config.yml.in 35.4 KB
Newer Older
1
2
3
4
version: 2.1

# How to test the Linux jobs:
#   - Install CircleCI local CLI: https://circleci.com/docs/2.0/local-cli/
Edward Z. Yang's avatar
Edward Z. Yang committed
5
6
7
#   - circleci config process .circleci/config.yml > gen.yml && circleci local execute -c gen.yml --job binary_linux_wheel_py3.7
#     - Replace binary_linux_wheel_py3.7 with the name of the job you want to test.
#       Job names are 'name:' key.
8

9
executors:
10
11
12
13
14
15
16
  windows-cpu:
    machine:
      resource_class: windows.xlarge
      image: windows-server-2019-vs2019:stable
      shell: bash.exe

  windows-gpu:
17
    machine:
18
19
      resource_class: windows.gpu.nvidia.medium
      image: windows-server-2019-nvidia:stable
20
21
      shell: bash.exe

22
23
24
25
26
commands:
  checkout_merge:
    description: "checkout merge branch"
    steps:
      - checkout
27
28
29
30
31
#     - run:
#         name: Checkout merge branch
#         command: |
#           set -ex
#           BRANCH=$(git rev-parse --abbrev-ref HEAD)
32
#           if [[ "$BRANCH" != "main" ]]; then
33
34
35
#             git fetch --force origin ${CIRCLE_BRANCH}/merge:merged/${CIRCLE_BRANCH}
#             git checkout "merged/$CIRCLE_BRANCH"
#           fi
36
37
38
39
40
41
42
43
44
45
46
47
  designate_upload_channel:
    description: "inserts the correct upload channel into ${BASH_ENV}"
    steps:
      - run:
          name: adding UPLOAD_CHANNEL to BASH_ENV
          command: |
            our_upload_channel=nightly
            # On tags upload to test instead
            if [[ -n "${CIRCLE_TAG}" ]]; then
              our_upload_channel=test
            fi
            echo "export UPLOAD_CHANNEL=${our_upload_channel}" >> ${BASH_ENV}
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
  brew_update:
    description: "Update Homebrew and install base formulae"
    steps:
      - run:
          name: Update Homebrew
          no_output_timeout: "10m"
          command: |
            set -ex

            # Update repositories manually.
            # Running `brew update` produces a comparison between the
            # current checkout and the updated checkout, which takes a
            # very long time because the existing checkout is 2y old.
            for path in $(find /usr/local/Homebrew -type d -name .git)
            do
            cd $path/..
            git fetch --depth=1 origin
            git reset --hard origin/master
            done

            export HOMEBREW_NO_AUTO_UPDATE=1

            # Install expect and moreutils so that we can call `unbuffer` and `ts`.
            # moreutils installs a `parallel` executable by default, which conflicts
            # with the executable from the GNU `parallel`, so we must unlink GNU
            # `parallel` first, and relink it afterwards.
            brew install coreutils
            brew unlink parallel
            brew install moreutils
            brew link parallel --overwrite
            brew install expect

  brew_install:
    description: "Install Homebrew formulae"
    parameters:
      formulae:
        type: string
        default: ""
    steps:
      - run:
          name: Install << parameters.formulae >>
          no_output_timeout: "10m"
          command: |
            set -ex
            export HOMEBREW_NO_AUTO_UPDATE=1
            brew install << parameters.formulae >>

  run_brew_for_ios_build:
    steps:
      - brew_update
      - brew_install:
          formulae: libtool

Philip Meier's avatar
Philip Meier committed
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
  apt_install:
    parameters:
      args:
        type: string
      descr:
        type: string
        default: ""
      update:
        type: boolean
        default: true
    steps:
      - run:
          name: >
            <<^ parameters.descr >> apt install << parameters.args >> <</ parameters.descr >>
            <<# parameters.descr >> << parameters.descr >>            <</ parameters.descr >>
          command: |
            <<# parameters.update >> sudo apt update -qy  <</ parameters.update >>
            sudo apt install << parameters.args >>

  pip_install:
    parameters:
      args:
        type: string
      descr:
        type: string
        default: ""
      user:
        type: boolean
        default: true
    steps:
      - run:
          name: >
            <<^ parameters.descr >> pip install << parameters.args >> <</ parameters.descr >>
            <<# parameters.descr >> << parameters.descr >>            <</ parameters.descr >>
          command: >
            pip install
            <<# parameters.user >> --user <</ parameters.user >>
            --progress-bar=off
            << parameters.args >>

  install_torchvision:
    parameters:
      editable:
        type: boolean
        default: true
    steps:
      - pip_install:
149
          args: --pre torch --extra-index-url https://download.pytorch.org/whl/nightly/cpu
Philip Meier's avatar
Philip Meier committed
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
          descr: Install PyTorch from nightly releases
      - pip_install:
          args: --no-build-isolation <<# parameters.editable >> --editable <</ parameters.editable >> .
          descr: Install torchvision <<# parameters.editable >> in editable mode <</ parameters.editable >>

  # Most of the test suite is handled by the `unittest` jobs, with completely different workflow and setup.
  # This command can be used if only a selection of tests need to be run, for ad-hoc files.
  run_tests_selective:
    parameters:
      file_or_dir:
        type: string
    steps:
      - run:
          name: Install test utilities
          command: pip install --progress-bar=off pytest pytest-mock
      - run:
          name: Run tests
          command: pytest --junitxml=test-results/junit.xml -v --durations 20 <<parameters.file_or_dir>>
      - store_test_results:
          path: test-results

