Perform appropriate CUDA stream synchronization in distributed autograd. (#53929) (#54358)

Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/53929

The local autograd engine performs appropriate stream synchronization
between autograd nodes in the graph to ensure a consumer's stream is
synchronized with the producer's stream before executing the consumer.

However in case of distributed autograd, the SendRpcBackward function receives
gradients over the wire and TensorPipe uses its own pool of streams for this
purpose. As a result, the tensors are received on TensorPipe's stream pool but
SendRpcBackward runs on a different stream during the backward pass and there
is no logic to synchronize these streams.

To fix this, I've enhanced DistEngine to synchronize these streams
appropriately when it receives grads over the wire.
ghstack-source-id: 124055277

(Note: this ignores all push blocking failures!)

Test Plan:
1) Added unit test which reproduced the issue.
2) waitforbuildbot.

Reviewed By: walterddr, wanchaol

Differential Revision: D27025307

fbshipit-source-id: 2944854e688e001cb3989d2741727b30d9278414

Co-authored-by: Pritam Damania <pritam.damania@fb.com>

.azure_pipelines/build-pipeline.yml

@@ -1,63 +0,0 @@
-# PyTorch CI Builds Pipeline on Azure DevOps
-#
-# This pipeline:
-#   1) builds PyTorch on select configurations
-#   2) runs only TestTorch unit tests.
-
-stages:
-- stage: 'Build'
-  displayName: 'Build PyTorch'
-  jobs:
-  - template: job_templates/build-verify-publish-template-unix.yml
-    parameters:
-      name: ubuntu_1804_CPU_docker
-      pool: 'PyTorch-Linux-CPU'
-      container_endpoint: pytorchms.azurecr.io
-      build_stage: True
-      is_ci_build: True
-      os: ubuntu
-      cuda: cpu
-      customMatrixes:
-        Py_38:
-          configuration: ubuntu_1804_py_38_cpu
-          container_image: pytorchms.azurecr.io/ubuntu_1804_py_38_cpu_dev
-
-  - template: job_templates/build-verify-publish-template-unix.yml
-    parameters:
-      name: ubuntu_1804_GPU_docker
-      pool: 'PyTorch-Linux-GPU'
-      container_endpoint: pytorchms.azurecr.io
-      build_stage: True
-      is_ci_build: True
-      os: ubuntu
-      cuda: gpu
-      customMatrixes:
-        Py_39_CUDA_112_cuDNN_810:
-          configuration: ubuntu_1804_py_39_cuda_112_cudnn_810
-          container_image: pytorchms.azurecr.io/ubuntu_1804_py_39_cuda_112_cudnn_8_dev
-          CUDA_VERSION: 112
-
-  - template: job_templates/build-verify-publish-template-win.yml
-    parameters:
-      name: windows_2019_CPU
-      pool: 'PyTorch-Win-CPU'
-      build_stage: True
-      is_ci_build: True
-      os: windows
-      cuda: cpu
-      customMatrixes:
-        Py_37:
-          configuration: windows_2019_py_37_cpu
-
-  - template: job_templates/build-verify-publish-template-win.yml
-    parameters:
-      name: windows_2019_GPU
-      pool: 'PyTorch-Win-GPU'
-      build_stage: True
-      is_ci_build: True
-      os: windows
-      cuda: gpu
-      customMatrixes:
-        Py_38_CUDA_102_cuDNN_765:
-          configuration: windows_2019_py_38_cuda_102_cudnn_765
-          CUDA_VERSION: 102

.azure_pipelines/daily-pipeline.yml

@@ -1,82 +0,0 @@
-# PyTorch Daily Builds Pipeline on Azure DevOps
-#
-# This pipeline:
-#   1) builds PyTorch on all available configurations
-#   2) runs all PyTorch unit tests
-
-stages:
-- stage: 'BuildTest'
-  displayName: 'Build and Test PyTorch'
-  jobs:
-  - template: job_templates/build-verify-publish-template-unix.yml
-    parameters:
-      name: ubuntu_1804_CPU_docker
-      pool: 'PyTorch-Linux-CPU'
-      container_endpoint: pytorchms.azurecr.io
-      build_stage: True
-      is_daily_build: True
-      os: ubuntu
-      cuda: cpu
-      customMatrixes:
-        Py_38:
-          configuration: ubuntu_1804_py_38_cpu
-          container_image: pytorchms.azurecr.io/ubuntu_1804_py_38_cpu_dev
-        Py_37:
-          configuration: ubuntu_1804_py_37_cpu
-          container_image: pytorchms.azurecr.io/ubuntu_1804_py_37_cpu_dev
-
-  - template: job_templates/build-verify-publish-template-unix.yml
-    parameters:
-      name: ubuntu_1804_GPU_docker
-      pool: 'PyTorch-Linux-GPU'
-      container_endpoint: pytorchms.azurecr.io
-      build_stage: True
-      is_daily_build: True
-      os: ubuntu
-      cuda: gpu
-      customMatrixes:
-        Py_39_CUDA_112_cuDNN_810:
-          configuration: ubuntu_1804_py_39_cuda_112_cudnn_810
-          container_image: pytorchms.azurecr.io/ubuntu_1804_py_39_cuda_112_cudnn_8_dev
-          CUDA_VERSION: 112
-        Py_38_CUDA_102_cuDNN_810:
-          configuration: ubuntu_1804_py_38_cuda_102_cudnn_810
-          container_image: pytorchms.azurecr.io/ubuntu_1804_py_38_cuda_102_cudnn_8_dev
-          CUDA_VERSION: 102
-        Py_37_CUDA_101_cuDNN_765:
-          configuration: ubuntu_1804_py_37_cuda_101_cudnn_765
-          container_image: pytorchms.azurecr.io/ubuntu_1804_py_37_cuda_101_cudnn_7_dev
-          CUDA_VERSION: 101
-
-  - template: job_templates/build-verify-publish-template-win.yml
-    parameters:
-      name: windows_2019_CPU
-      pool: 'PyTorch-Win-CPU'
-      build_stage: True
-      is_daily_build: True
-      os: windows
-      cuda: cpu
-      customMatrixes:
-        Py_38:
-          configuration: windows_2019_py_38_cpu
-        Py_37:
-          configuration: windows_2019_py_37_cpu
-
-  - template: job_templates/build-verify-publish-template-win.yml
-    parameters:
-      name: windows_2019_GPU
-      pool: 'PyTorch-Win-GPU'
-      build_stage: True
-      is_daily_build: True
-      os: windows
-      cuda: gpu
-      customMatrixes:
-        Py_39_CUDA_112_cuDNN_810:
-          configuration: windows_2019_py_39_cuda_112_cudnn_810
-          CUDA_VERSION: 112
-        Py_38_CUDA_102_cuDNN_765:
-          configuration: windows_2019_py_38_cuda_102_cudnn_765
-          CUDA_VERSION: 102
-        Py_37_CUDA_101_cuDNN_764:
-          configuration: windows_2019_py_37_cuda_101_cudnn_764
-          CUDA_VERSION: 101

.azure_pipelines/job_templates/build-verify-publish-template-unix.yml

@@ -1,134 +0,0 @@
-# PyTorch build steps template with Unix images Azure DevOps Instances
-#
-# This build depends on 3 parameters set as environment variables in the pipeline:
-#   - AZURE_DEVOPS_CLI_PAT: Secret var for authenticating to Azure DevOps
-#   - AZURE_DEVOPS_ARTIFACTS_ORGANIZATION: Azure Artifacts Organization name to publish artifacts
-#   - AZURE_DEVOPS_ARTIFACTS_PROJECT: Azure Artifacts Project name to publish artifacts
-
-parameters:
-  name: ''
-  pool: ''
-  container_endpoint: ''
-  os: ''
-  cuda: ''
-  is_ci_build: False
-  is_official_build: False
-  is_daily_build: False
-  build_stage: False
-  verify_stage: False
-  publish_stage: False
-  customMatrixes: ''
-
-jobs:
-- job: ${{parameters.name}}
-  timeoutInMinutes: 300
-  strategy:
-    matrix:
-      ${{ insert }}: ${{parameters.customMatrixes}}
-  pool:
-    name: ${{ parameters.pool}}
-  variables:
-    DECODE_PERCENTS: false
-  container:
-    image: $[variables['container_image']]
-    endpoint: ${{parameters.container_endpoint}}
-
-  steps:
-  # Build stage
-  - ${{ if eq(parameters.build_stage, 'True') }}:
-    # Set up environment variables for specific pipeline build
-    - template: set-environment-variables.yml
-      parameters:
-        os: ${{ parameters.os}}
-        cuda: ${{ parameters.cuda}}
-        is_official_build: ${{ parameters.is_official_build}}
-
-    # Sync and update PyTorch submodules
-    - bash: git submodule update --init --recursive
-      displayName: Update PyTorch submodules
-
-    # Build PyTorch and run unit tests - no packaging
-    - ${{ if or(eq(parameters.is_ci_build, 'True'), eq(parameters.is_daily_build, 'True')) }}:
-      # Build PyTorch from source in develop mode
-      - bash: python setup.py develop
-        displayName: Build PyTorch from source
-
-      - ${{ if eq(parameters.is_ci_build, 'True') }}:
-        # Run TestTorch unit tests to demonstrate successful PyTorch build
-        - bash: python test/test_torch.py TestTorch
-          displayName: Run TestTorch unit tests
-
-      - ${{ if eq(parameters.is_daily_build, 'True') }}:
-        # Run all unit tests to demonstrate successful PyTorch build
-        - bash: python test/run_test.py --continue-through-error --exclude-jit-executor --verbose
-          displayName: Run all unit tests
-
-      # Run ComponentGovernance
-      - task: ComponentGovernanceComponentDetection@0
-        inputs:
-          scanType: 'Register'
-          verbosity: 'Verbose'
-          alertWarningLevel: 'High'
-
-    # Build PyTorch and produce artifacts for verification stage
-    - ${{ if eq(parameters.is_official_build, 'True') }}:
-      # Build PyTorch from source in install mode and exclude test binaries
-      - bash: python setup.py install
-        displayName: Build PyTorch from source without test binaries
-
-      # Package PyTorch Wheel
-      - bash: python setup.py bdist_wheel
-        displayName: Package PyTorch Wheel
-
-      # Publish PyTorch Wheel
-      - task: PublishPipelineArtifact@1
-        inputs:
-          targetPath: $(Build.SourcesDirectory)/dist/
-          artifactName: Build_$(Build.BuildNumber)_$(configuration)
-        displayName: Publish PyTorch Wheel to Pipeline Artifacts
-
-  # Verification stage
-  - ${{ if eq(parameters.verify_stage, 'True') }}:
-    # Download PyTorch Wheel
-    - task: DownloadPipelineArtifact@2
-      inputs:
-        artifact: Build_$(Build.BuildNumber)_$(configuration)
-        path: $(Build.SourcesDirectory)/verify
-      displayName: Download PyTorch Wheel
-
-    # Install PyTorch Wheel on Windows
-    - bash: python -m pip install $(Build.SourcesDirectory)/verify/torch*linux*.whl
-      displayName: Install PyTorch Wheel
-
-    # Ensure PyTorch installed correctly from produced wheel
-    - bash: |
-        cd $(Build.SourcesDirectory)/verify
-        python -c "import torch; print('Installed Torch version: ' + torch.__version__)"
-      displayName: Check PyTorch correctly installed from wheel
-
-  # Publishing stage
-  - ${{ if eq(parameters.publish_stage, 'True') }}:
-    # Download PyTorch Wheel
-    - task: DownloadPipelineArtifact@2
-      inputs:
-        artifact: Build_$(Build.BuildNumber)_$(configuration)
-        path: $(Build.SourcesDirectory)/publish
-      displayName: Download PyTorch Wheel
-
-    # Publish wheel to Azure Artifacts
-    # The flag continueOnError=true is needed as the artifact to be published
-    # may already exist, because the artifact is differentiated based on the
-    # last commit date.
-    - bash: |
-        export TORCH_VERSION=$(head -c 5 ./version.txt)
-        export LAST_COMMIT=$(git rev-parse --short HEAD)
-        export LAST_COMMIT_DATE=$(git log -1 --pretty=%ad --date=format:%Y%m%d)
-        cd $(Build.SourcesDirectory)/publish
-        export TORCH_WHEEL=$(echo torch*linux*whl)
-        az extension add -n azure-devops
-        echo $ADOTOKEN | az devops login
-        az artifacts universal publish --organization $AZURE_DEVOPS_ARTIFACTS_ORGANIZATION --project $AZURE_DEVOPS_ARTIFACTS_PROJECT --scope project --feed "PyTorch" --name $TORCH_WHEEL --description "PyTorch Official Build Artifact" --version $TORCH_VERSION-$LAST_COMMIT_DATE-$LAST_COMMIT --path .
-      env:
-        ADOTOKEN: $(AZURE_DEVOPS_CLI_PAT)
-      continueOnError: true
-      displayName: Upload PyTorch Official Build package to Azure Artifacts

.azure_pipelines/job_templates/build-verify-publish-template-win.yml

@@ -1,150 +0,0 @@
-# PyTorch build steps template with Windows images Azure DevOps Instances
-#
-# This build depends on 3 parameters set as environment variables in the pipeline:
-#   - AZURE_DEVOPS_CLI_PAT: Secret var for authenticating to Azure DevOps
-#   - AZURE_DEVOPS_ARTIFACTS_ORGANIZATION: Azure Artifacts Organization name to publish artifacts
-#   - AZURE_DEVOPS_ARTIFACTS_PROJECT: Azure Artifacts Project name to publish artifacts
-
-parameters:
-  name: ''
-  pool: ''
-  os: ''
-  cuda: ''
-  is_ci_build: False
-  is_official_build: False
-  is_daily_build: False
-  build_stage: False
-  verify_stage: False
-  publish_stage: False
-  customMatrixes: ''
-
-jobs:
-- job: ${{parameters.name}}
-  timeoutInMinutes: 300
-  strategy:
-    matrix:
-      ${{ insert }}: ${{parameters.customMatrixes}}
-  pool:
-    name: ${{ parameters.pool}}
-  variables:
-    CMAKE_GENERATOR: Ninja
-    PACKAGE_PDBS: 0
-
-  steps:
-  # Prepare for PyTorch build on Windows
-  - template: prepare-build-template.yml
-    parameters:
-      configuration: $(configuration)
-      build_stage: ${{ parameters.build_stage}}
-
-  # Build Stage
-  - ${{ if eq(parameters.build_stage, 'True') }}:
-    # Set up environment variables for specific pipeline build
-    - template: set-environment-variables.yml
-      parameters:
-        os: ${{ parameters.os}}
-        cuda: ${{ parameters.cuda}}
-        is_official_build: ${{ parameters.is_official_build}}
-
-    # Sync and update PyTorch submodules
-    - script: git submodule update --init --recursive
-      displayName: Update PyTorch submodules
-
-    # Build PyTorch and run unit tests - no packaging
-    - ${{ if or(eq(parameters.is_ci_build, 'True'), eq(parameters.is_daily_build, 'True')) }}:
-      # Build PyTorch from source in develop mode with Ninja
-      - script: call activate $(configuration) && python setup.py develop
-        displayName: Build PyTorch from source
-
-      - ${{ if eq(parameters.is_ci_build, 'True') }}:
-        # Run TestTorch unit tests to demonstrate successful PyTorch build
-        - script: call activate $(configuration) && python test\test_torch.py TestTorch
-          displayName: Run TestTorch unit tests
-
-      - ${{ if eq(parameters.is_daily_build, 'True') }}:
-        # Run all unit tests to demonstrate successful PyTorch build
-        - script: call activate $(configuration) && python test/run_test.py --continue-through-error --exclude-jit-executor --verbose
-          displayName: Run all unit tests
-
-      # Run ComponentGovernance
-      - task: ComponentGovernanceComponentDetection@0
-        inputs:
-          scanType: 'Register'
-          verbosity: 'Verbose'
-          alertWarningLevel: 'High'
-
-    # Build PyTorch and produce artifacts for verification stage
-    - ${{ if eq(parameters.is_official_build, 'True') }}:
-      # Build PyTorch from source in install mode with Ninja and exclude test binaries
-      - script: call activate $(configuration) && python setup.py install
-        displayName: Build PyTorch from source without test binaries
-
-      # Package PyTorch Wheel
-      - script: call activate $(configuration) && python setup.py bdist_wheel
-        displayName: Package PyTorch Wheel
-
-      # Publish PyTorch Wheel
-      - task: PublishPipelineArtifact@1
-        inputs:
-          targetPath: $(Build.SourcesDirectory)\dist\
-          artifactName: Build_$(Build.BuildNumber)_$(configuration)
-        displayName: Publish PyTorch Wheel to Pipeline Artifacts
-
-  # Verification Stage
-  - ${{ if eq(parameters.verify_stage, 'True') }}:
-    # Download PyTorch Wheel
-    - task: DownloadPipelineArtifact@2
-      inputs:
-        artifact: Build_$(Build.BuildNumber)_$(configuration)
-        path: $(Build.SourcesDirectory)\verify
-      displayName: Download PyTorch Wheel
-
-    # Install PyTorch Wheel on Windows
-    - script: |
-        call activate $(configuration)
-        cd $(Build.SourcesDirectory)\verify
-        dir torch*win*.whl /b > whl.txt
-        set /p whl= < whl.txt
-        python -m pip install %whl%
-      displayName: Install PyTorch Wheel
-
-    # Ensure PyTorch installed correctly from produced wheel
-    - script: |
-        call activate $(configuration)
-        cd $(Build.SourcesDirectory)\verify
-        python -c "import torch; print('Installed Torch version: ' + torch.__version__)"
-      displayName: Check PyTorch correctly installed from wheel
-
-  # Publishing stage
-  - ${{ if eq(parameters.publish_stage, 'True') }}:
-    # Download PyTorch Wheel
-    - task: DownloadPipelineArtifact@2
-      inputs:
-        artifact: Build_$(Build.BuildNumber)_$(configuration)
-        path: $(Build.SourcesDirectory)\publish
-      displayName: Download PyTorch Wheel
-
-    # Set up Azure Artifacts for Windows
-    # The pip install --upgrade command is a bug fix for Azure CLI on Windows
-    # More info: https://github.com/Azure/azure-cli/issues/16858
-    - script: |
-        pip install --upgrade pip --target \opt\az\lib\python3.6\site-packages\
-        az extension add -n azure-devops
-      displayName: Set up Azure Artifacts download on Windows
-
-    # Publish wheel to Azure Artifacts
-    # The flag continueOnError=true is needed as the artifact to be published
-    # may already exist, because the artifact is differentiated based on the
-    # last commit date.
-    - script: |
-        set /p TORCH_VERSION= < version.txt
-        cd $(Build.SourcesDirectory)\publish
-        git rev-parse --short HEAD > last_commit.txt && set /p LAST_COMMIT= < last_commit.txt
-        git log -1 --pretty=%ad --date=format:%Y%m%d > last_commit_date.txt && set /p LAST_COMMIT_DATE= < last_commit_date.txt
-        dir torch*win*.whl /b > whl.txt && set /p TORCH_WHEEL= < whl.txt
-        echo %ADOTOKEN% | az devops login
-        az artifacts universal publish --organization %AZURE_DEVOPS_ARTIFACTS_ORGANIZATION% --project %AZURE_DEVOPS_ARTIFACTS_PROJECT% --scope project --feed "PyTorch" --name %TORCH_WHEEL% --description "PyTorch Official Build Artifact" --version %TORCH_VERSION:~0,5%-%LAST_COMMIT_DATE%-%LAST_COMMIT% --path .
-      env:
-        ADOTOKEN: $(AZURE_DEVOPS_CLI_PAT)
-      continueOnError: true
-      displayName: Upload PyTorch nigthly package to Azure Artifacts

.azure_pipelines/job_templates/common-packages.yml

@@ -1,17 +0,0 @@
-dependencies:
-  - python=PYTHON_VERSION
-  - numpy
-  - ninja
-  - pyyaml
-  - mkl
-  - mkl-include
-  - setuptools
-  - cmake
-  - cffi
-  - typing_extensions
-  - future
-  - six
-  - requests
-  - dataclasses
-  - pip:
-    - -r ../../requirements.txt

.azure_pipelines/job_templates/prepare-build-template.yml

@@ -1,62 +0,0 @@
-# Build prepare steps for PyTorch on Azure DevOps to build from source.
-# These steps share between normal build process and semmle security scan tasks
-
-parameters:
-  build_stage: False
-  configuration: ''
-
-steps:
-# End Python tasks that may be lingering over from previous runs
-# Note: If python.exe isn't currently running, exit code becomes 128,
-# which fails the run. Here exit code is set to 0 to avoid failed run.
-- script: |
-    taskkill /f /im python.exe
-    IF %ERRORLEVEL% EQU 128 exit 0
-  displayName: End previous Python processes
-
-# Clean up env directory in conda for fresh builds and set up conda environment YAML
-- powershell: |
-    Remove-Item 'C:\Miniconda\envs' -Recurse -ErrorAction Ignore
-    $env:PYTHON_VERSION = $env:SYSTEM_JOBNAME.Substring(3,1) + '.' + $env:SYSTEM_JOBNAME.Substring(4,1)
-    (Get-Content .azure_pipelines\job_templates\common-packages.yml) -replace 'PYTHON_VERSION', $env:PYTHON_VERSION | Out-File -encoding ASCII .azure_pipelines\job_templates\common-packages.yml
-  displayName: Clean up previous environments and Set up conda environment YAML
-
-# Make conda environment and install required packages
-- script: |
-    call conda clean --all -y
-    call conda env create -n $(configuration) --file .azure_pipelines\job_templates\common-packages.yml
-    call activate $(configuration)
-    call conda install -c conda-forge libuv=1.39
-  displayName: Set up conda environment for building from source
-
-- ${{ if eq(parameters.build_stage, 'True') }}:
-  # Install MKL
-  - script: |
-      rmdir /s /q mkl
-      del mkl_2020.2.254.7z
-      curl https://s3.amazonaws.com/ossci-windows/mkl_2020.2.254.7z -k -O
-      7z x -aoa mkl_2020.2.254.7z -omkl
-    displayName: Install MKL
-
-  # Install sccache and randomtemp
-  # Related PyTorch GitHub issue: https://github.com/pytorch/pytorch/issues/25393
-  # Related fix: https://github.com/pytorch/builder/pull/448/
-  - script: |
-      mkdir .\tmp_bin
-      curl -k https://s3.amazonaws.com/ossci-windows/sccache.exe --output .\tmp_bin\sccache.exe
-      curl -k https://s3.amazonaws.com/ossci-windows/sccache-cl.exe --output .\tmp_bin\sccache-cl.exe
-      copy .\tmp_bin\sccache.exe .\tmp_bin\nvcc.exe
-      curl -kL https://github.com/peterjc123/randomtemp-rust/releases/download/v0.3/randomtemp.exe --output .\tmp_bin\randomtemp.exe
-    displayName: Install sccache and randomtemp
-    condition: not(eq(variables.CUDA_VERSION, ''))
-
-  # CUDA 11.2's CUB directory conflicts with CUDA 10.2 and 10.1
-  # builds, where CUDA 11.2's CUB is injected into non-CUDA
-  # 11.2 builds.
-  - powershell: Remove-Item "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\include\cub" -Recurse -ErrorAction Ignore
-    displayName: Remove conflicting CUB from CUDA installation
-    condition: not(eq(variables.CUDA_VERSION, ''))
-
-  - powershell: Copy-Item -Path "F:\cuda_11_2\cub\" -Destination "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\include" -Recurse
-    displayName: Copy CUDA CUB for CUDA 11.2 build
-    condition: eq(variables.CUDA_VERSION, '112')

.azure_pipelines/job_templates/pytorch-template-unix.yml

@@ -1,51 +0,0 @@
-# PyTorch build steps template with Unix images Azure DevOps Instances
-#
-# This build depends on 5 parameters set as an environment variables in the pipeline:
-#   - AZURE_DEVOPS_CLI_PAT: Secret var for authenticating to Azure DevOps
-#   - AZURE_STORAGE_KEY: Secret var for authenticating to Azure Storage
-#   - _TS_CLONE_P, _TS_P, _TS_SM_P: Secret vars for specific unit tests
-
-parameters:
-  name: ''
-  pool: ''
-  container_endpoint: ''
-  customMatrixes: ''
-
-jobs:
-- job: ${{parameters.name}}
-  timeoutInMinutes: 600
-  strategy:
-    matrix:
-      ${{ insert }}: ${{parameters.customMatrixes}}
-  pool:
-    name: ${{ parameters.pool}}
-  variables:
-    DECODE_PERCENTS: false
-
-  steps:
-  # Don't checkout repo contents to save time and CPU compute. Environment variables
-  # related to checkout branch such as $(BUILD_SOURCEBRANCH) are still available.
-  - checkout: none
-
-  # Delete pytorch_tests repo from previous builds if exists
-  - bash: rm -rf pytorch_tests/
-    displayName: Delete pytorch_tests repo from previous builds if exists
-
-  # Clone PyTorch Tests repository
-  - bash: |
-      B64_PAT=$(printf "%s"":$_ADOTOKEN" | base64)
-      git -c http.extraHeader="Authorization: Basic ${B64_PAT}" clone $(AZURE_DEVOPS_PYTORCH_TESTS_REPO_URL)
-      cd pytorch_tests
-      git checkout $(PYTORCH_TESTS_CHECKOUT_BRANCH)
-    env:
-      _ADOTOKEN: $(AZURE_DEVOPS_CLI_PAT)
-    displayName: Clone PyTorch Tests repo
-
-  # Run PyTorch Unit Tests
-  - bash: bash $(Build.SourcesDirectory)/pytorch_tests/scripts/linux/run.sh
-    env:
-      _AZURE_STORAGE_KEY: $(AZURE_STORAGE_KEY)
-      _TS_CLONE_P: $(TS_CLONE_PASSWORD)
-      _TS_P: $(TS_PAT)
-      _TS_SM_P: $(TS_SM_PAT)
-    displayName: Run PyTorch Unit Tests

.azure_pipelines/job_templates/pytorch-template-win.yml

@@ -1,49 +0,0 @@
-# PyTorch build steps template with Windows images Azure DevOps Instances
-#
-# This build depends on 5 parameters set as an environment variables in the pipeline:
-#   - AZURE_DEVOPS_CLI_PAT: Secret var for authenticating to Azure DevOps
-#   - AZURE_STORAGE_KEY: Secret var for authenticating to Azure Storage
-#   - _TS_CLONE_P, _TS_P, _TS_SM_P: Secret vars for specific unit tests
-
-parameters:
-  name: ''
-  pool: ''
-  customMatrixes: ''
-
-jobs:
-- job: ${{parameters.name}}
-  timeoutInMinutes: 600
-  strategy:
-    matrix:
-      ${{ insert }}: ${{parameters.customMatrixes}}
-  pool:
-    name: ${{ parameters.pool}}
-
-  steps:
-  # Don't checkout repo contents to save time and CPU compute. Environment variables
-  # related to checkout branch such as $(BUILD_SOURCEBRANCH) are still available.
-  - checkout: none
-
-  # Delete pytorch_tests repo from previous builds if exists
-  - script: if exist "pytorch_tests/" rmdir "pytorch_tests/" /q /s
-    displayName: Delete pytorch_tests repo from previous builds if exists
-
-  # Clone PyTorch Tests repository
-  - powershell: |
-      $env:B64Pat = [Convert]::ToBase64String([System.Text.Encoding]::UTF8.GetBytes(":$env:_ADOTOKEN"))
-      git -c http.extraHeader="Authorization: Basic $env:B64Pat" clone $env:AZURE_DEVOPS_pytorch_tests_REPO_URL
-      cd pytorch_tests
-      git checkout $(PYTORCH_TESTS_CHECKOUT_BRANCH)
-    env:
-      _ADOTOKEN: $(AZURE_DEVOPS_CLI_PAT)
-    displayName: Clone PyTorch Tests repo
-
-  # Run PyTorch Unit Tests
-  - script: call $(Build.SourcesDirectory)\pytorch_tests\scripts\windows\run.bat
-    env:
-      _ADOTOKEN: $(AZURE_DEVOPS_CLI_PAT)
-      _AZURE_STORAGE_KEY: $(AZURE_STORAGE_KEY)
-      _TS_CLONE_P: $(TS_CLONE_PASSWORD)
-      _TS_P: $(TS_PAT)
-      _TS_SM_P: $(TS_SM_PAT)
-    displayName: Run PyTorch Unit Tests

.azure_pipelines/job_templates/set-environment-variables.yml

@@ -1,131 +0,0 @@
-# Set environment variables for specific configurations
-
-parameters:
-  is_official_build: False
-  os: ''
-  cuda: ''
-
-steps:
-  # Environment configuration steps for Ubuntu builds
-  - ${{ if contains(parameters.os, 'ubuntu') }}:
-    # Set configuration specific build flags
-    - ${{ if eq(parameters.is_official_build, True) }}:
-      - bash: |
-          echo "##vso[task.setvariable variable=INSTALL_TEST;]0"
-          echo "##vso[task.setvariable variable=PYTORCH_BUILD_NUMBER;]1"
-          export PYTORCH_VERSION=$(head -c 5 ./version.txt)
-          echo "##vso[task.setvariable variable=PYTORCH_BUILD_VERSION;]$PYTORCH_VERSION.dev"
-        displayName: Set configuration-specific build flags
-
-      # Set PyTorch CPU/GPU build flags.
-      - ${{ if contains(parameters.cuda, 'cpu') }}:
-        - bash: |
-            echo "##vso[task.setvariable variable=USE_CUDA;]0"
-            echo "##vso[task.setvariable variable=PYTORCH_BUILD_VERSION;]$(PYTORCH_BUILD_VERSION).cpu"
-          displayName: Set CUDA-specific build flag for CPU builds
-
-      - ${{ if contains(parameters.cuda, 'gpu') }}:
-        - bash: |
-            echo "##vso[task.setvariable variable=USE_CUDA;]1"
-            echo "##vso[task.setvariable variable=PYTORCH_BUILD_VERSION;]$(PYTORCH_BUILD_VERSION).cu$(CUDA_VERSION)"
-          displayName: Set CUDA-specific build flag for GPU builds
-
-    # Set MKL environment variables
-    - bash: |
-        echo "##vso[task.setvariable variable=CMAKE_LIBRARY_PATH;]/opt/intel/lib:$CMAKE_LIBRARY_PATH"
-        echo "##vso[task.setvariable variable=CMAKE_INCLUDE_PATH;]/opt/intel/include:$CMAKE_INCLUDE_PATH"
-      displayName: Set MKL paths
-
-    # View current environment variables
-    - bash:
-        printenv
-      displayName: Show environment variables
-
-  # Environment configuration steps for Windows builds
-  - ${{ if contains(parameters.os, 'windows') }}:
-    # Set Conda Lib Path
-    - powershell: Write-Host "##vso[task.setvariable variable=CONDA_LIB_PATH;]C:\Miniconda\envs\$(configuration)\Library\bin"
-      displayName: Set Conda Lib Path
-
-    # Set configuration specific build flags
-    - ${{ if eq(parameters.is_official_build, True) }}:
-      - powershell: |
-          Write-Host "##vso[task.setvariable variable=INSTALL_TEST;]0"
-          Write-Host "##vso[task.setvariable variable=PYTORCH_BUILD_NUMBER;]1"
-          Set-Variable -Name PYTORCH_VERSION -Value (Get-Content .\version.txt).Substring(0,5)
-          Write-Host "##vso[task.setvariable variable=PYTORCH_BUILD_VERSION;]$PYTORCH_VERSION.dev"
-        displayName: Set configuration-specific build flags
-
-      # Set PyTorch CPU/GPU build flags..
-      - ${{ if contains(parameters.cuda, 'cpu') }}:
-        - powershell: |
-            Write-Host "##vso[task.setvariable variable=USE_CUDA;]0"
-            Write-Host "##vso[task.setvariable variable=PYTORCH_BUILD_VERSION;]$(PYTORCH_BUILD_VERSION).cpu"
-          displayName: Set CUDA-specific build flag for CPU build
-
-      - ${{ if contains(parameters.cuda, 'gpu') }}:
-        - powershell: |
-            Write-Host "##vso[task.setvariable variable=USE_CUDA;]1"
-            Write-Host "##vso[task.setvariable variable=PYTORCH_BUILD_VERSION;]$(PYTORCH_BUILD_VERSION).cu$(CUDA_VERSION)"
-          displayName: Set CUDA-specific build flag for GPU build
-
-    # Set CUDA 11.2, 10.2 or 10.1 specific build flags
-    - ${{ if eq(parameters.cuda, 'gpu') }}:
-      - powershell: |
-          Write-Host "##vso[task.setvariable variable=TORCH_CUDA_ARCH_LIST;]3.7+PTX;5.0;6.0;6.1;7.0;7.5;8.0;8.6"
-          Write-Host "##vso[task.setvariable variable=CUDA_PATH;]C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\"
-        displayName: Set CUDA 11.2 specific build flags
-        condition: eq(variables.CUDA_VERSION, '112')
-
-      - powershell: |
-          Write-Host "##vso[task.setvariable variable=TORCH_CUDA_ARCH_LIST;]3.7+PTX;5.0;6.0;6.1;7.0;7.5"
-          Write-Host "##vso[task.setvariable variable=CUDA_PATH;]C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\"
-        displayName: Set CUDA 10.2 specific build flags
-        condition: eq(variables.CUDA_VERSION, '102')
-
-      - powershell: |
-          Write-Host "##vso[task.setvariable variable=TORCH_CUDA_ARCH_LIST;]3.7+PTX;5.0;6.0;6.1;7.0;7.5"
-          Write-Host "##vso[task.setvariable variable=CUDA_PATH;]C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\"
-        displayName: Set CUDA 10.1 specific build flags
-        condition: eq(variables.CUDA_VERSION, '101')
-
-      - powershell: |
-          Write-Host "##vso[task.setvariable variable=CUDA_BIN_PATH;]$env:CUDA_PATH\bin\"
-          Write-Host "##vso[task.setvariable variable=CUDNN_ROOT;]$env:CUDA_PATH"
-          Write-Host "##vso[task.setvariable variable=CUDNN_INCLUDE_DIR;]$env:CUDA_PATH\include\"
-          Write-Host "##vso[task.setvariable variable=CUDNN_LIBRARY;]$env:CUDA_PATH\lib\x64\"
-          Write-Host "##vso[task.prependpath]$env:CUDA_PATH\bin"
-          Write-Host "##vso[task.setvariable variable=TORCH_NVCC_FLAGS;]-Xfatbin -compress-all --no-host-device-move-forward"
-          Write-Host "##vso[task.setvariable variable=THRUST_IGNORE_CUB_VERSION_CHECK;]1"
-          Write-Host "##vso[task.setvariable variable=NVTOOLSEXT_PATH;]C:\Program Files\NVIDIA Corporation\NvToolsExt\"
-        displayName: Set CUDA environment variables
-
-      - powershell: |
-          copy "$(CUDA_BIN_PATH)\cusparse*64_*.dll*" $(Build.SourcesDirectory)\torch\lib
-          copy "$(CUDA_BIN_PATH)\cublas*64_*.dll*" $(Build.SourcesDirectory)\torch\lib
-          copy "$(CUDA_BIN_PATH)\cudart*64_*.dll*" $(Build.SourcesDirectory)\torch\lib
-          copy "$(CUDA_BIN_PATH)\curand*64_*.dll*" $(Build.SourcesDirectory)\torch\lib
-          copy "$(CUDA_BIN_PATH)\cufft*64_*.dll*" $(Build.SourcesDirectory)\torch\lib
-          copy "$(CUDA_BIN_PATH)\cusolver*64_*.dll*" $(Build.SourcesDirectory)\torch\lib
-          copy "$(CUDA_BIN_PATH)\cudnn*64_*.dll*" $(Build.SourcesDirectory)\torch\lib
-          copy "$(CUDA_BIN_PATH)\nvrtc*64_*.dll*" $(Build.SourcesDirectory)\torch\lib
-          copy "C:\Program Files\NVIDIA Corporation\NvToolsExt\bin\x64\nvToolsExt64_1.dll*" $(Build.SourcesDirectory)\torch\lib
-          copy "$(CONDA_LIB_PATH)\libiomp*5md.dll" $(Build.SourcesDirectory)\torch\lib
-          copy "$(CONDA_LIB_PATH)\uv.dll" $(Build.SourcesDirectory)\torch\lib
-        displayName: Copy CUDA/cuDNN/libomp/libuv dlls to torch\lib
-
-    # Set MKL, sccache and randomtemp environment variables
-    - powershell: |
-        Write-Host "##vso[task.setvariable variable=CMAKE_INCLUDE_PATH;]$(Build.SourcesDirectory)\mkl\include"
-        Write-Host "##vso[task.setvariable variable=CMAKE_LIBRARY_PATH;]$(Build.SourcesDirectory)\mkl\lib;$env:CMAKE_LIBRARY_PATH"
-        Write-Host "##vso[task.setvariable variable=ADDITIONAL_PATH;]$(Build.SourcesDirectory)\tmp_bin"
-        Write-Host "##vso[task.setvariable variable=SCCACHE_IDLE_TIMEOUT;]1500"
-        Write-Host "##vso[task.setvariable variable=RANDOMTEMP_EXECUTABLE;]$(Build.SourcesDirectory)\tmp_bin\nvcc.exe"
-        Write-Host "##vso[task.setvariable variable=CUDA_NVCC_EXECUTABLE;]$(Build.SourcesDirectory)\tmp_bin\randomtemp.exe"
-        Write-Host "##vso[task.setvariable variable=RANDOMTEMP_BASEDIR;]$(Build.SourcesDirectory)\tmp_bin"
-      displayName: Set MKL, sccache and randomtemp environment variables
-
-    # View current environment variables
-    - script:
-        set
-      displayName: Show environment variables

