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verify-pipeline.yml
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verify-pipeline.yml
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# PyTorch Official Builds Pipeline on Azure DevOps
#
# This pipeline:
# 1) builds PyTorch on all available configurations
# 2) verifies PyTorch artifacts by installing them in a clean environment
# and checking torch.__version_
# 3) publishes official PyTorch artifacts to Azure DevOps Artifacts for consumption
stages:
- stage: 'Build'
displayName: 'Build PyTorch'
jobs:
- template: job_templates/build-verify-publish-template-unix.yml
parameters:
name: ubuntu_1804_CPU_docker
pool: 'PyTorch-Linux-CPU'
container_endpoint: pytorchms.azurecr.io
build_stage: True
is_official_build: True
os: ubuntu
cuda: cpu
customMatrixes:
Py_38:
configuration: ubuntu_1804_py_38_cpu
container_image: pytorchms.azurecr.io/ubuntu_1804_py_38_cpu_dev
Py_37:
configuration: ubuntu_1804_py_37_cpu
container_image: pytorchms.azurecr.io/ubuntu_1804_py_37_cpu_dev
- template: job_templates/build-verify-publish-template-unix.yml
parameters:
name: ubuntu_1804_GPU_docker
pool: 'PyTorch-Linux-GPU'
container_endpoint: pytorchms.azurecr.io
build_stage: True
is_official_build: True
os: ubuntu
cuda: gpu
customMatrixes:
Py_39_CUDA_112_cuDNN_810:
configuration: ubuntu_1804_py_39_cuda_112_cudnn_810
container_image: pytorchms.azurecr.io/ubuntu_1804_py_39_cuda_112_cudnn_8_dev
CUDA_VERSION: 112
Py_38_CUDA_102_cuDNN_810:
configuration: ubuntu_1804_py_38_cuda_102_cudnn_810
container_image: pytorchms.azurecr.io/ubuntu_1804_py_38_cuda_102_cudnn_8_dev
CUDA_VERSION: 102
Py_37_CUDA_101_cuDNN_765:
configuration: ubuntu_1804_py_37_cuda_101_cudnn_765
container_image: pytorchms.azurecr.io/ubuntu_1804_py_37_cuda_101_cudnn_7_dev
CUDA_VERSION: 101
- template: job_templates/build-verify-publish-template-win.yml
parameters:
name: windows_2019_CPU
pool: 'PyTorch-Win-CPU'
build_stage: True
is_official_build: True
os: windows
cuda: cpu
customMatrixes:
Py_38:
configuration: windows_2019_py_38_cpu
Py_37:
configuration: windows_2019_py_37_cpu
- template: job_templates/build-verify-publish-template-win.yml
parameters:
name: windows_2019_GPU
pool: 'PyTorch-Win-GPU'
build_stage: True
is_official_build: True
os: windows
cuda: gpu
customMatrixes:
Py_39_CUDA_112_cuDNN_810:
configuration: windows_2019_py_39_cuda_112_cudnn_810
CUDA_VERSION: 112
Py_38_CUDA_102_cuDNN_765:
configuration: windows_2019_py_38_cuda_102_cudnn_765
CUDA_VERSION: 102
Py_37_CUDA_101_cuDNN_764:
configuration: windows_2019_py_37_cuda_101_cudnn_764
CUDA_VERSION: 101
- stage: 'Verify'
displayName: 'Verify PyTorch wheels'
dependsOn: Build
condition: succeeded()
jobs:
- template: job_templates/build-verify-publish-template-unix.yml
parameters:
name: ubuntu_1804_CPU_docker
pool: 'PyTorch-Linux-CPU'
container_endpoint: pytorchms.azurecr.io
verify_stage: True
is_official_build: True
customMatrixes:
Py_38:
configuration: ubuntu_1804_py_38_cpu
container_image: pytorchms.azurecr.io/ubuntu_1804_py_38_cpu_dev
Py_37:
configuration: ubuntu_1804_py_37_cpu
container_image: pytorchms.azurecr.io/ubuntu_1804_py_37_cpu_dev
- template: job_templates/build-verify-publish-template-unix.yml
parameters:
name: ubuntu_1804_GPU_docker
pool: 'PyTorch-Linux-GPU'
container_endpoint: pytorchms.azurecr.io
verify_stage: True