171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
  download_model_weights:
    parameters:
      extract_roots:
        type: string
        default: "torchvision/models"
      background:
        type: boolean
        default: true
    steps:
      - apt_install:
          args: parallel wget
          descr: Install download utilitites
      - run:
          name: Download model weights
          background: << parameters.background >>
          command: |
            mkdir -p ~/.cache/torch/hub/checkpoints
            python scripts/collect_model_urls.py << parameters.extract_roots >> \
                | parallel -j0 'wget --no-verbose -O ~/.cache/torch/hub/checkpoints/`basename {}` {}\?source=ci'

191
192
binary_common: &binary_common
  parameters:
193
    # Edit these defaults to do a release
194
195
196
197
198
    build_version:
      description: "version number of release binary; by default, build a nightly"
      type: string
      default: ""
    pytorch_version:
199
      description: "PyTorch version to build against; by default, use a nightly"
200
      type: string
201
      default: ""
202
203
204
205
    # Don't edit these
    python_version:
      description: "Python version to build against (e.g., 3.7)"
      type: string
Edward Z. Yang's avatar
Edward Z. Yang committed
206
207
    cu_version:
      description: "CUDA version to build against, in CU format (e.g., cpu or cu100)"
208
      type: string
guyang3532's avatar
guyang3532 committed
209
      default: "cpu"
210
211
212
213
    unicode_abi:
      description: "Python 2.7 wheel only: whether or not we are cp27mu (default: no)"
      type: string
      default: ""
Edward Z. Yang's avatar
Edward Z. Yang committed
214
215
216
    wheel_docker_image:
      description: "Wheel only: what docker image to use"
      type: string
217
      default: ""
218
219
220
221
    conda_docker_image:
      description: "Conda only: what docker image to use"
      type: string
      default: "pytorch/conda-builder:cpu"
222
223
224
225
  environment:
    PYTHON_VERSION: << parameters.python_version >>
    PYTORCH_VERSION: << parameters.pytorch_version >>
    UNICODE_ABI: << parameters.unicode_abi >>
Edward Z. Yang's avatar
Edward Z. Yang committed
226
    CU_VERSION: << parameters.cu_version >>
227
    MACOSX_DEPLOYMENT_TARGET: 10.9
228

229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
torchvision_ios_params: &torchvision_ios_params
  parameters:
    build_environment:
      type: string
      default: ""
    ios_arch:
      type: string
      default: ""
    ios_platform:
      type: string
      default: ""
  environment:
    BUILD_ENVIRONMENT: << parameters.build_environment >>
    IOS_ARCH: << parameters.ios_arch >>
    IOS_PLATFORM: << parameters.ios_platform >>

245
246
247
248
249
250
251
252
torchvision_android_params: &torchvision_android_params
  parameters:
    build_environment:
      type: string
      default: ""
  environment:
    BUILD_ENVIRONMENT: << parameters.build_environment >>

guyang3532's avatar
guyang3532 committed
253
254
255
256
257
smoke_test_common: &smoke_test_common
  <<: *binary_common
  docker:
    - image: torchvision/smoke_test:latest

258
259
260
jobs:
  circleci_consistency:
    docker:
261
      - image: cimg/python:3.7
262
263
    steps:
      - checkout
Philip Meier's avatar
Philip Meier committed
264
265
      - pip_install:
          args: jinja2 pyyaml
266
      - run:
Philip Meier's avatar
Philip Meier committed
267
          name: Check CircleCI config consistency
268
269
270
271
          command: |
            python .circleci/regenerate.py
            git diff --exit-code || (echo ".circleci/config.yml not in sync with config.yml.in! Run .circleci/regenerate.py to update config"; exit 1)

Philip Meier's avatar
Philip Meier committed
272
  lint_python_and_config:
273
    docker:
274
      - image: cimg/python:3.7
275
276
    steps:
      - checkout
Philip Meier's avatar
Philip Meier committed
277
      - pip_install:
278
          args: pre-commit
Philip Meier's avatar
Philip Meier committed
279
          descr: Install lint utilities
280
      - run:
Philip Meier's avatar
Philip Meier committed
281
282
283
284
          name: Install pre-commit hooks
          command: pre-commit install-hooks
      - run:
          name: Lint Python code and config files
285
          command: pre-commit run --all-files
286
287
288
      - run:
          name: Required lint modifications
          when: on_fail
289
          command: git --no-pager diff
290

Philip Meier's avatar
Philip Meier committed
291
  lint_c:
292
    docker:
293
      - image: cimg/python:3.7
294
    steps:
Philip Meier's avatar
Philip Meier committed
295
296
297
      - apt_install:
          args: libtinfo5
          descr: Install additional system libraries
298
299
      - checkout
      - run:
Philip Meier's avatar
Philip Meier committed
300
          name: Install lint utilities
301
          command: |
Philip Meier's avatar
Philip Meier committed
302
303
304
            curl https://oss-clang-format.s3.us-east-2.amazonaws.com/linux64/clang-format-linux64 -o clang-format
            chmod +x clang-format
            sudo mv clang-format /opt/clang-format
305
      - run:
Philip Meier's avatar
Philip Meier committed
306
307
308
309
310
311
          name: Lint C code
          command: ./.circleci/unittest/linux/scripts/run-clang-format.py -r torchvision/csrc --clang-format-executable /opt/clang-format
      - run:
          name: Required lint modifications
          when: on_fail
          command: git --no-pager diff
312

