forked from huggingface/transformers
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathconfig.yml
469 lines (447 loc) · 18.8 KB
/
config.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
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
version: 2.1
orbs:
gcp-gke: circleci/[email protected]
go: circleci/[email protected]
# TPU REFERENCES
references:
checkout_ml_testing: &checkout_ml_testing
run:
name: Checkout ml-testing-accelerators
command: |
git clone https://github.com/GoogleCloudPlatform/ml-testing-accelerators.git
cd ml-testing-accelerators
git fetch origin 5e88ac24f631c27045e62f0e8d5dfcf34e425e25:stable
git checkout stable
build_push_docker: &build_push_docker
run:
name: Configure Docker
command: |
gcloud --quiet auth configure-docker
cd docker/transformers-pytorch-tpu
if [ -z "$CIRCLE_PR_NUMBER" ]; then docker build --tag "$GCR_IMAGE_PATH:$CIRCLE_WORKFLOW_JOB_ID" -f Dockerfile --build-arg "TEST_IMAGE=1" . ; else docker build --tag "$GCR_IMAGE_PATH:$CIRCLE_WORKFLOW_JOB_ID" -f Dockerfile --build-arg "TEST_IMAGE=1" --build-arg "GITHUB_REF=pull/$CIRCLE_PR_NUMBER/head" . ; fi
docker push "$GCR_IMAGE_PATH:$CIRCLE_WORKFLOW_JOB_ID"
deploy_cluster: &deploy_cluster
run:
name: Deploy the job on the kubernetes cluster
command: |
go get github.com/google/go-jsonnet/cmd/jsonnet && \
export PATH=$PATH:$HOME/go/bin && \
kubectl create -f docker/transformers-pytorch-tpu/dataset.yaml || true && \
job_name=$(jsonnet -J ml-testing-accelerators/ docker/transformers-pytorch-tpu/bert-base-cased.jsonnet --ext-str image=$GCR_IMAGE_PATH --ext-str image-tag=$CIRCLE_WORKFLOW_JOB_ID | kubectl create -f -) && \
job_name=${job_name#job.batch/} && \
job_name=${job_name% created} && \
echo "Waiting on kubernetes job: $job_name" && \
i=0 && \
# 30 checks spaced 30s apart = 900s total.
max_checks=30 && \
status_code=2 && \
# Check on the job periodically. Set the status code depending on what
# happened to the job in Kubernetes. If we try max_checks times and
# still the job hasn't finished, give up and return the starting
# non-zero status code.
while [ $i -lt $max_checks ]; do ((i++)); if kubectl get jobs $job_name -o jsonpath='Failed:{.status.failed}' | grep "Failed:1"; then status_code=1 && break; elif kubectl get jobs $job_name -o jsonpath='Succeeded:{.status.succeeded}' | grep "Succeeded:1" ; then status_code=0 && break; else echo "Job not finished yet"; fi; sleep 30; done && \
echo "Done waiting. Job status code: $status_code" && \
pod_name=$(kubectl get po -l controller-uid=`kubectl get job $job_name -o "jsonpath={.metadata.labels.controller-uid}"` | awk 'match($0,!/NAME/) {print $1}') && \
echo "GKE pod name: $pod_name" && \
kubectl logs -f $pod_name --container=train
echo "Done with log retrieval attempt." && \
gcloud container images delete "$GCR_IMAGE_PATH:$CIRCLE_WORKFLOW_JOB_ID" --force-delete-tags && \
exit $status_code
delete_gke_jobs: &delete_gke_jobs
run:
name: Delete GKE Jobs
command: |
# Match jobs whose age matches patterns like '1h' or '1d', i.e. any job
# that has been around longer than 1hr. First print all columns for
# matches, then execute the delete.
kubectl get job | awk 'match($4,/[0-9]+[dh]/) {print $0}'
kubectl delete job $(kubectl get job | awk 'match($4,/[0-9]+[dh]/) {print $1}')
jobs:
run_tests_torch_and_tf:
working_directory: ~/transformers
docker:
- image: circleci/python:3.6
environment:
OMP_NUM_THREADS: 1
resource_class: xlarge
parallelism: 1
steps:
- checkout
- restore_cache:
keys:
- v0.4-torch_and_tf-{{ checksum "setup.py" }}
- v0.4-{{ checksum "setup.py" }}
- run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev
- run: pip install --upgrade pip
- run: pip install .[sklearn,tf-cpu,torch,testing,sentencepiece,speech]
- run: pip install tapas torch-scatter -f https://pytorch-geometric.com/whl/torch-1.8.0+cpu.html
- save_cache:
key: v0.4-{{ checksum "setup.py" }}
paths:
- '~/.cache/pip'
- run: RUN_PT_TF_CROSS_TESTS=1 python -m pytest -n 8 --dist=loadfile -rA -s --make-reports=tests_torch_and_tf ./tests/ -m is_pt_tf_cross_test --durations=0 | tee tests_output.txt
- store_artifacts:
path: ~/transformers/tests_output.txt
- store_artifacts:
path: ~/transformers/reports
run_tests_torch_and_flax:
working_directory: ~/transformers
docker:
- image: circleci/python:3.6
environment:
OMP_NUM_THREADS: 1
resource_class: xlarge
parallelism: 1
steps:
- checkout
- restore_cache:
keys:
- v0.4-torch_and_flax-{{ checksum "setup.py" }}
- v0.4-{{ checksum "setup.py" }}
- run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev
- run: pip install --upgrade pip
- run: pip install .[sklearn,flax,torch,testing,sentencepiece,speech]
- run: pip install tapas torch-scatter -f https://pytorch-geometric.com/whl/torch-1.8.0+cpu.html
- save_cache:
key: v0.4-{{ checksum "setup.py" }}
paths:
- '~/.cache/pip'
- run: RUN_PT_FLAX_CROSS_TESTS=1 python -m pytest -n 8 --dist=loadfile -rA -s --make-reports=tests_torch_and_flax ./tests/ -m is_pt_flax_cross_test --durations=0 | tee tests_output.txt
- store_artifacts:
path: ~/transformers/tests_output.txt
- store_artifacts:
path: ~/transformers/reports
run_tests_torch:
working_directory: ~/transformers
docker:
- image: circleci/python:3.7
environment:
OMP_NUM_THREADS: 1
resource_class: xlarge
parallelism: 1
steps:
- checkout
- restore_cache:
keys:
- v0.4-torch-{{ checksum "setup.py" }}
- v0.4-{{ checksum "setup.py" }}
- run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev
- run: pip install --upgrade pip
- run: pip install .[sklearn,torch,testing,sentencepiece,speech]
- run: pip install tapas torch-scatter -f https://pytorch-geometric.com/whl/torch-1.8.0+cpu.html
- save_cache:
key: v0.4-torch-{{ checksum "setup.py" }}
paths:
- '~/.cache/pip'
- run: python -m pytest -n 8 --dist=loadfile -s --make-reports=tests_torch ./tests/ | tee tests_output.txt
- store_artifacts:
path: ~/transformers/tests_output.txt
- store_artifacts:
path: ~/transformers/reports
run_tests_tf:
working_directory: ~/transformers
docker:
- image: circleci/python:3.7
environment:
OMP_NUM_THREADS: 1
resource_class: xlarge
parallelism: 1
steps:
- checkout
- restore_cache:
keys:
- v0.4-tf-{{ checksum "setup.py" }}
- v0.4-{{ checksum "setup.py" }}
- run: pip install --upgrade pip
- run: pip install .[sklearn,tf-cpu,testing,sentencepiece]
- save_cache:
key: v0.4-tf-{{ checksum "setup.py" }}
paths:
- '~/.cache/pip'
- run: python -m pytest -n 8 --dist=loadfile -rA -s --make-reports=tests_tf ./tests/ | tee tests_output.txt
- store_artifacts:
path: ~/transformers/tests_output.txt
- store_artifacts:
path: ~/transformers/reports
run_tests_flax:
