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version: 2.1 | |
#examples: | |
#https://github.com/facebookresearch/ParlAI/blob/master/.circleci/config.yml | |
#https://github.com/facebookresearch/hydra/blob/master/.circleci/config.yml | |
#https://github.com/facebookresearch/habitat-api/blob/master/.circleci/config.yml | |
#drive tests with nox or tox or pytest? | |
# ------------------------------------------------------------------------------------- | |
# environments where we run our jobs | |
# ------------------------------------------------------------------------------------- | |
setupcuda: | |
run: | |
name: Setup CUDA | |
working_directory: ~/ | |
command: | | |
# download and install nvidia drivers, cuda, etc | |
wget --no-verbose --no-clobber -P ~/nvidia-downloads https://developer.download.nvidia.com/compute/cuda/11.3.1/local_installers/cuda_11.3.1_465.19.01_linux.run | |
sudo sh ~/nvidia-downloads/cuda_11.3.1_465.19.01_linux.run --silent | |
echo "Done installing CUDA." | |
pyenv versions | |
nvidia-smi | |
pyenv global 3.9.1 | |
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., 3.7)" | |
type: string | |
cu_version: | |
description: "CUDA version to build against, in CU format (e.g., cpu or cu100)" | |
type: string | |
wheel_docker_image: | |
description: "Wheel only: what docker image to use" | |
type: string | |
default: "pytorch/manylinux-cuda101" | |
conda_docker_image: | |
description: "what docker image to use for docker" | |
type: string | |
default: "pytorch/conda-cuda" | |
environment: | |
PYTHON_VERSION: << parameters.python_version >> | |
BUILD_VERSION: << parameters.build_version >> | |
PYTORCH_VERSION: << parameters.pytorch_version >> | |
CU_VERSION: << parameters.cu_version >> | |
TESTRUN_DOCKER_IMAGE: << parameters.conda_docker_image >> | |
jobs: | |
main: | |
environment: | |
CUDA_VERSION: "11.3" | |
resource_class: gpu.nvidia.small.multi | |
machine: | |
image: ubuntu-2004:202101-01 | |
steps: | |
- checkout | |
- <<: | |
- run: pip3 install --progress-bar off imageio wheel matplotlib 'pillow<7' | |
- run: pip3 install --progress-bar off torch==1.10.0+cu113 torchvision==0.11.1+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html | |
# - run: conda create -p ~/conda_env python=3.7 numpy | |
# - run: conda activate ~/conda_env | |
# - run: conda install -c pytorch pytorch torchvision | |
- run: pip3 install --progress-bar off 'git+https://github.com/facebookresearch/fvcore' | |
- run: pip3 install --progress-bar off 'git+https://github.com/facebookresearch/iopath' | |
- run: | |
name: build | |
command: | | |
export LD_LIBRARY_PATH=$LD_LIBARY_PATH:/usr/local/cuda-11.3/lib64 | |
python3 setup.py build_ext --inplace | |
- run: LD_LIBRARY_PATH=$LD_LIBARY_PATH:/usr/local/cuda-11.3/lib64 python -m unittest discover -v -s tests | |
- run: python3 setup.py bdist_wheel | |
binary_linux_wheel: | |
<<: | |
docker: | |
- image: << parameters.wheel_docker_image >> | |
auth: | |
username: $DOCKERHUB_USERNAME | |
password: $DOCKERHUB_TOKEN | |
resource_class: 2xlarge+ | |
steps: | |
- checkout | |
- run: MAX_JOBS=15 packaging/build_wheel.sh | |
- store_artifacts: | |
path: dist | |
- persist_to_workspace: | |
root: dist | |
paths: | |
- "*" | |
binary_linux_conda: | |
<<: | |
docker: | |
- image: "<< parameters.conda_docker_image >>" | |
auth: | |
username: $DOCKERHUB_USERNAME | |
password: $DOCKERHUB_TOKEN | |
resource_class: 2xlarge+ | |
steps: | |
- checkout | |
# This is building with cuda but no gpu present, | |
# so we aren't running the tests. | |
- run: | |
name: build | |
no_output_timeout: 20m | |
command: MAX_JOBS=15 TEST_FLAG=--no-test packaging/build_conda.sh | |
- store_artifacts: | |
path: /opt/conda/conda-bld/linux-64 | |