Philip Meier's avatar
Philip Meier committed
313
  type_check_python:
314
    docker:
315
      - image: cimg/python:3.7
316
317
    steps:
      - checkout
Philip Meier's avatar
Philip Meier committed
318
319
320
321
322
323
324
      - install_torchvision:
          editable: true
      - pip_install:
          args: mypy
          descr: Install Python type check utilities
      - run:
          name: Check Python types statically
325
          command: mypy --install-types --non-interactive --config-file mypy.ini
326

Philip Meier's avatar
Philip Meier committed
327
  unittest_torchhub:
Francisco Massa's avatar
Francisco Massa committed
328
    docker:
329
      - image: cimg/python:3.7
Francisco Massa's avatar
Francisco Massa committed
330
331
    steps:
      - checkout
Philip Meier's avatar
Philip Meier committed
332
333
334
      - install_torchvision
      - run_tests_selective:
          file_or_dir: test/test_hub.py
Francisco Massa's avatar
Francisco Massa committed
335

Philip Meier's avatar
Philip Meier committed
336
  unittest_onnx:
337
    docker:
338
      - image: cimg/python:3.7
339
340
    steps:
      - checkout
Philip Meier's avatar
Philip Meier committed
341
342
343
344
345
346
      - install_torchvision
      - pip_install:
          args: onnx onnxruntime
          descr: Install ONNX
      - run_tests_selective:
          file_or_dir: test/test_onnx.py
347

348
349
  unittest_extended:
    docker:
350
      - image: cimg/python:3.7
351
352
353
354
355
356
357
358
359
360
361
    resource_class: xlarge
    steps:
      - checkout
      - download_model_weights
      - install_torchvision
      - run:
          name: Enable extended tests
          command: echo 'export PYTORCH_TEST_WITH_EXTENDED=1' >> $BASH_ENV
      - run_tests_selective:
          file_or_dir: test/test_extended_*.py

362
363
364
  binary_linux_wheel:
    <<: *binary_common
    docker:
Edward Z. Yang's avatar
Edward Z. Yang committed
365
      - image: << parameters.wheel_docker_image >>
366
367
    resource_class: 2xlarge+
    steps:
368
      - checkout_merge
369
      - designate_upload_channel
370
371
372
      - run: packaging/build_wheel.sh
      - store_artifacts:
          path: dist
Edward Z. Yang's avatar
Edward Z. Yang committed
373
374
375
376
      - persist_to_workspace:
          root: dist
          paths:
            - "*"
377
378
379
380

  binary_linux_conda:
    <<: *binary_common
    docker:
381
      - image: "<< parameters.conda_docker_image >>"
382
383
    resource_class: 2xlarge+
    steps:
384
      - checkout_merge
385
      - designate_upload_channel
386
387
388
      - run: packaging/build_conda.sh
      - store_artifacts:
          path: /opt/conda/conda-bld/linux-64
Edward Z. Yang's avatar
Edward Z. Yang committed
389
390
391
392
      - persist_to_workspace:
          root: /opt/conda/conda-bld/linux-64
          paths:
            - "*"
393
394
      - store_test_results:
          path: build_results/
395

Francisco Massa's avatar
Francisco Massa committed
396
  binary_win_conda:
397
398
    <<: *binary_common
    executor: windows-cpu
399
400
    steps:
      - checkout_merge
401
      - designate_upload_channel
402
403
      - run:
          name: Build conda packages
404
          no_output_timeout: 20m
405
          command: |
406
407
408
409
410
411
412
            set -ex
            source packaging/windows/internal/vc_install_helper.sh
            packaging/windows/internal/cuda_install.bat
            eval "$('/C/tools/miniconda3/Scripts/conda.exe' 'shell.bash' 'hook')"
            conda activate base
            conda install -yq conda-build "conda-package-handling!=1.5.0"
            packaging/build_conda.sh
413
            rm /C/tools/miniconda3/conda-bld/win-64/vs${VC_YEAR}*.tar.bz2
414
      - store_artifacts:
415
          path: C:/tools/miniconda3/conda-bld/win-64
416
      - persist_to_workspace:
417
          root: C:/tools/miniconda3/conda-bld/win-64
418
419
420
421
422
          paths:
            - "*"
      - store_test_results:
          path: build_results/

423
  binary_win_wheel:
424
425
    <<: *binary_common
    executor: windows-cpu
426
427
    steps:
      - checkout_merge
428
      - designate_upload_channel
429
430
431
      - run:
          name: Build wheel packages
          command: |
432
433
434
435
            set -ex
            source packaging/windows/internal/vc_install_helper.sh
            packaging/windows/internal/cuda_install.bat
            packaging/build_wheel.sh
436
      - store_artifacts:
437
          path: dist
438
      - persist_to_workspace:
439
          root: dist
440
441
442
443
444
          paths:
            - "*"
      - store_test_results:
          path: build_results/

445
446
447
  binary_macos_wheel:
    <<: *binary_common
    macos:
448
      xcode: "14.0"
449
    steps:
450
      - checkout_merge
451
      - designate_upload_channel
452
453
454
455
456
457
458
459
460
461
462
      - run:
          # Cannot easily deduplicate this as source'ing activate
          # will set environment variables which we need to propagate
          # to build_wheel.sh
          command: |
            curl -o conda.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
            sh conda.sh -b
            source $HOME/miniconda3/bin/activate
            packaging/build_wheel.sh
      - store_artifacts:
          path: dist
Edward Z. Yang's avatar
Edward Z. Yang committed
463
464
465
466
      - persist_to_workspace:
          root: dist
          paths:
            - "*"
467

468
469
470
  binary_ios_build:
    <<: *torchvision_ios_params
    macos:
471
      xcode: "14.0"
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
    steps:
    - attach_workspace:
        at: ~/workspace
    - checkout
    - run_brew_for_ios_build
    - run:
        name: Build
        no_output_timeout: "1h"
        command: |
          script="/Users/distiller/project/.circleci/unittest/ios/scripts/binary_ios_build.sh"
          cat "$script"
          source "$script"
    - persist_to_workspace:
        root: /Users/distiller/workspace/
        paths: ios

  binary_ios_upload:
    <<: *torchvision_ios_params
    macos:
491
      xcode: "14.0"
492
493
494
495
496
497
498
499
500
501
502
503
504
    steps:
    - attach_workspace:
        at: ~/workspace
    - checkout
    - run_brew_for_ios_build
    - run:
        name: Upload
        no_output_timeout: "1h"
        command: |
          script="/Users/distiller/project/.circleci/unittest/ios/scripts/binary_ios_upload.sh"
          cat "$script"
          source "$script"

505
506
507
  binary_android_build:
    <<: *torchvision_android_params
    docker:
508
      - image: cimg/android:2021.08-ndk
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
    resource_class: xlarge
    steps:
    - attach_workspace:
        at: ~/workspace
    - checkout
    - run:
        name: Build
        no_output_timeout: "1h"
        command: |
          script="/home/circleci/project/.circleci/unittest/android/scripts/binary_android_build.sh"
          cat "$script"
          source "$script"
    - store_artifacts:
        path: ~/workspace/artifacts

  binary_android_upload:
    <<: *torchvision_android_params
    docker:
527
      - image: cimg/android:2021.08-ndk
528
529
530
531
532
533
534
535
536
537
538
539
540
    resource_class: xlarge
    steps:
    - attach_workspace:
        at: ~/workspace
    - checkout
    - run:
        name: Upload
        no_output_timeout: "1h"
        command: |
          script="/home/circleci/project/.circleci/unittest/android/scripts/binary_android_upload.sh"
          cat "$script"
          source "$script"

541
542
543
  binary_macos_conda:
    <<: *binary_common
    macos:
544
      xcode: "14.0"
545
    steps:
546
      - checkout_merge
547
      - designate_upload_channel
548
549
550
551
552
553
554
555
556
      - run:
          command: |
            curl -o conda.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
            sh conda.sh -b
            source $HOME/miniconda3/bin/activate
            conda install -yq conda-build
            packaging/build_conda.sh
      - store_artifacts:
          path: /Users/distiller/miniconda3/conda-bld/osx-64
Edward Z. Yang's avatar
Edward Z. Yang committed
557
558
559
560
      - persist_to_workspace:
          root: /Users/distiller/miniconda3/conda-bld/osx-64
          paths:
            - "*"
561
562
      - store_test_results:
          path: build_results/
563

Edward Z. Yang's avatar
Edward Z. Yang committed
564
565
566
567
568
569
570
  # Requires org-member context
  binary_conda_upload:
    docker:
      - image: continuumio/miniconda
    steps:
      - attach_workspace:
          at: ~/workspace
571
      - designate_upload_channel
Edward Z. Yang's avatar
Edward Z. Yang committed
572
573
574
575
576
      - run:
          command: |
            # Prevent credential from leaking
            conda install -yq anaconda-client
            set -x
577
            anaconda  -t "${CONDA_PYTORCHBOT_TOKEN}" upload ~/workspace/*.tar.bz2 -u "pytorch-${UPLOAD_CHANNEL}" --label main --no-progress --force
Edward Z. Yang's avatar
Edward Z. Yang committed
578
579
580

  # Requires org-member context
  binary_wheel_upload:
Edward Z. Yang's avatar
Edward Z. Yang committed
581
582
583
584
    parameters:
      subfolder:
        description: "What whl subfolder to upload to, e.g., blank or cu100/ (trailing slash is important)"
        type: string
Edward Z. Yang's avatar
Edward Z. Yang committed
585
    docker:
586
      - image: cimg/python:3.7
Edward Z. Yang's avatar
Edward Z. Yang committed
587
588
589
    steps:
      - attach_workspace:
          at: ~/workspace
590
      - designate_upload_channel
Edward Z. Yang's avatar
Edward Z. Yang committed
591
      - checkout
Philip Meier's avatar
Philip Meier committed
592
593
      - pip_install:
          args: awscli
Edward Z. Yang's avatar
Edward Z. Yang committed
594
595
596
597
598
599
600
601
      - run:
          command: |
            export PATH="$HOME/.local/bin:$PATH"
            # Prevent credential from leaking
            set +x
            export AWS_ACCESS_KEY_ID="${PYTORCH_BINARY_AWS_ACCESS_KEY_ID}"
            export AWS_SECRET_ACCESS_KEY="${PYTORCH_BINARY_AWS_SECRET_ACCESS_KEY}"
            set -x
Edward Z. Yang's avatar
Edward Z. Yang committed
602
            for pkg in ~/workspace/*.whl; do
603
              aws s3 cp "$pkg" "s3://pytorch/whl/${UPLOAD_CHANNEL}/<< parameters.subfolder >>" --acl public-read
Edward Z. Yang's avatar
Edward Z. Yang committed
604
            done
Edward Z. Yang's avatar
Edward Z. Yang committed
605

guyang3532's avatar
guyang3532 committed
606
607
608
609
610
  smoke_test_linux_conda:
    <<: *smoke_test_common
    steps:
      - attach_workspace:
          at: ~/workspace
611
      - designate_upload_channel
guyang3532's avatar
guyang3532 committed
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
      - run:
          name: install binaries
          command: |
            set -x
            source /usr/local/etc/profile.d/conda.sh && conda activate python${PYTHON_VERSION}
            conda install -v -y -c pytorch-nightly pytorch
            conda install -v -y $(ls ~/workspace/torchvision*.tar.bz2)
      - run:
          name: smoke test
          command: |
            source /usr/local/etc/profile.d/conda.sh && conda activate python${PYTHON_VERSION}
            python -c "import torchvision"

  smoke_test_linux_pip:
    <<: *smoke_test_common
    steps:
      - attach_workspace:
          at: ~/workspace
630
      - designate_upload_channel
guyang3532's avatar
guyang3532 committed
631
632
633
634
635
      - run:
          name: install binaries
          command: |
            set -x
            source /usr/local/etc/profile.d/conda.sh && conda activate python${PYTHON_VERSION}
Philip Meier's avatar
Philip Meier committed
636
637
      - pip_install:
          args: $(ls ~/workspace/torchvision*.whl) --pre -f https://download.pytorch.org/whl/nightly/torch_nightly.html
guyang3532's avatar
guyang3532 committed
638
639
640
641
642
643
644
645
      - run:
          name: smoke test
          command: |
            source /usr/local/etc/profile.d/conda.sh && conda activate python${PYTHON_VERSION}
            python -c "import torchvision"

  smoke_test_docker_image_build:
    machine:
646
      image: ubuntu-2004:202104-01
guyang3532's avatar
guyang3532 committed
647
648
649
650
651
    resource_class: large
    environment:
      image_name: torchvision/smoke_test
    steps:
      - checkout
652
      - designate_upload_channel
guyang3532's avatar
guyang3532 committed
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
      - run:
          name: Build and push Docker image
          no_output_timeout: "1h"
          command: |
            set +x
            echo "${DOCKER_HUB_TOKEN}" | docker login --username "${DOCKER_HUB_USERNAME}" --password-stdin
            set -x
            cd .circleci/smoke_test/docker && docker build . -t ${image_name}:${CIRCLE_WORKFLOW_ID}
            docker tag ${image_name}:${CIRCLE_WORKFLOW_ID} ${image_name}:latest
            docker push ${image_name}:${CIRCLE_WORKFLOW_ID}
            docker push ${image_name}:latest

  smoke_test_win_conda:
    <<: *binary_common
    executor:
      name: windows-cpu
    steps:
      - attach_workspace:
          at: ~/workspace
672
      - designate_upload_channel
guyang3532's avatar
guyang3532 committed
673
674
675
676
677
678
      - run:
          name: install binaries
          command: |
            set -x
            eval "$('/C/tools/miniconda3/Scripts/conda.exe' 'shell.bash' 'hook')"
            conda env remove -n python${PYTHON_VERSION} || true
679
            conda create -yn python${PYTHON_VERSION} python=${PYTHON_VERSION}
guyang3532's avatar
guyang3532 committed
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
            conda activate python${PYTHON_VERSION}
            conda install -v -y -c pytorch-nightly pytorch
            conda install -v -y $(ls ~/workspace/torchvision*.tar.bz2)
      - run:
          name: smoke test
          command: |
            eval "$('/C/tools/miniconda3/Scripts/conda.exe' 'shell.bash' 'hook')"
            conda activate python${PYTHON_VERSION}
            python -c "import torchvision"

  smoke_test_win_pip:
    <<: *binary_common
    executor:
      name: windows-cpu
    steps:
      - attach_workspace:
          at: ~/workspace
697
      - designate_upload_channel
guyang3532's avatar
guyang3532 committed
698
699
700
701
702
703
704
      - run:
          name: install binaries
          command: |
            set -x
            eval "$('/C/tools/miniconda3/Scripts/conda.exe' 'shell.bash' 'hook')"
            conda create -yn python${PYTHON_VERSION} python=${PYTHON_VERSION}
            conda activate python${PYTHON_VERSION}
Philip Meier's avatar
Philip Meier committed
705
706
      - pip_install:
          args: $(ls ~/workspace/torchvision*.whl) --pre -f https://download.pytorch.org/whl/nightly/torch_nightly.html
guyang3532's avatar
guyang3532 committed
707
708
709
710
711
712
713
      - run:
          name: smoke test
          command: |
            eval "$('/C/tools/miniconda3/Scripts/conda.exe' 'shell.bash' 'hook')"
            conda activate python${PYTHON_VERSION}
            python -c "import torchvision"