.azure_pipelines/job_templates/wheel-wait-job-template.yml

@@ -1,14 +0,0 @@
-# Main logic to initiate wait for PR artifact to be ready
-
-steps:
-- task: InvokeRESTAPI@1
-  displayName: 'Wait for job success and wheel ready'
-  timeoutInMinutes: 60
-  inputs:
-    connectionType: 'connectedServiceName'
-    serviceConnection: circleciconn
-    method: 'POST'
-    headers: '{"Content-Type":"application/json", "BranchName":"$(TARGET_BRANCH_TO_CHECK_PR)", "JobName":"$(TARGET_CIRCLECI_PR)", "PlanUrl":"$(System.CollectionUri)", "ProjectId":"$(System.TeamProjectId)", "HubName":"$(System.HostType)", "PlanId":"$(System.PlanId)", "JobId":"$(System.JobId)", "TimelineId":"$(System.TimelineId)", "TaskInstanceId":"$(System.TaskInstanceId)", "AuthToken":"$(System.AccessToken)"}'
-    body: ''
-    urlSuffix: 'api/JobStatus'
-    waitForCompletion: true

.azure_pipelines/job_templates/wheel-wait-template.yml

@@ -1,49 +0,0 @@
-# Initiate 5 agentless-server waiting jobs to check on the
-# status of PR artifact builds, for a maximum wait time of
-# 5 * 60 min =300 minutes. These jobs will pass immediately
-# once targeted CircleCI build is ready.
-
-jobs:
-- job: checkjob1
-  pool: server
-  timeoutInMinutes: 60
-  continueOnError: true
-
-  steps:
-  - template: wheel-wait-job-template.yml
-
-- job: checkjob2
-  pool: server
-  timeoutInMinutes: 60
-  dependsOn: checkjob1
-  continueOnError: true
-
-  steps:
-  - template: wheel-wait-job-template.yml
-
-- job: checkjob3
-  pool: server
-  timeoutInMinutes: 60
-  dependsOn: checkjob2
-  continueOnError: true
-
-  steps:
-  - template: wheel-wait-job-template.yml
-
-- job: checkjob4
-  pool: server
-  timeoutInMinutes: 60
-  dependsOn: checkjob3
-  continueOnError: true
-
-  steps:
-  - template: wheel-wait-job-template.yml
-
-- job: checkjob5
-  pool: server
-  timeoutInMinutes: 60
-  dependsOn: checkjob4
-  continueOnError: true
-
-  steps:
-  - template: wheel-wait-job-template.yml

.azure_pipelines/nightly-pytorch-tests-pipeline.yml

@@ -1,50 +0,0 @@
-# PyTorch Nightly PyTorch Tests Builds Pipeline on Azure DevOps
-#
-# This pipeline runs custom PyTorch unit-tests on nightly
-# PyTorch wheels.
-
-stages:
-- stage: 'NightlyCustomTests'
-  displayName: 'Run custom unit tests on PyTorch wheels'
-  jobs:
-  - template: job_templates/pytorch-template-unix.yml
-    parameters:
-      name: ubuntu_1804_CPU_docker
-      pool: $(BUILD_POOL_LIN_1)
-      customMatrixes:
-        Nightly_Custom_Tests:
-          _DOCKER_IMAGE: $(DOCKER_IMAGE_LIN_1)
-          _PYTHON_VERSION: $(PYTHON_VERSION_LIN_1)
-          _CUDA_BUILD_VERSION: $(CUDA_BUILD_VERSION_LIN_1)
-          _RUN_TESTS: $(RUN_TESTS_LIN)
-
-  - template: job_templates/pytorch-template-unix.yml
-    parameters:
-      name: ubuntu_1804_GPU_docker
-      pool: $(BUILD_POOL_LIN_2)
-      customMatrixes:
-        Nightly_Custom_Tests:
-          _DOCKER_IMAGE: $(DOCKER_IMAGE_LIN_2)
-          _PYTHON_VERSION: $(PYTHON_VERSION_LIN_2)
-          _CUDA_BUILD_VERSION: $(CUDA_BUILD_VERSION_LIN_2)
-          _RUN_TESTS: $(RUN_TESTS_LIN)
-
-  - template: job_templates/pytorch-template-win.yml
-    parameters:
-      name: windows_2019_CPU
-      pool: $(BUILD_POOL_WIN_1)
-      customMatrixes:
-        Nightly_Custom_Tests:
-          _PYTHON_VERSION: $(PYTHON_VERSION_WIN_1)
-          _CUDA_BUILD_VERSION: $(CUDA_BUILD_VERSION_WIN_1)
-          _RUN_TESTS: $(RUN_TESTS_WIN)
-
-  - template: job_templates/pytorch-template-win.yml
-    parameters:
-      name: windows_2019_GPU
-      pool: $(BUILD_POOL_WIN_2)
-      customMatrixes:
-        Nightly_Custom_Tests:
-          _PYTHON_VERSION: $(PYTHON_VERSION_WIN_2)
-          _CUDA_BUILD_VERSION: $(CUDA_BUILD_VERSION_WIN_2)
-          _RUN_TESTS: $(RUN_TESTS_WIN)

.azure_pipelines/pytorch-tests-pipeline.yml

@@ -1,30 +0,0 @@
-# PyTorch PR PyTorch Tests Builds Pipeline on Azure DevOps
-#
-# This pipeline:
-#   1) ensures that CircleCI builds for a given PR
-#      have finished, and that its artifacts are
-#      ready for download
-#   2) runs custom PyTorch unit-tests on PyTorch
-#      wheels generated during PR builds.
-
-stages:
-- stage: 'EnsureArtifactsReady'
-  displayName: 'Ensure PyTorch PR Artifacts are ready'
-  jobs:
-  - template: job_templates/wheel-wait-template.yml
-
-- stage: 'PRCustomTests'
-  displayName: 'Run custom unit tests on PyTorch wheels'
-  jobs:
-  - template: job_templates/pytorch-template-unix.yml
-    parameters:
-      name: ubuntu_1804_GPU_docker
-      pool: $(BUILD_POOL_PR)
-      customMatrixes:
-        PR_Custom_Tests:
-          _PYTHON_VERSION: $(PYTHON_VERSION_PR)
-          _CUDA_BUILD_VERSION: $(CUDA_BUILD_VERSION_PR)
-          _TARGET_CIRCLECI_BUILD: $(TARGET_CIRCLECI_PR)
-          _TARGET_BRANCH_TO_CHECK: $(TARGET_BRANCH_TO_CHECK_PR)
-          _DOCKER_IMAGE: $(DOCKER_IMAGE_PR)
-          _RUN_TESTS: $(RUN_TESTS_PR)

.azure_pipelines/verify-pipeline.yml

@@ -1,224 +0,0 @@
-# PyTorch Official Builds Pipeline on Azure DevOps
-#
-# This pipeline:
-#   1) builds PyTorch on all available configurations
-#   2) verifies PyTorch artifacts by installing them in a clean environment
-#      and checking torch.__version_
-#   3) publishes official PyTorch artifacts to Azure DevOps Artifacts for consumption
-
-stages:
-- stage: 'Build'
-  displayName: 'Build PyTorch'
-  jobs:
-  - template: job_templates/build-verify-publish-template-unix.yml
-    parameters:
-      name: ubuntu_1804_CPU_docker
-      pool: 'PyTorch-Linux-CPU'
-      container_endpoint: pytorchms.azurecr.io
-      build_stage: True
-      is_official_build: True
-      os: ubuntu
-      cuda: cpu
-      customMatrixes:
-        Py_38:
-          configuration: ubuntu_1804_py_38_cpu
-          container_image: pytorchms.azurecr.io/ubuntu_1804_py_38_cpu_dev
-        Py_37:
-          configuration: ubuntu_1804_py_37_cpu
-          container_image: pytorchms.azurecr.io/ubuntu_1804_py_37_cpu_dev
-
-  - template: job_templates/build-verify-publish-template-unix.yml
-    parameters:
-      name: ubuntu_1804_GPU_docker
-      pool: 'PyTorch-Linux-GPU'
-      container_endpoint: pytorchms.azurecr.io
-      build_stage: True
-      is_official_build: True
-      os: ubuntu
-      cuda: gpu
-      customMatrixes:
-        Py_39_CUDA_112_cuDNN_810:
-          configuration: ubuntu_1804_py_39_cuda_112_cudnn_810
-          container_image: pytorchms.azurecr.io/ubuntu_1804_py_39_cuda_112_cudnn_8_dev
-          CUDA_VERSION: 112
-        Py_38_CUDA_102_cuDNN_810:
-          configuration: ubuntu_1804_py_38_cuda_102_cudnn_810
-          container_image: pytorchms.azurecr.io/ubuntu_1804_py_38_cuda_102_cudnn_8_dev
-          CUDA_VERSION: 102
-        Py_37_CUDA_101_cuDNN_765:
-          configuration: ubuntu_1804_py_37_cuda_101_cudnn_765
-          container_image: pytorchms.azurecr.io/ubuntu_1804_py_37_cuda_101_cudnn_7_dev
-          CUDA_VERSION: 101
-
-  - template: job_templates/build-verify-publish-template-win.yml
-    parameters:
-      name: windows_2019_CPU
-      pool: 'PyTorch-Win-CPU'
-      build_stage: True
-      is_official_build: True
-      os: windows
-      cuda: cpu
-      customMatrixes:
-        Py_38:
-          configuration: windows_2019_py_38_cpu
-        Py_37:
-          configuration: windows_2019_py_37_cpu
-
-  - template: job_templates/build-verify-publish-template-win.yml
-    parameters:
-      name: windows_2019_GPU
-      pool: 'PyTorch-Win-GPU'
-      build_stage: True
-      is_official_build: True
-      os: windows
-      cuda: gpu
-      customMatrixes:
-        Py_39_CUDA_112_cuDNN_810:
-          configuration: windows_2019_py_39_cuda_112_cudnn_810
-          CUDA_VERSION: 112
-        Py_38_CUDA_102_cuDNN_765:
-          configuration: windows_2019_py_38_cuda_102_cudnn_765
-          CUDA_VERSION: 102
-        Py_37_CUDA_101_cuDNN_764:
-          configuration: windows_2019_py_37_cuda_101_cudnn_764
-          CUDA_VERSION: 101
-
-- stage: 'Verify'
-  displayName: 'Verify PyTorch wheels'
-  dependsOn: Build
-  condition: succeeded()
-  jobs:
-  - template: job_templates/build-verify-publish-template-unix.yml
-    parameters:
-      name: ubuntu_1804_CPU_docker
-      pool: 'PyTorch-Linux-CPU'
-      container_endpoint: pytorchms.azurecr.io
-      verify_stage: True
-      is_official_build: True
-      customMatrixes:
-        Py_38:
-          configuration: ubuntu_1804_py_38_cpu
-          container_image: pytorchms.azurecr.io/ubuntu_1804_py_38_cpu_dev
-        Py_37:
-          configuration: ubuntu_1804_py_37_cpu
-          container_image: pytorchms.azurecr.io/ubuntu_1804_py_37_cpu_dev
-
-  - template: job_templates/build-verify-publish-template-unix.yml
-    parameters:
-      name: ubuntu_1804_GPU_docker
-      pool: 'PyTorch-Linux-GPU'
-      container_endpoint: pytorchms.azurecr.io
-      verify_stage: True
-      is_official_build: True
-      customMatrixes:
-        Py_39_CUDA_112_cuDNN_810:
-          configuration: ubuntu_1804_py_39_cuda_112_cudnn_810
-          container_image: pytorchms.azurecr.io/ubuntu_1804_py_39_cuda_112_cudnn_8_dev
-          CUDA_VERSION: 112
-        Py_38_CUDA_102_cuDNN_810:
-          configuration: ubuntu_1804_py_38_cuda_102_cudnn_810
-          container_image: pytorchms.azurecr.io/ubuntu_1804_py_38_cuda_102_cudnn_8_dev
-          CUDA_VERSION: 102
-        Py_37_CUDA_101_cuDNN_765:
-          configuration: ubuntu_1804_py_37_cuda_101_cudnn_765
-          container_image: pytorchms.azurecr.io/ubuntu_1804_py_37_cuda_101_cudnn_7_dev
-          CUDA_VERSION: 101
-
-  - template: job_templates/build-verify-publish-template-win.yml
-    parameters:
-      name: windows_2019_CPU
-      pool: 'PyTorch-Win-CPU'
-      verify_stage: True
-      is_official_build: True
-      customMatrixes:
-        Py_38:
-          configuration: windows_2019_py_38_cpu
-        Py_37:
-          configuration: windows_2019_py_37_cpu
-
-  - template: job_templates/build-verify-publish-template-win.yml
-    parameters:
-      name: windows_2019_GPU
-      pool: 'PyTorch-Win-GPU'
-      verify_stage: True
-      is_official_build: True
-      customMatrixes:
-        Py_39_CUDA_112_cuDNN_810:
-          configuration: windows_2019_py_39_cuda_112_cudnn_810
-          CUDA_VERSION: 112
-        Py_38_CUDA_102_cuDNN_765:
-          configuration: windows_2019_py_38_cuda_102_cudnn_765
-          CUDA_VERSION: 102
-        Py_37_CUDA_101_cuDNN_764:
-          configuration: windows_2019_py_37_cuda_101_cudnn_764
-          CUDA_VERSION: 101
-
-- stage: 'Publish'
-  displayName: 'Publish PyTorch wheels'
-  dependsOn: Verify
-  condition: succeeded()
-  jobs:
-  - template: job_templates/build-verify-publish-template-unix.yml
-    parameters:
-      name: ubuntu_1804_CPU_docker
-      pool: 'PyTorch-Linux-CPU'
-      container_endpoint: pytorchms.azurecr.io
-      publish_stage: True
-      is_official_build: True
-      customMatrixes:
-        Py_38:
-          configuration: ubuntu_1804_py_38_cpu
-          container_image: pytorchms.azurecr.io/ubuntu_1804_py_38_cpu_dev
-        Py_37:
-          configuration: ubuntu_1804_py_37_cpu
-          container_image: pytorchms.azurecr.io/ubuntu_1804_py_37_cpu_dev
-
-  - template: job_templates/build-verify-publish-template-unix.yml
-    parameters:
-      name: ubuntu_1804_GPU_docker
-      pool: 'PyTorch-Linux-GPU'
-      container_endpoint: pytorchms.azurecr.io
-      publish_stage: True
-      is_official_build: True
-      customMatrixes:
-        Py_39_CUDA_112_cuDNN_810:
-          configuration: ubuntu_1804_py_39_cuda_112_cudnn_810
-          container_image: pytorchms.azurecr.io/ubuntu_1804_py_39_cuda_112_cudnn_8_dev
-          CUDA_VERSION: 112
-        Py_38_CUDA_102_cuDNN_810:
-          configuration: ubuntu_1804_py_38_cuda_102_cudnn_810
-          container_image: pytorchms.azurecr.io/ubuntu_1804_py_38_cuda_102_cudnn_8_dev
-          CUDA_VERSION: 102
-        Py_37_CUDA_101_cuDNN_765:
-          configuration: ubuntu_1804_py_37_cuda_101_cudnn_765
-          container_image: pytorchms.azurecr.io/ubuntu_1804_py_37_cuda_101_cudnn_7_dev
-          CUDA_VERSION: 101
-
-  - template: job_templates/build-verify-publish-template-win.yml
-    parameters:
-      name: windows_2019_CPU
-      pool: 'PyTorch-Win-CPU'
-      publish_stage: True
-      is_official_build: True
-      customMatrixes:
-        Py_38:
-          configuration: windows_2019_py_38_cpu
-        Py_37:
-          configuration: windows_2019_py_37_cpu
-
-  - template: job_templates/build-verify-publish-template-win.yml
-    parameters:
-      name: windows_2019_GPU
-      pool: 'PyTorch-Win-GPU'
-      publish_stage: True
-      is_official_build: True
-      customMatrixes:
-        Py_39_CUDA_112_cuDNN_810:
-          configuration: windows_2019_py_39_cuda_112_cudnn_810
-          CUDA_VERSION: 112
-        Py_38_CUDA_102_cuDNN_765:
-          configuration: windows_2019_py_38_cuda_102_cudnn_765
-          CUDA_VERSION: 102
-        Py_37_CUDA_101_cuDNN_764:
-          configuration: windows_2019_py_37_cuda_101_cudnn_764
-          CUDA_VERSION: 101

.circleci/cimodel/data/binary_build_data.py

@@ -55,15 +55,14 @@ CONFIG_TREE_DATA = OrderedDict(
     macos_arm64=([None], OrderedDict(
         wheel=[
             "3.8",
-            "3.9",
         ],
         conda=[
             "3.8",
-            "3.9",
         ],
     )),
+    # Skip CUDA-9.2 builds on Windows
     windows=(
-        [v for v in dimensions.GPU_VERSIONS if v not in dimensions.ROCM_VERSION_LABELS],
+        [v for v in dimensions.GPU_VERSIONS if v not in ['cuda92'] + dimensions.ROCM_VERSION_LABELS],
         OrderedDict(
             wheel=dimensions.STANDARD_PYTHON_VERSIONS,
             conda=dimensions.STANDARD_PYTHON_VERSIONS,

.circleci/cimodel/data/binary_build_definitions.py

@@ -27,19 +27,7 @@ class Conf(object):
 
     def gen_docker_image(self):
         if self.gcc_config_variant == 'gcc5.4_cxx11-abi':
-            if self.gpu_version is None:
-                return miniutils.quote("pytorch/libtorch-cxx11-builder:cpu")
-            else:
-                return miniutils.quote(
-                    f"pytorch/libtorch-cxx11-builder:{self.gpu_version}"
-                )
-        if self.pydistro == "conda":
-            if self.gpu_version is None:
-                return miniutils.quote("pytorch/conda-builder:cpu")
-            else:
-                return miniutils.quote(
-                    f"pytorch/conda-builder:{self.gpu_version}"
-                )
+            return miniutils.quote("pytorch/pytorch-binary-docker-image-ubuntu16.04:latest")
 
         docker_word_substitution = {
             "manywheel": "manylinux",

.circleci/cimodel/data/dimensions.py

@@ -1,14 +1,14 @@
 PHASES = ["build", "test"]
 
 CUDA_VERSIONS = [
+    "101",
     "102",
     "111",
 ]
 
 ROCM_VERSIONS = [
+    "3.10",
     "4.0.1",
-    "4.1",
-    "4.2",
 ]
 
 ROCM_VERSION_LABELS = ["rocm" + v for v in ROCM_VERSIONS]

.circleci/cimodel/data/pytorch_build_data.py

@@ -32,9 +32,24 @@ CONFIG_TREE_DATA = [
             ]),
         ]),
         ("cuda", [
+            ("9.2", [
+                ("3.6", [
+                    X(True),
+                    ("cuda_gcc_override", [
+                        ("gcc5.4", [
+                            ('build_only', [XImportant(True)]),
+                        ]),
+                    ]),
+                ])
+            ]),
+            ("10.1", [
+                ("3.6", [
+                    ('build_only', [X(True)]),
+                ]),
+            ]),
             ("10.2", [
                 ("3.6", [
-                    ("shard_test", [X(True)]),
+                    ("shard_test", [XImportant(True)]),
                     ("libtorch", [
                         (True, [
                             ('build_only', [X(True)]),
@@ -44,10 +59,10 @@ CONFIG_TREE_DATA = [
             ]),
             ("11.1", [
                 ("3.8", [
-                    ("shard_test", [XImportant(True)]),
+                    X(True),
                     ("libtorch", [
                         (True, [
-                            ('build_only', [X(True)]),
+                            ('build_only', [XImportant(True)]),
                         ]),
                     ]),
                 ]),
@@ -57,9 +72,7 @@ CONFIG_TREE_DATA = [
     ("bionic", [
         ("clang", [
             ("9", [
-                ("3.6", [
-                    ("noarch", [XImportant(True)]),
-                ]),
+                XImportant("3.6"),
             ]),
             ("9", [
                 ("3.6", [
@@ -68,13 +81,6 @@ CONFIG_TREE_DATA = [
                 ]),
             ]),
         ]),
-        ("cuda", [
-            ("10.2", [
-                ("3.9", [
-                    ("shard_test", [XImportant(True)]),
-                ]),
-            ]),
-        ]),
         ("gcc", [
             ("9", [
                 ("3.8", [
@@ -145,8 +151,6 @@ class PyVerConfigNode(TreeConfigNode):
     def init2(self, node_name):
         self.props["pyver"] = node_name
         self.props["abbreviated_pyver"] = get_major_pyver(node_name)
-        if node_name == "3.9":
-            self.props["abbreviated_pyver"] = "py3.9"
 
     # noinspection PyMethodMayBeStatic
     def child_constructor(self):
@@ -163,10 +167,8 @@ class ExperimentalFeatureConfigNode(TreeConfigNode):
         next_nodes = {
             "asan": AsanConfigNode,
             "xla": XlaConfigNode,
-            "mlc": MLCConfigNode,
             "vulkan": VulkanConfigNode,
             "parallel_tbb": ParallelTBBConfigNode,
-            "noarch": NoarchConfigNode,
             "parallel_native": ParallelNativeConfigNode,
             "onnx": ONNXConfigNode,
             "libtorch": LibTorchConfigNode,
@@ -201,16 +203,6 @@ class XlaConfigNode(TreeConfigNode):
     def child_constructor(self):
         return ImportantConfigNode
 
-class MLCConfigNode(TreeConfigNode):
-    def modify_label(self, label):
-        return "MLC=" + str(label)
-
-    def init2(self, node_name):
-        self.props["is_mlc"] = node_name
-
-    def child_constructor(self):
-        return ImportantConfigNode
-
 
 class AsanConfigNode(TreeConfigNode):
     def modify_label(self, label):
@@ -256,14 +248,6 @@ class ParallelTBBConfigNode(TreeConfigNode):
         return ImportantConfigNode
 
 
-class NoarchConfigNode(TreeConfigNode):
-    def init2(self, node_name):
-        self.props["is_noarch"] = node_name
-
-    def child_constructor(self):
-        return ImportantConfigNode
-
-
 class ParallelNativeConfigNode(TreeConfigNode):
     def modify_label(self, label):
         return "PARALLELNATIVE=" + str(label)

.circleci/cimodel/data/pytorch_build_definitions.py

@@ -273,7 +273,6 @@ def instantiate_configs():
         is_xla = fc.find_prop("is_xla") or False
         is_asan = fc.find_prop("is_asan") or False
         is_coverage = fc.find_prop("is_coverage") or False
-        is_noarch = fc.find_prop("is_noarch") or False
         is_onnx = fc.find_prop("is_onnx") or False
         is_pure_torch = fc.find_prop("is_pure_torch") or False
         is_vulkan = fc.find_prop("is_vulkan") or False
@@ -317,9 +316,6 @@ def instantiate_configs():
             parms_list_ignored_for_docker_image.append("coverage")
             python_version = fc.find_prop("pyver")
 
-        if is_noarch:
-            parms_list_ignored_for_docker_image.append("noarch")
-
         if is_onnx:
             parms_list.append("onnx")
             python_version = fc.find_prop("pyver")

.circleci/cimodel/data/simple/android_definitions.py

@@ -2,7 +2,6 @@ import cimodel.data.simple.util.branch_filters as branch_filters
 from cimodel.data.simple.util.docker_constants import (
     DOCKER_IMAGE_NDK, DOCKER_REQUIREMENT_NDK
 )
-import cimodel.lib.miniutils as miniutils
 
 
 class AndroidJob:
@@ -52,15 +51,13 @@ class AndroidGradleJob:
                  template_name,
                  dependencies,
                  is_master_only=True,
-                 is_pr_only=False,
-                 extra_props=tuple()):
+                 is_pr_only=False):
 
         self.job_name = job_name
         self.template_name = template_name
         self.dependencies = dependencies
         self.is_master_only = is_master_only
         self.is_pr_only = is_pr_only
-        self.extra_props = dict(extra_props)
 
     def gen_tree(self):
 
@@ -73,8 +70,6 @@ class AndroidGradleJob:
             props_dict["filters"] = branch_filters.gen_filter_dict(branch_filters.NON_PR_BRANCH_LIST)
         elif self.is_pr_only:
             props_dict["filters"] = branch_filters.gen_filter_dict(branch_filters.PR_BRANCH_LIST)
-        if self.extra_props:
-            props_dict.update(self.extra_props)
 
         return [{self.template_name: props_dict}]
 
@@ -96,15 +91,6 @@ WORKFLOW_DATA = [
         [DOCKER_REQUIREMENT_NDK],
         is_master_only=False,
         is_pr_only=True),
-    AndroidGradleJob(
-        "pytorch-linux-xenial-py3-clang5-android-ndk-r19c-gradle-custom-build-single-full-jit",
-        "pytorch_android_gradle_custom_build_single",
-        [DOCKER_REQUIREMENT_NDK],
-        is_master_only=False,
-        is_pr_only=True,
-        extra_props=tuple({
-            "lite_interpreter": miniutils.quote(str(int(False)))
-        }.items())),
     AndroidGradleJob(
         "pytorch-linux-xenial-py3-clang5-android-ndk-r19c-gradle-build",
         "pytorch_android_gradle_build",

.circleci/cimodel/data/simple/binary_smoketest.py

@@ -77,7 +77,7 @@ WORKFLOW_DATA = [
         ["libtorch", "3.7m", "cpu", "devtoolset7"],
         "pytorch/manylinux-cuda102",
         "binary_linux_libtorch_3_7m_cpu_devtoolset7_shared-with-deps_build",
-        is_master_only=True,
+        is_master_only=False,
         has_libtorch_variant=True,
     ),
     SmoketestJob(
@@ -109,14 +109,14 @@ WORKFLOW_DATA = [
         ["libtorch", "3.7", "cpu", "debug"],
         None,
         "binary_windows_libtorch_3_7_cpu_debug_build",
-        is_master_only=True,
+        is_master_only=False,
     ),
     SmoketestJob(
         "binary_windows_build",
         ["libtorch", "3.7", "cpu", "release"],
         None,
         "binary_windows_libtorch_3_7_cpu_release_build",
-        is_master_only=True,
+        is_master_only=False,
     ),
     SmoketestJob(
         "binary_windows_build",
@@ -131,7 +131,7 @@ WORKFLOW_DATA = [
         ["libtorch", "3.7", "cpu", "debug"],
         None,
         "binary_windows_libtorch_3_7_cpu_debug_test",
-        is_master_only=True,
+        is_master_only=False,
         requires=["binary_windows_libtorch_3_7_cpu_debug_build"],
     ),
     SmoketestJob(
@@ -173,7 +173,7 @@ WORKFLOW_DATA = [
         ["libtorch", "3.7m", "cpu", "devtoolset7"],
         "pytorch/manylinux-cuda102",
         "binary_linux_libtorch_3_7m_cpu_devtoolset7_shared-with-deps_test",
-        is_master_only=True,
+        is_master_only=False,
         requires=["binary_linux_libtorch_3_7m_cpu_devtoolset7_shared-with-deps_build"],
         has_libtorch_variant=True,
     ),
@@ -182,7 +182,7 @@ WORKFLOW_DATA = [
         ["libtorch", "3.7m", "cpu", "gcc5.4_cxx11-abi"],
         "pytorch/pytorch-binary-docker-image-ubuntu16.04:latest",
         "binary_linux_libtorch_3_7m_cpu_gcc5_4_cxx11-abi_shared-with-deps_test",
-        is_master_only=True,
+        is_master_only=False,
         requires=["binary_linux_libtorch_3_7m_cpu_gcc5_4_cxx11-abi_shared-with-deps_build"],
         has_libtorch_variant=True,
     ),

.circleci/cimodel/data/simple/docker_definitions.py

@@ -6,16 +6,21 @@ from cimodel.data.simple.util.branch_filters import gen_filter_dict, RC_PATTERN
 
 # TODO: make this generated from a matrix rather than just a static list
 IMAGE_NAMES = [
+    "pytorch-linux-bionic-cuda11.1-cudnn8-py3.6-gcc9",
+    "pytorch-linux-bionic-cuda11.1-cudnn8-py3.8-gcc9",
+    "pytorch-linux-bionic-cuda11.0-cudnn8-py3.6-gcc9",
+    "pytorch-linux-bionic-cuda11.0-cudnn8-py3.8-gcc9",
     "pytorch-linux-bionic-cuda10.2-cudnn7-py3.8-gcc9",
-    "pytorch-linux-bionic-cuda10.2-cudnn7-py3.9-gcc7",
     "pytorch-linux-bionic-py3.6-clang9",
     "pytorch-linux-bionic-cuda10.2-cudnn7-py3.6-clang9",
     "pytorch-linux-bionic-py3.8-gcc9",
     "pytorch-linux-xenial-cuda10-cudnn7-py3-gcc7",
     "pytorch-linux-xenial-cuda10.1-cudnn7-py3-gcc7",
     "pytorch-linux-xenial-cuda10.2-cudnn7-py3-gcc7",
+    "pytorch-linux-xenial-cuda11.0-cudnn8-py3-gcc7",
     "pytorch-linux-xenial-cuda11.1-cudnn8-py3-gcc7",
-    "pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7",
+    "pytorch-linux-xenial-cuda9.2-cudnn7-py3-gcc5.4",
+    "pytorch-linux-xenial-cuda9.2-cudnn7-py3-gcc7",
     "pytorch-linux-xenial-py3-clang5-android-ndk-r19c",
     "pytorch-linux-xenial-py3-clang5-asan",
     "pytorch-linux-xenial-py3-clang7-onnx",
@@ -25,9 +30,7 @@ IMAGE_NAMES = [
     "pytorch-linux-xenial-py3.6-gcc7.2",
     "pytorch-linux-xenial-py3.6-gcc7",
     "pytorch-linux-bionic-rocm3.9-py3.6",
-    "pytorch-linux-bionic-rocm4.0.1-py3.6",
-    "pytorch-linux-bionic-rocm4.1-py3.6",
-    "pytorch-linux-bionic-rocm4.2-py3.6",
+    "pytorch-linux-bionic-rocm3.10-py3.6",
 ]
 
 

.circleci/cimodel/data/simple/ios_definitions.py

@@ -61,20 +61,10 @@ class IOSJob:
 
 
 WORKFLOW_DATA = [
-    IOSJob(XCODE_VERSION, ArchVariant("x86_64"), is_org_member_context=False, extra_props={
-        "lite_interpreter": miniutils.quote(str(int(True)))}),
-    IOSJob(XCODE_VERSION, ArchVariant("x86_64", "full_jit"), is_org_member_context=False, extra_props={
-        "lite_interpreter": miniutils.quote(str(int(False)))}),
-    IOSJob(XCODE_VERSION, ArchVariant("arm64"), extra_props={
-        "lite_interpreter": miniutils.quote(str(int(True)))}),
-    IOSJob(XCODE_VERSION, ArchVariant("arm64", "metal"), extra_props={
-        "use_metal": miniutils.quote(str(int(True))),
-        "lite_interpreter": miniutils.quote(str(int(True)))}),
-    IOSJob(XCODE_VERSION, ArchVariant("arm64", "full_jit"), extra_props={
-        "lite_interpreter": miniutils.quote(str(int(False)))}),
-    IOSJob(XCODE_VERSION, ArchVariant("arm64", "custom"), extra_props={
-        "op_list": "mobilenetv2.yaml",
-        "lite_interpreter": miniutils.quote(str(int(True)))}),
+    IOSJob(XCODE_VERSION, ArchVariant("x86_64"), is_org_member_context=False),
+    IOSJob(XCODE_VERSION, ArchVariant("arm64")),
+    IOSJob(XCODE_VERSION, ArchVariant("arm64", "metal"), extra_props={"use_metal": miniutils.quote(str(int(True)))}),
+    IOSJob(XCODE_VERSION, ArchVariant("arm64", "custom"), extra_props={"op_list": "mobilenetv2.yaml"}),
 ]
 
 

.circleci/cimodel/data/simple/macos_definitions.py

@@ -1,22 +1,14 @@
 class MacOsJob:
-    def __init__(self, os_version, is_build=False, is_test=False, extra_props=tuple()):
-        # extra_props is tuple type, because mutable data structures for argument defaults
-        # is not recommended.
+    def __init__(self, os_version, is_test=False):
         self.os_version = os_version
-        self.is_build = is_build
         self.is_test = is_test
-        self.extra_props = dict(extra_props)
 
     def gen_tree(self):
         non_phase_parts = ["pytorch", "macos", self.os_version, "py3"]
 
-        extra_name_list = [name for name, exist in self.extra_props.items() if exist]
-        full_job_name_list = non_phase_parts + extra_name_list + [
-            'build' if self.is_build else None,
-            'test' if self.is_test else None,
-        ]
+        phase_name = "test" if self.is_test else "build"
 
-        full_job_name = "_".join(list(filter(None, full_job_name_list)))
+        full_job_name = "_".join(non_phase_parts + [phase_name])
 
         test_build_dependency = "_".join(non_phase_parts + ["build"])
         extra_dependencies = [test_build_dependency] if self.is_test else []
@@ -29,23 +21,7 @@ class MacOsJob:
         return [{full_job_name: props_dict}]
 
 
-WORKFLOW_DATA = [
-    MacOsJob("10_15", is_build=True),
-    MacOsJob("10_13", is_build=True),
-    MacOsJob(
-        "10_13",
-        is_build=False,
-        is_test=True,
-    ),
-    MacOsJob(
-        "10_13",
-        is_build=True,
-        is_test=True,
-        extra_props=tuple({
-            "lite_interpreter": True
-        }.items()),
-    )
-]
+WORKFLOW_DATA = [MacOsJob("10_13"), MacOsJob("10_13", True)]
 
 
 def get_workflow_jobs():

.circleci/cimodel/data/simple/mobile_definitions.py

@@ -65,12 +65,6 @@ WORKFLOW_DATA = [
         ["custom", "build", "dynamic"]
     ),
 
-    MobileJob(
-        DOCKER_IMAGE_NDK,
-        [DOCKER_REQUIREMENT_NDK],
-        ["custom", "build", "static"]
-    ),
-
     # Use LLVM-DEV toolchain in android-ndk-r19c docker image
     # Most of this CI is already covered by "mobile-custom-build-dynamic" job
     MobileJob(

.circleci/cimodel/data/windows_build_definitions.py

@@ -1,5 +1,5 @@
+import cimodel.data.simple.util.branch_filters
 import cimodel.lib.miniutils as miniutils
-from cimodel.data.simple.util.branch_filters import gen_filter_dict, RC_PATTERN, NON_PR_BRANCH_LIST
 from cimodel.data.simple.util.versions import CudaVersion
 
 
@@ -10,19 +10,13 @@ class WindowsJob:
         vscode_spec,
         cuda_version,
         force_on_cpu=False,
-        multi_gpu=False,
-        master_only=False,
-        nightly_only=False,
-        master_and_nightly=False
+        master_only_pred=lambda job: job.vscode_spec.year != 2019,
     ):
         self.test_index = test_index
         self.vscode_spec = vscode_spec
         self.cuda_version = cuda_version
         self.force_on_cpu = force_on_cpu
-        self.multi_gpu = multi_gpu
-        self.master_only = master_only
-        self.nightly_only = nightly_only
-        self.master_and_nightly = master_and_nightly
+        self.master_only_pred = master_only_pred
 
     def gen_tree(self):
 
@@ -31,10 +25,7 @@ class WindowsJob:
             base_phase if self.test_index is None else base_phase + str(self.test_index)
         )
 
-        key_parts = ["pytorch", "windows", base_phase]
-        if self.multi_gpu:
-            key_parts.append('multigpu')
-        key_name = "_".join(key_parts)
+        key_name = "_".join(["pytorch", "windows", base_phase])
 
         cpu_forcing_name_parts = ["on", "cpu"] if self.force_on_cpu else []
 
@@ -70,47 +61,35 @@ class WindowsJob:
 
         is_running_on_cuda = bool(self.cuda_version) and not self.force_on_cpu
 
-        if self.multi_gpu:
-            props_dict = {"requires": prerequisite_jobs}
-        else:
-            props_dict = {
-                "build_environment": build_environment_string,
-                "python_version": miniutils.quote("3.6"),
-                "vc_version": miniutils.quote(self.vscode_spec.dotted_version()),
-                "vc_year": miniutils.quote(str(self.vscode_spec.year)),
-                "vc_product": self.vscode_spec.get_product(),
-                "use_cuda": miniutils.quote(str(int(is_running_on_cuda))),
-                "requires": prerequisite_jobs,
-            }
+        props_dict = {
+            "build_environment": build_environment_string,
+            "python_version": miniutils.quote("3.6"),
+            "vc_version": miniutils.quote(self.vscode_spec.dotted_version()),
+            "vc_year": miniutils.quote(str(self.vscode_spec.year)),
+            "vc_product": self.vscode_spec.get_product(),
+            "use_cuda": miniutils.quote(str(int(is_running_on_cuda))),
+            "requires": prerequisite_jobs,
+        }
 
-        if self.master_only:
+        if self.master_only_pred(self):
             props_dict[
                 "filters"
-            ] = gen_filter_dict()
-        elif self.nightly_only:
-            props_dict[
-                "filters"
-            ] = gen_filter_dict(branches_list=["nightly"], tags_list=RC_PATTERN)
-        elif self.master_and_nightly:
-            props_dict[
-                "filters"
-            ] = gen_filter_dict(branches_list=NON_PR_BRANCH_LIST + ["nightly"], tags_list=RC_PATTERN)
+            ] = cimodel.data.simple.util.branch_filters.gen_filter_dict()
 
         name_parts = base_name_parts + cpu_forcing_name_parts + [numbered_phase]
 
-        if not self.multi_gpu:
-            if base_phase == "test":
-                test_name = "-".join(["pytorch", "windows", numbered_phase])
-                props_dict["test_name"] = test_name
+        if base_phase == "test":
+            test_name = "-".join(["pytorch", "windows", numbered_phase])
+            props_dict["test_name"] = test_name
 
-                if is_running_on_cuda:
-                    props_dict["executor"] = "windows-with-nvidia-gpu"
+            if is_running_on_cuda:
+                props_dict["executor"] = "windows-with-nvidia-gpu"
 
-            props_dict["cuda_version"] = (
-                miniutils.quote(str(self.cuda_version))
-                if self.cuda_version
-                else "cpu"
-            )
+        props_dict["cuda_version"] = (
+            miniutils.quote(str(self.cuda_version))
+            if self.cuda_version
+            else "cpu"
+        )
 
         props_dict["name"] = "_".join(name_parts)
 
@@ -129,7 +108,7 @@ class VcSpec:
         return [self.prefixed_year()] + self.version_elements
 
     def get_product(self):
-        return "BuildTools"
+        return "Community" if self.year == 2019 else "BuildTools"
 
     def dotted_version(self):
         return ".".join(self.version_elements)
@@ -140,23 +119,28 @@ class VcSpec:
     def render(self):
         return "_".join(self.get_elements())
 
+def FalsePred(_):
+    return False
+
+def TruePred(_):
+    return True
+
 _VC2019 = VcSpec(2019)
 
 WORKFLOW_DATA = [
     # VS2019 CUDA-10.1
-    WindowsJob(None, _VC2019, CudaVersion(10, 1), master_only=True),
-    WindowsJob(1, _VC2019, CudaVersion(10, 1), master_only=True),
-    WindowsJob(2, _VC2019, CudaVersion(10, 1), master_only=True),
+    WindowsJob(None, _VC2019, CudaVersion(10, 1)),
+    WindowsJob(1, _VC2019, CudaVersion(10, 1)),
+    WindowsJob(2, _VC2019, CudaVersion(10, 1)),
     # VS2019 CUDA-11.1
     WindowsJob(None, _VC2019, CudaVersion(11, 1)),
-    WindowsJob(1, _VC2019, CudaVersion(11, 1), master_only=True),
-    WindowsJob(2, _VC2019, CudaVersion(11, 1), master_only=True),
-    WindowsJob('_azure_multi_gpu', _VC2019, CudaVersion(11, 1), multi_gpu=True, nightly_only=True),
+    WindowsJob(1, _VC2019, CudaVersion(11, 1), master_only_pred=TruePred),
+    WindowsJob(2, _VC2019, CudaVersion(11, 1), master_only_pred=TruePred),
     # VS2019 CPU-only
     WindowsJob(None, _VC2019, None),
-    WindowsJob(1, _VC2019, None),
-    WindowsJob(2, _VC2019, None),
-    WindowsJob(1, _VC2019, CudaVersion(10, 1), force_on_cpu=True, master_only=True),
+    WindowsJob(1, _VC2019, None, master_only_pred=TruePred),
+    WindowsJob(2, _VC2019, None, master_only_pred=TruePred),
+    WindowsJob(1, _VC2019, CudaVersion(10, 1), force_on_cpu=True, master_only_pred=TruePred),
 ]
 
 

.circleci/docker/README.md

@@ -12,20 +12,8 @@ each image as the `BUILD_ENVIRONMENT` environment variable.
 
 See `build.sh` for valid build environments (it's the giant switch).
 
-Docker builds are now defined with `.circleci/cimodel/data/simple/docker_definitions.py`
-
 ## Contents
 
 * `build.sh` -- dispatch script to launch all builds
 * `common` -- scripts used to execute individual Docker build stages
 * `ubuntu-cuda` -- Dockerfile for Ubuntu image with CUDA support for nvidia-docker
-
-## Usage
-
-```bash
-# Build a specific image
-./build.sh pytorch-linux-bionic-py3.8-gcc9 -t myimage:latest
-
-# Set flags (see build.sh) and build image
-sudo bash -c 'BREAKPAD=1 ./build.sh pytorch-linux-bionic-py3.8-gcc9 -t myimage:latest
-```

.circleci/docker/android/build.gradle

@@ -20,8 +20,10 @@ buildscript {
     }
 
     dependencies {
-        classpath 'com.android.tools.build:gradle:4.1.2'
-        classpath 'com.vanniktech:gradle-maven-publish-plugin:0.14.2'
+        classpath 'com.android.tools.build:gradle:3.3.2'
+        classpath "com.jfrog.bintray.gradle:gradle-bintray-plugin:1.8.0"
+        classpath "com.github.dcendents:android-maven-gradle-plugin:2.1"
+        classpath "org.jfrog.buildinfo:build-info-extractor-gradle:4.9.8"
     }
 }
 

.circleci/docker/build.sh

@@ -88,7 +88,6 @@ case "$image" in
     DB=yes
     VISION=yes
     KATEX=yes
-    BREAKPAD=yes
     ;;
   pytorch-linux-xenial-py3.6-gcc7.2)
     ANACONDA_PYTHON_VERSION=3.6
@@ -101,7 +100,24 @@ case "$image" in
     PROTOBUF=yes
     DB=yes
     VISION=yes
-    BREAKPAD=yes
+    ;;
+  pytorch-linux-xenial-cuda9.2-cudnn7-py3-gcc5.4)
+    CUDA_VERSION=9.2
+    CUDNN_VERSION=7
+    ANACONDA_PYTHON_VERSION=3.6
+    GCC_VERSION=5
+    PROTOBUF=yes
+    DB=yes
+    VISION=yes
+    ;;
+  pytorch-linux-xenial-cuda9.2-cudnn7-py3-gcc7)
+    CUDA_VERSION=9.2
+    CUDNN_VERSION=7
+    ANACONDA_PYTHON_VERSION=3.6
+    GCC_VERSION=7
+    PROTOBUF=yes
+    DB=yes
+    VISION=yes
     ;;
   pytorch-linux-xenial-cuda10-cudnn7-py3-gcc7)
     CUDA_VERSION=10.0
@@ -111,7 +127,6 @@ case "$image" in
     PROTOBUF=yes
     DB=yes
     VISION=yes
-    BREAKPAD=yes
     ;;
   pytorch-linux-xenial-cuda10.1-cudnn7-py3-gcc7)
     CUDA_VERSION=10.1
@@ -122,7 +137,6 @@ case "$image" in
     DB=yes
     VISION=yes
     KATEX=yes
-    BREAKPAD=yes
     ;;
   pytorch-linux-xenial-cuda10.2-cudnn7-py3-gcc7)
     CUDA_VERSION=10.2
@@ -133,7 +147,16 @@ case "$image" in
     DB=yes
     VISION=yes
     KATEX=yes
-    BREAKPAD=yes
+    ;;
+  pytorch-linux-xenial-cuda11.0-cudnn8-py3-gcc7)
+    CUDA_VERSION=11.0
+    CUDNN_VERSION=8
+    ANACONDA_PYTHON_VERSION=3.6
+    GCC_VERSION=7
+    PROTOBUF=yes
+    DB=yes
+    VISION=yes
+    KATEX=yes
     ;;
   pytorch-linux-xenial-cuda11.1-cudnn8-py3-gcc7)
     CUDA_VERSION=11.1
@@ -144,18 +167,6 @@ case "$image" in
     DB=yes
     VISION=yes
     KATEX=yes
-    BREAKPAD=yes
-    ;;
-  pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7)
-    CUDA_VERSION=11.3.0 # Deviating from major.minor to conform to nvidia's Docker image names
-    CUDNN_VERSION=8
-    ANACONDA_PYTHON_VERSION=3.6
-    GCC_VERSION=7
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    KATEX=yes
-    BREAKPAD=yes
     ;;
   pytorch-linux-xenial-py3-clang5-asan)
     ANACONDA_PYTHON_VERSION=3.6
@@ -163,7 +174,6 @@ case "$image" in
     PROTOBUF=yes
     DB=yes
     VISION=yes
-    BREAKPAD=yes
     ;;
   pytorch-linux-xenial-py3-clang7-onnx)
     ANACONDA_PYTHON_VERSION=3.6
@@ -171,7 +181,6 @@ case "$image" in
     PROTOBUF=yes
     DB=yes
     VISION=yes
-    BREAKPAD=yes
     ;;
   pytorch-linux-xenial-py3-clang5-android-ndk-r19c)
     ANACONDA_PYTHON_VERSION=3.6
@@ -180,7 +189,7 @@ case "$image" in
     PROTOBUF=yes
     ANDROID=yes
     ANDROID_NDK_VERSION=r19c
-    GRADLE_VERSION=6.8.3
+    GRADLE_VERSION=4.10.3
     CMAKE_VERSION=3.7.0
     NINJA_VERSION=1.9.0
     ;;
@@ -190,7 +199,6 @@ case "$image" in
     PROTOBUF=yes
     DB=yes
     VISION=yes
-    BREAKPAD=yes
     ;;
   pytorch-linux-bionic-py3.6-clang9)
     ANACONDA_PYTHON_VERSION=3.6
@@ -198,8 +206,7 @@ case "$image" in
     PROTOBUF=yes
     DB=yes
     VISION=yes
-    BREAKPAD=yes
-    VULKAN_SDK_VERSION=1.2.162.1
+    VULKAN_SDK_VERSION=1.2.148.0
     SWIFTSHADER=yes
     ;;
   pytorch-linux-bionic-py3.8-gcc9)
@@ -208,8 +215,6 @@ case "$image" in
     PROTOBUF=yes
     DB=yes
     VISION=yes
-    BREAKPAD=yes
-    BREAKPAD=yes
     ;;
   pytorch-linux-bionic-cuda10.2-cudnn7-py3.6-clang9)
     CUDA_VERSION=10.2
@@ -219,7 +224,6 @@ case "$image" in
     PROTOBUF=yes
     DB=yes
     VISION=yes
-    BREAKPAD=yes
     ;;
   pytorch-linux-bionic-cuda10.2-cudnn7-py3.8-gcc9)
     CUDA_VERSION=10.2
@@ -229,17 +233,6 @@ case "$image" in
     PROTOBUF=yes
     DB=yes
     VISION=yes
-    BREAKPAD=yes
-    ;;
-  pytorch-linux-bionic-cuda10.2-cudnn7-py3.9-gcc7)
-    CUDA_VERSION=10.2
-    CUDNN_VERSION=7
-    ANACONDA_PYTHON_VERSION=3.9
-    GCC_VERSION=7
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    BREAKPAD=yes
     ;;
   pytorch-linux-bionic-cuda11.0-cudnn8-py3.6-gcc9)
     CUDA_VERSION=11.0
@@ -249,42 +242,57 @@ case "$image" in
     PROTOBUF=yes
     DB=yes
     VISION=yes
-    BREAKPAD=yes
+    KATEX=yes
+    ;;
+  pytorch-linux-bionic-cuda11.0-cudnn8-py3.8-gcc9)
+    CUDA_VERSION=11.0
+    CUDNN_VERSION=8
+    ANACONDA_PYTHON_VERSION=3.8
+    GCC_VERSION=9
+    PROTOBUF=yes
+    DB=yes
+    VISION=yes
+    KATEX=yes
+    ;;
+  pytorch-linux-bionic-cuda11.1-cudnn8-py3.6-gcc9)
+    CUDA_VERSION=11.1
+    CUDNN_VERSION=8
+    ANACONDA_PYTHON_VERSION=3.6
+    GCC_VERSION=9
+    PROTOBUF=yes
+    DB=yes
+    VISION=yes
+    KATEX=yes
+    ;;
+  pytorch-linux-bionic-cuda11.1-cudnn8-py3.8-gcc9)
+    CUDA_VERSION=11.1
+    CUDNN_VERSION=8
+    ANACONDA_PYTHON_VERSION=3.8
+    GCC_VERSION=9
+    PROTOBUF=yes
+    DB=yes
+    VISION=yes
+    KATEX=yes
+    ;;
+  pytorch-linux-bionic-rocm3.9-py3.6)
+    ANACONDA_PYTHON_VERSION=3.6
+    PROTOBUF=yes
+    DB=yes
+    VISION=yes
     ROCM_VERSION=3.9
     ;;
-  pytorch-linux-bionic-rocm4.0.1-py3.6)
+  pytorch-linux-bionic-rocm3.10-py3.6)
     ANACONDA_PYTHON_VERSION=3.6
-    GCC_VERSION=9
     PROTOBUF=yes
     DB=yes
     VISION=yes
-    BREAKPAD=yes
-    ROCM_VERSION=4.0.1
-    ;;
-  pytorch-linux-bionic-rocm4.1-py3.6)
-    ANACONDA_PYTHON_VERSION=3.6
-    GCC_VERSION=9
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    BREAKPAD=yes
-    ROCM_VERSION=4.1
-    ;;
-  pytorch-linux-bionic-rocm4.2-py3.6)
-    ANACONDA_PYTHON_VERSION=3.6
-    GCC_VERSION=9
-    PROTOBUF=yes
-    DB=yes
-    VISION=yes
-    BREAKPAD=yes
-    ROCM_VERSION=4.2
+    ROCM_VERSION=3.10
     ;;
   *)
     # Catch-all for builds that are not hardcoded.
     PROTOBUF=yes
     DB=yes
     VISION=yes
-    BREAKPAD=yes
     echo "image '$image' did not match an existing build configuration"
     if [[ "$image" == *py* ]]; then
       extract_version_from_image_name py ANACONDA_PYTHON_VERSION
@@ -320,7 +328,7 @@ if [ -n "${JENKINS:-}" ]; then
   JENKINS_GID=$(id -g jenkins)
 fi
 
-tmp_tag="tmp-$(cat /dev/urandom | tr -dc 'a-z' | head -c 32)"
+tmp_tag="tmp-$(cat /dev/urandom | tr -dc 'a-z' | fold -w 32 | head -n 1)"
 
 # Build image
 # TODO: build-arg THRIFT is not turned on for any image, remove it once we confirm
@@ -348,7 +356,6 @@ docker build \
        --build-arg "GCC_VERSION=${GCC_VERSION}" \
        --build-arg "CUDA_VERSION=${CUDA_VERSION}" \
        --build-arg "CUDNN_VERSION=${CUDNN_VERSION}" \
-       --build-arg "BREAKPAD=${BREAKPAD}" \
        --build-arg "ANDROID=${ANDROID}" \
        --build-arg "ANDROID_NDK=${ANDROID_NDK_VERSION}" \
        --build-arg "GRADLE_VERSION=${GRADLE_VERSION}" \

.circleci/docker/build_docker.sh

@@ -46,7 +46,4 @@ trap "docker logout ${registry}" EXIT
 docker push "${image}:${tag}"
 
 docker save -o "${IMAGE_NAME}:${tag}.tar" "${image}:${tag}"
-
-if [ -z "${DOCKER_SKIP_S3_UPLOAD:-}" ]; then
-  aws s3 cp "${IMAGE_NAME}:${tag}.tar" "s3://ossci-linux-build/pytorch/base/${IMAGE_NAME}:${tag}.tar" --acl public-read
-fi
+aws s3 cp "${IMAGE_NAME}:${tag}.tar" "s3://ossci-linux-build/pytorch/base/${IMAGE_NAME}:${tag}.tar" --acl public-read

.circleci/docker/centos-rocm/Dockerfile

@@ -64,7 +64,6 @@ ENV PATH /opt/rocm/hcc/bin:$PATH
 ENV PATH /opt/rocm/hip/bin:$PATH
 ENV PATH /opt/rocm/opencl/bin:$PATH
 ENV PATH /opt/rocm/llvm/bin:$PATH
-ENV MAGMA_HOME /opt/rocm/magma
 ENV LANG en_US.utf8
 ENV LC_ALL en_US.utf8
 

.circleci/docker/common/install_android.sh

@@ -99,7 +99,7 @@ echo "ndk.dir=/opt/ndk" >> $GRADLE_LOCAL_PROPERTIES
 chown -R jenkins /var/lib/jenkins/gradledeps
 chgrp -R jenkins /var/lib/jenkins/gradledeps
 
-sudo -H -u jenkins $GRADLE_HOME/bin/gradle -Pandroid.useAndroidX=true -p /var/lib/jenkins/gradledeps -g /var/lib/jenkins/.gradle --refresh-dependencies --debug --stacktrace assemble
+sudo -H -u jenkins $GRADLE_HOME/bin/gradle -p /var/lib/jenkins/gradledeps -g /var/lib/jenkins/.gradle --refresh-dependencies --debug --stacktrace assemble
 
 chown -R jenkins /var/lib/jenkins/.gradle
 chgrp -R jenkins /var/lib/jenkins/.gradle

.circleci/docker/common/install_base.sh

@@ -77,7 +77,6 @@ install_centos() {
     glog-devel \
     hiredis-devel \
     libstdc++-devel \
-    libsndfile-devel \
     make \
     opencv-devel \
     sudo \

.circleci/docker/common/install_breakpad.sh

@@ -1,19 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-git clone https://github.com/malfet/breakpad.git -b pytorch/release-1.9
-pushd breakpad
-
-git clone https://chromium.googlesource.com/linux-syscall-support src/third_party/lss
-pushd src/third_party/lss
-# same as with breakpad, there are no real releases for this repo so use a
-# commit as the pin
-git checkout e1e7b0ad8ee99a875b272c8e33e308472e897660
-popd
-
-./configure
-make
-make install
-popd
-rm -rf breakpad

.circleci/docker/common/install_conda.sh

@@ -71,22 +71,18 @@ if [ -n "$ANACONDA_PYTHON_VERSION" ]; then
   # Install PyTorch conda deps, as per https://github.com/pytorch/pytorch README
   # DO NOT install cmake here as it would install a version newer than 3.5, but
   # we want to pin to version 3.5.
-  SCIPY_VERSION=1.1.0
-  if [ "$ANACONDA_PYTHON_VERSION" = "3.9" ]; then
+  if [ "$ANACONDA_PYTHON_VERSION" = "3.8" ]; then
     # Install llvm-8 as it is required to compile llvmlite-0.30.0 from source
-    conda_install numpy=1.19.2 astunparse pyyaml mkl mkl-include setuptools cffi future six llvmdev=8.0.0 -c conda-forge
-    SCIPY_VERSION=1.6.0
-  elif [ "$ANACONDA_PYTHON_VERSION" = "3.8" ]; then
-    # Install llvm-8 as it is required to compile llvmlite-0.30.0 from source
-    conda_install numpy=1.18.5 astunparse pyyaml mkl mkl-include setuptools cffi future six llvmdev=8.0.0
+    conda_install numpy=1.18.5 pyyaml mkl mkl-include setuptools cffi future six llvmdev=8.0.0
   elif [ "$ANACONDA_PYTHON_VERSION" = "3.7" ]; then
     # DO NOT install dataclasses if installing python-3.7, since its part of python-3.7 core packages
-    conda_install numpy=1.18.5 astunparse pyyaml mkl mkl-include setuptools cffi future six typing_extensions
+    conda_install numpy=1.18.5 pyyaml mkl mkl-include setuptools cffi future six typing_extensions
   else
-    conda_install numpy=1.18.5 astunparse pyyaml mkl mkl-include setuptools cffi future six dataclasses typing_extensions
+    conda_install numpy=1.18.5 pyyaml mkl mkl-include setuptools cffi future six dataclasses typing_extensions
   fi
-
-  if [[ "$CUDA_VERSION" == 10.0* ]]; then
+  if [[ "$CUDA_VERSION" == 9.2* ]]; then
+    conda_install magma-cuda92 -c pytorch
+  elif [[ "$CUDA_VERSION" == 10.0* ]]; then
     conda_install magma-cuda100 -c pytorch
   elif [[ "$CUDA_VERSION" == 10.1* ]]; then
     conda_install magma-cuda101 -c pytorch
@@ -96,8 +92,8 @@ if [ -n "$ANACONDA_PYTHON_VERSION" ]; then
     conda_install magma-cuda110 -c pytorch
   elif [[ "$CUDA_VERSION" == 11.1* ]]; then
     conda_install magma-cuda111 -c pytorch
-  elif [[ "$CUDA_VERSION" == 11.3* ]]; then
-    conda_install magma-cuda113 -c pytorch
+  elif [[ "$CUDA_VERSION" == 11.2* ]]; then
+    conda_install magma-cuda112 -c pytorch
   fi
 
   # TODO: This isn't working atm
@@ -107,26 +103,20 @@ if [ -n "$ANACONDA_PYTHON_VERSION" ]; then
   # TODO: Why is scipy pinned
   # Pin MyPy version because new errors are likely to appear with each release
   # Pin hypothesis to avoid flakiness: https://github.com/pytorch/pytorch/issues/31136
-  # Pin coverage so we can use COVERAGE_RCFILE
   as_jenkins pip install --progress-bar off pytest \
-    scipy==$SCIPY_VERSION \
+    scipy==1.1.0 \
     scikit-image \
+    librosa>=0.6.2 \
     psutil \
+    numba \
+    llvmlite \
     unittest-xml-reporting \
     boto3==1.16.34 \
-    coverage==5.5 \
+    coverage \
     hypothesis==4.53.2 \
-    mypy==0.812 \
+    mypy==0.770 \
     tb-nightly
 
-  # Install numba only on python-3.8 or below
-  # For numba issue see https://github.com/pytorch/pytorch/issues/51511
-  if [[ $(python -c "import sys; print(int(sys.version_info < (3, 9)))") == "1" ]]; then
-    as_jenkins pip install --progress-bar off numba librosa>=0.6.2
-  else
-    as_jenkins pip install --progress-bar off numba==0.49.0 librosa>=0.6.2
-  fi
-
   # Update scikit-learn to a python-3.8 compatible version
   if [[ $(python -c "import sys; print(int(sys.version_info >= (3, 8)))") == "1" ]]; then
     as_jenkins pip install --progress-bar off -U scikit-learn

.circleci/docker/common/install_openssl.sh

@@ -1,14 +0,0 @@
-#!/bin/bash
-
-set -ex
-
-OPENSSL=openssl-1.1.1k
-
-wget -q -O "${OPENSSL}.tar.gz" "https://www.openssl.org/source/${OPENSSL}.tar.gz"
-tar xf "${OPENSSL}.tar.gz"
-cd "${OPENSSL}"
-./config --prefix=/opt/openssl -d '-Wl,--enable-new-dtags,-rpath,$(LIBRPATH)'
-# NOTE: opensl errors out when built with the -j option
-make install_sw
-cd ..
-rm -rf "${OPENSSL}"

.circleci/docker/common/install_rocm.sh

@@ -4,27 +4,20 @@ set -ex
 
 install_magma() {
     # "install" hipMAGMA into /opt/rocm/magma by copying after build
-    git clone https://bitbucket.org/icl/magma.git
+    git clone https://bitbucket.org/icl/magma.git -b hipMAGMA
     pushd magma
-    git checkout 878b1ce02e9cfe4a829be22c8f911e9c0b6bd88f
-    cp make.inc-examples/make.inc.hip-gcc-mkl make.inc
+    cp make.inc-examples/make.inc.hip-mkl-gcc make.inc
     echo 'LIBDIR += -L$(MKLROOT)/lib' >> make.inc
     echo 'LIB += -Wl,--enable-new-dtags -Wl,--rpath,/opt/rocm/lib -Wl,--rpath,$(MKLROOT)/lib -Wl,--rpath,/opt/rocm/magma/lib' >> make.inc
-    echo 'DEVCCFLAGS += --amdgpu-target=gfx803 --amdgpu-target=gfx900 --amdgpu-target=gfx906 --amdgpu-target=gfx908 --gpu-max-threads-per-block=256' >> make.inc
-    # hipcc with openmp flag may cause isnan() on __device__ not to be found; depending on context, compiler may attempt to match with host definition
-    sed -i 's/^FOPENMP/#FOPENMP/g' make.inc
+    echo 'DEVCCFLAGS += --amdgpu-target=gfx803 --amdgpu-target=gfx900 --amdgpu-target=gfx906 --amdgpu-target=gfx908' >> make.inc
     export PATH="${PATH}:/opt/rocm/bin"
     make -f make.gen.hipMAGMA -j $(nproc)
-    LANG=C.UTF-8 make lib/libmagma.so -j $(nproc) MKLROOT=/opt/conda
+    make lib/libmagma.so -j $(nproc) MKLROOT=/opt/conda
     make testing/testing_dgemm -j $(nproc) MKLROOT=/opt/conda
     popd
     mv magma /opt/rocm
 }
 
-ver() {
-    printf "%3d%03d%03d%03d" $(echo "$1" | tr '.' ' ');
-}
-
 install_ubuntu() {
     apt-get update
     if [[ $UBUNTU_VERSION == 18.04 ]]; then
@@ -38,14 +31,9 @@ install_ubuntu() {
     apt-get install -y libc++1
     apt-get install -y libc++abi1
 
-    ROCM_REPO="ubuntu"
-    if [[ $(ver $ROCM_VERSION) -lt $(ver 4.2) ]]; then
-        ROCM_REPO="xenial"
-    fi
-
     # Add rocm repository
     wget -qO - http://repo.radeon.com/rocm/rocm.gpg.key | apt-key add -
-    echo "deb [arch=amd64] http://repo.radeon.com/rocm/apt/${ROCM_VERSION} ${ROCM_REPO} main" > /etc/apt/sources.list.d/rocm.list
+    echo "deb [arch=amd64] http://repo.radeon.com/rocm/apt/${ROCM_VERSION} xenial main" > /etc/apt/sources.list.d/rocm.list
     apt-get update --allow-insecure-repositories
 
     DEBIAN_FRONTEND=noninteractive apt-get install -y --allow-unauthenticated \

.circleci/docker/common/install_vulkan_sdk.sh

@@ -8,17 +8,16 @@ retry () {
     $*  || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*)
 }
 
+_https_amazon_aws=https://ossci-android.s3.amazonaws.com
+
 _vulkansdk_dir=/var/lib/jenkins/vulkansdk
+mkdir -p $_vulkansdk_dir
 _tmp_vulkansdk_targz=/tmp/vulkansdk.tar.gz
+curl --silent --show-error --location --fail --retry 3 \
+  --output "$_tmp_vulkansdk_targz" "$_https_amazon_aws/vulkansdk-linux-x86_64-${VULKAN_SDK_VERSION}.tar.gz"
 
-curl \
-  --silent \
-  --show-error \
-  --location \
-  --fail \
-  --retry 3 \
-  --output "${_tmp_vulkansdk_targz}" "https://ossci-android.s3.amazonaws.com/vulkansdk-linux-x86_64-${VULKAN_SDK_VERSION}.tar.gz"
+tar -C "$_vulkansdk_dir" -xzf "$_tmp_vulkansdk_targz" --strip-components 1
 
-mkdir -p "${_vulkansdk_dir}"
-tar -C "${_vulkansdk_dir}" -xzf "${_tmp_vulkansdk_targz}" --strip-components 1
-rm -rf "${_tmp_vulkansdk_targz}"
+export VULKAN_SDK="$_vulkansdk_dir/"
+
+rm "$_tmp_vulkansdk_targz"

.circleci/docker/ubuntu-cuda/Dockerfile

@@ -61,10 +61,6 @@ RUN if [ -n "${VISION}" ]; then bash ./install_vision.sh; fi
 RUN rm install_vision.sh
 ENV INSTALLED_VISION ${VISION}
 
-ADD ./common/install_openssl.sh install_openssl.sh
-ENV OPENSSL_ROOT_DIR /opt/openssl
-RUN bash ./install_openssl.sh
-
 # Install ccache/sccache (do this last, so we get priority in PATH)
 ADD ./common/install_cache.sh install_cache.sh
 ENV PATH /opt/cache/bin:$PATH

.circleci/docker/ubuntu-rocm/Dockerfile

@@ -27,11 +27,6 @@ ARG ANACONDA_PYTHON_VERSION
 ADD ./common/install_conda.sh install_conda.sh
 RUN bash ./install_conda.sh && rm install_conda.sh
 
-# Install gcc
-ARG GCC_VERSION
-ADD ./common/install_gcc.sh install_gcc.sh
-RUN bash ./install_gcc.sh && rm install_gcc.sh
-
 # (optional) Install protobuf for ONNX
 ARG PROTOBUF
 ADD ./common/install_protobuf.sh install_protobuf.sh

.circleci/docker/ubuntu/Dockerfile

@@ -82,13 +82,6 @@ RUN rm AndroidManifest.xml
 RUN rm build.gradle
 ENV INSTALLED_ANDROID ${ANDROID}
 
-# (optional) Install breakpad
-ARG BREAKPAD
-ADD ./common/install_breakpad.sh install_breakpad.sh
-RUN if [ -n "${BREAKPAD}" ]; then bash ./install_breakpad.sh; fi
-RUN rm install_breakpad.sh
-ENV INSTALLED_BREAKPAD ${BREAKPAD}
-
 # (optional) Install Vulkan SDK
 ARG VULKAN_SDK_VERSION
 ADD ./common/install_vulkan_sdk.sh install_vulkan_sdk.sh
@@ -113,10 +106,6 @@ ADD ./common/install_ninja.sh install_ninja.sh
 RUN if [ -n "${NINJA_VERSION}" ]; then bash ./install_ninja.sh; fi
 RUN rm install_ninja.sh
 
-ADD ./common/install_openssl.sh install_openssl.sh
-RUN bash ./install_openssl.sh
-ENV OPENSSL_ROOT_DIR /opt/openssl
-
 # Install ccache/sccache (do this last, so we get priority in PATH)
 ADD ./common/install_cache.sh install_cache.sh
 ENV PATH /opt/cache/bin:$PATH

.circleci/ecr_gc_docker/Dockerfile

@@ -1,10 +1,10 @@
-FROM ubuntu:18.04
+FROM ubuntu:16.04
 
-RUN apt-get update && apt-get install -y python3-pip git && rm -rf /var/lib/apt/lists/* /var/log/dpkg.log
+RUN apt-get update && apt-get install -y python-pip git && rm -rf /var/lib/apt/lists/* /var/log/dpkg.log
 
 ADD requirements.txt /requirements.txt
 
-RUN pip3 install -r /requirements.txt
+RUN pip install -r /requirements.txt
 
 ADD gc.py /usr/bin/gc.py
 

.circleci/ecr_gc_docker/docker_hub.py

@@ -1,4 +1,4 @@
-#!/usr/bin/env python3
+#!/usr/bin/env python
 
 from collections import namedtuple
 

.circleci/ecr_gc_docker/gc.py

@@ -1,11 +1,11 @@
-#!/usr/bin/env python3
+#!/usr/bin/env python
 
 import argparse
-import boto3
 import datetime
+import boto3
 import pytz
-import re
 import sys
+import re
 
 
 def save_to_s3(project, data):
@@ -148,12 +148,9 @@ def chunks(chunkable, n):
     """ Yield successive n-sized chunks from l.
     """
     for i in range(0, len(chunkable), n):
-        yield chunkable[i: i + n]
-
+        yield chunkable[i : i + n]
 
 SHA_PATTERN = re.compile(r'^[0-9a-f]{40}$')
-
-
 def looks_like_git_sha(tag):
     """Returns a boolean to check if a tag looks like a git sha
 
@@ -162,7 +159,6 @@ def looks_like_git_sha(tag):
     """
     return re.match(SHA_PATTERN, tag) is not None
 
-
 stable_window_tags = []
 for repo in repos(client):
     repositoryName = repo["repositoryName"]

.circleci/generate_config_yml.py

@@ -80,52 +80,6 @@ class Header(object):
         for line in filter(None, lines):
             output_filehandle.write(line + "\n")
 
-def filter_master_only_jobs(items):
-    def _for_all_items(items, functor) -> None:
-        if isinstance(items, list):
-            for item in items:
-                _for_all_items(item, functor)
-        if isinstance(items, dict) and len(items) == 1:
-            item_type, item = next(iter(items.items()))
-            functor(item_type, item)
-
-    def _is_master_item(item):
-        filters = item.get('filters', None)
-        branches = filters.get('branches', None) if filters is not None else None
-        branches_only = branches.get('only', None) if branches is not None else None
-        return 'master' in branches_only if branches_only is not None else False
-
-    master_deps = set()
-
-    def _save_requires_if_master(item_type, item):
-        requires = item.get('requires', None)
-        item_name = item.get("name", None)
-        if not isinstance(requires, list):
-            return
-        if _is_master_item(item) or item_name in master_deps:
-            master_deps.update([n.strip('"') for n in requires])
-
-    def _do_filtering(items):
-        if isinstance(items, list):
-            rc = [_do_filtering(item) for item in items]
-            return [item for item in rc if len(item if item is not None else []) > 0]
-        assert isinstance(items, dict) and len(items) == 1
-        item_type, item = next(iter(items.items()))
-        item_name = item.get("name", None)
-        item_name = item_name.strip('"') if item_name is not None else None
-        if not _is_master_item(item) and item_name not in master_deps:
-            return None
-        if 'filters' in item:
-            item = item.copy()
-            item.pop('filters')
-        return {item_type: item}
-
-    # Scan of dependencies twice to pick up nested required jobs
-    # I.e. jobs depending on jobs that master-only job depend on
-    _for_all_items(items, _save_requires_if_master)
-    _for_all_items(items, _save_requires_if_master)
-    return _do_filtering(items)
-
 
 def gen_build_workflows_tree():
     build_workflows_functions = [
@@ -151,8 +105,7 @@ def gen_build_workflows_tree():
         binary_build_definitions.get_nightly_tests,
         binary_build_definitions.get_nightly_uploads,
     ]
-    build_jobs = [f() for f in build_workflows_functions]
-    master_build_jobs = filter_master_only_jobs(build_jobs)
+
     return {
         "workflows": {
             "binary_builds": {
@@ -161,11 +114,7 @@ def gen_build_workflows_tree():
             },
             "build": {
                 "when": r"<< pipeline.parameters.run_build >>",
-                "jobs": build_jobs,
-            },
-            "master_build": {
-                "when": r"<< pipeline.parameters.run_master_build >>",
-                "jobs": master_build_jobs,
+                "jobs": [f() for f in build_workflows_functions]
             },
         }
     }
@@ -190,7 +139,6 @@ YAML_SOURCES = [
     File("job-specs/docker_jobs.yml"),
     Header("Workflows"),
     Treegen(gen_build_workflows_tree, 0),
-    File("workflows/workflows-scheduled-ci.yml"),
     File("workflows/workflows-ecr-gc.yml"),
     File("workflows/workflows-promote.yml"),
 ]

