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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docker	Fix training e2e pipeline (#7942)	2021-06-04 09:37:09 -07:00
ort_minimal	Validate that the conversion script from the python package can be used to convert models. (#7517)	2021-05-04 16:25:04 +10:00
build_yocto.sh	Initiate the build scripts for ARM ACL (#2652)	2019-12-16 09:44:19 -08:00
copy_strip_binary.sh	Ryanunderhill/cuda shared (#7626)	2021-05-20 07:53:47 -07:00
copy_strip_binary_trt.sh	Ryanunderhill/cuda shared (#7626)	2021-05-20 07:53:47 -07:00
create_package.sh	Pull the latest image before running docker build	2019-11-22 13:48:37 -08:00
java_copy_strip_binary.sh	fixes for cuda centos/manylinux (#7830)	2021-05-25 19:38:59 -07:00
java_linux_final_test.sh	Delete Dockerfile.centos6_gpu (#4851)	2020-08-28 09:56:52 -07:00
run_build.sh	Update manylinux build scripts and GPU CUDA version from 11.0 to 11.1 (#7632)	2021-06-02 23:36:49 -07:00
run_dockerbuild.sh	Fix training e2e pipeline (#7942)	2021-06-04 09:37:09 -07:00
test_custom_ops_pytorch_export.sh	Add Trilu custom op (#4537)	2020-08-17 14:42:26 -07:00
upload_ortsrv_binaries.sh	Refactor Onnx runtime Server to only use public APIs (#1271)	2019-07-04 01:08:14 -07:00
yocto_build_toolchain.sh	Initiate the build scripts for ARM ACL (#2652)	2019-12-16 09:44:19 -08:00