onnxruntime/tools/ci_build/github/azure-pipelines/templates/py-linux-gpu.yml
Yifan Li bb76ead96c
[TensorRT EP] support TensorRT 10.2-GA (#21395)
### Description
<!-- Describe your changes. -->
* promote trt version to 10.2.0.19
* EP_Perf CI: clean config of legacy TRT<8.6, promote test env to
trt10.2-cu118/cu125
* skip two tests as Float8/BF16 are supported by TRT>10.0 but TRT CIs
are not hardware-compatible on these:
 ```
 1: [  FAILED  ] 2 tests, listed below:
 1: [  FAILED  ] IsInfTest.test_isinf_bfloat16
 1: [  FAILED  ] IsInfTest.test_Float8E4M3FN
 ```

### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
2024-07-18 12:11:52 -07:00

91 lines
2.8 KiB
YAML

parameters:
- name: arch
type: string
- name: machine_pool
type: string
- name: extra_build_arg
type: string
default: ''
- name: cmake_build_type
type: string
default: 'Release'
values:
- Debug
- Release
- RelWithDebInfo
- MinSizeRel
- name: docker_base_image
type: string
- name: trt_version
type: string
default: '10.2.0.19-1.cuda11.8'
values:
- 10.2.0.19-1.cuda11.8
- 10.2.0.19-1.cuda12.5
- name: cuda_version
type: string
default: '11.8'
values:
- 11.8
- 12.2
stages:
- stage: Linux_py_GPU_Wheels_${{ parameters.arch }}
dependsOn: []
jobs:
- job: Linux_py_GPU_Wheels_${{ parameters.arch }}
timeoutInMinutes: 240
workspace:
clean: all
pool: ${{ parameters.machine_pool }}
variables:
# The build machine pool doesn't have dotnet, so it can't run CG.
- name: skipComponentGovernanceDetection
value: true
- name: extra_build_args
${{ if ne(parameters.extra_build_arg, '') }}:
value: -x ${{ parameters.extra_build_arg }}
${{ if eq(parameters.extra_build_arg, '') }}:
value: ''
steps:
- checkout: self
clean: true
submodules: recursive
- template: set-nightly-build-option-variable-step.yml
- template: get-docker-image-steps.yml
parameters:
Dockerfile: tools/ci_build/github/linux/docker/inference/${{ parameters.arch }}/python/cuda/Dockerfile
Context: tools/ci_build/github/linux/docker/inference/${{ parameters.arch }}/python/cuda
DockerBuildArgs: "--build-arg BASEIMAGE=${{ parameters.docker_base_image }} --build-arg TRT_VERSION=${{ parameters.trt_version }} --build-arg BUILD_UID=$( id -u )"
Repository: onnxruntimecuda${{ replace(parameters.cuda_version, '.', '') }}xtrt86build${{ parameters.arch }}
- task: Bash@3
displayName: 'Build Python Wheel'
inputs:
targetType: filePath
filePath: tools/ci_build/github/linux/run_python_dockerbuild.sh
arguments: -i onnxruntimecuda${{ replace(parameters.cuda_version, '.', '') }}xtrt86build${{ parameters.arch }} -d "GPU" -c ${{ parameters.cmake_build_type }} $(extra_build_args)
- task: PublishBuildArtifacts@1
displayName: 'Publish Artifact: ONNXRuntime python wheel'
inputs:
PathtoPublish: '$(Build.BinariesDirectory)/dist'
ArtifactName: onnxruntime_gpu
- task: PublishPipelineArtifact@0
displayName: 'Publish Test Binaries'
inputs:
artifactName: 'drop-linux-gpu-${{ parameters.arch }}'
targetPath: '$(Build.BinariesDirectory)/Release'
- task: mspremier.PostBuildCleanup.PostBuildCleanup-task.PostBuildCleanup@3
displayName: 'Clean Agent Directories'
condition: always()