714
715
716
  unittest_linux_cpu:
    <<: *binary_common
    docker:
717
      - image: "pytorch/manylinux-cpu"
718
719
720
    resource_class: 2xlarge+
    steps:
      - checkout
721
      - designate_upload_channel
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
      - run:
          name: Generate cache key
          # This will refresh cache on Sundays, nightly build should generate new cache.
          command: echo "$(date +"%Y-%U")" > .circleci-weekly
      - restore_cache:
          {% raw %}
          keys:
            - env-v2-linux-{{ arch }}-py<< parameters.python_version >>-{{ checksum ".circleci/unittest/linux/scripts/environment.yml" }}-{{ checksum ".circleci-weekly" }}
          {% endraw %}
      - run:
          name: Setup
          command: .circleci/unittest/linux/scripts/setup_env.sh
      - save_cache:
          {% raw %}
          key: env-v2-linux-{{ arch }}-py<< parameters.python_version >>-{{ checksum ".circleci/unittest/linux/scripts/environment.yml" }}-{{ checksum ".circleci-weekly" }}
          {% endraw %}
          paths:
            - conda
            - env
      - run:
          name: Install torchvision
          command: .circleci/unittest/linux/scripts/install.sh
      - run:
          name: Run tests
          command: .circleci/unittest/linux/scripts/run_test.sh
      - run:
          name: Post process
          command: .circleci/unittest/linux/scripts/post_process.sh
      - store_test_results:
          path: test-results

  unittest_linux_gpu:
    <<: *binary_common
    machine:
756
      image: ubuntu-2004-cuda-11.4:202110-01
757
    resource_class: gpu.nvidia.medium
758
    environment:
Andrey Talman's avatar
Andrey Talman committed
759
760
      image_name: "pytorch/manylinux-cuda116"
      CU_VERSION: << parameters.cu_version >>
761
      PYTHON_VERSION: << parameters.python_version >>
762
763
    steps:
      - checkout
764
      - designate_upload_channel
765
766
767
768
      - run:
          name: Generate cache key
          # This will refresh cache on Sundays, nightly build should generate new cache.
          command: echo "$(date +"%Y-%U")" > .circleci-weekly
769
770
771
772
773
      - restore_cache:
          {% raw %}
          keys:
            - env-v3-linux-{{ arch }}-py<< parameters.python_version >>-{{ checksum ".circleci/unittest/linux/scripts/environment.yml" }}-{{ checksum ".circleci-weekly" }}
          {% endraw %}
774
775
      - run:
          name: Setup
776
          command: docker run -e PYTHON_VERSION -t --gpus all -v $PWD:$PWD -w $PWD "${image_name}" .circleci/unittest/linux/scripts/setup_env.sh
777
778
      - save_cache:
          {% raw %}
779
          key: env-v3-linux-{{ arch }}-py<< parameters.python_version >>-{{ checksum ".circleci/unittest/linux/scripts/environment.yml" }}-{{ checksum ".circleci-weekly" }}
780
781
782
783
          {% endraw %}
          paths:
            - conda
            - env
784
785
786
787
788
789
790
791
      - run:
          # Here we create an envlist file that contains some env variables that we want the docker container to be aware of.
          # Normally, the CIRCLECI variable is set and available on all CI workflows: https://circleci.com/docs/2.0/env-vars/#built-in-environment-variables.
          # They're avaiable in all the other workflows (OSX and Windows).
          # But here, we're running the unittest_linux_gpu workflows in a docker container, where those variables aren't accessible.
          # So instead we dump the variables we need in env.list and we pass that file when invoking "docker run".
          name: export CIRCLECI env var
          command: echo "CIRCLECI=true" >> ./env.list
792
793
      - run:
          name: Install torchvision
794
          command: docker run -t --gpus all -v $PWD:$PWD -w $PWD -e UPLOAD_CHANNEL -e CU_VERSION "${image_name}" .circleci/unittest/linux/scripts/install.sh
795
796
      - run:
          name: Run tests
797
          command: docker run --env-file ./env.list -t --gpus all -v $PWD:$PWD -w $PWD "${image_name}" .circleci/unittest/linux/scripts/run_test.sh
798
799
800
801
802
803
804
805
806
807
808
809
      - run:
          name: Post Process
          command: docker run -t --gpus all -v $PWD:$PWD -w $PWD "${image_name}" .circleci/unittest/linux/scripts/post_process.sh
      - store_test_results:
          path: test-results

  unittest_windows_cpu:
    <<: *binary_common
    executor:
      name: windows-cpu
    steps:
      - checkout
810
      - designate_upload_channel
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
      - run:
          name: Generate cache key
          # This will refresh cache on Sundays, nightly build should generate new cache.
          command: echo "$(date +"%Y-%U")" > .circleci-weekly
      - restore_cache:
          {% raw %}
          keys:
            - env-v2-windows-{{ arch }}-py<< parameters.python_version >>-{{ checksum ".circleci/unittest/windows/scripts/environment.yml" }}-{{ checksum ".circleci-weekly" }}
          {% endraw %}
      - run:
          name: Setup
          command: .circleci/unittest/windows/scripts/setup_env.sh
      - save_cache:
          {% raw %}
          key: env-v2-windows-{{ arch }}-py<< parameters.python_version >>-{{ checksum ".circleci/unittest/windows/scripts/environment.yml" }}-{{ checksum ".circleci-weekly" }}
          {% endraw %}
          paths:
            - conda
            - env
      - run:
          name: Install torchvision
          command: .circleci/unittest/windows/scripts/install.sh
      - run:
          name: Run tests
          command: .circleci/unittest/windows/scripts/run_test.sh
      - run:
          name: Post process
          command: .circleci/unittest/windows/scripts/post_process.sh
      - store_test_results:
          path: test-results

