[fbsync] Cleanup circleci binary generation (#7591)

Summary: Co-authored-by: Philip Meier <[email protected]>

Reviewed By: vmoens

Differential Revision: D45903808

fbshipit-source-id: b36684cdfe19d3b4d0bbb365a3bc0dd55655c331

Author: NicolasHug

.circleci/config.yml

@@ -124,144 +124,6 @@ jobs:
             python .circleci/regenerate.py
             git diff --exit-code || (echo ".circleci/config.yml not in sync with config.yml.in! Run .circleci/regenerate.py to update config"; exit 1)
 
-  binary_win_conda:
-    <<: *binary_common
-    executor: windows-cpu
-    steps:
-      - checkout_merge
-      - designate_upload_channel
-      - run:
-          name: Build conda packages
-          no_output_timeout: 30m
-          command: |
-            set -ex
-            source packaging/windows/internal/vc_install_helper.sh
-            packaging/windows/internal/cuda_install.bat
-            eval "$('/C/tools/miniconda3/Scripts/conda.exe' 'shell.bash' 'hook')"
-            conda activate base
-            conda install -yq conda-build "conda-package-handling!=1.5.0"
-            packaging/build_conda.sh
-            rm /C/tools/miniconda3/conda-bld/win-64/vs${VC_YEAR}*.tar.bz2
-      - store_artifacts:
-          path: C:/tools/miniconda3/conda-bld/win-64
-      - persist_to_workspace:
-          root: C:/tools/miniconda3/conda-bld/win-64
-          paths:
-            - "*"
-      - store_test_results:
-          path: build_results/
-
-  binary_win_wheel:
-    <<: *binary_common
-    executor: windows-cpu
-    steps:
-      - checkout_merge
-      - designate_upload_channel
-      - run:
-          name: Build wheel packages
-          no_output_timeout: 30m
-          command: |
-            set -ex
-            source packaging/windows/internal/vc_install_helper.sh
-            packaging/windows/internal/cuda_install.bat
-            packaging/build_wheel.sh
-      - store_artifacts:
-          path: dist
-      - persist_to_workspace:
-          root: dist
-          paths:
-            - "*"
-      - store_test_results:
-          path: build_results/
-
-  binary_macos_wheel:
-    <<: *binary_common
-    macos:
-      xcode: "14.0"
-    steps:
-      - checkout_merge
-      - designate_upload_channel
-      - run:
-          # Cannot easily deduplicate this as source'ing activate
-          # will set environment variables which we need to propagate
-          # to build_wheel.sh
-          command: |
-            curl -o conda.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
-            sh conda.sh -b
-            source $HOME/miniconda3/bin/activate
-            packaging/build_wheel.sh
-      - store_artifacts:
-          path: dist
-      - persist_to_workspace:
-          root: dist
-          paths:
-            - "*"
-
-  binary_macos_conda:
-    <<: *binary_common
-    macos:
-      xcode: "14.0"
-    steps:
-      - checkout_merge
-      - designate_upload_channel
-      - run:
-          command: |
-            curl -o conda.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
-            sh conda.sh -b
-            source $HOME/miniconda3/bin/activate
-            conda install -yq conda-build
-            packaging/build_conda.sh
-      - store_artifacts:
-          path: /Users/distiller/miniconda3/conda-bld/osx-64
-      - persist_to_workspace:
-          root: /Users/distiller/miniconda3/conda-bld/osx-64
-          paths:
-            - "*"
-      - store_test_results:
-          path: build_results/
-
-  # Requires org-member context
-  binary_conda_upload:
-    docker:
-      - image: continuumio/miniconda
-    steps:
-      - attach_workspace:
-          at: ~/workspace
-      - designate_upload_channel
-      - run:
-          command: |
-            # Prevent credential from leaking
-            conda install -yq anaconda-client
-            set -x
-            anaconda  -t "${CONDA_PYTORCHBOT_TOKEN}" upload ~/workspace/*.tar.bz2 -u "pytorch-${UPLOAD_CHANNEL}" --label main --no-progress --force
-
-  # Requires org-member context
-  binary_wheel_upload:
-    parameters:
-      subfolder:
-        description: "What whl subfolder to upload to, e.g., blank or cu100/ (trailing slash is important)"
-        type: string
-    docker:
-      - image: cimg/python:3.8
-    steps:
-      - attach_workspace:
-          at: ~/workspace
-      - designate_upload_channel
-      - checkout
-      - pip_install:
-          args: awscli
-      - run:
-          command: |
-            export PATH="$HOME/.local/bin:$PATH"
-            # Prevent credential from leaking
-            set +x
-            export AWS_ACCESS_KEY_ID="${PYTORCH_BINARY_AWS_ACCESS_KEY_ID}"
-            export AWS_SECRET_ACCESS_KEY="${PYTORCH_BINARY_AWS_SECRET_ACCESS_KEY}"
-            set -x
-            for pkg in ~/workspace/*.whl; do
-              aws s3 cp "$pkg" "s3://pytorch/whl/${UPLOAD_CHANNEL}/<< parameters.subfolder >>" --acl public-read
-            done
-
   smoke_test_docker_image_build:
     machine:
       image: ubuntu-2004:202104-01
@@ -372,17 +234,10 @@ workflows:
     jobs:
       - circleci_consistency
 
-  build:
-    jobs:
-      {{ build_workflows(windows_latest_only=True) }}
-
   cmake:
     jobs:
       {{ cmake_workflows() }}
 
-  nightly:
-    jobs:
-      {{ build_workflows(prefix="nightly_", filter_branch="nightly", upload=True) }}
   docker_build:
     triggers:
       - schedule: