conda: add _GLIBCXX_USE_CXX11_ABI=1 support for linux cpu wheel #1095
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
The target of this commit is to add the support for a new linux
cpu conda wheel file built with _GLIBCXX_USE_CXX11_ABI=1.
we add a Dockerfile (conda/Dockerfile_cxx11-abi) with CentOS8 as base image to
support CXX11_ABI=1.
To build the new docker image with CXX11_ABI support, run:
CUDA_VERSION=cpu-cxx11-abi conda/build_docker.sh
or
conda/build_all_docker.sh
To build a linux cpu conda wheel with CXX11_ABI within this image, run:
// the below settings are special for this image
export DESIRED_CUDA=cpu-cxx11-abi # change from cpu for wheel name
export GPU_ARCH_TYPE=cpu-cxx11-abi # change from cpu for build.sh
export DOCKER_IMAGE=pytorch/conda-builder:cpu-cxx11-abi
export DESIRED_DEVTOOLSET=cxx11-abi
// the below settings are as usual
export BINARY_ENV_FILE=/tmp/env
export BUILDER_ROOT=/builder
export DESIRED_PYTHON=3.7 # or 3.8, 3.9, etc.
export IS_GHA=1
export PACKAGE_TYPE=conda
export PYTORCH_FINAL_PACKAGE_DIR=/artifacts
export PYTORCH_ROOT=/pytorch
export GITHUB_WORKSPACE=/your_path_to_workspace
// the '-e DESIRED_DEVTOOLSET' below is newly added for this container,
// others are as usual
set -x
mkdir -p artifacts/
container_name=$(docker run
-e BINARY_ENV_FILE
-e BUILDER_ROOT
-e DESIRED_CUDA
-e DESIRED_PYTHON
-e GPU_ARCH_TYPE
-e IS_GHA
-e PACKAGE_TYPE
-e PYTORCH_FINAL_PACKAGE_DIR
-e PYTORCH_ROOT
-e DOCKER_IMAGE
-e DESIRED_DEVTOOLSET
--tty
--detach
-v "${GITHUB_WORKSPACE}/pytorch:/pytorch"
-v "${GITHUB_WORKSPACE}/builder:/builder"
-v "${RUNNER_TEMP}/artifacts:/artifacts"
-w /
"${DOCKER_IMAGE}"
)
// build conda wheel as usual,
// and the built wheel file name looks like: pytorch-1.13.0.dev20220616-py3.7_cpu_0.tar.bz2
docker exec -t -w "${PYTORCH_ROOT}" "${container_name}" bash -c "bash .circleci/scripts/binary_populate_env.sh"
docker exec -t "${container_name}" bash -c "source ${BINARY_ENV_FILE} && bash /builder/conda/build.sh"
// to verify the built wheel file, we'll see 'True'
$ conda install pytorch-1.13.0.dev20220616-py3.7_cpu_0.tar.bz2
$ python -c 'import torch; print(torch._C._GLIBCXX_USE_CXX11_ABI)'
True
Co-authored-by: Zhu Hong [email protected]
Co-authored-by: Guo Yejun [email protected]