- persist_to_workspace: | |
root: /opt/conda/conda-bld/linux-64 | |
paths: | |
- "*" | |
binary_linux_conda_cuda: | |
<<: | |
machine: | |
image: ubuntu-1604:201903-01 | |
resource_class: gpu.nvidia.small.multi | |
steps: | |
- checkout | |
- run: | |
name: Setup environment | |
command: | | |
set -e | |
curl -L https://packagecloud.io/circleci/trusty/gpgkey | sudo apt-key add - | |
curl -L https://dl.google.com/linux/linux_signing_key.pub | sudo apt-key add - | |
sudo apt-get update | |
sudo apt-get install \ | |
apt-transport-https \ | |
ca-certificates \ | |
curl \ | |
gnupg-agent \ | |
software-properties-common | |
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add - | |
sudo add-apt-repository \ | |
"deb [arch=amd64] https://download.docker.com/linux/ubuntu \ | |
$(lsb_release -cs) \ | |
stable" | |
sudo apt-get update | |
export DOCKER_VERSION="5:19.03.2~3-0~ubuntu-xenial" | |
sudo apt-get install docker-ce=${DOCKER_VERSION} docker-ce-cli=${DOCKER_VERSION} containerd.io=1.2.6-3 | |
# Add the package repositories | |
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) | |
curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - | |
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list | |
export NVIDIA_CONTAINER_VERSION="1.0.3-1" | |
sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit=${NVIDIA_CONTAINER_VERSION} | |
sudo systemctl restart docker | |
DRIVER_FN="NVIDIA-Linux-x86_64-460.84.run" | |
wget "https://us.download.nvidia.com/XFree86/Linux-x86_64/460.84/$DRIVER_FN" | |
sudo /bin/bash "$DRIVER_FN" -s --no-drm || (sudo cat /var/log/nvidia-installer.log && false) | |
nvidia-smi | |
- run: | |
name: Pull docker image | |
command: | | |
set -e | |
{ docker login -u="$DOCKERHUB_USERNAME" -p="$DOCKERHUB_TOKEN" ; } 2> /dev/null | |
echo Pulling docker image $TESTRUN_DOCKER_IMAGE | |
docker pull $TESTRUN_DOCKER_IMAGE | |
- run: | |
name: Build and run tests | |
no_output_timeout: 20m | |
command: | | |
set -e | |
cd ${HOME}/project/ | |
export JUST_TESTRUN=1 | |
VARS_TO_PASS="-e PYTHON_VERSION -e BUILD_VERSION -e PYTORCH_VERSION -e CU_VERSION -e JUST_TESTRUN" | |
docker run --gpus all --ipc=host -v $(pwd):/remote -w /remote ${VARS_TO_PASS} ${TESTRUN_DOCKER_IMAGE} ./packaging/build_conda.sh | |
binary_macos_wheel: | |
<<: | |
macos: | |
xcode: "12.0" | |
steps: | |
- checkout | |
- 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 | |
workflows: | |
version: 2 | |
build_and_test: | |
jobs: | |
# - main: | |
# context: DOCKERHUB_TOKEN | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu92 | |
name: linux_conda_py36_cu92_pyt160 | |
python_version: '3.6' | |
pytorch_version: 1.6.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu101 | |
name: linux_conda_py36_cu101_pyt160 | |
python_version: '3.6' | |
pytorch_version: 1.6.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py36_cu102_pyt160 | |
python_version: '3.6' | |
pytorch_version: 1.6.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu101 | |
name: linux_conda_py36_cu101_pyt170 | |
python_version: '3.6' | |
pytorch_version: 1.7.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py36_cu102_pyt170 | |
python_version: '3.6' | |
pytorch_version: 1.7.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu110 | |
name: linux_conda_py36_cu110_pyt170 | |
python_version: '3.6' | |
pytorch_version: 1.7.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu101 | |
name: linux_conda_py36_cu101_pyt171 | |
python_version: '3.6' | |
pytorch_version: 1.7.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py36_cu102_pyt171 | |
python_version: '3.6' | |
pytorch_version: 1.7.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu110 | |
name: linux_conda_py36_cu110_pyt171 | |
python_version: '3.6' | |
pytorch_version: 1.7.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu101 | |
name: linux_conda_py36_cu101_pyt180 | |
python_version: '3.6' | |
pytorch_version: 1.8.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py36_cu102_pyt180 | |
python_version: '3.6' | |
pytorch_version: 1.8.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu111 | |
name: linux_conda_py36_cu111_pyt180 | |
python_version: '3.6' | |
pytorch_version: 1.8.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu101 | |
name: linux_conda_py36_cu101_pyt181 | |
python_version: '3.6' | |
pytorch_version: 1.8.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py36_cu102_pyt181 | |
python_version: '3.6' | |
pytorch_version: 1.8.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu111 | |
name: linux_conda_py36_cu111_pyt181 | |
python_version: '3.6' | |
pytorch_version: 1.8.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py36_cu102_pyt190 | |
python_version: '3.6' | |
pytorch_version: 1.9.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu111 | |
name: linux_conda_py36_cu111_pyt190 | |
python_version: '3.6' | |
pytorch_version: 1.9.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py36_cu102_pyt191 | |
python_version: '3.6' | |
pytorch_version: 1.9.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu111 | |
name: linux_conda_py36_cu111_pyt191 | |
python_version: '3.6' | |
pytorch_version: 1.9.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py36_cu102_pyt1100 | |
python_version: '3.6' | |
pytorch_version: 1.10.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu111 | |
name: linux_conda_py36_cu111_pyt1100 | |
python_version: '3.6' | |
pytorch_version: 1.10.0 | |
- binary_linux_conda: | |
conda_docker_image: pytorch/conda-builder:cuda113 | |
context: DOCKERHUB_TOKEN | |
cu_version: cu113 | |
name: linux_conda_py36_cu113_pyt1100 | |
python_version: '3.6' | |
pytorch_version: 1.10.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu92 | |
name: linux_conda_py37_cu92_pyt160 | |
python_version: '3.7' | |
pytorch_version: 1.6.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu101 | |
name: linux_conda_py37_cu101_pyt160 | |
python_version: '3.7' | |
pytorch_version: 1.6.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py37_cu102_pyt160 | |
python_version: '3.7' | |
pytorch_version: 1.6.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu101 | |
name: linux_conda_py37_cu101_pyt170 | |
python_version: '3.7' | |
pytorch_version: 1.7.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py37_cu102_pyt170 | |
python_version: '3.7' | |
pytorch_version: 1.7.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu110 | |
name: linux_conda_py37_cu110_pyt170 | |
python_version: '3.7' | |
pytorch_version: 1.7.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu101 | |
name: linux_conda_py37_cu101_pyt171 | |
python_version: '3.7' | |
pytorch_version: 1.7.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py37_cu102_pyt171 | |
python_version: '3.7' | |
pytorch_version: 1.7.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu110 | |
name: linux_conda_py37_cu110_pyt171 | |
python_version: '3.7' | |
pytorch_version: 1.7.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu101 | |
name: linux_conda_py37_cu101_pyt180 | |
python_version: '3.7' | |
pytorch_version: 1.8.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py37_cu102_pyt180 | |
python_version: '3.7' | |
pytorch_version: 1.8.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu111 | |
name: linux_conda_py37_cu111_pyt180 | |
python_version: '3.7' | |
pytorch_version: 1.8.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu101 | |
name: linux_conda_py37_cu101_pyt181 | |
python_version: '3.7' | |
pytorch_version: 1.8.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py37_cu102_pyt181 | |
python_version: '3.7' | |
pytorch_version: 1.8.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu111 | |
name: linux_conda_py37_cu111_pyt181 | |
python_version: '3.7' | |
pytorch_version: 1.8.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py37_cu102_pyt190 | |
python_version: '3.7' | |
pytorch_version: 1.9.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu111 | |
name: linux_conda_py37_cu111_pyt190 | |
python_version: '3.7' | |
pytorch_version: 1.9.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py37_cu102_pyt191 | |
python_version: '3.7' | |
pytorch_version: 1.9.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu111 | |
name: linux_conda_py37_cu111_pyt191 | |
python_version: '3.7' | |
pytorch_version: 1.9.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py37_cu102_pyt1100 | |
python_version: '3.7' | |
pytorch_version: 1.10.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu111 | |
name: linux_conda_py37_cu111_pyt1100 | |
python_version: '3.7' | |
pytorch_version: 1.10.0 | |
- binary_linux_conda: | |
conda_docker_image: pytorch/conda-builder:cuda113 | |
context: DOCKERHUB_TOKEN | |
cu_version: cu113 | |
name: linux_conda_py37_cu113_pyt1100 | |
python_version: '3.7' | |
pytorch_version: 1.10.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu92 | |
name: linux_conda_py38_cu92_pyt160 | |
python_version: '3.8' | |
pytorch_version: 1.6.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu101 | |
name: linux_conda_py38_cu101_pyt160 | |
python_version: '3.8' | |
pytorch_version: 1.6.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py38_cu102_pyt160 | |
python_version: '3.8' | |
pytorch_version: 1.6.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu101 | |
name: linux_conda_py38_cu101_pyt170 | |
python_version: '3.8' | |
pytorch_version: 1.7.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py38_cu102_pyt170 | |
python_version: '3.8' | |
pytorch_version: 1.7.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu110 | |
name: linux_conda_py38_cu110_pyt170 | |
python_version: '3.8' | |
pytorch_version: 1.7.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu101 | |
name: linux_conda_py38_cu101_pyt171 | |
python_version: '3.8' | |
pytorch_version: 1.7.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py38_cu102_pyt171 | |
python_version: '3.8' | |
pytorch_version: 1.7.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu110 | |
name: linux_conda_py38_cu110_pyt171 | |
python_version: '3.8' | |
pytorch_version: 1.7.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu101 | |
name: linux_conda_py38_cu101_pyt180 | |
python_version: '3.8' | |
pytorch_version: 1.8.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py38_cu102_pyt180 | |
python_version: '3.8' | |
pytorch_version: 1.8.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu111 | |
name: linux_conda_py38_cu111_pyt180 | |
python_version: '3.8' | |
pytorch_version: 1.8.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu101 | |
name: linux_conda_py38_cu101_pyt181 | |
python_version: '3.8' | |
pytorch_version: 1.8.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py38_cu102_pyt181 | |
python_version: '3.8' | |
pytorch_version: 1.8.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu111 | |
name: linux_conda_py38_cu111_pyt181 | |
python_version: '3.8' | |
pytorch_version: 1.8.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py38_cu102_pyt190 | |
python_version: '3.8' | |
pytorch_version: 1.9.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu111 | |
name: linux_conda_py38_cu111_pyt190 | |
python_version: '3.8' | |
pytorch_version: 1.9.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py38_cu102_pyt191 | |
python_version: '3.8' | |
pytorch_version: 1.9.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu111 | |
name: linux_conda_py38_cu111_pyt191 | |
python_version: '3.8' | |
pytorch_version: 1.9.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py38_cu102_pyt1100 | |
python_version: '3.8' | |
pytorch_version: 1.10.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu111 | |
name: linux_conda_py38_cu111_pyt1100 | |
python_version: '3.8' | |
pytorch_version: 1.10.0 | |
- binary_linux_conda: | |
conda_docker_image: pytorch/conda-builder:cuda113 | |
context: DOCKERHUB_TOKEN | |
cu_version: cu113 | |
name: linux_conda_py38_cu113_pyt1100 | |
python_version: '3.8' | |
pytorch_version: 1.10.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu101 | |
name: linux_conda_py39_cu101_pyt171 | |
python_version: '3.9' | |
pytorch_version: 1.7.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py39_cu102_pyt171 | |
python_version: '3.9' | |
pytorch_version: 1.7.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu110 | |
name: linux_conda_py39_cu110_pyt171 | |
python_version: '3.9' | |
pytorch_version: 1.7.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu101 | |
name: linux_conda_py39_cu101_pyt180 | |
python_version: '3.9' | |
pytorch_version: 1.8.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py39_cu102_pyt180 | |
python_version: '3.9' | |
pytorch_version: 1.8.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu111 | |
name: linux_conda_py39_cu111_pyt180 | |
python_version: '3.9' | |
pytorch_version: 1.8.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu101 | |
name: linux_conda_py39_cu101_pyt181 | |
python_version: '3.9' | |
pytorch_version: 1.8.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py39_cu102_pyt181 | |
python_version: '3.9' | |
pytorch_version: 1.8.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu111 | |
name: linux_conda_py39_cu111_pyt181 | |
python_version: '3.9' | |
pytorch_version: 1.8.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py39_cu102_pyt190 | |
python_version: '3.9' | |
pytorch_version: 1.9.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu111 | |
name: linux_conda_py39_cu111_pyt190 | |
python_version: '3.9' | |
pytorch_version: 1.9.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py39_cu102_pyt191 | |
python_version: '3.9' | |
pytorch_version: 1.9.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu111 | |
name: linux_conda_py39_cu111_pyt191 | |
python_version: '3.9' | |
pytorch_version: 1.9.1 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu102 | |
name: linux_conda_py39_cu102_pyt1100 | |
python_version: '3.9' | |
pytorch_version: 1.10.0 | |
- binary_linux_conda: | |
context: DOCKERHUB_TOKEN | |
cu_version: cu111 | |
name: linux_conda_py39_cu111_pyt1100 | |
python_version: '3.9' | |
pytorch_version: 1.10.0 | |
- binary_linux_conda: | |
conda_docker_image: pytorch/conda-builder:cuda113 | |
context: DOCKERHUB_TOKEN | |
cu_version: cu113 | |
name: linux_conda_py39_cu113_pyt1100 | |
python_version: '3.9' | |
pytorch_version: 1.10.0 | |
- binary_linux_conda_cuda: | |
name: testrun_conda_cuda_py37_cu102_pyt170 | |
context: DOCKERHUB_TOKEN | |
python_version: "3.7" | |
pytorch_version: '1.7.0' | |
cu_version: "cu102" | |
- binary_macos_wheel: | |
cu_version: cpu | |
name: macos_wheel_py36_cpu | |
python_version: '3.6' | |
pytorch_version: '1.9.0' | |
- binary_macos_wheel: | |
cu_version: cpu | |
name: macos_wheel_py37_cpu | |
python_version: '3.7' | |
pytorch_version: '1.9.0' | |
- binary_macos_wheel: | |
cu_version: cpu | |
name: macos_wheel_py38_cpu | |
python_version: '3.8' | |
pytorch_version: '1.9.0' | |
- binary_macos_wheel: | |
cu_version: cpu | |
name: macos_wheel_py39_cpu | |
python_version: '3.9' | |
pytorch_version: '1.9.0' | |