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config.yml
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version: 2.1
# How to test the Linux jobs:
# - Install CircleCI local CLI: https://circleci.com/docs/2.0/local-cli/
# - circleci config process .circleci/config.yml > gen.yml && circleci local execute -c gen.yml --job binary_linux_wheel_py3.8
# - Replace binary_linux_wheel_py3.8 with the name of the job you want to test.
# Job names are 'name:' key.
executors:
windows-cpu:
machine:
resource_class: windows.xlarge
image: windows-server-2019-vs2019:stable
shell: bash.exe
windows-gpu:
machine:
resource_class: windows.gpu.nvidia.medium
image: windows-server-2019-nvidia:previous
shell: bash.exe
commands:
generate_cache_key:
description: "Generates a cache key file that changes daily"
steps:
- run:
name: Generate cache key
command: echo "$(date +"%Y-%m-%d")" > .cachekey
designate_upload_channel:
description: "inserts the correct upload channel into ${BASH_ENV}"
steps:
- run:
name: adding UPLOAD_CHANNEL to BASH_ENV
command: |
our_upload_channel=nightly
# On tags upload to test instead
if [[ -n "${CIRCLE_TAG}" ]] || [[ ${CIRCLE_BRANCH} =~ release/* ]]; then
our_upload_channel=test
fi
echo "export UPLOAD_CHANNEL=${our_upload_channel}" >> ${BASH_ENV}
install_build_tools_macos:
description: "installs tools required to build torchaudio"
steps:
- run:
name: Install build tools
command: HOMEBREW_NO_AUTO_UPDATE=1 brew install pkg-config wget
# Disable brew auto update which is very slow
load_conda_channel_flags:
description: "Determines whether we need extra conda channels"
steps:
- run:
name: Adding CONDA_CHANNEL_FLAGS to BASH_ENV
command: |
CONDA_CHANNEL_FLAGS=""
# formerly used to add conda-forge flags for Python 3.9, reserving the mechanism for future python upgrades
binary_common: &binary_common
parameters:
# Edit these defaults to do a release
build_version:
description: "version number of release binary; by default, build a nightly"
type: string
default: ""
pytorch_version:
description: "PyTorch version to build against; by default, use a nightly"
type: string
default: ""
# Don't edit these
python_version:
description: "Python version to build against (e.g., 3.8)"
type: string
cuda_version:
description: "CUDA version to build against (e.g., cpu, cu101)"
type: string
default: "cpu"
wheel_docker_image:
description: "Wheel only: what docker image to use"
type: string
default: "pytorch/manylinux-cuda102"
conda_docker_image:
description: "Conda only: what docker image to use"
type: string
default: "pytorch/conda-builder:cuda102"
environment: &environment
PYTHON_VERSION: << parameters.python_version >>
BUILD_VERSION: << parameters.build_version >>
PYTORCH_VERSION: << parameters.pytorch_version >>
CU_VERSION: << parameters.cuda_version >>
smoke_test_common: &smoke_test_common
<<: *binary_common
docker:
- image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/torchaudio/smoke_test:56c846a5-acaa-41a7-92f5-46ec66186c61
aws_auth:
aws_access_key_id: ${ECR_AWS_ACCESS_KEY}
aws_secret_access_key: ${ECR_AWS_SECRET_ACCESS_KEY}
jobs:
circleci_consistency:
docker:
- image: circleci/python:3.8
steps:
- checkout
- run:
command: |
pip install --user --progress-bar off jinja2 pyyaml
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)
download_third_parties_nix:
docker:
- image: "pytorch/torchaudio_unittest_base:manylinux"
resource_class: small
steps:
- checkout
- generate_cache_key
- restore_cache:
keys:
- tp-nix-v2-{{ checksum ".cachekey" }}
- run:
command: |
mkdir -p third_party/sox/archives/
wget --no-clobber --directory-prefix=third_party/sox/archives/ $(awk '/URL /{print $2}' third_party/sox/CMakeLists.txt)
- save_cache:
key: tp-nix-v2-{{ checksum ".cachekey" }}
paths:
- third_party/sox/archives
- persist_to_workspace:
root: third_party
paths:
- sox/archives
binary_linux_wheel:
<<: *binary_common
docker:
- image: << parameters.wheel_docker_image >>
resource_class: 2xlarge+
steps:
- checkout
- attach_workspace:
at: third_party
- run: packaging/build_wheel.sh
- store_artifacts:
path: dist
- persist_to_workspace:
root: dist
paths:
- "*"
binary_linux_conda:
<<: *binary_common
docker:
- image: "<< parameters.conda_docker_image >>"
resource_class: 2xlarge+
steps:
- checkout
- load_conda_channel_flags
- attach_workspace:
at: third_party
- run: packaging/build_conda.sh
- store_artifacts:
path: /opt/conda/conda-bld/linux-64
- persist_to_workspace:
root: /opt/conda
paths:
- "conda-bld/*"
binary_macos_wheel:
<<: *binary_common
macos:
xcode: "12.0"
steps:
- checkout
- install_build_tools_macos
- load_conda_channel_flags
- attach_workspace:
at: third_party
- 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: "12.0"
steps:
- checkout
- install_build_tools_macos
- load_conda_channel_flags
- attach_workspace:
at: third_party
- run:
command: |
curl -o conda.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
sh conda.sh -b
source $HOME/miniconda3/bin/activate
conda install -yq conda-build
packaging/build_conda.sh
- store_artifacts:
path: /Users/distiller/miniconda3/conda-bld/osx-64
- persist_to_workspace:
root: /Users/distiller/miniconda3
paths:
- "conda-bld/*"
binary_windows_wheel:
<<: *binary_common
executor:
name: windows-cpu
steps:
- checkout
- load_conda_channel_flags
- run:
name: build
command: |
eval "$('/C/tools/miniconda3/Scripts/conda.exe' 'shell.bash' 'hook')"
conda activate base
bash packaging/build_wheel.sh
- store_artifacts:
path: dist
- persist_to_workspace:
root: dist
paths:
- "*"
binary_windows_conda:
<<: *binary_common
executor:
name: windows-cpu
steps:
- checkout
- load_conda_channel_flags
- run:
name: build
command: |
eval "$('/C/tools/miniconda3/Scripts/conda.exe' 'shell.bash' 'hook')"
conda activate base
conda install -yq conda-build "conda-package-handling!=1.5.0"
bash packaging/build_conda.sh
- store_artifacts:
path: C:/tools/miniconda3/conda-bld/win-64
- persist_to_workspace:
root: C:/tools/miniconda3
paths:
- "conda-bld/*"
# Requires org-member context
binary_conda_upload:
docker:
- image: continuumio/miniconda
steps:
- attach_workspace:
at: ~/workspace
- designate_upload_channel
- run:
command: |
# Prevent credential from leaking
conda install -yq anaconda-client
set -x
anaconda -t "${CONDA_PYTORCHBOT_TOKEN}" upload ~/workspace/conda-bld/*/*.tar.bz2 -u "pytorch-${UPLOAD_CHANNEL}" --label main --no-progress --force
# Requires org-member context
binary_wheel_upload:
docker:
- image: circleci/python:3.8
steps:
- attach_workspace:
at: ~/workspace
- checkout
- designate_upload_channel
- run:
command: |
pip install --user awscli
export PATH="$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/${UPLOAD_CHANNEL}/" --acl public-read
done
smoke_test_linux_conda:
<<: *smoke_test_common
steps:
- attach_workspace:
at: ~/workspace
- designate_upload_channel
- load_conda_channel_flags
- run:
name: install binaries
command: |
set -x
source /usr/local/etc/profile.d/conda.sh && conda activate python${PYTHON_VERSION}
conda install -v -y -c pytorch-${UPLOAD_CHANNEL} pytorch cpuonly
conda install -v -y -c file://$HOME/workspace/conda-bld torchaudio
- run:
name: smoke test
command: |
source /usr/local/etc/profile.d/conda.sh && conda activate python${PYTHON_VERSION}
python -c "import torchaudio"
smoke_test_linux_pip:
<<: *smoke_test_common
steps:
- attach_workspace:
at: ~/workspace
- designate_upload_channel
- load_conda_channel_flags
- run:
name: install binaries
command: |
set -x
source /usr/local/etc/profile.d/conda.sh && conda activate python${PYTHON_VERSION}
pip install $(ls ~/workspace/torchaudio*.whl) -f "https://download.pytorch.org/whl/${UPLOAD_CHANNEL}/torch_${UPLOAD_CHANNEL}.html"
- run:
name: smoke test
command: |
source /usr/local/etc/profile.d/conda.sh && conda activate python${PYTHON_VERSION}
python -c "import torchaudio"
smoke_test_windows_conda:
<<: *binary_common
executor:
name: windows-cpu
steps:
- attach_workspace:
at: ~/workspace
- designate_upload_channel
- load_conda_channel_flags
- run:
name: install binaries
command: |
set -x
eval "$('/C/tools/miniconda3/Scripts/conda.exe' 'shell.bash' 'hook')"
conda env remove -n python${PYTHON_VERSION} || true
conda create -yn python${PYTHON_VERSION} python=${PYTHON_VERSION}
conda activate python${PYTHON_VERSION}
conda install -v -y -c pytorch-${UPLOAD_CHANNEL} pytorch cpuonly
conda install -v -y $(ls ~/workspace/torchaudio*.tar.bz2)
- run:
name: smoke test
command: |
eval "$('/C/tools/miniconda3/Scripts/conda.exe' 'shell.bash' 'hook')"
conda activate python${PYTHON_VERSION}
python -c "import torchaudio"
smoke_test_windows_pip:
<<: *binary_common
executor:
name: windows-cpu
steps:
- attach_workspace:
at: ~/workspace
- designate_upload_channel
- load_conda_channel_flags
- run:
name: install binaries
command: |
set -x
eval "$('/C/tools/miniconda3/Scripts/conda.exe' 'shell.bash' 'hook')"
conda env remove -n python${PYTHON_VERSION} || true
conda create -yn python${PYTHON_VERSION} python=${PYTHON_VERSION}
conda activate python${PYTHON_VERSION}
pip install $(ls ~/workspace/torchaudio*.whl) -f "https://download.pytorch.org/whl/${UPLOAD_CHANNEL}/torch_${UPLOAD_CHANNEL}.html"
- run:
name: smoke test
command: |
eval "$('/C/tools/miniconda3/Scripts/conda.exe' 'shell.bash' 'hook')"
conda activate python${PYTHON_VERSION}
python -c "import torchaudio"
smoke_test_docker_image_build:
machine:
image: ubuntu-1604:201903-01
resource_class: large
environment:
image_name: torchaudio/smoke_test
steps:
- checkout
- run:
name: build_docker image
no_output_timeout: "1h"
command: |
cd .circleci/smoke_test/docker && docker build . -t ${image_name}:${CIRCLE_WORKFLOW_ID}
- run:
name: upload docker image
no_output_timeout: "1h"
command: |
set +x
export AWS_ACCESS_KEY_ID=${ECR_AWS_ACCESS_KEY}
export AWS_SECRET_ACCESS_KEY=${ECR_AWS_SECRET_ACCESS_KEY}
eval $(aws ecr get-login --region us-east-1 --no-include-email)
set -x
docker tag ${image_name}:${CIRCLE_WORKFLOW_ID} 308535385114.dkr.ecr.us-east-1.amazonaws.com/${image_name}:${CIRCLE_WORKFLOW_ID}
docker tag ${image_name}:${CIRCLE_WORKFLOW_ID} 308535385114.dkr.ecr.us-east-1.amazonaws.com/${image_name}:latest
docker push 308535385114.dkr.ecr.us-east-1.amazonaws.com/${image_name}:${CIRCLE_WORKFLOW_ID}
docker push 308535385114.dkr.ecr.us-east-1.amazonaws.com/${image_name}:latest
unittest_linux_cpu:
<<: *binary_common
docker:
- image: pytorch/torchaudio_unittest_base:manylinux-20210121
resource_class: 2xlarge+
steps:
- checkout
- attach_workspace:
at: third_party
- designate_upload_channel
- load_conda_channel_flags
- run:
name: Setup
command: .circleci/unittest/linux/scripts/setup_env.sh
- run:
name: Install torchaudio
command: .circleci/unittest/linux/scripts/install.sh
