onnxruntime/tools/ci_build/github/linux/docker/scripts/manylinux
Changming Sun 123e1eac01
Remove torch and valgrind from inference pipelines (#13568)
Pytorch was added to inference pipelines in PR #8027. But, actually
these pipelines do not use PyTorch. PyTorch is huge, here we need to
install it for 4 different Python versions. If we remove PyTorch, we
will significantly reduce the image size. And, now downloading a pytorch
package often takes more than 1 hour. If we do it 4 times, it may take 4
hours.

Valgrind was added by me long time back, and it was not used too. Now we
run Linux tests outside of docker containers. So, when we have the need,
we could install it through apt-get on Ubuntu instead of doing it in the
CentOS container.
2022-11-08 14:51:02 -08:00
..
install_centos.sh Remove the dependency on CentOS EPEL (#13567) 2022-11-06 21:28:16 -08:00
install_deps.sh Remove torch and valgrind from inference pipelines (#13568) 2022-11-08 14:51:02 -08:00
install_deps_aten.sh Upgrade pytorch to 1.12.1 for training pipelines (#13128) 2022-09-28 17:59:49 -07:00
install_deps_eager.sh [JS] upgrade package-lock.json from v1 to v2 (#11039) 2022-03-30 13:30:28 -07:00
install_deps_lort.sh Enable ORT in TorchDynamo (#13259) 2022-11-01 11:19:29 -07:00
install_ubuntuos.sh Update CUDA version to 11.6 and refactor python packaging pipeline (#13002) 2022-09-23 00:29:27 -07:00
requirements.txt Bump protobuf in /tools/ci_build/github/linux/docker/scripts/manylinux 2022-09-24 15:21:50 -07:00