is_official_build: True
customMatrixes:
Py_39_CUDA_112_cuDNN_810:
configuration: ubuntu_1804_py_39_cuda_112_cudnn_810
container_image: pytorchms.azurecr.io/ubuntu_1804_py_39_cuda_112_cudnn_8_dev
CUDA_VERSION: 112
Py_38_CUDA_102_cuDNN_810:
configuration: ubuntu_1804_py_38_cuda_102_cudnn_810
container_image: pytorchms.azurecr.io/ubuntu_1804_py_38_cuda_102_cudnn_8_dev
CUDA_VERSION: 102
Py_37_CUDA_101_cuDNN_765:
configuration: ubuntu_1804_py_37_cuda_101_cudnn_765
container_image: pytorchms.azurecr.io/ubuntu_1804_py_37_cuda_101_cudnn_7_dev
CUDA_VERSION: 101
- template: job_templates/build-verify-publish-template-win.yml
parameters:
name: windows_2019_CPU
pool: 'PyTorch-Win-CPU'
verify_stage: True
is_official_build: True
customMatrixes:
Py_38:
configuration: windows_2019_py_38_cpu
Py_37:
configuration: windows_2019_py_37_cpu
- template: job_templates/build-verify-publish-template-win.yml
parameters:
name: windows_2019_GPU
pool: 'PyTorch-Win-GPU'
verify_stage: True
is_official_build: True
customMatrixes:
Py_39_CUDA_112_cuDNN_810:
configuration: windows_2019_py_39_cuda_112_cudnn_810
CUDA_VERSION: 112
Py_38_CUDA_102_cuDNN_765:
configuration: windows_2019_py_38_cuda_102_cudnn_765
CUDA_VERSION: 102
Py_37_CUDA_101_cuDNN_764:
configuration: windows_2019_py_37_cuda_101_cudnn_764
CUDA_VERSION: 101
- stage: 'Publish'
displayName: 'Publish PyTorch wheels'
dependsOn: Verify
condition: succeeded()
jobs:
- template: job_templates/build-verify-publish-template-unix.yml
parameters:
name: ubuntu_1804_CPU_docker
pool: 'PyTorch-Linux-CPU'
container_endpoint: pytorchms.azurecr.io
publish_stage: True
is_official_build: True
customMatrixes:
Py_38:
configuration: ubuntu_1804_py_38_cpu
container_image: pytorchms.azurecr.io/ubuntu_1804_py_38_cpu_dev
Py_37:
configuration: ubuntu_1804_py_37_cpu
container_image: pytorchms.azurecr.io/ubuntu_1804_py_37_cpu_dev
- template: job_templates/build-verify-publish-template-unix.yml
parameters:
name: ubuntu_1804_GPU_docker
pool: 'PyTorch-Linux-GPU'
container_endpoint: pytorchms.azurecr.io
publish_stage: True
is_official_build: True
customMatrixes:
Py_39_CUDA_112_cuDNN_810:
configuration: ubuntu_1804_py_39_cuda_112_cudnn_810
container_image: pytorchms.azurecr.io/ubuntu_1804_py_39_cuda_112_cudnn_8_dev
CUDA_VERSION: 112
Py_38_CUDA_102_cuDNN_810:
configuration: ubuntu_1804_py_38_cuda_102_cudnn_810
container_image: pytorchms.azurecr.io/ubuntu_1804_py_38_cuda_102_cudnn_8_dev
CUDA_VERSION: 102
Py_37_CUDA_101_cuDNN_765:
configuration: ubuntu_1804_py_37_cuda_101_cudnn_765
container_image: pytorchms.azurecr.io/ubuntu_1804_py_37_cuda_101_cudnn_7_dev
CUDA_VERSION: 101
- template: job_templates/build-verify-publish-template-win.yml
parameters:
name: windows_2019_CPU
pool: 'PyTorch-Win-CPU'
publish_stage: True
is_official_build: True
customMatrixes:
Py_38:
configuration: windows_2019_py_38_cpu
Py_37:
configuration: windows_2019_py_37_cpu
- template: job_templates/build-verify-publish-template-win.yml
parameters:
name: windows_2019_GPU
pool: 'PyTorch-Win-GPU'
publish_stage: True
is_official_build: True
customMatrixes:
Py_39_CUDA_112_cuDNN_810:
configuration: windows_2019_py_39_cuda_112_cudnn_810
CUDA_VERSION: 112
Py_38_CUDA_102_cuDNN_765:
configuration: windows_2019_py_38_cuda_102_cudnn_765
CUDA_VERSION: 102
Py_37_CUDA_101_cuDNN_764:
configuration: windows_2019_py_37_cuda_101_cudnn_764
CUDA_VERSION: 101