working_directory: ~/transformers
docker:
- image: circleci/python:3.7
environment:
OMP_NUM_THREADS: 1
resource_class: xlarge
parallelism: 1
steps:
- checkout
- restore_cache:
keys:
- v0.4-flax-{{ checksum "setup.py" }}
- v0.4-{{ checksum "setup.py" }}
- run: pip install --upgrade pip
- run: sudo pip install .[flax,testing,sentencepiece]
- save_cache:
key: v0.4-flax-{{ checksum "setup.py" }}
paths:
- '~/.cache/pip'
- run: python -m pytest -n 8 --dist=loadfile -rA -s --make-reports=tests_flax ./tests/ | tee tests_output.txt
- store_artifacts:
path: ~/transformers/tests_output.txt
- store_artifacts:
path: ~/transformers/reports
run_tests_pipelines_torch:
working_directory: ~/transformers
docker:
- image: circleci/python:3.7
environment:
OMP_NUM_THREADS: 1
resource_class: xlarge
parallelism: 1
steps:
- checkout
- restore_cache:
keys:
- v0.4-torch-{{ checksum "setup.py" }}
- v0.4-{{ checksum "setup.py" }}
- run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev
- run: pip install --upgrade pip
- run: pip install .[sklearn,torch,testing,sentencepiece,speech]
- run: pip install tapas torch-scatter -f https://pytorch-geometric.com/whl/torch-1.8.0+cpu.html
- save_cache:
key: v0.4-torch-{{ checksum "setup.py" }}
paths:
- '~/.cache/pip'
- run: RUN_PIPELINE_TESTS=1 python -m pytest -n 8 --dist=loadfile -rA -s --make-reports=tests_pipelines_torch -m is_pipeline_test ./tests/ | tee tests_output.txt
- store_artifacts:
path: ~/transformers/tests_output.txt
- store_artifacts:
path: ~/transformers/reports
run_tests_pipelines_tf:
working_directory: ~/transformers
docker:
- image: circleci/python:3.7
environment:
OMP_NUM_THREADS: 1
resource_class: xlarge
parallelism: 1
steps:
- checkout
- restore_cache:
keys:
- v0.4-tf-{{ checksum "setup.py" }}
- v0.4-{{ checksum "setup.py" }}
- run: pip install --upgrade pip
- run: pip install .[sklearn,tf-cpu,testing,sentencepiece]
- save_cache:
key: v0.4-tf-{{ checksum "setup.py" }}
paths:
- '~/.cache/pip'
- run: RUN_PIPELINE_TESTS=1 python -m pytest -n 8 --dist=loadfile -rA -s --make-reports=tests_pipelines_tf ./tests/ -m is_pipeline_test | tee tests_output.txt
- store_artifacts:
path: ~/transformers/tests_output.txt
- store_artifacts:
path: ~/transformers/reports
run_tests_custom_tokenizers:
working_directory: ~/transformers
docker:
- image: circleci/python:3.7
environment:
RUN_CUSTOM_TOKENIZERS: yes
steps:
- checkout
- restore_cache:
keys:
- v0.4-custom_tokenizers-{{ checksum "setup.py" }}
- v0.4-{{ checksum "setup.py" }}
- run: pip install --upgrade pip
- run: pip install .[ja,testing,sentencepiece]
- run: python -m unidic download
- save_cache:
key: v0.4-custom_tokenizers-{{ checksum "setup.py" }}
paths:
- '~/.cache/pip'
- run: python -m pytest -s --make-reports=tests_custom_tokenizers ./tests/test_tokenization_bert_japanese.py | tee tests_output.txt
- store_artifacts:
path: ~/transformers/tests_output.txt
- store_artifacts:
path: ~/transformers/reports
run_examples_torch:
working_directory: ~/transformers
docker:
- image: circleci/python:3.6
environment:
OMP_NUM_THREADS: 1
resource_class: xlarge
parallelism: 1
steps:
- checkout
- restore_cache:
keys:
- v0.4-torch_examples-{{ checksum "setup.py" }}
- v0.4-{{ checksum "setup.py" }}
- run: pip install --upgrade pip
- run: pip install .[sklearn,torch,sentencepiece,testing]
- run: pip install -r examples/_tests_requirements.txt
- save_cache:
key: v0.4-torch_examples-{{ checksum "setup.py" }}
paths:
- '~/.cache/pip'
- run: python -m pytest -n 8 --dist=loadfile -s --make-reports=examples_torch ./examples/ | tee examples_output.txt
- store_artifacts:
path: ~/transformers/examples_output.txt
- store_artifacts:
