onnxruntime/tools/ci_build/github/azure-pipelines/win-gpu-ci-pipeline.yml
Numfor Tiapo e3086b2ed8
Move DML CI Pipeline to A10 (#15468)
This change moves the DML CI pipeline to the A10 machines and fixes or
disables tests that were failing from this change.

- Max error rate threshold was increased for Image Tests
- Some failing batch tests were disabled

---------

Co-authored-by: Changming Sun <chasun@microsoft.com>
2023-04-12 10:19:40 -07:00

105 lines
3.5 KiB
YAML

trigger:
branches:
include:
- main
- rel-*
paths:
exclude:
- docs/**
- README.md
- CONTRIBUTING.md
- BUILD.md
pr:
branches:
include:
- main
- rel-*
paths:
exclude:
- docs/**
- README.md
- CONTRIBUTING.md
- BUILD.md
parameters:
- name: RunOnnxRuntimeTests
displayName: Run Tests?
type: boolean
default: true
stages:
- stage: cuda
dependsOn: []
jobs:
- template: templates/win-ci-vs-2019.yml
parameters:
BuildConfig: 'RelWithDebInfo'
EnvSetupScript: setup_env_cuda_11.bat
buildArch: x64
additionalBuildFlags: --enable_pybind --build_java --build_nodejs --use_cuda --cuda_version=11.6 --cuda_home="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6" --enable_cuda_profiling --cmake_extra_defines CMAKE_CUDA_ARCHITECTURES=75
msbuildPlatform: x64
isX86: false
job_name_suffix: x64_RelWithDebInfo
RunOnnxRuntimeTests: ${{ parameters.RunOnnxRuntimeTests }}
RunStaticCodeAnalysis: false
ORT_EP_NAME: CUDA
WITH_CACHE: true
MachinePool: onnxruntime-Win2019-GPU-T4
- stage: training
dependsOn: []
jobs:
- template: templates/win-ci-vs-2019.yml
parameters:
BuildConfig: 'RelWithDebInfo'
EnvSetupScript: setup_env_cuda_11.bat
buildArch: x64
additionalBuildFlags: --enable_pybind --enable_training --use_cuda --cuda_version=11.6 --cuda_home="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6" --skip_onnx_tests --cmake_extra_defines CMAKE_CUDA_ARCHITECTURES=75
msbuildPlatform: x64
isX86: false
job_name_suffix: x64_RelWithDebInfo
RunOnnxRuntimeTests: ${{ parameters.RunOnnxRuntimeTests }}
RunStaticCodeAnalysis: false
ORT_EP_NAME: CUDA
WITH_CACHE: true
MachinePool: onnxruntime-Win2019-GPU-training-T4
isTraining: true
- stage: dml
dependsOn: []
jobs:
- template: templates/win-ci-vs-2019.yml
parameters:
BuildConfig: 'RelWithDebInfo'
EnvSetupScript: setup_env.bat
buildArch: x64
additionalBuildFlags: --enable_pybind --use_dml --enable_wcos --use_winml
msbuildPlatform: x64
isX86: false
job_name_suffix: x64_RelWithDebInfo
RunOnnxRuntimeTests: ${{ parameters.RunOnnxRuntimeTests }}
RunStaticCodeAnalysis: false
ORT_EP_NAME: DML
WITH_CACHE: true
# DirectML cannot run on T4 GPUs.
MachinePool: onnxruntime-Win2019-GPU-dml-A10
- stage: kernelDocumentation
dependsOn: []
jobs:
- template: templates/win-ci-vs-2019.yml
parameters:
BuildConfig: 'RelWithDebInfo'
EnvSetupScript: setup_env_cuda_11.bat
buildArch: x64
# note: need to specify `--gen_doc` when creating the build config so it has to be in additionalBuildFlags
additionalBuildFlags: --gen_doc validate --skip_tests --enable_pybind --use_dml --use_cuda --cuda_version=11.6 --cuda_home="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6" --cmake_extra_defines CMAKE_CUDA_ARCHITECTURES=75 --cmake_extra_defines onnxruntime_BUILD_UNIT_TESTS=OFF
msbuildPlatform: x64
isX86: false
job_name_suffix: x64_RelWithDebInfo
RunOnnxRuntimeTests: false
RunStaticCodeAnalysis: false
GenerateDocumentation: true
ORT_EP_NAME: CUDA # It doesn't really matter which EP is selected here since this stage is for documentation.
WITH_CACHE: true
MachinePool: onnxruntime-Win2019-GPU-T4