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Cherry-pick Egaerly execute inplace ops if in eager mode #7322 #9271

Cherry-pick Egaerly execute inplace ops if in eager mode #7322

Cherry-pick Egaerly execute inplace ops if in eager mode #7322 #9271

Workflow file for this run

name: Build and test
on:
pull_request:
branches:
- master
- r[0-9]+.[0-9]+
paths-ignore:
- 'experimental/torch_xla2/**'
push:
branches:
- master
- r[0-9]+.[0-9]+
paths-ignore:
- 'experimental/torch_xla2/**'
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:
name: "Get torch commit"
uses: ./.github/workflows/_get_torch_commit.yml
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 }}
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
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 }}
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 }}
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 }}