sudo pip -q install awscli==1.16.35
- if [[ "${JOB_BASE_NAME}" == *-test* || "${JOB_BASE_NAME}" == smoke* ]]; then
+ if [[ "${JOB_BASE_NAME}" == *-test* || "${JOB_BASE_NAME}" == smoke* || "${JOB_BASE_NAME}" == binary* ]]; then
if [ -n "${CUDA_VERSION}" ]; then
wget 'https://s3.amazonaws.com/ossci-linux/nvidia_driver/NVIDIA-Linux-x86_64-410.79.run'
sudo /bin/bash ./NVIDIA-Linux-x86_64-410.79.run -s --no-drm
# Nighlty build smoke tests defaults
##############################################################################
-smoke_parse_parameters: &smoke_parse_parameters
- name: Parse date, package_type, python, and CUDA from parameters
+binary_populate_env: &binary_populate_env
+ name: Set up env
command: |
set -ex
- # Default date here so they can be changed in one place
- echo "export DATE=today" >> /home/circleci/project/env
- echo "export NIGHTLIES_DATE_PREAMBLE=1.0.0.dev" >> /home/circleci/project/env
# Set package_type, py_ver, and cu_ver, and maybe libtorch_type
- IFS=_ confs=($JOB_BASE_NAME)
- echo "export PACKAGE_TYPE=${confs[2]}" >> /home/circleci/project/env
- echo "export DESIRED_PYTHON=${confs[3]}" >> /home/circleci/project/env
- echo "export DESIRED_CUDA=${confs[4]}" >> /home/circleci/project/env
-
- if [[ "${#confs[@]}" > 4 ]]; then
- echo "export LIBTORCH_VARIANT=${confs[5]}" >> /home/circleci/project/env
- fi
-
- # Pick which docker image is needed
- source /home/circleci/project/env
if [[ "$PACKAGE_TYPE" == conda ]]; then
docker_image="soumith/conda-cuda"
elif [[ "$DESIRED_CUDA" == cpu ]]; then
else
docker_image="soumith/manylinux-cuda${DESIRED_CUDA:2}"
fi
- echo "export DOCKER_IMAGE=$docker_image" >> /home/circleci/project/env
- export DOCKER_IMAGE=$docker_image
+ cat >/home/circleci/project/env <<EOL
+ # =================== The following code will be executed inside Docker container ===================
+ export DATE=today
+ export NIGHTLIES_DATE_PREAMBLE=1.0.0.dev
+ export PIP_UPLOAD_FOLDER='nightly/'
+ export CIRCLE_TAG="$CIRCLE_TAG"
+ export CIRCLE_SHA1="$CIRCLE_SHA1"
+ export CIRCLE_PR_NUMBER="$CIRCLE_PR_NUMBER"
+ export CIRCLE_BRANCH="$CIRCLE_BRANCH"
+ export PACKAGE_TYPE="$PACKAGE_TYPE"
+ export DESIRED_PYTHON="$DESIRED_PYTHON"
+ export DESIRED_CUDA="$DESIRED_CUDA"
+ export LIBTORCH_VARIANT="$LIBTORCH_VARIANT"
+ export DOCKER_IMAGE="$docker_image"
+ # =================== The above code will be executed inside Docker container ===================
+ EOL
+
+ echo 'retry () {' >> /home/circleci/project/env
+ echo ' $* || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*)' >> /home/circleci/project/env
+ echo '}' >> /home/circleci/project/env
+ echo 'export -f retry' >> /home/circleci/project/env
+
+# This section is used in the binary_test and smoke_test jobs. It expects
+# 'binary_populate_env' to have populated /home/circleci/project/env and it
+# expects another section to populate /home/circleci/project/ci_test_script.sh
+# with the code to run in the docker
+binary_run_in_docker: &binary_run_in_docker
+ name: Run in docker
+ command: |
+ # Expect all needed environment variables to be written to this file
+ source /home/circleci/project/env
+ set -ex
+
+ # Expect actual code to be written to this file
+ chmod +x /home/circleci/project/ci_test_script.sh
+
+ # Run the docker and copy pkgs/env/script into it
+ if [ -n "${CUDA_VERSION}" ]; then
+ export id=$(docker run --runtime=nvidia -t -d "${DOCKER_IMAGE}")
+ else
+ export id=$(docker run -t -d "${DOCKER_IMAGE}")
+ fi
+ docker cp /home/circleci/project/. "$id:/circleci_stuff"
+ if [[ -d "/home/circleci/project/final_pkgs" ]]; then
+ docker cp /home/circleci/project/final_pkgs "$id:/final_pkgs"
+ fi
+
+ # Execute the test script that was populated by an earlier section
+ export COMMAND='((echo "source /circleci_stuff/env && /circleci_stuff/ci_test_script.sh") | docker exec -i "$id" bash) 2>&1'
+ echo ${COMMAND} > ./command.sh && unbuffer bash ./command.sh | ts
+
+# These are the second-round smoke tests. These make sure that the binaries are
+# correct from a user perspective, testing that they exist from the cloud are
+# are runnable. Note that the pytorch repo is never cloned into these jobs
smoke_linux_build: &smoke_linux_build
machine:
image: default
- run:
<<: *setup_ci_environment
- run:
- <<: *smoke_parse_parameters
+ <<: *binary_populate_env
+ - run:
+ name: Test
+ no_output_timeout: "1h"
+ command: |
+ set -ex
+ cat >/home/circleci/project/ci_test_script.sh <<EOL
+ # The following code will be executed inside Docker container
+ set -ex
+ git clone https://github.com/pytorch/builder.git /builder
+ /builder/smoke_test.sh
+ # The above code will be executed inside Docker container
+ EOL
+ - run:
+ <<: *binary_run_in_docker
+
+
+smoke_mac_build: &smoke_mac_build
+ macos:
+ xcode: "9.0"
+ steps:
+ - run:
+ name: Build
+ no_output_timeout: "1h"
+ command: |
+ set -ex
+ export DATE=today
+ export NIGHTLIES_DATE_PREAMBLE=1.0.0.dev
+ # moreutils installs a `parallel` executable by default, which conflicts with the executable from the GNU `parallel`
+ # so we must unlink GNU `parallel` first, and relink it afterwards
+ brew update
+ brew unlink parallel
+ brew install moreutils --without-parallel
+ brew link parallel --overwrite
+ brew install expect
+ git clone https://github.com/pytorch/builder.git
+ unbuffer ./builder/smoke_test.sh | ts
+
+##############################################################################
+# Binary build (nightlies nightly build) defaults
+# The binary builds use the docker executor b/c at time of writing the machine
+# executor is limited to only two cores and is painfully slow (4.5+ hours per
+# GPU build). But the docker executor cannot be run with --runtime=nvidia, and
+# so the binary test/upload jobs must run on a machine executor. The package
+# built in the build job is persisted to the workspace, which the test jobs
+# expect. The test jobs just run a few quick smoke tests (very similar to the
+# second-round-user-facing smoke tests above) and then upload the binaries to
+# their final locations. The upload part requires credentials that should only
+# be available to org-members.
+##############################################################################
+binary_linux_build: &binary_linux_build
+ resource_class: 2xlarge+
+ steps:
+ - run:
+ name: Checkout
+ no_output_timeout: "1h"
+ command: |
+ set -ex
+ cd /
+
+ # Clone the Pytorch branch
+ git clone https://github.com/pytorch/pytorch.git /pytorch
+ pushd /pytorch
+ if [ -n "$CIRCLE_TAG" ]; then
+ git fetch --force origin "refs/tags/${CIRCLE_TAG}"
+ git reset --hard "$CIRCLE_SHA1"
+ git checkout -q "$CIRCLE_TAG"
+ else
+ git fetch --force origin "pull/${CIRCLE_PR_NUMBER}/head:remotes/origin/pull/${CIRCLE_PR_NUMBER}"
+ git reset --hard "$CIRCLE_SHA1"
+ git checkout -q -B "$CIRCLE_BRANCH"
+ fi
+ git reset --hard "$CIRCLE_SHA1"
+ git submodule update --init --recursive
+ popd
+
+ # Clone the Builder master repo
+ git clone -q https://github.com/pytorch/builder.git /builder
- run:
name: Build
no_output_timeout: "1h"
command: |
set -ex
+ # Defaults here so they can be changed in one place
+ export TORCH_PACKAGE_NAME='torch-nightly'
+ export TORCH_CONDA_BUILD_FOLDER='pytorch-nightly'
+ export PIP_UPLOAD_FOLDER='nightly/'
+ export NO_FBGEMM=1
+ export PYTORCH_FINAL_PACKAGE_DIR='/final_pkgs'
+ export PYTORCH_BUILD_VERSION="1.0.0.dev$(date +%Y%m%d)"
+ export PYTORCH_BUILD_NUMBER=1
+ export OVERRIDE_PACKAGE_VERSION="$PYTORCH_BUILD_VERSION"
+ export MAX_JOBS=12
+
+ echo "RUNNING ON $(uname -a) WITH $(nproc) CPUS AND $(free -m)"
+
+ # Parse the parameters
+ if [[ "$PACKAGE_TYPE" == libtorch ]]; then
+ export BUILD_PYTHONLESS=1
+ fi
+ if [[ "$PACKAGE_TYPE" == 'conda' ]]; then
+ build_script='conda/build_pytorch.sh'
+ elif [[ "$DESIRED_CUDA" == cpu ]]; then
+ build_script='manywheel/build_cpu.sh'
+ else
+ build_script='manywheel/build.sh'
+ fi
+
+ # Build the package
+ SKIP_ALL_TESTS=1 "/builder/$build_script"
+ - persist_to_workspace:
+ root: /
+ paths: final_pkgs
+
+binary_linux_test_and_upload: &binary_linux_test_and_upload
+ machine:
+ image: default
+ steps:
+ - run:
+ <<: *setup_ci_environment
+ - attach_workspace:
+ at: /home/circleci/project
+ - run:
+ <<: *binary_populate_env
+ - run:
+ name: Test
+ no_output_timeout: "1h"
+ command: |
source /home/circleci/project/env
+ echo "declare -x \"AWS_ACCESS_KEY_ID=${PYTORCH_BINARY_AWS_ACCESS_KEY_ID}\"" >> /home/circleci/project/env
+ echo "declare -x \"AWS_SECRET_ACCESS_KEY=${PYTORCH_BINARY_AWS_SECRET_ACCESS_KEY}\"" >> /home/circleci/project/env
+ echo "declare -x \"CONDA_USERNAME=${PYTORCH_BINARY_PJH5_CONDA_USERNAME}\"" >> /home/circleci/project/env
+ echo "declare -x \"CONDA_PASSWORD=${PYTORCH_BINARY_PJH5_CONDA_PASSWORD}\"" >> /home/circleci/project/env
+ set -ex
+
+ # Expects pkg to be in /final_pkgs in the docker
+
+ # The variables in the code block below are evaluated at time of `cat`,
+ # so we must declare all new variables now
+ python_nodot="$(echo $DESIRED_PYTHON | tr -d m.u)"
+ pkg="/final_pkgs/$(ls /home/circleci/project/final_pkgs)"
+ CONDA_USERNAME='$CONDA_USERNAME'
+ CONDA_PASSWORD='$CONDA_PASSWORD'
+ if [[ "$PACKAGE_TYPE" == libtorch ]]; then
+ s3_dir="s3://pytorch/libtorch/${PIP_UPLOAD_FOLDER}${DESIRED_CUDA}/"
+ else
+ s3_dir="s3://pytorch/whl/${PIP_UPLOAD_FOLDER}${DESIRED_CUDA}/"
+ fi
cat >/home/circleci/project/ci_test_script.sh <<EOL
# =================== The following code will be executed inside Docker container ===================
- git clone https://github.com/pytorch/builder.git
- ./builder/smoke_test.sh
- # =================== The above code will be executed inside Docker container ===================
- EOL
- chmod +x /home/circleci/project/ci_test_script.sh
+ set -ex
- echo "DOCKER_IMAGE: "${DOCKER_IMAGE}
- docker pull ${DOCKER_IMAGE}
- if [ "${DESIRED_CUDA}" == 'cpu' ]; then
- export id=$(docker run -t -d ${DOCKER_IMAGE})
+ # Clone the Pytorch branch
+ git clone https://github.com/pytorch/pytorch.git /pytorch
+ pushd /pytorch
+ if [ -n "$CIRCLE_TAG" ]; then
+ git fetch --force origin "refs/tags/${CIRCLE_TAG}"
+ git reset --hard "$CIRCLE_SHA1"
+ git checkout -q "$CIRCLE_TAG"
else
- nvidia-smi
- export id=$(nvidia-docker run -t -d ${DOCKER_IMAGE})
+ git fetch --force origin "pull/${CIRCLE_PR_NUMBER}/head:remotes/origin/pull/${CIRCLE_PR_NUMBER}"
+ git reset --hard "$CIRCLE_SHA1"
+ git checkout -q -B "$CIRCLE_BRANCH"
fi
- docker cp /home/circleci/project/. "$id:/circleci_stuff"
+ git reset --hard "$CIRCLE_SHA1"
+ popd
- export COMMAND='((echo "source /circleci_stuff/env && /circleci_stuff/ci_test_script.sh") | docker exec -i "$id" bash) 2>&1'
- echo ${COMMAND} > ./command.sh && unbuffer bash ./command.sh | ts
+ # Clone the Builder master repo
+ git clone -q https://github.com/pytorch/builder.git /builder
-smoke_mac_build: &smoke_mac_build
+ # Set up Python
+ if [[ "$PACKAGE_TYPE" == manywheel ]]; then
+ if [[ "$DESIRED_PYTHON" == '2.7mu' ]]; then
+ export PATH="/opt/python/cp27-cp27mu/bin:$PATH"
+ else
+ export PATH="/opt/python/cp${python_nodot}-cp${python_nodot}m/bin:$PATH"
+ fi
+ else
+ retry conda create -qyn testenv python=$DESIRED_PYTHON
+ source activate testenv
+ fi
+
+ # Install the package
+ if [[ "$PACKAGE_TYPE" == conda ]]; then
+ conda install -y "$pkg" --offline --no-update-dependencies
+ else
+ pip install "$pkg"
+ fi
+
+ # Test the package
+ pushd /pytorch
+ /builder/run_tests.sh "$PACKAGE_TYPE" "$DESIRED_PYTHON" "$DESIRED_CUDA"
+
+ # Upload the package to the final location
+ if [[ -z "DO_NOT_UPLOAD" ]]; then
+ if [[ "$PACKAGE_TYPE" == conda ]]; then
+ retry conda install -yq anaconda-client
+ yes | anaconda login --username "$CONDA_USERNAME" --password "$CONDA_PASSWORD"
+ anaconda upload "$pkg" -u pytorch --label main --no-progress
+ elif [[ "$PACKAGE_TYPE" == libtorch ]]; then
+ retry pip install -q awscli
+ retry aws s3 cp "$pkg" "$s3_dir" --acl public-read
+ else
+ retry pip install -q awscli
+ retry aws s3 cp "$pkg" "$s3_dir" --acl public-read
+ fi
+ fi
+ # =================== The above code will be executed inside Docker container ===================
+ EOL
+ - run:
+ <<: *binary_run_in_docker
+
+
+binary_mac_build: &binary_mac_build
macos:
xcode: "9.0"
steps:
no_output_timeout: "1h"
command: |
set -ex
- export DATE=today
- export NIGHTLIES_DATE_PREAMBLE=1.0.0.dev
-
- brew update
# moreutils installs a `parallel` executable by default, which conflicts with the executable from the GNU `parallel`
# so we must unlink GNU `parallel` first, and relink it afterwards
+ brew update
brew unlink parallel
brew install moreutils --without-parallel
brew link parallel --overwrite
brew install expect
- IFS=_ confs=($JOB_BASE_NAME)
- export PACKAGE_TYPE=${confs[2]}
- export DESIRED_PYTHON=${confs[3]}
- export DESIRED_CUDA=${confs[4]}
+
+ # Default parameters in one place so they're easy to change
+ export PYTORCH_REPO='pytorch'
+ export PYTORCH_BRANCH='master'
+ export TORCH_PACKAGE_NAME='torch-nightly'
+ export PYTORCH_BUILD_VERSION="1.0.0.dev$(date +%Y%m%d)"
+ export PYTORCH_BUILD_NUMBER=1
+ export TORCH_CONDA_BUILD_FOLDER="pytorch-nightly"
+ #export OVERRIDE_PACKAGE_VERSION="some_version.123"
+
+ # Job parameters
+ if [[ "$PACKAGE_TYPE" == 'libtorch' ]]; then
+ export BUILD_PYTHONLESS=1
+ fi
+
git clone https://github.com/pytorch/builder.git
- unbuffer ./builder/smoke_test.sh | ts
+ if [[ "$PACKAGE_TYPE" == conda ]]; then
+ unbuffer ./builder/conda/build_pytorch.sh | ts
+ else
+ export TORCH_PACKAGE_NAME="$(echo $TORCH_PACKAGE_NAME | tr '-' '_')"
+ unbuffer ./builder/wheel/build_wheel.sh | ts
+ fi
+
##############################################################################
##############################################################################
-# Job specifications
+# Job specifications job specs
##############################################################################
##############################################################################
-
version: 2
jobs:
pytorch_linux_trusty_py2_7_9_build:
JOB_BASE_NAME: pytorch-linux-xenial-cuda8-cudnn6-py3-build
DOCKER_IMAGE: "308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-xenial-cuda8-cudnn6-py3:278"
PYTHON_VERSION: "3.6"
- CUDA_VERSION: "9"
+ CUDA_VERSION: "8"
<<: *pytorch_linux_build_defaults
pytorch_linux_xenial_cuda8_cudnn6_py3_test:
<<: *caffe2_macos_build_defaults
+
+##############################################################################
+# Binary build specs individual job specifications
+##############################################################################
+ binary_linux_manywheel_2.7m_cpu_build:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_linux_manywheel_2.7m_cpu"
+ docker:
+ - image: "soumith/manylinux-cuda80"
+ <<: *binary_linux_build
+
+ binary_linux_manywheel_2.7mu_cpu_build:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7mu"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_linux_manywheel_2.7mu_cpu"
+ docker:
+ - image: "soumith/manylinux-cuda80"
+ <<: *binary_linux_build
+
+ binary_linux_manywheel_3.5m_cpu_build:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.5m"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.5m_cpu"
+ docker:
+ - image: "soumith/manylinux-cuda80"
+ <<: *binary_linux_build
+
+ binary_linux_manywheel_3.6m_cpu_build:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.6m"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.6m_cpu"
+ docker:
+ - image: "soumith/manylinux-cuda80"
+ <<: *binary_linux_build
+
+ binary_linux_manywheel_3.7m_cpu_build:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.7m"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.7m_cpu"
+ docker:
+ - image: "soumith/manylinux-cuda80"
+ <<: *binary_linux_build
+
+ binary_linux_manywheel_2.7m_cu80_build:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu80"
+ JOB_BASE_NAME: "binary_linux_manywheel_2.7m_cu80"
+ docker:
+ - image: "soumith/manylinux-cuda80"
+ <<: *binary_linux_build
+
+ binary_linux_manywheel_2.7mu_cu80_build:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7mu"
+ DESIRED_CUDA: "cu80"
+ JOB_BASE_NAME: "binary_linux_manywheel_2.7mu_cu80"
+ docker:
+ - image: "soumith/manylinux-cuda80"
+ <<: *binary_linux_build
+
+ binary_linux_manywheel_3.5m_cu80_build:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.5m"
+ DESIRED_CUDA: "cu80"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.5m_cu80"
+ docker:
+ - image: "soumith/manylinux-cuda80"
+ <<: *binary_linux_build
+
+ binary_linux_manywheel_3.6m_cu80_build:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.6m"
+ DESIRED_CUDA: "cu80"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.6m_cu80"
+ docker:
+ - image: "soumith/manylinux-cuda80"
+ <<: *binary_linux_build
+
+ binary_linux_manywheel_3.7m_cu80_build:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.7m"
+ DESIRED_CUDA: "cu80"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.7m_cu80"
+ docker:
+ - image: "soumith/manylinux-cuda80"
+ <<: *binary_linux_build
+
+ binary_linux_manywheel_2.7m_cu90_build:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu90"
+ JOB_BASE_NAME: "binary_linux_manywheel_2.7m_cu90"
+ docker:
+ - image: "soumith/manylinux-cuda90"
+ <<: *binary_linux_build
+
+ binary_linux_manywheel_2.7mu_cu90_build:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7mu"
+ DESIRED_CUDA: "cu90"
+ JOB_BASE_NAME: "binary_linux_manywheel_2.7mu_cu90"
+ docker:
+ - image: "soumith/manylinux-cuda90"
+ <<: *binary_linux_build
+
+ binary_linux_manywheel_3.5m_cu90_build:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.5m"
+ DESIRED_CUDA: "cu90"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.5m_cu90"
+ docker:
+ - image: "soumith/manylinux-cuda90"
+ <<: *binary_linux_build
+
+ binary_linux_manywheel_3.6m_cu90_build:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.6m"
+ DESIRED_CUDA: "cu90"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.6m_cu90"
+ docker:
+ - image: "soumith/manylinux-cuda90"
+ <<: *binary_linux_build
+
+ binary_linux_manywheel_3.7m_cu90_build:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.7m"
+ DESIRED_CUDA: "cu90"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.7m_cu90"
+ docker:
+ - image: "soumith/manylinux-cuda90"
+ <<: *binary_linux_build
+
+ binary_linux_manywheel_2.7m_cu100_build:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu100"
+ JOB_BASE_NAME: "binary_linux_manywheel_2.7m_cu100"
+ docker:
+ - image: "soumith/manylinux-cuda100"
+ <<: *binary_linux_build
+
+ binary_linux_manywheel_2.7mu_cu100_build:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7mu"
+ DESIRED_CUDA: "cu100"
+ JOB_BASE_NAME: "binary_linux_manywheel_2.7mu_cu100"
+ docker:
+ - image: "soumith/manylinux-cuda100"
+ <<: *binary_linux_build
+
+ binary_linux_manywheel_3.5m_cu100_build:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.5m"
+ DESIRED_CUDA: "cu100"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.5m_cu100"
+ docker:
+ - image: "soumith/manylinux-cuda100"
+ <<: *binary_linux_build
+
+ binary_linux_manywheel_3.6m_cu100_build:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.6m"
+ DESIRED_CUDA: "cu100"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.6m_cu100"
+ docker:
+ - image: "soumith/manylinux-cuda100"
+ <<: *binary_linux_build
+
+ binary_linux_manywheel_3.7m_cu100_build:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.7m"
+ DESIRED_CUDA: "cu100"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.7m_cu100"
+ docker:
+ - image: "soumith/manylinux-cuda100"
+ <<: *binary_linux_build
+
+ binary_linux_conda_2.7_cpu_build:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "2.7"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_linux_conda_2.7_cpu"
+ docker:
+ - image: "soumith/conda-cuda"
+ <<: *binary_linux_build
+
+ binary_linux_conda_3.5_cpu_build:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.5"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_linux_conda_3.5_cpu"
+ docker:
+ - image: "soumith/conda-cuda"
+ <<: *binary_linux_build
+
+ binary_linux_conda_3.6_cpu_build:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.6"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_linux_conda_3.6_cpu"
+ docker:
+ - image: "soumith/conda-cuda"
+ <<: *binary_linux_build
+
+ binary_linux_conda_3.7_cpu_build:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.7"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_linux_conda_3.7_cpu"
+ docker:
+ - image: "soumith/conda-cuda"
+ <<: *binary_linux_build
+
+ binary_linux_conda_2.7_cu80_build:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "2.7"
+ DESIRED_CUDA: "cu80"
+ JOB_BASE_NAME: "binary_linux_conda_2.7_cu80"
+ docker:
+ - image: "soumith/conda-cuda"
+ <<: *binary_linux_build
+
+ binary_linux_conda_3.5_cu80_build:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.5"
+ DESIRED_CUDA: "cu80"
+ JOB_BASE_NAME: "binary_linux_conda_3.5_cu80"
+ docker:
+ - image: "soumith/conda-cuda"
+ <<: *binary_linux_build
+
+ binary_linux_conda_3.6_cu80_build:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.6"
+ DESIRED_CUDA: "cu80"
+ JOB_BASE_NAME: "binary_linux_conda_3.6_cu80"
+ docker:
+ - image: "soumith/conda-cuda"
+ <<: *binary_linux_build
+
+ binary_linux_conda_3.7_cu80_build:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.7"
+ DESIRED_CUDA: "cu80"
+ JOB_BASE_NAME: "binary_linux_conda_3.7_cu80"
+ docker:
+ - image: "soumith/conda-cuda"
+ <<: *binary_linux_build
+
+ binary_linux_conda_2.7_cu90_build:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "2.7"
+ DESIRED_CUDA: "cu90"
+ JOB_BASE_NAME: "binary_linux_conda_2.7_cu90"
+ docker:
+ - image: "soumith/conda-cuda"
+ <<: *binary_linux_build
+
+ binary_linux_conda_3.5_cu90_build:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.5"
+ DESIRED_CUDA: "cu90"
+ JOB_BASE_NAME: "binary_linux_conda_3.5_cu90"
+ docker:
+ - image: "soumith/conda-cuda"
+ <<: *binary_linux_build
+
+ binary_linux_conda_3.6_cu90_build:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.6"
+ DESIRED_CUDA: "cu90"
+ JOB_BASE_NAME: "binary_linux_conda_3.6_cu90"
+ docker:
+ - image: "soumith/conda-cuda"
+ <<: *binary_linux_build
+
+ binary_linux_conda_3.7_cu90_build:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.7"
+ DESIRED_CUDA: "cu90"
+ JOB_BASE_NAME: "binary_linux_conda_3.7_cu90"
+ docker:
+ - image: "soumith/conda-cuda"
+ <<: *binary_linux_build
+
+ binary_linux_conda_2.7_cu100_build:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "2.7"
+ DESIRED_CUDA: "cu100"
+ JOB_BASE_NAME: "binary_linux_conda_2.7_cu100"
+ docker:
+ - image: "soumith/conda-cuda"
+ <<: *binary_linux_build
+
+ binary_linux_conda_3.5_cu100_build:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.5"
+ DESIRED_CUDA: "cu100"
+ JOB_BASE_NAME: "binary_linux_conda_3.5_cu100"
+ docker:
+ - image: "soumith/conda-cuda"
+ <<: *binary_linux_build
+
+ binary_linux_conda_3.6_cu100_build:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.6"
+ DESIRED_CUDA: "cu100"
+ JOB_BASE_NAME: "binary_linux_conda_3.6_cu100"
+ docker:
+ - image: "soumith/conda-cuda"
+ <<: *binary_linux_build
+
+ binary_linux_conda_3.7_cu100_build:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.7"
+ DESIRED_CUDA: "cu100"
+ JOB_BASE_NAME: "binary_linux_conda_3.7_cu100"
+ docker:
+ - image: "soumith/conda-cuda"
+ <<: *binary_linux_build
+
+ binary_linux_libtorch_2.7m_cpu_build:
+ environment:
+ PACKAGE_TYPE: "libtorch"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_linux_libtorch_2.7m_cpu"
+ docker:
+ - image: "soumith/manylinux-cuda80"
+ <<: *binary_linux_build
+
+ binary_linux_libtorch_2.7m_cu80_build:
+ environment:
+ PACKAGE_TYPE: "libtorch"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu80"
+ JOB_BASE_NAME: "binary_linux_libtorch_2.7m_cu80"
+ docker:
+ - image: "soumith/manylinux-cuda80"
+ <<: *binary_linux_build
+
+ binary_linux_libtorch_2.7m_cu90_build:
+ environment:
+ PACKAGE_TYPE: "libtorch"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu90"
+ JOB_BASE_NAME: "binary_linux_libtorch_2.7m_cu90"
+ docker:
+ - image: "soumith/manylinux-cuda90"
+ <<: *binary_linux_build
+
+ binary_linux_libtorch_2.7m_cu100_build:
+ environment:
+ PACKAGE_TYPE: "libtorch"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu100"
+ JOB_BASE_NAME: "binary_linux_libtorch_2.7m_cu100"
+ docker:
+ - image: "soumith/manylinux-cuda100"
+ <<: *binary_linux_build
+
+ binary_macos_wheel_2.7_cpu_build:
+ environment:
+ PACKAGE_TYPE: "wheel"
+ DESIRED_PYTHON: "2.7"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_macos_wheel_2.7_cpu"
+ <<: *binary_mac_build
+
+ binary_macos_wheel_3.5_cpu_build:
+ environment:
+ PACKAGE_TYPE: "wheel"
+ DESIRED_PYTHON: "3.5"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_macos_wheel_3.5_cpu"
+ <<: *binary_mac_build
+
+ binary_macos_wheel_3.6_cpu_build:
+ environment:
+ PACKAGE_TYPE: "wheel"
+ DESIRED_PYTHON: "3.6"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_macos_wheel_3.6_cpu"
+ <<: *binary_mac_build
+
+ binary_macos_wheel_3.7_cpu_build:
+ environment:
+ PACKAGE_TYPE: "wheel"
+ DESIRED_PYTHON: "3.7"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_macos_wheel_3.7_cpu"
+ <<: *binary_mac_build
+
+ binary_macos_conda_2.7_cpu_build:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "2.7"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_macos_conda_2.7_cpu"
+ <<: *binary_mac_build
+
+ binary_macos_conda_3.5_cpu_build:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.5"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_macos_conda_3.5_cpu"
+ <<: *binary_mac_build
+
+ binary_macos_conda_3.6_cpu_build:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.6"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_macos_conda_3.6_cpu"
+ <<: *binary_mac_build
+
+ binary_macos_conda_3.7_cpu_build:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.7"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_macos_conda_3.7_cpu"
+ <<: *binary_mac_build
+
+ binary_macos_libtorch_2.7_cpu_build:
+ environment:
+ PACKAGE_TYPE: "libtorch"
+ DESIRED_PYTHON: "2.7"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_macos_libtorch_2.7_cpu"
+ <<: *binary_mac_build
+
+ # Binary build tests
+ # These are the smoke tests run right after the build, before the upload. If
+ # these fail, the upload doesn't happen
+ #############################################################################
+ binary_linux_manywheel_2.7m_cpu_test_and_upload:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_linux_manywheel_2.7m_cpu"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_manywheel_2.7mu_cpu_test_and_upload:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7mu"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_linux_manywheel_2.7mu_cpu"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_manywheel_3.5m_cpu_test_and_upload:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.5m"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.5m_cpu"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_manywheel_3.6m_cpu_test_and_upload:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.6m"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.6m_cpu"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_manywheel_3.7m_cpu_test_and_upload:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.7m"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.7m_cpu"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_manywheel_2.7m_cu80_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu80"
+ JOB_BASE_NAME: "binary_linux_manywheel_2.7m_cu80"
+ CUDA_VERSION: "8"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_manywheel_2.7mu_cu80_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7mu"
+ DESIRED_CUDA: "cu80"
+ JOB_BASE_NAME: "binary_linux_manywheel_2.7mu_cu80"
+ CUDA_VERSION: "8"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_manywheel_3.5m_cu80_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.5m"
+ DESIRED_CUDA: "cu80"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.5m_cu80"
+ CUDA_VERSION: "8"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_manywheel_3.6m_cu80_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.6m"
+ DESIRED_CUDA: "cu80"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.6m_cu80"
+ CUDA_VERSION: "8"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_manywheel_3.7m_cu80_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.7m"
+ DESIRED_CUDA: "cu80"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.7m_cu80"
+ CUDA_VERSION: "8"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_manywheel_2.7m_cu90_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu90"
+ JOB_BASE_NAME: "binary_linux_manywheel_2.7m_cu90"
+ CUDA_VERSION: "9"
+ DOCKER_IMAGE: "soumith/manylinux-cuda90"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_manywheel_2.7mu_cu90_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7mu"
+ DESIRED_CUDA: "cu90"
+ JOB_BASE_NAME: "binary_linux_manywheel_2.7mu_cu90"
+ CUDA_VERSION: "9"
+ DOCKER_IMAGE: "soumith/manylinux-cuda90"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_manywheel_3.5m_cu90_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.5m"
+ DESIRED_CUDA: "cu90"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.5m_cu90"
+ CUDA_VERSION: "9"
+ DOCKER_IMAGE: "soumith/manylinux-cuda90"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_manywheel_3.6m_cu90_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.6m"
+ DESIRED_CUDA: "cu90"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.6m_cu90"
+ CUDA_VERSION: "9"
+ DOCKER_IMAGE: "soumith/manylinux-cuda90"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_manywheel_3.7m_cu90_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.7m"
+ DESIRED_CUDA: "cu90"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.7m_cu90"
+ CUDA_VERSION: "9"
+ DOCKER_IMAGE: "soumith/manylinux-cuda90"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_manywheel_2.7m_cu100_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu100"
+ JOB_BASE_NAME: "binary_linux_manywheel_2.7m_cu100"
+ CUDA_VERSION: "10"
+ DOCKER_IMAGE: "soumith/manylinux-cuda100"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_manywheel_2.7mu_cu100_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7mu"
+ DESIRED_CUDA: "cu100"
+ JOB_BASE_NAME: "binary_linux_manywheel_2.7mu_cu100"
+ CUDA_VERSION: "10"
+ DOCKER_IMAGE: "soumith/manylinux-cuda100"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_manywheel_3.5m_cu100_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.5m"
+ DESIRED_CUDA: "cu100"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.5m_cu100"
+ CUDA_VERSION: "10"
+ DOCKER_IMAGE: "soumith/manylinux-cuda100"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_manywheel_3.6m_cu100_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.6m"
+ DESIRED_CUDA: "cu100"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.6m_cu100"
+ CUDA_VERSION: "10"
+ DOCKER_IMAGE: "soumith/manylinux-cuda100"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_manywheel_3.7m_cu100_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.7m"
+ DESIRED_CUDA: "cu100"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.7m_cu100"
+ CUDA_VERSION: "10"
+ DOCKER_IMAGE: "soumith/manylinux-cuda100"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_conda_2.7_cpu_test_and_upload:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "2.7"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_linux_conda_2.7_cpu"
+ DOCKER_IMAGE: "soumith/conda-cuda"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_conda_3.5_cpu_test_and_upload:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.5"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_linux_conda_3.5_cpu"
+ DOCKER_IMAGE: "soumith/conda-cuda"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_conda_3.6_cpu_test_and_upload:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.6"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_linux_conda_3.6_cpu"
+ DOCKER_IMAGE: "soumith/conda-cuda"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_conda_3.7_cpu_test_and_upload:
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.7"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_linux_conda_3.7_cpu"
+ DOCKER_IMAGE: "soumith/conda-cuda"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_conda_2.7_cu80_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "2.7"
+ DESIRED_CUDA: "cu80"
+ JOB_BASE_NAME: "binary_linux_conda_2.7_cu80"
+ CUDA_VERSION: "8"
+ DOCKER_IMAGE: "soumith/conda-cuda"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_conda_3.5_cu80_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.5"
+ DESIRED_CUDA: "cu80"
+ JOB_BASE_NAME: "binary_linux_conda_3.5_cu80"
+ CUDA_VERSION: "8"
+ DOCKER_IMAGE: "soumith/conda-cuda"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_conda_3.6_cu80_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.6"
+ DESIRED_CUDA: "cu80"
+ JOB_BASE_NAME: "binary_linux_conda_3.6_cu80"
+ CUDA_VERSION: "8"
+ DOCKER_IMAGE: "soumith/conda-cuda"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_conda_3.7_cu80_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.7"
+ DESIRED_CUDA: "cu80"
+ JOB_BASE_NAME: "binary_linux_conda_3.7_cu80"
+ CUDA_VERSION: "8"
+ DOCKER_IMAGE: "soumith/conda-cuda"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_conda_2.7_cu90_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "2.7"
+ DESIRED_CUDA: "cu90"
+ JOB_BASE_NAME: "binary_linux_conda_2.7_cu90"
+ CUDA_VERSION: "9"
+ DOCKER_IMAGE: "soumith/conda-cuda"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_conda_3.5_cu90_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.5"
+ DESIRED_CUDA: "cu90"
+ JOB_BASE_NAME: "binary_linux_conda_3.5_cu90"
+ CUDA_VERSION: "9"
+ DOCKER_IMAGE: "soumith/conda-cuda"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_conda_3.6_cu90_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.6"
+ DESIRED_CUDA: "cu90"
+ JOB_BASE_NAME: "binary_linux_conda_3.6_cu90"
+ CUDA_VERSION: "9"
+ DOCKER_IMAGE: "soumith/conda-cuda"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_conda_3.7_cu90_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.7"
+ DESIRED_CUDA: "cu90"
+ JOB_BASE_NAME: "binary_linux_conda_3.7_cu90"
+ CUDA_VERSION: "9"
+ DOCKER_IMAGE: "soumith/conda-cuda"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_conda_2.7_cu100_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "2.7"
+ DESIRED_CUDA: "cu100"
+ JOB_BASE_NAME: "binary_linux_conda_2.7_cu100"
+ CUDA_VERSION: "10"
+ DOCKER_IMAGE: "soumith/conda-cuda"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_conda_3.5_cu100_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.5"
+ DESIRED_CUDA: "cu100"
+ JOB_BASE_NAME: "binary_linux_conda_3.5_cu100"
+ CUDA_VERSION: "10"
+ DOCKER_IMAGE: "soumith/conda-cuda"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_conda_3.6_cu100_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.6"
+ DESIRED_CUDA: "cu100"
+ JOB_BASE_NAME: "binary_linux_conda_3.6_cu100"
+ CUDA_VERSION: "10"
+ DOCKER_IMAGE: "soumith/conda-cuda"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_conda_3.7_cu100_test_and_upload:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.7"
+ DESIRED_CUDA: "cu100"
+ JOB_BASE_NAME: "binary_linux_conda_3.7_cu100"
+ CUDA_VERSION: "10"
+ DOCKER_IMAGE: "soumith/conda-cuda"
+ <<: *binary_linux_test_and_upload
+
+
+# Non-upload binary jobs for PRsPACKAGE_TYPEDESIRED_PYTHONDESIRED_CUDA:
+# Keywords: binary tests first round smoke tests binary pr test pr binary test
+
+
+ binary_linux_manywheel_2.7mu_cpu_test:
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7mu"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_linux_manywheel_2.7mu_cpu"
+ DO_NOT_UPLOAD: "DO_NOT_DELETE_THIS"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_manywheel_3.5m_cu80_test:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.5m"
+ DESIRED_CUDA: "cu80"
+ JOB_BASE_NAME: "binary_linux_manywheel_3.5m_cu80"
+ CUDA_VERSION: "8"
+ DO_NOT_UPLOAD: "DO_NOT_DELETE_THIS"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_conda_3.6_cpu_test:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.6"
+ DESIRED_CUDA: "cpu"
+ JOB_BASE_NAME: "binary_linux_conda_3.6_cpu"
+ DO_NOT_UPLOAD: "DO_NOT_DELETE_THIS"
+ DOCKER_IMAGE: "soumith/conda-cuda"
+ <<: *binary_linux_test_and_upload
+
+ binary_linux_conda_3.7_cu100_test:
+ resource_class: gpu.medium
+ environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.7"
+ DESIRED_CUDA: "cu100"
+ JOB_BASE_NAME: "binary_linux_conda_3.7_cu100"
+ CUDA_VERSION: "10"
+ DO_NOT_UPLOAD: "DO_NOT_DELETE_THIS"
+ DOCKER_IMAGE: "soumith/conda-cuda"
+ <<: *binary_linux_test_and_upload
+
+
##############################################################################
# Smoke test specs individual job specifications
##############################################################################
smoke_linux_manywheel_2.7m_cpu:
environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cpu"
JOB_BASE_NAME: "smoke_linux_manywheel_2.7m_cpu"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
<<: *smoke_linux_build
smoke_linux_manywheel_2.7mu_cpu:
environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7mu"
+ DESIRED_CUDA: "cpu"
JOB_BASE_NAME: "smoke_linux_manywheel_2.7mu_cpu"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
<<: *smoke_linux_build
smoke_linux_manywheel_3.5m_cpu:
environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.5m"
+ DESIRED_CUDA: "cpu"
JOB_BASE_NAME: "smoke_linux_manywheel_3.5m_cpu"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
<<: *smoke_linux_build
smoke_linux_manywheel_3.6m_cpu:
environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.6m"
+ DESIRED_CUDA: "cpu"
JOB_BASE_NAME: "smoke_linux_manywheel_3.6m_cpu"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
<<: *smoke_linux_build
smoke_linux_manywheel_3.7m_cpu:
environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.7m"
+ DESIRED_CUDA: "cpu"
JOB_BASE_NAME: "smoke_linux_manywheel_3.7m_cpu"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
<<: *smoke_linux_build
smoke_linux_manywheel_2.7m_cu80:
environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu80"
JOB_BASE_NAME: "smoke_linux_manywheel_2.7m_cu80"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
CUDA_VERSION: "8"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_manywheel_2.7mu_cu80:
environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7mu"
+ DESIRED_CUDA: "cu80"
JOB_BASE_NAME: "smoke_linux_manywheel_2.7mu_cu80"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
CUDA_VERSION: "8"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_manywheel_3.5m_cu80:
environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.5m"
+ DESIRED_CUDA: "cu80"
JOB_BASE_NAME: "smoke_linux_manywheel_3.5m_cu80"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
CUDA_VERSION: "8"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_manywheel_3.6m_cu80:
environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.6m"
+ DESIRED_CUDA: "cu80"
JOB_BASE_NAME: "smoke_linux_manywheel_3.6m_cu80"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
CUDA_VERSION: "8"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_manywheel_3.7m_cu80:
environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.7m"
+ DESIRED_CUDA: "cu80"
JOB_BASE_NAME: "smoke_linux_manywheel_3.7m_cu80"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
CUDA_VERSION: "8"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_manywheel_2.7m_cu90:
environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu90"
JOB_BASE_NAME: "smoke_linux_manywheel_2.7m_cu90"
+ DOCKER_IMAGE: "soumith/manylinux-cuda90"
CUDA_VERSION: "9"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_manywheel_2.7mu_cu90:
environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7mu"
+ DESIRED_CUDA: "cu90"
JOB_BASE_NAME: "smoke_linux_manywheel_2.7mu_cu90"
+ DOCKER_IMAGE: "soumith/manylinux-cuda90"
CUDA_VERSION: "9"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_manywheel_3.5m_cu90:
environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.5m"
+ DESIRED_CUDA: "cu90"
JOB_BASE_NAME: "smoke_linux_manywheel_3.5m_cu90"
+ DOCKER_IMAGE: "soumith/manylinux-cuda90"
CUDA_VERSION: "9"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_manywheel_3.6m_cu90:
environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.6m"
+ DESIRED_CUDA: "cu90"
JOB_BASE_NAME: "smoke_linux_manywheel_3.6m_cu90"
+ DOCKER_IMAGE: "soumith/manylinux-cuda90"
CUDA_VERSION: "9"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_manywheel_3.7m_cu90:
environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.7m"
+ DESIRED_CUDA: "cu90"
JOB_BASE_NAME: "smoke_linux_manywheel_3.7m_cu90"
+ DOCKER_IMAGE: "soumith/manylinux-cuda90"
CUDA_VERSION: "9"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_manywheel_2.7m_cu100:
environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu100"
JOB_BASE_NAME: "smoke_linux_manywheel_2.7m_cu100"
+ DOCKER_IMAGE: "soumith/manylinux-cuda100"
CUDA_VERSION: "10"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_manywheel_2.7mu_cu100:
environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "2.7mu"
+ DESIRED_CUDA: "cu100"
JOB_BASE_NAME: "smoke_linux_manywheel_2.7mu_cu100"
+ DOCKER_IMAGE: "soumith/manylinux-cuda100"
CUDA_VERSION: "10"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_manywheel_3.5m_cu100:
environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.5m"
+ DESIRED_CUDA: "cu100"
JOB_BASE_NAME: "smoke_linux_manywheel_3.5m_cu100"
+ DOCKER_IMAGE: "soumith/manylinux-cuda100"
CUDA_VERSION: "10"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_manywheel_3.6m_cu100:
environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.6m"
+ DESIRED_CUDA: "cu100"
JOB_BASE_NAME: "smoke_linux_manywheel_3.6m_cu100"
+ DOCKER_IMAGE: "soumith/manylinux-cuda100"
CUDA_VERSION: "10"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_manywheel_3.7m_cu100:
environment:
+ PACKAGE_TYPE: "manywheel"
+ DESIRED_PYTHON: "3.7m"
+ DESIRED_CUDA: "cu100"
JOB_BASE_NAME: "smoke_linux_manywheel_3.7m_cu100"
+ DOCKER_IMAGE: "soumith/manylinux-cuda100"
CUDA_VERSION: "10"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_conda_2.7_cpu:
environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "2.7"
+ DESIRED_CUDA: "cpu"
JOB_BASE_NAME: "smoke_linux_conda_2.7_cpu"
+ DOCKER_IMAGE: "soumith/conda-cuda"
<<: *smoke_linux_build
smoke_linux_conda_3.5_cpu:
environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.5"
+ DESIRED_CUDA: "cpu"
JOB_BASE_NAME: "smoke_linux_conda_3.5_cpu"
+ DOCKER_IMAGE: "soumith/conda-cuda"
<<: *smoke_linux_build
smoke_linux_conda_3.6_cpu:
environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.6"
+ DESIRED_CUDA: "cpu"
JOB_BASE_NAME: "smoke_linux_conda_3.6_cpu"
+ DOCKER_IMAGE: "soumith/conda-cuda"
<<: *smoke_linux_build
smoke_linux_conda_3.7_cpu:
environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.7"
+ DESIRED_CUDA: "cpu"
JOB_BASE_NAME: "smoke_linux_conda_3.7_cpu"
+ DOCKER_IMAGE: "soumith/conda-cuda"
<<: *smoke_linux_build
smoke_linux_conda_2.7_cu80:
environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "2.7"
+ DESIRED_CUDA: "cu80"
JOB_BASE_NAME: "smoke_linux_conda_2.7_cu80"
+ DOCKER_IMAGE: "soumith/conda-cuda"
CUDA_VERSION: "8"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_conda_3.5_cu80:
environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.5"
+ DESIRED_CUDA: "cu80"
JOB_BASE_NAME: "smoke_linux_conda_3.5_cu80"
+ DOCKER_IMAGE: "soumith/conda-cuda"
CUDA_VERSION: "8"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_conda_3.6_cu80:
environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.6"
+ DESIRED_CUDA: "cu80"
JOB_BASE_NAME: "smoke_linux_conda_3.6_cu80"
+ DOCKER_IMAGE: "soumith/conda-cuda"
CUDA_VERSION: "8"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_conda_3.7_cu80:
environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.7"
+ DESIRED_CUDA: "cu80"
JOB_BASE_NAME: "smoke_linux_conda_3.7_cu80"
+ DOCKER_IMAGE: "soumith/conda-cuda"
CUDA_VERSION: "8"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_conda_2.7_cu90:
environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "2.7"
+ DESIRED_CUDA: "cu90"
JOB_BASE_NAME: "smoke_linux_conda_2.7_cu90"
+ DOCKER_IMAGE: "soumith/conda-cuda"
CUDA_VERSION: "9"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_conda_3.5_cu90:
environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.5"
+ DESIRED_CUDA: "cu90"
JOB_BASE_NAME: "smoke_linux_conda_3.5_cu90"
+ DOCKER_IMAGE: "soumith/conda-cuda"
CUDA_VERSION: "9"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_conda_3.6_cu90:
environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.6"
+ DESIRED_CUDA: "cu90"
JOB_BASE_NAME: "smoke_linux_conda_3.6_cu90"
+ DOCKER_IMAGE: "soumith/conda-cuda"
CUDA_VERSION: "9"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_conda_3.7_cu90:
environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.7"
+ DESIRED_CUDA: "cu90"
JOB_BASE_NAME: "smoke_linux_conda_3.7_cu90"
+ DOCKER_IMAGE: "soumith/conda-cuda"
CUDA_VERSION: "9"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_conda_2.7_cu100:
environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "2.7"
+ DESIRED_CUDA: "cu100"
JOB_BASE_NAME: "smoke_linux_conda_2.7_cu100"
+ DOCKER_IMAGE: "soumith/conda-cuda"
CUDA_VERSION: "10"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_conda_3.5_cu100:
environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.5"
+ DESIRED_CUDA: "cu100"
JOB_BASE_NAME: "smoke_linux_conda_3.5_cu100"
+ DOCKER_IMAGE: "soumith/conda-cuda"
CUDA_VERSION: "10"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_conda_3.6_cu100:
environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.6"
+ DESIRED_CUDA: "cu100"
JOB_BASE_NAME: "smoke_linux_conda_3.6_cu100"
+ DOCKER_IMAGE: "soumith/conda-cuda"
CUDA_VERSION: "10"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_conda_3.7_cu100:
environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.7"
+ DESIRED_CUDA: "cu100"
JOB_BASE_NAME: "smoke_linux_conda_3.7_cu100"
+ DOCKER_IMAGE: "soumith/conda-cuda"
CUDA_VERSION: "10"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_libtorch_2.7m_cpu_shared-with-deps:
environment:
+ PACKAGE_TYPE: "libtorch"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cpu"
+ LIBTORCH_VARIANT: "shared-with-deps"
JOB_BASE_NAME: "smoke_linux_libtorch_2.7m_cpu_shared-with-deps"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
<<: *smoke_linux_build
smoke_linux_libtorch_2.7m_cpu_shared-without-deps:
environment:
+ PACKAGE_TYPE: "libtorch"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cpu"
+ LIBTORCH_VARIANT: "shared-without-deps"
JOB_BASE_NAME: "smoke_linux_libtorch_2.7m_cpu_shared-without-deps"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
<<: *smoke_linux_build
smoke_linux_libtorch_2.7m_cpu_static-with-deps:
environment:
+ PACKAGE_TYPE: "libtorch"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cpu"
+ LIBTORCH_VARIANT: "static-with-deps"
JOB_BASE_NAME: "smoke_linux_libtorch_2.7m_cpu_static-with-deps"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
<<: *smoke_linux_build
smoke_linux_libtorch_2.7m_cpu_static-without-deps:
environment:
+ PACKAGE_TYPE: "libtorch"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cpu"
+ LIBTORCH_VARIANT: "static-without-deps"
JOB_BASE_NAME: "smoke_linux_libtorch_2.7m_cpu_static-without-deps"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
<<: *smoke_linux_build
smoke_linux_libtorch_2.7m_cu80_shared-with-deps:
environment:
+ PACKAGE_TYPE: "libtorch"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu80"
+ LIBTORCH_VARIANT: "shared-with-deps"
JOB_BASE_NAME: "smoke_linux_libtorch_2.7m_cu80_shared-with-deps"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
CUDA_VERSION: "8"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_libtorch_2.7m_cu80_shared-without-deps:
environment:
+ PACKAGE_TYPE: "libtorch"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu80"
+ LIBTORCH_VARIANT: "shared-without-deps"
JOB_BASE_NAME: "smoke_linux_libtorch_2.7m_cu80_shared-without-deps"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
CUDA_VERSION: "8"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_libtorch_2.7m_cu80_static-with-deps:
environment:
+ PACKAGE_TYPE: "libtorch"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu80"
+ LIBTORCH_VARIANT: "static-with-deps"
JOB_BASE_NAME: "smoke_linux_libtorch_2.7m_cu80_static-with-deps"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
CUDA_VERSION: "8"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_libtorch_2.7m_cu80_static-without-deps:
environment:
+ PACKAGE_TYPE: "libtorch"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu80"
+ LIBTORCH_VARIANT: "static-without-deps"
JOB_BASE_NAME: "smoke_linux_libtorch_2.7m_cu80_static-without-deps"
+ DOCKER_IMAGE: "soumith/manylinux-cuda80"
CUDA_VERSION: "8"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_libtorch_2.7m_cu90_shared-with-deps:
environment:
+ PACKAGE_TYPE: "libtorch"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu90"
+ LIBTORCH_VARIANT: "shared-with-deps"
JOB_BASE_NAME: "smoke_linux_libtorch_2.7m_cu90_shared-with-deps"
+ DOCKER_IMAGE: "soumith/manylinux-cuda90"
CUDA_VERSION: "9"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_libtorch_2.7m_cu90_shared-without-deps:
environment:
+ PACKAGE_TYPE: "libtorch"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu90"
+ LIBTORCH_VARIANT: "shared-without-deps"
JOB_BASE_NAME: "smoke_linux_libtorch_2.7m_cu90_shared-without-deps"
+ DOCKER_IMAGE: "soumith/manylinux-cuda90"
CUDA_VERSION: "9"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_libtorch_2.7m_cu90_static-with-deps:
environment:
+ PACKAGE_TYPE: "libtorch"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu90"
+ LIBTORCH_VARIANT: "static-with-deps"
JOB_BASE_NAME: "smoke_linux_libtorch_2.7m_cu90_static-with-deps"
+ DOCKER_IMAGE: "soumith/manylinux-cuda90"
CUDA_VERSION: "9"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_libtorch_2.7m_cu90_static-without-deps:
environment:
+ PACKAGE_TYPE: "libtorch"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu90"
+ LIBTORCH_VARIANT: "static-without-deps"
JOB_BASE_NAME: "smoke_linux_libtorch_2.7m_cu90_static-without-deps"
+ DOCKER_IMAGE: "soumith/manylinux-cuda90"
CUDA_VERSION: "9"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_libtorch_2.7m_cu100_shared-with-deps:
environment:
+ PACKAGE_TYPE: "libtorch"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu100"
+ LIBTORCH_VARIANT: "shared-with-deps"
JOB_BASE_NAME: "smoke_linux_libtorch_2.7m_cu100_shared-with-deps"
+ DOCKER_IMAGE: "soumith/manylinux-cuda100"
CUDA_VERSION: "10"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_libtorch_2.7m_cu100_shared-without-deps:
environment:
+ PACKAGE_TYPE: "libtorch"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu100"
+ LIBTORCH_VARIANT: "shared-without-deps"
JOB_BASE_NAME: "smoke_linux_libtorch_2.7m_cu100_shared-without-deps"
+ DOCKER_IMAGE: "soumith/manylinux-cuda100"
CUDA_VERSION: "10"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_libtorch_2.7m_cu100_static-with-deps:
environment:
+ PACKAGE_TYPE: "libtorch"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu100"
+ LIBTORCH_VARIANT: "static-with-deps"
JOB_BASE_NAME: "smoke_linux_libtorch_2.7m_cu100_static-with-deps"
+ DOCKER_IMAGE: "soumith/manylinux-cuda100"
CUDA_VERSION: "10"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_linux_libtorch_2.7m_cu100_static-without-deps:
environment:
+ PACKAGE_TYPE: "libtorch"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cu100"
+ LIBTORCH_VARIANT: "static-without-deps"
JOB_BASE_NAME: "smoke_linux_libtorch_2.7m_cu100_static-without-deps"
+ DOCKER_IMAGE: "soumith/manylinux-cuda100"
CUDA_VERSION: "10"
- resource_class: gpu.small
+ resource_class: gpu.medium
<<: *smoke_linux_build
smoke_macos_wheel_2.7_cpu:
environment:
+ PACKAGE_TYPE: "wheel"
+ DESIRED_PYTHON: "2.7"
+ DESIRED_CUDA: "cpu"
JOB_BASE_NAME: "smoke_macos_wheel_2.7_cpu"
<<: *smoke_mac_build
smoke_macos_wheel_3.5_cpu:
environment:
+ PACKAGE_TYPE: "wheel"
+ DESIRED_PYTHON: "3.5"
+ DESIRED_CUDA: "cpu"
JOB_BASE_NAME: "smoke_macos_wheel_3.5_cpu"
<<: *smoke_mac_build
smoke_macos_wheel_3.6_cpu:
environment:
+ PACKAGE_TYPE: "wheel"
+ DESIRED_PYTHON: "3.6"
+ DESIRED_CUDA: "cpu"
JOB_BASE_NAME: "smoke_macos_wheel_3.6_cpu"
<<: *smoke_mac_build
smoke_macos_wheel_3.7_cpu:
environment:
+ PACKAGE_TYPE: "wheel"
+ DESIRED_PYTHON: "3.7"
+ DESIRED_CUDA: "cpu"
JOB_BASE_NAME: "smoke_macos_wheel_3.7_cpu"
<<: *smoke_mac_build
smoke_macos_conda_2.7_cpu:
environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "2.7"
+ DESIRED_CUDA: "cpu"
JOB_BASE_NAME: "smoke_macos_conda_2.7_cpu"
<<: *smoke_mac_build
smoke_macos_conda_3.5_cpu:
environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.5"
+ DESIRED_CUDA: "cpu"
JOB_BASE_NAME: "smoke_macos_conda_3.5_cpu"
<<: *smoke_mac_build
smoke_macos_conda_3.6_cpu:
environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.6"
+ DESIRED_CUDA: "cpu"
JOB_BASE_NAME: "smoke_macos_conda_3.6_cpu"
<<: *smoke_mac_build
smoke_macos_conda_3.7_cpu:
environment:
+ PACKAGE_TYPE: "conda"
+ DESIRED_PYTHON: "3.7"
+ DESIRED_CUDA: "cpu"
JOB_BASE_NAME: "smoke_macos_conda_3.7_cpu"
<<: *smoke_mac_build
smoke_macos_libtorch_2.7m_cpu:
environment:
+ PACKAGE_TYPE: "libtorch"
+ DESIRED_PYTHON: "2.7m"
+ DESIRED_CUDA: "cpu"
JOB_BASE_NAME: "smoke_macos_libtorch_2.7m_cpu"
<<: *smoke_mac_build
##############################################################################
##############################################################################
+# PR jobs pr builds
workflows:
version: 2
build:
jobs:
+ # Pytorch linux builds
- pytorch_linux_trusty_py2_7_9_build
- pytorch_linux_trusty_py2_7_9_test:
requires:
- pytorch_linux_xenial_cuda9_2_cudnn7_py3_gcc7_build
- pytorch_linux_xenial_cuda10_cudnn7_py3_gcc7_build
+ # Pytorch MacOS builds
- pytorch_macos_10_13_py3_build
- pytorch_macos_10_13_py3_test:
requires:
- pytorch_macos_10_13_py3_build
- pytorch_macos_10_13_cuda9_2_cudnn7_py3_build
+ # Caffe2 builds
- caffe2_py2_cuda8_0_cudnn6_ubuntu16_04_build
- caffe2_py2_cuda8_0_cudnn6_ubuntu16_04_test:
requires:
requires:
- caffe2_py2_cuda9_0_cudnn7_centos7_build
+ # Caffe2 MacOS builds
- caffe2_py2_ios_macos10_13_build
- caffe2_py2_system_macos10_13_build
+ # Binary builds (subset, to smoke test that they'll work)
+ - binary_linux_manywheel_2.7mu_cpu_build
+ - binary_linux_manywheel_2.7mu_cpu_test:
+ requires:
+ - binary_linux_manywheel_2.7mu_cpu_build
+ - binary_linux_conda_3.7_cu100_build
+ - binary_linux_conda_3.7_cu100_test:
+ requires:
+ - binary_linux_conda_3.7_cu100_build
+ - binary_macos_conda_3.5_cpu_build
+
##############################################################################
# Daily smoke test trigger
##############################################################################
- nightly:
+ binarysmoketests:
triggers:
- schedule:
cron: "15 16 * * *"
- smoke_macos_conda_3.5_cpu
- smoke_macos_conda_3.6_cpu
- smoke_macos_conda_3.7_cpu
- - smoke_macos_libtorch_2.7m_cpu
+ - smoke_macos_libtorch_2.7_cpu
+
+
+##############################################################################
+# Daily binary build trigger
+##############################################################################
+ binarybuilds:
+ triggers:
+ - schedule:
+ cron: "15 16 * * *"
+ filters:
+ branches:
+ only:
+ - master
+ jobs:
+ - binary_linux_manywheel_2.7m_cpu_build
+ - binary_linux_manywheel_2.7mu_cpu_build
+ - binary_linux_manywheel_3.5m_cpu_build
+ - binary_linux_manywheel_3.6m_cpu_build
+ - binary_linux_manywheel_3.7m_cpu_build
+ - binary_linux_manywheel_2.7m_cu80_build
+ - binary_linux_manywheel_2.7mu_cu80_build
+ - binary_linux_manywheel_3.5m_cu80_build
+ - binary_linux_manywheel_3.6m_cu80_build
+ - binary_linux_manywheel_3.7m_cu80_build
+ - binary_linux_manywheel_2.7m_cu90_build
+ - binary_linux_manywheel_2.7mu_cu90_build
+ - binary_linux_manywheel_3.5m_cu90_build
+ - binary_linux_manywheel_3.6m_cu90_build
+ - binary_linux_manywheel_3.7m_cu90_build
+ - binary_linux_manywheel_2.7m_cu100_build
+ - binary_linux_manywheel_2.7mu_cu100_build
+ - binary_linux_manywheel_3.5m_cu100_build
+ - binary_linux_manywheel_3.6m_cu100_build
+ - binary_linux_manywheel_3.7m_cu100_build
+ - binary_linux_conda_2.7_cpu_build
+ - binary_linux_conda_3.5_cpu_build
+ - binary_linux_conda_3.6_cpu_build
+ - binary_linux_conda_3.7_cpu_build
+ - binary_linux_conda_2.7_cu80_build
+ - binary_linux_conda_3.5_cu80_build
+ - binary_linux_conda_3.6_cu80_build
+ - binary_linux_conda_3.7_cu80_build
+ - binary_linux_conda_2.7_cu90_build
+ - binary_linux_conda_3.5_cu90_build
+ - binary_linux_conda_3.6_cu90_build
+ - binary_linux_conda_3.7_cu90_build
+ - binary_linux_conda_2.7_cu100_build
+ - binary_linux_conda_3.5_cu100_build
+ - binary_linux_conda_3.6_cu100_build
+ - binary_linux_conda_3.7_cu100_build
+ - binary_linux_libtorch_2.7m_cpu_build
+ - binary_linux_libtorch_2.7m_cu80_build
+ - binary_linux_libtorch_2.7m_cu90_build
+ - binary_linux_libtorch_2.7m_cu100_build
+ - binary_macos_wheel_2.7_cpu_build
+ - binary_macos_wheel_3.5_cpu_build
+ - binary_macos_wheel_3.6_cpu_build
+ - binary_macos_wheel_3.7_cpu_build
+ - binary_macos_conda_2.7_cpu_build
+ - binary_macos_conda_3.5_cpu_build
+ - binary_macos_conda_3.6_cpu_build
+ - binary_macos_conda_3.7_cpu_build
+ - binary_macos_libtorch_2.7_cpu_build
+
+ - binary_linux_manywheel_2.7m_cpu_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_manywheel_2.7m_cpu_build
+ - binary_linux_manywheel_2.7mu_cpu_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_manywheel_2.7mu_cpu_build
+ - binary_linux_manywheel_3.5m_cpu_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_manywheel_3.5m_cpu_build
+ - binary_linux_manywheel_3.6m_cpu_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_manywheel_3.6m_cpu_build
+ - binary_linux_manywheel_3.7m_cpu_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_manywheel_3.7m_cpu_build
+ - binary_linux_manywheel_2.7m_cu80_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_manywheel_2.7m_cu80_build
+ - binary_linux_manywheel_2.7mu_cu80_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_manywheel_2.7mu_cu80_build
+ - binary_linux_manywheel_3.5m_cu80_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_manywheel_3.5m_cu80_build
+ - binary_linux_manywheel_3.6m_cu80_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_manywheel_3.6m_cu80_build
+ - binary_linux_manywheel_3.7m_cu80_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_manywheel_3.7m_cu80_build
+ - binary_linux_manywheel_2.7m_cu90_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_manywheel_2.7m_cu90_build
+ - binary_linux_manywheel_2.7mu_cu90_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_manywheel_2.7mu_cu90_build
+ - binary_linux_manywheel_3.5m_cu90_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_manywheel_3.5m_cu90_build
+ - binary_linux_manywheel_3.6m_cu90_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_manywheel_3.6m_cu90_build
+ - binary_linux_manywheel_3.7m_cu90_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_manywheel_3.7m_cu90_build
+ - binary_linux_manywheel_2.7m_cu100_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_manywheel_2.7m_cu100_build
+ - binary_linux_manywheel_2.7mu_cu100_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_manywheel_2.7mu_cu100_build
+ - binary_linux_manywheel_3.5m_cu100_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_manywheel_3.5m_cu100_build
+ - binary_linux_manywheel_3.6m_cu100_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_manywheel_3.6m_cu100_build
+ - binary_linux_manywheel_3.7m_cu100_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_manywheel_3.7m_cu100_build
+ - binary_linux_conda_2.7_cpu_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_conda_2.7_cpu_build
+ - binary_linux_conda_3.5_cpu_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_conda_3.5_cpu_build
+ - binary_linux_conda_3.6_cpu_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_conda_3.6_cpu_build
+ - binary_linux_conda_3.7_cpu_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_conda_3.7_cpu_build
+ - binary_linux_conda_2.7_cu80_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_conda_2.7_cu80_build
+ - binary_linux_conda_3.5_cu80_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_conda_3.5_cu80_build
+ - binary_linux_conda_3.6_cu80_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_conda_3.6_cu80_build
+ - binary_linux_conda_3.7_cu80_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_conda_3.7_cu80_build
+ - binary_linux_conda_2.7_cu90_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_conda_2.7_cu90_build
+ - binary_linux_conda_3.5_cu90_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_conda_3.5_cu90_build
+ - binary_linux_conda_3.6_cu90_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_conda_3.6_cu90_build
+ - binary_linux_conda_3.7_cu90_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_conda_3.7_cu90_build
+ - binary_linux_conda_2.7_cu100_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_conda_2.7_cu100_build
+ - binary_linux_conda_3.5_cu100_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_conda_3.5_cu100_build
+ - binary_linux_conda_3.6_cu100_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_conda_3.6_cu100_build
+ - binary_linux_conda_3.7_cu100_test_and_upload:
+ context: org-member
+ requires:
+ - binary_linux_conda_3.7_cu100_build
projects / platform / upstream / pytorch.git / commitdiff