[cuda backend] optimized L_kv threshold for sdpa implementation selection. #8481
Workflow file for this run
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| name: Cadence Build & Test | |
| on: | |
| schedule: | |
| - cron: 0 8 * * * | |
| push: | |
| branches: | |
| - main | |
| - release/* | |
| tags: | |
| - ciflow/nightly/* | |
| pull_request: | |
| workflow_dispatch: | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }}-${{ github.event_name == 'workflow_dispatch' }} | |
| cancel-in-progress: true | |
| jobs: | |
| cpu-build: | |
| uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main | |
| permissions: | |
| id-token: write | |
| contents: read | |
| with: | |
| job-name: build | |
| runner: linux.2xlarge | |
| docker-image: ci-image:executorch-ubuntu-22.04-clang12 | |
| submodules: recursive | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
| timeout: 90 | |
| upload-artifact: cadence-runner-build | |
| script: | | |
| set -eux | |
| # The generic Linux job chooses to use base env, not the one setup by the image | |
| CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") | |
| conda activate "${CONDA_ENV}" | |
| ./install_requirements.sh > /dev/null | |
| bash backends/cadence/build_cadence_runner.sh | |
| # Copy runner binary to artifact dir for downstream test jobs | |
| cp cmake-out/backends/cadence/cadence_runner "${RUNNER_ARTIFACT_DIR}/" | |
| cpu-test: | |
| needs: cpu-build | |
| permissions: | |
| id-token: write | |
| contents: read | |
| uses: ./.github/workflows/_test_cadence.yml | |
| with: | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} |