- run:
name: Run tests
command: .circleci/unittest/linux/scripts/run_test.sh
- store_test_results:
path: test-results
- store_artifacts:
path: test/htmlcov
unittest_linux_gpu:
<<: *binary_common
machine:
image: ubuntu-1604-cuda-10.1:201909-23
resource_class: gpu.small
environment:
<<: *environment
image_name: pytorch/torchaudio_unittest_base:manylinux-cuda10.2-cudnn8-20210623
steps:
- checkout
- attach_workspace:
at: third_party
- designate_upload_channel
- load_conda_channel_flags
- run:
name: Pull Docker image
command: docker pull --quiet "${image_name}"
- run:
name: Setup
command: docker run -t --gpus all -e PYTHON_VERSION -v $PWD:$PWD -w $PWD "${image_name}" .circleci/unittest/linux/scripts/setup_env.sh
- run:
name: Install torchaudio
command: docker run -t --gpus all -e UPLOAD_CHANNEL -e CONDA_CHANNEL_FLAGS -v $PWD:$PWD -w $PWD "${image_name}" .circleci/unittest/linux/scripts/install.sh
- run:
name: Run tests
command: docker run -t --gpus all -v $PWD:$PWD -w $PWD -e "TORCHAUDIO_TEST_FORCE_CUDA=1" "${image_name}" .circleci/unittest/linux/scripts/run_test.sh
- store_test_results:
path: test-results
- store_artifacts:
path: test/htmlcov
unittest_windows_cpu:
<<: *binary_common
executor:
name: windows-cpu
steps:
- checkout
- designate_upload_channel
- load_conda_channel_flags
- run:
name: Setup
command: .circleci/unittest/windows/scripts/setup_env.sh
- run:
name: Install torchaudio
command: .circleci/unittest/windows/scripts/install.sh
- run:
name: Run tests
command: .circleci/unittest/windows/scripts/run_test.sh
- store_test_results:
path: test-results
- store_artifacts:
path: test/htmlcov
unittest_windows_gpu:
<<: *binary_common
executor:
name: windows-gpu
environment:
<<: *environment
CUDA_VERSION: "10.2"
steps:
- checkout
- designate_upload_channel
- load_conda_channel_flags
- run:
name: Setup
command: .circleci/unittest/windows/scripts/setup_env.sh
- run:
name: Install torchaudio
command: .circleci/unittest/windows/scripts/install.sh
- run:
name: Run tests
command: .circleci/unittest/windows/scripts/run_test.sh
- store_test_results:
path: test-results
- store_artifacts:
path: test/htmlcov
unittest_macos_cpu:
<<: *binary_common
macos:
xcode: "12.0"
resource_class: large
steps:
- checkout
- install_build_tools_macos
- load_conda_channel_flags
- attach_workspace:
at: third_party
- designate_upload_channel
- run:
name: Setup
command: .circleci/unittest/linux/scripts/setup_env.sh
- run:
name: Install torchaudio
command: .circleci/unittest/linux/scripts/install.sh
- run:
name: Run tests
command: .circleci/unittest/linux/scripts/run_test.sh
- store_test_results:
path: test-results
- store_artifacts:
path: test/htmlcov
stylecheck:
<<: *binary_common
docker:
- image: "pytorch/torchaudio_unittest_base:manylinux"
resource_class: medium
steps:
- checkout
- designate_upload_channel
- load_conda_channel_flags
- run:
name: Setup
command: .circleci/unittest/linux/scripts/setup_env.sh
- run:
name: Run style check
command: .circleci/unittest/linux/scripts/run_style_checks.sh
build_docs:
<<: *binary_common
docker:
- image: "pytorch/manylinux-cuda100"
resource_class: 2xlarge+
steps:
- attach_workspace:
at: ~/workspace
- checkout
- load_conda_channel_flags
- run:
name: Install pytorch-audio
command: .circleci/build_docs/install_wheels.sh
- run:
name: Build docs
command: .circleci/build_docs/build_docs.sh
- persist_to_workspace:
root: ./
paths:
- "*"
- store_artifacts:
path: ./docs/build/html
destination: docs
upload_docs:
<<: *binary_common
docker:
- image: "pytorch/manylinux-cuda100"
resource_class: 2xlarge+
steps:
- attach_workspace:
at: ~/workspace
- run:
name: Generate netrc
command: |
# set credentials for https pushing
# requires the org-member context
cat > ~/.netrc \<<DONE
machine github.com
login pytorchbot
password ${GITHUB_PYTORCHBOT_TOKEN}
DONE
- run:
name: Upload docs
command: |
# Don't use "checkout" step since it uses ssh, which cannot git push
# https://circleci.com/docs/2.0/configuration-reference/#checkout
set -ex
tag=${CIRCLE_TAG:1:5}
target=${tag:-main}
~/workspace/.circleci/build_docs/commit_docs.sh ~/workspace $target
docstring_parameters_sync:
<<: *binary_common
docker:
- image: circleci/python:3.8
steps:
- checkout
- run:
name: Check parameters docstring sync
command: |
pip install --user pydocstyle
pydocstyle torchaudio
workflows:
build:
jobs:
- circleci_consistency
- download_third_parties_nix:
name: download_third_parties_nix
- binary_linux_wheel:
cuda_version: cpu
name: binary_linux_wheel_py3.6_cpu
python_version: '3.6'
requires:
- download_third_parties_nix
- binary_linux_wheel:
cuda_version: cu102
name: binary_linux_wheel_py3.6_cu102
python_version: '3.6'
requires:
- download_third_parties_nix
wheel_docker_image: pytorch/manylinux-cuda102
- binary_linux_wheel:
cuda_version: cu111
name: binary_linux_wheel_py3.6_cu111
python_version: '3.6'
requires:
- download_third_parties_nix
wheel_docker_image: pytorch/manylinux-cuda111
- binary_linux_wheel:
cuda_version: rocm4.1
name: binary_linux_wheel_py3.6_rocm4.1
python_version: '3.6'
requires:
- download_third_parties_nix
wheel_docker_image: pytorch/manylinux-rocm:4.1
- binary_linux_wheel:
cuda_version: cpu
name: binary_linux_wheel_py3.7_cpu
python_version: '3.7'
requires:
- download_third_parties_nix
- binary_linux_wheel:
cuda_version: cu102
name: binary_linux_wheel_py3.7_cu102
python_version: '3.7'
requires:
- download_third_parties_nix
wheel_docker_image: pytorch/manylinux-cuda102
- binary_linux_wheel:
cuda_version: cu111
name: binary_linux_wheel_py3.7_cu111
python_version: '3.7'
requires:
- download_third_parties_nix
wheel_docker_image: pytorch/manylinux-cuda111
- binary_linux_wheel:
cuda_version: rocm4.1
name: binary_linux_wheel_py3.7_rocm4.1
python_version: '3.7'
requires:
- download_third_parties_nix
wheel_docker_image: pytorch/manylinux-rocm:4.1
- binary_linux_wheel:
cuda_version: cpu
filters:
branches:
only:
- /.*/
tags:
only: /v[0-9]+(\.[0-9]+)*-rc[0-9]+/
name: binary_linux_wheel_py3.8_cpu
python_version: '3.8'
requires:
- download_third_parties_nix
- binary_linux_wheel:
cuda_version: cu102
name: binary_linux_wheel_py3.8_cu102
python_version: '3.8'
requires:
- download_third_parties_nix
wheel_docker_image: pytorch/manylinux-cuda102
- binary_linux_wheel:
cuda_version: cu111
name: binary_linux_wheel_py3.8_cu111
python_version: '3.8'
requires:
- download_third_parties_nix
wheel_docker_image: pytorch/manylinux-cuda111
- binary_linux_wheel:
cuda_version: rocm4.1
name: binary_linux_wheel_py3.8_rocm4.1
python_version: '3.8'
requires:
- download_third_parties_nix
wheel_docker_image: pytorch/manylinux-rocm:4.1
- binary_linux_wheel:
cuda_version: cpu
name: binary_linux_wheel_py3.9_cpu
python_version: '3.9'
requires:
- download_third_parties_nix
- binary_linux_wheel:
cuda_version: cu102
name: binary_linux_wheel_py3.9_cu102
python_version: '3.9'
requires:
- download_third_parties_nix
wheel_docker_image: pytorch/manylinux-cuda102
- binary_linux_wheel:
cuda_version: cu111
name: binary_linux_wheel_py3.9_cu111
python_version: '3.9'
requires:
- download_third_parties_nix
