Changming Sun 5a7f65b831 Fix training e2e pipeline (#7942) ... 1. Fix training e2e pipeline. The failure was caused by my recent change #7632. The fix is adding "--cmake_extra_defines CMAKE_CUDA_ARCHITECTURES=70" to the build parameters because the machines are with V100 GPUs. 2. Simplify Nuphar pipeline. It doesn't need to install a separated ONNX version(1.5.0) 3. Fix a problem that run_dockerbuild.sh ignored OS version parameter. Now because it starts to take effect, I also set python version to the system default one(3.8 for ubuntu 20.04)		2021-06-04 09:37:09 -07:00
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manylinux	Add graphviz into Dockerfile images for Python API documentation (#7819)	2021-06-02 16:12:54 -07:00
training	Add graphviz into Dockerfile images for Python API documentation (#7819)	2021-06-02 16:12:54 -07:00
install_centos.sh	Add graphviz into Dockerfile images for Python API documentation (#7819)	2021-06-02 16:12:54 -07:00
install_deps_android.sh	Update manylinux build scripts and GPU CUDA version from 11.0 to 11.1 (#7632)	2021-06-02 23:36:49 -07:00
install_ninja.sh	Liqun/training pkg to run tests (#7662)	2021-05-16 09:10:57 -07:00
install_openmpi.sh	Synchronize training dependency versions between Docker image and Python wheel. (#5261)	2020-09-23 19:03:42 -07:00
install_os_deps.sh	Add graphviz into Dockerfile images for Python API documentation (#7819)	2021-06-02 16:12:54 -07:00
install_protobuf.sh	Update protobuf to 3.16 (#7616)	2021-05-07 14:09:23 -07:00
install_python_deps.sh	test migration to rocm4.2 (#7800)	2021-05-24 11:48:44 -07:00
install_server_deps.sh	Update protobuf to 3.16 (#7616)	2021-05-07 14:09:23 -07:00
install_ubuntu.sh	Fix training e2e pipeline (#7942)	2021-06-04 09:37:09 -07:00
requirements.txt	Bump to rel-1.9.1 (#7684)	2021-05-13 18:41:28 -07:00