  unittest_windows_gpu:
    <<: *binary_common
    executor:
      name: windows-gpu
    environment:
Andrey Talman's avatar
Andrey Talman committed
847
      CUDA_VERSION: "11.6"
848
      PYTHON_VERSION: << parameters.python_version >>
849
850
    steps:
      - checkout
851
      - designate_upload_channel
852
853
854
855
      - run:
          name: Generate cache key
          # This will refresh cache on Sundays, nightly build should generate new cache.
          command: echo "$(date +"%Y-%U")" > .circleci-weekly
856
857
858
859
      - restore_cache:
          {% raw %}
          keys:
            - env-v1-windows-{{ arch }}-py<< parameters.python_version >>-{{ checksum ".circleci/unittest/windows/scripts/environment.yml" }}-{{ checksum ".circleci-weekly" }}
860
          {% endraw %}
861
862
863
864
865
866
867
868
869
870
      - run:
          name: Setup
          command: .circleci/unittest/windows/scripts/setup_env.sh
      - save_cache:
          {% raw %}
          key: env-v1-windows-{{ arch }}-py<< parameters.python_version >>-{{ checksum ".circleci/unittest/windows/scripts/environment.yml" }}-{{ checksum ".circleci-weekly" }}
          {% endraw %}
          paths:
            - conda
            - env
871
872
873
874
875
876
      - run:
          name: Install CUDA
          command: packaging/windows/internal/cuda_install.bat
      - run:
          name: Update CUDA driver
          command: packaging/windows/internal/driver_update.bat
877
878
879
880
881
882
883
884
885
886
887
      - run:
          name: Install torchvision
          command: .circleci/unittest/windows/scripts/install.sh
      - run:
          name: Run tests
          command: .circleci/unittest/windows/scripts/run_test.sh
      - run:
          name: Post process
          command: .circleci/unittest/windows/scripts/post_process.sh
      - store_test_results:
          path: test-results
Edward Z. Yang's avatar
Edward Z. Yang committed
888

Francisco Massa's avatar
Francisco Massa committed
889
890
891
  unittest_macos_cpu:
    <<: *binary_common
    macos:
892
      xcode: "14.0"
Francisco Massa's avatar
Francisco Massa committed
893
894
895
    resource_class: large
    steps:
      - checkout
896
      - designate_upload_channel
Francisco Massa's avatar
Francisco Massa committed
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
      - run:
          name: Install wget
          command: HOMEBREW_NO_AUTO_UPDATE=1 brew install wget
          # Disable brew auto update which is very slow
      - run:
          name: Generate cache key
          # This will refresh cache on Sundays, nightly build should generate new cache.
          command: echo "$(date +"%Y-%U")" > .circleci-weekly
      - restore_cache:
          {% raw %}
          keys:
            - env-v3-macos-{{ arch }}-py<< parameters.python_version >>-{{ checksum ".circleci/unittest/linux/scripts/environment.yml" }}-{{ checksum ".circleci-weekly" }}
          {% endraw %}
      - run:
          name: Setup
          command: .circleci/unittest/linux/scripts/setup_env.sh
      - save_cache:
          {% raw %}
          key: env-v3-macos-{{ arch }}-py<< parameters.python_version >>-{{ checksum ".circleci/unittest/linux/scripts/environment.yml" }}-{{ checksum ".circleci-weekly" }}
          {% endraw %}
          paths:
            - conda
            - env
      - run:
          name: Install torchvision
          command: .circleci/unittest/linux/scripts/install.sh
      - run:
          name: Run tests
          command: .circleci/unittest/linux/scripts/run_test.sh
      - run:
          name: Post process
          command: .circleci/unittest/linux/scripts/post_process.sh
      - store_test_results:
          path: test-results

932
933
934
  cmake_linux_cpu:
    <<: *binary_common
    docker:
935
      - image: "pytorch/manylinux-cpu"
936
937
938
    resource_class: 2xlarge+
    steps:
      - checkout_merge
939
      - designate_upload_channel
940
941
942
943
944
945
946
947
      - run:
          name: Setup conda
          command: .circleci/unittest/linux/scripts/setup_env.sh
      - run: packaging/build_cmake.sh

  cmake_linux_gpu:
    <<: *binary_common
    machine:
948
      image: ubuntu-2004-cuda-11.4:202110-01
949
    resource_class: gpu.nvidia.small
950
951
952
953
954
955
956
    environment:
      PYTHON_VERSION: << parameters.python_version >>
      PYTORCH_VERSION: << parameters.pytorch_version >>
      UNICODE_ABI: << parameters.unicode_abi >>
      CU_VERSION: << parameters.cu_version >>
    steps:
      - checkout_merge
957
      - designate_upload_channel
958
959
960
961
962
      - run:
          name: Setup conda
          command: docker run -e CU_VERSION -e PYTHON_VERSION -e UNICODE_ABI -e PYTORCH_VERSION -t --gpus all -v $PWD:$PWD -w $PWD << parameters.wheel_docker_image >> .circleci/unittest/linux/scripts/setup_env.sh
      - run:
          name: Build torchvision C++ distribution and test
Andrey Talman's avatar
Andrey Talman committed
963
          no_output_timeout: 30m
964
          command: docker run -e CU_VERSION -e PYTHON_VERSION -e UNICODE_ABI -e PYTORCH_VERSION -e UPLOAD_CHANNEL -t --gpus all -v $PWD:$PWD -w $PWD << parameters.wheel_docker_image >> packaging/build_cmake.sh
965
966
967
968