wheel_docker_image: pytorch/manylinux-cuda111
- binary_linux_wheel:
cuda_version: rocm4.1
name: binary_linux_wheel_py3.9_rocm4.1
python_version: '3.9'
requires:
- download_third_parties_nix
wheel_docker_image: pytorch/manylinux-rocm:4.1
- binary_macos_wheel:
cuda_version: cpu
name: binary_macos_wheel_py3.6_cpu
python_version: '3.6'
requires:
- download_third_parties_nix
- binary_macos_wheel:
cuda_version: cpu
name: binary_macos_wheel_py3.7_cpu
python_version: '3.7'
requires:
- download_third_parties_nix
- binary_macos_wheel:
cuda_version: cpu
name: binary_macos_wheel_py3.8_cpu
python_version: '3.8'
requires:
- download_third_parties_nix
- binary_macos_wheel:
cuda_version: cpu
name: binary_macos_wheel_py3.9_cpu
python_version: '3.9'
requires:
- download_third_parties_nix
- binary_windows_wheel:
cuda_version: cpu
name: binary_windows_wheel_py3.6_cpu
python_version: '3.6'
- binary_windows_wheel:
cuda_version: cu102
name: binary_windows_wheel_py3.6_cu102
python_version: '3.6'
wheel_docker_image: pytorch/manylinux-cuda102
- binary_windows_wheel:
cuda_version: cu111
name: binary_windows_wheel_py3.6_cu111
python_version: '3.6'
wheel_docker_image: pytorch/manylinux-cuda111
- binary_windows_wheel:
cuda_version: cpu
name: binary_windows_wheel_py3.7_cpu
python_version: '3.7'
- binary_windows_wheel:
cuda_version: cu102
name: binary_windows_wheel_py3.7_cu102
python_version: '3.7'
wheel_docker_image: pytorch/manylinux-cuda102
- binary_windows_wheel:
cuda_version: cu111
name: binary_windows_wheel_py3.7_cu111
python_version: '3.7'
wheel_docker_image: pytorch/manylinux-cuda111
- binary_windows_wheel:
cuda_version: cpu
name: binary_windows_wheel_py3.8_cpu
python_version: '3.8'
- binary_windows_wheel:
cuda_version: cu102
name: binary_windows_wheel_py3.8_cu102
python_version: '3.8'
wheel_docker_image: pytorch/manylinux-cuda102
- binary_windows_wheel:
cuda_version: cu111
name: binary_windows_wheel_py3.8_cu111
python_version: '3.8'
wheel_docker_image: pytorch/manylinux-cuda111
- binary_windows_wheel:
cuda_version: cpu
name: binary_windows_wheel_py3.9_cpu
python_version: '3.9'
- binary_windows_wheel:
cuda_version: cu102
name: binary_windows_wheel_py3.9_cu102
python_version: '3.9'
wheel_docker_image: pytorch/manylinux-cuda102
- binary_windows_wheel:
cuda_version: cu111
name: binary_windows_wheel_py3.9_cu111
python_version: '3.9'
wheel_docker_image: pytorch/manylinux-cuda111
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cpu
cuda_version: cpu
name: binary_linux_conda_py3.6_cpu
python_version: '3.6'
requires:
- download_third_parties_nix
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda102
cuda_version: cu102
name: binary_linux_conda_py3.6_cu102
python_version: '3.6'
requires:
- download_third_parties_nix
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda111
cuda_version: cu111
name: binary_linux_conda_py3.6_cu111
python_version: '3.6'
requires:
- download_third_parties_nix
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cpu
cuda_version: cpu
name: binary_linux_conda_py3.7_cpu
python_version: '3.7'
requires:
- download_third_parties_nix
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda102
cuda_version: cu102
name: binary_linux_conda_py3.7_cu102
python_version: '3.7'
requires:
- download_third_parties_nix
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda111
cuda_version: cu111
name: binary_linux_conda_py3.7_cu111
python_version: '3.7'
requires:
- download_third_parties_nix
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cpu
cuda_version: cpu
name: binary_linux_conda_py3.8_cpu
python_version: '3.8'
requires:
- download_third_parties_nix
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda102
cuda_version: cu102
name: binary_linux_conda_py3.8_cu102
python_version: '3.8'
requires:
- download_third_parties_nix
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda111
cuda_version: cu111
name: binary_linux_conda_py3.8_cu111
python_version: '3.8'
requires:
- download_third_parties_nix
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cpu
cuda_version: cpu
name: binary_linux_conda_py3.9_cpu
python_version: '3.9'
requires:
- download_third_parties_nix
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda102
cuda_version: cu102
name: binary_linux_conda_py3.9_cu102
python_version: '3.9'
requires:
- download_third_parties_nix
- binary_linux_conda:
conda_docker_image: pytorch/conda-builder:cuda111
cuda_version: cu111
name: binary_linux_conda_py3.9_cu111
python_version: '3.9'
requires:
- download_third_parties_nix
- binary_macos_conda:
conda_docker_image: pytorch/conda-builder:cpu
cuda_version: cpu
name: binary_macos_conda_py3.6_cpu
python_version: '3.6'
requires:
- download_third_parties_nix
- binary_macos_conda:
conda_docker_image: pytorch/conda-builder:cpu
cuda_version: cpu
name: binary_macos_conda_py3.7_cpu
python_version: '3.7'
requires:
- download_third_parties_nix
- binary_macos_conda:
conda_docker_image: pytorch/conda-builder:cpu
cuda_version: cpu
name: binary_macos_conda_py3.8_cpu
python_version: '3.8'
requires:
- download_third_parties_nix
- binary_macos_conda:
conda_docker_image: pytorch/conda-builder:cpu
cuda_version: cpu
name: binary_macos_conda_py3.9_cpu
python_version: '3.9'
requires:
- download_third_parties_nix
- binary_windows_conda:
conda_docker_image: pytorch/conda-builder:cpu
cuda_version: cpu
name: binary_windows_conda_py3.6_cpu
python_version: '3.6'
- binary_windows_conda:
conda_docker_image: pytorch/conda-builder:cuda102
cuda_version: cu102
name: binary_windows_conda_py3.6_cu102
python_version: '3.6'
- binary_windows_conda:
conda_docker_image: pytorch/conda-builder:cuda111
cuda_version: cu111
name: binary_windows_conda_py3.6_cu111
python_version: '3.6'
- binary_windows_conda:
conda_docker_image: pytorch/conda-builder:cpu
cuda_version: cpu
name: binary_windows_conda_py3.7_cpu
python_version: '3.7'
- binary_windows_conda:
conda_docker_image: pytorch/conda-builder:cuda102
cuda_version: cu102
name: binary_windows_conda_py3.7_cu102
python_version: '3.7'
- binary_windows_conda:
conda_docker_image: pytorch/conda-builder:cuda111
cuda_version: cu111
name: binary_windows_conda_py3.7_cu111
python_version: '3.7'
- binary_windows_conda:
conda_docker_image: pytorch/conda-builder:cpu
cuda_version: cpu
name: binary_windows_conda_py3.8_cpu
python_version: '3.8'
- binary_windows_conda:
conda_docker_image: pytorch/conda-builder:cuda102
cuda_version: cu102
name: binary_windows_conda_py3.8_cu102
python_version: '3.8'
- binary_windows_conda:
conda_docker_image: pytorch/conda-builder:cuda111
cuda_version: cu111
name: binary_windows_conda_py3.8_cu111
python_version: '3.8'
- binary_windows_conda:
conda_docker_image: pytorch/conda-builder:cpu
cuda_version: cpu
name: binary_windows_conda_py3.9_cpu
python_version: '3.9'
- binary_windows_conda:
conda_docker_image: pytorch/conda-builder:cuda102
cuda_version: cu102
name: binary_windows_conda_py3.9_cu102
python_version: '3.9'
- binary_windows_conda:
conda_docker_image: pytorch/conda-builder:cuda111
cuda_version: cu111
name: binary_windows_conda_py3.9_cu111
python_version: '3.9'
- build_docs:
filters:
branches:
only: