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[2.5.1 release] Update artifacts.auto.tfvars for 2.5.1 release #10274

[2.5.1 release] Update artifacts.auto.tfvars for 2.5.1 release

[2.5.1 release] Update artifacts.auto.tfvars for 2.5.1 release #10274

name: Build and test
on:
pull_request:
branches:
- master
- r[0-9]+.[0-9]+
paths-ignore:
- 'experimental/**'
push:
branches:
- master
- r[0-9]+.[0-9]+
paths-ignore:
- 'experimental/**'
workflow_dispatch:
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }}-${{ github.event_name == 'workflow_dispatch' }}-${{ github.event_name == 'schedule' }}
cancel-in-progress: true
jobs:
get-torch-commit:
runs-on: ubuntu-latest
outputs:
torch_commit: ${{ steps.commit.outputs.torch_commit }}
steps:
- id: commit
name: Get latest torch commit
run: |
echo "torch_commit=$(git ls-remote https://github.com/pytorch/pytorch.git HEAD | awk '{print $1}')" >> "$GITHUB_OUTPUT"
build-torch-xla:
name: "Build PyTorch/XLA"
uses: ./.github/workflows/_build_torch_xla.yml
needs: get-torch-commit
with:
dev-image: us-central1-docker.pkg.dev/tpu-pytorch-releases/docker/development:3.10_tpuvm
torch-commit: ${{needs.get-torch-commit.outputs.torch_commit}}
secrets:
gcloud-service-key: ${{ secrets.GCLOUD_SERVICE_KEY }}
# Disable due to https://github.com/pytorch/xla/issues/8199
# build-torch-with-cuda:
# name: "Build PyTorch with CUDA"
# uses: ./.github/workflows/_build_torch_with_cuda.yml
# needs: get-torch-commit
# with:
# # note that to build a torch wheel with CUDA enabled, we do not need a GPU runner.
# dev-image: us-central1-docker.pkg.dev/tpu-pytorch-releases/docker/development:3.10_cuda_12.1
# torch-commit: ${{needs.get-torch-commit.outputs.torch_commit}}
# runner: linux.24xlarge
# Disable due to https://github.com/pytorch/xla/issues/8199
# build-cuda-plugin:
# name: "Build XLA CUDA plugin"
# uses: ./.github/workflows/_build_plugin.yml
# with:
# dev-image: us-central1-docker.pkg.dev/tpu-pytorch-releases/docker/development:3.10_cuda_12.1
# secrets:
# gcloud-service-key: ${{ secrets.GCLOUD_SERVICE_KEY }}
test-python-cpu:
name: "CPU tests"
uses: ./.github/workflows/_test.yml
needs: [build-torch-xla, get-torch-commit]
with:
dev-image: us-central1-docker.pkg.dev/tpu-pytorch-releases/docker/development:3.10_tpuvm
timeout-minutes: 120
collect-coverage: false
torch-commit: ${{needs.get-torch-commit.outputs.torch_commit}}
secrets:
gcloud-service-key: ${{ secrets.GCLOUD_SERVICE_KEY }}
# Disable due to https://github.com/pytorch/xla/issues/8199
# test-cuda:
# name: "GPU tests"
# uses: ./.github/workflows/_test.yml
# needs: [build-torch-xla, build-cuda-plugin, get-torch-commit]
# with:
# dev-image: us-central1-docker.pkg.dev/tpu-pytorch-releases/docker/development:3.10_cuda_12.1
# runner: linux.8xlarge.nvidia.gpu
# timeout-minutes: 300
# collect-coverage: false
# install-cuda-plugin: true
# torch-commit: ${{needs.get-torch-commit.outputs.torch_commit}}
# secrets:
# gcloud-service-key: ${{ secrets.GCLOUD_SERVICE_KEY }}
# Disable due to https://github.com/pytorch/xla/issues/8199
# test-cuda-with-pytorch-cuda-enabled:
# name: "GPU tests requiring torch CUDA"
# uses: ./.github/workflows/_test_requiring_torch_cuda.yml
# needs: [build-torch-with-cuda, build-torch-xla, build-cuda-plugin, get-torch-commit]
# with:
# dev-image: us-central1-docker.pkg.dev/tpu-pytorch-releases/docker/development:3.10_cuda_12.1
# runner: linux.8xlarge.nvidia.gpu
# timeout-minutes: 300
# collect-coverage: false
# torch-commit: ${{needs.get-torch-commit.outputs.torch_commit}}
test-tpu:
name: "TPU tests"
uses: ./.github/workflows/_tpu_ci.yml
needs: build-torch-xla
# Only run this for HEAD and releases
if: github.event_name == 'push' || contains(github.event.pull_request.labels.*.name, 'tpuci')
push-docs:
name: "Build docs"
uses: ./.github/workflows/_docs.yml
needs: build-torch-xla
with:
dev-image: us-central1-docker.pkg.dev/tpu-pytorch-releases/docker/development:3.10_tpuvm
secrets:
torchxla-bot-token: ${{ secrets.TORCH_XLA_BOT_TOKEN }}