  cmake_macos_cpu:
    <<: *binary_common
    macos:
969
      xcode: "14.0"
970
971
    steps:
      - checkout_merge
972
      - designate_upload_channel
973
974
975
976
977
978
979
980
981
982
983
984
985
986
      - run:
          command: |
            curl -o conda.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
            sh conda.sh -b
            source $HOME/miniconda3/bin/activate
            conda install -yq conda-build cmake
            packaging/build_cmake.sh

  cmake_windows_cpu:
    <<: *binary_common
    executor:
      name: windows-cpu
    steps:
      - checkout_merge
987
      - designate_upload_channel
988
989
990
991
992
993
994
995
996
997
998
999
      - run:
          command: |
            set -ex
            source packaging/windows/internal/vc_install_helper.sh
            packaging/build_cmake.sh

  cmake_windows_gpu:
    <<: *binary_common
    executor:
      name: windows-gpu
    steps:
      - checkout_merge
1000
      - designate_upload_channel
Andrey Talman's avatar
Andrey Talman committed
1001
1002
1003
      - run:
          name: Update CUDA driver
          command: packaging/windows/internal/driver_update.bat
1004
1005
1006
1007
1008
1009
1010
      - run:
          command: |
            set -ex
            source packaging/windows/internal/vc_install_helper.sh
            packaging/windows/internal/cuda_install.bat
            packaging/build_cmake.sh

1011
1012
1013
  build_docs:
    <<: *binary_common
    docker:
1014
      - image: cimg/python:3.7
1015
1016
1017
1018
1019
    resource_class: 2xlarge+
    steps:
      - attach_workspace:
          at: ~/workspace
      - checkout
1020
      - download_model_weights
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
      - run:
          name: Setup
          command: .circleci/unittest/linux/scripts/setup_env.sh
      - designate_upload_channel
      - run:
          name: Install torchvision
          command: .circleci/unittest/linux/scripts/install.sh
      - run:
          name: Build docs
          command: |
            set -ex
1032
1033
            # turn v1.12.0rc3 into 1.12.0
            tag=$(echo $CIRCLE_TAG | sed -e 's/v*\([0-9.]*\).*/\1/')
1034
            VERSION=${tag:-main}
1035
1036
1037
            eval "$(./conda/bin/conda shell.bash hook)"
            conda activate ./env
            pushd docs
Philip Meier's avatar
Philip Meier committed
1038
            pip install --progress-bar=off -r requirements.txt
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
            make html
            popd
      - persist_to_workspace:
          root: ./
          paths:
            - "*"
      - store_artifacts:
          path: ./docs/build/html
          destination: docs

  upload_docs:
    <<: *binary_common
    docker:
      - image: "pytorch/manylinux-cuda100"
    resource_class: 2xlarge+
    steps:
      - attach_workspace:
          at: ~/workspace
      - run:
          name: Generate netrc
          command: |
            # set credentials for https pushing
            # requires the org-member context
            cat > ~/.netrc \<<DONE
              machine github.com
              login pytorchbot
              password ${GITHUB_PYTORCHBOT_TOKEN}
            DONE
      - run:
          name: Upload docs
          command: |
            # Don't use "checkout" step since it uses ssh, which cannot git push
            # https://circleci.com/docs/2.0/configuration-reference/#checkout
            set -ex
1073
1074
            # Change v1.12.1rc1 into 1.12 (only major.minor)
            tag=$(echo $CIRCLE_TAG | sed -e 's/v*\([0-9]*\.[0-9]*\).*/\1/')
1075
            target=${tag:-main}
1076
1077
1078
            ~/workspace/.circleci/build_docs/commit_docs.sh ~/workspace $target


Edward Z. Yang's avatar
Edward Z. Yang committed
1079
workflows:
Philip Meier's avatar
Philip Meier committed
1080
  lint:
Edward Z. Yang's avatar
Edward Z. Yang committed
1081
1082
    jobs:
      - circleci_consistency
Philip Meier's avatar
Philip Meier committed
1083
1084
1085
1086
1087
1088
      - lint_python_and_config
      - lint_c
      - type_check_python

  build:
    jobs:
1089
      {{ build_workflows(windows_latest_only=True) }}
1090
      {{ ios_workflows() }}
1091
      {{ android_workflows() }}
Edward Z. Yang's avatar
Edward Z. Yang committed
1092

1093
1094
  unittest:
    jobs:
Philip Meier's avatar
Philip Meier committed
1095
1096
      - unittest_torchhub
      - unittest_onnx
1097
      - unittest_extended
1098
      {{ unittest_workflows() }}
1099
1100
1101
1102
1103

  cmake:
    jobs:
      {{ cmake_workflows() }}

Edward Z. Yang's avatar
Edward Z. Yang committed
1104
1105
  nightly:
    jobs:
1106
      {{ ios_workflows(nightly=True) }}
1107
      {{ android_workflows(nightly=True) }}
1108
      {{ build_workflows(prefix="nightly_", filter_branch="nightly", upload=True) }}
guyang3532's avatar
guyang3532 committed
1109
1110
1111
1112
1113
1114
1115
  docker_build:
    triggers:
      - schedule:
          cron: "0 10 * * 0"
          filters:
            branches:
              only:
1116
                - main
guyang3532's avatar
guyang3532 committed
1117
1118
1119
    jobs:
      - smoke_test_docker_image_build:
          context: org-member