.circleci/regenerate.ps1

@@ -1,5 +0,0 @@
-cd $PSScriptRoot;
-$NewFile = New-TemporaryFile;
-python generate_config_yml.py > $NewFile.name
-(Get-Content $NewFile.name -Raw).TrimEnd().Replace("`r`n","`n") | Set-Content config.yml -Force
-Remove-Item $NewFile.name

.circleci/regenerate.sh

@@ -1,17 +1,8 @@
-#!/bin/bash -e
+#!/bin/bash -xe
 
 # Allows this script to be invoked from any directory:
-cd "$(dirname "$0")"
-
-UNCOMMIT_CHANGE=$(git status -s | grep " config.yml" | wc -l | xargs)
-if [[ $UNCOMMIT_CHANGE != 0 ]]; then
-    OLD_FILE=$(mktemp)
-    cp config.yml "$OLD_FILE"
-    echo "Uncommitted change detected in .circleci/config.yml"
-    echo "It has been backed up to $OLD_FILE"
-fi
+cd $(dirname "$0")
 
 NEW_FILE=$(mktemp)
-./generate_config_yml.py > "$NEW_FILE"
-cp "$NEW_FILE" config.yml
-echo "New config generated in .circleci/config.yml"
+./generate_config_yml.py > $NEW_FILE
+cp $NEW_FILE config.yml

.circleci/scripts/binary_checkout.sh

@@ -63,7 +63,6 @@ popd
 # Clone the Builder master repo
 retry git clone -q https://github.com/pytorch/builder.git "$BUILDER_ROOT"
 pushd "$BUILDER_ROOT"
-git checkout release/1.9
 echo "Using builder from "
 git --no-pager log --max-count 1
 popd

.circleci/scripts/binary_ios_build.sh

@@ -15,7 +15,7 @@ export PATH="~/anaconda/bin:${PATH}"
 source ~/anaconda/bin/activate
 
 # Install dependencies
-conda install numpy ninja pyyaml mkl mkl-include setuptools cmake cffi requests typing_extensions --yes
+conda install numpy ninja pyyaml mkl mkl-include setuptools cmake cffi requests --yes
 conda install -c conda-forge valgrind --yes
 export CMAKE_PREFIX_PATH=${CONDA_PREFIX:-"$(dirname $(which conda))/../"}
 

.circleci/scripts/binary_ios_test.sh

@@ -24,6 +24,6 @@ rm cert.txt
 if ! [ -x "$(command -v xcodebuild)" ]; then
     echo 'Error: xcodebuild is not installed.'
     exit 1
-fi
+fi 
 PROFILE=PyTorch_CI_2021
 ruby ${PROJ_ROOT}/scripts/xcode_build.rb -i ${PROJ_ROOT}/build_ios/install -x ${PROJ_ROOT}/ios/TestApp/TestApp.xcodeproj -p ${IOS_PLATFORM} -c ${PROFILE} -t ${IOS_DEV_TEAM_ID}

.circleci/scripts/binary_linux_test.sh

@@ -9,6 +9,10 @@ python_nodot="\$(echo $DESIRED_PYTHON | tr -d m.u)"
 
 # Set up Python
 if [[ "$PACKAGE_TYPE" == conda ]]; then
+  # There was a bug that was introduced in conda-package-handling >= 1.6.1 that makes archives
+  # above a certain size fail out when attempting to extract
+  # see: https://github.com/conda/conda-package-handling/issues/71
+  conda install -y conda-package-handling=1.6.0
   retry conda create -qyn testenv python="$DESIRED_PYTHON"
   source activate testenv >/dev/null
 elif [[ "$PACKAGE_TYPE" != libtorch ]]; then
@@ -34,10 +38,6 @@ if [[ "$DESIRED_CUDA" == "cu112" ]]; then
   EXTRA_CONDA_FLAGS="-c=conda-forge"
 fi
 
-# Move debug wheels out of the the package dir so they don't get installed
-mkdir -p /tmp/debug_final_pkgs
-mv /final_pkgs/debug-*.zip /tmp/debug_final_pkgs || echo "no debug packages to move"
-
 # Install the package
 # These network calls should not have 'retry's because they are installing
 # locally and aren't actually network calls

.circleci/scripts/binary_populate_env.sh

@@ -68,24 +68,12 @@ if [[ -z "$DOCKER_IMAGE" ]]; then
   fi
 fi
 
-USE_GOLD_LINKER="OFF"
-# GOLD linker can not be used if CUPTI is statically linked into PyTorch, see https://github.com/pytorch/pytorch/issues/57744
-if [[ ${DESIRED_CUDA} == "cpu" ]]; then
-  USE_GOLD_LINKER="ON"
-fi
-
-USE_WHOLE_CUDNN="OFF"
-# Link whole cuDNN for CUDA-11.1 to include fp16 fast kernels
-if [[  "$(uname)" == "Linux" && "${DESIRED_CUDA}" == "cu111" ]]; then
-  USE_WHOLE_CUDNN="ON"
-fi
-
 # Default to nightly, since that's where this normally uploads to
 PIP_UPLOAD_FOLDER='nightly/'
 # We put this here so that OVERRIDE_PACKAGE_VERSION below can read from it
 export DATE="$(date -u +%Y%m%d)"
 #TODO: We should be pulling semver version from the base version.txt
-BASE_BUILD_VERSION="1.9.0.dev$DATE"
+BASE_BUILD_VERSION="1.8.0.dev$DATE"
 # Change BASE_BUILD_VERSION to git tag when on a git tag
 # Use 'git -C' to make doubly sure we're in the correct directory for checking
 # the git tag
@@ -148,7 +136,7 @@ if [[ "${BUILD_FOR_SYSTEM:-}" == "windows" ]]; then
 fi
 
 export DATE="$DATE"
-export NIGHTLIES_DATE_PREAMBLE=1.9.0.dev
+export NIGHTLIES_DATE_PREAMBLE=1.8.0.dev
 export PYTORCH_BUILD_VERSION="$PYTORCH_BUILD_VERSION"
 export PYTORCH_BUILD_NUMBER="$PYTORCH_BUILD_NUMBER"
 export OVERRIDE_PACKAGE_VERSION="$PYTORCH_BUILD_VERSION"
@@ -180,10 +168,6 @@ export CIRCLE_SHA1="$CIRCLE_SHA1"
 export CIRCLE_PR_NUMBER="${CIRCLE_PR_NUMBER:-}"
 export CIRCLE_BRANCH="$CIRCLE_BRANCH"
 export CIRCLE_WORKFLOW_ID="$CIRCLE_WORKFLOW_ID"
-
-export USE_GOLD_LINKER="${USE_GOLD_LINKER}"
-export USE_GLOO_WITH_OPENSSL="ON"
-export USE_WHOLE_CUDNN="${USE_WHOLE_CUDNN}"
 # =================== The above code will be executed inside Docker container ===================
 EOL
 

.circleci/scripts/binary_windows_build.sh

@@ -31,10 +31,6 @@ if [[ "$CIRCLECI" == 'true' && -d "C:\\ProgramData\\Microsoft\\VisualStudio\\Pac
   mv _Instances "C:\\ProgramData\\Microsoft\\VisualStudio\\Packages"
 fi
 
-if [[ "$CIRCLECI" == 'true' && -d "C:\\Microsoft" ]]; then
-  rm -rf "C:\\Microsoft\\Android*"
-fi
-
 echo "Free space on filesystem before build:"
 df -h
 

.circleci/scripts/build_android_gradle.sh

@@ -10,7 +10,7 @@ export ANDROID_HOME=/opt/android/sdk
 
 # Must be in sync with GRADLE_VERSION in docker image for android
 # https://github.com/pietern/pytorch-dockerfiles/blob/master/build.sh#L155
-export GRADLE_VERSION=6.8.3
+export GRADLE_VERSION=4.10.3
 export GRADLE_HOME=/opt/gradle/gradle-$GRADLE_VERSION
 export GRADLE_PATH=$GRADLE_HOME/bin/gradle
 

.circleci/scripts/publish_android_snapshot.sh

@@ -5,7 +5,7 @@ set -eu -o pipefail
 export ANDROID_NDK_HOME=/opt/ndk
 export ANDROID_HOME=/opt/android/sdk
 
-export GRADLE_VERSION=6.8.3
+export GRADLE_VERSION=4.10.3
 export GRADLE_HOME=/opt/gradle/gradle-$GRADLE_VERSION
 export GRADLE_PATH=$GRADLE_HOME/bin/gradle
 
@@ -35,9 +35,7 @@ else
   echo "ndk.dir=/opt/ndk" >> $GRADLE_LOCAL_PROPERTIES
 
   echo "SONATYPE_NEXUS_USERNAME=${SONATYPE_NEXUS_USERNAME}" >> $GRADLE_PROPERTIES
-  echo "mavenCentralRepositoryUsername=${SONATYPE_NEXUS_USERNAME}" >> $GRADLE_PROPERTIES
   echo "SONATYPE_NEXUS_PASSWORD=${SONATYPE_NEXUS_PASSWORD}" >> $GRADLE_PROPERTIES
-  echo "mavenCentralRepositoryPassword=${SONATYPE_NEXUS_PASSWORD}" >> $GRADLE_PROPERTIES
 
   echo "signing.keyId=${ANDROID_SIGN_KEY}" >> $GRADLE_PROPERTIES
   echo "signing.password=${ANDROID_SIGN_PASS}" >> $GRADLE_PROPERTIES

.circleci/scripts/setup_ci_environment.sh

@@ -24,9 +24,7 @@ retry sudo apt-get -y install \
 echo "== DOCKER VERSION =="
 docker version
 
-if ! command -v aws >/dev/null; then
-  retry sudo pip3 -q install awscli==1.19.64
-fi
+retry sudo pip -q install awscli==1.16.35
 
 if [ -n "${USE_CUDA_DOCKER_RUNTIME:-}" ]; then
   DRIVER_FN="NVIDIA-Linux-x86_64-460.39.run"
@@ -50,50 +48,43 @@ else
 fi
 
 add_to_env_file() {
-  local name=$1
-  local value=$2
-  case "$value" in
-    *\ *)
-      # BASH_ENV should be set by CircleCI
-      echo "${name}='${value}'" >> "${BASH_ENV:-/tmp/env}"
-      ;;
-    *)
-      echo "${name}=${value}" >> "${BASH_ENV:-/tmp/env}"
-      ;;
-  esac
+  local content
+  content=$1
+  # BASH_ENV should be set by CircleCI
+  echo "${content}" >> "${BASH_ENV:-/tmp/env}"
 }
 
-add_to_env_file IN_CI 1
-add_to_env_file COMMIT_SOURCE "${CIRCLE_BRANCH:-}"
-add_to_env_file BUILD_ENVIRONMENT "${BUILD_ENVIRONMENT}"
-add_to_env_file CIRCLE_PULL_REQUEST "${CIRCLE_PULL_REQUEST}"
+add_to_env_file "IN_CI=1"
+add_to_env_file "COMMIT_SOURCE=${CIRCLE_BRANCH:-}"
+add_to_env_file "BUILD_ENVIRONMENT=${BUILD_ENVIRONMENT}"
+add_to_env_file "CIRCLE_PULL_REQUEST=${CIRCLE_PULL_REQUEST}"
 
 
 if [[ "${BUILD_ENVIRONMENT}" == *-build ]]; then
-  add_to_env_file SCCACHE_BUCKET ossci-compiler-cache-circleci-v2
+  add_to_env_file "SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2"
 
   SCCACHE_MAX_JOBS=$(( $(nproc) - 1 ))
   MEMORY_LIMIT_MAX_JOBS=8  # the "large" resource class on CircleCI has 32 CPU cores, if we use all of them we'll OOM
   MAX_JOBS=$(( ${SCCACHE_MAX_JOBS} > ${MEMORY_LIMIT_MAX_JOBS} ? ${MEMORY_LIMIT_MAX_JOBS} : ${SCCACHE_MAX_JOBS} ))
-  add_to_env_file MAX_JOBS "${MAX_JOBS}"
+  add_to_env_file "MAX_JOBS=${MAX_JOBS}"
 
   if [ -n "${USE_CUDA_DOCKER_RUNTIME:-}" ]; then
-    add_to_env_file TORCH_CUDA_ARCH_LIST 5.2
+    add_to_env_file "TORCH_CUDA_ARCH_LIST=5.2"
   fi
 
   if [[ "${BUILD_ENVIRONMENT}" == *xla* ]]; then
     # This IAM user allows write access to S3 bucket for sccache & bazels3cache
     set +x
-    add_to_env_file XLA_CLANG_CACHE_S3_BUCKET_NAME "${XLA_CLANG_CACHE_S3_BUCKET_NAME:-}"
-    add_to_env_file AWS_ACCESS_KEY_ID "${CIRCLECI_AWS_ACCESS_KEY_FOR_SCCACHE_AND_XLA_BAZEL_S3_BUCKET_V2:-}"
-    add_to_env_file AWS_SECRET_ACCESS_KEY "${CIRCLECI_AWS_SECRET_KEY_FOR_SCCACHE_AND_XLA_BAZEL_S3_BUCKET_V2:-}"
+    add_to_env_file "XLA_CLANG_CACHE_S3_BUCKET_NAME=${XLA_CLANG_CACHE_S3_BUCKET_NAME:-}"
+    add_to_env_file "AWS_ACCESS_KEY_ID=${CIRCLECI_AWS_ACCESS_KEY_FOR_SCCACHE_AND_XLA_BAZEL_S3_BUCKET_V2:-}"
+    add_to_env_file "AWS_SECRET_ACCESS_KEY=${CIRCLECI_AWS_SECRET_KEY_FOR_SCCACHE_AND_XLA_BAZEL_S3_BUCKET_V2:-}"
     set -x
   else
     # This IAM user allows write access to S3 bucket for sccache
     set +x
-    add_to_env_file XLA_CLANG_CACHE_S3_BUCKET_NAME "${XLA_CLANG_CACHE_S3_BUCKET_NAME:-}"
-    add_to_env_file AWS_ACCESS_KEY_ID "${CIRCLECI_AWS_ACCESS_KEY_FOR_SCCACHE_S3_BUCKET_V4:-}"
-    add_to_env_file AWS_SECRET_ACCESS_KEY "${CIRCLECI_AWS_SECRET_KEY_FOR_SCCACHE_S3_BUCKET_V4:-}"
+    add_to_env_file "XLA_CLANG_CACHE_S3_BUCKET_NAME=${XLA_CLANG_CACHE_S3_BUCKET_NAME:-}"
+    add_to_env_file "AWS_ACCESS_KEY_ID=${CIRCLECI_AWS_ACCESS_KEY_FOR_SCCACHE_S3_BUCKET_V4:-}"
+    add_to_env_file "AWS_SECRET_ACCESS_KEY=${CIRCLECI_AWS_SECRET_KEY_FOR_SCCACHE_S3_BUCKET_V4:-}"
     set -x
   fi
 fi
@@ -102,7 +93,5 @@ fi
 set +x
 export AWS_ACCESS_KEY_ID=${CIRCLECI_AWS_ACCESS_KEY_FOR_ECR_READ_WRITE_V4:-}
 export AWS_SECRET_ACCESS_KEY=${CIRCLECI_AWS_SECRET_KEY_FOR_ECR_READ_WRITE_V4:-}
-export AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
-export AWS_REGION=us-east-1
-aws ecr get-login-password --region $AWS_REGION|docker login --username AWS --password-stdin $AWS_ACCOUNT_ID.dkr.ecr.$AWS_REGION.amazonaws.com
+eval "$(aws ecr get-login --region us-east-1 --no-include-email)"
 set -x

.circleci/scripts/trigger_azure_pipeline.py

@@ -1,140 +0,0 @@
-# Documentation: https://docs.microsoft.com/en-us/rest/api/azure/devops/build/?view=azure-devops-rest-6.0
-
-import re
-import json
-import os
-import sys
-import requests
-import time
-
-AZURE_PIPELINE_BASE_URL = "https://aiinfra.visualstudio.com/PyTorch/"
-AZURE_DEVOPS_PAT_BASE64 = os.environ.get("AZURE_DEVOPS_PAT_BASE64_SECRET", "")
-PIPELINE_ID = "911"
-PROJECT_ID = "0628bce4-2d33-499e-bac5-530e12db160f"
-TARGET_BRANCH = os.environ.get("CIRCLE_BRANCH", "master")
-TARGET_COMMIT = os.environ.get("CIRCLE_SHA1", "")
-
-build_base_url = AZURE_PIPELINE_BASE_URL + "_apis/build/builds?api-version=6.0"
-
-s = requests.Session()
-s.headers.update({"Authorization": "Basic " + AZURE_DEVOPS_PAT_BASE64})
-
-def submit_build(pipeline_id, project_id, source_branch, source_version):
-    print("Submitting build for branch: " + source_branch)
-    print("Commit SHA1: ", source_version)
-
-    run_build_raw = s.post(build_base_url, json={
-        "definition": {"id": pipeline_id},
-        "project": {"id": project_id},
-        "sourceBranch": source_branch,
-        "sourceVersion": source_version
-    })
-
-    try:
-        run_build_json = run_build_raw.json()
-    except json.decoder.JSONDecodeError as e:
-        print(e)
-        print("Failed to parse the response. Check if the Azure DevOps PAT is incorrect or expired.")
-        sys.exit(-1)
-
-    build_id = run_build_json['id']
-
-    print("Submitted bulid: " + str(build_id))
-    print("Bulid URL: " + run_build_json['url'])
-    return build_id
-
-def get_build(_id):
-    get_build_url = AZURE_PIPELINE_BASE_URL + f"/_apis/build/builds/{_id}?api-version=6.0"
-    get_build_raw = s.get(get_build_url)
-    return get_build_raw.json()
-
-def get_build_logs(_id):
-    get_build_logs_url = AZURE_PIPELINE_BASE_URL + f"/_apis/build/builds/{_id}/logs?api-version=6.0"
-    get_build_logs_raw = s.get(get_build_logs_url)
-    return get_build_logs_raw.json()
-
-def get_log_content(url):
-    resp = s.get(url)
-    return resp.text
-
-def wait_for_build(_id):
-    build_detail = get_build(_id)
-    build_status = build_detail['status']
-
-    while build_status == 'notStarted':
-        print('Waiting for run to start: ' + str(_id))
-        sys.stdout.flush()
-        try:
-            build_detail = get_build(_id)
-            build_status = build_detail['status']
-        except Exception as e:
-            print("Error getting build")
-            print(e)
-
-        time.sleep(30)
-
-    print("Bulid started: ", str(_id))
-
-    handled_logs = set()
-    while build_status == 'inProgress':
-        try:
-            print("Waiting for log: " + str(_id))
-            logs = get_build_logs(_id)
-        except Exception as e:
-            print("Error fetching logs")
-            print(e)
-            time.sleep(30)
-            continue
-
-        for log in logs['value']:
-            log_id = log['id']
-            if log_id in handled_logs:
-                continue
-            handled_logs.add(log_id)
-            print('Fetching log: \n' + log['url'])
-            try:
-                log_content = get_log_content(log['url'])
-                print(log_content)
-            except Exception as e:
-                print("Error getting log content")
-                print(e)
-            sys.stdout.flush()
-        build_detail = get_build(_id)
-        build_status = build_detail['status']
-        time.sleep(30)
-
-    build_result = build_detail['result']
-
-    print("Bulid status: " + build_status)
-    print("Bulid result: " + build_result)
-
-    return build_status, build_result
-
-if __name__ == '__main__':
-    # Convert the branch name for Azure DevOps
-    match = re.search(r'pull/(\d+)', TARGET_BRANCH)
-    if match is not None:
-        pr_num = match.group(1)
-        SOURCE_BRANCH = f'refs/pull/{pr_num}/head'
-    else:
-        SOURCE_BRANCH = f'refs/heads/{TARGET_BRANCH}'
-
-    MAX_RETRY = 2
-    retry = MAX_RETRY
-
-    while retry > 0:
-        build_id = submit_build(PIPELINE_ID, PROJECT_ID, SOURCE_BRANCH, TARGET_COMMIT)
-        build_status, build_result = wait_for_build(build_id)
-
-        if build_result != 'succeeded':
-            retry = retry - 1
-            if retry > 0:
-                print("Retrying... remaining attempt: " + str(retry))
-                # Wait a bit before retrying
-                time.sleep((MAX_RETRY - retry) * 120)
-                continue
-            else:
-                print("No more chance to retry. Giving up.")
-                sys.exit(-1)
-        else:
-            break

.circleci/scripts/upload_binary_size_to_scuba.py

@@ -17,7 +17,7 @@ def get_size(file_dir):
         # we should only expect one file, if no, something is wrong
         file_name = glob.glob(os.path.join(file_dir, "*"))[0]
         return os.stat(file_name).st_size
-    except Exception:
+    except:
         logging.exception(f"error getting file from: {file_dir}")
         return 0
 
@@ -145,5 +145,5 @@ if __name__ == "__main__":
         if size != 0:
             try:
                 send_message([build_message(size)])
-            except Exception:
+            except:
                 logging.exception("can't send message")

.circleci/scripts/vs_install.ps1

@@ -1,10 +1,7 @@
-# https://developercommunity.visualstudio.com/t/install-specific-version-of-vs-component/1142479
-# https://docs.microsoft.com/en-us/visualstudio/releases/2019/history#release-dates-and-build-numbers
-
-# 16.8.5 BuildTools
-$VS_DOWNLOAD_LINK = "https://download.visualstudio.microsoft.com/download/pr/20130c62-1bc8-43d6-b4f0-c20bb7c79113/145a319d79a83376915d8f855605e152ef5f6fa2b2f1d2dca411fb03722eea72/vs_BuildTools.exe"
+$VS_DOWNLOAD_LINK = "https://aka.ms/vs/15/release/vs_buildtools.exe"
 $COLLECT_DOWNLOAD_LINK = "https://aka.ms/vscollect.exe"
 $VS_INSTALL_ARGS = @("--nocache","--quiet","--wait", "--add Microsoft.VisualStudio.Workload.VCTools",
+                                                     "--add Microsoft.VisualStudio.Component.VC.Tools.14.13",
                                                      "--add Microsoft.Component.MSBuild",
                                                      "--add Microsoft.VisualStudio.Component.Roslyn.Compiler",
                                                      "--add Microsoft.VisualStudio.Component.TextTemplating",
@@ -16,25 +13,10 @@ $VS_INSTALL_ARGS = @("--nocache","--quiet","--wait", "--add Microsoft.VisualStud
 
 curl.exe --retry 3 -kL $VS_DOWNLOAD_LINK --output vs_installer.exe
 if ($LASTEXITCODE -ne 0) {
-    echo "Download of the VS 2019 Version 16.8.5 installer failed"
+    echo "Download of the VS 2017 installer failed"
     exit 1
 }
 
-if (Test-Path "${env:ProgramFiles(x86)}\Microsoft Visual Studio\Installer\vswhere.exe") {
-    $existingPath = & "${env:ProgramFiles(x86)}\Microsoft Visual Studio\Installer\vswhere.exe" -products "Microsoft.VisualStudio.Product.BuildTools" -version "[16, 17)" -property installationPath
-    if ($existingPath -ne $null) {
-        echo "Found existing BuildTools installation in $existingPath"
-        $VS_UNINSTALL_ARGS = @("uninstall", "--installPath", "`"$existingPath`"", "--quiet","--wait")
-        $process = Start-Process "${PWD}\vs_installer.exe" -ArgumentList $VS_UNINSTALL_ARGS -NoNewWindow -Wait -PassThru
-        $exitCode = $process.ExitCode
-        if (($exitCode -ne 0) -and ($exitCode -ne 3010)) {
-            echo "Original BuildTools uninstall failed with code $exitCode"
-            exit 1
-        }
-        echo "Original BuildTools uninstalled"
-    }
-}
-
 $process = Start-Process "${PWD}\vs_installer.exe" -ArgumentList $VS_INSTALL_ARGS -NoNewWindow -Wait -PassThru
 Remove-Item -Path vs_installer.exe -Force
 $exitCode = $process.ExitCode

.circleci/scripts/windows_cuda_install.sh

@@ -8,18 +8,9 @@ if [[ "$cuda_major_version" == "10" ]]; then
     msbuild_project_dir="CUDAVisualStudioIntegration/extras/visual_studio_integration/MSBuildExtensions"
     cuda_install_packages="nvcc_10.1 cuobjdump_10.1 nvprune_10.1 cupti_10.1 cublas_10.1 cublas_dev_10.1 cudart_10.1 cufft_10.1 cufft_dev_10.1 curand_10.1 curand_dev_10.1 cusolver_10.1 cusolver_dev_10.1 cusparse_10.1 cusparse_dev_10.1 nvgraph_10.1 nvgraph_dev_10.1 npp_10.1 npp_dev_10.1 nvrtc_10.1 nvrtc_dev_10.1 nvml_dev_10.1"
 elif [[ "$cuda_major_version" == "11" ]]; then
-    if [[ "${CUDA_VERSION}" == "11.1" ]]; then
-        cuda_installer_name="cuda_11.1.0_456.43_win10"
-        msbuild_project_dir="visual_studio_integration/CUDAVisualStudioIntegration/extras/visual_studio_integration/MSBuildExtensions"
-        cuda_install_packages="nvcc_11.1 cuobjdump_11.1 nvprune_11.1 nvprof_11.1 cupti_11.1 cublas_11.1 cublas_dev_11.1 cudart_11.1 cufft_11.1 cufft_dev_11.1 curand_11.1 curand_dev_11.1 cusolver_11.1 cusolver_dev_11.1 cusparse_11.1 cusparse_dev_11.1 npp_11.1 npp_dev_11.1 nvrtc_11.1 nvrtc_dev_11.1 nvml_dev_11.1"
-    elif [[ "${CUDA_VERSION}" == "11.3" ]]; then
-        cuda_installer_name="cuda_11.3.0_465.89_win10"
-        msbuild_project_dir="visual_studio_integration/CUDAVisualStudioIntegration/extras/visual_studio_integration/MSBuildExtensions"
-        cuda_install_packages="thrust_11.3 nvcc_11.3 cuobjdump_11.3 nvprune_11.3 nvprof_11.3 cupti_11.3 cublas_11.3 cublas_dev_11.3 cudart_11.3 cufft_11.3 cufft_dev_11.3 curand_11.3 curand_dev_11.3 cusolver_11.3 cusolver_dev_11.3 cusparse_11.3 cusparse_dev_11.3 npp_11.3 npp_dev_11.3 nvrtc_11.3 nvrtc_dev_11.3 nvml_dev_11.3"
-    else
-        echo "This should not happen! ABORT."
-        exit 1
-    fi
+    cuda_installer_name="cuda_11.1.0_456.43_win10"
+    msbuild_project_dir="visual_studio_integration/CUDAVisualStudioIntegration/extras/visual_studio_integration/MSBuildExtensions"
+    cuda_install_packages="nvcc_11.1 cuobjdump_11.1 nvprune_11.1 nvprof_11.1 cupti_11.1 cublas_11.1 cublas_dev_11.1 cudart_11.1 cufft_11.1 cufft_dev_11.1 curand_11.1 curand_dev_11.1 cusolver_11.1 cusolver_dev_11.1 cusparse_11.1 cusparse_dev_11.1 npp_11.1 npp_dev_11.1 nvrtc_11.1 nvrtc_dev_11.1 nvml_dev_11.1"
 else
     echo "CUDA_VERSION $CUDA_VERSION is not supported yet"
     exit 1

.circleci/scripts/windows_cudnn_install.sh

@@ -6,14 +6,7 @@ cuda_major_version=${CUDA_VERSION%.*}
 if [[ "$cuda_major_version" == "10" ]]; then
     cudnn_installer_name="cudnn-${CUDA_VERSION}-windows10-x64-v7.6.4.38"
 elif [[ "$cuda_major_version" == "11" ]]; then
-    if [[ "${CUDA_VERSION}" == "11.1" ]]; then
-        cudnn_installer_name="cudnn-${CUDA_VERSION}-windows-x64-v8.0.5.39"
-    elif [[ "${CUDA_VERSION}" == "11.3" ]]; then
-        cudnn_installer_name="cudnn-${CUDA_VERSION}-windows-x64-v8.2.0.53"
-    else
-        echo "This should not happen! ABORT."
-        exit 1
-    fi
+    cudnn_installer_name="cudnn-${CUDA_VERSION}-windows-x64-v8.0.5.39"
 else
     echo "CUDNN for CUDA_VERSION $CUDA_VERSION is not supported yet"
     exit 1

.circleci/verbatim-sources/build-parameters/pytorch-build-params.yml

@@ -22,24 +22,6 @@ pytorch_params: &pytorch_params
     BUILD_ONLY: << parameters.build_only >>
   resource_class: << parameters.resource_class >>
 
-pytorch_android_params: &pytorch_android_params
-  parameters:
-    build_environment:
-      type: string
-      default: ""
-    op_list:
-      type: string
-      default: ""
-    lite_interpreter:
-      type: string
-      default: "1"
-  environment:
-    BUILD_ENVIRONMENT: pytorch-linux-xenial-py3-clang5-android-ndk-r19c-gradle-custom-build-single
-    DOCKER_IMAGE: "308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c"
-    PYTHON_VERSION: "3.6"
-    SELECTED_OP_LIST: << parameters.op_list >>
-    BUILD_LITE_INTERPRETER: << parameters.lite_interpreter >>
-
 pytorch_ios_params: &pytorch_ios_params
   parameters:
     build_environment:
@@ -57,16 +39,12 @@ pytorch_ios_params: &pytorch_ios_params
     use_metal:
       type: string
       default: "0"
-    lite_interpreter:
-      type: string
-      default: "1"
   environment:
     BUILD_ENVIRONMENT: << parameters.build_environment >>
     IOS_ARCH: << parameters.ios_arch >>
     IOS_PLATFORM: << parameters.ios_platform >>
     SELECTED_OP_LIST: << parameters.op_list >>
     USE_PYTORCH_METAL: << parameters.use_metal >>
-    BUILD_LITE_INTERPRETER: << parameters.lite_interpreter >>
 
 pytorch_windows_params: &pytorch_windows_params
   parameters:
@@ -106,6 +84,6 @@ pytorch_windows_params: &pytorch_windows_params
     VC_YEAR: <<parameters.vc_year>>
     VC_PRODUCT: <<parameters.vc_product>>
     USE_CUDA: <<parameters.use_cuda>>
-    TORCH_CUDA_ARCH_LIST: "5.2 7.5"
+    TORCH_CUDA_ARCH_LIST: "7.5"
     JOB_BASE_NAME: <<parameters.test_name>>
     JOB_EXECUTOR: <<parameters.executor>>

.circleci/verbatim-sources/commands.yml

@@ -111,11 +111,11 @@ commands:
                 git config --global user.email "circleci.ossci@gmail.com"
                 git config --global user.name "CircleCI"
                 git config remote.origin.url https://github.com/pytorch/pytorch.git
-                git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master
-                git fetch --tags --progress https://github.com/pytorch/pytorch.git +refs/heads/master:refs/remotes/origin/master --depth=100 --quiet
+                git config --add remote.origin.fetch +refs/heads/release/1.8:refs/remotes/origin/release/1.8
+                git fetch --tags --progress https://github.com/pytorch/pytorch.git +refs/heads/release/1.8:refs/remotes/origin/release/1.8 --depth=100 --quiet
                 # PRs generated from ghstack has format CIRCLE_PR_BASE_BRANCH=gh/xxx/1234/base
                 if [[ "${CIRCLE_PR_BASE_BRANCH}" == "gh/"* ]]; then
-                  CIRCLE_PR_BASE_BRANCH=master
+                  CIRCLE_PR_BASE_BRANCH=release/1.8
                 fi
                 export GIT_MERGE_TARGET=`git log -n 1 --pretty=format:"%H" origin/$CIRCLE_PR_BASE_BRANCH`
                 echo "GIT_MERGE_TARGET: " ${GIT_MERGE_TARGET}

.circleci/verbatim-sources/header-section.yml

@@ -14,15 +14,19 @@ parameters:
   run_build:
     type: boolean
     default: true
-  run_master_build:
-    type: boolean
-    default: false
+
+docker_config_defaults: &docker_config_defaults
+  user: jenkins
+  aws_auth:
+    # This IAM user only allows read-write access to ECR
+    aws_access_key_id: ${CIRCLECI_AWS_ACCESS_KEY_FOR_ECR_READ_WRITE_V4}
+    aws_secret_access_key: ${CIRCLECI_AWS_SECRET_KEY_FOR_ECR_READ_WRITE_V4}
 
 executors:
   windows-with-nvidia-gpu:
     machine:
       resource_class: windows.gpu.nvidia.medium
-      image: windows-server-2019-nvidia:previous
+      image: windows-server-2019-nvidia:stable
       shell: bash.exe
 
   windows-xlarge-cpu-with-nvidia-cuda:

.circleci/verbatim-sources/job-specs/binary-job-specs.yml

@@ -45,7 +45,7 @@
   binary_linux_test:
     <<: *binary_linux_test_upload_params
     machine:
-        image: ubuntu-2004:202104-01
+        image: ubuntu-1604:202007-01
     steps:
     # See Note [Workspace for CircleCI scripts] in job-specs-setup.yml
     - checkout
@@ -108,7 +108,7 @@
   smoke_linux_test:
     <<: *binary_linux_test_upload_params
     machine:
-      image: ubuntu-2004:202104-01
+      image: ubuntu-1604:202007-01
     steps:
     - checkout
     - calculate_docker_image_tag
@@ -293,6 +293,11 @@
     steps:
     # See Note [Workspace for CircleCI scripts] in job-specs-setup.yml
     - checkout
+    - run:
+        name: _HACK_ Install CUDA compatible cmath
+        no_output_timeout: 1m
+        command: |
+            powershell .circleci/scripts/vs_install_cmath.ps1
     - run:
         <<: *binary_checkout
     - run:
@@ -308,8 +313,6 @@
     - persist_to_workspace:
         root: "C:/w"
         paths: final_pkgs
-    - store_artifacts:
-        path: C:/w/final_pkgs
 
   binary_windows_test:
     <<: *binary_windows_params
@@ -392,3 +395,4 @@
           command: |
               ANACONDA_API_TOKEN="${CONDA_PYTORCHBOT_TOKEN}" \
               scripts/release/anaconda-prune/run.sh
+

.circleci/verbatim-sources/job-specs/binary_update_htmls.yml

@@ -8,7 +8,7 @@
   # then install the one with the most recent version.
   update_s3_htmls: &update_s3_htmls
     machine:
-      image: ubuntu-2004:202104-01
+      image: ubuntu-1604:202007-01
     resource_class: medium
     steps:
     - checkout

.circleci/verbatim-sources/job-specs/docker_jobs.yml

@@ -4,7 +4,7 @@
           type: string
           default: ""
       machine:
-        image: ubuntu-2004:202104-01
+        image: ubuntu-1604:202007-01
       resource_class: large
       environment:
         IMAGE_NAME: << parameters.image_name >>
@@ -20,10 +20,7 @@
               set +x
               export AWS_ACCESS_KEY_ID=${CIRCLECI_AWS_ACCESS_KEY_FOR_DOCKER_BUILDER_V1}
               export AWS_SECRET_ACCESS_KEY=${CIRCLECI_AWS_SECRET_KEY_FOR_DOCKER_BUILDER_V1}
-              export AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
-              export AWS_REGION=us-east-1
-              aws ecr get-login-password --region $AWS_REGION|docker login --username AWS \
-                       --password-stdin $AWS_ACCOUNT_ID.dkr.ecr.$AWS_REGION.amazonaws.com
+              eval $(aws ecr get-login --no-include-email --region us-east-1)
               set -x
               # Check if image already exists, if it does then skip building it
               if docker manifest inspect "308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/${IMAGE_NAME}:${DOCKER_TAG}"; then
@@ -56,7 +53,7 @@
               cd .circleci/docker && ./build_docker.sh
   docker_for_ecr_gc_build_job:
       machine:
-        image: ubuntu-2004:202104-01
+        image: ubuntu-1604:202007-01
       steps:
         - checkout
         - run:
@@ -68,12 +65,9 @@
               set +x
               export AWS_ACCESS_KEY_ID=${CIRCLECI_AWS_ACCESS_KEY_FOR_DOCKER_BUILDER_V1}
               export AWS_SECRET_ACCESS_KEY=${CIRCLECI_AWS_SECRET_KEY_FOR_DOCKER_BUILDER_V1}
-              export AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
-              export AWS_REGION=us-east-1
-              aws ecr get-login-password --region $AWS_REGION|docker login --username AWS \
-                       --password-stdin $AWS_ACCOUNT_ID.dkr.ecr.$AWS_REGION.amazonaws.com
+              eval $(aws ecr get-login --no-include-email --region us-east-1)
               set -x
-              docker push $AWS_ACCOUNT_ID.dkr.ecr.$AWS_REGION.amazonaws.com/gc/ecr
+              docker push 308535385114.dkr.ecr.us-east-1.amazonaws.com/gc/ecr
   ecr_gc_job:
       parameters:
         project:

.circleci/verbatim-sources/job-specs/job-specs-custom.yml

@@ -1,7 +1,7 @@
   pytorch_doc_push:
     resource_class: medium
     machine:
-      image: ubuntu-2004:202104-01
+      image: ubuntu-1604:202007-01
     parameters:
       branch:
         type: string
@@ -30,7 +30,7 @@
       DOCKER_IMAGE: "308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3.6-gcc5.4"
     resource_class: large
     machine:
-      image: ubuntu-2004:202104-01
+      image: ubuntu-1604:202007-01
     steps:
     - checkout
     - calculate_docker_image_tag
@@ -75,7 +75,7 @@
       DOCKER_IMAGE: "308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3.6-gcc5.4"
     resource_class: large
     machine:
-      image: ubuntu-2004:202104-01
+      image: ubuntu-1604:202007-01
     steps:
     - checkout
     - calculate_docker_image_tag
@@ -111,43 +111,6 @@
         paths:
           - .
 
