-E2E-WHL-Tests.outputs.TORCH_BRANCH_ID }}"
TORCH_COMMIT_ID="${{ needs.Linux-Nightly-Ondemand-E2E-WHL-Tests.outputs.TORCH_COMMIT_ID }}"
DRIVER_VERSION="${{ needs.Linux-Nightly-Ondemand-E2E-WHL-Tests.outputs.DRIVER_VERSION }}"
BUNDLE_VERSION="${{ needs.Linux-Nightly-Ondemand-E2E-WHL-Tests.outputs.BUNDLE_VERSION }}"
OS_PRETTY_NAME="${{ needs.Linux-Nightly-Ondemand-E2E-WHL-Tests.outputs.OS_PRETTY_NAME }}"
GCC_VERSION="${{ needs.Linux-Nightly-Ondemand-E2E-WHL-Tests.outputs.GCC_VERSION }}"
TORCHBENCH_COMMIT_ID="${{ needs.Linux-Nightly-Ondemand-E2E-WHL-Tests.outputs.TORCHBENCH_COMMIT_ID }}"
TORCHVISION_COMMIT_ID="${{ needs.Linux-Nightly-Ondemand-E2E-WHL-Tests.outputs.TORCHVISION_COMMIT_ID }}"
TORCHAUDIO_COMMIT_ID="${{ needs.Linux-Nightly-Ondemand-E2E-WHL-Tests.outputs.TORCHAUDIO_COMMIT_ID }}"
TRANSFORMERS_VERSION="${{ needs.Linux-Nightly-Ondemand-E2E-WHL-Tests.outputs.TRANSFORMERS_VERSION }}"
TIMM_COMMIT_ID="${{ needs.Linux-Nightly-Ondemand-E2E-WHL-Tests.outputs.TIMM_COMMIT_ID }}"
TRITON_COMMIT_ID="${{ needs.Linux-Nightly-Ondemand-E2E-WHL-Tests.outputs.TRITON_COMMIT_ID }}"
TIMEOUT_MODELS="${{ needs.Linux-Nightly-Ondemand-E2E-WHL-Tests.outputs.TIMEOUT_MODELS }}"
# Test status
if [ "${{ needs.Linux-Nightly-Ondemand-E2E-WHL-Tests.result }}" == "success" ];then
test_status=Success
elif [ "${{ needs.Linux-Nightly-Ondemand-E2E-WHL-Tests.result }}" == "failure" ];then
test_status=Failure
cc_comment="CC ${{ secrets.NIGHTLY_EMAIL_LIST }}"
else
test_status=None
exit 0
fi
# Test Type
if [ "${GITHUB_EVENT_NAME}" == "workflow_dispatch" ];then
test_type="On-demand"
test_issue_id=426
cc_comment="CC @${GITHUB_TRIGGERING_ACTOR}"
elif [ "${{ github.event.schedule }}" == "0 17 * * 5" ];then
test_type="Weekly"
test_issue_id=432
else
test_type="Nightly"
test_issue_id=432
fi
# Test report
echo -e "**${test_status}** $test_type WHL Test on $(date +'%F'), See: $build_url\n" > ${{ github.workspace }}/report.txt
printf "Torch-xpu-ops | PyTorch | Triton\n--- | --- | ---\n${GITHUB_WORKFLOW_SHA:0:7} on ${GITHUB_REF_NAME} | " >> ${{ github.workspace }}/report.txt
printf "[${TORCH_COMMIT_ID:0:7}](https://github.com/pytorch/pytorch/commit/${TORCH_COMMIT_ID:0:7}) on $TORCH_BRANCH_ID | " >> ${{ github.workspace }}/report.txt
echo -e "[${TRITON_COMMIT_ID:0:7}](https://github.com/intel/intel-xpu-backend-for-triton/commit/${TRITON_COMMIT_ID:0:7}) \n" >> ${{ github.workspace }}/report.txt
printf "Transformers | Timm | Torchbench | Torchvision | Torchaudio\n--- | --- | --- | --- | ---\n" >> ${{ github.workspace }}/report.txt
printf "[${TRANSFORMERS_VERSION:0:7}](https://github.com/huggingface/transformers/commit/${TRANSFORMERS_VERSION:0:7}) | " >> ${{ github.workspace }}/report.txt
printf "[${TIMM_COMMIT_ID:0:7}](https://github.com/huggingface/pytorch-image-models/commit/${TIMM_COMMIT_ID:0:7}) | " >> ${{ github.workspace }}/report.txt
printf "[${TORCHBENCH_COMMIT_ID:0:7}](https://github.com/pytorch/benchmark/commit/${TORCHBENCH_COMMIT_ID:0:7}) | " >> ${{ github.workspace }}/report.txt
printf "[${TORCHVISION_COMMIT_ID:0:7}](https://github.com/pytorch/vision/commit/${TORCHVISION_COMMIT_ID:0:7}) | " >> ${{ github.workspace }}/report.txt
echo -e "[${TORCHAUDIO_COMMIT_ID:0:7}](https://github.com/pytorch/audio/commit/${TORCHAUDIO_COMMIT_ID:0:7}) \n" >> ${{ github.workspace }}/report.txt
printf "Device | OS | GCC | Python | Driver(DKMS) | Bundle(DPCPP)\n--- | --- | --- | --- | --- | ---\n" >> ${{ github.workspace }}/report.txt
echo -e "$RUNNER_NAME | $OS_PRETTY_NAME | $GCC_VERSION | ${{ env.python }} | $DRIVER_VERSION| $BUNDLE_VERSION \n" >> ${{ github.workspace }}/report.txt
if [ "${GITHUB_EVENT_NAME}" == "workflow_dispatch" ];then
test_scope="${{ inputs.suite }}/${{ inputs.dt }}/${{ inputs.mode }}/${{ inputs.scenario }}"
if [ "${{ inputs.model }}" != "" ];then
test_scope+="; model=${{ inputs.model }}"
fi
echo -e "Inputs | $test_scope\n--- | --- \n" >> ${{ github.workspace }}/report.txt
fi
echo "$TIMEOUT_MODELS" |awk '{printf("%s\\n", $0)}' >> ${{ github.workspace }}/report.txt
echo "$cc_comment" >> ${{ github.workspace }}/report.txt
# Report
report_txt=$(cat ${{ github.workspace }}/report.txt)
gh --repo $repo issue comment $test_issue_id --body "$report_txt"