path: ~/transformers/reports
run_tests_git_lfs:
working_directory: ~/transformers
docker:
- image: circleci/python:3.7
resource_class: xlarge
parallelism: 1
steps:
- checkout
- run: sudo apt-get install git-lfs
- run: |
git config --global user.email "[email protected]"
git config --global user.name "ci"
- run: pip install --upgrade pip
- run: pip install .[testing]
- run: RUN_GIT_LFS_TESTS=1 python -m pytest -sv ./tests/test_hf_api.py -k "HfLargefilesTest"
build_doc:
working_directory: ~/transformers
docker:
- image: circleci/python:3.6
steps:
- checkout
- restore_cache:
keys:
- v0.4-build_doc-{{ checksum "setup.py" }}
- v0.4-{{ checksum "setup.py" }}
- run: sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev
- run: pip install --upgrade pip
- run: pip install ."[all, docs]"
- save_cache:
key: v0.4-build_doc-{{ checksum "setup.py" }}
paths:
- '~/.cache/pip'
- run: cd docs && make html SPHINXOPTS="-W -j 4"
- store_artifacts:
path: ./docs/_build
deploy_doc:
working_directory: ~/transformers
docker:
- image: circleci/python:3.6
steps:
- add_ssh_keys:
fingerprints:
- "5b:7a:95:18:07:8c:aa:76:4c:60:35:88:ad:60:56:71"
- checkout
- restore_cache:
keys:
- v0.4-deploy_doc-{{ checksum "setup.py" }}
- v0.4-{{ checksum "setup.py" }}
- run: pip install ."[all,docs]"
- save_cache:
key: v0.4-deploy_doc-{{ checksum "setup.py" }}
paths:
- '~/.cache/pip'
- run: ./.circleci/deploy.sh
check_code_quality:
working_directory: ~/transformers
docker:
- image: circleci/python:3.6
resource_class: medium
parallelism: 1
steps:
- checkout
- restore_cache:
keys:
- v0.4-code_quality-{{ checksum "setup.py" }}
- v0.4-{{ checksum "setup.py" }}
- run: pip install --upgrade pip
- run: pip install isort
- run: pip install .[all,quality]
- save_cache:
key: v0.4-code_quality-{{ checksum "setup.py" }}
paths:
- '~/.cache/pip'
- run: black --check examples tests src utils
- run: isort --check-only examples tests src utils
- run: python utils/custom_init_isort.py --check_only
- run: flake8 examples tests src utils
- run: python utils/style_doc.py src/transformers docs/source --max_len 119 --check_only
- run: python utils/check_copies.py
- run: python utils/check_table.py
- run: python utils/check_dummies.py
- run: python utils/check_repo.py
check_repository_consistency:
working_directory: ~/transformers
docker:
- image: circleci/python:3.6
resource_class: small
parallelism: 1
steps:
- checkout
- run: pip install requests
- run: python ./utils/link_tester.py
# TPU JOBS
run_examples_tpu:
docker:
- image: circleci/python:3.6
environment:
OMP_NUM_THREADS: 1
resource_class: xlarge
parallelism: 1
steps:
- checkout
- go/install
- *checkout_ml_testing
- gcp-gke/install
- gcp-gke/update-kubeconfig-with-credentials:
cluster: $GKE_CLUSTER
perform-login: true
- setup_remote_docker
- *build_push_docker
- *deploy_cluster
cleanup-gke-jobs:
docker:
- image: circleci/python:3.6
steps:
- gcp-gke/install
- gcp-gke/update-kubeconfig-with-credentials:
cluster: $GKE_CLUSTER
perform-login: true
- *delete_gke_jobs
workflow_filters: &workflow_filters
filters:
branches:
only:
- master
workflows:
version: 2
build_and_test:
jobs:
- check_code_quality
- check_repository_consistency
- run_examples_torch
- run_tests_custom_tokenizers
- run_tests_torch_and_tf
- run_tests_torch_and_flax
- run_tests_torch
- run_tests_tf
- run_tests_flax
- run_tests_pipelines_torch
- run_tests_pipelines_tf
- run_tests_git_lfs
- build_doc
- deploy_doc: *workflow_filters
# tpu_testing_jobs:
# triggers:
# - schedule:
# # Set to run at the first minute of every hour.
# cron: "0 8 * * *"
# filters:
# branches:
# only:
# - master
# jobs:
# - cleanup-gke-jobs
# - run_examples_tpu