-  pytorch_macos_10_15_py3_build:
-    environment:
-      BUILD_ENVIRONMENT: pytorch-macos-10.15-py3-arm64-build
-    macos:
-      xcode: "12.3.0"
-    steps:
-      - checkout
-      - run_brew_for_macos_build
-      - run:
-          name: Build
-          no_output_timeout: "1h"
-          command: |
-            set -e
-            export IN_CI=1
-            export CROSS_COMPILE_ARM64=1
-
-            # Install sccache
-            sudo curl --retry 3 https://s3.amazonaws.com/ossci-macos/sccache_v2.15 --output /usr/local/bin/sccache
-            sudo chmod +x /usr/local/bin/sccache
-            export SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
-
-            # This IAM user allows write access to S3 bucket for sccache
-            set +x
-            export AWS_ACCESS_KEY_ID=${CIRCLECI_AWS_ACCESS_KEY_FOR_SCCACHE_S3_BUCKET_V4}
-            export AWS_SECRET_ACCESS_KEY=${CIRCLECI_AWS_SECRET_KEY_FOR_SCCACHE_S3_BUCKET_V4}
-            set -x
-
-            chmod a+x .jenkins/pytorch/macos-build.sh
-            unbuffer .jenkins/pytorch/macos-build.sh 2>&1 | ts
-
-      - persist_to_workspace:
-          root: /Users/distiller/workspace/
-          paths:
-            - miniconda3
-      - store_artifacts:
-          path: /Users/distiller/project/dist
-
   pytorch_macos_10_13_py3_build:
     environment:
       BUILD_ENVIRONMENT: pytorch-macos-10.13-py3-build
@@ -164,7 +127,7 @@
             export IN_CI=1
 
             # Install sccache
-            sudo curl --retry 3 https://s3.amazonaws.com/ossci-macos/sccache_v2.15 --output /usr/local/bin/sccache
+            sudo curl --retry 3 https://s3.amazonaws.com/ossci-macos/sccache --output /usr/local/bin/sccache
             sudo chmod +x /usr/local/bin/sccache
             export SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
 
@@ -201,42 +164,6 @@
 
             chmod a+x .jenkins/pytorch/macos-test.sh
             unbuffer .jenkins/pytorch/macos-test.sh 2>&1 | ts
-      - run:
-          name: Report results
-          no_output_timeout: "5m"
-          command: |
-            set -ex
-            source /Users/distiller/workspace/miniconda3/bin/activate
-            pip install boto3
-            export PYTHONPATH="$PWD"
-
-            # Using the same IAM user to write stats to our OSS bucket
-            export AWS_ACCESS_KEY_ID=${CIRCLECI_AWS_ACCESS_KEY_FOR_SCCACHE_S3_BUCKET_V4}
-            export AWS_SECRET_ACCESS_KEY=${CIRCLECI_AWS_SECRET_KEY_FOR_SCCACHE_S3_BUCKET_V4}
-            python tools/print_test_stats.py --upload-to-s3 --compare-with-s3 test
-          when: always
-      - store_test_results:
-          path: test/test-reports
-
-  pytorch_macos_10_13_py3_lite_interpreter_build_test:
-    environment:
-      BUILD_ENVIRONMENT: pytorch-macos-10.13-py3-test
-    macos:
-      xcode: "12.0"
-    steps:
-      - checkout
-      - attach_workspace:
-          at: ~/workspace
-      - run_brew_for_macos_build
-      - run:
-          name: Test
-          no_output_timeout: "1h"
-          command: |
-            set -e
-            export IN_CI=1
-            export BUILD_LITE_INTERPRETER=1
-            chmod a+x ${HOME}/project/.jenkins/pytorch/macos-lite-interpreter-build-test.sh
-            unbuffer ${HOME}/project/.jenkins/pytorch/macos-lite-interpreter-build-test.sh 2>&1 | ts
       - store_test_results:
           path: test/test-reports
 
@@ -247,7 +174,7 @@
       PYTHON_VERSION: "3.6"
     resource_class: large
     machine:
-      image: ubuntu-2004:202104-01
+      image: ubuntu-1604:202007-01
     steps:
     - checkout
     - calculate_docker_image_tag
@@ -336,7 +263,7 @@
       PYTHON_VERSION: "3.6"
     resource_class: large
     machine:
-      image: ubuntu-2004:202104-01
+      image: ubuntu-1604:202007-01
     steps:
     - checkout
     - calculate_docker_image_tag
@@ -372,7 +299,7 @@
       PYTHON_VERSION: "3.6"
     resource_class: large
     machine:
-      image: ubuntu-2004:202104-01
+      image: ubuntu-1604:202007-01
     steps:
     - checkout
     - calculate_docker_image_tag
@@ -408,10 +335,13 @@
         destination: artifacts.tgz
 
   pytorch_android_gradle_custom_build_single:
-    <<: *pytorch_android_params
+    environment:
+      BUILD_ENVIRONMENT: pytorch-linux-xenial-py3-clang5-android-ndk-r19c-gradle-custom-build-single
+      DOCKER_IMAGE: "308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c"
+      PYTHON_VERSION: "3.6"
     resource_class: large
     machine:
-      image: ubuntu-2004:202104-01
+      image: ubuntu-1604:202007-01
     steps:
     - checkout
     - calculate_docker_image_tag
@@ -431,11 +361,11 @@
           echo "DOCKER_IMAGE: ${DOCKER_IMAGE}:${DOCKER_TAG}"
           time docker pull ${DOCKER_IMAGE}:${DOCKER_TAG} >/dev/null
 
-          git submodule sync && git submodule update -q --init --recursive --depth 1
+          git submodule sync && git submodule update -q --init --recursive
           VOLUME_MOUNTS="-v /home/circleci/project/:/var/lib/jenkins/workspace"
           export id=$(docker run --env-file "${BASH_ENV}" ${VOLUME_MOUNTS} --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -t -d -w /var/lib/jenkins ${DOCKER_IMAGE}:${DOCKER_TAG})
 
-          export COMMAND='((echo "export GRADLE_OFFLINE=1" && echo "export BUILD_LITE_INTERPRETER=${BUILD_LITE_INTERPRETER}" && echo "sudo chown -R jenkins workspace && cd workspace && ./.circleci/scripts/build_android_gradle.sh") | docker exec -u jenkins -i "$id" bash) 2>&1'
+          export COMMAND='((echo "export GRADLE_OFFLINE=1" && echo "sudo chown -R jenkins workspace && cd workspace && ./.circleci/scripts/build_android_gradle.sh") | docker exec -u jenkins -i "$id" bash) 2>&1'
           echo ${COMMAND} > ./command.sh && unbuffer bash ./command.sh | ts
 
           # Skip docker push as this job is purely for size analysis purpose.
@@ -500,7 +430,7 @@
             # sync submodules
             cd ${PROJ_ROOT}
             git submodule sync
-            git submodule update --init --recursive --depth 1
+            git submodule update --init --recursive
 
             # export
             export CMAKE_PREFIX_PATH=${CONDA_PREFIX:-"$(dirname $(which conda))/../"}
@@ -510,7 +440,6 @@
             echo "IOS_ARCH: ${IOS_ARCH}"
             echo "IOS_PLATFORM: ${IOS_PLATFORM}"
             echo "USE_PYTORCH_METAL": "${USE_METAL}"
-            echo "BUILD_LITE_INTERPRETER": "${BUILD_LITE_INTERPRETER}"
 
             #check the custom build flag
             echo "SELECTED_OP_LIST: ${SELECTED_OP_LIST}"
@@ -528,10 +457,6 @@
           no_output_timeout: "30m"
           command: |
             set -e
-            if [ ${BUILD_LITE_INTERPRETER} == 0 ]; then
-              echo "Run Build Test is not for full jit, skipping."
-              exit 0
-            fi
             PROJ_ROOT=/Users/distiller/project
             PROFILE=PyTorch_CI_2021
             # run the ruby build script
@@ -557,9 +482,6 @@
             if [ ${IOS_PLATFORM} != "SIMULATOR" ]; then
               echo "not SIMULATOR build, skip it."
               exit 0
-            elif [ ${BUILD_LITE_INTERPRETER} == 0 ]; then
-              echo "Run Simulator Tests is not for full jit, skipping."
-              exit 0
             fi
             WORKSPACE=/Users/distiller/workspace
             PROJ_ROOT=/Users/distiller/project
@@ -575,7 +497,7 @@
   pytorch_linux_bazel_build:
     <<: *pytorch_params
     machine:
-      image: ubuntu-2004:202104-01
+      image: ubuntu-1604:202007-01
     steps:
     - checkout
     - calculate_docker_image_tag
@@ -593,7 +515,7 @@
 
           echo "Do NOT merge master branch into $CIRCLE_BRANCH in environment $BUILD_ENVIRONMENT"
 
-          git submodule sync && git submodule update -q --init --recursive --depth 1
+          git submodule sync && git submodule update -q --init --recursive
 
           docker cp /home/circleci/project/. $id:/var/lib/jenkins/workspace
 
@@ -613,7 +535,7 @@
   pytorch_linux_bazel_test:
     <<: *pytorch_params
     machine:
-      image: ubuntu-2004:202104-01
+      image: ubuntu-1604:202007-01
     steps:
     - checkout
     - calculate_docker_image_tag
@@ -654,26 +576,13 @@
     - store_test_results:
         path: bazel-testlogs
 
-  pytorch_windows_test_multigpu:
-    machine:
-      image: ubuntu-2004:202104-01
-    steps:
-      - checkout
-      - run:
-          name: Test
-          no_output_timeout: "90m"
-          command: |
-            set -e
-            python3 -m pip install requests
-            python3 ./.circleci/scripts/trigger_azure_pipeline.py
-
   pytorch_doc_test:
     environment:
       BUILD_ENVIRONMENT: pytorch-doc-test
       DOCKER_IMAGE: "308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3.6-gcc5.4"
     resource_class: medium
     machine:
-      image: ubuntu-2004:202104-01
+      image: ubuntu-1604:202007-01
     steps:
     - checkout
     - calculate_docker_image_tag

.circleci/verbatim-sources/job-specs/pytorch-job-specs.yml

@@ -2,7 +2,7 @@ jobs:
   pytorch_linux_build:
     <<: *pytorch_params
     machine:
-      image: ubuntu-2004:202104-01
+      image: ubuntu-1604:202007-01
     steps:
     # See Note [Workspace for CircleCI scripts] in job-specs-setup.yml
     - checkout
@@ -15,6 +15,9 @@ jobs:
         no_output_timeout: "1h"
         command: |
           set -e
+          if [[ "${DOCKER_IMAGE}" == *rocm3.9* ]]; then
+            export DOCKER_TAG="f3d89a32912f62815e4feaeed47e564e887dffd6"
+          fi
           if [[ ${BUILD_ENVIRONMENT} == *"pure_torch"* ]]; then
             echo 'BUILD_CAFFE2=OFF' >> "${BASH_ENV}"
           fi
@@ -30,11 +33,11 @@ jobs:
           time docker pull ${DOCKER_IMAGE}:${DOCKER_TAG} >/dev/null
           export id=$(docker run --env-file "${BASH_ENV}" --cap-add=SYS_PTRACE --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -t -d -w /var/lib/jenkins ${DOCKER_IMAGE}:${DOCKER_TAG})
 
-          git submodule sync && git submodule update -q --init --recursive --depth 1
+          git submodule sync && git submodule update -q --init --recursive
 
           docker cp /home/circleci/project/. $id:/var/lib/jenkins/workspace
 
-          export COMMAND='((echo "sudo chown -R jenkins workspace && export CIRCLE_JOB="$CIRCLE_JOB" && cd workspace && .jenkins/pytorch/build.sh && find ${BUILD_ROOT} -type f -name "*.a" -or -name "*.o" -delete") | docker exec -u jenkins -i "$id" bash) 2>&1'
+          export COMMAND='((echo "sudo chown -R jenkins workspace && cd workspace && .jenkins/pytorch/build.sh && find ${BUILD_ROOT} -type f -name "*.a" -or -name "*.o" -delete") | docker exec -u jenkins -i "$id" bash) 2>&1'
 
           echo ${COMMAND} > ./command.sh && unbuffer bash ./command.sh | ts
 
@@ -80,7 +83,7 @@ jobs:
   pytorch_linux_test:
     <<: *pytorch_params
     machine:
-      image: ubuntu-2004:202104-01
+      image: ubuntu-1604:202007-01
     steps:
     # See Note [Workspace for CircleCI scripts] in job-specs-setup.yml
     - checkout
@@ -165,7 +168,6 @@ jobs:
           # =================== The following code will be executed inside Docker container ===================
           set -ex
           export SCRIBE_GRAPHQL_ACCESS_TOKEN="${SCRIBE_GRAPHQL_ACCESS_TOKEN}"
-          export CIRCLE_JOB="$CIRCLE_JOB"
           ${PARALLEL_FLAGS}
           cd workspace
           EOL
@@ -180,27 +182,11 @@ jobs:
           fi
           echo "(cat docker_commands.sh | docker exec -u jenkins -i "$id" bash) 2>&1" > command.sh
           unbuffer bash command.sh | ts
-
-          if [[ ${BUILD_ENVIRONMENT} == *"coverage"* ]]; then
-              echo "Retrieving C++ coverage report"
-              docker cp $id:/var/lib/jenkins/workspace/build/coverage.info ./test
-          fi
-          if [[ ${BUILD_ENVIRONMENT} == *"coverage"* || ${BUILD_ENVIRONMENT} == *"onnx"* ]]; then
-              echo "Retrieving Python coverage report"
-              docker cp $id:/var/lib/jenkins/workspace/test/.coverage ./test
-              docker cp $id:/var/lib/jenkins/workspace/test/coverage.xml ./test
-              python3 -mpip install codecov
-              python3 -mcodecov
-          fi
     - run:
         name: Report results
         no_output_timeout: "5m"
         command: |
           set -e
-          # Retrieving test results should be done as very first step as command never fails
-          # But is always executed if previous step fails for some reason
-          echo "Retrieving test reports"
-          docker cp $id:/var/lib/jenkins/workspace/test/test-reports ./ || echo 'No test reports found!'
           docker stats --all --no-stream
 
           cat >docker_commands.sh \<<EOL
@@ -215,18 +201,27 @@ jobs:
           export CIRCLE_JOB="$CIRCLE_JOB"
           export CIRCLE_WORKFLOW_ID="$CIRCLE_WORKFLOW_ID"
           cd workspace
-          export PYTHONPATH="\${PWD}"
-          python tools/print_test_stats.py --upload-to-s3 --compare-with-s3 test
+          python test/print_test_stats.py --upload-to-s3 test
           EOL
-          echo "(cat docker_commands.sh | docker exec -u jenkins -e LANG=C.UTF-8 -i "$id" bash) 2>&1" > command.sh
+          echo "(cat docker_commands.sh | docker exec -u jenkins -i "$id" bash) 2>&1" > command.sh
           unbuffer bash command.sh | ts
+
+          echo "Retrieving test reports"
+          docker cp $id:/var/lib/jenkins/workspace/test/test-reports ./ || echo 'No test reports found!'
+          if [[ ${BUILD_ENVIRONMENT} == *"coverage"* ]]; then
+              echo "Retrieving C++ coverage report"
+              docker cp $id:/var/lib/jenkins/workspace/build/coverage.info ./test
+          fi
+          if [[ ${BUILD_ENVIRONMENT} == *"coverage"* || ${BUILD_ENVIRONMENT} == *"onnx"* ]]; then
+              echo "Retrieving Python coverage report"
+              docker cp $id:/var/lib/jenkins/workspace/test/.coverage ./test
+              docker cp $id:/var/lib/jenkins/workspace/test/coverage.xml ./test
+              python3 -mpip install codecov
+              python3 -mcodecov
+          fi
         when: always
     - store_test_results:
         path: test-reports
-    - store_artifacts:
-        path: test/.coverage
-    - store_artifacts:
-        path: test/coverage.xml
 
   pytorch_windows_build:
     <<: *pytorch_windows_params
@@ -262,10 +257,10 @@ jobs:
     steps:
       - checkout
       - run:
-          name: Install VS2019 toolchain
-          no_output_timeout: 10m
+          name: _HACK_ Install CUDA compatible cmath
+          no_output_timeout: 1m
           command: |
-              powershell .circleci/scripts/vs_install.ps1
+              powershell .circleci/scripts/vs_install_cmath.ps1
       - run:
           name: Install Cuda
           no_output_timeout: 30m
@@ -330,11 +325,6 @@ jobs:
       - checkout
       - attach_workspace:
           at: c:/users/circleci/workspace
-      - run:
-          name: Install VS2019 toolchain
-          no_output_timeout: 10m
-          command: |
-              powershell .circleci/scripts/vs_install.ps1
       - run:
           name: Install Cuda
           no_output_timeout: 30m
@@ -361,18 +351,5 @@ jobs:
             export AWS_SECRET_ACCESS_KEY=${CIRCLECI_AWS_SECRET_KEY_FOR_WIN_BUILD_V1}
             set -x
             .jenkins/pytorch/win-test.sh
-      - run:
-          name: Report results
-          no_output_timeout: "5m"
-          command: |
-            set -ex
-            export AWS_ACCESS_KEY_ID=${CIRCLECI_AWS_ACCESS_KEY_FOR_WIN_BUILD_V1}
-            export AWS_SECRET_ACCESS_KEY=${CIRCLECI_AWS_SECRET_KEY_FOR_WIN_BUILD_V1}
-            export PYTHONPATH="$PWD"
-            pip install typing_extensions boto3
-            python tools/print_test_stats.py --upload-to-s3 --compare-with-s3 test
-          when: always
       - store_test_results:
           path: test/test-reports
-      - store_artifacts:
-          path: test/coverage.xml

.circleci/verbatim-sources/workflows/workflows-scheduled-ci.yml

@@ -1,195 +0,0 @@
-  scheduled-ci:
-    triggers:
-      - schedule:
-          # runs every 4 hours on the 45th minute
-          cron: "45 0,4,8,12,16,20 * * *"
-          filters:
-            branches:
-              only:
-                - master
-    jobs:
-      - docker_build_job:
-          name: "docker-pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7"
-          image_name: "pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7"
-      - pytorch_linux_build:
-          name: periodic_pytorch_xenial_cuda11_3_cudnn8_gcc7_build
-          requires:
-            - "docker-pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7"
-          build_environment: "pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7-build"
-          docker_image: "308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7"
-      - pytorch_linux_test:
-          name: periodic_pytorch_xenial_cuda11_3_cudnn8_gcc7_test
-          requires:
-            - periodic_pytorch_xenial_cuda11_3_cudnn8_gcc7_build
-          build_environment: "pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7-test"
-          docker_image: "308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7"
-          use_cuda_docker_runtime: "1"
-          resource_class: gpu.medium
-      - pytorch_linux_build:
-          name: periodic_libtorch_xenial_cuda11_3_cudnn8_gcc7_build
-          requires:
-            - "docker-pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7"
-          build_environment: "pytorch-libtorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7-build"
-          docker_image: "308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7"
-      - pytorch_windows_build:
-          build_environment: pytorch-win-vs2019-cuda11-cudnn8-py3
-          cuda_version: "11.3"
-          name: periodic_pytorch_windows_cuda11.3_build
-          python_version: "3.6"
-          use_cuda: "1"
-          vc_product: BuildTools
-          vc_version: "14.28.29333"
-          vc_year: "2019"
-      - pytorch_windows_test:
-          build_environment: pytorch-win-vs2019-cuda11-cudnn8-py3
-          cuda_version: "11.3"
-          executor: windows-with-nvidia-gpu
-          name: periodic_pytorch_windows_cuda11.3_test1
-          python_version: "3.6"
-          requires:
-            - periodic_pytorch_windows_cuda11.3_build
-          test_name: pytorch-windows-test1
-          use_cuda: "1"
-          vc_product: BuildTools
-          vc_version: "14.28.29333"
-          vc_year: "2019"
-      - pytorch_windows_test:
-          build_environment: pytorch-win-vs2019-cuda11-cudnn8-py3
-          cuda_version: "11.3"
-          executor: windows-with-nvidia-gpu
-          name: periodic_pytorch_windows_cuda11.3_test2
-          python_version: "3.6"
-          requires:
-            - periodic_pytorch_windows_cuda11.3_build
-          test_name: pytorch-windows-test2
-          use_cuda: "1"
-          vc_product: BuildTools
-          vc_version: "14.28.29333"
-          vc_year: "2019"
-
-  # The following allows these jobs to run on ci-all and release branches
-  debuggable-scheduled-ci:
-    jobs:
-      - docker_build_job:
-          name: "docker-pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7"
-          image_name: "pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7"
-          filters:
-            branches:
-              only:
-                - /ci-all\/.*/
-                - /release\/.*/
-      - pytorch_linux_build:
-          name: pytorch_linux_xenial_cuda11_3_cudnn8_py3_gcc7_build
-          requires:
-            - "docker-pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7"
-          build_environment: "pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7-build"
-          docker_image: "308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7"
-          filters:
-            branches:
-              only:
-                - /ci-all\/.*/
-                - /release\/.*/
-      - pytorch_linux_test:
-          name: pytorch_linux_xenial_cuda11_3_cudnn8_py3_gcc7_test
-          requires:
-            - pytorch_linux_xenial_cuda11_3_cudnn8_py3_gcc7_build
-          build_environment: "pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7-test"
-          docker_image: "308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7"
-          use_cuda_docker_runtime: "1"
-          resource_class: gpu.medium
-          filters:
-            branches:
-              only:
-                - /ci-all\/.*/
-                - /release\/.*/
-      - pytorch_linux_build:
-          name: pytorch_libtorch_linux_xenial_cuda11_3_cudnn8_py3_gcc7_build
-          requires:
-            - "docker-pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7"
-          build_environment: "pytorch-libtorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7-build"
-          docker_image: "308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-cuda11.3-cudnn8-py3-gcc7"
-          filters:
-            branches:
-              only:
-                - /ci-all\/.*/
-                - /release\/.*/
-      - pytorch_windows_build:
-          build_environment: pytorch-win-vs2019-cuda11-cudnn8-py3
-          cuda_version: "11.3"
-          name: pytorch_windows_vs2019_py36_cuda11.3_build
-          python_version: "3.6"
-          use_cuda: "1"
-          vc_product: BuildTools
-          vc_version: "14.28.29333"
-          vc_year: "2019"
-          filters:
-            branches:
-              only:
-                - /ci-all\/.*/
-                - /release\/.*/
-      - pytorch_windows_test:
-          build_environment: pytorch-win-vs2019-cuda11-cudnn8-py3
-          cuda_version: "11.3"
-          executor: windows-with-nvidia-gpu
-          name: pytorch_windows_vs2019_py36_cuda11.3_test1
-          python_version: "3.6"
-          requires:
-            - pytorch_windows_vs2019_py36_cuda11.3_build
-          test_name: pytorch-windows-test1
-          use_cuda: "1"
-          vc_product: BuildTools
-          vc_version: "14.28.29333"
-          vc_year: "2019"
-          filters:
-            branches:
-              only:
-                - /ci-all\/.*/
-                - /release\/.*/
-      - pytorch_windows_test:
-          build_environment: pytorch-win-vs2019-cuda11-cudnn8-py3
-          cuda_version: "11.3"
-          executor: windows-with-nvidia-gpu
-          name: pytorch_windows_vs2019_py36_cuda11.3_test2
-          python_version: "3.6"
-          requires:
-            - pytorch_windows_vs2019_py36_cuda11.3_build
-          test_name: pytorch-windows-test2
-          use_cuda: "1"
-          vc_product: BuildTools
-          vc_version: "14.28.29333"
-          vc_year: "2019"
-          filters:
-            branches:
-              only:
-                - /ci-all\/.*/
-                - /release\/.*/
-
-  # the following clones pytorch_linux_xenial_cuda10_2_cudnn7_py3_gcc7's tests but enables
-  # slow tests and sets an environment variable so gradcheck runs with fast_mode=False
-  slow-gradcheck-scheduled-ci:
-    triggers:
-      - schedule:
-          # runs every 8 hours on the 45th minute
-          cron: "45 0,8,16 * * *"
-          filters:
-            branches:
-              only:
-                - master
-    jobs:
-      - docker_build_job:
-          name: "docker-pytorch-linux-xenial-cuda10.2-cudnn7-py3-gcc7"
-          image_name: "pytorch-linux-xenial-cuda10.2-cudnn7-py3-gcc7"
-      - pytorch_linux_build:
-          name: periodic_pytorch_xenial_cuda10_2_cudnn7_gcc7_build
-          requires:
-            - "docker-pytorch-linux-xenial-cuda10.2-cudnn7-py3-gcc7"
-          build_environment: "pytorch-linux-xenial-cuda10.2-cudnn7-py3-gcc7-build"
-          docker_image: "308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-cuda10.2-cudnn7-py3-gcc7"
-      - pytorch_linux_test:
-          name: periodic_pytorch_xenial_cuda10_2_cudnn7_gcc7_old_gradcheck_tests
-          requires:
-            - periodic_pytorch_xenial_cuda10_2_cudnn7_gcc7_build
-          build_environment: "pytorch-linux-xenial-cuda10.2-cudnn7-py3-gcc7-old-gradcheck-tests"
-          docker_image: "308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-cuda10.2-cudnn7-py3-gcc7"
-          use_cuda_docker_runtime: "1"
-          resource_class: gpu.medium

.circleci/windows-jni/include/jni.h

@@ -1129,3 +1129,4 @@ JNIEXPORT void JNI_OnUnload(JavaVM* vm, void* reserved);
 #define JNI_ABORT       2           /* free buffer w/o copying back */
 
 #endif  /* JNI_H_ */
+

.clang-tidy

@@ -6,11 +6,8 @@ bugprone-*,
 -bugprone-forward-declaration-namespace,
 -bugprone-macro-parentheses,
 -bugprone-lambda-function-name,
--bugprone-reserved-identifier,
 cppcoreguidelines-*,
--cppcoreguidelines-avoid-magic-numbers,
 -cppcoreguidelines-interfaces-global-init,
--cppcoreguidelines-macro-usage,
 -cppcoreguidelines-owning-memory,
 -cppcoreguidelines-pro-bounds-array-to-pointer-decay,
 -cppcoreguidelines-pro-bounds-constant-array-index,
@@ -33,7 +30,6 @@ modernize-*,
 -modernize-use-trailing-return-type,
 performance-*,
 -performance-noexcept-move-constructor,
--performance-unnecessary-value-param,
 '
 HeaderFilterRegex: 'torch/csrc/.*'
 AnalyzeTemporaryDtors: false

.coveragerc

@@ -1,15 +0,0 @@
-[run]
-plugins =
-    coverage_plugins.jit_plugin
-omit =
-    */tmp*
-    */Temp/*
-    */usr/local/lib*
-    *test/*
-
-[report]
-omit =
-    */tmp*
-    */Temp/*
-    */usr/local/lib*
-    *test/*

.flake8

@@ -4,7 +4,7 @@ max-line-length = 120
 # C408 ignored because we like the dict keyword argument syntax
 # E501 is not flexible enough, we're using B950 instead
 ignore =
-    E203,E305,E402,E501,E721,E741,F405,F821,F841,F999,W503,W504,C408,E302,W291,E303,
+    E203,E305,E402,E501,E721,E741,F403,F405,F821,F841,F999,W503,W504,C408,E302,W291,E303,
     # shebang has extra meaning in fbcode lints, so I think it's not worth trying
     # to line this up with executable bit
     EXE001,
@@ -13,20 +13,21 @@ ignore =
     # these ignores are from flake8-comprehensions; please fix!
     C400,C401,C402,C403,C404,C405,C407,C411,C413,C414,C415
 per-file-ignores = __init__.py: F401 torch/utils/cpp_extension.py: B950
-optional-ascii-coding = True
 exclude =
-    ./.git,
-    ./build_code_analyzer,
-    ./build_test_custom_build,
-    ./build,
-    ./caffe2,
-    ./docs/caffe2,
-    ./docs/cpp/src,
-    ./docs/src,
-    ./scripts,
-    ./test/generated_type_hints_smoketest.py,
-    ./third_party,
-    ./torch/include,
-    ./torch/lib,
-    ./venv,
-    *.pyi
+    docs/src,
+    docs/cpp/src,
+    venv,
+    third_party,
+    caffe2,
+    scripts,
+    docs/caffe2,
+    torch/lib/include,
+    torch/lib/tmp_install,
+    build,
+    torch/include,
+    *.pyi,
+    .git,
+    build,
+    build_test_custom_build,
+    build_code_analyzer,
+    test/generated_type_hints_smoketest.py

.gdbinit

@@ -1,14 +0,0 @@
-# automatically load the pytoch-gdb extension.
-#
-# gdb automatically tries to load this file whenever it is executed from the
-# root of the pytorch repo, but by default it is not allowed to do so due to
-# security reasons. If you want to use pytorch-gdb, please add the following
-# line to your ~/.gdbinit (i.e., the .gdbinit file which is in your home
-# directory, NOT this file):
-#    add-auto-load-safe-path /path/to/pytorch/.gdbinit
-#
-# Alternatively, you can manually load the pytorch-gdb commands into your
-# existing gdb session by doing the following:
-#    (gdb) source /path/to/pytorch/tools/gdb/pytorch-gdb.py
-
-source tools/gdb/pytorch-gdb.py

.github/pytorch-circleci-labels.yml

@@ -11,5 +11,3 @@ labels_to_circle_params:
         - v[0-9]+(\.[0-9]+)*-rc[0-9]+
     set_to_false:
       - run_build
-  ci/master:
-    parameter: run_master_build

.github/scale-config.yml

@@ -1,34 +0,0 @@
-# scale-config.yml:
-#   Powers what instance types are available for GHA auto-scaled
-#   runners. Runners listed here will be available as self hosted
-#   runners, configuration is directly pulled from the main branch.
-#
-# NOTE (Apr, 5, 2021): Linux runners are currently all an amazonlinux2
-#
-# TODO: Add some documentation on how the auto-scaling works
-#
-# NOTE: Default values,
-#
-# runner_types:
-#   runner_label:
-#     instance_type: m4.large
-#     os: linux
-#     max_available: 20
-#     disk_size: 50
-
-runner_types:
-  linux.2xlarge:
-    instance_type: c5.2xlarge
-    os: linux
-    max_available: 500
-    disk_size: 150
-  linux.8xlarge.nvidia.gpu:
-    instance_type: g3.8xlarge
-    os: linux
-    max_available: 50
-    disk_size: 150
-  windows.4xlarge:
-    instance_type: c5.4xlarge
-    os: windows
-    max_available: 200
-    disk_size: 256

.github/scripts/build_publish_nightly_docker.sh

@@ -1,42 +0,0 @@
-#!/bin/sh
-
-set -xeuo pipefail
-
-PYTORCH_DOCKER_TAG=$(git describe --tags --always)-devel
-CUDA_VERSION=11.1
-
-# Build PyTorch nightly docker
-make -f docker.Makefile \
-     DOCKER_REGISTRY=ghcr.io \
-     DOCKER_ORG=pytorch \
-     CUDA_VERSION=${CUDA_VERSION} \
-     DOCKER_IMAGE=pytorch-nightly \
-     DOCKER_TAG=${PYTORCH_DOCKER_TAG} \
-     INSTALL_CHANNEL=pytorch-nightly BUILD_TYPE=official devel-image
-
-# Get the PYTORCH_NIGHTLY_COMMIT from the docker image
-PYTORCH_NIGHTLY_COMMIT=$(docker run \
-       ghcr.io/pytorch/pytorch-nightly:${PYTORCH_DOCKER_TAG} \
-       python -c 'import torch; print(torch.version.git_version)' | head -c 7)
-
-docker tag ghcr.io/pytorch/pytorch-nightly:${PYTORCH_DOCKER_TAG} \
-       ghcr.io/pytorch/pytorch-nightly:${PYTORCH_NIGHTLY_COMMIT}-cu${CUDA_VERSION}
-
-docker tag ghcr.io/pytorch/pytorch-nightly:${PYTORCH_NIGHTLY_COMMIT}-cu${CUDA_VERSION} \
-       ghcr.io/pytorch/pytorch-nightly:latest
-
-# Push the nightly docker to GitHub Container Registry
-echo $GHCR_PAT | docker login ghcr.io -u pytorch --password-stdin
-make -f docker.Makefile \
-     DOCKER_REGISTRY=ghcr.io \
-     DOCKER_ORG=pytorch \
-     DOCKER_IMAGE=pytorch-nightly \
-     DOCKER_TAG=${PYTORCH_NIGHTLY_COMMIT}-cu${CUDA_VERSION} \
-     devel-push
-
-make -f docker.Makefile \
-     DOCKER_REGISTRY=ghcr.io \
-     DOCKER_ORG=pytorch \
-     DOCKER_IMAGE=pytorch-nightly \
-     DOCKER_TAG=latest \
-     devel-push

.github/scripts/generate_binary_build_matrix.py

@@ -10,13 +10,14 @@ architectures:
     * Latest ROCM
 """
 
-import argparse
 import json
-from typing import Dict, List
+import os
+import itertools
 
 CUDA_ARCHES = [
+    "10.1",
     "10.2",
-    "11.1"
+    "11.0"
 ]
 
 ROCM_ARCHES = [
@@ -24,17 +25,13 @@ ROCM_ARCHES = [
     "4.0"
 ]
 
+FULL_ARCHES = [
+    "cpu",
+    *CUDA_ARCHES,
+    *ROCM_ARCHES
+]
 
-def arch_type(arch_version: str) -> str:
-    if arch_version in CUDA_ARCHES:
-        return "cuda"
-    elif arch_version in ROCM_ARCHES:
-        return "rocm"
-    else:  # arch_version should always be "cpu" in this case
-        return "cpu"
-
-
-WHEEL_CONTAINER_IMAGES = {
+CONTAINER_IMAGES = {
     **{
         # TODO: Re-do manylinux CUDA image tagging scheme to be similar to
         #       ROCM so we don't have to do this replacement
@@ -48,29 +45,6 @@ WHEEL_CONTAINER_IMAGES = {
     "cpu": "pytorch/manylinux-cpu"
 }
 
-CONDA_CONTAINER_IMAGES = {
-    **{
-        gpu_arch: f"pytorch/conda-builder:cuda{gpu_arch}"
-        for gpu_arch in CUDA_ARCHES
-    },
-    "cpu": "pytorch/conda-builder:cpu"
-}
-
-LIBTORCH_CONTAINER_IMAGES = {
-    **{
-        # TODO: Re-do manylinux CUDA image tagging scheme to be similar to
-        #       ROCM so we don't have to do this replacement
-        (gpu_arch, "pre-cxx11"): f"pytorch/manylinux-cuda{gpu_arch.replace('.', '')}"
-        for gpu_arch in CUDA_ARCHES
-    },
-    **{
-        (gpu_arch, "cxx11-abi"): f"pytorch/libtorch-cxx11-builder:cuda{gpu_arch}"
-        for gpu_arch in CUDA_ARCHES
-    },
-    ("cpu", "pre-cxx11"): "pytorch/manylinux-cpu",
-    ("cpu", "cxx11-abi"): "pytorch/libtorch-cxx11-builder:cpu",
-}
-
 FULL_PYTHON_VERSIONS = [
     "3.6",
     "3.7",
@@ -79,89 +53,34 @@ FULL_PYTHON_VERSIONS = [
 ]
 
 
-def is_pull_request() -> bool:
-    return False
-    # return os.environ.get("GITHUB_HEAD_REF")
+def is_pull_request():
+    return os.environ.get("GITHUB_HEAD_REF")
 
-
-def snip_if(is_pr: bool, versions: List[str]) -> List[str]:
-    """
-    Return the full list of versions, or just the latest if on a PR.
-    """
-    return [versions[-1]] if is_pr else versions
-
-
-def generate_conda_matrix(is_pr: bool) -> List[Dict[str, str]]:
-    return [
-        {
+def generate_matrix():
+    python_versions = FULL_PYTHON_VERSIONS
+    arches = FULL_ARCHES
+    if is_pull_request():
+        python_versions = [python_versions[-1]]
+        arches = ["cpu", CUDA_ARCHES[-1], ROCM_ARCHES[-1]]
+    matrix = []
+    for item in itertools.product(python_versions, arches):
+        python_version, arch_version = item
+        # Not my favorite code here
+        gpu_arch_type = "cuda"
+        if "rocm" in CONTAINER_IMAGES[arch_version]:
+            gpu_arch_type = "rocm"
+        elif "cpu" in CONTAINER_IMAGES[arch_version]:
+            gpu_arch_type = "cpu"
+        matrix.append({
             "python_version": python_version,
-            "gpu_arch_type": arch_type(arch_version),
+            "gpu_arch_type": gpu_arch_type,
             "gpu_arch_version": arch_version,
-            "container_image": CONDA_CONTAINER_IMAGES[arch_version],
-        }
-        for python_version in snip_if(is_pr, FULL_PYTHON_VERSIONS)
-        # We don't currently build conda packages for rocm
-        for arch_version in ["cpu"] + snip_if(is_pr, CUDA_ARCHES)
-    ]
-
-
-def generate_libtorch_matrix(is_pr: bool) -> List[Dict[str, str]]:
-    libtorch_variants = [
-        "shared-with-deps",
-        "shared-without-deps",
-        "static-with-deps",
-        "static-without-deps",
-    ]
-    return [
-        {
-            "gpu_arch_type": arch_type(arch_version),
-            "gpu_arch_version": arch_version,
-            "libtorch_variant": libtorch_variant,
-            "devtoolset": abi_version,
-            "container_image": LIBTORCH_CONTAINER_IMAGES[(arch_version, abi_version)],
-        }
-        # We don't currently build libtorch for rocm
-        for arch_version in ["cpu"] + snip_if(is_pr, CUDA_ARCHES)
-        for libtorch_variant in libtorch_variants
-        # one of the values in the following list must be exactly
-        # "cxx11-abi", but the precise value of the other one doesn't
-        # matter
-        for abi_version in ["cxx11-abi", "pre-cxx11"]
-    ]
-
-
-def generate_wheels_matrix(is_pr: bool) -> List[Dict[str, str]]:
-    arches = ["cpu"]
-    arches += snip_if(is_pr, CUDA_ARCHES)
-    arches += snip_if(is_pr, ROCM_ARCHES)
-    return [
-        {
-            "python_version": python_version,
-            "gpu_arch_type": arch_type(arch_version),
-            "gpu_arch_version": arch_version,
-            "container_image": WHEEL_CONTAINER_IMAGES[arch_version],
-        }
-        for python_version in snip_if(is_pr, FULL_PYTHON_VERSIONS)
-        for arch_version in arches
-    ]
-
-
-def from_includes(includes: List[Dict[str, str]]) -> str:
-    return json.dumps({"include": includes})
-
-
-def main() -> None:
-    parser = argparse.ArgumentParser()
-    parser.add_argument('mode', choices=['conda', 'libtorch', 'wheels'])
-    args = parser.parse_args()
-
-    is_pr = is_pull_request()
-    print(from_includes({
-        'conda': generate_conda_matrix,
-        'libtorch': generate_libtorch_matrix,
-        'wheels': generate_wheels_matrix,
-    }[args.mode](is_pr)))
+            "container_image": CONTAINER_IMAGES[arch_version]
+        })
+    return json.dumps({"include": matrix})
 
+def main():
+    print(generate_matrix())
 
 if __name__ == "__main__":
     main()

.github/scripts/generate_linux_ci_workflows.py

@@ -1,161 +0,0 @@
-#!/usr/bin/env python3
-
-from pathlib import Path
-
-import jinja2
-
-DOCKER_REGISTRY = "308535385114.dkr.ecr.us-east-1.amazonaws.com"
-
-GITHUB_DIR = Path(__file__).parent.parent
-
-CPU_TEST_RUNNER = "linux.2xlarge"
-CUDA_TEST_RUNNER = "linux.8xlarge.nvidia.gpu"
-
-
-class PyTorchLinuxWorkflow:
-    def __init__(
-            self,
-            build_environment: str,
-            docker_image_base: str,
-            on_pull_request: bool = False,
-            enable_doc_jobs: bool = False,
-    ):
-        self.build_environment = build_environment
-        self.docker_image_base = docker_image_base
-        self.test_runner_type = CPU_TEST_RUNNER
-        self.on_pull_request = on_pull_request
-        self.enable_doc_jobs = enable_doc_jobs
-        if "cuda" in build_environment:
-            self.test_runner_type = CUDA_TEST_RUNNER
-
-    def generate_workflow_file(
-        self, workflow_template: jinja2.Template, jinja_env: jinja2.Environment
-    ) -> Path:
-        output_file_path = GITHUB_DIR.joinpath(
-            f"workflows/{self.build_environment}.yml"
-        )
-        with open(output_file_path, "w") as output_file:
-            output_file.writelines(["# @generated DO NOT EDIT MANUALLY\n"])
-            output_file.write(
-                workflow_template.render(
-                    build_environment=self.build_environment,
-                    docker_image_base=self.docker_image_base,
-                    test_runner_type=self.test_runner_type,
-                    enable_doc_jobs=self.enable_doc_jobs,
-                    on_pull_request=self.on_pull_request,
-                )
-            )
-            output_file.write('\n')
-        return output_file_path
-
-
-WORKFLOWS = [
-    PyTorchLinuxWorkflow(
-        build_environment="pytorch-linux-xenial-py3.6-gcc5.4",
-        docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3.6-gcc5.4",
-        on_pull_request=True,
-        enable_doc_jobs=True,
-    ),
-    # PyTorchLinuxWorkflow(
-    #     build_environment="pytorch-paralleltbb-linux-xenial-py3.6-gcc5.4",
-    #     docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3.6-gcc5.4",
-    # ),
-    # PyTorchLinuxWorkflow(
-    #     build_environment="pytorch-parallelnative-linux-xenial-py3.6-gcc5.4",
-    #     docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3.6-gcc5.4",
-    # ),
-    # PyTorchLinuxWorkflow(
-    #     build_environment="pytorch-pure_torch-linux-xenial-py3.6-gcc5.4",
-    #     docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3.6-gcc5.4",
-    # ),
-    # PyTorchLinuxWorkflow(
-    #     build_environment="pytorch-linux-xenial-py3.6-gcc7",
-    #     docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3.6-gcc7",
-    # ),
-    # PyTorchLinuxWorkflow(
-    #     build_environment="pytorch-linux-xenial-py3.6-clang5-asan",
-    #     docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-asan",
-    # ),
-    # PyTorchLinuxWorkflow(
-    #     build_environment="pytorch-linux-xenial-py3.6-clang7-onnx",
-    #     docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang7-onnx",
-    # ),
-    PyTorchLinuxWorkflow(
-        build_environment="pytorch-linux-xenial-cuda10.2-cudnn7-py3.6-gcc7",
-        docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-cuda10.2-cudnn7-py3-gcc7",
-    ),
-    # PyTorchLinuxWorkflow(
-    #     build_environment="pytorch-linux-xenial-cuda11.1-cudnn8-py3.6-gcc7",
-    #     docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-cuda11.1-cudnn8-py3-gcc7",
-    # ),
-    # PyTorchLinuxWorkflow(
-    #     build_environment="pytorch-libtorch-linux-xenial-cuda11.1-cudnn8-py3.6-gcc7",
-    #     docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-cuda11.1-cudnn8-py3-gcc7",
-    # ),
-    # PyTorchLinuxWorkflow(
-    #     build_environment="pytorch-linux-bionic-py3.6-clang9-noarch",
-    #     docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-bionic-py3.6-clang9",
-    # ),
-    # PyTorchLinuxWorkflow(
-    #     build_environment="pytorch-xla-linux-bionic-py3.6-clang9",
-    #     docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-bionic-py3.6-clang9",
-    # ),
-    # PyTorchLinuxWorkflow(
-    #     build_environment="pytorch-vulkan-linux-bionic-py3.6-clang9",
-    #     docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-bionic-py3.6-clang9",
-    # ),
-    # PyTorchLinuxWorkflow(
-    #     build_environment="pytorch-linux-bionic-py3.8-gcc9-coverage",
-    #     docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-bionic-py3.8-gcc9",
-    # ),
-    # PyTorchLinuxWorkflow(
-    #     build_environment="pytorch-linux-bionic-rocm3.9-py3.6",
-    #     docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-bionic-rocm3.9-py3.6",
-    # ),
-    # PyTorchLinuxWorkflow(
-    #     build_environment="pytorch-linux-xenial-py3.6-clang5-android-ndk-r19c-x86_32",
-    #     docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c",
-    # ),
-    # PyTorchLinuxWorkflow(
-    #     build_environment="pytorch-linux-xenial-py3.6-clang5-android-ndk-r19c-x86_64",
-    #     docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c",
-    # ),
-    # PyTorchLinuxWorkflow(
-    #     build_environment="pytorch-linux-xenial-py3.6-clang5-android-ndk-r19c-arm-v7a",
-    #     docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c",
-    # ),
-    # PyTorchLinuxWorkflow(
-    #     build_environment="pytorch-linux-xenial-py3.6-clang5-android-ndk-r19c-arm-v8a",
-    #     docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c",
-    # ),
-    # PyTorchLinuxWorkflow(
-    #     build_environment="pytorch-linux-xenial-py3.6-clang5-mobile",
-    #     docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-asan",
-    # ),
-    # PyTorchLinuxWorkflow(
-    #     build_environment="pytorch-linux-xenial-py3.6-clang5-mobile-custom-dynamic",
-    #     docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c",
-    # ),
-    # PyTorchLinuxWorkflow(
-    #     build_environment="pytorch-linux-xenial-py3.6-clang5-mobile-custom-static",
-    #     docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c",
-    # ),
-    # PyTorchLinuxWorkflow(
-    #     build_environment="pytorch-linux-xenial-py3.6-clang5-mobile-code-analysis",
-    #     docker_image_base=f"{DOCKER_REGISTRY}/pytorch/pytorch-linux-xenial-py3-clang5-android-ndk-r19c",
-    # ),
-]
-
-if __name__ == "__main__":
-    jinja_env = jinja2.Environment(
-        variable_start_string="!{{",
-        loader=jinja2.FileSystemLoader(str(GITHUB_DIR.joinpath("templates"))),
-    )
-    workflow_template = jinja_env.get_template("linux_ci_workflow.yml.in")
-    for workflow in WORKFLOWS:
-        print(
-            workflow.generate_workflow_file(
-                workflow_template=workflow_template,
-                jinja_env=jinja_env
-            )
-        )

.github/scripts/install_nvidia_utils_linux.sh

@@ -1,55 +0,0 @@
-#!/usr/bin/env bash
-
-set -eou pipefail
-
-DISTRIBUTION=$(. /etc/os-release;echo $ID$VERSION_ID) \
-DRIVER_FN="NVIDIA-Linux-x86_64-460.39.run"
-YUM_REPO_URL="https://nvidia.github.io/nvidia-docker/${DISTRIBUTION}/nvidia-docker.repo"
-
-install_nvidia_docker2_amzn2() {
-    (
-        set -x
-        # Needed for yum-config-manager
-        sudo yum install -y yum-utils
-        sudo yum-config-manager --add-repo "${YUM_REPO_URL}"
-        sudo yum install -y nvidia-docker2
-        sudo systemctl restart docker
-    )
-}
-
-install_nvidia_driver_amzn2() {
-    (
-        set -x
-        sudo yum groupinstall -y "Development Tools"
-        # ensure our kernel install is the same as our underlying kernel,
-        # groupinstall "Development Tools" has a habit of mismatching kernel headers
-        sudo yum install -y "kernel-devel-uname-r == $(uname -r)"
-        sudo curl -fsL -o /tmp/nvidia_driver "https://s3.amazonaws.com/ossci-linux/nvidia_driver/$DRIVER_FN"
-        sudo /bin/bash /tmp/nvidia_driver -s --no-drm || (sudo cat /var/log/nvidia-installer.log && false)
-        sudo rm -fv /tmp/nvidia_driver
-        nvidia-smi
-    )
-}
-
-# Install container toolkit based on distribution
-echo "== Installing nvidia container toolkit for ${DISTRIBUTION} =="
-case "${DISTRIBUTION}" in
-    amzn*)
-        install_nvidia_docker2_amzn2
-        ;;
-    *)
-        echo "ERROR: Unknown distribution ${DISTRIBUTION}"
-        exit 1
-        ;;
-esac
-
-echo "== Installing nvidia driver ${DRIVER_FN} =="
-case "${DISTRIBUTION}" in
-    amzn*)
-        install_nvidia_driver_amzn2
-        ;;
-    *)
-        echo "ERROR: Unknown distribution ${DISTRIBUTION}"
-        exit 1
-        ;;
-esac

.github/scripts/lint_native_functions.py

@@ -1,51 +0,0 @@
-#!/usr/bin/env python3
-'''
-Verify that it is possible to round-trip native_functions.yaml via ruamel under some
-configuration.  Keeping native_functions.yaml consistent in this way allows us to
-run codemods on the file using ruamel without introducing line noise.  Note that we don't
-want to normalize the YAML file, as that would to lots of spurious lint failures.  Anything
-that ruamel understands how to roundtrip, e.g., whitespace and comments, is OK!
-
-ruamel is a bit picky about inconsistent indentation, so you will have to indent your
-file properly.  Also, if you are working on changing the syntax of native_functions.yaml,
-you may find that you want to use some format that is not what ruamel prefers.  If so,
-it is OK to modify this script (instead of reformatting native_functions.yaml)--the point
-is simply to make sure that there is *some* configuration of ruamel that can round trip
-the YAML, not to be prescriptive about it.
-'''
-
-import ruamel.yaml
-import difflib
-import sys
-from pathlib import Path
-from io import StringIO
-
-def fn(base):
-    return str(base / Path("aten/src/ATen/native/native_functions.yaml"))
-
-with open(Path(__file__).parent.parent.parent / fn('.'), "r") as f:
-    contents = f.read()
-
-yaml = ruamel.yaml.YAML()
-yaml.preserve_quotes = True
-yaml.width = 1000
-yaml.boolean_representation = ['False', 'True']
-r = yaml.load(contents)
-
-# Cuz ruamel's author intentionally didn't include conversion to string
-# https://stackoverflow.com/questions/47614862/best-way-to-use-ruamel-yaml-to-dump-to-string-not-to-stream
-string_stream = StringIO()
-yaml.dump(r, string_stream)
-new_contents = string_stream.getvalue()
-string_stream.close()
-
-if contents != new_contents:
-    print("""\
-
-## LINT FAILURE: native_functions.yaml ##
-
-native_functions.yaml failed lint; please apply the diff below to fix lint.
-If you think this is in error, please see .github/scripts/lint_native_functions.py
-""", file=sys.stderr)
-    sys.stdout.writelines(difflib.unified_diff(contents.splitlines(True), new_contents.splitlines(True), fn('a'), fn('b')))
-    sys.exit(1)

.github/scripts/parse_ref.py

@@ -1,21 +0,0 @@
-#!/usr/bin/env python3
-
-import os
-import re
-
-
-def main() -> None:
-    ref = os.environ['GITHUB_REF']
-    m = re.match(r'^refs/(\w+)/(.*)$', ref)
-    if m:
-        category, stripped = m.groups()
-        if category == 'heads':
-            print(f'::set-output name=branch::{stripped}')
-        elif category == 'pull':
-            print(f'::set-output name=branch::pull/{stripped.split("/")[0]}')
-        elif category == 'tags':
-            print(f'::set-output name=tag::{stripped}')
-
-
-if __name__ == '__main__':
-    main()

.github/scripts/regenerate_cancel_redundant_workflow.py

@@ -1,37 +0,0 @@
-#!/usr/bin/env python3
-'''
-This file verifies that the workflows that are potentially canceled in our cancel_redundant_workflow.yml
-match the workflows we have running on pull requests (found in .github/workflows). This way, anytime a
-workflow is added or removed, people can be reminded to modify the cancel_redundant_workflow.yml accordingly.
-'''
-
-
-import ruamel.yaml
-from pathlib import Path
-
-
-yaml = ruamel.yaml.YAML()
-yaml.preserve_quotes = True
-yaml.boolean_representation = ['False', 'True']
-yaml.default_flow_style = False
-
-
-if __name__ == '__main__':
-    workflow_paths = (Path(__file__).parent.parent / 'workflows').rglob('*')
-    workflows = []
-    for path in workflow_paths:
-        if path.suffix in {'.yml', '.yaml'}:
-            with open(path) as f:
-                data = yaml.load(f)
-                assert 'name' in data, 'Every GHA workflow must have a name.'
-                if 'pull_request' in data['on']:
-                    workflows.append(data['name'])
-
-    with open('.github/workflows/cancel_redundant_workflows.yml', 'r') as f:
-        data = yaml.load(f)
-
-    # Replace workflows to cancel
-    data['on']['workflow_run']['workflows'] = sorted(workflows)
-
-    with open('.github/workflows/cancel_redundant_workflows.yml', 'w') as f:
-        yaml.dump(data, f)

.github/scripts/report_git_status.sh

@@ -1,5 +0,0 @@
-#!/usr/bin/env bash
-CHANGES=$(git status --porcelain)
-echo "$CHANGES"
-git diff
-[ -z "$CHANGES" ]

.github/scripts/run_torchbench.py

@@ -1,103 +0,0 @@
-"""
-Generate a torchbench test report from a file containing the PR body.
-Currently, only supports running tests on specified model names
-
-Testing environment:
-- Intel Xeon 8259CL @ 2.50 GHz, 24 Cores with disabled Turbo and HT
-- Nvidia Tesla T4
-- Nvidia Driver 450.51.06
-- Python 3.7
-- CUDA 10.2
-"""
-# Known issues:
-# 1. Does not reuse the build artifact in other CI workflows
-# 2. CI jobs are serialized because there is only one worker
-import os
-import pathlib
-import argparse
-import subprocess
-
-from typing import List
-
-CUDA_VERSION = "cu102"
-PYTHON_VERSION = "3.7"
-TORCHBENCH_CONFIG_NAME = "config.yaml"
-MAGIC_PREFIX = "RUN_TORCHBENCH:"
-ABTEST_CONFIG_TEMPLATE = """# This config is automatically generated by run_torchbench.py
-start: {control}
-end: {treatment}
-threshold: 100
-direction: decrease
-timeout: 720
-tests:"""
-
-def gen_abtest_config(control: str, treatment: str, models: List[str]):
-    d = {}
-    d["control"] = control
-    d["treatment"] = treatment
-    config = ABTEST_CONFIG_TEMPLATE.format(**d)
-    if models == ["ALL"]:
-        return config + "\n"
-    for model in models:
-        config = f"{config}\n  - {model}"
-    config = config + "\n"
-    return config
-
-def deploy_torchbench_config(output_dir: str, config: str):
-    # Create test dir if needed
-    pathlib.Path(output_dir).mkdir(exist_ok=True)
-    # TorchBench config file name
-    config_path = os.path.join(output_dir, TORCHBENCH_CONFIG_NAME)
-    with open(config_path, "w") as fp:
-        fp.write(config)
-
-def extract_models_from_pr(torchbench_path: str, prbody_file: str) -> List[str]:
-    model_list = []
-    with open(prbody_file, "r") as pf:
-        lines = map(lambda x: x.strip(), pf.read().splitlines())
-        magic_lines = list(filter(lambda x: x.startswith(MAGIC_PREFIX), lines))
-        if magic_lines:
-            # Only the first magic line will be respected.
-            model_list = list(map(lambda x: x.strip(), magic_lines[0][len(MAGIC_PREFIX):].split(",")))
-    # Shortcut: if model_list is ["ALL"], run all the tests
-    if model_list == ["ALL"]:
-        return model_list
-    # Sanity check: make sure all the user specified models exist in torchbench repository
-    benchmark_path = os.path.join(torchbench_path, "torchbenchmark", "models")
-    full_model_list = [model for model in os.listdir(benchmark_path) if os.path.isdir(os.path.join(benchmark_path, model))]
-    for m in model_list:
-        if m not in full_model_list:
-            print(f"The model {m} you specified does not exist in TorchBench suite. Please double check.")
-            return []
-    return model_list
-
-def run_torchbench(pytorch_path: str, torchbench_path: str, output_dir: str):
-    # Copy system environment so that we will not override
-    env = dict(os.environ)
-    command = ["python", "bisection.py", "--work-dir", output_dir,
-               "--pytorch-src", pytorch_path, "--torchbench-src", torchbench_path,
-               "--config", os.path.join(output_dir, "config.yaml"),
-               "--output", os.path.join(output_dir, "result.txt")]
-    subprocess.check_call(command, cwd=torchbench_path, env=env)
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser(description='Run TorchBench tests based on PR')
-    parser.add_argument('--pr-num', required=True, type=str, help="The Pull Request number")
-    parser.add_argument('--pr-base-sha', required=True, type=str, help="The Pull Request base hash")
-    parser.add_argument('--pr-head-sha', required=True, type=str, help="The Pull Request head hash")
-    parser.add_argument('--pr-body', required=True, help="The file that contains body of a Pull Request")
-    parser.add_argument('--pytorch-path', required=True, type=str, help="Path to pytorch repository")
-    parser.add_argument('--torchbench-path', required=True, type=str, help="Path to TorchBench repository")
-    args = parser.parse_args()
-
-    output_dir: str = os.path.join(os.environ["HOME"], ".torchbench", "bisection", f"pr{args.pr_num}")
-    # Identify the specified models and verify the input
-    models = extract_models_from_pr(args.torchbench_path, args.pr_body)
-    if not models:
-        print("Can't parse the model filter from the pr body. Currently we only support allow-list.")
-        exit(1)
-    print(f"Ready to run TorchBench with benchmark. Result will be saved in the directory: {output_dir}.")
-    # Run TorchBench with the generated config
-    torchbench_config = gen_abtest_config(args.pr_base_sha, args.pr_head_sha, models)
-    deploy_torchbench_config(output_dir, torchbench_config)
-    run_torchbench(pytorch_path=args.pytorch_path, torchbench_path=args.torchbench_path, output_dir=output_dir)

.github/templates/linux_ci_workflow.yml.in

@@ -1,368 +0,0 @@
-# Template is at:    .github/templates/linux_ci_workflow.yml
-# Generation script: .github/scripts/generate_linux_ci_workflows.py
-name: Linux CI (!{{ build_environment }})
-
-on:
-  # TODO: Enable pull_request builds when we can verify capacity can be met by auto-scalers
-{%- if on_pull_request %}
-  pull_request:
-{%- endif %}
-  push:
-    branches:
-      - master
-      - release/*
-  workflow_dispatch:
-
-env:
-  BUILD_ENVIRONMENT: !{{ build_environment }}
-  DOCKER_IMAGE_BASE: !{{ docker_image_base }}
-  SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
-  TORCH_CUDA_ARCH_LIST: 5.2
-  IN_CI: 1
-  # Used for custom_opertor, jit_hooks, custom_backend, see .jenkins/pytorch/build.sh
-  CUSTOM_TEST_ARTIFACT_BUILD_DIR: build/custom_test_artifacts
-  ALPINE_IMAGE: "308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine"
-
-jobs:
-  calculate-docker-image:
-    runs-on: linux.2xlarge
-    env:
-      DOCKER_BUILDKIT: 1
-    timeout-minutes: 90
-    outputs:
-      docker_image: ${{ steps.calculate-tag.outputs.docker_image }}
-    steps:
-      - name: Checkout PyTorch
-        uses: actions/checkout@v2
-        with:
-          # deep clone, to allow use of git merge-base
-          fetch-depth: 0
-      - name: Calculate docker image tag
-        id: calculate-tag
-        run: |
-          DOCKER_TAG=$(git rev-parse HEAD:.circleci/docker)
-          echo "::set-output name=docker_tag::${DOCKER_TAG}"
-          echo "::set-output name=docker_image::${DOCKER_IMAGE_BASE}:${DOCKER_TAG}"
-      - name: Check if image should be built
-        id: check
-        env:
-          DOCKER_TAG: ${{ steps.calculate-tag.outputs.docker_tag }}
-          BASE_REVISION: ${{ github.event.pull_request.base.sha || github.sha }}
-        run: |
-          eval "$(aws ecr get-login --no-include-email --region us-east-1)"
-          set -x
-          # Check if image already exists, if it does then skip building it
-          if docker manifest inspect "${DOCKER_IMAGE_BASE}:${DOCKER_TAG}"; then
-            exit 0
-          fi
-          if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
-            # if we're on the base branch then use the parent commit
-            MERGE_BASE=$(git rev-parse HEAD~)
-          else
-            # otherwise we're on a PR, so use the most recent base commit
-            MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
-          fi
-          # Covers the case where a previous tag doesn't exist for the tree
-          # this is only really applicable on trees that don't have `.circleci/docker` at its merge base, i.e. nightly
-          if ! git rev-parse "$MERGE_BASE:.circleci/docker"; then
-            echo "Directory '.circleci/docker' not found in commit $MERGE_BASE, you should probably rebase onto a more recent commit"
-            exit 1
-          fi
-          PREVIOUS_DOCKER_TAG=$(git rev-parse "$MERGE_BASE:.circleci/docker")
-          # If no image exists but the hash is the same as the previous hash then we should error out here
-          if [[ "${PREVIOUS_DOCKER_TAG}" = "${DOCKER_TAG}" ]]; then
-            echo "ERROR: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
-            echo "       contact the PyTorch team to restore the original images"
-            exit 1
-          fi
-          echo ::set-output name=rebuild::yes
-      - name: Build and push docker image
-        if: steps.check.outputs.rebuild
-        env:
-          DOCKER_TAG: ${{ steps.calculate-tag.outputs.docker_tag }}
-          DOCKER_SKIP_S3_UPLOAD: 1
-        run: |
-          export IMAGE_NAME=${DOCKER_IMAGE_BASE#308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/}
-          cd .circleci/docker && ./build_docker.sh
-  build:
-    runs-on: linux.2xlarge
-    needs: calculate-docker-image
-    env:
-      DOCKER_IMAGE: ${{ needs.calculate-docker-image.outputs.docker_image }}
-    steps:
-      - name: Log in to ECR
-        run: |
-          aws ecr get-login --no-include-email --region us-east-1 > /tmp/ecr-login.sh
-          bash /tmp/ecr-login.sh
-          rm /tmp/ecr-login.sh
-      - name: Chown workspace
-        run: |
-          # Ensure the working directory gets chowned back to the current user
-          docker run --rm -v "$(pwd)":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
-      - name: Checkout PyTorch
-        uses: actions/checkout@v2
-        with:
-          fetch-depth: 0 # deep clone, to allow sharding to use git rev-list
-          submodules: recursive
-      - name: Pull docker image
-        run: |
-          docker pull "${DOCKER_IMAGE}"
-      - name: Preserve github env variables for use in docker
-        run: |
-          env | grep '^GITHUB' > "/tmp/github_env_${GITHUB_RUN_ID}"
-      - name: Build PyTorch
-        run: |
-          docker run \
-            -e BUILD_ENVIRONMENT \
-            -e MAX_JOBS="$(nproc --ignore=2)" \
-            -e SCCACHE_BUCKET \
-            -e CUSTOM_TEST_ARTIFACT_BUILD_DIR \
-            -e SKIP_SCCACHE_INITIALIZATION=1 \
-            -e TORCH_CUDA_ARCH_LIST \
-            --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
-            --security-opt seccomp=unconfined \
-            --cap-add=SYS_PTRACE \
-            --tty \
-            --user jenkins \
-            -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
-            -w /var/lib/jenkins/workspace \
-            "${DOCKER_IMAGE}" \
-            sh -c 'sudo chown -R jenkins . && .jenkins/pytorch/build.sh'
-      - name: Chown workspace
-        run: |
-          # Ensure the working directory gets chowned back to the current user
-          docker run --rm -v "$(pwd)":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
-      - name: Archive artifacts into zip
-        run: |
-          zip -r artifacts.zip dist/ build/
-      - uses: actions/upload-artifact@v2
-        name: Store PyTorch Build Artifacts
-        with:
-          name: ${{ env.BUILD_ENVIRONMENT }}
-          retention-days: 30
-          if-no-files-found: error
-          path:
-            artifacts.zip
-      - name: Clean up docker images
-        if: always()
-        run: |
-          # Prune all of the docker images
-          docker system prune -af
-  test:
-    runs-on: !{{ test_runner_type }}
-    needs:
-      - calculate-docker-image
-      - build
-    env:
-      DOCKER_IMAGE: ${{ needs.calculate-docker-image.outputs.docker_image }}
-    steps:
-      - name: Log in to ECR
-        run: |
-          aws ecr get-login --no-include-email --region us-east-1 > /tmp/ecr-login.sh
-          bash /tmp/ecr-login.sh
-          rm /tmp/ecr-login.sh
-      - name: Chown workspace
-        run: |
-          # Ensure the working directory gets chowned back to the current user
-          docker run --rm -v "$(pwd)/../":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
-      - name: Checkout PyTorch
-        uses: actions/checkout@v2
-      - name: Pull docker image
-        run: |
-          docker pull "${DOCKER_IMAGE}"
-      - name: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG
-        if: ${{ contains(env.BUILD_ENVIRONMENT, 'cuda') }}
-        run: |
-          bash .github/scripts/install_nvidia_utils_linux.sh
-          echo "GPU_FLAG=--gpus all" >> "${GITHUB_ENV}"
-      - name: Determine shm-size
-        run: |
-          shm_size="1g"
-          case "${BUILD_ENVIRONMENT}" in
-            *cuda*)
-              shm_size="2g"
-              ;;
-            *rocm*)
-              shm_size="8g"
-              ;;
-          esac
-          echo "SHM_SIZE=${shm_size}" >> "${GITHUB_ENV}"
-      - uses: actions/download-artifact@v2
-        name: Download PyTorch Build Artifacts
-        with:
-          name: ${{ env.BUILD_ENVIRONMENT }}
-      - name: Unzip artifacts
-        run: |
-          unzip -o artifacts.zip
-      - name: Output disk space left
-        run: |
-          sudo df -H
-      - name: Preserve github env variables for use in docker
-        run: |
-          env | grep '^GITHUB' > "/tmp/github_env_${GITHUB_RUN_ID}"
-      - name: Test PyTorch
-        run: |
-          # TODO: Stop building test binaries as part of the build phase
-          # Used for GPU_FLAG since that doesn't play nice
-          # shellcheck disable=SC2086
-          docker run \
-            ${GPU_FLAG:-} \
-            -e BUILD_ENVIRONMENT \
-            -e CUSTOM_TEST_ARTIFACT_BUILD_DIR \
-            -e IN_CI \
-            -e MAX_JOBS="$(nproc --ignore=2)" \
-            --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
-            --security-opt seccomp=unconfined \
-            --cap-add=SYS_PTRACE \
-            --shm-size="${SHM_SIZE}" \
-            --tty \
-            --user jenkins \
-            -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
-            -w /var/lib/jenkins/workspace \
-            "${DOCKER_IMAGE}" \
-            sh -c 'sudo chown -R jenkins . && pip install dist/*.whl && .jenkins/pytorch/test.sh'
-      - name: Chown workspace
-        if: always()
-        run: |
-          # Ensure the working directory gets chowned back to the current user
-          docker run --rm -v "$(pwd)":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
-      - uses: actions/upload-artifact@v2
-        name: Store PyTorch Test Reports
-        if: always()
-        with:
-          name: test-reports
-          retention-days: 30
-          if-no-files-found: error
-          path:
-            test/**/*.xml
-      - name: Clean up docker images
-        if: always()
-        run: |
-          # Ensure the working directory gets chowned back to the current user
-          docker run --rm -v "$(pwd)":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
-          # Prune all of the docker images
-          docker system prune -af
-  render_test_results:
-    if: always()
-    needs:
-      - test
-    runs-on: ubuntu-18.04
-    steps:
-      - name: Checkout PyTorch
-        uses: actions/checkout@v2
-        with:
-          # deep clone, to allow tools/print_test_stats.py to use Git commands
-          fetch-depth: 0
-      - uses: actions/download-artifact@v2
-        name: Download PyTorch Test Reports
-        with:
-          name: test-reports
-          path: test/test-reports
-      - uses: actions/setup-python@v2
-        with:
-          python-version: 3.9
-      - name: Install dependencies
-        # boto3 version copied from .circleci/docker/common/install_conda.sh
-        run: |
-          pip install -r requirements.txt
-          pip install boto3==1.16.34 junitparser rich
-      - name: Output Test Results (Click Me)
-        run: |
-          python tools/render_junit.py test
-      - name: Parse ref
-        id: parse-ref
-        run: .github/scripts/parse_ref.py
-      - name: Display and upload test statistics (Click Me)
-        # temporary hack: set CIRCLE_* vars, until we update
-        # tools/print_test_stats.py to natively support GitHub Actions
-        env:
-          SCRIBE_GRAPHQL_ACCESS_TOKEN: ${{ secrets.SCRIBE_GRAPHQL_ACCESS_TOKEN }}
-          AWS_ACCESS_KEY_ID: ${{ secrets.AWS_OSSCI_METRICS_ACCESS_KEY_ID }}
-          AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_OSSCI_METRICS_SECRET_ACCESS_KEY }}
-          CIRCLE_BRANCH: ${{ steps.parse-ref.outputs.branch }}
-          CIRCLE_JOB: !{{ build_environment }}
-          CIRCLE_PR_NUMBER: ${{ github.event.pull_request.number }}
-          CIRCLE_SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
-          CIRCLE_TAG: ${{ steps.parse-ref.outputs.tag }}
-          CIRCLE_WORKFLOW_ID: ${{ github.run_id }} # dunno if this corresponds
-        run: |
-          export PYTHONPATH=$PWD
-          python tools/print_test_stats.py --upload-to-s3 --compare-with-s3 test
-  {%- if enable_doc_jobs %}
-  pytorch_python_doc_build:
-    runs-on: linux.2xlarge
-    needs:
-      - calculate-docker-image
-      - build
-    env:
-      DOCKER_IMAGE: ${{ needs.calculate-docker-image.outputs.docker_image }}
-    steps:
-      - name: Log in to ECR
-        run: |
-          aws ecr get-login --no-include-email --region us-east-1 > /tmp/ecr-login.sh
-          bash /tmp/ecr-login.sh
-          rm /tmp/ecr-login.sh
-      - name: Chown workspace
-        run: |
-          # Ensure the working directory gets chowned back to the current user
-          docker run --rm -v "$(pwd)":/v -w /v alpine chown -R "$(id -u):$(id -g)" .
-      - name: Checkout PyTorch
-        uses: actions/checkout@v2
-        with:
-          fetch-depth: 0 # deep clone, to allow sharding to use git rev-list
-          submodules: recursive
-      - name: Pull docker image
-        run: |
-          docker pull "${DOCKER_IMAGE}"
-      - name: Preserve github env variables for use in docker
-        run: |
-          env | grep '^GITHUB' > "/tmp/github_env_${GITHUB_RUN_ID}"
-      - uses: actions/download-artifact@v2
-        name: Download PyTorch Build Artifacts
-        with:
-          name: ${{ env.BUILD_ENVIRONMENT }}
-      - name: Unzip artifacts
-        run: |
-          unzip -o artifacts.zip
-      - name: Build Python Doc in Docker
-        run: |
-          set -ex
-          time docker pull "${DOCKER_IMAGE}" > /dev/null
-          echo "${GITHUB_REF}"
-          ref=${GITHUB_REF##*/}
-          target=${ref//v}
-          docker run \
-            -e BUILD_ENVIRONMENT \
-            -e CUSTOM_TEST_ARTIFACT_BUILD_DIR \
-            -e IN_CI \
-            -e MAX_JOBS="$(nproc --ignore=2)" \
-            -e CIRCLE_SHA1="$GITHUB_SHA" \
-            --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
-            --security-opt seccomp=unconfined \
-            --cap-add=SYS_PTRACE \
-            --name="$GITHUB_SHA" \
-            --tty \
-            --user jenkins \
-            -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
-            -w /var/lib/jenkins/workspace \
-            "${DOCKER_IMAGE}" \
-            bash -c "sudo chown -R jenkins . && pip install dist/*.whl && ./.circleci/scripts/python_doc_push_script.sh docs/$target $target site"
-      - name: Chown workspace
-        run: |
-          # Ensure the working directory gets chowned back to the current user
-          docker run --rm -v "$(pwd)":/v -w /v alpine chown -R "$(id -u):$(id -g)" .
-      - name: Archive artifacts into zip
-        run: |
-          zip -r pytorch_github_io.zip "${GITHUB_WORKSPACE}/pytorch.github.io"
-      - uses: actions/upload-artifact@v2
-        name: Store PyTorch Build Artifacts
-        with:
-          name: pytorch_github_io
-          if-no-files-found: error
-          path: pytorch_github_io.zip
-      - name: Clean up docker images
-        if: always()
-        run: |
-          # Prune all of the docker images
-          docker system prune -af
-  {%- endif -%}

.github/workflows/add_annotations.yml

@@ -1,66 +0,0 @@
-name: Add annotations
-
-on:
-  workflow_run:
-    types:
-      - completed
-    workflows:
-      - Lint
-
-jobs:
-  annotate:
-    strategy:
-      fail-fast: false
-      matrix:
-        name:
-          - flake8-py3
-          - clang-tidy
-    runs-on: ubuntu-18.04
-    steps:
-      - name: Download artifact
-        uses: actions/github-script@v3
-        env:
-          RUN_ID: ${{ github.event.workflow_run.id }}
-          LINT_NAME: ${{ matrix.name }}
-        with:
-          # https://securitylab.github.com/research/github-actions-preventing-pwn-requests/
-          script: |
-            const artifacts = await github.actions.listWorkflowRunArtifacts({
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              run_id: process.env.RUN_ID,
-            });
-            const filteredArtifacts = artifacts.data.artifacts.filter(artifact => {
-              return artifact.name == process.env.LINT_NAME;
-            });
-            if (filteredArtifacts.length > 0) {
-              const matchArtifact = filteredArtifacts[0];
-              const download = await github.actions.downloadArtifact({
-                owner: context.repo.owner,
-                repo: context.repo.repo,
-                artifact_id: matchArtifact.id,
-                archive_format: 'zip',
-              });
-              const fs = require('fs');
-              fs.writeFileSync(
-                `${process.env.GITHUB_WORKSPACE}/linter-output.zip`,
-                Buffer.from(download.data),
-              );
-            }
-      - name: Unzip artifact
-        id: unzip
-        run: |
-          if unzip linter-output.zip annotations.json commit-sha.txt; then
-            echo ::set-output \
-              name=sha::"$(grep -Em1 '^[[:xdigit:]]{40}$' commit-sha.txt)"
-          fi
-      - if: steps.unzip.outputs.sha
-        name: Add annotations
-        uses: pytorch/add-annotations-github-action@master
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        with:
-          check_name: ${{ matrix.name }}
-          linter_output_path: annotations.json
-          commit_sha: ${{ steps.unzip.outputs.sha }}
-          mode: json

.github/workflows/auto_label.yml

@@ -1,47 +0,0 @@
-name: Label PRs & Issues
-
-on:
-  issues:
-    types: [opened, edited]
-  pull_request_target:
-    types: [edited, opened, synchronize, reopened]
-
-jobs:
-  auto-label-rocm:
-    runs-on: ubuntu-18.04
-    steps:
-    - name: Retrieve information
-      id: vars
-      env:
-        EVENT_NAME: ${{ github.event_name }}
-        PR_TITLE: ${{ github.event.pull_request.title }}
-        PR_NUMBER: ${{ github.event.pull_request.number }}
-        ISSUE_TITLE: ${{ github.event.issue.title }}
-        ISSUE_NUMBER: ${{ github.event.issue.number }}
-      run: |
-        set -eux
-        if [[ "$EVENT_NAME" == "pull_request_target" ]]; then
-          TITLE="${PR_TITLE}"
-          ISSUE_NUMBER="${PR_NUMBER}"
-        else
-          TITLE="${ISSUE_TITLE}"
-          # ISSUE_NUMBER is already set
-        fi
-        echo ::set-output name=TITLE::"${TITLE}"
-        echo ::set-output name=ISSUE_NUMBER::"${ISSUE_NUMBER}"
-    - name: Auto-label ROCm
-      env:
-        GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        TITLE: ${{ steps.vars.outputs.TITLE }}
-        ISSUE_NUMBER: ${{ steps.vars.outputs.ISSUE_NUMBER }}
-        OWNER: ${{ github.repository_owner }}
-        REPO: ${{ github.event.repository.name }}
-      run: |
-        set -eux
-        if [[ "${TITLE,,}" == *rocm* ]]; then
-          curl \
-            -X POST \
-            -H "Authorization: token ${GITHUB_TOKEN}" \
-            "https://api.github.com/repos/${OWNER}/${REPO}/issues/${ISSUE_NUMBER}/labels" \
-            -d '{"labels":["module: rocm"]}'
-        fi

.github/workflows/build_linux_binaries.yml

@@ -21,8 +21,8 @@ jobs:
         id: set-matrix
         run: |
           # outputting for debugging purposes
-          MATRIX=$(python .github/scripts/generate_binary_build_matrix.py wheels)
-          echo "${MATRIX}"
+          python .github/scripts/generate_binary_build_matrix.py
+          MATRIX=$(python .github/scripts/generate_binary_build_matrix.py)
           echo "::set-output name=matrix::${MATRIX}"
   build-wheel:
     if: ${{ github.repository_owner == 'pytorch' }}
@@ -31,7 +31,6 @@ jobs:
     strategy:
       matrix:
         ${{ fromJson(needs.generate-build-matrix.outputs.matrix) }}
-      fail-fast: false
     container:
       image: ${{ matrix.container_image }}
     env:
@@ -44,8 +43,6 @@ jobs:
       PYTORCH_BUILD_NUMBER: 1
       SKIP_ALL_TESTS: 1
     steps:
-      - name: Clean runner workspace
-        run: rm -rf "$GITHUB_WORKSPACE"
       - name: Clone pytorch/pytorch
         uses: actions/checkout@v2
         with:
@@ -61,17 +58,13 @@ jobs:
         run: |
           version=$(.github/scripts/generate_pytorch_version.py)
           echo "Generated version: ${version}"
-          echo "PYTORCH_BUILD_VERSION=${version}" >> "$GITHUB_ENV"
-      - name: Set BUILD_SPLIT_CUDA
-        if: ${{ matrix.gpu_arch_type == 'cuda' && matrix.gpu_arch_version == '11.1' }}
-        run: |
-          echo "BUILD_SPLIT_CUDA=1" >> "$GITHUB_ENV"
+          echo "PYTORCH_BUILD_VERSION=${version}" >> $GITHUB_ENV
       # TODO: Remove this once we remove the need for the directories to be
       #       in specific locations
       - name: Symlink repositories to root directory (for legacy scripts purposes)
         run: |
-          ln -s "$PWD"/pytorch /pytorch
-          ln -s "$PWD"/builder /builder
+          ln -s $(pwd)/pytorch /pytorch
+          ln -s $(pwd)/builder /builder
       # TODO: Bundle the correct build script in the base container image so
       #       that we don't have to do this type of specification
       - name: Build PyTorch binary (CUDA specific)

.github/workflows/build_linux_conda.yml

@@ -1,95 +0,0 @@
-name: Build Linux Conda Packages
-
-on:
-  # TODO: These are only runnable from workflow_dispatch, we need to eventually add
-  #       a cron
-  # TODO: Add an on_release trigger to build on tags
-  workflow_dispatch:
-
-jobs:
-  generate-build-matrix:
-    if: ${{ github.repository_owner == 'pytorch' }}
-    runs-on: ubuntu-18.04
-    outputs:
-      matrix: ${{ steps.set-matrix.outputs.matrix }}
-    container:
-      image: python:3.9
-    steps:
-      - name: Clone pytorch/pytorch
-        uses: actions/checkout@v2
-      - name: Generating build matrix
-        id: set-matrix
-        run: |
-          # outputting for debugging purposes
-          MATRIX=$(python .github/scripts/generate_binary_build_matrix.py conda)
-          echo "${MATRIX}"
-          echo "::set-output name=matrix::${MATRIX}"
-  build-conda:
-    if: ${{ github.repository_owner == 'pytorch' }}
-    needs: generate-build-matrix
-    runs-on: linux.2xlarge
-    strategy:
-      matrix:
-        ${{ fromJson(needs.generate-build-matrix.outputs.matrix) }}
-      fail-fast: false
-    container:
-      image: ${{ matrix.container_image }}
-    env:
-      DESIRED_PYTHON: ${{ matrix.python_version }}
-      # TODO: This is a legacy variable that we eventually want to get rid of in
-      #       favor of GPU_ARCH_VERSION
-      DESIRED_CUDA: ${{ matrix.gpu_arch_version }}
-      GPU_ARCH_VERSION: ${{ matrix.GPU_ARCH_VERSION }}
-      GPU_ARCH_TYPE: ${{ matrix.gpu_arch_type }}
-      NO_BUILD_SUFFIX: True
-      # TODO: This is a legacy variable, we should just default all build to use
-      #       this folder within the conda/build_pytorch.sh script
-      TORCH_CONDA_BUILD_FOLDER: pytorch-nightly
-      # TODO: Another legacy env variable that isn't useful anymore, should default
-      #       to pytorch within the scripts directly
-      ANACONDA_USER: pytorch
-      PYTORCH_FINAL_PACKAGE_DIR: /remote
-      # We specify the CONDA_BLD_PATH here since conda creates extremely long paths
-      # for its default build path
-      CONDA_BLD_PATH: /build
-      PYTORCH_BUILD_NUMBER: 1
-      SKIP_ALL_TESTS: 1
-    steps:
-      - name: Clean runner workspace
-        run: rm -rf "$GITHUB_WORKSPACE"
-      - name: Clone pytorch/pytorch
-        uses: actions/checkout@v2
-        with:
-          path: pytorch
-          submodules: recursive
-      - name: Clone pytorch/builder
-        uses: actions/checkout@v2
-        with:
-          repository: pytorch/builder
-          path: builder
-      - name: Generate version string
-        working-directory: pytorch/
-        run: |
-          version=$(.github/scripts/generate_pytorch_version.py)
-          echo "Generated version: ${version}"
-          echo "PYTORCH_BUILD_VERSION=${version}" >> "$GITHUB_ENV"
-      - name: Set BUILD_SPLIT_CUDA
-        if: ${{ matrix.gpu_arch_type == 'cuda' && matrix.gpu_arch_version == '11.1' }}
-        run: |
-          echo "BUILD_SPLIT_CUDA=1" >> "$GITHUB_ENV"
-      # TODO: Remove this once we remove the need for the directories to be
-      #       in specific locations
-      - name: Symlink repositories to root directory (for legacy scripts purposes)
-        run: |
-          mv "$PWD"/pytorch /pytorch
-          mv "$PWD"/builder /builder
-      # TODO: Bundle the correct build script in the base container image so
-      #       that we don't have to do this type of specification
-      - name: Build PyTorch binary
-        run: |
-          /builder/conda/build_pytorch.sh
-      - uses: actions/upload-artifact@v2
-        with:
-          name: pytorch-conda-py${{ matrix.python_version }}-${{matrix.gpu_arch_type}}-${{ matrix.gpu_arch_version }}
-          path: /remote/**/*.bz2
-      # TODO: Add a step here for uploading binaries

.github/workflows/build_linux_libtorch.yml

@@ -1,94 +0,0 @@
-name: Build Linux libtorch
-
-on:
-  # TODO: These are only runnable from workflow_dispatch, we need to eventually add
-  #       a cron
-  # TODO: Add an on_release trigger to build on tags
-  workflow_dispatch:
-
-jobs:
-  generate-build-matrix:
-    if: ${{ github.repository_owner == 'pytorch' }}
-    runs-on: ubuntu-18.04
-    outputs:
-      matrix: ${{ steps.set-matrix.outputs.matrix }}
-    container:
-      image: python:3.9
-    steps:
-      - name: Clone pytorch/pytorch
-        uses: actions/checkout@v2
-      - name: Generating build matrix
-        id: set-matrix
-        run: |
-          # outputting for debugging purposes
-          MATRIX=$(python .github/scripts/generate_binary_build_matrix.py libtorch)
-          echo "${MATRIX}"
-          echo "::set-output name=matrix::${MATRIX}"
-  build-libtorch:
-    if: ${{ github.repository_owner == 'pytorch' }}
-    needs: generate-build-matrix
-    runs-on: linux.2xlarge
-    strategy:
-      matrix:
-        ${{ fromJson(needs.generate-build-matrix.outputs.matrix) }}
-      fail-fast: false
-    container:
-      image: ${{ matrix.container_image }}
-    env:
-      # TODO: remove this var from the libtorch builder script(s)
-      DESIRED_PYTHON: '3.7'
-      # TODO: This is a legacy variable that we eventually want to get rid of in
-      #       favor of GPU_ARCH_VERSION
-      DESIRED_CUDA: ${{ matrix.gpu_arch_version }}
-      GPU_ARCH_VERSION: ${{ matrix.GPU_ARCH_VERSION }}
-      GPU_ARCH_TYPE: ${{ matrix.gpu_arch_type }}
-      BUILD_PYTHONLESS: 1
-      LIBTORCH_VARIANT: ${{ matrix.libtorch_variant }}
-      # TODO: remove this and bake env var into the Docker image
-      DESIRED_DEVTOOLSET: ${{ matrix.devtoolset }}
-      PYTORCH_BUILD_NUMBER: 1
-      SKIP_ALL_TESTS: 1
-    steps:
-      - name: Clean runner workspace
-        run: rm -rf "$GITHUB_WORKSPACE"
-      - name: Clone pytorch/pytorch
-        uses: actions/checkout@v2
-        with:
-          path: pytorch
-          submodules: recursive
-      - name: Clone pytorch/builder
-        uses: actions/checkout@v2
-        with:
-          repository: pytorch/builder
-          path: builder
-      - name: Generate version string
-        working-directory: pytorch/
-        run: |
-          version=$(.github/scripts/generate_pytorch_version.py)
-          echo "Generated version: ${version}"
-          echo "PYTORCH_BUILD_VERSION=${version}" >> "$GITHUB_ENV"
-      - name: Set BUILD_SPLIT_CUDA
-        if: ${{ matrix.gpu_arch_type == 'cuda' && matrix.gpu_arch_version == '11.1' }}
-        run: |
-          echo "BUILD_SPLIT_CUDA=1" >> "$GITHUB_ENV"
-      # TODO: Remove this once we remove the need for the directories to be
-      #       in specific locations
-      - name: Symlink repositories to root directory (for legacy scripts purposes)
-        run: |
-          ln -s "$PWD"/pytorch /pytorch
-          ln -s "$PWD"/builder /builder
-      # TODO: Bundle the correct build script in the base container image so
-      #       that we don't have to do this type of specification
-      - name: Build PyTorch binary (CUDA specific)
-        if: ${{ matrix.gpu_arch_type == 'cuda' }}
-        run: |
-          /builder/manywheel/build.sh
-      - name: Build PyTorch binary (CPU specific)
-        if: ${{ matrix.gpu_arch_type == 'cpu' }}
-        run: |
-          /builder/manywheel/build_cpu.sh
-      - uses: actions/upload-artifact@v2
-        with:
-          name: pytorch-libtorch-${{ matrix.libtorch_variant }}-${{ matrix.devtoolset }}-${{matrix.gpu_arch_type}}-${{ matrix.gpu_arch_version }}
-          path: /remote/**/*.zip
-      # TODO: Add a step here for uploading binaries

.github/workflows/cancel_redundant_workflows.yml

@@ -1,24 +0,0 @@
-name: Cancel redundant workflows
-on:
-  workflow_run:
-    types:
-    - requested
-    # NOTE: Make sure to add to this list as you add more workflows running on 'pull_request'
-    workflows:
-    - Lint
-    - Linux CI (pytorch-linux-xenial-py3.6-gcc5.4)
-    - Test tools
-    - TorchBench CI (pytorch-linux-py3.7-cu102)
-    - clang-format
-jobs:
-  cancel:
-    # We do not want to cancel reruns on master
-    if: github.event.workflow_run.head_branch != 'master'
-    runs-on: ubuntu-18.04
-    steps:
-    - name: Cancel duplicate workflow runs
-      uses: potiuk/cancel-workflow-runs@a81b3c4d59c61e27484cfacdc13897dd908419c9
-      with:
-        cancelMode: duplicates
-        token: ${{ secrets.GITHUB_TOKEN }}
-        sourceRunId: ${{ github.event.workflow_run.id }}

.github/workflows/clang_format.yml

@@ -8,37 +8,46 @@ jobs:
     runs-on: ubuntu-18.04
     steps:
       - name: Setup Python
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v1
         with:
           python-version: 3.x
           architecture: x64
       - name: Fetch PyTorch
-        uses: actions/checkout@v2
-        with:
-          fetch-depth: 0 # deep clone, to allow us to use git merge-base
+        uses: actions/checkout@v1
+      - name: Checkout PR tip
+        run: |
+          set -eux
+          if [[ "${{ github.event_name }}" == "pull_request" ]]; then
+            # We are on a PR, so actions/checkout leaves us on a merge commit.
+            # Check out the actual tip of the branch.
+            git checkout ${{ github.event.pull_request.head.sha }}
+          fi
+          echo ::set-output name=commit_sha::$(git rev-parse HEAD)
+        id: get_pr_tip
       - name: Run clang-format
-        env:
-          BASE_SHA: ${{ github.event.pull_request.base.sha }}
         run: |
           set -eu
           # This is necessary to get the same results regardless of whether the
           # PR was opened directly or from a forked repo. See: `9f890a92` for more info.
           git remote add upstream https://github.com/pytorch/pytorch
           git fetch upstream "$GITHUB_BASE_REF"
+          BASE_SHA=${{ github.event.pull_request.base.sha }}
+          HEAD_SHA=${{ github.event.pull_request.head.sha }}
+          MERGE_BASE=$(git merge-base $BASE_SHA $HEAD_SHA)
 
           # only run clang-format on allowlisted files
           echo "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~"
           echo "| clang-format failures found! Run: "
-          echo "|    tools/clang_format_ci.sh ${BASE_SHA} "
+          echo "|    tools/clang_format_ci.sh ${MERGE_BASE} "
           echo "| to fix this error. "
           echo "| For more info, see: https://github.com/pytorch/pytorch/wiki/clang-format "
           echo "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~"
 
-          tools/clang_format_ci.sh "${BASE_SHA}"
+          tools/clang_format_ci.sh ${MERGE_BASE}
 
           GIT_DIFF=$(git diff)
           if [[ -z $GIT_DIFF ]]; then
             exit 0
           fi
-          echo "$GIT_DIFF"
+          echo $GIT_DIFF
           exit 1

.github/workflows/lint.yml

@@ -11,234 +11,116 @@ jobs:
     runs-on: ubuntu-18.04
     steps:
       - name: Setup Python
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v1
         with:
           python-version: 3.x
           architecture: x64
       - name: Checkout PyTorch
-        uses: actions/checkout@v2
-      - name: Install requirements
-        id: requirements
-        run: pip install -r requirements.txt
+        uses: actions/checkout@v1
+      - name: Checkout PR tip
+        run: |
+          set -eux
+          if [[ "${{ github.event_name }}" == "pull_request" ]]; then
+            # We are on a PR, so actions/checkout leaves us on a merge commit.
+            # Check out the actual tip of the branch.
+            git checkout ${{ github.event.pull_request.head.sha }}
+          fi
+          echo ::set-output name=commit_sha::$(git rev-parse HEAD)
+        id: get_pr_tip
       - name: Ensure consistent CircleCI YAML config
-        if: always() && steps.requirements.outcome == 'success'
-        run: cd .circleci && ./ensure-consistency.py
-      - name: Ensure consistent GHA workflows in cancel_redundant_workflows.yml
-        if: always() && steps.requirements.outcome == 'success'
         run: |
-          pip install ruamel.yaml==0.17.4
-          echo "Please locally run .github/scripts/regenerate_cancel_redundant_workflow.py and commit if this step fails."
-          .github/scripts/regenerate_cancel_redundant_workflow.py
-          git diff --exit-code .github/workflows/cancel_redundant_workflows.yml
-      - name: Lint native_functions.yaml
-        if: always() && steps.requirements.outcome == 'success'
+          pip install -r requirements.txt
+          cd .circleci && ./ensure-consistency.py
+      - name: Shellcheck Jenkins scripts
+        # https://github.com/koalaman/shellcheck#installing-a-pre-compiled-binary
         run: |
-          pip install ruamel.yaml==0.17.4
-          .github/scripts/lint_native_functions.py
-      - name: Extract scripts from GitHub Actions workflows
-        if: always() && steps.requirements.outcome == 'success'
-        run: |
-          # For local lints, remove the .extracted_scripts folder if it was already there
-          rm -rf .extracted_scripts
-          tools/extract_scripts.py --out=.extracted_scripts
-      - name: Install ShellCheck
-        id: install_shellcheck
-        if: always()
-        # https://github.com/koalaman/shellcheck/tree/v0.7.2#installing-a-pre-compiled-binary
-        run: |
-          set -x
-          scversion="v0.7.2"
+          scversion="stable"
           wget -qO- "https://github.com/koalaman/shellcheck/releases/download/${scversion?}/shellcheck-${scversion?}.linux.x86_64.tar.xz" | tar -xJv
           sudo cp "shellcheck-${scversion}/shellcheck" /usr/bin/
           rm -r "shellcheck-${scversion}"
           shellcheck --version
-      - name: Run ShellCheck
-        if: always() && steps.install_shellcheck.outcome == 'success'
-        run: |
-          tools/run_shellcheck.sh .jenkins/pytorch .extracted_scripts
-      - name: Ensure correct trailing newlines
-        if: always() && steps.requirements.outcome == 'success'
-        run: |
-          (! git --no-pager grep -Il '' -- . ':(exclude)**/contrib/**' ':(exclude)third_party' ':(exclude)**.expect' ':(exclude)tools/clang_format_hash' | tools/trailing_newlines.py || (echo "The above files do not have correct trailing newlines; please normalize them"; false))
-      - name: Ensure no trailing spaces
-        if: always()
-        run: |
-          (! git --no-pager grep -In '[[:blank:]]$' -- . ':(exclude)**/contrib/**' ':(exclude)third_party' || (echo "The above lines have trailing spaces; please remove them"; false))
+          .jenkins/run-shellcheck.sh
       - name: Ensure no tabs
-        if: always()
         run: |
-          (! git --no-pager grep -In $'\t' -- . ':(exclude)*.svg' ':(exclude)**Makefile' ':(exclude)**/contrib/**' ':(exclude)third_party' ':(exclude).gitattributes' ':(exclude).gitmodules' || (echo "The above lines have tabs; please convert them to spaces"; false))
-      - name: Ensure no non-breaking spaces
-        if: always()
-        run: |
-          # NB: We use 'printf' below rather than '\u000a' since bash pre-4.2
-          # does not support the '\u000a' syntax (which is relevant for local linters)
-          (! git --no-pager grep -In "$(printf '\xC2\xA0')" -- . || (echo "The above lines have non-breaking spaces (U+00A0); please convert them to spaces (U+0020)"; false))
+          (! git grep -I -l $'\t' -- . ':(exclude)*.svg' ':(exclude)**Makefile' ':(exclude)**/contrib/**' ':(exclude)third_party' ':(exclude).gitattributes' ':(exclude).gitmodules' || (echo "The above files have tabs; please convert them to spaces"; false))
       - name: Ensure canonical include
-        if: always()
         run: |
-          (! git --no-pager grep -In $'#include "' -- ./c10 ./aten ./torch/csrc ':(exclude)aten/src/ATen/native/quantized/cpu/qnnpack/**' || (echo "The above lines have include with quotes; please convert them to #include <xxxx>"; false))
-      - name: Ensure no versionless Python shebangs
-        if: always()
-        run: |
-          (! git --no-pager grep -In '#!.*python$' -- . || (echo "The above lines have versionless Python shebangs; please specify either python2 or python3"; false))
-      - name: Ensure no unqualified noqa
-        if: always()
-        run: |
-          # shellcheck disable=SC2016
-          (! git --no-pager grep -InP '# noqa(?!: [A-Z]+\d{3})' -- '**.py' '**.pyi' ':(exclude)caffe2' || (echo 'The above lines have unqualified `noqa`; please convert them to `noqa: XXXX`'; false))
-      - name: Ensure no unqualified type ignore
-        if: always()
-        run: |
-          # shellcheck disable=SC2016
-          (! git --no-pager grep -InP '# type:\s*ignore(?!\[)' -- '**.py' '**.pyi' ':(exclude)test/test_jit.py' || (echo 'The above lines have unqualified `type: ignore`; please convert them to `type: ignore[xxxx]`'; false))
-      # note that this next step depends on a clean checkout;
+          (! git grep -I -l $'#include "' -- ./c10 ./aten ./torch/csrc ':(exclude)aten/src/ATen/native/quantized/cpu/qnnpack/**' || (echo "The above files have include with quotes; please convert them to #include <xxxx>"; false))
+      # note that this next step depends on a clean heckout;
       # if you run it locally then it will likely to complain
       # about all the generated files in torch/test
       - name: Ensure C++ source files are not executable
-        if: always()
         run: |
-          # shellcheck disable=SC2016
           (! find . \( -path ./third_party -o -path ./.git -o -path ./torch/bin -o -path ./build \) -prune -o -type f -executable -regextype posix-egrep -not -regex '.+(\.(bash|sh|py|so)|git-pre-commit|git-clang-format|gradlew)$' -print | grep . || (echo 'The above files have executable permission; please remove their executable permission by using `chmod -x`'; false))
       - name: C++ docs check
-        if: always() && steps.requirements.outcome == 'success'
         run: |
-          sudo apt-get install -y doxygen
+          sudo apt-get install -y doxygen && pip install -r requirements.txt
           cd docs/cpp/source && ./check-doxygen.sh
       - name: CUDA kernel launch check
-        if: always() && steps.requirements.outcome == 'success'
         run: |
           set -eux
-          python torch/testing/check_kernel_launches.py |& tee "${GITHUB_WORKSPACE}"/cuda_kernel_launch_checks.txt
-      - name: Ensure no direct cub include
-        if: always()
-        run: |
-          (! git --no-pager grep -I -no $'#include <cub/' --  ./aten  ':(exclude)aten/src/ATen/cuda/cub.cuh' || (echo "The above files have direct cub include; please include ATen/cuda/cub.cuh instead and wrap your cub calls in at::native namespace if necessary"; false))
-
-  py2-setup-validate-errormsg:
-    runs-on: ubuntu-18.04
-    steps:
-      - name: Setup Python
-        uses: actions/setup-python@v2
-        with:
-          python-version: 2.x
-          architecture: x64
-      - name: Checkout PyTorch
-        uses: actions/checkout@v2
-      - name: Attempt to run setup.py
-        run: |
-          python2 setup.py | grep "Python 2 has reached end-of-life and is no longer supported by PyTorch."
-
-  templates:
-    runs-on: ubuntu-18.04
-    steps:
-      - name: Setup Python
-        uses: actions/setup-python@v2
-        with:
-          python-version: 3.x
-          architecture: x64
-      - name: Install Jinja2
-        run: pip install Jinja2
-      - name: Checkout PyTorch
-        uses: actions/checkout@v2
-      - name: Regenerate workflows
-        run: .github/scripts/generate_linux_ci_workflows.py
-      - name: Assert that regenerating the workflows didn't change them
-        run: .github/scripts/report_git_status.sh
-
-  toc:
-    runs-on: ubuntu-18.04
-    # https://github.com/actions/virtual-environments/issues/599#issuecomment-602754687
-    env:
-      NPM_CONFIG_PREFIX: ~/.npm-global
-    steps:
-      - name: Setup Node
-        uses: actions/setup-node@v2
-      - name: Checkout PyTorch
-        uses: actions/checkout@v2
-      - name: Install markdown-toc
-        run: npm install -g markdown-toc
-      - name: Regenerate ToCs and check that they didn't change
-        run: |
-          set -eux
-          export PATH=~/.npm-global/bin:"$PATH"
-          for FILE in $(git grep -Il '<!-- toc -->' -- '**.md'); do
-            markdown-toc --bullets='-' -i "$FILE"
-          done
-
-          .github/scripts/report_git_status.sh
+          python torch/testing/check_kernel_launches.py |& tee ${GITHUB_WORKSPACE}/cuda_kernel_launch_checks.txt
 
   flake8-py3:
     runs-on: ubuntu-18.04
     steps:
       - name: Setup Python
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v1
         with:
           python-version: 3.x
           architecture: x64
       - name: Fetch PyTorch
-        uses: actions/checkout@v2
-        with:
-          fetch-depth: 2 # to allow us to use github.event.pull_request.head.sha
-      - name: Prepare output dir with HEAD commit SHA
-        env:
-          HEAD_SHA: ${{ github.event.pull_request.head.sha }}
-        run: |
-          mkdir flake8-output
-          cd flake8-output
-          echo "$HEAD_SHA" > commit-sha.txt
-      - name: Install dependencies
+        uses: actions/checkout@v1
+      - name: Checkout PR tip
         run: |
           set -eux
-          pip install typing-extensions # for tools/translate_annotations.py
-          pip install -r requirements-flake8.txt
-          flake8 --version
+          if [[ "${{ github.event_name }}" == "pull_request" ]]; then
+            # We are on a PR, so actions/checkout leaves us on a merge commit.
+            # Check out the actual tip of the branch.
+            git checkout ${{ github.event.pull_request.head.sha }}
+          fi
+          echo ::set-output name=commit_sha::$(git rev-parse HEAD)
+        id: get_pr_tip
       - name: Run flake8
         run: |
           set -eux
-          flake8 | tee "${GITHUB_WORKSPACE}"/flake8-output.txt
-      - name: Translate annotations
-        if: github.event_name == 'pull_request'
-        env:
-          HEAD_SHA: ${{ github.event.pull_request.head.sha }}
-        run: |
-          tools/translate_annotations.py \
-            --file="${GITHUB_WORKSPACE}"/flake8-output.txt \
-            --regex='^(?P<filename>.*?):(?P<lineNumber>\d+):(?P<columnNumber>\d+): (?P<errorCode>\w+\d+) (?P<errorDesc>.*)' \
-            --commit="$HEAD_SHA" \
-            > flake8-output/annotations.json
-      - name: Upload artifact
-        uses: actions/upload-artifact@v2
+          pip install -r requirements-flake8.txt
+          flake8 --version
+          flake8 | tee ${GITHUB_WORKSPACE}/flake8-output.txt
+      - name: Add annotations
+        uses: pytorch/add-annotations-github-action@master
         with:
-          name: flake8-py3
-          path: flake8-output/
-      - name: Fail if there were any warnings
+          check_name: 'flake8-py3'
+          linter_output_path: 'flake8-output.txt'
+          commit_sha: ${{ steps.get_pr_tip.outputs.commit_sha }}
+          regex: '^(?<filename>.*?):(?<lineNumber>\d+):(?<columnNumber>\d+): (?<errorCode>\w+\d+) (?<errorDesc>.*)'
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+      - name: Catch any other warnings
         run: |
-          set -eux
-          # Re-output flake8 status so GitHub logs show it on the step that actually failed
-          cat "${GITHUB_WORKSPACE}"/flake8-output.txt
-          [ ! -s "${GITHUB_WORKSPACE}"/flake8-output.txt ]
+          [ ! -s flake8-output.txt ]
 
   clang-tidy:
     if: github.event_name == 'pull_request'
     runs-on: ubuntu-18.04
     steps:
       - name: Setup Python
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v1
         with:
           python-version: 3.x
           architecture: x64
       - name: Checkout PyTorch
-        uses: actions/checkout@v2
-        with:
-          fetch-depth: 0 # to allow tools/clang_tidy.py to do its thing
-      - name: Prepare output dir with HEAD commit SHA
-        env:
-          HEAD_SHA: ${{ github.event.pull_request.head.sha }}
+        uses: actions/checkout@v1
+      - name: Checkout PR tip
         run: |
-          mkdir clang-tidy-output
-          cd clang-tidy-output
-          echo "$HEAD_SHA" > commit-sha.txt
+          set -eux
+          if [[ "${{ github.event_name }}" == "pull_request" ]]; then
+            # We are on a PR, so actions/checkout leaves us on a merge commit.
+            # Check out the actual tip of the branch.
+            git checkout ${{ github.event.pull_request.head.sha }}
+          fi
+          echo ::set-output name=commit_sha::$(git rev-parse HEAD)
+        id: get_pr_tip
       - name: Install dependencies
         run: |
           set -eux
@@ -256,17 +138,19 @@ jobs:
           sudo apt-get update
           sudo apt-get install -y clang-tidy-11
           sudo update-alternatives --install /usr/bin/clang-tidy clang-tidy /usr/bin/clang-tidy-11 1000
-      - name: Generate build files
+      - name: Run clang-tidy
         run: |
           set -eux
           git remote add upstream https://github.com/pytorch/pytorch
           git fetch upstream "$GITHUB_BASE_REF"
+          BASE_SHA=${{ github.event.pull_request.base.sha }}
+          HEAD_SHA=${{ github.event.pull_request.head.sha }}
+          MERGE_BASE=$(git merge-base $BASE_SHA $HEAD_SHA)
 
           if [[ ! -d build ]]; then
             git submodule update --init --recursive
 
             export USE_NCCL=0
-            export USE_DEPLOY=1
             # We really only need compile_commands.json, so no need to build!
             time python setup.py --cmake-only build
 
@@ -281,12 +165,6 @@ jobs:
               --native-functions-path aten/src/ATen/native/native_functions.yaml \
               --nn-path aten/src
           fi
-      - name: Run clang-tidy
-        env:
-          BASE_SHA: ${{ github.event.pull_request.base.sha }}
-          HEAD_SHA: ${{ github.event.pull_request.head.sha }}
-        run: |
-          set -eux
 
           # Run Clang-Tidy
           # The negative filters below are to exclude files that include onnx_pb.h or
@@ -299,7 +177,7 @@ jobs:
           python tools/clang_tidy.py                               \
             --verbose                                              \
             --paths torch/csrc/                                    \
-            --diff "$BASE_SHA"                                   \
+            --diff "$MERGE_BASE"                                   \
             -g"-torch/csrc/jit/passes/onnx/helper.cpp"             \
             -g"-torch/csrc/jit/passes/onnx/shape_type_inference.cpp"\
             -g"-torch/csrc/jit/serialization/onnx.cpp"             \
@@ -316,67 +194,44 @@ jobs:
             -g"-torch/csrc/deploy/interpreter/interpreter.h"  \
             -g"-torch/csrc/deploy/interpreter/interpreter_impl.h"  \
             -g"-torch/csrc/deploy/interpreter/test_main.cpp"  \
-            "$@" > "${GITHUB_WORKSPACE}"/clang-tidy-output.txt
+            "$@" > ${GITHUB_WORKSPACE}/clang-tidy-output.txt
 
-          cat "${GITHUB_WORKSPACE}"/clang-tidy-output.txt
-
-          tools/translate_annotations.py \
-            --file=clang-tidy-output.txt \
-            --regex='^(?P<filename>.*?):(?P<lineNumber>\d+):(?P<columnNumber>\d+): (?P<errorDesc>.*?) \[(?P<errorCode>.*)\]' \
-            --commit="$HEAD_SHA" \
-            > clang-tidy-output/annotations.json
-      - name: Upload artifact
-        uses: actions/upload-artifact@v2
+          cat ${GITHUB_WORKSPACE}/clang-tidy-output.txt
+      - name: Add annotations
+        uses: suo/add-annotations-github-action@master
         with:
-          name: clang-tidy
-          path: clang-tidy-output/
+          check_name: 'clang-tidy'
+          linter_output_path: 'clang-tidy-output.txt'
+          commit_sha: ${{ steps.get_pr_tip.outputs.commit_sha }}
+          regex: '^(?<filename>.*?):(?<lineNumber>\d+):(?<columnNumber>\d+): (?<errorDesc>.*?) \[(?<errorCode>.*)\]'
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
 
   cmakelint:
     runs-on: ubuntu-18.04
     steps:
       - name: Setup Python
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v1
         with:
           python-version: 3.x
           architecture: x64
       - name: Fetch PyTorch
-        uses: actions/checkout@v2
-      - name: Install dependencies
+        uses: actions/checkout@v1
+      - name: Checkout PR tip
+        run: |
+          set -eux
+          if [[ "${{ github.event_name }}" == "pull_request" ]]; then
+            # We are on a PR, so actions/checkout leaves us on a merge commit.
+            # Check out the actual tip of the branch.
+            git checkout ${{ github.event.pull_request.head.sha }}
+          fi
+          echo ::set-output name=commit_sha::$(git rev-parse HEAD)
+        id: get_pr_tip
+      - name: Run cmakelint
         run: |
           set -eux
           pip install cmakelint
           cmakelint --version
-      - name: Run cmakelint
-        run: |
-          set -eux
           git ls-files -z -- bootstrap '*.cmake' '*.cmake.in' '*CMakeLists.txt' | \
-          grep -E -z -v '^(cmake/Modules/|cmake/Modules_CUDA_fix/|cmake/Caffe2Config.cmake.in|aten/src/ATen/ATenConfig.cmake.in|cmake/Caffe2ConfigVersion.cmake.in|cmake/TorchConfig.cmake.in|cmake/TorchConfigVersion.cmake.in|cmake/cmake_uninstall.cmake.in)' | \
+          grep -E -z -v '^(cmake/Modules/|cmake/Modules_CUDA_fix/)' | \
           xargs -0 cmakelint --config=.cmakelintrc --spaces=2 --quiet
-
-  mypy:
-    runs-on: ubuntu-18.04
-    steps:
-      - name: Setup Python
-        uses: actions/setup-python@v2
-        with:
-          python-version: 3.8
-          architecture: x64
-      - name: Fetch PyTorch
-        uses: actions/checkout@v2
-      - name: Install dependencies
-        run: |
-          set -eux
-          pip install -r requirements.txt
-          pip install mypy==0.812
-          # Needed to check tools/render_junit.py
-          pip install junitparser rich
-      - name: Run autogen
-        run: |
-          set -eux
-          time python -mtools.generate_torch_version --is_debug=false
-          time python -mtools.codegen.gen -s aten/src/ATen -d build/aten/src/ATen
-          time python -mtools.pyi.gen_pyi --native-functions-path aten/src/ATen/native/native_functions.yaml --deprecated-functions-path "tools/autograd/deprecated.yaml"
-      - name: Run mypy
-        run: |
-          set -eux
-          for CONFIG in mypy*.ini; do mypy --config="$CONFIG"; done

.github/workflows/push_nightly_docker_ghcr.yml

@@ -1,22 +0,0 @@
-name: Build PyTorch nightly Docker image and push to GitHub Container Registry
-on:
-  schedule:
-    # Push the nightly docker daily at 1 PM UTC
-    - cron: '0 13 * * *'
-  # Have the ability to trigger this job manually using the API as well
-  workflow_dispatch:
-
-jobs:
-  build-publish-docker:
-    if: ${{ github.repository_owner == 'pytorch' }}
-    runs-on: linux.2xlarge
-    env:
-      GHCR_PAT: ${{ secrets.GHCR_PAT }}
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v2
-        with:
-          ref: master
-      - name: Build and upload nightly docker
-        run: |
-          bash .github/scripts/build_publish_nightly_docker.sh

.github/workflows/pytorch-linux-xenial-cuda10.2-cudnn7-py3.6-gcc7.yml

@@ -1,288 +0,0 @@
-# @generated DO NOT EDIT MANUALLY
-# Template is at:    .github/templates/linux_ci_workflow.yml
-# Generation script: .github/scripts/generate_linux_ci_workflows.py
-name: Linux CI (pytorch-linux-xenial-cuda10.2-cudnn7-py3.6-gcc7)
-
-on:
-  # TODO: Enable pull_request builds when we can verify capacity can be met by auto-scalers
-  push:
-    branches:
-      - master
-      - release/*
-  workflow_dispatch:
-
-env:
-  BUILD_ENVIRONMENT: pytorch-linux-xenial-cuda10.2-cudnn7-py3.6-gcc7
-  DOCKER_IMAGE_BASE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-cuda10.2-cudnn7-py3-gcc7
-  SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
-  TORCH_CUDA_ARCH_LIST: 5.2
-  IN_CI: 1
-  # Used for custom_opertor, jit_hooks, custom_backend, see .jenkins/pytorch/build.sh
-  CUSTOM_TEST_ARTIFACT_BUILD_DIR: build/custom_test_artifacts
-  ALPINE_IMAGE: "308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine"
-
-jobs:
-  calculate-docker-image:
-    runs-on: linux.2xlarge
-    env:
-      DOCKER_BUILDKIT: 1
-    timeout-minutes: 90
-    outputs:
-      docker_image: ${{ steps.calculate-tag.outputs.docker_image }}
-    steps:
-      - name: Checkout PyTorch
-        uses: actions/checkout@v2
-        with:
-          # deep clone, to allow use of git merge-base
-          fetch-depth: 0
-      - name: Calculate docker image tag
-        id: calculate-tag
-        run: |
-          DOCKER_TAG=$(git rev-parse HEAD:.circleci/docker)
-          echo "::set-output name=docker_tag::${DOCKER_TAG}"
-          echo "::set-output name=docker_image::${DOCKER_IMAGE_BASE}:${DOCKER_TAG}"
-      - name: Check if image should be built
-        id: check
-        env:
-          DOCKER_TAG: ${{ steps.calculate-tag.outputs.docker_tag }}
-          BASE_REVISION: ${{ github.event.pull_request.base.sha || github.sha }}
-        run: |
-          eval "$(aws ecr get-login --no-include-email --region us-east-1)"
-          set -x
-          # Check if image already exists, if it does then skip building it
-          if docker manifest inspect "${DOCKER_IMAGE_BASE}:${DOCKER_TAG}"; then
-            exit 0
-          fi
-          if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
-            # if we're on the base branch then use the parent commit
-            MERGE_BASE=$(git rev-parse HEAD~)
-          else
-            # otherwise we're on a PR, so use the most recent base commit
-            MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
-          fi
-          # Covers the case where a previous tag doesn't exist for the tree
-          # this is only really applicable on trees that don't have `.circleci/docker` at its merge base, i.e. nightly
-          if ! git rev-parse "$MERGE_BASE:.circleci/docker"; then
-            echo "Directory '.circleci/docker' not found in commit $MERGE_BASE, you should probably rebase onto a more recent commit"
-            exit 1
-          fi
-          PREVIOUS_DOCKER_TAG=$(git rev-parse "$MERGE_BASE:.circleci/docker")
-          # If no image exists but the hash is the same as the previous hash then we should error out here
-          if [[ "${PREVIOUS_DOCKER_TAG}" = "${DOCKER_TAG}" ]]; then
-            echo "ERROR: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
-            echo "       contact the PyTorch team to restore the original images"
-            exit 1
-          fi
-          echo ::set-output name=rebuild::yes
-      - name: Build and push docker image
-        if: steps.check.outputs.rebuild
-        env:
-          DOCKER_TAG: ${{ steps.calculate-tag.outputs.docker_tag }}
-          DOCKER_SKIP_S3_UPLOAD: 1
-        run: |
-          export IMAGE_NAME=${DOCKER_IMAGE_BASE#308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/}
-          cd .circleci/docker && ./build_docker.sh
-  build:
-    runs-on: linux.2xlarge
-    needs: calculate-docker-image
-    env:
-      DOCKER_IMAGE: ${{ needs.calculate-docker-image.outputs.docker_image }}
-    steps:
-      - name: Log in to ECR
-        run: |
-          aws ecr get-login --no-include-email --region us-east-1 > /tmp/ecr-login.sh
-          bash /tmp/ecr-login.sh
-          rm /tmp/ecr-login.sh
-      - name: Chown workspace
-        run: |
-          # Ensure the working directory gets chowned back to the current user
-          docker run --rm -v "$(pwd)":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
-      - name: Checkout PyTorch
-        uses: actions/checkout@v2
-        with:
-          fetch-depth: 0 # deep clone, to allow sharding to use git rev-list
-          submodules: recursive
-      - name: Pull docker image
-        run: |
-          docker pull "${DOCKER_IMAGE}"
-      - name: Preserve github env variables for use in docker
-        run: |
-          env | grep '^GITHUB' > "/tmp/github_env_${GITHUB_RUN_ID}"
-      - name: Build PyTorch
-        run: |
-          docker run \
-            -e BUILD_ENVIRONMENT \
-            -e MAX_JOBS="$(nproc --ignore=2)" \
-            -e SCCACHE_BUCKET \
-            -e CUSTOM_TEST_ARTIFACT_BUILD_DIR \
-            -e SKIP_SCCACHE_INITIALIZATION=1 \
-            -e TORCH_CUDA_ARCH_LIST \
-            --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
-            --security-opt seccomp=unconfined \
-            --cap-add=SYS_PTRACE \
-            --tty \
-            --user jenkins \
-            -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
-            -w /var/lib/jenkins/workspace \
-            "${DOCKER_IMAGE}" \
-            sh -c 'sudo chown -R jenkins . && .jenkins/pytorch/build.sh'
-      - name: Chown workspace
-        run: |
-          # Ensure the working directory gets chowned back to the current user
-          docker run --rm -v "$(pwd)":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
-      - name: Archive artifacts into zip
-        run: |
-          zip -r artifacts.zip dist/ build/
-      - uses: actions/upload-artifact@v2
-        name: Store PyTorch Build Artifacts
-        with:
-          name: ${{ env.BUILD_ENVIRONMENT }}
-          retention-days: 30
-          if-no-files-found: error
-          path:
-            artifacts.zip
-      - name: Clean up docker images
-        if: always()
-        run: |
-          # Prune all of the docker images
-          docker system prune -af
-  test:
-    runs-on: linux.8xlarge.nvidia.gpu
-    needs:
-      - calculate-docker-image
-      - build
-    env:
-      DOCKER_IMAGE: ${{ needs.calculate-docker-image.outputs.docker_image }}
-    steps:
-      - name: Log in to ECR
-        run: |
-          aws ecr get-login --no-include-email --region us-east-1 > /tmp/ecr-login.sh
-          bash /tmp/ecr-login.sh
-          rm /tmp/ecr-login.sh
-      - name: Chown workspace
-        run: |
-          # Ensure the working directory gets chowned back to the current user
-          docker run --rm -v "$(pwd)/../":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
-      - name: Checkout PyTorch
-        uses: actions/checkout@v2
-      - name: Pull docker image
-        run: |
-          docker pull "${DOCKER_IMAGE}"
-      - name: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG
-        if: ${{ contains(env.BUILD_ENVIRONMENT, 'cuda') }}
-        run: |
-          bash .github/scripts/install_nvidia_utils_linux.sh
-          echo "GPU_FLAG=--gpus all" >> "${GITHUB_ENV}"
-      - name: Determine shm-size
-        run: |
-          shm_size="1g"
-          case "${BUILD_ENVIRONMENT}" in
-            *cuda*)
-              shm_size="2g"
-              ;;
-            *rocm*)
-              shm_size="8g"
-              ;;
-          esac
-          echo "SHM_SIZE=${shm_size}" >> "${GITHUB_ENV}"
-      - uses: actions/download-artifact@v2
-        name: Download PyTorch Build Artifacts
-        with:
-          name: ${{ env.BUILD_ENVIRONMENT }}
-      - name: Unzip artifacts
-        run: |
-          unzip -o artifacts.zip
-      - name: Output disk space left
-        run: |
-          sudo df -H
-      - name: Preserve github env variables for use in docker
-        run: |
-          env | grep '^GITHUB' > "/tmp/github_env_${GITHUB_RUN_ID}"
-      - name: Test PyTorch
-        run: |
-          # TODO: Stop building test binaries as part of the build phase
-          # Used for GPU_FLAG since that doesn't play nice
-          # shellcheck disable=SC2086
-          docker run \
-            ${GPU_FLAG:-} \
-            -e BUILD_ENVIRONMENT \
-            -e CUSTOM_TEST_ARTIFACT_BUILD_DIR \
-            -e IN_CI \
-            -e MAX_JOBS="$(nproc --ignore=2)" \
-            --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
-            --security-opt seccomp=unconfined \
-            --cap-add=SYS_PTRACE \
-            --shm-size="${SHM_SIZE}" \
-            --tty \
-            --user jenkins \
-            -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
-            -w /var/lib/jenkins/workspace \
-            "${DOCKER_IMAGE}" \
-            sh -c 'sudo chown -R jenkins . && pip install dist/*.whl && .jenkins/pytorch/test.sh'
-      - name: Chown workspace
-        if: always()
-        run: |
-          # Ensure the working directory gets chowned back to the current user
-          docker run --rm -v "$(pwd)":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
-      - uses: actions/upload-artifact@v2
-        name: Store PyTorch Test Reports
-        if: always()
-        with:
-          name: test-reports
-          retention-days: 30
-          if-no-files-found: error
-          path:
-            test/**/*.xml
-      - name: Clean up docker images
-        if: always()
-        run: |
-          # Ensure the working directory gets chowned back to the current user
-          docker run --rm -v "$(pwd)":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
-          # Prune all of the docker images
-          docker system prune -af
-  render_test_results:
-    if: always()
-    needs:
-      - test
-    runs-on: ubuntu-18.04
-    steps:
-      - name: Checkout PyTorch
-        uses: actions/checkout@v2
-        with:
-          # deep clone, to allow tools/print_test_stats.py to use Git commands
-          fetch-depth: 0
-      - uses: actions/download-artifact@v2
-        name: Download PyTorch Test Reports
-        with:
-          name: test-reports
-          path: test/test-reports
-      - uses: actions/setup-python@v2
-        with:
-          python-version: 3.9
-      - name: Install dependencies
-        # boto3 version copied from .circleci/docker/common/install_conda.sh
-        run: |
-          pip install -r requirements.txt
-          pip install boto3==1.16.34 junitparser rich
-      - name: Output Test Results (Click Me)
-        run: |
-          python tools/render_junit.py test
-      - name: Parse ref
-        id: parse-ref
-        run: .github/scripts/parse_ref.py
-      - name: Display and upload test statistics (Click Me)
-        # temporary hack: set CIRCLE_* vars, until we update
-        # tools/print_test_stats.py to natively support GitHub Actions
-        env:
-          SCRIBE_GRAPHQL_ACCESS_TOKEN: ${{ secrets.SCRIBE_GRAPHQL_ACCESS_TOKEN }}
-          AWS_ACCESS_KEY_ID: ${{ secrets.AWS_OSSCI_METRICS_ACCESS_KEY_ID }}
-          AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_OSSCI_METRICS_SECRET_ACCESS_KEY }}
-          CIRCLE_BRANCH: ${{ steps.parse-ref.outputs.branch }}
-          CIRCLE_JOB: pytorch-linux-xenial-cuda10.2-cudnn7-py3.6-gcc7
-          CIRCLE_PR_NUMBER: ${{ github.event.pull_request.number }}
-          CIRCLE_SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
-          CIRCLE_TAG: ${{ steps.parse-ref.outputs.tag }}
-          CIRCLE_WORKFLOW_ID: ${{ github.run_id }} # dunno if this corresponds
-        run: |
-          export PYTHONPATH=$PWD
-          python tools/print_test_stats.py --upload-to-s3 --compare-with-s3 test

.github/workflows/pytorch-linux-xenial-py3.6-gcc5.4.yml

@@ -1,365 +0,0 @@
-# @generated DO NOT EDIT MANUALLY
-# Template is at:    .github/templates/linux_ci_workflow.yml
-# Generation script: .github/scripts/generate_linux_ci_workflows.py
-name: Linux CI (pytorch-linux-xenial-py3.6-gcc5.4)
-
-on:
-  # TODO: Enable pull_request builds when we can verify capacity can be met by auto-scalers
-  pull_request:
-  push:
-    branches:
-      - master
-      - release/*
-  workflow_dispatch:
-
-env:
-  BUILD_ENVIRONMENT: pytorch-linux-xenial-py3.6-gcc5.4
-  DOCKER_IMAGE_BASE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-py3.6-gcc5.4
-  SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
-  TORCH_CUDA_ARCH_LIST: 5.2
-  IN_CI: 1
-  # Used for custom_opertor, jit_hooks, custom_backend, see .jenkins/pytorch/build.sh
-  CUSTOM_TEST_ARTIFACT_BUILD_DIR: build/custom_test_artifacts
-  ALPINE_IMAGE: "308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine"
-
-jobs:
-  calculate-docker-image:
-    runs-on: linux.2xlarge
-    env:
-      DOCKER_BUILDKIT: 1
-    timeout-minutes: 90
-    outputs:
-      docker_image: ${{ steps.calculate-tag.outputs.docker_image }}
-    steps:
-      - name: Checkout PyTorch
-        uses: actions/checkout@v2
-        with:
-          # deep clone, to allow use of git merge-base
-          fetch-depth: 0
-      - name: Calculate docker image tag
-        id: calculate-tag
-        run: |
-          DOCKER_TAG=$(git rev-parse HEAD:.circleci/docker)
-          echo "::set-output name=docker_tag::${DOCKER_TAG}"
-          echo "::set-output name=docker_image::${DOCKER_IMAGE_BASE}:${DOCKER_TAG}"
-      - name: Check if image should be built
-        id: check
-        env:
-          DOCKER_TAG: ${{ steps.calculate-tag.outputs.docker_tag }}
-          BASE_REVISION: ${{ github.event.pull_request.base.sha || github.sha }}
-        run: |
-          eval "$(aws ecr get-login --no-include-email --region us-east-1)"
-          set -x
-          # Check if image already exists, if it does then skip building it
-          if docker manifest inspect "${DOCKER_IMAGE_BASE}:${DOCKER_TAG}"; then
-            exit 0
-          fi
-          if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
-            # if we're on the base branch then use the parent commit
-            MERGE_BASE=$(git rev-parse HEAD~)
-          else
-            # otherwise we're on a PR, so use the most recent base commit
-            MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
-          fi
-          # Covers the case where a previous tag doesn't exist for the tree
-          # this is only really applicable on trees that don't have `.circleci/docker` at its merge base, i.e. nightly
-          if ! git rev-parse "$MERGE_BASE:.circleci/docker"; then
-            echo "Directory '.circleci/docker' not found in commit $MERGE_BASE, you should probably rebase onto a more recent commit"
-            exit 1
-          fi
-          PREVIOUS_DOCKER_TAG=$(git rev-parse "$MERGE_BASE:.circleci/docker")
-          # If no image exists but the hash is the same as the previous hash then we should error out here
-          if [[ "${PREVIOUS_DOCKER_TAG}" = "${DOCKER_TAG}" ]]; then
-            echo "ERROR: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
-            echo "       contact the PyTorch team to restore the original images"
-            exit 1
-          fi
-          echo ::set-output name=rebuild::yes
-      - name: Build and push docker image
-        if: steps.check.outputs.rebuild
-        env:
-          DOCKER_TAG: ${{ steps.calculate-tag.outputs.docker_tag }}
-          DOCKER_SKIP_S3_UPLOAD: 1
-        run: |
-          export IMAGE_NAME=${DOCKER_IMAGE_BASE#308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/}
-          cd .circleci/docker && ./build_docker.sh
-  build:
-    runs-on: linux.2xlarge
-    needs: calculate-docker-image
-    env:
-      DOCKER_IMAGE: ${{ needs.calculate-docker-image.outputs.docker_image }}
-    steps:
-      - name: Log in to ECR
-        run: |
-          aws ecr get-login --no-include-email --region us-east-1 > /tmp/ecr-login.sh
-          bash /tmp/ecr-login.sh
-          rm /tmp/ecr-login.sh
-      - name: Chown workspace
-        run: |
-          # Ensure the working directory gets chowned back to the current user
-          docker run --rm -v "$(pwd)":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
-      - name: Checkout PyTorch
-        uses: actions/checkout@v2
-        with:
-          fetch-depth: 0 # deep clone, to allow sharding to use git rev-list
-          submodules: recursive
-      - name: Pull docker image
-        run: |
-          docker pull "${DOCKER_IMAGE}"
-      - name: Preserve github env variables for use in docker
-        run: |
-          env | grep '^GITHUB' > "/tmp/github_env_${GITHUB_RUN_ID}"
-      - name: Build PyTorch
-        run: |
-          docker run \
-            -e BUILD_ENVIRONMENT \
-            -e MAX_JOBS="$(nproc --ignore=2)" \
-            -e SCCACHE_BUCKET \
-            -e CUSTOM_TEST_ARTIFACT_BUILD_DIR \
-            -e SKIP_SCCACHE_INITIALIZATION=1 \
-            -e TORCH_CUDA_ARCH_LIST \
-            --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
-            --security-opt seccomp=unconfined \
-            --cap-add=SYS_PTRACE \
-            --tty \
-            --user jenkins \
-            -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
-            -w /var/lib/jenkins/workspace \
-            "${DOCKER_IMAGE}" \
-            sh -c 'sudo chown -R jenkins . && .jenkins/pytorch/build.sh'
-      - name: Chown workspace
-        run: |
-          # Ensure the working directory gets chowned back to the current user
-          docker run --rm -v "$(pwd)":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
-      - name: Archive artifacts into zip
-        run: |
-          zip -r artifacts.zip dist/ build/
-      - uses: actions/upload-artifact@v2
-        name: Store PyTorch Build Artifacts
-        with:
-          name: ${{ env.BUILD_ENVIRONMENT }}
-          retention-days: 30
-          if-no-files-found: error
-          path:
-            artifacts.zip
-      - name: Clean up docker images
-        if: always()
-        run: |
-          # Prune all of the docker images
-          docker system prune -af
-  test:
-    runs-on: linux.2xlarge
-    needs:
-      - calculate-docker-image
-      - build
-    env:
-      DOCKER_IMAGE: ${{ needs.calculate-docker-image.outputs.docker_image }}
-    steps:
-      - name: Log in to ECR
-        run: |
-          aws ecr get-login --no-include-email --region us-east-1 > /tmp/ecr-login.sh
-          bash /tmp/ecr-login.sh
-          rm /tmp/ecr-login.sh
-      - name: Chown workspace
-        run: |
-          # Ensure the working directory gets chowned back to the current user
-          docker run --rm -v "$(pwd)/../":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
-      - name: Checkout PyTorch
-        uses: actions/checkout@v2
-      - name: Pull docker image
-        run: |
-          docker pull "${DOCKER_IMAGE}"
-      - name: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG
-        if: ${{ contains(env.BUILD_ENVIRONMENT, 'cuda') }}
-        run: |
-          bash .github/scripts/install_nvidia_utils_linux.sh
-          echo "GPU_FLAG=--gpus all" >> "${GITHUB_ENV}"
-      - name: Determine shm-size
-        run: |
-          shm_size="1g"
-          case "${BUILD_ENVIRONMENT}" in
-            *cuda*)
-              shm_size="2g"
-              ;;
-            *rocm*)
-              shm_size="8g"
-              ;;
-          esac
-          echo "SHM_SIZE=${shm_size}" >> "${GITHUB_ENV}"
-      - uses: actions/download-artifact@v2
-        name: Download PyTorch Build Artifacts
-        with:
-          name: ${{ env.BUILD_ENVIRONMENT }}
-      - name: Unzip artifacts
-        run: |
-          unzip -o artifacts.zip
-      - name: Output disk space left
-        run: |
-          sudo df -H
-      - name: Preserve github env variables for use in docker
-        run: |
-          env | grep '^GITHUB' > "/tmp/github_env_${GITHUB_RUN_ID}"
-      - name: Test PyTorch
-        run: |
-          # TODO: Stop building test binaries as part of the build phase
-          # Used for GPU_FLAG since that doesn't play nice
-          # shellcheck disable=SC2086
-          docker run \
-            ${GPU_FLAG:-} \
-            -e BUILD_ENVIRONMENT \
-            -e CUSTOM_TEST_ARTIFACT_BUILD_DIR \
-            -e IN_CI \
-            -e MAX_JOBS="$(nproc --ignore=2)" \
-            --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
-            --security-opt seccomp=unconfined \
-            --cap-add=SYS_PTRACE \
-            --shm-size="${SHM_SIZE}" \
-            --tty \
-            --user jenkins \
-            -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
-            -w /var/lib/jenkins/workspace \
-            "${DOCKER_IMAGE}" \
-            sh -c 'sudo chown -R jenkins . && pip install dist/*.whl && .jenkins/pytorch/test.sh'
-      - name: Chown workspace
-        if: always()
-        run: |
-          # Ensure the working directory gets chowned back to the current user
-          docker run --rm -v "$(pwd)":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
-      - uses: actions/upload-artifact@v2
-        name: Store PyTorch Test Reports
-        if: always()
-        with:
-          name: test-reports
-          retention-days: 30
-          if-no-files-found: error
-          path:
-            test/**/*.xml
-      - name: Clean up docker images
-        if: always()
-        run: |
-          # Ensure the working directory gets chowned back to the current user
-          docker run --rm -v "$(pwd)":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
-          # Prune all of the docker images
-          docker system prune -af
-  render_test_results:
-    if: always()
-    needs:
-      - test
-    runs-on: ubuntu-18.04
-    steps:
-      - name: Checkout PyTorch
-        uses: actions/checkout@v2
-        with:
-          # deep clone, to allow tools/print_test_stats.py to use Git commands
-          fetch-depth: 0
-      - uses: actions/download-artifact@v2
-        name: Download PyTorch Test Reports
-        with:
-          name: test-reports
-          path: test/test-reports
-      - uses: actions/setup-python@v2
-        with:
-          python-version: 3.9
-      - name: Install dependencies
-        # boto3 version copied from .circleci/docker/common/install_conda.sh
-        run: |
-          pip install -r requirements.txt
-          pip install boto3==1.16.34 junitparser rich
-      - name: Output Test Results (Click Me)
-        run: |
-          python tools/render_junit.py test
-      - name: Parse ref
-        id: parse-ref
-        run: .github/scripts/parse_ref.py
-      - name: Display and upload test statistics (Click Me)
-        # temporary hack: set CIRCLE_* vars, until we update
-        # tools/print_test_stats.py to natively support GitHub Actions
-        env:
-          SCRIBE_GRAPHQL_ACCESS_TOKEN: ${{ secrets.SCRIBE_GRAPHQL_ACCESS_TOKEN }}
-          AWS_ACCESS_KEY_ID: ${{ secrets.AWS_OSSCI_METRICS_ACCESS_KEY_ID }}
-          AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_OSSCI_METRICS_SECRET_ACCESS_KEY }}
-          CIRCLE_BRANCH: ${{ steps.parse-ref.outputs.branch }}
-          CIRCLE_JOB: pytorch-linux-xenial-py3.6-gcc5.4
-          CIRCLE_PR_NUMBER: ${{ github.event.pull_request.number }}
-          CIRCLE_SHA1: ${{ github.event.pull_request.head.sha || github.sha }}
-          CIRCLE_TAG: ${{ steps.parse-ref.outputs.tag }}
-          CIRCLE_WORKFLOW_ID: ${{ github.run_id }} # dunno if this corresponds
-        run: |
-          export PYTHONPATH=$PWD
-          python tools/print_test_stats.py --upload-to-s3 --compare-with-s3 test
-  pytorch_python_doc_build:
-    runs-on: linux.2xlarge
-    needs:
-      - calculate-docker-image
-      - build
-    env:
-      DOCKER_IMAGE: ${{ needs.calculate-docker-image.outputs.docker_image }}
-    steps:
-      - name: Log in to ECR
-        run: |
-          aws ecr get-login --no-include-email --region us-east-1 > /tmp/ecr-login.sh
-          bash /tmp/ecr-login.sh
-          rm /tmp/ecr-login.sh
-      - name: Chown workspace
-        run: |
-          # Ensure the working directory gets chowned back to the current user
-          docker run --rm -v "$(pwd)":/v -w /v alpine chown -R "$(id -u):$(id -g)" .
-      - name: Checkout PyTorch
-        uses: actions/checkout@v2
-        with:
-          fetch-depth: 0 # deep clone, to allow sharding to use git rev-list
-          submodules: recursive
-      - name: Pull docker image
-        run: |
-          docker pull "${DOCKER_IMAGE}"
-      - name: Preserve github env variables for use in docker
-        run: |
-          env | grep '^GITHUB' > "/tmp/github_env_${GITHUB_RUN_ID}"
-      - uses: actions/download-artifact@v2
-        name: Download PyTorch Build Artifacts
-        with:
-          name: ${{ env.BUILD_ENVIRONMENT }}
-      - name: Unzip artifacts
-        run: |
-          unzip -o artifacts.zip
-      - name: Build Python Doc in Docker
-        run: |
-          set -ex
-          time docker pull "${DOCKER_IMAGE}" > /dev/null
-          echo "${GITHUB_REF}"
-          ref=${GITHUB_REF##*/}
-          target=${ref//v}
-          docker run \
-            -e BUILD_ENVIRONMENT \
-            -e CUSTOM_TEST_ARTIFACT_BUILD_DIR \
-            -e IN_CI \
-            -e MAX_JOBS="$(nproc --ignore=2)" \
-            -e CIRCLE_SHA1="$GITHUB_SHA" \
-            --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
-            --security-opt seccomp=unconfined \
-            --cap-add=SYS_PTRACE \
-            --name="$GITHUB_SHA" \
-            --tty \
-            --user jenkins \
-            -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
-            -w /var/lib/jenkins/workspace \
-            "${DOCKER_IMAGE}" \
-            bash -c "sudo chown -R jenkins . && pip install dist/*.whl && ./.circleci/scripts/python_doc_push_script.sh docs/$target $target site"
-      - name: Chown workspace
-        run: |
-          # Ensure the working directory gets chowned back to the current user
-          docker run --rm -v "$(pwd)":/v -w /v alpine chown -R "$(id -u):$(id -g)" .
-      - name: Archive artifacts into zip
-        run: |
-          zip -r pytorch_github_io.zip "${GITHUB_WORKSPACE}/pytorch.github.io"
-      - uses: actions/upload-artifact@v2
-        name: Store PyTorch Build Artifacts
-        with:
-          name: pytorch_github_io
-          if-no-files-found: error
-          path: pytorch_github_io.zip
-      - name: Clean up docker images
-        if: always()
-        run: |
-          # Prune all of the docker images
-          docker system prune -af

.github/workflows/run_torchbench.yml

@@ -1,66 +0,0 @@
-name: TorchBench CI (pytorch-linux-py3.7-cu102)
-on:
-  pull_request:
-
-env:
-  PR_NUM: ${{ github.event.number }}
-  PR_BODY: ${{ github.event.pull_request.body }}
-  PR_BASE_SHA: ${{ github.event.pull_request.base.sha }}
-  PR_HEAD_SHA: ${{ github.event.pull_request.head.sha }}
-
-jobs:
-  run-torchbench:
-    # We don't accept running on non-pytorch repos because of security concerns
-    # Only run the job when the body contains magic word "RUN_TORCHBENCH:"
-    if: ${{ github.repository_owner == 'pytorch' && contains(github.event.pull_request.body, 'RUN_TORCHBENCH:') }}
-    runs-on: [self-hosted, bm-runner]
-    # Set to 12 hours
-    timeout-minutes: 720
-    steps:
-      - name: Checkout PyTorch
-        uses: actions/checkout@v2
-        with:
-          path: pytorch
-      - name: Checkout TorchBench
-        uses: actions/checkout@v2
-        with:
-          repository: pytorch/benchmark
-          path: benchmark
-      - name: Create conda environment
-        run: |
-          conda create -y -n pr-ci python=3.7
-          # shellcheck disable=SC1091
-          . "${HOME}"/anaconda3/etc/profile.d/conda.sh
-          conda activate pr-ci
-          conda install -y numpy=1.17 requests=2.22 ninja pyyaml mkl mkl-include setuptools cmake cffi typing_extensions future six dataclasses pillow pytest tabulate
-      - name: Update self-hosted PyTorch
-        run: |
-          pushd "${HOME}"/pytorch
-          git fetch
-          popd
-      - name: Run TorchBench
-        run: |
-          pushd "${HOME}"/pytorch
-          PR_MERGE_BASE=$(git merge-base "$PR_BASE_SHA" "$PR_HEAD_SHA")
-          popd
-          PR_BODY_FILE=/tmp/pr-body.txt
-          echo "$PR_BODY" > ${PR_BODY_FILE}
-          # shellcheck disable=SC1091
-          . "${HOME}"/anaconda3/etc/profile.d/conda.sh
-          conda activate pr-ci
-          python3 pytorch/.github/scripts/run_torchbench.py \
-                  --pytorch-path "${HOME}"/pytorch \
-                  --torchbench-path "${PWD}"/benchmark \
-                  --pr-num "$PR_NUM" \
-                  --pr-base-sha "$PR_MERGE_BASE" \
-                  --pr-head-sha "$PR_HEAD_SHA" \
-                  --pr-body "$PR_BODY_FILE"
-      - name: Remove conda environment and cleanup
-        run: |
-          conda env remove --name pr-ci
-          rm /tmp/pr-body.txt
-      - name: Upload artifact
-        uses: actions/upload-artifact@v2
-        with:
-          name: TorchBench result
-          path: ~/.torchbench/bisection/pr${{ github.event.number }}